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Identification of potential genes and pathways for response prediction of neoadjuvant chemoradiotherapy in patients with rectal cancer by systemic biological analysis

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机构: [1]Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004 [2]Institute of Radiotherapy and Oncology, Soochow University, Suzhou, Jiangsu 215004 [3]Suzhou Key Laboratory for Radiation Oncology, Suzhou, Jiangsu 215004 [4]Department of Oncology, Nantong Rich Hospital, Nantong, Jiangsu 226010 [5]Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China
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关键词: rectal cancer differentially expressed genes pathways enrichment analysis

摘要:
Currently, neoadjuvant chemoradiotherapy (CRT) followed by radical surgery is the standard of care for locally advanced rectal cancer. However, to the best of our knowledge, there are no effective biomarkers for predicting patients who may benefit from neoadjuvant treatment. The aim of the current study was to screen potential crucial genes and pathways associated with the response to CRT in rectal cancer, and provide valid biological information to assist further investigation of CRT optimization. In the current study, differentially expressed (DE) genes were identified from the tumor samples of responders and non-responders to neoadjuvant CRT in the GSE35452 gene expression profile. Seven hub genes and one significant module were identified from the protein-protein interaction (PPI) network. Functional enrichment analysis of all the DE genes and the hub genes, retrieved from PPI network analysis, revealed their associations with CRT response. Genes were identified that may be used to discriminate patients who would or would not clinically benefit from neoadjuvant CRT. Several important pathways enriched by the DE genes, hub genes and selected module were identified, and revealed to be closely associated with radiation response, including excision repair, homologous recombination, Ras signaling pathway, the forkhead box O signaling pathway, focal adhesion and the Wnt signaling pathway. In conclusion, the current study demonstrated that the identified gene signatures and pathways may be used as molecular biomarkers for predicting CRT response. Furthermore, combinations of these biomarkers may be helpful for optimizing CRT treatment and promoting understanding of the molecular basis of response differences; this needs to be confirmed by further experiments.

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出版当年[2018]版:
大类 | 4 区 医学
小类 | 4 区 肿瘤学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 肿瘤学
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出版当年[2017]版:
Q4 ONCOLOGY
最新[2023]版:
Q3 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者机构: [1]Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004 [2]Institute of Radiotherapy and Oncology, Soochow University, Suzhou, Jiangsu 215004 [3]Suzhou Key Laboratory for Radiation Oncology, Suzhou, Jiangsu 215004
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通讯机构: [*1]Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, Jiangsu 215004, P.R. China
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