ArticleFrontiers in cell and developmental biology2021
Predicting Panel of Metabolism and Immune-Related Genes for the Prognosis of Human Ovarian Cancer.
Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 16 citations in OpenAlex.
- Development and validation of a prognosis model for low-grade gliomas based on metabolic gene risk scoring and immune microenvironment interaction.Discover oncology · 2026Article
- Exploration of propionate metabolism-related genes to predict prognosis and immunotherapy response in ovarian cancer.Journal of ovarian research · 2025Article
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- Tryptophan metabolism enzymes are potential targets in ovarian clear cell carcinoma.Cancer medicine · 2023Article
- MAVS integrates glucose metabolism and RIG-I-like receptor signaling.Nature communications · 2023Article
- What is new in cancer-associated fibroblast biomarkers?Cell communication and signaling : CCS · 2023Review
- Prognostic factors and Doxorubicin involved in malignant progression of meningioma.Scientific reports · 2023Article
- ACSM3 suppresses proliferation and induces apoptosis and cell cycle arrest in acute myeloid leukemia cells via the regulation of IGF2BP2.Experimental and therapeutic medicine · 2023Article
- Protein expression profiling identifies a prognostic model for ovarian cancer.BMC women's health · 2022Article
- Tumor Immune Microenvironment Related Gene-Based Model to Predict Prognosis and Response to Compounds in Ovarian Cancer.Frontiers in oncology · 2021Article
- Identification of Crucial Genes and Infiltrating Immune Cells Underlying Sepsis-Induced Cardiomyopathy via Weighted Gene Co-Expression Network Analysis.Frontiers in genetics · 2021Article
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveOvarian cancer (OC) is a high deadly gynecologic cancer with a poor prognosis. The identification of genomic aberrations could predict the clinical prognosis of OC patients and may eventually develop new therapeutic strategies in the future. The purpose of this study is to create comprehensive co-expressed gene networks correlated with metabolism and the immune process of OC.
methodsThe transcriptome profiles of TCGA OC datasets and GSE26193 datasets were analyzed. The mRNA expression level, hub genomic alteration, patient's survival status, and tumor cell immune microenvironment of metabolism-related genes were analyzed from TCGA, GTEX, Oncomine, Kaplan-Meier Plotter, cBioPortal, TIMER, ESTIMATE, and CIBERSORT databases. We further validated the mRNA and protein expression levels of these hub genes in OC cell lines and tissues using qRT-PCR and immunohistochemistry.
resultsThe LASSO-Cox regression analyses unveiled seven differently expressed metabolism-related genes, including
conclusionThe differently expressed metabolism-related genes were identified to be a risk model in the prediction of the prognosis of OC. The identified hub genes related to OC prognosis may play important roles in influencing both human metabolism and the immune system.
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