[Spindle assembly checkpoint complex-related genes TTK and MAD2L1 are over-expressed in lung adenocarcinoma: a big data and bioinformatics analysis].

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33118511", "kind": "science-record", "revision": 4, "content_hash": "sha256:a26b0928ebe33034d9a527b05a6f00abbfa1f8a6c24ac111aec3703bdeb20561", "created_at": "2026-11-01T17:34:15Z", "updated_at": "2026-11-01T22:02:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "[Spindle assembly checkpoint complex-related genes TTK and MAD2L1 are over-expressed in lung adenocarcinoma: a big data and bioinformatics analysis].", "doi": "10.12122/j.issn.1673-4254.2020.10.07", "pmid": "33118511", "authors": ["Zhu Liu", "Zeqin Guo", "Lili Long", "Yanpei Zhang", "Yuwen Lu", "Dehua Wu", "Zhongyi Dong"], "journal": "Nan fang yi ke da xue xue bao = Journal of Southern Medical University", "year": 2020, "abstract": "OBJECTIVE: To screen the key genes related to the prognosis of lung adenocarcinoma through big data analysis and explore their clinical value and potential mechanism.\nMETHODS: We analyzed GSE18842, GSE27262, and GSE33532 gene expression profile data obtained from the Gene Expression Omnibus (GEO). Bioinformatics methods were used to screen the differentially expressed genes in lung adenocarcinoma tissues and KEGG and GO enrichment analysis was performed, followed by PPI interaction network analysis, module analysis, differential expression analysis, and prognosis analysis. The expressions of MAD2L1 and TTK by immunohistochemistry were verified in 35 non-small cell lung cancer specimens and paired adjacent tissues.\nRESULTS: We identified a total of 256 genes that showed significant differential expressions in lung adenocarcinoma, including 66 up-regulated and 190 down-regulated genes. Thirty-two up-regulated core genes were screened by functional analysis, and among them 29 were shown to significantly correlate with a poor prognosis of patients with lung adenocarcinoma. All the 29 genes were highly expressed in lung adenocarcinoma tissues compared with normal lung tissues and were mainly enriched in cell cycle pathways. Seven of these key genes were closely related to the spindle assembly checkpoint (SAC) complex and responsible for regulating cell behavior in G2/M phase. We selected SAC-related proteins TTK and MAD2L1 to test their expressions in clinical tumor samples, and detected their overexpression in lung adenocarcinoma tissues as compared with the adjacent tissues.\nCONCLUSIONS: Seven SAC complex-related genes, including TTK and MAD2L1, are overexpressed in lung adenocarcinoma tissues with close correlation with the prognosis of the patients.", "claims": [{"id": "claim-method", "statement": "生物信息学方法筛选肿瘤组织和正常肺组织的差异表达基因，对其进行京都基因与基因组百科全书（KEGG）和基因本体论（GO）富集分析后进行蛋白质-蛋白质相互作用网络（PPI）、模组、表达差异和预后分析和筛选。", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33118511", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "生物信息学方法筛选肿瘤组织和正常肺组织的差异表达基因，对其进行京都基因与基因组百科全书（KEGG）和基因本体论（GO）富集分析后进行蛋白质-蛋白质相互作用网络（PPI）、模组、表达差异和预后分析和筛选。"}], "state": "complete"}, {"id": "claim-data-access", "statement": "基于基因表达综合数据库（GEO）中获得的GSE18842，GSE27262以及GSE33532基因表达谱进行数据分析；", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33118511", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "基于基因表达综合数据库（GEO）中获得的GSE18842，GSE27262以及GSE33532基因表达谱进行数据分析；"}], "state": "complete"}, {"id": "claim-target-result", "statement": "共有256个基因的表达谱数据有统计学差异（P < 0.05），包括66个上调基因，190个下调基因。", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "共有256个基因的表达谱数据有统计学差异（P < 0.05），包括66个上调基因，190个下调基因。"}, "evidence": [{"asset": "source:pmid:33118511", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "共有256个基因的表达谱数据有统计学差异（P < 0.05），包括66个上调基因，190个下调基因。"}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "共有256个基因的表达谱数据有统计学差异（P < 0.05），包括66个上调基因，190个下调基因。", "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:33118511"], "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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