Summary: In order to accurately detect and prevent racial disparities, self-reported race (SRR) and ethnicity remain valuable tools; however, inaccurate capture of patient identity and broad aggregation of minoritized race groups present challenges for data interpretation. Also, although SRR is a proxy for shared social/cultural experience, it is not an accurate representation of shared endogenous factors. Biological investigations into cancer disparities, particularly those involving genetic features, should be framed in the context of genetic background or ancestry, as these are heritable aspects of population health. In reality, both genetics and environment work in concert to influence cancer risk and clinical outcomes. The best opportunity to define actionable means for reducing health disparities is in rigorous and comprehensive generation of rich data sets that characterize environmental, biological, and genetic components of disparate disease burden. To translate this pivotal disparities research into clinical tools and improved policies, we describe a diversity, equity, inclusion, and accessibility (DEIA) framework, which will increase participation from diverse backgrounds, reexamine previous research with a rigorous evaluation of appropriate SRR groupings, and engage community leaders to ensure that future research addresses the needs of communities at increased risk. On this path forward, we may finally end cancer disparities.

中文翻译：

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加强癌症健康差异研究的轨迹：改善多样性、公平性、包容性和可及性的临床应用

摘要：为了准确发现和防止种族差异，自我报告种族 (SRR) 和民族仍然是有价值的工具；然而，患者身份的不准确捕获和少数种族群体的广泛聚集给数据解释带来了挑战。此外，虽然 SRR 是共享社会/文化经验的代理，但它并不能准确表示共享的内生因素。对癌症差异的生物学研究，特别是涉及遗传特征的癌症差异，应在遗传背景或血统的背景下进行，因为这些是人口健康的遗传方面。事实上，遗传和环境共同影响癌症风险和临床结果。定义减少健康差异的可行方法的最佳机会是严格、全面地生成丰富的数据集，这些数据集描述了不同疾病负担的环境、生物和遗传组成部分。为了将这一关键差异研究转化为临床工具和改进的政策，我们描述了多样性、公平性、包容性和可及性（DEIA）框架，该框架将增加不同背景的参与，通过对适当的 SRR 分组进行严格评估来重新审查以前的研究，并让社区领袖参与进来，以确保未来的研究能够满足高风险社区的需求。在这条前进的道路上，我们最终可能会结束癌症差异。