ArticleAging2022
Fatty acid metabolism-related signature predicts survival in patients with clear cell renal carcinoma.
Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- An Integrated Immunometabolic Signature Predicts Prognosis and Immunotherapy Response in ccRCC and IdentifiesCancers · 2026Article
- Bladder cancer diagnostic and prognostic models from DNA methylation by multi algorithm machine learning.NPJ precision oncology · 2025Article
- The biological roles and molecular mechanisms of m6A reader IGF2BP1 in the hallmarks of cancer.Genes & diseases · 2025Review
- TRF-16 Inhibits Lung Cancer Progression by Hindering the N6-Methyladenosine Modification of CPT1A mRNA.Journal of cellular and molecular medicine · 2024Article
- Predicting prognosis and drug sensitivity in bladder cancer: an insight into Pan-programmed cell death patterns regulated by M6A modifications.Scientific reports · 2024Article
- A novel cancer-associated fibroblast signature for kidney renal clear cell carcinoma via integrated analysis of single-cell and bulk RNA-sequencing.Discover oncology · 2024Article
- Prognostic significance and mechanisms of CXCL genes in clear cell renal cell carcinoma.Aging · 2023Article
- Article
- Differential Activation of NRF2 Signaling Pathway in Renal-Cell Carcinoma Caki Cell Lines.Biomedicines · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore fatty acid metabolism-related genes and signature, which could predict survival outcomes of clear cell renal carcinoma (ccRCC) patients. MATERIALS AND
methodsTranscriptional and survival data of fatty acid genes in ccRCC patients were retrieved from UCSC Xena and Geo DataSets. We first performed Lasso Cox regression analysis to identify survival-related genes. These genes were then used to construct metabolic-related gene signature and risk score. Enrichment analysis and immune component and chemotherapy response prediction were also performed.
resultsIn total, five survival-related genes were identified:
conclusionWe identified five survival-related genes (
Indexed as
Identifiers
What OpenQuestion holds
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.