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
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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":"{\"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}","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
摘要
背景:在许多癌症中,特定的亚型在特定的种族背景中更为普遍。然而,人们对特定分子类型脑肿瘤的种族分布知之甚少。公共数据储存库缺乏许多脑肿瘤亚型的数据,也缺乏使用当前世界卫生组织分类的诊断注释。更好地了解脑肿瘤在不同种族背景中的发病率可帮助人们深入了解肿瘤的易感性和发展,并提高预防水平:方法:我们回顾性分析了 1709 例原发性脑肿瘤的种族分布情况,这些肿瘤是利用临床验证的全基因组 DNA 甲基化技术按甲基化图谱分类的。自我报告的种族来自医疗记录。我们的队列包括82%的白人患者、10%的黑人患者和8%的亚裔患者,其中74%的患者报告了自己的种族:结果:特定类型脑肿瘤的种族分布存在明显差异。黑人在垂体腺瘤中所占比例过高(35%,P < .001),其中FSH/LH亚型所占比例最大。白人占所有垂体腺瘤患者的 47%,比例偏低(P < .001)。胶质母细胞瘤(GBM)IDH 野生型患者中白人占 90%(P P 结论):分子分类的脑肿瘤组和亚组在三大种族背景中显示出不同的分布,这表明种族对脑肿瘤的发展有一定的影响。
Racial distribution of molecularly classified brain tumors.
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.