Hematopoietic Gene Expression Regulation Through m6A Methylation Predicts Prognosis in Stage III Colorectal Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33102231", "kind": "science-record", "revision": 7, "content_hash": "sha256:fac07b85ed87b3a51379a6a9620611697c1a04f9c03938cf175b7f65c12d8f9b", "created_at": "2026-11-01T15:41:13Z", "updated_at": "2026-11-01T22:02:23Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Hematopoietic Gene Expression Regulation Through m6A Methylation Predicts Prognosis in Stage III Colorectal Cancer.", "doi": "10.3389/fonc.2020.572708", "pmid": "33102231", "authors": ["Zheng Zhou", "Shaobo Mo", "Ruiqi Gu", "Weixing Dai", "Xinhui Zou", "Lingyu Han", "Long Zhang", "Renjie Wang", "Guoxiang Cai"], "journal": "Frontiers in oncology", "year": 2020, "abstract": "BACKGROUND: Methylation of N6 adenosine (m6A) plays important regulatory roles in diverse biological processes. The purpose of this research was to explore the potential mechanism of m6A modification level on the clinical outcome of stage III colorectal cancer (CRC).\nMETHODS: Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were adopted to reveal the signal pathway which was most likely affected by m6A methylation. The linear models for microarray data (LIMMA) method and the least absolute shrink-age and selection operator (LASSO) Cox regression model were used to identify the signature. The signature can sensitively separate the patients into high and low risk indicating the relapse-free survival (RFS) time based on time-dependent receiver operating characteristic (ROC) analysis. Then, the multi-gene signature was validated in GSE14333 and the Cancer Genome Atlas (TCGA) cohort. The number of the samples in GSE14333 and TCGA cohort are 63 and 150. Finally, two nomograms were set up and validated to predict prognosis of patients with stage III CRC.\nRESULTS: The hematopoietic cell lineage (HCL) signaling pathway was disclosed through GSEA and GSVA. Seven HCL-related genes were determined in the LASSO model to construct signature, with AUC 0.663, 0.708, and 0.703 at 1-, 3-, and 5-year RFS, respectively. Independent datasets analysis and stratification analysis indicated that the HCL-related signature was reliable in distinguishing high- and low-risk stage III CRC patients. Two nomograms incorporating the signature and pathological N stage were set up, which yielded good discrimination and calibration in the predictions of prognosis for stage III CRC patients.\nCONCLUSIONS: A novel HCL-related signature was developed as a predictive model for survival rate of stage III CRC patients. Nomograms based on the signature were advantageous to facilitate personalized counseling and treatment in stage III CRC.", "claims": [{"id": "claim-method", "statement": "We built a risk score using the formula of CD36, ITGA3, FLT3, CR2, IL7, CD2, and CD55 expression by the method of LASSO Cox regression.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33102231", "locator": "sections[6] \"Statistics for Classification, Prediction and Validation in the GEO and TCGA Series\" paragraph 2", "quote": "We built a risk score using the formula of CD36, ITGA3, FLT3, CR2, IL7, CD2, and CD55 expression by the method of LASSO Cox regression."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. 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