Camila S Fang, Wanyi Wang, Chanel Schroff, Misha Movahed-Ezazi, Varshini Vasudevaraja, Jonathan Serrano, Erik P Sulman, John G Golfinos, Daniel Orringer, Kristyn Galbraith, Yang Feng, Matija Snuderl
{"title":"Racial distribution of molecularly classified brain tumors.","authors":"Camila S Fang, Wanyi Wang, Chanel Schroff, Misha Movahed-Ezazi, Varshini Vasudevaraja, Jonathan Serrano, Erik P Sulman, John G Golfinos, Daniel Orringer, Kristyn Galbraith, Yang Feng, Matija Snuderl","doi":"10.1093/noajnl/vdae135","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In many cancers, specific subtypes are more prevalent in specific racial backgrounds. However, little is known about the racial distribution of specific molecular types of brain tumors. Public data repositories lack data on many brain tumor subtypes as well as diagnostic annotation using the current World Health Organization classification. A better understanding of the prevalence of brain tumors in different racial backgrounds may provide insight into tumor predisposition and development, and improve prevention.</p><p><strong>Methods: </strong>We retrospectively analyzed the racial distribution of 1709 primary brain tumors classified by their methylation profiles using clinically validated whole genome DNA methylation. Self-reported race was obtained from medical records. Our cohort included 82% White, 10% Black, and 8% Asian patients with 74% of patients reporting their race.</p><p><strong>Results: </strong>There was a significant difference in the racial distribution of specific types of brain tumors. Blacks were overrepresented in pituitary adenomas (35%, <i>P</i> < .001), with the largest proportion of FSH/LH subtype. Whites were underrepresented at 47% of all pituitary adenoma patients (<i>P</i> < .001). Glioblastoma (GBM) IDH wild-type showed an enrichment of Whites, at 90% (<i>P</i> < .001), and a significantly smaller percentage of Blacks, at 3% (<i>P</i> < .001).</p><p><strong>Conclusions: </strong>Molecularly classified brain tumor groups and subgroups show different distributions among the three main racial backgrounds suggesting the contribution of race to brain tumor development.</p>","PeriodicalId":94157,"journal":{"name":"Neuro-oncology advances","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11362849/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/noajnl/vdae135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: In many cancers, specific subtypes are more prevalent in specific racial backgrounds. However, little is known about the racial distribution of specific molecular types of brain tumors. Public data repositories lack data on many brain tumor subtypes as well as diagnostic annotation using the current World Health Organization classification. A better understanding of the prevalence of brain tumors in different racial backgrounds may provide insight into tumor predisposition and development, and improve prevention.
Methods: We retrospectively analyzed the racial distribution of 1709 primary brain tumors classified by their methylation profiles using clinically validated whole genome DNA methylation. Self-reported race was obtained from medical records. Our cohort included 82% White, 10% Black, and 8% Asian patients with 74% of patients reporting their race.
Results: There was a significant difference in the racial distribution of specific types of brain tumors. Blacks were overrepresented in pituitary adenomas (35%, P < .001), with the largest proportion of FSH/LH subtype. Whites were underrepresented at 47% of all pituitary adenoma patients (P < .001). Glioblastoma (GBM) IDH wild-type showed an enrichment of Whites, at 90% (P < .001), and a significantly smaller percentage of Blacks, at 3% (P < .001).
Conclusions: Molecularly classified brain tumor groups and subgroups show different distributions among the three main racial backgrounds suggesting the contribution of race to brain tumor development.