Development of lactate‐related gene signature and prediction of overall survival and chemosensitivity in patients with colorectal cancer

Author:

Tong Zhi12ORCID,Wang Xinyu1,Shi Sanbao1,Hou Tiewei1,Gao Guangrong1,Li Da1,Shan Yongqi1,Zhang Cheng1

Affiliation:

1. Department of General Surgery General Hospital of Northern Theater Command (Formerly Called General Hospital of Shenyang Military Area) Shenyang China

2. Postgraduate College China Medical University Shenyang China

Abstract

AbstractBackgroundColorectal cancer (CRC) is a malignant tumor of the digestive system that contains high levels of immune cells. Lactic acid, a major metabolite, plays a crucial role in tumor development, maintenance, and therapeutic response. However, the prognostic potential and therapeutic biomarker potential of lactate‐related genes (LRGs) in CRC patients remain to be elucidated.MethodsWe collected the mRNA expression profile and clinical data of CRC patients from the Cancer Genome Atlas (TCGA) database and the GSE59382 cohort. Univariate Cox regression, Lasso regression and multivariate Cox regression analysis were used to construct the prognosis model. Combined with the risk score and important clinicopathological features, the nomogram was established. In addition, the relationship between risk score and immune infiltration, immune checkpoint gene expression, and drug sensitivity was investigated.ResultsWe constructed lactate‐related gene signatures (LRGS) based on four LRGs, which independently predicted the prognosis of CRC. Patients with different risk scores are found to have distinct immune status, tumor mutation load, immune response, and drug sensitivity. In addition, nomogram results determined by risk scores and clinical factors have higher predictive performance.ConclusionWe found that LRGS is a reliable biomarker for predicting clinical outcomes, evaluating immune infiltration and efficacy, and predicting the sensitivity to drugs in patients with CRC.

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

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