Classification of Colorectal Cancer Subtypes Based on Endoplasmic Reticulum Stress.

IF 3 3区医学 Q2 GASTROENTEROLOGY & HEPATOLOGY

Digestion Pub Date : 2024-01-01 Epub Date: 2023-11-23 DOI:10.1159/000535230

Zhanbo Qu, Jian Chu, Yinhang Wu, Jing Zhuang, Jiang Liu, Shugao Han, Wei Wu, Shuwen Han

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引用次数: 0

Abstract

Introduction: Endoplasmic reticulum stress (ERS) is associated with the occurrence and development of colorectal cancer (CRC).

Methods: One thousand nine CRC samples and 3 ERS gene sets from GEO database were used to screen and validate genes related to stage and prognosis of CRC. Twenty thousand five hundred thirty samples from the TCGA database validated the ERS genes related to prognosis. PPI network construction and coexpression analysis were used to investigate the correlation of genes. ConsensusClusterPlus analysis was used to classify CRC subtypes. Cox regression and the LASSO algorithm were used to screen ERS genes related to prognosis. HE staining, immunohistochemical staining, and RT-qPCR of 50 owner-central samples were used to verify the genes. The ERscore model was constructed based on the ERS genes related to prognosis. The nomogram model was used to verify that different subtypes of CRC patients have different prognosis.

Results: Fifty ERS differentially expressed genes related to CRC stage and 8 ERS model genes related to prognosis were screened. Three subtypes of CRC were classified based on the former 50 genes. The clinical characteristics were significantly different among the subtypes. The ERscore model was constructed based on the latter 8 genes, and its accuracy was verified by clinical samples. Finally, the nomogram was constructed based on ERscore, age, and CRC stage, and the accuracy of the nomogram prediction was verified.

Conclusion: ERS-related genes can be used as classification criteria for CRC, and the related clinical characteristics of different CRC subtypes are different.

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基于内质网应激的结直肠癌亚型分类。

内质网应激(Endoplasmic reticulum stress, ERS)与结直肠癌(colorectal cancer, CRC)的发生发展有关。方法:利用GEO数据库中的1千9份结直肠癌样本和3组ERS基因对结直肠癌分期及预后相关基因进行筛选和验证。来自TCGA数据库的25530个样本证实了与预后相关的ERS基因。通过构建PPI网络和共表达分析来研究基因的相关性。采用ConsensusClusterPlus分析对CRC亚型进行分类。采用Cox回归和LASSO算法筛选与预后相关的ERS基因。采用HE染色、免疫组织化学染色和RT-qPCR对50份业主中心样本进行基因验证。基于与预后相关的ERS基因构建ERscore模型。采用nomogram模型验证不同亚型CRC患者的预后差异。结果:筛选到50个与结直肠癌分期相关的ERS差异表达基因和8个与预后相关的ERS模型基因。根据前50个基因将CRC分为三种亚型。各亚型间临床特征差异有统计学意义。基于后8个基因构建ERscore模型，并通过临床样本验证其准确性。最后，基于ERscore、年龄和CRC分期构建nomogram，并验证nomogram预测的准确性。结论:ers相关基因可作为结直肠癌的分类标准，不同结直肠癌亚型的相关临床特征不同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Digestion 医学-胃肠肝病学

CiteScore

7.90

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： ''Digestion'' concentrates on clinical research reports: in addition to editorials and reviews, the journal features sections on Stomach/Esophagus, Bowel, Neuro-Gastroenterology, Liver/Bile, Pancreas, Metabolism/Nutrition and Gastrointestinal Oncology. Papers cover physiology in humans, metabolic studies and clinical work on the etiology, diagnosis, and therapy of human diseases. It is thus especially cut out for gastroenterologists employed in hospitals and outpatient units. Moreover, the journal''s coverage of studies on the metabolism and effects of therapeutic drugs carries considerable value for clinicians and investigators beyond the immediate field of gastroenterology.