Goedert James J, Swenson Luke C, Napolitano Laura A, Haddad Mojgan, Anastos Kathryn, Minkoff Howard, Young Mary, Levine Alexandra, Adeyemi Oluwatoyin, Seaberg Eric C, Aouizerat Bradley, Rabkin Charles S, Harrigan P Richard, Hessol Nancy A
*Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD; †British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada; ‡Monogram Biosciences, South San Francisco, CA; §Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY; ‖Maimonides Medical Center and State University of New York Health Sciences Center at Brooklyn, New York, NY; ¶Georgetown University School of Medicine, Washington, DC; #City of Hope National Medical Center, Duarte, CA; **Keck School of Medicine, University of Southern California, Los Angeles, CA; ††Departments of Medicine, Stroger Hospital and Rush University, Chicago, IL; ‡‡Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; §§Department of Physiological Nursing; and ‖‖The Institute for Human Genetics, University of California, San Francisco, CA; and Departments of ¶¶Clinical Pharmacy; and ##Medicine, University of California, San Francisco, CA.
J Acquir Immune Defic Syndr. 2015 Jan 1;68(1):30-5. doi: 10.1097/QAI.0000000000000400.
Evaluate the risk of female breast cancer associated with HIV-CXCR4 (X4) tropism as determined by various genotypic measures.
A breast cancer case-control study, with pairwise comparisons of tropism determination methods, was conducted. From the Women's Interagency HIV Study repository, one stored plasma specimen was selected from 25 HIV-infected cases near the breast cancer diagnosis date and 75 HIV-infected control women matched for age and calendar date. HIV-gp120 V3 sequences were derived by Sanger population sequencing (PS) and 454-pyro deep sequencing (DS). Sequencing-based HIV-X4 tropism was defined using the geno2pheno algorithm, with both high-stringency DS [false-positive rate (3.5) and 2% X4 cutoff], and lower stringency DS (false-positive rate, 5.75 and 15% X4 cutoff). Concordance of tropism results by PS, DS, and previously performed phenotyping was assessed with kappa (κ) statistics. Case-control comparisons used exact P values and conditional logistic regression.
In 74 women (19 cases, 55 controls) with complete results, prevalence of HIV-X4 by PS was 5% in cases vs 29% in controls (P = 0.06; odds ratio, 0.14; confidence interval: 0.003 to 1.03). Smaller case-control prevalence differences were found with high-stringency DS (21% vs 36%, P = 0.32), lower stringency DS (16% vs 35%, P = 0.18), and phenotyping (11% vs 31%, P = 0.10). HIV-X4 tropism concordance was best between PS and lower stringency DS (93%, κ = 0.83). Other pairwise concordances were 82%-92% (κ = 0.56-0.81). Concordance was similar among cases and controls.
HIV-X4 defined by population sequencing (PS) had good agreement with lower stringency DS and was significantly associated with lower odds of breast cancer.
评估通过各种基因型检测方法确定的与HIV-CXCR4(X4)嗜性相关的女性乳腺癌风险。
开展了一项乳腺癌病例对照研究,对嗜性确定方法进行成对比较。从妇女机构间HIV研究资料库中,在乳腺癌诊断日期附近从25例HIV感染病例中选取一份储存的血浆标本,并从75名年龄和日历日期匹配的HIV感染对照女性中选取一份。通过桑格群体测序(PS)和454焦磷酸深度测序(DS)获得HIV-gp120 V3序列。基于测序的HIV-X4嗜性使用geno2pheno算法定义,包括高严格度DS[假阳性率(3.5)和2% X4临界值]以及低严格度DS(假阳性率5.75和15% X4临界值)。用kappa(κ)统计评估PS、DS和先前进行的表型分析的嗜性结果一致性。病例对照比较采用确切P值和条件逻辑回归。
在74名有完整结果的女性(19例病例,55名对照)中,PS检测的HIV-X4患病率在病例组中为5%,在对照组中为29%(P = 0.06;比值比,0.14;置信区间:0.003至1.03)。高严格度DS(21%对36%,P = 0.32)、低严格度DS(16%对35%,P = 0.18)和表型分析(11%对31%,P = 0.10)的病例对照患病率差异较小。PS和低严格度DS之间的HIV-X4嗜性一致性最佳(93%,κ = 0.83)。其他成对一致性为82%-92%(κ = 0.56-0.81)。病例组和对照组之间的一致性相似。
通过群体测序(PS)定义的HIV-X4与低严格度DS有良好的一致性,并且与乳腺癌的较低发病几率显著相关。