ArticleAnnals of translational medicine2022
A predictive study of metabolism reprogramming in cervical carcinoma.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 26 citations in OpenAlex.
- Identification of key genes related to macrophages and metabolic reprogramming in myocardial infarct based on single-cell and bulk transcriptomics data and experimental validation.BMC cardiovascular disorders · 2026Article
- Integrated WGCNA retrieval of T-cell exhaustion genes related to radiosensitivity in locally advanced cervical cancer and prediction of immunotherapy efficacy.Discover oncology · 2025Article
- The Cytochrome CYP4 in Breast and Other Cancers.Biology · 2025Review
- PLOD3 as a novel oncogene in prognostic and immune infiltration risk model based on multi-machine learning in cervical cancer.Discover oncology · 2025Article
- A mini-review-cancer energy reprogramming on drug resistance and immune response.Translational oncology · 2024Review
- A risk prediction model mediated by genes of APOD/APOC1/SQLE associates with prognosis in cervical cancer.BMC women's health · 2022Article
- Review
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Metabolic reprogramming has been identified as a hallmark of cancer, influencing the immunity in the tumor microenvironment. Because of the high-heterogeneity of cervical carcinoma, we aim to figure out the metabolic subtypes of cervical carcinoma indicating the prognosis. Methods: We profiled the distinct metabolic signatures using data from transcriptomes obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Bioinformatics analyses were conducted to identify the possible biomarkers of overall survival and chemotherapy resistance. Results: Immune infiltration was closely related to metabolic pathways, especially in the carbohydrate pathway and the lipid and energy pathway. Two distinct clusters of differentially expressed genes were identified. Six genes were selected as possible indicators of prognosis, including Conclusions: Metabolic reprogramming, especially in the carbohydrate pathway and the lipid and energy metabolic pathway, is associated with the immune cell microenvironment, which is crucial for the prognosis of Invasive cervical carcinoma (ICC), providing potential therapeutic targets in clinic.
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