4.3 Article

Identification of genes contributing to cisplatin resistance in osteosarcoma cells

期刊

FEBS OPEN BIO
卷 13, 期 1, 页码 164-173

出版社

WILEY
DOI: 10.1002/2211-5463.13524

关键词

chemotherapy; cisplatin; genetic screen; osteosarcoma; piggyBac transposon; resistance

向作者/读者索取更多资源

Understanding the molecular mechanisms of chemotherapy resistance in osteosarcoma cells is crucial for developing new therapeutic approaches and improving the prognosis of patients. By screening and sequencing, several candidate genes associated with cisplatin resistance in osteosarcoma were identified, and a disease-free survival predictor model was created.
Osteosarcomas are prevalent in children and young adults and have a high recurrence rate. Cisplatin, doxorubicin, and methotrexate are common adjuvant chemotherapy drugs for treatment of osteosarcoma, but multidrug resistance is a growing problem. Therefore, understanding the molecular mechanisms of chemotherapy resistance in osteosarcoma cells is crucial for developing new therapeutic approaches and ultimately improving the prognosis of osteosarcoma patients. To identify genes associated with cisplatin resistance in osteosarcoma, we screened a large-scale mutant library generated by transfecting human osteosarcoma cells with a piggyBac (PB) transposon-based gene activation vector. Several candidate genes were identified by using Splinkerette-PCR paired with Next Generation Sequencing. We created a disease-free survival predictor model, which includes ZNF720, REEP3, CNNM2, and CGREF1, using TARGET (Therapeutically Applicable Research to Generate Effective Treatments) datasets. Additionally, the results of our enrichment analysis between the Four_genes_high group and Low_group suggested that these four genes may participate in cisplatin resistance in osteosarcoma through cross talk between various signaling pathways, especially the signaling pathway related to bone formation. These data may help guide future studies into chemotherapy for osteosarcoma.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据