ArticleDiscover oncology2025
Prognostic value of brown adipocyte-related genes in colorectal cancer: a multi-omics and Mendelian randomization study.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Article
- Crucial role of telomere maintenance-related genes in survival prediction and subtype identification in colorectal cancer.Frontiers in molecular biosciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundBrown adipocytes are vital in cancer's emergence and progression. However, such significance of brown adipocytes-related genes (BARGs) in colorectal cancer (CRC) still awaits exploration. The potential prognostic mechanisms of BARGs in CRC were aimed to be explored in this study.
methodsDatasets related to CRC were obtained from public databases. Candidate genes were pinpointed by synthesizing the findings from analysis of differential expression and Weighted Gene Co-expression Network Analysis (WGCNA). Utilizing Mendelian randomization (MR), sensitivity analysis, and the Steiger test, the feature genes causally linked to CRC were precisely pinpointed. Then, prognostic genes were identified using univariate Cox analysis and machine learning algorithms, and a prognostic model was developed and validated. In addition, the construction and evaluation of nomograms, analysis of the immune microenvironment, drug sensitivity, and functional enrichment were also carried out.
resultsAltogether, 168 characteristic genes were pinpointed through MR analysis. ADD2, PDE1B, LZTS1, and PCSK5 were identified as prognostic genes. The area under the curve (AUC) values of receiver operating characteristic (ROC) for both the prognostic model and the nomogram were greater than 0.6, indicating high accuracy. Additionally, positive correlations were found among the differentially expressed immune cells, and PDE1B exhibited the most significant positive correlation with regulatory T cells. A variety of chemotherapeutic drugs were more significantly effective in treating CRC patients in low-risk group (LRG). Gene Set Enrichment Analysis (GSEA) demonstrated that the pathways linked to cell microenvironment remodeling and migration regulation were significantly enriched between high-risk group (HRG) and LRG.
conclusionADD2, PDE1B, LZTS1, and PCSK5 were identified as prognostic genes. A prognostic model related to BARGs in CRC was established, offering fresh perspectives on the prognostic treatment of CRC.
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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 Socratic graph.