1Medical College of Qinghai University, Xining 810001, China; 2Department of Radiation Oncology, Affiliated Hospital of Qinghai University/Affiliated Cancer Hospital Qinghai University, Xining 810001, China
AbstractObjective To search for the key genes influencing the resistance of rectal cancer to chemoradiotherapy based on the weighted gene co-expression network analysis (WGCNA). Methods The data were collected from gene expression omnibus. The whole genome expression data GSE119409 of patients receiving radiotherapy and chemotherapy were obtained by gene expression ominibus. The weighted gene co-expression networks of pathological complete response group and non-pathological complete response group were constructed respectively. NetRep conservative evaluation method was used to comprehensively analyze the three key network attributes of gene connectivity, gene significance and module membership of each node in the network module, and to determine the key genes closely related to the sensitivity of rectal cancer to radiotherapy and chemotherapy. Results Network modules including black, blue, green, yellow and purple were obtained by WGCNA, and five key genes including SLC22A14, SIDT2, CABP4, EPHB6 and RAB11B were screened out. Conclusions Five gene co-expression network modules and five key genes related to chemoradiotherapy resistance of rectal cancer were screened by weighted gene co-expression network analysis, which provided clues for finding molecular markers and potential therapeutic targets for neoadjuvant chemoradiotherapy resistance evaluation.
Hao Yanhui,Feng Ruixing,Qi Yanjuan et al. Genomic prediction of neoadjuvant chemoradiotherapy resistance in rectal cancer[J]. Chinese Journal of Radiation Oncology, 2021, 30(12): 1268-1274.
Hao Yanhui,Feng Ruixing,Qi Yanjuan et al. Genomic prediction of neoadjuvant chemoradiotherapy resistance in rectal cancer[J]. Chinese Journal of Radiation Oncology, 2021, 30(12): 1268-1274.
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