Cancer stem cell associated eight gene-based signature predicts clinical outcomes of colorectal cancer.

{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30655785", "kind": "science-record", "revision": 3, "content_hash": "sha256:5f2bb1e9df0d47899ea7d6db98ddc2b1b7c3396fe2409b84a577b9aafa872c04", "created_at": "2026-11-01T17:32:34Z", "updated_at": "2026-11-01T21:21:54Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Cancer stem cell associated eight gene-based signature predicts clinical outcomes of colorectal cancer.", "doi": "10.3892/ol.2018.9533", "pmid": "30655785", "authors": ["Chuanpeng Dong", "Danni Cui", "Gang Liu", "Huilin Xu", "Xueqing Peng", "Juan Duan", "Lei Liu"], "journal": "Oncology letters", "year": 2019, "abstract": "Previous studies have suggested that cancer stem cells serve crucial functions in tumorigenesis, metastasis and therapy failure. Stem cell signaling transduction pathways are frequently dysregulated in cancer and associated with tumorigenesis, metastasis and the cell cycle, which are necessary for cancer proliferation. However, cancer stem cell-associated gene signatures have not been established for predicting patient outcomes in colorectal cancer. Using a gene-mining approach, the present study performed mRNA expression profiling in large colorectal cancer cohorts from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, including a TCGA colorectal cancer cohort (n=383) and three independent validation series GSE39582 (n=582), GSE17536 (n=177) and GSE17537 (n=55). The present study identified that an eight-gene signature in cancer stem cell signaling was associated with the overall survival and disease/recurrence-free survival of patients with colorectal. On the basis of this signature, patients in the TCGA training sets were divided into high-risk and low-risk subgroups with a significantly different overall survival rate (hazard ratio, 2.38; P=0.0005). The prognostic value of this signature was confirmed using three independent GEO colorectal cancer sets. Identifying this prognostic stem cell signaling signature may provide an efficient classification tool for clinical prognosis evaluation, and facilitate cancer stem cell-targeted therapy.", "claims": [{"id": "claim-method", "statement": "Using a gene-mining approach, the present study performed mRNA expression profiling in large colorectal cancer cohorts from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, including a TCGA colorectal cancer cohort (n=383) and three independent validation series GSE39582 (n=582), GSE17536 (n=177) and GSE17537 (n=55).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30655785", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Using a gene-mining approach, the present study performed mRNA expression profiling in large colorectal cancer cohorts from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, including a TCGA colorectal cancer cohort (n=383) and three independent validation series GSE39582 (n=582), GSE17536 (n=177) and GSE17537 (n=55)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Using a gene-mining approach, the present study performed mRNA expression profiling in large colorectal cancer cohorts from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, including a TCGA colorectal cancer cohort (n=383) and three independent validation series GSE39582 (n=582), GSE17536 (n=177) and GSE17537 (n=55).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30655785", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Using a gene-mining approach, the present study performed mRNA expression profiling in large colorectal cancer cohorts from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, including a TCGA colorectal cancer cohort (n=383) and three independent validation series GSE39582 (n=582), GSE17536 (n=177) and GSE17537 (n=55)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "An eight-gene cancer stem cell signaling signature was associated with overall survival and disease/recurrence-free survival in colorectal cancer.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:30655785", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The present study identified that an eight-gene signature in cancer stem cell signaling was associated with the overall survival and disease/recurrence-free survival of patients with colorectal."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "An eight-gene cancer stem cell signaling signature was associated with overall survival and disease/recurrence-free survival in colorectal cancer.", "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:30655785"], "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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