RNA Binding Protein-Based Model for Prognostic Prediction of Colorectal Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34080453", "kind": "science-record", "revision": 7, "content_hash": "sha256:3fd9b86f51c38240c622ea9ca2897cedb65495727c118df49d4181959fa817e3", "created_at": "2026-11-01T15:41:37Z", "updated_at": "2026-11-01T21:25:28Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "RNA Binding Protein-Based Model for Prognostic Prediction of Colorectal Cancer.", "doi": "10.1177/15330338211019504", "pmid": "34080453", "authors": ["Ting Li", "Wenjia Hui", "Halina Halike", "Feng Gao"], "journal": "Technology in cancer research & treatment", "year": 2021, "abstract": "BACKGROUND: Colorectal cancer (CRC) is a kind of gastrointestinal tumor with serious high morbidity and mortality. Several reports have implicated the disorder of RNA-binding proteins (RBPs) in plenty of tumors, associating it to tumorigenesis and disease progression. The study is intended to construct novel prognostic biomarkers associated with CRC patients.\nMETHODS: Data of gene expression was acquired from the TCGA database, prognosis-related genes were selected. Besides, we analyzed GO and KEGG pathways. Univariate and multivariate Cox analyses were performed to generate a prognostic-related gene signature, which was evaluated by the Kaplan-Meier (K-M) and the Receiver Operating Characteristic (ROC) curve. The independent prognostic factor was established by survival analysis. GSE38832 dataset was used to validate the signature. Finally, expression of 8 genes was further confirmed by qRT-PCR in SW480 and SW620 cell lines.\nRESULTS: We obtained 224 differentially expressed RBPS in total, of which 78 were downregulated and 146 were upregulated. Univariate COX analysis was conducted in the TCGA cohort to select 13 RBPs with P < 0.005, stepwise multivariate COX regression analysis was used to construct an 8-RBP signature (TERT, PPARGC1A, BRCA1, CELF4, TDRD7, LUZP4, PNLDC1, ZC3H12C). Based on the model, systematic analysis illustrated that a high risk score was obviously connected to a poor prognosis. The prognostic value of the risk score was validated in GSE38832 dataset, indicating that the risk model was accurate and effective. The prognostic signature-based risk score was identified as an independent prognostic indicator for CRC. The expression results of qRT-PCR were consistent with the results of differential expression analysis.\nCONCLUSIONS: The eight-RBP signature can predict the survival of CRC patients and potentially act as CRC prognostic biomarker.", "claims": [{"id": "claim-method", "statement": "The univariate and multivariate Cox regression analyses were confirmed in the TCGA cohort to determine if the eight-RBP risk signature were independent prognostic factors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34080453", "locator": "sections[17] \"The Signature-Based Risk Score Acted as Independent Prognostic CRC Parameter\" paragraph 2", "quote": "The univariate and multivariate Cox regression analyses were confirmed in the TCGA cohort to determine if the eight-RBP risk signature were independent prognostic factors."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The source of gene expression profile and relevant clinical data were obtain from the Cancer Genome Atlas (TCGA) dataset.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34080453", "locator": "sections[3] \"Data Source and Preprocessing\" paragraph 2", "quote": "The source of gene expression profile and relevant clinical data were obtain from the Cancer Genome Atlas (TCGA) dataset."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:34080453"], "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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"section[13]/table-wrap[1]#table2-15330338211019504"}}, {"id": "asset:table:pmid:34080453:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:bc8387a2acdd39d31e032bfca00ca8afb590f7b7865720c3c484401dfa7bef2e", "bytes": 196, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[14]/table-wrap[1]#table3-15330338211019504", "version": null, "note": "The 8-Prognosis Hub RBPs.", "structure": {"pmcid": "PMC8182183", "section_index": 14, "section_title": "The Selection of Survival-Related Genes", "row_count": 0, "column_count": 0}, "table": {"label": "Table 3.", "caption": "The 8-Prognosis Hub RBPs.", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, "locator": "section[14]/table-wrap[1]#table3-15330338211019504"}}], "gaps": ["asset:data:geo:GSE38832 not downloaded", "asset:data:geo:GSE38832 licence not read"]}, "analysis": 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