Caan Bette J, Sweeney Carol, Habel Laurel A, Kwan Marilyn L, Kroenke Candyce H, Weltzien Erin K, Quesenberry Charles P, Castillo Adrienne, Factor Rachel E, Kushi Lawrence H, Bernard Philip S
Authors' Affiliations: Division of Research, Kaiser Permanente Northern California, Oakland, California; Department of Internal Medicine, Division of Epidemiology; Huntsman Cancer Institute, University of Utah; and The Associated Regional and University Pathologist Institute for Clinical and Experimental Pathology, Salt Lake City, Utah.
Cancer Epidemiol Biomarkers Prev. 2014 May;23(5):725-34. doi: 10.1158/1055-9965.EPI-13-1017. Epub 2014 Feb 12.
The PAM50, a gene expression assay to categorize breast tumors into intrinsic subtypes, has not been previously used to examine short- and long-term prognostication in a population-based cohort where treatment patterns and time of initial follow-up vary.
In a stratified case-cohort design of 1,691 women from the LACE and Pathways breast cancer survivor cohorts, we used PAM50 to categorize tumors into Luminal A (LumA), Luminal B (LumB), HER2-enriched (HER2-E), Basal-like and Normal-like, and to examine risk of early and late recurrence and mortality by Cox proportional hazards regression.
Compared with LumA, cumulative risk of recurrence and breast cancer death was higher for LumB, HER2-E, and Basal-like tumors at 2, 5, and 10 years. However, HR of breast cancer death varied over time [<5 years (early) vs. > 5 years (late)] for both Basal-like (HR, 6.23 early vs. HR, 0.63 late) and HER2-E tumors (HR, 2.97 early vs. HR, 0.73 late) but not for LumB tumors where risk was elevated consistently (HR, 2.67 early vs. HR, 1.47 late). The contrast between LumB, HER2-E, and Basal-like compared with LumA on early recurrence was stronger when subtype was defined by PAM50 than by immunohistochemistry (IHC) markers.
The PAM50 categorized intrinsic subtypes in a manner that more accurately predicts recurrence and survival, especially for luminal tumors, compared with commonly used methods that rely on traditional IHC clinical markers.
The PAM50 is robust for use in epidemiologic studies and should be considered when archived tumor tissues are available.
PAM50是一种用于将乳腺肿瘤分类为内在亚型的基因表达检测方法,此前尚未用于在治疗模式和初始随访时间各不相同的基于人群的队列中研究短期和长期预后。
在一项来自LACE和Pathways乳腺癌幸存者队列的1691名女性的分层病例队列设计中,我们使用PAM50将肿瘤分类为管腔A型(LumA)、管腔B型(LumB)、HER2富集型(HER2-E)、基底样型和正常样型,并通过Cox比例风险回归分析早期和晚期复发及死亡风险。
与LumA相比,LumB、HER2-E和基底样型肿瘤在2年、5年和10年时的累积复发风险和乳腺癌死亡风险更高。然而,基底样型(早期风险比为6.23,晚期为0.63)和HER2-E肿瘤(早期风险比为2.97,晚期为0.73)的乳腺癌死亡风险比随时间变化[<5年(早期)与>5年(晚期)],而LumB肿瘤的风险则持续升高(早期风险比为2.67,晚期为1.47)。当用PAM50定义亚型时,LumB、HER2-E和基底样型与LumA在早期复发方面的差异比用免疫组织化学(IHC)标志物定义时更强。
与依赖传统IHC临床标志物的常用方法相比,PAM50对内在亚型的分类方式能更准确地预测复发和生存,尤其是对于管腔型肿瘤。
PAM50在流行病学研究中应用可靠,当有存档肿瘤组织时应予以考虑。