Autophagy-related gene expression is an independent prognostic indicator of glioma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:28977840", "kind": "science-record", "revision": 8, "content_hash": "sha256:374356d4decbcd8dfa2f12c21909398455373a98d05849f7f346332240caca03", "created_at": "2026-11-01T15:40:28Z", "updated_at": "2026-11-01T21:59:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Autophagy-related gene expression is an independent prognostic indicator of glioma.", "doi": "10.18632/oncotarget.17719", "pmid": "28977840", "authors": ["Huixue Zhang", "Xiaoyan Lu", "Ning Wang", "Jianjian Wang", "Yuze Cao", "Tianfeng Wang", "Xueling Zhou", "Yang Jiao", "Lei Yang", "Xiaokun Wang", "Lin Cong", "Jianlong Li", "Jie Li", "He-Ping Ma", "Yonghui Pan", "Shangwei Ning", "Lihua Wang"], "journal": "Oncotarget", "year": 2017, "abstract": "In this study, we identified 74 differentially expressed autophagy-related genes in glioma patients. Analysis using a Cox proportional hazard regression model showed that MAPK8IP1 and SH3GLB1, two autophagy-related genes, were associated with the prognostic signature for glioma. Glioma patients from the CGGA batches 1 and 2, GSE4412 and TCGA datasets could be divided into high- and low-risk groups with different survival times based on levels of MAPK8IP1 and SH3GLB1 expression. The autophagy-related signature was an independent predictor of survival outcomes in glioma patients. MAPK8IP1 overexpression and SH3GLB1 knockdown inhibited glioma cell proliferation, migration and invasion, and improved Temozolomide sensitivity. These findings suggest autophagy-related genes like MAPK8IP1 and SH3GLB1 could be potential therapeutic targets in glioma.", "claims": [{"id": "claim-method", "statement": "The Kaplan-Meier method was used to estimate overall survival. The differences in survival between high- and the low-risk patients was analyzed by two-sided log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:28977840", "locator": "sections[18] \"Glioma patient survival analysis\" paragraph 3", "quote": "The Kaplan-Meier method was used to estimate overall survival. The differences in survival between high- and the low-risk patients was analyzed by two-sided log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The mRNA microarray of glioma samples and their clinical information was obtained from the Chinese Glioma Genome Atlas (CGGA, http://www.cgga.org.cn/) [47]. The mRNA microarray of CGGA, produced by Agilent Whole Human Genome Array was divided into two batches.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:28977840", "locator": "sections[14] \"The Chinese Glioma Genome Atlas datasets\" paragraph 2", "quote": "The mRNA microarray of glioma samples and their clinical information was obtained from the Chinese Glioma Genome Atlas (CGGA, http://www.cgga.org.cn/) [47]. The mRNA microarray of CGGA, produced by Agilent Whole Human Genome Array was divided into two batches."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study used Cox proportional hazard regression to identify an autophagy-related prognostic signature comprising MAPK8IP1 and SH3GLB1, and evaluated it in CGGA batches 1 and 2, GSE4412, and TCGA glioma datasets.", "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:28977840"], "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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