Abstract：
This commentary highlights a need for comprehensive measures of structural racism tailored to cancer health disparities, in particular Black-White disparities in multiple myeloma (MM). Recent political and social calls and advances in the ability to quantitate structural racism have led to rapidly growing research on the health consequences of structural racism. However, to date, most studies have used unidimensional measures of structural racism that do not capture cumulative influences or enable the identification of factors most responsible for driving disparities. Furthermore, measures may not reflect aspects of structural racism most relevant to underlying disease processes and risks. This study proposes a multifaceted approach to measuring structural racism relevant to MM that includes comprehensive, disease- and at-risk population-tailored social and environmental data and biomarkers of susceptibility and progression related to underlying biological changes associated with structural racism. Such novel measures of structural racism may improve the ability to assess the influence of structural racism on cancer health disparities, which may advance understanding of disease etiology and differences observed by racialized groups.
摘要：
本评论强调需要针对癌症健康差异采取全面的结构性种族主义措施，特别是多发性骨髓瘤（MM）的黑白差异。最近的政治和社会呼吁以及量化结构性种族主义能力的进步导致对结构性种族主义的健康后果的研究迅速增加。然而,到目前为止,大多数研究都使用了结构种族主义的一维措施，这些措施不能捕获累积的影响，也不能识别造成差异的主要原因。此外，措施可能无法反映与潜在疾病过程和风险最相关的结构性种族主义方面。本研究提出了一种多方面的方法来衡量与MM相关的结构性种族主义，包括全面的、疾病和风险人群定制的社会和环境数据以及与结构性种族主义相关的潜在生物学变化相关的易感性和进展的生物标志物。这种新的结构性种族主义措施可能会提高评估结构性种族主义对癌症健康差异影响的能力，这可能会促进对疾病病因和种族群体观察到的差异的理解。
