Metabolic reprogramming‐associated genes predict overall survival for rectal cancer

Abstract

Metabolic reprogramming has become a hot topic recently in the regulation of tumour biology. Although hundreds of altered metabolic genes have been reported to be associated with tumour development and progression, the important prognostic role of these metabolic genes remains unknown. We downloaded messenger RNA expression profiles and clinicopathological data from The Cancer Genome Atlas and the Gene Expression Omnibus database to uncover the prognostic role of these metabolic genes. Univariate Cox regression analysis and lasso Cox regression model were utilized in this study to screen prognostic associated metabolic genes. Patients with high‐risk demonstrated significantly poorer survival outcomes than patients with low‐risk in the TCGA database. Also, patients with high‐risk still showed significantly poorer survival outcomes than patients with low‐risk in the GEO database. What is more, gene set enrichment analyses were performed in this study to uncover significantly enriched GO terms and pathways in order to help identify potential underlying mechanisms. Our study identified some survival‐related metabolic genes for rectal cancer prognosis prediction. These genes might play essential roles in the regulation of metabolic microenvironment and in providing significant potential biomarkers in metabolic treatment.

Uncovering potential genes in colorectal cancer based on integrated and DNA methylation analysis in the gene expression omnibus database

“…Carbonic anhydrase 7 ( CA7 ) is expressed in various normal tissues including colon [ 48 ]. Decreased expression of CA7 has been found in rectal cancer, rectal adenocarcinoma and CRC [ 49 – 51 ]. It is worth mentioning that CRC patients with lower CA7 expression had a remarkable shorter disease-specific survival in early stage tumors [ 51 ].…”

Construction and validation of a metabolic risk model predicting prognosis of colon cancer

“…Energy metabolism is the basis of proliferation and invasion for tumor cell, and most tumor cells show deviation from the normal energy metabolism state. The prognostic models based on metabolic genes have been established in rectal cancer 23 , lung adenocarcinoma 24 , hepatocellular carcinoma 25 , and acute myelogenous leukemia 26 . But it has not been used in colon cancer.…”

Genomics and prognosis analysis of epithelial-mesenchymal transition in colorectal cancer patients

“…On the other hand, an increasing number of studies have widely proved that EMT plays an important role in the development and progression of CRC [ 20 ]. Recently, mRNA gene signatures based on certain characteristics, such as metabolism [ 21 ] and cell cycle [ 22 ], have become research hotspots.…”