机构：[1]Department of Thoracic Surgery, The Second Affiliated Hospital of Kunming Medical University, 650101 Kunming, Yunnan, China[2]Department of Thoracic Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, 650031 Kunming, Yunnan, China云南省第一人民医院[3]Department of Thoracic, Thyroid Gland and Breast Surgery, The People’s Hospital of Qilin District, 655000 Qujing, Yunnan, China[4]Department of Neurothoracic Surgery, The First People’s Hospital of XuanWei, 655400 Xuanwei, Yunnan, China[5]Department of Pathology, Anning First People's Hospital, Kunming University of Science and Technology, Kunming Fourth People's Hospital, 650302 Anning, Yunnan, China[6]Department of Thoracic Surgery, The First Affiliated Hospital of Kunming Medical University, 650032 Kunming, Yunnan, China昆明医科大学附属第一医院外科科室胸外科
Objective: This study aimed to identify gene markers that can predict the response to neoadjuvant chemoradiotherapy (neo -CRT) in esophageal cancer.Methods: Three datasets were used. After pre-processing, weighted gene co-expression network analysis (WGCNA) was used to screen the key module. Differentially expressed genes (DEGs) were selected, followed by screening of chemoradiotherapy (CRT) response markers by least absolute shrinkage and selection operator (LASSO) regression analysis.Results: Pink and yellow modules were screened using WGCNA. In total, 763 DEGs were identified. Ninety-eight common genes were identified after Venn analysis. Finally, LASSO regression analysis revealed 12 predictive gene markers, including LCE3D, PPP4R4, CTNNA2, ALOX12b, GLIS3, LINC00592, RIBC2, IQCF5-AS1, WIF1, MRAP2, ZIC1, and AkR1C1. The model constructed using these 12 genes accurately predicted the CRT response.Conclusions: The 12 screened genes, such as CTNNA2, WIF1, and GLIS3 may serve as predictive markers of neo-CRT response in esophageal cancer.
基金：
Health Commission of Yunnan Province Training Plan for Medical Reserve Talents [H-2018027]
基金编号：H-2018027
语种：
外文
WOS：
中科院(CAS)分区：
出版当年[2024]版：
无
最新[2023]版：
大类|4 区医学
小类|4 区内分泌学与代谢4 区免疫学4 区医学：研究与实验4 区生理学
JCR分区：
出版当年[2023]版：
Q4ENDOCRINOLOGY & METABOLISMQ4IMMUNOLOGYQ4MEDICINE, RESEARCH & EXPERIMENTALQ4PHYSIOLOGY
最新[2023]版：
Q4ENDOCRINOLOGY & METABOLISMQ4IMMUNOLOGYQ4MEDICINE, RESEARCH & EXPERIMENTALQ4PHYSIOLOGY
第一作者机构：[1]Department of Thoracic Surgery, The Second Affiliated Hospital of Kunming Medical University, 650101 Kunming, Yunnan, China
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Liu Xin,Ning Xiangu,Yang Zhen,et al.Screening of Predictive Markers of Neoadjuvant Chemoradiotherapy in Esophageal Cancer Based on Weighted Gene Co-Expression Network Analysis[J].JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS.2023,37(4):1853-1864.doi:10.23812/j.biol.regul.homeost.agents.20233704.184.
APA：
Liu, Xin,Ning, Xiangu,Yang, Zhen,Zhu, Ruiling,Kong, Weiqing...&Chen, Xiaobo.(2023).Screening of Predictive Markers of Neoadjuvant Chemoradiotherapy in Esophageal Cancer Based on Weighted Gene Co-Expression Network Analysis.JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS,37,(4)
MLA：
Liu, Xin,et al."Screening of Predictive Markers of Neoadjuvant Chemoradiotherapy in Esophageal Cancer Based on Weighted Gene Co-Expression Network Analysis".JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS 37..4(2023):1853-1864
