{"doi":"10.1158/1055-9965.c.7380196","title":"Data from Molecular Subtypes of High-Grade Serous Ovarian Cancer across Racial Groups and Gene Expression Platforms","abstract":"<jats:p>&lt;div&gt;AbstractBackground:&lt;p&gt;High-grade serous carcinoma (HGSC) gene expression subtypes are associated with differential survival. We characterized HGSC gene expression in Black individuals and considered whether gene expression differences by self-identified race may contribute to poorer HGSC survival among Black versus White individuals.&lt;/p&gt;Methods:&lt;p&gt;We included newly generated RNA sequencing data from Black and White individuals and array-based genotyping data from four existing studies of White and Japanese individuals. We used K-means clustering, a method with no predefined number of clusters or dataset-specific features, to assign subtypes. Cluster- and dataset-specific gene expression patterns were summarized by moderated t-scores. We compared cluster-specific gene expression patterns across datasets by calculating the correlation between the summarized vectors of moderated t-scores. After mapping to The Cancer Genome Atlas–derived HGSC subtypes, we used Cox proportional hazards models to estimate subtype-specific survival by dataset.&lt;/p&gt;Results:&lt;p&gt;Cluster-specific gene expression was similar across gene expression platforms and racial groups. Comparing the Black population with the White and Japanese populations, the immunoreactive subtype was more common (39% vs. 23%–28%) and the differentiated subtype was less common (7% vs. 22%–31%). Patterns of subtype-specific survival were similar between the Black and White populations with RNA sequencing data; compared with mesenchymal cases, the risk of death was similar for proliferative and differentiated cases and suggestively lower for immunoreactive cases [Black population HR = 0.79 (0.55, 1.13); White population HR = 0.86 (0.62, 1.19)].&lt;/p&gt;Conclusions:&lt;p&gt;Although the prevalence of HGSC subtypes varied by race, subtype-specific survival was similar.&lt;/p&gt;Impact:&lt;p&gt;HGSC subtypes can be consistently assigned across platforms and self-identified racial groups.&lt;/p&gt;&lt;/div&gt;</jats:p>","journal":null,"year":2024,"id":2856,"datarank":0.11768407050438368,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.013711993420391862,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.013711993420391862,"corpus_percentile":28.397926819834456,"corpus_rank":9257,"citation_count":1,"citer_count":1,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.78,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-08-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":297,"name":"Mollie  E. Barnard","orcid":"0000-0002-4843-4655","position":1,"is_corresponding":false},{"id":298,"name":"Ariel A. Hippen Anderson","orcid":"0000-0001-9336-6543","position":2,"is_corresponding":false},{"id":299,"name":"Amy Campbell","orcid":"0000-0003-3676-2253","position":3,"is_corresponding":false},{"id":300,"name":"Courtney E. Johnson","orcid":"0000-0003-4980-3499","position":4,"is_corresponding":false},{"id":301,"name":"Gregory P. Way","orcid":"0000-0002-0503-9348","position":5,"is_corresponding":false},{"id":302,"name":"Brian K. Dalley","orcid":"0009-0003-9774-5200","position":6,"is_corresponding":false},{"id":303,"name":"Andrew Berchuck","orcid":"0000-0002-1940-1467","position":7,"is_corresponding":false},{"id":304,"name":"Lucas  A. Salas","orcid":"0000-0002-2279-4097","position":8,"is_corresponding":false},{"id":305,"name":"Lauren C. Peres","orcid":"0000-0002-6620-8600","position":9,"is_corresponding":false},{"id":306,"name":"Jeffrey  R. Marks","orcid":"0000-0002-2054-5468","position":10,"is_corresponding":false},{"id":307,"name":"Joellen M. Schildkraut","orcid":"0000-0002-0990-9339","position":11,"is_corresponding":false},{"id":308,"name":"Casey S. Greene","orcid":"0000-0001-8713-9213","position":12,"is_corresponding":false},{"id":309,"name":"Jennifer Anne Doherty","orcid":"0000-0002-1454-8187","position":13,"is_corresponding":false},{"id":296,"name":"Natalie R. Davidson","orcid":"0000-0002-1745-8072","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":"gold","license":"cc-by","views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}