Breast Cancer Prognosis Prediction and Immune Pathway Molecular Analysis Based on Mitochondria-Related Genes.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35707265", "kind": "science-record", "revision": 5, "content_hash": "sha256:ccbf59ed014a747755ba1a0776ec34563e3098a373a84495b792346489b6c320", "created_at": "2026-11-01T18:14:40Z", "updated_at": "2026-11-01T22:49:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Breast Cancer Prognosis Prediction and Immune Pathway Molecular Analysis Based on Mitochondria-Related Genes.", "doi": "10.1155/2022/2249909", "pmid": "35707265", "authors": ["Weixu Luo", "Yuanshan Han", "Xin Li", "Zhuo Liu", "Pan Meng", "Yuhong Wang"], "journal": "Genetics research", "year": 2022, "abstract": "Background: Mitochondria play an important role in breast cancer (BRCA). We aimed to build a prognostic model based on mitochondria-related genes.\nMethod: Univariate Cox regression analysis, random forest, and the LASSO method were performed in sequence on pretreated TCGA BRCA datasets to screen out genes from a Gene Set Enrichment Analysis, Gene Ontology: biological process gene set to build a prognosis risk score model. Survival analyses and ROC curves were performed to verify the model by using the GSE103091 dataset. The BRCA datasets were equally divided into high- and low-risk score groups. Comparisons between clinical features and immune infiltration related to different risk scores and gene mutation analysis and drug sensitivity prediction were performed for different groups.\nResult: Four genes, MRPL36, FEZ1, BMF, and AFG1L, were screened to construct our risk score model in which the higher the risk score, the poorer the prognosis. Univariate and multivariate analyses showed that the risk score was significantly associated with age, M stage, and N stage. The gene mutation probability in the high-risk score group was significantly higher than that in the low-risk score group. Patients with higher risk scores were more likely to die. Drug sensitivity prediction in different groups indicated that PF-562271 and AS601245 might be new inhibitors of BRCA.\nConclusion: We developed a new workable risk score model based on mitochondria-related genes for BRCA prognosis and identified new targets and drugs for BRCA research.", "claims": [{"id": "claim-method", "statement": "Taking the risk score as one of the factors, univariate and multivariate Cox analyses were carried out with different clinical features, such as age or stage, as the other factor, to investigate the relationships between the risk score and each of these features.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35707265", "locator": "sections[5] \"2.3. Relationship between Clinical Features and Patient Risk Scores, and Mutation Analysis\" paragraph 2", "quote": "Taking the risk score as one of the factors, univariate and multivariate Cox analyses were carried out with different clinical features, such as age or stage, as the other factor, to investigate the relationships between the risk score and each of these features."}], "state": "complete"}, {"id": "claim-data-access", "statement": "TCGA Breast Cancer (BRCA) datasets (https://xenabrowser.net/) and GSE103091 were used to support this study.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35707265", "locator": "sections[19] \"Data Availability\" paragraph 2", "quote": "TCGA Breast Cancer (BRCA) datasets (https://xenabrowser.net/) and GSE103091 were used to support this study."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study established a four-gene mitochondrial risk-score model for breast cancer prognosis, with higher risk scores associated with worse prognosis and one- and three-year ROC AUC values above 0.75.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35707265", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "the higher the risk score, the poorer the prognosis."}, {"asset": "source:pmid:35707265", "locator": "sections[11] \"3.2. Prognosis Prediction of Different Risk Scores\" paragraph 2", "quote": "Moreover, the ROC curves in Figures 2(c) and 2(f) show that the AUC values for one and three years were higher than 0.75, indicating that the risk score model was workable."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study established a four-gene mitochondrial risk-score model for breast cancer prognosis, with higher risk scores associated with worse prognosis and one- and three-year ROC AUC values above 0.75.", "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:35707265"], "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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