Objectives: The purpose of this article was to familiarize pediatricians with the diagnosis and management of pinworm infestation.

Methods: A search was conducted in August 2023 in PubMed Clinical Queries using the key terms “Enterobius vermicularis,” OR “enterobiasis,” OR “pinworm.” The search strategy included all clinical trials, observational studies, and reviews published within the past 10 years. Only papers published in the English literature were included in this review. The information retrieved from the above search was used in the compilation of the present article.

Results: Enterobiasis is a cosmopolitan parasitosis caused by Enterobius vermicularis. It affects approximately 30% of children worldwide and up to 60% of children in some developing countries. Predisposing factors include poor socioeconomic conditions, inadequate sanitation, poor personal hygiene, and overcrowding. Children aged 5 to 14 years have shown the highest prevalence of enterobiasis.. Egg transmission is mainly by the fecal-oral route. Approximately 30 to 40% of infested patients do not show any clinical symptoms of the disease. For symptomatic patients, the most common presenting symptom is nocturnal pruritus ani. The diagnosis of E. vermicularis infection is best established by the cellophane tape test. The sensitivity of one single test is around 50%; however, the sensitivity increases to approximately 90% with tests performed on three different mornings. If a worm is visualized in the perianal area or the stool, a pathological examination of the worm will yield a definitive diagnosis. As pinworms and eggs are not usually passed in the stool, examination of the stool is not recommended. The drugs of choice for the treatment of pinworm infestation are mebendazole (100 mg), pyrantel pamoate (11 mg/kg, maximum 1 g), and albendazole (400 mg), all of the above-mentioned drugs are given in a single dose and repeated in two weeks. Mebendazole and albendazole are both adulticidal and ovicidal, whereas pyrantel pamoate is only adulticidal. Given their safety and effectiveness, mebendazole and albendazole are currently the best available drugs for the treatment of pinworm infestation. For pregnant women, pyrantel is preferred to mebendazole and albendazole. Treatment of all household members should be considered, especially if there are multiple or repeated symptomatic infections because reinfection is common even when effective medication is given.

Conclusion: In spite of effective treatment of pinworm infestation, recurrences are common. Recurrences are likely due to repeated cycles of reinfection (particularly, autoinfection) because of the short life span of adult pinworms. Good personal hygiene, such as frequent handwashing, especially after bowel movements and before meals, clipping of fingernails, avoidance of finger-sucking, nail-biting, and scratching in the anogenital area, are important preventive measures. Treatment of all household members should be considered, especially if there are multiple or repeated symptomatic infections.

Case Study: We report a case of the rare fibromyxoid variant of nephrogenic adenoma in the prostate urethra. To the best of our knowledge, only a few cases have been described in the literature.

Conclusion: This tumour can have variable morphological patterns with occasional worrisome features that can mimic carcinoma of the lower urinary tract.

Objective: This paper aims to discuss the mechanism of actions, pathways, and metabolites triggered due to the development of neuropathy and nephropathy post-long-haul diabetes in patients. The therapeutic targets are also highlighted, proving to be a potential cure for such conditions.

Methods: Research works were searched from international and national databases with keywords like “diabetes,” “diabetic nephropathy,” “NADPH,” “oxidative stress,” “PKC,” “Molecular mechanisms,” “ cellular mechanisms,” “complications of diabetes,” and “factors.” The databases searched were PubMed, Scopus, Directory of open access journals, Semantic Scholar, Core, Europe PMC, EMBASE, Nutrition, FSTA- Food Science and Technology, Merck Index, Google Scholar, PubMed, Science Open, MedlinePlus, Indian citation index, World Wide Science, and Shodhganga.

Results: Pathways causing protein kinase C (PKC) activation, free radical injury, oxidative stress, and aggravating the conditions of neuropathy and nephropathy were discussed. In diabetic neuropathy and nephropathy, neurons and nephrons are affected to the extent that their normal physiology is disturbed, thus leading to further complications and conditions of loss of nerve sensation in diabetic neuropathy and kidney failure in diabetic nephropathy.

Current treatment options available for the management of diabetic neuropathy are anticonvulsants, antidepressants, and topical medications, including capsaicin. According to AAN guidelines, pregabalin is recommended as the first line of therapy, whereas other drugs currently used for treatment are gabapentin, venlafaxine, opioids, amitriptyline, and valproate.

Drug targets for treating diabetic neuropathy must suppress the activated polyol pathways, kinase C, hexosamine, and other pathways, which amplify neuroinflammation. Targeted therapy must focus on the reduction of oxidative stress and proinflammatory cytokines and suppression of neuroinflammation, NF-κB, AP-1, etc.

Conclusion: Potential drug targets must be considered for new research on the treatment of neuropathy and nephropathy conditions.]]> https://www.benthamscience.comarticle/135496 https://www.benthamscience.comarticle/138645Background: Amplification of inosine monophosphate dehydrogenase II, EC 1,1,1,205 (IMPDH2) has been reported in various cancers, which results in transformation and tumorigenicity. In our current work, we have explored the oncogenic properties and the underlying pathophysiology of IMPDH2 in hepatoblastoma (HB).

Methods: To investigate IMPDH2 expression in HB tissues and prognostic significance in HB patients, gene expression profiling interactive analysis (GEPIA) has been adopted. Immunohistochemistry has also helped to validate the protein expression of IMPDH2 in HB tissues. The effect of IMPDH2 overexpression or depletion on the proliferation of Hepatoblastoma cells in vitro has been evaluated by CCK8 assays and colony formation assays. Xenograft tumor growth of mice has been detected. Luciferase reporter assays have been conducted to determine the interaction of IMPDH2 and JunB, which was further asserted by pharmacological inhibition of JunB.

Results: IMPDH2 was highly expressed in HB tissues. Experimentally, the proliferation and colony formation of HuH6 cells were increased by IMPDH2 overexpression. Conversely, genetic inactivation of IMPDH2 impaired the proliferative efficiency and colony-forming rate of HepG2 cells. Besides, the luciferase reporter assay validated IMPDH2 overexpression to be associated with enhanced JunB transcriptional activity, while its activity was diminished in the case of IMPDH2 depletion. JunB inhibitor neutralized the IMPDH2-mediated increased phosphorylation of JunB.

Conclusion: Our findings, thus, suggest that IMPDH2 exhibits its oncogenic role in HB partially via JunB-dependent proliferation.

Objective: The goal of the current research was to create a biocompatible GSH-depleting and tumor- targeting nanoparticle (denoted as DOX/CA@PCN-224@HA) for the combined photodynamic and chemo photo-chemo) therapy.

Methods: The nanoparticles were characterized by transmission electron microscopy (TEM). A UV-vis spectrophotometer was used to measure the drug loading efficiency (DE) and encapsulation efficiency (EE). The GSH-depleting ability was measured using Ellman's test. Confocal laser scan microscopy (CLSM) was used to assess the cellular uptake. MTT was adopted to evaluate the cytotoxicity of DOX/CA@PCN-224@HA against 4T1 cells.

Results: The altered PCN-224 showed excellent monodispersing with a dimension of approximately 193 nm ± 2 nm in length and 79 nm ± 3 nm in width. The larger and spindle grid-like structure of PCN-224 obtains better dual-drug loading ability (DOX: 20.58% ± 2.60%, CA: 21.81% ± 1.98%) compared with other spherical PCN-224 nanoparticles. The ultimate cumulative drug release rates with hyaluronidase (HAase) were 74% ± 1% (DOX) and 45% ± 2% (CA) after 72 h. DOX/CA@PCN-224@HA showed GSH-consuming capability, which could improve the PDT effect. The drug-loaded nanoparticles could accurately target 4T1 cells through biological evaluations. Moreover, the released DOX and CA display cooperative effects on 4T1 cells in vitro. DOX/CA@PCN-224@HA nanoparticles showed inhibition against 4T1 cells with an IC₅₀ value of 2.71 μg mL^-1.

Conclusion: This nanosystem displays great potential for tumor-targeted enhanced (photo-chemo) therapy.

Background: GBM is the most malignant primary brain cancer with a poor prognosis. Previous studies have suggested that GBM vessels undergo dynamic remodeling modulated by tumor vasodilation and vasoconstriction instead of tumor angiogenesis.

Objective: Here, we have first investigated the expression and function of UTS2, a potent vasoconstrictor, in GBM.

Methods: The mRNA expression profiles and clinical information of GBM patients were obtained from the TCGA database. The clinical relevance of UTS2 was explored by the Mann-Whitney U test and Cox hazard regression survival test. We further explored the role of UTS2 in GBM cell proliferation, migration, and tumor immune microenvironment. Moreover, we established the in vivo mice model to validate its oncogenic effects on GBM progression.

Results: Although we did not find significant correlations between UTS2 expression and patients’ clinical characteristics, UTS2 was identified as a valid independent prognostic indicator according to multivariate survival analysis. Knockdown of UTS2 resulted in decreased GBM cell proliferation and migration. In addition, functional enrichment analysis implied UTS2 to be involved in the regulation of the immune microenvironment. In vivo studies showed that UTS2 knockdown suppressed GBM xenograft growth, highlighting the tumor-promoting effects of UTS2 on GBM.

Conclusion: Our study identified that UTS2 could predict the prognosis of GBM patients and provided evidence regarding its oncogenic effects both in vitro and in vivo.

Methods: A total of 64 pre-menopausal women with uterine fibroids complicated vitamin D deficiency were enrolled in this study and randomly divided into two groups: the vitamin D group (n=32) which received oral vitamin D (1600 IU/ day) and the control group (n=32) without vitamin D supplementation. After three months of intervention, the mean diameter of uterine fibroids, elastic strain ratio, and blood flow grade were evaluated by multimodal ultrasound, and the clinical symptoms of the two groups were evaluated by questionnaire.

Results: The vitamin D group reported a significant increment in the serum 25-hydroxyvitamin D (P < 0.001). In addition, there were significant reductions in the mean diameter, and elastic strain ratio of uterine fibroids (P =.043 and P =.038, respectively), but no significant difference in the blood flow grade of uterine fibroids was observed (P =.272). Compared with the control group, the vitamin D group achieved significant relief in dysmenorrhea and frequent urination, as well as improvement in heavy menstrual bleeding.

Conclusion: The application of multimodal ultrasound provides a more comprehensive theoretical basis for vitamin on uterine fibroids. Vitamin D can effectively reduce the size of uterine fibroids in pre-menopausal women and relieve their symptoms. It is highly likely to be a promising, safe, effective, and inexpensive drug for uterine fibroids, which has good application value and promotion prospects.

Methods: A retrospective analysis was made of patients with an ultrasound report indicating lesions in the bladder neck, for which differentiation between bladder cancer and IPP could not be determined. A total of 174 patients diagnosed with bladder cancer (n=102) or benign prostate lesion (n=72) according to the biopsy results were enrolled in the study. Hemoglobin, prostate-specific antigen (PSA), prostate volume (PV), bladder wall thickness (BWT), lesion height (LH), and the ratio of lesion width to base (LW/B) were compared between the two groups.

Results: ROC analysis revealed an AUC value >0.7 for all factors, and the best cut-off value was identified for each factor. In the multivariate analysis, by determining a score for each factor according to the ORs, the BCa-IPP scoring system was developed to provide a total score in the range of minimum 0 and maximum 15. In the ROC analysis, the AUC value was 0.954 (95% CI: 0.923–0.986) for the BCa-IPP score. The best cut-off value was found to be 10, with sensitivity of 0.93 and specificity of 0.85.

Conclusion: Using simple laboratory and ultrasound findings, the BCa-IPP scoring system was created, which was seen to have high predictive value and can be easily applied in the clinic. The BCa-IPP scoring system is a non-invasive test that can be successfully applied for the differentiation of bladder cancer from benign lesions.

Materials and Methods 123 patients with cirrhosis were retrospectively analyzed; all our patients underwent pre-contrast MRI, triphasic (arterial phase, venous phase, equilibrium phase) Gd-EOB-DTPA dynamic enhancement and hepatobiliary phase (20 minutes delayed). The relative enhancement (RE) of the patient's liver, the liver-spleen signal ratio in the hepatobiliary phase (SI liver/ spleen), the liver-vertical muscle signal ratio in the hepatobiliary phase (SI liver/ muscle), the bile duct signal intensity contrast ratio (SIR), and the radiomics features were evaluated. The support vector machine (SVM) was used as the core of machine learning to construct the liver function classification model using image and radiomics characteristics, respectively.

Results: The area under the curve was the largest in SIR to identify Child-Pugh group A versus Child-Pugh group B+C in the image characteristics, AUC = 0.740, and Perc. 10% to identify Child-Pugh group A versus Child-Pugh group B+C in the radiomics characteristics, AUC = 0.9337. The efficacy of the SVM model constructed using radiomics characteristics was better, with an area under the curve of 0.918, a sensitivity of 95.45%, a specificity of 80.00%, and an accuracy of 89.19%.

Conclusion: The image and radiomics characteristics based on Gd-EOB-DTPA-enhanced MRI can reflect liver function, and the model constructed based on radiomics characteristics combined with machine learning methods can better assess functional liver reserve.

Objective: To evaluate the accuracy of Dual-energy CT (DECT) in preoperative T-staging of CRC.

Methods: The clinical data and DECT images of 37 patients with 39 CRC lesions were retrospectively analyzed. The performance of the DECT quantitative parameters in CRC T-staging was evaluated. Postoperative pathologic results were used as a gold standard. Receiver operating characteristic curves were used to assess the diagnostic efficacy of DECT parameters. P < 0.05 was deemed significant.

Results: The overall accuracy of T-staging by DECT was 76.9%. The DECT parameters were significantly different between the T3 pericolic fat stranding, T4a pericolic fat stranding, and normal pericolic fat stranding. Arterial phase λ_HU had the best diagnostic performance with a cut-off value of ≥0.967, resulting in a 70.6% sensitivity and a 100% specificity in differentiating between T3 and T4a stages of CRC.

Conclusion: DECT has high accuracy in the T-staging of CRC. Arterial phase λHU has the best diagnostic performance in differentiating between T3 and T4a stages of CRC.

Purpose: To investigate the feasibility of muscle CT radiomics in evaluating muscle changes in diabetes.

Materials and Methods: 60 diabetics and 60 health controls (HC) were assessed with the method of muscle CT radiomics. 93 CT images of radiomics features of the pectoralis major muscle (PMM) were obtained by using the software 3D Slicer and were then compared between diabetics and HC cases. The least absolute shrinkage and selection operator (LASSO) regression method was used to establish a prediction model. The receiver operating characteristic (ROC) curve was used to determine the performance of the model.

Results: Diabetics and HC cases differed in 19 radiomics features (P<0.05). By using the LASSO method, 6 features were finally selected. The AUC of the model in the discrimination of diabetics and HC were 0.92 and 0.90, respectively, for the training cohort and validation cohort.

Conclusion: Muscle CT radiomics is feasible in evaluating muscle changes in diabetes.

Materials and Methods: Using standard T2* relaxation time measurement protocols, in-vivo and ex-vivo MRI data with water and fat nominally in phase or out of phase relative to each other were acquired on a 7 T small animal scanner. Based on a total of 24 different echo times, PDFF maps were calculated in a magnitude-based approach. After identification of the decisive error-prone variables, pixel-wise error estimation was performed by simple propagation of uncertainty. The method was then used to evaluate PDFF data acquired for an explanted mouse liver and an in vivo mouse liver measurement.

Results: The determined error maps helped excluding measurement errors as cause of unexpected local PDFF variations in the explanted liver. For in vivo measurements, severe error maps gave rise to doubts in the acquired PDFF maps and triggered an in-depth analysis of possible causes, yielding abdominal movement or bladder filling as in vivo occurring reasons for the increased errors.

Conclusion: The combination of pixel-wise acquisition of PDFF data and the corresponding error maps allows for a more specific, spatially resolved evaluation of the PDFF value reliability.

Objective: This study aims to present a detailed review and investigation of schemes considered in medical clinics to identify the AFLD/NFLD coupled problems and present the merit of the Transient Elastography (TE) combined with Fibroscan® practice to identify liver abnormality.

Methods: This research aims to study the clinical significance and the accuracy of TE-supported liver illness screening.

Results: This work aims to collect the recent research works and clinical reports published from 2011 to 2021 from the chosen databases and provide a detailed review using the clinical information discussed in the selected articles.

Conclusion: The essential statistical investigation of the collected data is executed with Review Manager (RevMan®) software, and the significance of the TE is confirmed using the articles supporting a 2x2 contingency table, and each case is evaluated using a p-score and the Region of Convergence (RoC) curve for 95% confidence intervals.

Objective: This study investigated the discriminatory power of the stretched-exponential model and fractional-order calculus model parameters for hepatocellular carcinoma versus intrahepatic cholangiocarcinoma in orthotopic xenograft nude mice.

Methods: Prototype orthotopic xenograft models of hepatocellular carcinoma and intrahepatic cholangiocarcinoma were developed using 20 nude mice divided into two groups and separately transplanted with MHCC97H and HUCCT1 cells. Readout-segmented diffusion-weighted imaging with multiple b-values (0-2000 s/mm²) was obtained using a 3.0-T magnetic resonance imaging scanner. The apparent diffusion coefficient was calculated using the mono-exponential model. The distributed diffusion coefficient and intravoxel water molecular diffusion heterogeneity (α) were calculated using the stretched-exponential model. The diffusion coefficient (D), fractional-order derivative in space (β), and spatial parameter (μ) were calculated using the fractional-order calculus model. The liver and tumor specimens of nude mice were immunostained after euthanasia to clarify the liver cancer type. Differences in diffusion-related parameters between the groups were evaluated using Mann-Whitney U-test and univariate logistic analysis. Receiver operating characteristic curves were used to assess the diagnostic efficacy of each parameter. P<0.05 was deemed significant.

Results: α, D, and β were significant discriminators between the groups. The area under the curve for these three variables was 0.890, 0.830, and 0.870, respectively, with cutoff values of 0.491, 0.435, and 0.782, respectively.

Conclusion: The stretched-exponential model parameters α and the fractional-order calculus model parameters D and β showed high diagnostic efficacy in discriminating intrahepatic cholangiocarcinoma from hepatocellular carcinoma in orthotopic xenograft nude mouse models.

Case Presentation: This paper reported a case of FDCS with pelvic recurrence 3 years after surgery. The patient was suspected to have lymphoma by postoperative pathology in the local hospital, and it is recommended that the patient be reexamined regularly. A soft tissue mass was recently found again in the left pelvic cavity. After an enhanced CT examination, the radiologist was skeptical of the previous diagnosis of lymphoma. Subsequently, a needle biopsy was performed at Peking University Shougang Hospital. The pathological results rejected the prior diagnosis of lymphoma after consultation with additional hospitals, and the patient was diagnosed with FDCS.

Conclusions: The imaging manifestations of FDCS lack absolute specificity, but it also has imaging characteristics, such as large areas of necrosis in the huge mass, rough mass calcification in the mass, enhanced scan showed “fast in and slow out” mode, and there were blood vessels in the tumor. FDCS mainly occurs in lymph nodes and is easily misdiagnosed as GIST, inflammatory myoblastoma, lymphoma, etc. Radiologists should continue to collect cases of this disease and include suspected cases in the differential diagnosis in clinical work.

Objective: We aimed to evaluate benign, borderline, and malignant epithelial ovarian tumors using MRI features and contributed to the preoperative evaluation.

Methods: MRIs of 81 patients (20 bilateral), including 31 benign, 27 borderline, and 23 malignant, who had pelvic imaging between 2013-2020, were evaluated retrospectively. The evaluation was made blindly to the pathology result by two radiologists with MRI scoring and features that we determined. MRI evaluation was performed with T1 TSE, T2 TSE, fat-suppressed T2 TSE, and before and after contrast T1 fat-suppressed and non-fat-suppressed TSE images. The numbers and findings obtained in scoring were evaluated by Chi-Square, ordinal logistic regression, and 2 and 3 category ROC analysis.

Results: The total score varied between 7 and 24. Among the three groups, a significant difference was found in terms of T1, T2 signal intensity (p <0.01), size (p = 0.055), solid area (p <0.001), septa number (p <0.05), ovarian parenchyma (p = 0.001), ascites (p <0.001), peritoneal involvement (p <0.001), laterality (p <0.001), contrast enhancement pattern (p <0.001). On the other hand, no significant difference was found in terms of wall thickness, lymph node involvement and endometrial thickness (p> 0.05). Cut-off values were found as 11.5 and 18.5 in the 3-category ROC analysis performed for the score (VUS: 0.8109). Patients with a score below 11.5 were classified as benign, those between 11.5-18.5 as borderline, and those over 18.5 as malignant.

Conclusion: The differentiation of borderline tumors from benign and malignant tumors by MRI scoring will contribute to the preoperative diagnosis.

Methods: We searched the literature for studies on Google Scholar and PubMed using the keywords “Segmentation,” “Classification,” “medical image,” and “generative adversarial network.” Specifically, the initial search revealed 5423 publications after the removal of duplicated and non-accessible fulltext publications. Then, after the title and abstract screening, 680 underwent full-text screening. Finally, 121 studies were included in our final analysis after full-text screening.

Results: The date range of the studies covered in this review is from January 1, 2017, to the present. After a thorough screening and qualification assessment, 121 studies involving GAN-based applications in seven areas of medical images were included in the final methodological review. These areas included synthesis, classification, segmentation, conversion, reconstruction, denoising, and lesion detection. We further classified and summarized these papers into clinical applications, classification methods, and imaging modalities.

Conclusion: We thoroughly examined the latest research progress of GAN-based medical image augmentation. These techniques effectively alleviate the challenge of limited training samples for medical image diagnosis and treatment models. Furthermore, several critical issues associated with GANs, such as pattern collapse, instability, and lack of interpretability, require attention in future research.

Objectives: In this paper, the SWE was used to quantitatively determine the tissue hardness of the internal and external orifice of the cervix (IOC & EOC) and to relatively objectively analyze the impact of different production methods on the hardness of the cervical tissue.

Methods: A total of 48 patients were selected, and they were divided into three groups according to different production methods: control group (16 cases), cesarean section group (16 cases), and spontaneous delivery group (16 cases). Artificial intelligence has also been incorporated into this work. A deep flexible neural tree model and a new set of FNT models were proposed to assist in classifying cervical physical data in different states. The physical data was extracted as the features, and the different states were considered as category labels.

Results: There was no statistically significant difference in the elasticity of the IOC and the EOC between the groups. However, the difference in the elasticity of the IOC and the EOC within each group was statistically significant. The classification results corresponded with the results of the statistical analysis. The hardness of the EOC is generally lower than that of the IOC, and there was no significant difference in hardness between the IOC and the EOC in the three groups.

Conclusion: There is no significant difference in the cervical elasticity hardness between different delivery modes.

Objective: This study aimed to investigate the impact of ⁶⁸Ga-PSMA PET/CT on overall survival (OS) and management in PCa.

Methods: Consecutive 100 patients who had ⁶⁸Ga-PSMA PET/CT and conventional imaging (CI) were included in this retrospective study. Disease stages and treatment plans according to both CI and ⁶⁸Ga-PSMA PET/CT were compared. The effect of ⁶⁸Ga-PSMA PET/CT on OS was assessed.

Results: After ⁶⁸Ga-PSMA PET/CT, the stage changed in 64 patients (64%). By the reason of ⁶⁸Ga-PSMA PET/CT findings, treatment plans based on CI were changed in 73 patients (73%). According to the ROC analysis, patients with a PSA value below 8 had higher rates of change in staging (p<0.0001) and treatment (p=0.034). Both a PSA below 8 (OR 8.79 95% CI (2.72-28.43), p<0.001), and having a hormone-sensitive disease at the time of imaging (OR 5.6 95% CI (1.35-23.08), p=0.017) were significant independent factors predicting change in staging with ⁶⁸Ga-PSMA PET/CT. The results of a phi correlation coefficient analysis showed a significant relationship between therapy and changes in staging (Φ=0.638, p<0.0001). Two-year OS was statistically different in hormone-sensitive patients with and without treatment change (95% vs 81%, p=0.006).

Conclusion: ⁶⁸Ga-PSMA PET/CT has the effect of changing the treatment in 73% of PCa patients. There is a positive correlation between the changes in staging and treatment. Survival of hormone sensitive patients has improved due to treatment changes based on PET/CT findings.

Materials and Methods: This was a retrospective cohort study. Patients were divided into two groups according to the stage of cervical cancer. The mean term of pregnancy at the time of the diagnosis was the early second trimester (range 10-27 weeks) and the median age was 33 years (range 26-40 years). The abdominal and pelvic MRI images and clinical data of these patients were reviewed. Tumor size, local tumor spread, and nodal involvement were evaluated using an MRI dataset. The treatment and follow-up imaging were analyzed as well, and the ADC was measured before and after the chemotherapy.

Results: 16 patients with histopathologically confirmed cervical cancer during pregnancy were retrospectively enrolled. 7 patients were diagnosed with local cervical cancer (FIGO stage IAI) and designated as early stage group, as the lesion was invisible on MRI. In this group, pregnancies were allowed to continue until cesarean delivery (CD) at 38-41 weeks. The other 9 patients presenting with local or extensive cervical cancer (FIGO stage IB2-IIA2) were designated as the advanced-stage group. The lesion could be measured and analyzed on MRI. They were treated with neoadjuvant chemotherapy in pregnancy. Among them, 6 patients underwent TP regimen (paclitaxel 135~175 mg/m2 plus cisplatin 70~75 mg/m2), while 3 patients received TC regimen (paclitaxel 135~175 mg/m2 plus carboplatin AUC=5). NACT was performed for 1 to 2 courses before surgery. ADC demonstrated significant differences before and after chemotherapy administered during pregnancy (1.06 ± 0.12 sec/mm2 vs. 1.34 ± 0.21 sec/mm2).

Conclusion: MRI has been found to be helpful in staging cervical cancer in pregnancy. Patients with stage IA confirmed by MRI can choose conservative treatment and continue the pregnancy until term birth. MRI can dynamically monitor the efficacy of chemotherapy for patients with stage IB and above during pregnancy. ADC value can have a potential role in the evaluation of chemotherapy efficacy.

Objective: To assess the role of Diffusion-weighted Imaging (DWI) in evaluating the immediate therapeutic response of HIFU treatment for uterine fibroids in comparison with CE.

Methods: 68 patients with 74 uterine fibroids receiving HIFU treatment were enrolled, and immediate treatment response was assessed using post-surgical DWI images. Semi-quantitative ordinal ablation quality grading and quantitative nonperfusion volume (NPV) measurement based on DWI and CE imaging were determined by two experienced radiologists. Agreement of ablation quality grading between DWI and CE was assessed using the weighted kappa coefficient, while intraobserver, interobserver and interprotocol agreements of NPV measurements within and between DWI and CE were evaluated using the intraclass correlation (ICC) and Bland-Altman analysis.

Results: Grading of immediate HIFU treatment response showed a moderate agreement between DWI and CE (weighted kappa = 0.446, p < 0.001). NPV measured in 65 fibroids with DWI of Grade 3~5 showed very high ICCs for the intraobserver and interobserver agreement within DWI and CE (all ICC > 0.980, p < 0.001) and also for the interprotocol agreement between DWI and CE (ICC = 0.976, p < 0.001).

Conclusion: DWI could provide satisfactory ablation quality grading, and reliable NPV quantification results to assess immediate therapeutic responses of HIFU treatment for uterine fibroids in most cases, which suggests that non-contrast enhanced DWI might be potentially used as a more costeffective and convenient method in a large proportion of patients for this task replacing CE imaging.

Patients and Methods: Records of 308 patients who had undergone radical prostatectomy (RP) were identified. Tumor levels in the prostate were categorized as apex, mid-gland, and base, after which the correlation between TCL measured using MRI and microscopic EPE on pathologic specimens was evaluated. Univariable and multivariable logistic regression analyses were performed to assess the association among tumor origin, index tumor diameter, and TCL measured using MRI and microscopic EPE in RP specimens.

Results: Among the 214 patients included, 45 apical cancers (21%), 87 mid-gland cancers (41%), and 82 base cancers (38%) were observed. Pathological reports revealed that 18 (40.0%) apex, 31 (35.6%) mid-gland, and 50 (61.0%) base tumors were pT3a. Multivariable analysis demonstrated that the zonal level of the tumor, especially the base level, was an independent predictive factor for EPE (P < 0.001), and the AUC value of the base tumor was 0.858.

Conclusion: Prostate cancers arising from the base were more likely to exhibit EPE than those arising from the mid-gland and apex of the prostate gland. Therefore, identifying the origin of the zonal level of prostate cancer may help guide treatment decisions and predict clinical prognosis.

Objective: The study aimed to introduce the application of Raman spectroscopy to tumor detection. We have introduced the current mainstream Raman spectroscopy technology and related application research.

Methods: This article has first introduced the grim situation of malignant tumors in the world. The advantages of tumor diagnosis based on Raman spectroscopy have also been analyzed. Secondly, various Raman spectroscopy techniques applied in the medical field are introduced. Several studies on the application of Raman spectroscopy to tumors in different parts of the human body are discussed. Then the advantages of combining deep learning with Raman spectroscopy in the diagnosis of tumors are discussed. Finally, the related problems of tumor diagnosis methods based on Raman spectroscopy are pointed out. This may provide useful clues for future work.

Conclusion: Raman spectroscopy can be an effective method for diagnosing tumors. Moreover, Raman spectroscopy diagnosis combined with deep learning can provide more convenient and accurate detection results.

Methods: The clinical accuracy of medical issues is compromised because innumerable classical fusion methods struggle to conserve all the prominent features of the original images. Furthermore, complex implementation, high computation time, and more memory requirements are key problems of transform domain methods. With the purpose of solving these problems, this research suggests a fusion framework for multimodal medical images that makes use of a multi-scale edge-preserving filter and visual saliency detection. The source images are decomposed using a two-scale edge-preserving filter into base and detail layers. Base layers are combined using the addition fusion rule, while detail layers are fused using weight maps constructed using the maximum symmetric surround saliency detection algorithm.

Results: The resultant image constructed by the presumed method has improved objective evaluation metrics than other classical methods, as well as unhindered edge contour, more global contrast, and no ringing effect or artifacts.

Conclusion: The methodology offers a dominant and symbiotic arsenal of clinical symptomatic, therapeutic, and biomedical research competencies that have the prospective to considerably strengthen medical practice and biological understanding.

Objective: This study aims to evaluate the efficacy of colour Doppler ultrasound and two-dimensional ultrasound of monitoring patients with cervical cancer.

Methods: Colour Doppler ultrasound (Experimental group) and two-dimensional ultrasound (Control group) are used to monitor cervical cancer and assess the treatment effects. PFS, CI, HR, DCR, ORR, PR, SD, PD, ROD, sensitivity, and specificity, accuracy between the two groups were collected and analyzed.

Results: A total of 50 patients are included in this study, and the results show that PFS (Experimental group (EG) 5.8±2.2 versus Control group (CG) 6.1±2.6), CI (EG 20% versus CG 16%), HR (EG0.31±0.18 versus CG 0.36±0.21), DCR (EG 80% versus CG 84%), ORR(EG 28% versus CG 36%), PR (EG 16% versus CG 20%), SD (EG 48% versus CG 56%), PD (EG 12% versus CG 16%) (EG 12% versus CG 16%), ROD(EG 44% versus CG 52%) between the two groups are >0.05, and the values of sensitivity (EG 75.6% versus CG 40.2%), specificity (EG 78.4% versus CG 43.3%), and accuracy(EG 80.5% versus CG 41.4%) between the two groups are<0.05.

Conclusion: Both Colour Doppler ultrasound and two-dimensional ultrasound are effective methods to evaluate the efficacy of concurrent chemo-radiotherapy in patients with cervical cancer.

Methods: Dose length product total (tDLPs), volumetric CT dose index (CTDI_vol), size-specific dose estimate (SSDE), effective dose (E), and scan acquisition parameters for a total of 216 adult patients, who underwent an enhanced CT abdomen and pelvis exams over a one-year period, were obtained and retrospectively analyzed. Spearman coefficient and one-way ANOVA tests were used to check significant differences between dose metrics and the different CT protocols.

Results: The data exhibited 9 different CT protocols to acquire an enhanced CT abdomen and pelvis exam at our institute. Out of these, 4 were found more common, i.e., CT protocols were acquired for a minimum of 10 cases. Triphasic liver demonstrated the highest mean and median tDLPs across all 4 CT protocols. Triphasic liver protocol registered the highest E followed by gastric sleeve protocol with a mean of 28.7 and 24.7 mSv, respectively. Significant differences (p < 0.0001) were found between the tDLPs of anatomical location and the CT protocol.

Conclusion: Evidently, wide variability exists across CT dose indices and patient dose metrics relying on anatomical-based dose baseline, i.e., DRLs. Patient dose optimizations require establishing dose baselines based on CT protocols rather than the anatomical location.

Objectives: To determine whether DLIR can provide better image quality and reduce radiation dose in contrast-enhanced abdominal CT compared with the second generation of adaptive statistical iterative reconstruction (ASiR-V).

Aims: This study aims to determine whether deep-learning image reconstruction (DLIR) can improve image quality.

Methods: In this retrospective study, a total of 102 patients were included, who underwent abdominal CT using a DLIR-equipped 256-row scanner and routine CT of the same protocol on the same vendor's 64-row scanner within four months. The CT data from the 256-row scanner were reconstructed into ASiR-V with three blending levels (AV30, AV60, and AV100), and DLIR images with three strength levels (DLIR-L, DLIR-M, and DLIR-H). The routine CT data were reconstructed into AV30, AV60, and AV100. The contrast-to-noise ratio (CNR) of the liver, overall image quality, subjective noise, lesion conspicuity, and plasticity in the portal venous phase (PVP) of ASiR-V from both scanners and DLIR were compared.

Results: The mean effective radiation dose of PVP of the 256-row scanner was significantly lower than that of the routine CT (6.3±2.0 mSv vs. 2.4±0.6 mSv; p< 0.001). The mean CNR, image quality, subjective noise, and lesion conspicuity of ASiR-V images of the 256-row scanner were significantly lower than those of ASiR-V images at the same blending factor of routine CT, but significantly improved with DLIR algorithms. DLIR-H showed higher CNR, better image quality, and subjective noise than AV30 from routine CT, whereas plasticity was significantly better for AV30.

Conclusion: DLIR can be used for improving image quality and reducing radiation dose in abdominal CT, compared with ASIR-V.

Objective: To investigate and perform qualitative and quantitative assessment of thigh muscle using MRI. The objective of the work is to improve the existing VAG signal classification method to diagnose abnormality using MRI for patients undergoing Total knee replacement (TKR).

Methods: A deep learning method for qualitative and quantitative assessment of thigh muscle is done using MRI. In existing prosthetic devices, electrical measurements of a person’s muscles are obtained using surface or implantable electrodes. Several methods were used for the classification and diagnostic processes. The existing methods have drawbacks in feature extraction and require experts to design the system. This work combines medical image processing and orthopaedic prosthetics to develop a therapeutic method.

Results & Discussion: This design provides much more precise control of prosthetic limbs using the image processing technique. The hybrid CNN swarm-based method measures the muscle structure and functions. Along with the sensor readings, these details are combined for prosthetic control. The implementation was carried out in MATLAB, Sketchuppro, and Arduino IDE.

Conclusion: A combined swarm intelligence and deep learning method were proposed for qualitative and quantitative assessment of thigh muscle. The prosthetic device choice was done from the scanned MRI image like Humerus-T prosthetics, segmental prosthesis and arthrodesis prosthesis. The investigation was done for the Total knee replacement (TKR) approach.

Methods: 216 cases of CT images treated at our center between 2017 and 2020 were included as a sample, which were divided into two cohorts, including 152 cases and 64 cases, respectively. Para-aortic lymph node, common iliac, external iliac, internal iliac, obturator, presacral, and groin nodal regions were delineated as sub-CTV manually in the cohort including 152 cases. Then, the 152 cases were randomly divided into training (96 cases), validation (36 cases), and test (20 cases) groups for the training process. Each structure was individually trained and optimized through a deep learning model. An additional 64 cases with 6 different clinical conditions were taken as examples to verify the feasibility of CTV generation based on our model. Dice similarity coefficient (DSC) and Hausdorff distance (HD) metrics were both used for quantitative evaluation.

Results: Comparing auto-segmentation results to ground truth, the mean DSC value/HD was 0.838/7.7mm, 0.853/4.7mm, 0.855/4.7mm, 0.844/4.7mm, 0.784/5.2mm, 0.826/4.8mm and 0.874/4.8mm for CTV_PAN, CTV_common iliac, CTV_internal iliac, CTV_external iliac, CTV_obturator, CTV_presacral, and CTV_groin, respectively. The similarity comparison results of six different clinical situations were 0.877/4.4mm, 0.879/4.6mm, 0.881/4.2mm, 0.882/4.3mm, 0.872/6.0mm, and 0.875/4.9mm for DSC value/HD, respectively.

Conclusion: We have developed a deep learning-based approach to segmenting lymph node sub-regions automatically and assembling high-quality CTVs according to clinical needs in cervical cancer radiotherapy. This work can increase the efficiency of the process of cervical cancer detection and treatment.

Objective: To automatically diagnose bone metastasis with bone scintigraphy, in this work, we proposed to cast the bone metastasis diagnosis problem into automated image classification by developing a deep learning-based automated classification model.

Methods: A self-defined convolutional neural network consisting of a feature extraction sub-network and feature classification sub-network was proposed to automatically detect lung cancer bone metastasis, with a feature extraction sub-network extracting hierarchal features from SPECT bone scintigrams and feature classification sub-network classifying high-level features into two categories (i.e., images with metastasis and without metastasis).

Results: Using clinical data of SPECT bone scintigrams, the proposed model was evaluated to examine its detection accuracy. The best performance was achieved if the two images (i.e., anterior and posterior scans) acquired from each patient were fused using pixel-wise addition operation on the bladder-excluded images, obtaining the best scores of 0.8038, 0.8051, 0.8039, 0.8039, 0.8036, and 0.8489 for accuracy, precision, recall, specificity, F-1 score, and AUC value, respectively.

Conclusion: The proposed two-class classification network can predict whether an image contains lung cancer bone metastasis with the best performance as compared to existing classical deep learning models. The high accumulation of ^99mTc MDP in the urinary bladder has a negative impact on automated diagnosis of bone metastasis. It is recommended to remove the urinary bladder before automated analysis.

Objective: This paper covers the general roadmap of the bioprinting process, different kinds of bioinks, and available bioprinters. The paper also includes designing the anatomical structure, which is the first phase of the bioprinting process, and how AI has facilitated this entire process of 3D printing in healthcare and associated applications like medical modelling and disease modelling.

Methods: The process of 3D bioprinting involves meticulous structure designing of the anatomical structure under study, which forms the base of the entire bioprinting process. One of the significant applications of 3D printing in healthcare is Medical Modelling and Disease Modelling, which requires the detection of disease in anatomy and its delineation from the rest of anatomy for meticulous creation of ROI using sophisticated segmentation software(s) for the construction of 3D models of diseased anatomy and healthy anatomical surroundings.

Conclusion: The study concluded that bioprinting is the future of the worldwide organ transplantation crisis. Anatomical accuracy is an important aspect that must be considered while producing 3D models. The reproduction of patient-specific 3D models requires human rights and ethics approval under four principles of ethics in healthcare: autonomy, non-maleficence, beneficence, and justice.

Objective: The aim of the current investigation was to find novel 2-chloroquinoline-3-carboxamide derivatives that target the Ephrin B4 (EPHB4) receptor to treat cancer.

Materials and Methods: Chem Axon Marvin Sketch 5.11.5 was used to create derivatives of 2-chloroquinoline-3-carboxamide. The physicochemical characteristics of compounds as well as their toxicity were predicted using SwissADME& the admet SAR online software’s. Molecular docking technology was used to examine the ligand-receptor interactions of 2-chloroquinoline-3-carboxamide derivatives with the target receptor (PDB- 6FNM) using a variety of software’s, including Autodock1.1.2,Procheck, ProtParam tool, Biovia Discovery Studio Visualizer v20.1.0.19295, MGL Tools 1.5.6, PyMOL, and were all included.

Results: All developed compounds were determined to be orally bioavailable, less toxic, and have acceptable pharmacokinetic properties according to in silico studies. In comparison to the traditional medication Erdafitnib, all new compounds displayed higher docking scores.

Conclusion: The increase in binding energy and the number of H-bonds created by novel derivatives with interactions at distances below 3.40A provide a helpful starting point for formulating and synthesizing compounds that are most suitable for additional research. The application of the 2- chloroquinoline-3-carboxamide moiety as a potential new cancer treatment candidate is supported by its pharmacokinetics &toxicological profile, which may aid medicinal chemists in conducting more in-depth in vitro, in vivo chemical and pharmacological studies.

We report a case of a large bladder leiomyoma in an asymptomatic patient. A large pelvic mass was discovered incidentally on the bedside ultrasound scan during a review at the gynecology clinic. Intra-operatively, no mass was seen in the pelvis, and cystoscopy demonstrated an intravesical mass. It was further evaluated with cystoscopy. MR imaging demonstrated typical features of a bladder leiomyoma. Subsequently, the patient underwent partial cystectomy, and the mass was removed, which was histologically proven leiomyoma.

Conclusion: Awareness of this rare clinical entity and identification of its typical radiological features on MR imaging can aid with accurate diagnosis and preclude unnecessary radical surgery.

Methods: A partial taxonomy of the GBM problems tackled with ML methods was formulated with 15 subcategories grouped into four categories: extraction of characteristics from tumoral regions, differentiation, characterization, and problems based on genetics.

Results: The dominant techniques in solving these problems are: Radiomics for feature extraction, Least Absolute Shrinkage and Selection Operator for feature selection, Support Vector Machines and Random Forest for classification, and Convolutional Neural Networks for characterization. A noticeable trend is that the application of Deep Learning on GBM problems is growing exponentially. The main limitations of ML methods are their interpretability and generalization.

Conclusion: The diagnosis, treatment, and characterization of GBM have advanced with the aid of ML methods and MRI data, and this improvement is expected to continue. ML methods are effective in solving GBM-related problems with different precisions, Overall Survival being the hardest problem to solve with accuracies ranging from 57%-71%, and GBM differentiation the one with the highest accuracy ranging from 80%-97%.

Methods: As a solution to this unmet medical need, we aimed to develop a decision support system based on artificial intelligence, which automatically segments the prostate and any suspect area from the 3D MRI images.

We assessed retrospective data from all patients diagnosed with PCa by MRI-US fusion prostate biopsy, who underwent prostate MRI in our department due to a clinical or biochemical suspicion of PCa (n=33). All examinations were performed using a 1.5 Tesla MRI scanner. All images were reviewed by two radiologists, who performed manual segmentation of the prostate and all lesions. A total of 145 augmented datasets were generated. The performance of our fully automated end-to-end segmentation model based on a 3D UNet architecture and trained in two learning scenarios (on 14 or 28 patient datasets) was evaluated by two loss functions.

Results: Our model had an accuracy of over 90% for automatic segmentation of prostate and PCa nodules, as compared to manual segmentation. We have shown low complexity networks, UNet architecture with less than five layers, as feasible and to show good performance for automatic 3D MRI image segmentation. A larger training dataset could further improve the results.

Conclusion: Therefore, herein, we propose a less complex network, a slim 3D UNet with superior performance, being faster than the original five-layer UNet architecture.

Methods: A total of 19 patients who underwent preoperative spectral CT dual-phase enhancement and who were diagnosed with HCC by postoperative pathology were prospectively selected. Patients with ≥10% Ki67-positive tumor cells formed a high-Ki67 group, and those with <10% Ki67- positive cells formed a low-Ki67 group. The iodine concentrations (ICs) of the lesion and the descending aorta were measured during the arterial and venous phases. Relative iodine concentration (RIC) was calculated thus: RIC=IC_lesion/IC_{descending aorta}. CT values of the lesions at 40 and 70 keV were measured during the enhanced arterial and venous phases. The slope of the spectral curve (λ) was calculated thus: λ = (40 keV-70 keV) /(70-30). To compare the differences in quantitative parameters between the high- and low-Ki67 groups, either an independent samples t-test (normal distribution) or a Mann–Whitney U test (non-normal distribution) was used. Receiver operating characteristic curves were used to evaluate the effectiveness of spectral CT parameters in distinguishing between high-Ki67 and low-Ki67 groups. Pearson correlation analysis was used to evaluate the correlation between spectral CT quantitative parameters and Ki67 expression.

Results: IC, RIC and λ values for the high-Ki67 group in arterial and venous phases were higher than those for the low-Ki67 group, P < 0.05. IC, RIC, and λ values in the arterial phase were 0.83, 0.89, and 0.75, respectively; in the venous phase, the values of these three parameters were 0.76, 0.77, and 0.69, respectively. IC, RIC, and λ were positively correlated with Ki67 expression in both arterial and venous phases, with a highest correlation of 0.82 for arterial-phase RIC.

Conclusion: The quantitative parameters of spectral CT in HCC were correlated with Ki67 expression. This finding may make it easier for clinicians to determine whether a tumor is high or low in Ki67 before surgery.

Objective This study aimed to overcome the problem related to identifying kidney stone composition; we need an accurate method to analyze the composition of kidney stones.

Methods In this paper, we proposed the automatic kidney stone composition analysis algorithm based on a dual-energy CT image. The algorithm first segmented the kidney stone mask by deep learning model, then analyzed the composition of each stone by machine learning model.

Results The experimental results indicate that the proposed algorithm can segment kidney stones accurately (AUC=0.96) and predict kidney stone composition accurately (mean Acc=0.86, mean Se=0.75, mean Sp=0.9, mean F1=0.75, mean AUC=0.83, MR (Exact match ratio)=0.6).

Conclusion The proposed method can predict the composition and location of kidney stones, which can guide its treatment.

Experimental results show that the weighting strategy can improve kidney stone segmentation performance. In addition, the multi-label classification model can predict kidney stone composition precisely, including the mixed composition kidney stones.

Methods: A total of 78 patients were included in this study. T2 weighted imaging (T2WI), conventional diffusion-weighted imaging (DWI) (1000 s/mm²), and DWI with ultrahigh b-values of 2000 s/mm² and 3000 s/mm² were performed in each patient. With reference biopsy as the gold standard, the apparent diffusion coefficient (ADC)s of each b-value DWI image were analyzed. According to different b-value receiver operating characteristic (ROC) curves, the ADC diagnostic cutoff point for prostate cancer was determined.

Results: A total of 154 lesions were identified as prostate cancer. The ADC values for conventional DWI and ultrahigh b-value DWI with 2000 s/mm² and 3000 s/mm² were 1.097×10^-3 mm²/s (1.040-1.153), 0.809×10^-3 mm²/s (0.766-0.851) and 0.622×10^-3 mm²/s (0.591-0.652), respectively, in the peripheral zone and 1.085×10^-3 mm²/s (1.022-1.147), 0.815×10^-3 mm²/s (0.770-0.861) and 0.651×10^-3 mm²/s (0.617-0.685) in the transition zone. The area under the curve (AUC)s of the ADC values from ultrahigh b-value DWI (2000 s/mm² and 3000 s/mm²) were 0.824 and 0.852 in the peripheral zone and 0.905 for the ADC values from ultrahigh b-value DWI (3000 s/mm²) in the transition zone. In the peripheral zone, the ADC diagnostic cutoff values for prostate cancer were 0.75×10^-3 mm²/s and 0.685×10^-3 mm²/s in DWI at 2000 s/mm² and 3000 s/mm², respectively, and the diagnosis of transition zone cancer was 0.8×10^-3 mm²/s and 0.634×10^-3 mm²/s, respectively.

Conclusion: The ADC values from ultrahigh b-value DWI demonstrated better consistency and diagnostic efficacy in the diagnosis of prostate cancer.

Morphology : They contain a solid matrix at room temperature and are thought to be superior to many other conventional lipids-based nanocarriers, such as solid lipid nanoparticles (SLNs), nanoemulsions, and liposomes because of their improved stability, drug loading capacity, good biocompatibility, enhanced permeability, bioavailability, extended half-life, fewer side effects, tissue- specific delivery and wide range of potential applications.

Significance : NLCs have multiple applications in the manufacturing of pharmaceuticals and cosmetics due to their ease of preparation, the feasibility of scale-up, non-toxic, improved targeting efficiency and potential for site-specific delivery via various routes of administration.

Scope of Review: This review enlightens about the most recent developments of NLCs as a drug delivery system, types of NLCs, current techniques to prepare NLCs, and characterization techniques that are essential for the development of safe, effective and stable formulation. It also encompasses the potential of using NLCs for various administration routes and recent developments in pharmaceutical applications with successful outcomes.

Conclusion: This review certainly provide great insight into formulation considerations using design experts and modification strategies for improved targeting. On the whole, NLCs are broadly explored and preferred lipid nanocarrier systems with several advantages.

Method: An introduction to the epidemiology of UTIs and detailed herbal nanoformulation treatment approach through novel intravaginal route is intended through this narrative review. UTIs are associated with significant morbidity and mortality, and they affect the quality of life of the affected patients. Multidrug-resistant bacteria and recurrent UTIs are becoming more common. Development of resistance, adverse effects of antibiotics, and other associated problems lead to establishing the research framework to find out the alternative approaches in controlling UTIs. Antibiotic- free treatments for uncomplicated urinary tract infections UTIs should be used, saving drugs for severe infections. Herbal medication might be used instead of antibiotics for uncomplicated UTIs, in addition to analgesics for purely symptomatic treatment.

Conclusion: This review identifies the pathophysiology of UTI, distinguish the intravaginal route as an alternative to oral delivery route, summarizes the management of urinary tract infections and highlights the anti-uropathogenic and anti-bactericidal effects of herbal approaches to prevent or treat urinary tract infections.

Purpose: This study aims to establish a prognostic prediction model for bladder cancer, with the primary goal of accurately predicting prognosis and treatment outcomes.

Methods: We collected datasets from 10 bladder cancer datasets sourced from the Gene Expression Omnibus (GEO), the Cancer Genome Atlas (TCGA) databases, and IMvigor210 dataset. The machine learning based on feature selection algorithms were used to generate 96 models for establishing the risk score for each patient. Based on the risk score, all the patients were classified into two different risk score groups.

Results: The two groups of bladder cancer patients exhibited significant differences in prognosis, biological functions, and drug sensitivity. Nomogram model demonstrated that the risk score had a robust predictive effect with good clinical utility.

Conclusion: The risk score constructed in this study can be utilized to predict the prognosis, response to drug treatment, and immunotherapy of bladder cancer patients, providing assistance for personalized clinical treatment of bladder cancer.

Objective: Epirubicin delivery to gastric cancer cells using mesenchymal stem cells.

Methods: In vitro transwell migration assays, live cell tracking, and in vivo targeting assays were used to demonstrate the chemotaxis of mesenchymal stem cells towards gastric cancer. We verified the targeted chemotaxis of mesenchymal stem cells towards gastric cancer cells and the epirubicin loading ability using a high-content imaging system (Equipment type:Operetta CLS). Additionally, tunneling nanotube formation and the targeted release of epirubicin-loaded mesenchymal stem cells co-cultured with gastric cancer cells through mesenchymal stem cell-tunneling nanotubes into gastric cancer cells was observed using Operetta CLS.

Results: Mesenchymal stem cells demonstrated targeted chemotaxis towards gastric cancer, with effective epirubicin loading and tolerance. Co-culturing induced tunneling nanotube formation between these cells. Epirubicin-loaded mesenchymal stem cells were released into gastric cancer cells through tunneling nanotubes, significantly increasing their non-viability compared to the negative control group (p < 0.05).

Conclusions: We identified a novel approach for precisely targeting epirubicin release in gastric cancer cells. Therefore, mesenchymal stem cell-tunneling nanotubes could serve as a potential tool for targeted delivery of drugs, enhancing their chemotherapeutic effects in cancer cells.

Methods: To ensure a thorough search of the literature for relevant English studies published before July 2023, several databases were searched, including PubMed, Web of Science, ProQuest, Cochrane Library, and Google Scholar. The study evaluated the impact of lncRNA SNHG5 on the overall survival (OS) of cancer by calculating the pooled hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (CIs). To further confirm the accuracy of the findings, the study investigated the expression profile and prognostic significance of lncRNA SNHG5 through the use of GenomicScape, OncoLnc, Kaplan-Meier plotter, and GEPIA databases.

Results: In this study, 995 patients were examined across a total of fourteen original studies. The findings indicated that there was a significant relationship between heightened lncRNA SNHG5 expression and reduced OS, as evidenced by both univariate and multivariate analyses (HR = 1.89; 95% CI, 1.44-2.49; p < 0.001; HR = 3.97; 95% CI, 1.80-8.73; p < 0.001, respectively). Pooled OR analysis showed a significant association between over-expression of lncRNA SNHG5 with advanced histological grade (OR = 0.28; 95% CI, 0.11-0.71; p = 0.007), present lymph node metastasis (LNM; OR = 4.28; 95% CI, 2.47-7.43; p < 0.001), and smoking history (OR = 0.27; 95% CI, 0.15-0.49; p < 0.001). Bioinformatic databases confirmed that elevated SNHG5 expression was significantly linked to poor prognosis in cancer patients, including colorectal cancer (CRC), acute myeloid leukemia (AML), and esophageal adenocarcinoma (ESAD), and a longer OS in patients with uterine corpus endometrial carcinoma (UCEC).

Conclusion: These results suggest that lncRNA SNHG5 may serve as an adverse prognostic biomarker in several human cancers. Further investigations are needed to better understand the underlying mechanisms that link lncRNA SNHG5 to multiple malignancies.

Objective: The objective of present study was to investigate impact of organoids on colorectal cancer and their therapeutic outcome in cancer research. Organoids can be grown from stem cells in vitro, which closely resemble the structure and function of the organ they are derived from. They have been used in a variety of research applications, including disease modeling, drug screening, and personalized medicine. Organoids have allowed researchers to understand better the mechanisms underlying colorectal cancer initiation, progression, and resistance to therapy.

Methods: The literature review was surveyed, and keywords related to cancer management, organoids, modelling, personized medicine, 3D structures were screened for colorectal cancer management were screened in SCI-hub, SCOPUS, WOS, and ABC Journals.

Results: The findings of studies suggested that organoids derived from patient tumors can recapitulate the histopathology and genetic alterations of the original tumor, making them a valuable tool for personalized medicine.

Conclusion: Organoids have been used to develop high-throughput drug screening assays and investigate the tumor microenvironment's contribution to colorectal cancer progression. In this review, we summarize recent advances in the use of organoids to study colorectal cancer and discuss their potential applications in the clinic.

Methods: To investigate the role of NNAT, its expression was silenced in NSCLC cell lines A549 and H226. Subsequently, various parameters, including cell proliferation, invasion, migration, and apoptosis, were assessed. Additionally, cell-derived xenograft models were established to evaluate the effect of NNAT knockdown on tumor growth. The expression of key molecules, including cyclin D1, B-cell leukemia/lymphoma 2 (Bcl-2), p65, matrix metalloproteinase (MMP) 2, and nerve growth factor (NGF) were examined both in vitro and in vivo. Nerve fiber density within tumor tissues was analyzed using silver staining.

Results: Upon NNAT knockdown, a remarkable reduction in NSCLC cell proliferation, invasion, and migration was observed, accompanied by elevated levels of apoptosis. Furthermore, the expression of cyclin D1, Bcl-2, MMP2, and phosphorylated p65 (p-p65) showed significant downregulation. In vivo, NNAT knockdown led to substantial inhibition of tumor growth and a concurrent decrease in cyclinD1, Bcl-2, MMP2, and p-p65 expression within tumor tissues. Importantly, NNAT knockdown also led to a decrease in nerve fiber density and downregulation of NGF expression within the xenograft tumor tissues.

Conclusion: Collectively, these findings suggest that neuronatin plays a pivotal role in driving NSCLC progression, potentially through the activation of the nuclear factor-kappa B signaling cascade. Additionally, neuronatin may contribute to the modulation of tumor microenvironment innervation in NSCLC. Targeting neuronatin inhibition emerges as a promising strategy for potential anti-NSCLC therapeutic intervention.

Aims: The results are desired to provide an important theoretical basis for discovering new therapeutic targets for CRC.

Objectives: The expression of human endogenous retrovirus-H-long terminal repeat association protein 2 (HHLA2) in human CRC was detected to explore its correlationship with clinicopathological features and prognosis of patients and its potential in treating CRC.

Methods: Western blot was employed to detect HHLA2 expression in fresh tissues obtained from 6 CRC patients' excisions, including cancer, paracancer, and normal issues. Immunohistochemical staining was employed to determine HHLA2 expression in paraffin-embedded specimens of 139 patients with colorectal cancer, and its relationship with the clinicopathological profiles and survival was analyzed. Small interfering RNA (siRNA) targeting HHLA2 was used to transfect CRC cells to silent HHLA2. MTT, plate colony formation, cell scratch, and Transwell assay were conducted to observe the proliferation, migration, and invasion of CRC cells.

Results: HHLA2 protein was expressed in human colorectal cancer tissues, paracancer tissues and normal tissues, which was significantly upregulated in cancer tissues (P < 0.01). HHLA2 expression level in CRC tissues showed a close correlationship with the invasion depth of the tumor (P = 0.000), metastasis of regional lymph nodes (P = 0.018), clinical stage (P = 0.010), and patient survival (P = 0.011). Correlation with gender (P = 0.873), age (P = 0.864), location of the tumor (P = 0.768), degree of tumor differentiation (P = 0.569) and distant metastasis (P = 0.494) exhibited no significance. The survival time of CRC patients with high and low HHLA2 expression groups was 43.231 months and 55.649 months, respectively, with a statistical difference between the two groups (P = 0.001). Silencing HHLA2 inhibited proliferation, migration and invasion of CRC cells significantly.

Conclusion: HHLA2 is overexpressed in CRC tissues which is associated with poor prognosis of patients. HHLA2 might be recognized as a new candidate for adjuvant diagnosis and prognosis of CRC, as well as a promised new target for immunotherapy of CRC.

Methods: To achieve this, a comprehensive search was conducted in Persian medicine references and scientific databases to gather information on the traditional uses, chemical composition, and pharmacological effects of spinach. Studies that met the inclusion criteria were meticulously categorized, and relevant data were analyzed to draw insightful comparisons.

Results: Persian medicine describes spinach as a nutrient-rich, laxative, and fast-digesting agent with therapeutic effects on inflammation, lung diseases, back pain, sore throats, jaundice, urinary disorders, joint pain, eye inflammation, insomnia, dementia, and more. Modern studies have substantially corroborated these traditional uses, revealing that spinach possesses antioxidant, anti-inflammatory, anti-cancer, blood sugar-lowering, lipid-lowering, anti-obesity, neurological, ocular, and musculoskeletal effects.

Conclusion: Spinach exhibits a wide range of beneficial effects on various health conditions. Its widespread availability, low cost, and exceptional nutritional richness position it as a promising candidate for further investigation. Future studies should explore the clinical effectiveness of spinach in various diseases, while taking into consideration the principles emphasized in Persian medicine to guide research and inform therapeutic strategies.

Objective: The purpose of this research was to determine the risk factors for cervical cancer in women in Iran.

Methods: This was a matched case-control study. 105 participants (35 patients with cervical cancer and 70 healthy women) were selected from the registered patients and women attending a women’s specialized hospital in Hamadan, Iran. One case was matched to 2 controls by age (±3 years). Demographic and clinical data were collected using a semi-structured questionnaire. Conditional multivariate logistic regression model and STATA 11 software were used for data analysis.

Results: The mean age of women in the case and control group were 58.02(12.32) and 58.11(12.25) years (p = 0.486), respectively. Patients had lower education levels (p = 0.037), lower economic status (p˂0.001), and lower spouse education levels (p = 0.009). The results showed OCP users were 8.79 times more likely to develop cervical cancer than women who do not use OCP (p = 0.007), and the probability of cervical cancer in women increased by 8.33 times (<0.001) with decreasing each level of socio-economic status.

Conclusion: The results of the present study showed low economic status, and a history of using oral contraceptive pills are risk factors for cervical cancer.

Methods: We initially utilized pan-cancer transcriptomics to explore the expression, prognosis, and mutation status of genes related to disulfidptosis. Using the LUAD multi- -omics cohorts in the TCGA database, we explore the molecular characteristics of subtypes related to disulfidptosis. Employing various machine learning algorithms, we construct a robust prognostic model to predict immune therapy responses and explore the model's impact on the tumor microenvironment through single-cell transcriptome data. Finally, the biological functions of genes related to the prognostic model are verified through laboratory experiments.

Results: Genes related to disulfidptosis exhibit high expression and significant prognostic value in various cancers, including LUAD. Two disulfidptosis subtypes with distinct prognoses and molecular characteristics have been identified, leading to the development of a robust DSRS prognostic model, where a lower risk score correlates with a higher response rate to immunotherapy and a better patient prognosis. NAPSA, a critical gene in the risk model, was found to inhibit the proliferation and migration of LUAD cells.

Conclusion: Our research introduces an innovative prognostic risk model predicated upon disulfidptosis genes for patients afflicted with Lung Adenocarcinoma (LUAD). This model proficiently forecasts the survival rates and therapeutic outcomes for LUAD patients, thereby delineating the high-risk population with distinctive immune cell infiltration and a state of immunosuppression. Furthermore, NAPSA can inhibit the proliferation and invasion capabilities of LUAD cells, thereby identifying new molecules for clinical targeted therapy.

Objective: In this study, the effects of mesenchymal stem cells (MSCs) loaded with oncolytic Coxsackievirus A21 (CVA21) on a mouse model of CRC were investigated.

Methods: The therapeutic potency of MSCs loaded with oncolytic CVA21 were evaluated in an experimental mouse model of colorectal cancer which received an injection CT26 cells per mouse subcutaneously. Splenocyte proliferation index, lactate dehydrogenase (LDH) assay, nitric oxide (NO) production assessment, and cytokine assay (IFN-γ, IL-4, IL-10, and TGF-β) in the splenocyte supernatant were all used to evaluate the impact of MSCs loaded with CVA21.

Results: The results of this study showed that the treatment of a mouse model of colorectal cancer with MSCs loaded with oncolytic CVA21 could significantly suppress the tumor growth, which was accompanied by stimulation of splenocytes proliferation index, an increase of NO and LDH. Also, MSCs loaded with oncolytic CVA21 increased the secretion of IFN-γ and decreased the secretion of IL-4, IL-10, and TGF-β.

Conclusion: The results of the current study suggest that MSCs loaded with oncolytic CVA21 therapy for the CRC mouse model may have some potential advantages. On the other hand, the results of the study showed that, in addition to activating the acquired immune system, the use of MSCs loaded with oncolytic CVA21 also stimulates the innate immune system by increasing level of nitric oxide.

Methods: We conducted a comprehensive analysis of the expression of SLC7A11 across 33 cancer types, employing datasets from public databases. Methods, such as Cox regression and survival analyses assessed its prognostic significance, while functional enrichment explored the biological processes tied to SLC7A11. The association between SLC7A11 expression, immune cell infiltration, and immune-related gene expression was also scrutinized.

Results: Notably, SLC7A11 expression was more pronounced in cancerous compared to normal samples and correlated with higher tumor grades. Increased SLC7A11 expression was linked to poor outcomes, particularly in liver hepatocellular carcinoma (LIHC). This protein's expression also showcased significant relationships with diverse molecular and immune subtypes.

Additionally, a prognostic nomogram was devised, integrating SLC7A11 expression and clinical variables. High SLC7A11 levels corresponded with cell growth and senescence pathways in various cancers and with lipid and cholesterol metabolism in LIHC. Furthermore, potential therapeutic compounds for LIHC with high SLC7A11 were identified. Real-time PCR (qPCR) and Western blot were conducted to explore the expression of SLC7A11 in tumor tissues and cancer cell lines.

Conclusion: In summation, this study emphasizes the prognostic and immunological importance of SLC7A11, spotlighting its potential as a therapeutic target in LIHC.

Methods: Through GeneChip experiments, we obtained differentially expressed genes (DEGs) and analyzed these DEGs using the Ingenuity® Pathway Analysis (IPA®), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) pathway enrichment analyses. The Cell Counting Kit 8 (CCK8) assay was used to verify the inhibitory effect of puerarin on the proliferation of BUC T24 cells. String combined with Cytoscape® was used to create the Protein-Protein Interaction (PPI) network, and the MCC algorithm in cytoHubba plugin was used to screen key genes. Gene Set Enrichment Analysis (GSEA®) was used to verify the correlation between key genes and cell proliferation.

Results: A total of 1617 DEGs were obtained by GeneChip. Based on the DEGs, the IPA® and pathway enrichment analysis showed they were mainly enriched in cancer cell proliferation and migration. CCK8 experiments proved that puerarin inhibited the proliferation of BUC T24 cells, and its IC50 at 48 hours was 218μmol/L. Through PPI and related algorithms, 7 key genes were obtained: ITGA1, LAMA3, LAMB3, LAMA4, PAK2, DMD, and UTRN. GSEA showed that these key genes were highly correlated with BUC cell proliferation. Survival curves showed that ITGA1 upregulation was associated with poor prognosis of BUC patients.

Conclusion: Our findings support the potential antitumor activity of puerarin in BUC. To the best of our knowledge, bioinformatics investigation suggests that puerarin demonstrates anticancer mechanisms via the upregulation of ITGA1, LAMA3 and 4, LAMB3, PAK2, DMD, and UTRN, all of which are involved in the proliferation and migration of bladder urothelial cancer cells.

Methods: A novel Electrochemiluminescence (ECL) immunoassay for the quantitation of PYX- 106 in human serum was developed and validated. Biotinylated anti-PYX-106 antibody Bio-A1A1 was employed as the capture antibody, and ruthenylated anti-PYX-106 antibody Ru-A3G10 was utilized as the detection antibody in the ECL immunoassay on Meso Scale Discovery (MSD) platform.

Results: This assay was fully validated in terms of selectivity, accuracy, precision, hook effect, stability, etc., with a dynamic range from 50.0 to 2,500 ng/mL in human serum under the 2018 U.S. Food and Drug Administration (FDA) guidance and the 2022 U.S. FDA ICH M10 guidance.

Conclusion: PYX-106 bioanalytical assay validation was reported for the first time in a biological matrix, and this assay has been successfully applied to support a clinical trial PYX-106-101.

Background: Microwave synthesis has emerged as a potent tool for the more economical and environmental friendly synthesis of organic compounds, such as derivatives of imidazo[1,2- a]pyridine. Compared to traditional synthesis, microwave radiation causes molecules to be excited and distributes thermal energy evenly in a shorter amount of time.

Objective: The primary objective of the work presented in this article was to prepare imidazo[1,2- a]pyridine-furan hybrids via Groebke-Blackburn-Bienayme multicomponent reaction using PEG 400 in microwave irradiation as green approach. Characterized it and evaluated their anticancer activities.

Methods: In a sealed microwave glass vial, 5-methylfuran-2-carbaldehyde 1, 2-aminoazines 2ag, isocyanides 3a-c in presence of 20mol% acetic acid were dissolved in PEG 400 (polyethylene glycol 400) reaction solvent. The glass vial was sealed and irradiate in microwave with stirring at temperature of 75°C for 10 min. This method is an efficient alternative approach to synthesizing imidazo[1,2-a]pyridine-furan hybrids via Groebke-Blackburn-Bienayme multicomponent reaction.

Results: We have successfully synthesised the imidazo[1,2-a]pyridine-furan hybrids via Groebke-Blackburn-Bienayme multicomponent reaction using PEG 400 in microwave irradiation as green approach. The structures of the compounds were confirmed through various spectroscopic techniques and evaluated their anticancer activities.

Conclusion: The reported protocol is advantageous over conventional methods of imidazo[1,2- a]pyridine derivatives. The time required for the reaction is much less as compared to the usual requirements of reflux. Compound 4e, 4f, 4n and 4o shows the most increased activity against cell line RPMI-8226, HCT-116 and PC-3 of Leukemia, Colon cancer and Prostate cancer respectively. By using the potential of imidazo[1,2-a]pyridine-furan based compounds via sustainable green approach, more effective and accurate cancer treatments can be designed in future.

Methods: Based on the PRISMA guideline, we performed a systematic search for the identification of all relevant studies in various electronic databases up to June 2022. According to the inclusion and exclusion criteria, the obtained articles (n=59) were screened and 13 eligible articles were finally included in the present study.

Results: The findings of in-vitro experiments showed that cisplatin treatment significantly reduced the auditory cell viability in comparison with the control group; nevertheless, the alpha-lipoic acid co-administration protected the cells against the reduction of cell viability induced by cisplatin treatment. Moreover, the in-vivo results of the auditory brainstem response (ABR) and distortion product otoacoustic emission (DPOAE) tests revealed a decrease in DPOAE and an increase in ABR threshold of cisplatin-injected animals; however, it was shown that alpha-lipoic acid co-treatment had an opposite pattern on the evaluated parameters. Other findings demonstrated that cisplatin treatment could significantly induce the biochemical and histopathological alterations in inner ear cells/tissue; in contrast, alpha-lipoic acid co-treatment ameliorated the cisplatin-mediated biochemical and histological changes.

Conclusion: The findings of audiometry, biochemical parameters, and histological evaluation showed that alpha-lipoic acid co-administration alleviates the cisplatin-induced ototoxicity. The protective role of alpha-lipoic acid against the cisplatin-induced ototoxicity can be due to different mechanisms of anti-oxidant, anti-apoptotic, anti-inflammatory activities, and regulation of cell cycle progression.

Objective: The present study aims to enhance understanding of the disease mechanism and its progression by identifying prognostic biomarkers, potential drug targets, and candidate drugs that can be used for therapy in pancreatic cancer.

Methods: Gene expression profiles from the GEO database were analyzed to identify reliable prognostic markers and potential drug targets. The disease's molecular mechanism and biological pathways were studied by investigating gene ontologies, KEGG pathways, and survival analysis to understand the strong prognostic power of key DEGs. FDA-approved anti-cancer drugs were screened through cell line databases, and docking studies were performed to identify drugs with high affinity for ARNTL2 and PIK3C2A. Molecular dynamic simulations of drug targets ARNTL2 and PIK3C2A in their native state and complex with nilotinib were carried out for 100 ns to validate their therapeutic potential in PDAC.

Results: Differentially expressed genes that are crucial regulators, including SUN1, PSMG3, PIK3C2A, SCRN1, and TRIAP1, were identified. Nilotinib as a candidate drug was screened using sensitivity analysis on CCLE and GDSC pancreatic cancer cell lines. Molecular dynamics simulations revealed the underlying mechanism of the binding of nilotinib with ARNTL2 and PIK3C2A and the dynamic perturbations. It validated nilotinib as a promising drug for pancreatic cancer.

Conclusion: This study accounts for prognostic markers, drug targets, and repurposed anti-cancer drugs to highlight their usefulness for translational research on developing novel therapies. Our results revealed potential and prospective clinical applications in drug targets ARNTL2, EGFR, and PI3KC2A for pancreatic cancer therapy.

Methods: Initially, network pharmacology was employed to identify core targets and associated pathways affected by Emodin in bladder cancer. Subsequently, the expression of key targets in normal bladder tissues and BLCA tissues was assessed by searching the GEPIA and HPA databases. The binding energy between Emodin and key targets was predicted using molecular docking. Furthermore, in vitro experiments were carried out to confirm the predictions made with network pharmacology.

Results: Our analysis identified 148 common genes targeted by Emodin and BLCA, with the top ten target genes including TP53, HSP90AA1, EGFR, MYC, CASP3, CDK1, PTPN11, EGF, ESR1, and TNF. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses indicated a significant correlation between Emodin and the PI3KAKT pathway in the context of BLCA. Molecular docking investigations revealed a strong affinity between Emodin and critical target proteins. In vitro experiments demonstrated that Emodin inhibits T24 proliferation, migration, and invasion while inducing cell apoptosis. The findings also indicated that Emodin reduces both PI3K and AKT protein and mRNA expression, suggesting that Emodin may mitigate BLCA by modulating the PI3K-AKT signaling pathway.

Conclusion: This study integrates network pharmacology with in vitro experimentation to elucidate the potential mechanisms underlying the action of Emodin against BLCA. The results of this research enhance our understanding of the pharmacological mechanisms by which Emodin may be employed in treating BLCA.

Methods: In the present study, bioinformatics analysis was combined with experimental validation to explore the underlying mechanism by which CeT induces ICD and regulates PD-L1 expression in clear cell renal cell carcinoma (ccRCC).

Results: The results showed that EGFR, IKBKB, PRKCQ and MAPK1 were the crucial targets for CeT-induced ICD, and only MAPK1 was an independent prognostic factor for the overall survival (OS) of ccRCC patients. In addition, CeT triggered autophagy and up-regulated the expressions of HMGB1 and CRT to induce ICD in 786-O cells in vitro. Importantly, CeT can down-regulate PD-L1 expression through activating autophagy. At the molecular level, CeT suppressed PD-L1 via the inhibition of MAPK1 expression. Immunologically, the core target of celastrol, MAPK1, was tightly correlated with CD8+ T cells and CD4+ T cells in ccRCC.

Conclusion: These findings indicate that CeT not only induces ICD but also suppresses PD-L1 by down-regulating MAPK1 expression, which will provide an attractive strategy for ccRCC immunotherapy.

Methods: Bioinformatics analyses were employed to clarify TRIP13 expression in CRC tissues and predict the correlation of the TRIP13 enrichment pathway with glycolysis-related genes and stemness index mRNAsi. Quantitative real-time polymerase chain reaction and western blot were adopted to analyze the expression of TRIP13 and glycolysis- related genes. Cell Counting Kit-8 was utilized to determine the cell viability and IC₅₀ value. Western blot was employed to measure the expression of stemness-related factors. Cell function assays were performed to detect cells' sphere-forming ability and glycolysis level. Animal models were constructed to determine the effects of TRIP13 expression on CRC tumor growth.

Results: TRIP13 was significantly overexpressed in CRC, concentrated in the glycolysis signaling pathway, and positively correlated with stemness index mRNAsi. High expression of TRIP13 facilitated DOX resistance in CRC. Further mechanistic studies revealed that overexpression of TRIP13 could promote cell stemness through glycolysis, which was also confirmed in animal experiments.

Conclusion: TRIP13 was highly expressed in CRC, which enhanced the DOX resistance of CRC cells by activating glycolysis to promote cell stemness. These findings offer new insights into the pathogenesis of DOX resistance in CRC and suggest that TRIP13 may be a new target for reversing DOX resistance in CRC.