LRRC superfamily expression in stromal cells predicts the clinical prognosis and platinum resistance of ovarian cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36653841", "kind": "science-record", "revision": 4, "content_hash": "sha256:ee6bba65d3447a057c6159130e0af7424113a0d76be8b491d6b3aacc06808352", "created_at": "2026-11-01T19:01:12Z", "updated_at": "2026-11-01T22:51:03Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "LRRC superfamily expression in stromal cells predicts the clinical prognosis and platinum resistance of ovarian cancer.", "doi": "10.1186/s12920-023-01435-9", "pmid": "36653841", "authors": ["Xiaoying Zhu", "Shijing You", "Xiuzhen Du", "Kejuan Song", "Teng Lv", "Han Zhao", "Qin Yao"], "journal": "BMC medical genomics", "year": 2023, "abstract": "BACKGROUND: Leucine-rich repeat sequence domains are known to mediate protein‒protein interactions. Recently, some studies showed that members of the leucine rich repeat containing (LRRC) protein superfamily may become new targets for the diagnosis and treatment of tumours. However, it is not known whether any of the LRRC superfamily genes is expressed in the stroma of ovarian cancer (OC) and is associated with prognosis.\nMETHODS: The clinical data and transcriptional profiles of OC patients from the public databases TCGA (n = 427), GTEx (n = 88) and GEO (GSE40266 and GSE40595) were analysed by R software. A nomogram model was also generated through R. An online public database was used for auxiliary analysis of prognosis, immune infiltration and protein‒protein interaction (PPI) networks. Immunohistochemistry and qPCR were performed to determine the protein and mRNA levels of genes in high-grade serous ovarian cancer (HGSC) tissues of participants and the MRC-5 cell line induced by TGF-β.\nRESULTS: LRRC15 and LRRC32 were identified as differentially expressed genes from the LRRC superfamily by GEO transcriptome analysis. PPI network analysis suggested that they were most enriched in TGF-β signalling. The TCGA-GTEx analysis results showed that only LRRC15 was highly expressed in both cancer-associated fibroblasts (CAFs) and the tumour stroma of OC and was related to clinical prognosis. Based on this, we developed a nomogram model to predict the incidence of adverse outcomes in OC. Moreover, LRRC15 was positively correlated with CAF infiltration and negatively correlated with CD8 + T-cell infiltration. As a single indicator, LRRC15 had the highest accuracy (AUC = 0.920) in predicting the outcome of primary platinum resistance.\nCONCLUSIONS: The LRRC superfamily is related to the TGF-β pathway in the microenvironment of OC. LRRC15, as a stromal biomarker, can predict the clinical prognosis of HGSC and promote the immunosuppressive microenvironment. LRRC15 may be a potential therapeutic target for reversing primary resistance in OC.", "claims": [{"id": "claim-method", "statement": "The differentially expressed genes (DEGs) were downloaded as raw signals from Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) under the accession numbers GSE40266 and GSE40595, interpreted, normalized and log2 scaled by R software (4.4.2) using the limma package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36653841", "locator": "sections[3] \"Public databases analysis\" paragraph 2", "quote": "The differentially expressed genes (DEGs) were downloaded as raw signals from Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) under the accession numbers GSE40266 and GSE40595, interpreted, normalized and log2 scaled by R software (4.4.2) using the limma package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article. The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36653841", "locator": "sections[27] \"Availability of data and materials\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article. The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "LRRC15 had the highest accuracy as a single indicator for predicting primary platinum resistance in ovarian cancer, with an AUC of 0.920.", "kind": "quantitative", "target": {"value": 0.92, "unit": "auc", "tolerance": null, "source": "As a single indicator, LRRC15 had the highest accuracy (AUC = 0.920) in predicting the outcome of primary platinum resistance."}, "evidence": [{"asset": "source:pmid:36653841", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "As a single indicator, LRRC15 had the highest accuracy (AUC = 0.920) in predicting the outcome of primary platinum resistance."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "LRRC15 had the highest accuracy as a single indicator for predicting primary platinum resistance in ovarian cancer, with an AUC of 0.920.", "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:36653841"], "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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