Molecular and clinical characterization of TMEM71 expression at the transcriptional level in glioma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31180187", "kind": "science-record", "revision": 9, "content_hash": "sha256:7861253edf63bce098645563f84413742d86a0d486b6d5db25cf9912bdc15044", "created_at": "2026-11-01T15:40:45Z", "updated_at": "2026-11-01T22:44:00Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Molecular and clinical characterization of TMEM71 expression at the transcriptional level in glioma.", "doi": "10.1111/cns.13137", "pmid": "31180187", "authors": ["Kuan-Yu Wang", "Ruo-Yu Huang", "Xue-Zhi Tong", "Ke-Nan Zhang", "Yan-Wei Liu", "Fan Zeng", "Hui-Min Hu", "Tao Jiang"], "journal": "CNS neuroscience & therapeutics", "year": 2019, "abstract": "BACKGROUND: Glioma is the most common and aggressive type of primary brain tumor in adults. Although radiotherapy and chemotherapy are used in the treatment of glioma, survival remains unsatisfactory. Chemoresistance is one of the primary reasons for the poor prognosis of glioma. Several studies have demonstrated that glioma stem cells (GSC) may be one of the reasons for chemoresistance. In this article, we attempt to search for a new biomarker related to GSC and chemoresistance in glioma.\nMETHODS: We used three datasets (GSE23806, COSMIC, and CGGA) to search for the genes related to GSC, temozolomide (TMZ) resistance, and overall survival. The selected gene was investigated with respect to the relationship between mRNA levels and clinical characteristics in the CGGA and TCGA dataset. Gene ontology (GO) analysis was used for bioinformatics analysis. Kaplan-Meier survival analysis and Cox regression analysis were used for survival analysis.\nRESULTS: The transmembrane protein 71 (TMEM71) gene was selected for further research. TMEM71 was highly expressed in GSCs and TMZ-resistant cells. The TMEM71 mRNA levels increased with increasing grades of glioma. In IDH-wild-type and MGMT-unmethylated samples, TMEM71 was overexpressed. The TMEM71 transcript levels were also increased significantly in mesenchymal subtype gliomas. GO analysis demonstrated that TMEM71 was related to the immune and inflammatory responses, cell proliferation, cell migration, chemotaxis, and the response to drugs. Specifically, PD-1, PD-L1, TIM-3, and B7-H3 were tightly associated with TMEM71 expression. This result indicates that TMEM71 may play an important role in the immune response. More importantly, high expression of TMEM71 was correlated with short survival time in both glioma and glioblastoma patients.\nCONCLUSION: In summary, TMEM71 expression was increased in GBM and associated with immune response. Our study suggests that TMEM71 may function as an oncogene and serve as a new effective therapeutic target for the treatment of glioma.", "claims": [{"id": "claim-method", "statement": "KaplanssMeier survival analysis and univariate and multivariate Cox regression analysis were used for the survival analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31180187", "locator": "sections[5] \"Statistical analysis\" paragraph 2", "quote": "KaplanssMeier survival analysis and univariate and multivariate Cox regression analysis were used for the survival analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The Chinese Genome Atlas (CGGA) RNA sequencing dataset includes 325 samples of glioma RNA sequencing data, and clinical information was obtained from the publicly available website (http://www.cgga.org.cn). 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE16011"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE16011"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31180187", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1111/cns.13137", "sha256": "sha256:1d948185662a2aa6f900b312ba9d82f7d928d0b7076de2fcb6b826988b3164d1", "bytes": 29869, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1111/cns.13137", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6698980", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE16011", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16011", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE16011", "version": null, "note": "The Chinese Genome Atlas (CGGA) RNA sequencing dataset includes 325 samples of glioma RNA sequencing data, and clinical information was obtained from the publicly available website (http://www.cgga.org.cn). 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