Open AccessThe Expression of Glyceraldehyde-3-Phosphate Dehydrogenase Associated Cell Cycle (GACC) Genes Correlates with Cancer Stage and Poor Survival in Patients with Solid Tumors
Author(s) -
Dunrui Wang,
Daniel R. Moothart,
Douglas R. Lowy,
Xiaolan Qian
Publication year - 2013
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0061262
Subject(s) - glyceraldehyde 3 phosphate dehydrogenase , biology , gene expression , glycolysis , cell cycle , microarray analysis techniques , housekeeping gene , gene , cancer research , gene expression profiling , cancer , regulation of gene expression , genetics , enzyme , biochemistry
Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) is often used as a stable housekeeping marker for constant gene expression. However, the transcriptional levels of GAPDH may be highly up-regulated in some cancers, including non-small cell lung cancers (NSCLC). Using a publically available microarray database, we identified a group of genes whose expression levels in some cancers are highly correlated with GAPDH up-regulation. The majority of the identified genes are cell cycle-dependent ( GAPDH Associated Cell Cycle, or GACC). The up-regulation pattern of GAPDH positively associated genes in NSCLC is similar to that observed in cultured fibroblasts grown under conditions that induce anti-senescence. Data analysis demonstrated that up-regulated GAPDH levels are correlated with aberrant gene expression related to both glycolysis and gluconeogenesis pathways. Down-regulation of fructose-1,6-bisphosphatase (FBP1) in gluconeogenesis in conjunction with up-regulation of most glycolytic genes is closely related to high expression of GAPDH in the tumors. The data presented demonstrate that up-regulation of GAPDH positively associated genes is proportional to the malignant stage of various tumors and is associated with an unfavourable prognosis. Thus, this work suggests that GACC genes represent a potential new signature for cancer stage identification and disease prognosis.