Immune-related signature predicts the prognosis and immunotherapy benefit in bladder cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32841548", "kind": "science-record", "revision": 7, "content_hash": "sha256:663c1a5d06d9f97fa0c65d4afcdd8e4b8e2d3898295a2df7662868ae2ec8f9ef", "created_at": "2026-11-01T15:41:08Z", "updated_at": "2026-11-01T22:02:04Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Immune-related signature predicts the prognosis and immunotherapy benefit in bladder cancer.", "doi": "10.1002/cam4.3400", "pmid": "32841548", "authors": ["Yejinpeng Wang", "Liang Chen", "Mengxue Yu", "Yayun Fang", "Kaiyu Qian", "Gang Wang", "Lingao Ju", "Yu Xiao", "Xinghuan Wang"], "journal": "Cancer medicine", "year": 2020, "abstract": "BACKGROUND: There is no good prognostic model that could predict the prognosis of bladder cancer (BCa) and the benefit of immunotherapy.\nMETHODS: Through the least absolute shrinkage and selection operator (LASSO) algorithm, we constructed a 13-mRNA immune signature from the TCGA cohort (n = 406). We validated its prognostic value and predictive value for the benefit of immunotherapy with four independent validation cohort (GSE13507 [n = 256], GSE31684 [n = 93], GSE32894 [n = 308], and IMvigor210 cohort [n = 298]).\nRESULTS: Our results indicating that high-risk group with higher inhibitory immune cell infiltration (regulatory T cells [Tregs] and macrophage, etc), higher expression of immune checkpoints, and more T cell suppressive pathways (transforming growth factor β [TGF-β], epithelial-mesenchymal transition [EMT], etc) were activated. Besides, the immune signature showed a good predictive value for the benefit of immunotherapy in a cohort of urothelial carcinoma patients treated with PD-L1.\nCONCLUSIONS: The immune signature constructed is convenient to classify the immunotherapeutic susceptibility of patients with BCa, so as to achieve precision immunotherapy for BCa.", "claims": [{"id": "claim-method", "statement": "The R package of “glmnet” was used to construct LASSO Cox regression analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32841548", "locator": "sections[12] \"Construction of immune signature\" paragraph 2", "quote": "The R package of “glmnet” was used to construct LASSO Cox regression analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "RNA‐sequencing (RNA‐seq) and somatic mutation data of the TCGA database can be downloaded from UCSC Xena website (https://gdc.xenahubs.net). All the microarrays data can be downloaded from the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo/). The IMvigor210 cohort was downloaded from the website: http://research‐pub.gene.com/IMvigor210CoreBiologies.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32841548", "locator": "sections[27] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "RNA‐sequencing (RNA‐seq) and somatic mutation data of the TCGA database can be downloaded from UCSC Xena website (https://gdc.xenahubs.net). All the microarrays data can be downloaded from the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo/). The IMvigor210 cohort was downloaded from the website: http://research‐pub.gene.com/IMvigor210CoreBiologies."}], "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:32841548"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE13507"], "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:GSE13507"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32841548", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1002/cam4.3400", "sha256": "sha256:120a6e2cac8edb1fff5de727b72a7e3e2b5c3978662c67c9bf8767375ae41477", "bytes": 40518, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1002/cam4.3400", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7571842", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE13507", "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=GSE13507", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE13507", "version": null, "note": "RNA‐sequencing (RNA‐seq) and somatic mutation data of the TCGA database can be downloaded from UCSC Xena website (https://gdc.xenahubs.net). All the microarrays data can be downloaded from the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo/). The IMvigor210 cohort was downloaded from the website: http://research‐pub.gene.com/IMvigor210CoreBiologies.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "RNA‐sequencing (RNA‐seq) and somatic mutation data of the TCGA database can be downloaded from UCSC Xena website (https://gdc.xenahubs.net). All the microarrays data can be downloaded from the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo/). 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