Identification of an Metabolic Related Risk Signature Predicts Prognosis in Cervical Cancer and Correlates With Immune Infiltration.
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ABSTRACT:
SUBMITTER: Shang C
PROVIDER: S-EPMC8264424 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
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Identification of an Metabolic Related Risk Signature Predicts Prognosis in Cervical Cancer and Correlates With Immune Infiltration.
Shang Chunliang C Huang Jiaming J Guo Hongyan H
Frontiers in cell and developmental biology 20210624
The tumor metabolic reprogramming contributes to the progression and prognosis of cervical cancer (CC). However, the potential remodeling mechanisms of tumor metabolism in the immune microenvironment of CC remain largely unknown. In this study, we first performed microarray analysis to identify differential metabolic gene expression. A novel 5-metabolic-related genes (MRGs) signature comprising P4HA1, P4HA2, ABL2, GLTP, and CYP4F12 was established to better predict prognosis of CC using LASSO-Co ...[more]
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