A novel T-cell proliferation-associated regulator signature pre-operatively predicted the prognostic of bladder cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36211359", "kind": "science-record", "revision": 4, "content_hash": "sha256:93887b7d903c9dee3e54f804f644e233cc99f2bca5e6177edaa1cabf9ac47d5c", "created_at": "2026-11-01T18:15:32Z", "updated_at": "2026-11-01T22:07:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A novel T-cell proliferation-associated regulator signature pre-operatively predicted the prognostic of bladder cancer.", "doi": "10.3389/fimmu.2022.970949", "pmid": "36211359", "authors": ["Jian Hou", "Xiangyang Wen", "Zhenquan Lu", "Guoqing Wu", "Guang Yang", "Cheng Tang", "Genyi Qu", "Yong Xu"], "journal": "Frontiers in immunology", "year": 2022, "abstract": "Background: Bladder cancer (BCa) is a remarkably malignant and heterogeneous neoplastic disease, and its prognosis prediction is still challenging. Even with the mounting researches on the mechanisms of tumor immunotherapy, the prognostic value of T-cell proliferation regulators in bladder cancer remains elusive.\nMethods: Herein, we collected mRNA expression profiles and relevant clinical information of bladder cancer sufferers from a publicly available data base. Then, the LASSO Cox regression model was utilized to establish a multi-gene signature for the TCGA cohort to predict the prognosis and staging of bladder cancer. Eventually, the predictive power of the model was validated by randomized grouping.\nResults: The outcomes revealed that most genes related to T-cell proliferation in the TCGA cohort exhibited different expressions between BCa cells and neighboring healthy tissues. Univariable Cox regressive analyses showed that four DEGs were related to OS in bladder cancer patients (p<0.05). We constructed a histogram containing four clinical characteristics and separated sufferers into high- and low-risk groups. High-risk sufferers had remarkably lower OS compared with low-risk sufferers (P<0.001). Eventually, the predictive power of the signature was verified by ROC curve analyses, and similar results were obtained in the validation cohort. Functional analyses were also completed, which showed the enrichment of immune-related pathways and different immune status in the two groups. Moreover, by single-cell sequencing, our team verified that CXCL12, a T-lymphocyte proliferation regulator, influenced bladder oncogenesis and progression by depleting T-lymphocyte proliferation in the tumor microenvironment, thus promoting tumor immune evasion.\nConclusion: This study establishes a novel T cell proliferation-associated regulator signature which can be used for the prognostic prediction of bladder cancer. The outcomes herein facilitate the studies on T-cell proliferation and its immune micro-environment to ameliorate prognoses and immunotherapeutic responses.", "claims": [{"id": "claim-method", "statement": "Then, the LASSO Cox regression model was utilized to establish a multi-gene signature for the TCGA cohort to predict the prognosis and staging of bladder cancer.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36211359", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Then, the LASSO Cox regression model was utilized to establish a multi-gene signature for the TCGA cohort to predict the prognosis and staging of bladder cancer."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. 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The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material ."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The four-gene prognostic risk model achieved an AUC of 0.759 at 1 year, 0.664 at 3 years, and 0.712 at 5 years in the training cohort.", "kind": "quantitative", "target": {"value": 0.759, "unit": "auc", "tolerance": null, "source": "The prediction ability of the risk scoring for OS, assessed by the ROC curve, reached an AUC of 0.759 at 1 year, 0.664 at 3 years and 0.712 at 5 years in the training group over time ( Figures 4G, I )."}, "evidence": [{"asset": "source:pmid:36211359", "locator": "sections[15] \"Establishment of a prognosis model in TCGA cohort\" paragraph 2", "quote": "The prediction ability of the risk scoring for OS, assessed by the ROC curve, reached an AUC of 0.759 at 1 year, 0.664 at 3 years and 0.712 at 5 years in the training group over time ( Figures 4G, I )."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "The four-gene prognostic risk model achieved an AUC of 0.759 at 1 year, 0.664 at 3 years, and 0.712 at 5 years in the training cohort.", "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:36211359"], "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": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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