Molecular Characteristics, Oncogenic Roles, and Relevant Immune and Pharmacogenomic Features of EVA1B in Colorectal Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35250982", "kind": "science-record", "revision": 4, "content_hash": "sha256:a8b4db9d5448b74f508846c98a5b50ce1f68d1d80faac83b65a7b0ce5d596c6c", "created_at": "2026-11-01T17:37:00Z", "updated_at": "2026-11-01T22:06:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Molecular Characteristics, Oncogenic Roles, and Relevant Immune and Pharmacogenomic Features of EVA1B in Colorectal Cancer.", "doi": "10.3389/fimmu.2022.809837", "pmid": "35250982", "authors": ["Bin Ma", "Kangchun Wang", "Yu Liang", "Qingkai Meng", "Yongmin Li"], "journal": "Frontiers in immunology", "year": 2022, "abstract": "OBJECTIVE: EVA1B, a protein coding gene, is a critical paralog of EVA1A gene. Herein, our study was conducted to investigate the role of EVA1B in colorectal cancer (CRC) progression and prognosis.\nMETHODS: Pan-cancer analysis was conducted to analyze expression, genetic and epigenetic alterations, and immunological characteristics of EVA1B. Especially, immunological characteristics and mutational landscape were compared between high and low EVA1B expression groups in the combined TCGA-COAD and TCGA-READ datasets. Through random survival forest analysis, an EVA1B-derived genomic model was developed, and its prognostic value was verified in the external datasets (GSE14333, GSE39582, and GSE87211). Drug sensitivity was compared between high- and low-risk subpopulations. A nomogram was conducted through integrating independent factors.\nRESULTS: EVA1B expression presented a remarkable upregulation in most cancer types, especially CRC. EVA1B expression was significantly correlated to DNA methyltransferases, DNA mismatch repair genes, m6A regulators, TMB, and MSI across pan-cancer. High EVA1B expression indicated an undesirable CRC patients' prognosis. Additionally, its upregulation was correlated to enhanced immune cell infiltration, increased stromal and immune activation, and elevated activities of cancer immunity cycle. Higher frequencies of amplification and deletion were investigated in high EVA1B expression subpopulation. Following verification, the EVA1B-derived genomic model reliably predicted patients' prognosis and drug responses. The nomogram (age, stage, EVA1B-derived risk score) was conducted to quantify an individual's survival probability. Furthermore, our experimental validation based on immunohistochemistry indicated that EVA1B overexpression is correlated with CRC tumorigenesis and poor outcomes in our CRC patients' cohort.\nCONCLUSION: Collectively, our findings provided valuable resource for guiding the mechanisms and therapeutic analysis of EVA1B in CRC.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier curves and the log-rank test were used to compare the OS between EVA1B expression level.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35250982", "locator": "sections[14] \"Statistical Analysis\" paragraph 2", "quote": "Kaplan–Meier curves and the log-rank test were used to compare the OS between EVA1B expression level."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. These data can be found here: https://portal.gdc.cancer.gov/ and GEO, https://www.ncbi.nlm.nih.gov/geo/, under accession numbers GSE14333, GSE39582, and GSE87211.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35250982", "locator": "sections[31] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. These data can be found here: https://portal.gdc.cancer.gov/ and GEO, https://www.ncbi.nlm.nih.gov/geo/, under accession numbers GSE14333, GSE39582, and GSE87211."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The EVA1B-derived genomic model reliably predicted patients’ prognosis and drug responses following verification.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35250982", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Following verification, the EVA1B-derived genomic model reliably predicted patients’ prognosis and drug responses."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The EVA1B-derived genomic model reliably predicted patients’ prognosis and drug responses following verification.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35250982"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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