Search

Xiuhua Liu, Liang Gao, Shaoxin Shi, Yun Yang Department of Pathology, Xiamen Haicang Hospital, Xiamen, Fujian, 361000, People’s Republic of ChinaCorrespondence: Xiuhua LiuDepartment of Pathology, Xiamen Haicang Hospital, 89 Haiyu Road, Haicang District, Xiamen, Fujian 361000, People’s Republic of ChinaTel +86-15759240618Email liuxiuhuahc308@163.comObjective: Colon cancer is a leading global cancer-related cause of morbidity and mortality. The oxaliplatin, 5-fluorouracil (5-FU), and leucovorin (FOLFOX) regimen is a standard chemotherapeutic approach used to treat colon cancer. However, chemoresistant tumor cells typically lead to the emergence of recurrent FOLFOX-resistant tumors after initial treatment. As such, it is vital that novel approaches to identifying and eliminating such chemoresistant tumors be developed in an effort to improve patient chemotherapy outcomes.Materials and Methods: In total, 100 samples of serum were obtained between April 2014 and April 2019 from patients who had been pathologically diagnosed with colon cancer from the Xiamen Haicang Hospital, and after these patients received FOLFOX chemotherapy treatment, serum samples were collected again. The expression of has_circ_0055625 in these serum samples was assessed via qPCR. Additionally, 5-FU IC50 values were detected via CCK-8 assay.Results: We found has_circ_0055625 to be significantly upregulated in colon cancer patient serum. After FOLFOX treatment, chemotherapy-resistance was associated with the upregulation of has_circ_0055625.Conclusion: In summary, these data may provide a foundation for future studies of chemotherapeutic resistance in patients undergoing FOLFOX treatment, potentially guiding treatment adjustment strategies. However, further work will be necessary to expand upon these findings.Keywords: has_circ_0055625, colon cancer, chemotherapy resistance, FOLFOX chemotherapy

Background We used bioinformatic analysis and quantitative reverse transcription polymerase chain reaction (RT-qPCR) assays to investigate the association between plasma microRNAs (miRNAs) and stable warfarin dosage in a Chinese Han population. Methods Bioinformatics analysis was used to screen out potential warfarin dose-associated miRNAs. Three plasma miRNAs were validated in 99 samples by RT-qPCR. Kruskal–Wallis test and multivariate logistic regression were used to compare differences in plasma miRNAs expression levels between three warfarin dosage groups. Results There were significant between-group differences among the three dose groups for hsa-miR-133b expression (p = 0.005), but we observed an “n-shaped” dose-dependent curve rather than a linear relationship. Expression levels of hsa-miR-24-3p (p = 0.475) and hsa-miR-1276 (p = 0.558) were not significantly different in the multivariate logistic regression. Conclusion miRNAs have received extensive attention as ideal biomarkers and possible therapeutic targets for various diseases. However, they are not yet widely used in precision medicine. Our results indicate that hsa-miR-133b may be a possible reference factor for the warfarin dosage algorithm. These findings emphasize the importance of a comprehensive evaluation of complex relationships in warfarin dose prediction models and provide new avenues for future pharmacogenomics studies.