Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36188226", "kind": "science-record", "revision": 4, "content_hash": "sha256:ba38159229f16b6b57be9d3e471d36efbcb5bc0a34427bf8f2502f8af2343a1e", "created_at": "2026-11-01T18:15:29Z", "updated_at": "2026-11-01T22:50:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prognostic and immunotherapeutic significance of mannose receptor C type II in 33 cancers: An integrated analysis.", "doi": "10.3389/fmolb.2022.951636", "pmid": "36188226", "authors": ["Zhixun Zhao", "Yanwei Yang", "Zheng Liu", "Haipeng Chen", "Xu Guan", "Zheng Jiang", "Ming Yang", "Hengchang Liu", "Tianli Chen", "Yibo Gao", "Shuangmei Zou", "Xishan Wang"], "journal": "Frontiers in molecular biosciences", "year": 2022, "abstract": "Background: The type 2 mannose receptor C (MRC2) is involved in tumor biological processes and plays a new role in the remodeling of the extracellular matrix turnover. Previous studies have demonstrated MRC2 expression profiling and prognostic relevance in some tumor types. However, the clinical and immunotherapeutic value of MRC2 in pan-cancers remains controversial. Our study aimed to evaluate MRC2 expression pattern, clinical characteristics and prognostic significance in 33 cancers, explore the relationship between MRC2 and immune-related characteristics, and assess the prediction of MRC2 for the immunotherapeutic response. Methods: Transcriptional and clinical data of 33 cancers were downloaded from The Cancer Genome Atlas database (TCGA) database and two independent immunotherapeutic cohorts were obtained from GSE67501 and the IMvigor210 study. Next, patients stratified by MRC2 expression levels were displayed by Kaplan-Meier plot to compare prognosis-related indexes. Meanwhile, immune infiltrates of different cancers were estimated by tumor immune estimation resources (TIMER) and CIBERSORT. The ESTIMATE algorithm was used to estimate the immune and stromal scores in tumor tissues. MRC2 expression and immunological modulators, including immune inhibitors, immune stimulators, and MHC molecules, were screened through the TISIDB portal. Gene-set enrichment analysis analyses were performed to explore the underlying biological process of MRC2 across different cancers. The immunotherapeutic response prediction was performed in two independent cohorts (GSE78220: metastatic melanoma with pembrolizumab treatment and IMvigor210: advanced urothelial cancer with atezolizumab intervention). Results: MRC2 is expressed differently in many cancers and has been shown to have potential prognostic predicting significance. MRC2 was significantly associated with immune cell infiltration, immune modulators, and immunotherapeutic markers. Notably, the immunotherapeutic response group was associated with lower MRC2 expression in metastatic melanoma and advanced urothelial carcinoma cohort. Conclusion: This study demonstrated that MRC2 could be a prognostic indicator for certain cancer and is critical for tumor immune microenvironments. MRC2 expression level may influence and predict immune checkpoint blockade response as a potential indicator.", "claims": [{"id": "claim-method", "statement": "Survival rates were analyzed using the KM curves, log-rank tests, and Cox proportional hazard regression model models.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36188226", "locator": "sections[8] \"Statistical analysis\" paragraph 2", "quote": "Survival rates were analyzed using the KM curves, log-rank tests, and Cox proportional hazard regression model models."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36188226", "locator": "sections[18] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "MRC2 expression was negatively associated with survival in many tumor types, including ACC, BLCA, GBM, KICH, KIRC, LAML, LGG, OV, and UVM.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36188226", "locator": "sections[11] \"Correlation of MRC2 expression level and prognosis in 33 cancers\" paragraph 2", "quote": "Taken all together, MRC2 expression was negatively associated with survival in many tumor types, including ACC, BLCA, GBM, KICH, KIRC, LAML, LGG, OV, and UVM."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "MRC2 expression was negatively associated with survival in many tumor types, including ACC, BLCA, GBM, KICH, KIRC, LAML, LGG, OV, and UVM.", "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:36188226"], "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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