» Articles » PMID: 37664172

GAPDH: A Common Housekeeping Gene with an Oncogenic Role in Pan-cancer

Overview
Specialty Biotechnology
Date 2023 Sep 4
PMID 37664172
Authors
Affiliations
Soon will be listed here.
Abstract

Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) is one of the most prominent housekeeping proteins and is widely used as an internal control in some semi-quantitative assays. In addition to glycolysis, GAPDH is involved in several cancer-related biological processes and has been reported to be commonly dysregulated in multiple cancer types. Therefore, its role in the physiological process of cancer needs to be urgently elucidated. Pan-cancer analysis indicated that is ubiquitously highly expressed in most cancer types, and that patients with a high expression of in tumor tissues have a poor prognosis. The concordance of expression in tumors with the infiltration of immune cells and immune checkpoints implies a certain association between GAPDH and the tumor microenvironment as well as tumor development. Gene Set Enrichment Analysis revealed that may contribute to multiple important cancer-related pathways and biological processes. Multi-omics analysis and cell experiments revealed that overexpression is regulated by DNA copy number amplification and promoter methylation modification. Importantly, a transcription factor, forkhead box M1 (FOXM1), which is capable of regulating GAPDH expression, was also identified and was confirmed to be an oncogene and ubiquitously highly expressed in multiple cancer types. Semi-quantitative chromatin immunoprecipitation, quantitative PCR, and dual-luciferase assays showed that FOXM1 mainly binds to the promoter region of in two cancer cell lines. The present findings revealed the implication of GAPDH in tumor development, thus bringing attention to this important molecule and casting doubts on its role as an internal reference gene in cancer studies.

Citing Articles

A novel glycolysis-related gene signature for predicting prognosis and immunotherapy efficacy in breast cancer.

Huang R, Li Y, Lin K, Zheng L, Zhu X, Huang L Front Immunol. 2025; 16:1512859.

PMID: 40046063 PMC: 11880812. DOI: 10.3389/fimmu.2025.1512859.


Evaluation of reference genes for qPCR in human liver and kidney tissue from individuals with obesity.

Romaniuk-Drapala A, Kosicka-Noworzyn K, Sheng Y, Yohn C, Brunetti L, Kagan L Sci Rep. 2025; 15(1):5347.

PMID: 39948154 PMC: 11825690. DOI: 10.1038/s41598-025-87911-x.


Effect of Gene Polymorphisms on Fatty Acid Composition, Chemical Composition, and Carcass Traits in Sonid Sheep.

Xiang J, Li H, Guo Z, Li T, Yamada T, Li X Animals (Basel). 2025; 15(2).

PMID: 39858226 PMC: 11758647. DOI: 10.3390/ani15020226.


Antioxidant Effects and Potential Mechanisms of 'Chachi' Components: An Integrated Approach of Network Pharmacology and Metabolomics.

Xiao J, Sun T, Jiang S, Xiao Z, Shan Y, Li T Foods. 2025; 13(24.

PMID: 39766961 PMC: 11675786. DOI: 10.3390/foods13244018.


Comprehensive analysis of telomere and aging-related signature for predicting prognosis and immunotherapy response in lung adenocarcinoma.

Ye Z, Huang Y, Chen T, Wu Y J Cardiothorac Surg. 2025; 20(1):31.

PMID: 39757226 PMC: 11702222. DOI: 10.1186/s13019-024-03337-y.


References
1.
Tanaka A, Sakaguchi S . Targeting Treg cells in cancer immunotherapy. Eur J Immunol. 2019; 49(8):1140-1146. DOI: 10.1002/eji.201847659. View

2.
Topalian S, Drake C, Pardoll D . Immune checkpoint blockade: a common denominator approach to cancer therapy. Cancer Cell. 2015; 27(4):450-61. PMC: 4400238. DOI: 10.1016/j.ccell.2015.03.001. View

3.
Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A . Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002; 3(7):RESEARCH0034. PMC: 126239. DOI: 10.1186/gb-2002-3-7-research0034. View

4.
Epner D, Partin A, Schalken J, Isaacs J, Coffey D . Association of glyceraldehyde-3-phosphate dehydrogenase expression with cell motility and metastatic potential of rat prostatic adenocarcinoma. Cancer Res. 1993; 53(9):1995-7. View

5.
Maeser D, Gruener R, Huang R . oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data. Brief Bioinform. 2021; 22(6). PMC: 8574972. DOI: 10.1093/bib/bbab260. View