Hao Huang, Russel Keathley, Ujin Kim, Horacio Cardenas, Ping Xie, Jianjun Wei, Ernst Lengyel, Kenneth P Nephew, Guangyuan Zhao, Zhen Fu, Emma L Barber, Masha Kocherginsky, Victoria Bae-Jump, Bin Zhang, Daniela Matei
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引用次数: 0
Abstract
Black women face the highest mortality-to-incidence ratio from high grade serous ovarian cancer (HGSOC). This study investigated biological differences in HGSOC tumors from Black vs. White women. HGSOC from 35 Black and 31 White patients were analyzed by Infinium Methyation-EPIC array and RNA sequencing. 191 CpG sites were differentially methylated (FDR < 0.05, β value change> 10%) and 277 genes were differentially expressed (FDR < 0.05). Gene Ontology identified enriched pathways related to DNA damage response, p53/apoptosis signaling, and cholesterol/lipid metabolism directly connected with genes like INSR, FOXA1 and FOXB1. INSR and FOXA1 knockdown enhanced cisplatin sensitivity and inhibited cell proliferation and colony formation. Tumors from Black patients were infiltrated by fewer CD4+ naïve and regulatory T-cells. Overall, differences in DNA methylation, transcriptomic profiles and immune cell infiltration were detected in tumors from Black vs. White patients. Further investigation is warranted into how these differences may affect treatment response and outcomes in Black women.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.