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pmid:41607549
Unveiling the prognostic role of FABP4 in early-onset colorectal cancer through big data analysis and preliminary clinical validation.
Yu Wu · Weiwei Zou · Shengjun Zhang · Lipeng Zhao · Shaohua He · Fan Yao · Peilin Qing · Yixin Li · Jie Li · Xiao-Liang Xing
Frontiers in oncology · 2025 doi:10.3389/fonc.2025.1689952
Paper
complete
Experiment
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Data
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Analysis
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Execution
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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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Complete file
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This study aimed to identify suitable prognostic biomarkers for EOCRC.\nMethods: Gene expression and clinical data from TCGA and GEO (GSE39582, GSE17536, and GSE17537) datasets were analyzed. Differential expression, univariate and multivariate Cox regression, and correlation analyses were performed. Immune status was evaluated using ESTIMATE and CONSENSUS TME algorithm. Immunotherapy and chemotherapy response was predicted via the TIDE and oncoPredict algorithm, respectively. Candidate signatures were validated in clinical samples from three EOCRC patients using qRT-PCR.\nResults: Fatty Acid Binding Protein 4 (FABP4) was identified as an independent prognostic factor for poor overall survival in EOCRC patients. A prognostic model based on FABP4 demonstrated good predictive accuracy for 1-, 3-, and 5-year survival in both training and validation sets. The high-FABP4 expression was negative correlated TIDE scores, suggesting EOCRC patients with high expression of FABP4 maybe benefit from immunotherapy. Furthermore, 66 chemotherapeutic agents showed significant negative correlations with FABP4 expression. Validation in patient samples confirmed the coordinated upregulation of FABP4 and its associated genes ADIPOQ and IGF1.\nConclusion: FABP4 is a promising independent prognostic biomarker for EOCRC, associated with an immunosuppressive microenvironment and maybe a potential guidance for immunotherapy and chemotherapy selection. Further multi-center prospective studies are warranted to validate its clinical utility.", "claims": [{"id": "claim-method", "statement": "Univariate and multivariate Cox regression analyses were conducted to identify signatures independently associated with overall survival (OS).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41607549", "locator": "sections[4] \"Cox regression analysis\" paragraph 2", "quote": "Univariate and multivariate Cox regression analyses were conducted to identify signatures independently associated with overall survival (OS)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material. 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