ArticleFrontiers in oncology2022
A metabolic reprogramming-related prognostic risk model for clear cell renal cell carcinoma: From construction to preliminary application.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Comprehensive analysis of metabolic reprogramming-related gene signatures for predicting ovarian cancer prognosis, the immune landscape, and potential treatment options.Discover oncology · 2026Article
- Decoding the Sphingolipid Landscape of Clear Cell Renal Cell Carcinoma: A Single-Cell-Guided Prognostic Model Built With 101 Machine Learning.Human mutation · 2026Article
- Article
- CHDH Promotes Breast Cancer Metastasis Relying on IL17RB/CREB1 Signalling Activation.Journal of cellular and molecular medicine · 2025Article
- Article
- Decoding sunitinib resistance in ccRCC: Metabolic-reprogramming-induced ABAT and GABAergic system shifts.iScience · 2024Article
- Exploring the Biomarkers and Potential Mechanisms of Botulinum Toxin Type A in the Treatment of Microglial Inflammatory Activation through P2X7 Receptors based on Transcriptome Sequencing.Current pharmaceutical design · 2024Article
- Article
- Functional enrichment analysis of LYSET and identification of related hub gene signatures as novel biomarkers to predict prognosis and immune infiltration status of clear cell renal cell carcinoma.Journal of cancer research and clinical oncology · 2023Article
- CHDH, a key mitochondrial enzyme, plays a diagnostic role in metabolic disorders diseases and tumor progression.Frontiers in genetics · 2023Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic reprogramming is one of the characteristics of clear cell renal cell carcinoma (ccRCC). Although some treatments associated with the metabolic reprogramming for ccRCC have been identified, remain still lacking. In this study, we identified the differentially expressed genes (DEGs) associated with clinical traits with a total of 965 samples
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.