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pmid:36761027
Exploitation of a shared genetic signature between obesity and endometrioid endometrial cancer.
Junyi Duan · Jiahong Yi · Yun Wang
Frontiers in surgery · 2023 doi:10.3389/fsurg.2023.1097642
Paper
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Experiment
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Data
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Analysis
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Complete file
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The purpose of this study was to explore the merits of establishing an obesity-related genes (ORGs) signature in the treatment and the prognostic assessment of EEC.\nMethods: Microarray data from GSE112307 were utilized to identify ORGs by using weighted gene co-expression network analysis. Based on the sequencing data from TCGA, we established the prognostic ORGs signature, confirmed its value as an independent risk factor, and constructed a nomogram. We further investigated the association between grouping based on ORGs signature and clinicopathological characteristics, immune infiltration, tumor mutation burden and drug sensitivity.\nResults: A total of 10 ORGs were identified as key genes for the construction of the signature. According to the ORGs score computed from the signature, EEC patients were divided into high and low-scoring groups. Overall survival (OS) was shorter in EEC patients in the high-scoring group compared with the low-scoring group (P < 0.001). The results of the Cox regression analysis showed that ORGs score was an independent risk factor for OS in EEC patients (HR = 1.017, 95% confidence interval = 1.011-1.023; P < 0.001). We further revealed significant disparities between scoring groups in terms of clinical characteristics, tumor immune cell infiltration, and tumor mutation burden. Patients in the low-scoring group may be potential beneficiaries of immunotherapy and targeted therapies.\nConclusions: The ORGs signature established in this study has promising prognostic predictive power and may be a useful tool for the selection of EEC patients who benefit from immunotherapy and targeted therapies.", "claims": [{"id": "claim-method", "statement": "In this study, WGCNA was used to identify gene modules associated with obesity and was implemented using the limma and WGCNA R packages.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36761027", "locator": "sections[4] \"Identification of ORGs\" paragraph 2", "quote": "In this study, WGCNA was used to identify gene modules associated with obesity and was implemented using the limma and WGCNA R packages."}], "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 author/s.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36761027", "locator": "sections[21] \"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 author/s."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The ORGs score was an independent risk factor for overall survival in endometrioid endometrial cancer patients, with higher scores associated with shorter overall survival.", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "The results of the Cox regression analysis showed that ORGs score was an independent risk factor for OS in EEC patients (HR = 1.017, 95% confidence interval = 1.011–1.023; P < 0.001)."}, "evidence": [{"asset": "source:pmid:36761027", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "The results of the Cox regression analysis showed that ORGs score was an independent risk factor for OS in EEC patients (HR = 1.017, 95% confidence interval = 1.011–1.023; P < 0.001)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "The ORGs score was an independent risk factor for overall survival in endometrioid endometrial cancer patients, with higher scores associated with shorter overall survival.", "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:36761027"], "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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