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

BACKGROUND: Colorectal 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 p...

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Detalles Bibliográficos
Autores principales: Tong, Zhi, Wang, Xinyu, Shi, Sanbao, Hou, Tiewei, Gao, Guangrong, Li, Da, Shan, Yongqi, Zhang, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166923/
https://www.ncbi.nlm.nih.gov/pubmed/36776001
http://dx.doi.org/10.1002/cam4.5682
Descripción
Sumario:BACKGROUND: Colorectal 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. METHODS: We 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. RESULTS: We 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. CONCLUSION: We 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.