Reproductive profiles and risk of breast cancer subtypes: a multi-center case-only study.
Reproductive profiles and risk of breast cancer subtypes: a multi-center case-only study.
复制标题
DOI：
10.1186/s13058-017-0909-3
复制
发表时间：
2017-11-07
期刊：
影响因子：
--
通讯作者：
Neven P
中科院分区：
文献类型：
--
作者：
Brouckaert O;Rudolph A;Laenen A;Keeman R;Bolla MK;Wang Q;Soubry A;Wildiers H;Andrulis IL;Arndt V;Beckmann MW;Benitez J;Blomqvist C;Bojesen SE;Brauch H;Brennan P;Brenner H;Chenevix-Trench G;Choi JY;Cornelissen S;Couch FJ;Cox A;Cross SS;Czene K;Eriksson M;Fasching PA;Figueroa J;Flyger H;Giles GG;González-Neira A;Guénel P;Hall P;Hollestelle A;Hopper JL;Ito H;Jones M;Kang D;kConFab;Knight JA;Kosma VM;Li J;Lindblom A;Lilyquist J;Lophatananon A;Mannermaa A;Manoukian S;Margolin S;Matsuo K;Muir K;Nevanlinna H;Peterlongo P;Pylkäs K;Saajrang S;Seynaeve C;Shen CY;Shu XO;Southey MC;Swerdlow A;Teo SH;Tollenaar RAEM;Truong T;Tseng CC;van den Broek AJ;van Deurzen CHM;Winqvist R;Wu AH;Yip CH;Yu JC;Zheng W;Milne RL;Pharoah PDP;Easton DF;Schmidt MK;Garcia-Closas M;Chang-Claude J;Lambrechts D;Neven P
以前的研究表明，生殖因素与乳腺癌（BC）风险的亚型有差异。本研究的目的是调查生殖因素和BC亚型之间的关联，以及这些因素是否因诊断时的年龄而异。我们使用了来自乳腺癌协会联盟（BCAC）34项研究的28，095例浸润性BC患者的肿瘤标志物（雌激素和孕激素受体，人表皮生长因子受体-2（HER 2））和生殖风险因素（产次，首次全时妊娠（FFTP）年龄和初潮年龄）的汇总数据。在仅病例分析中，我们使用逻辑回归来评估生殖因素与BC亚型之间的关联，并将管腔A型肿瘤作为参考。年龄和产次之间的相互作用在BC亚型风险也进行了测试，在所有年龄，因为年龄是非线性建模，特别是在35岁，55岁和75岁。无论年龄如何，经产妇女更有可能被诊断为三阴性BC（TNBC）而不是管腔A BC（产次OR = 1.38，95% CI 1.16-1.65，p = 0.0004;与年龄的相互作用p = 0.076）。经产女性也更有可能被诊断为管腔型和非管腔型HER 2样BC，并且这种效应在早期稍微更明显（与年龄的相互作用p分别= 0.037和0.030）。例如，在35岁时诊断的女性比管腔A型BC更有可能患有管腔型HER 2样BC，而在75岁时这种关联并不显著（OR = 0.72，CI 0.45-1.14）。虽然初潮时的年龄与BC亚型没有显著相关性，但相对于管腔A BC，FFTP时年龄的增加与TNBC呈非线性相关。FFTP时的年龄为25岁与20岁相比降低了TNBC的风险（OR = 0.78，CI 0.70-0.88，p < 0.0001），但这种影响在以后的FFTP中并不明显。我们的主要研究结果表明，在BC诊断的所有年龄段中，产次与TNBC相关，而与管腔HER 2样BC的相关性仅存在于早发性BC中。本文的在线版本（doi：10.1186/s13058-017-0909-3）包含补充材料，可供授权用户使用。
Previous studies have shown that reproductive factors are differentially associated with breast cancer (BC) risk by subtypes. The aim of this study was to investigate associations between reproductive factors and BC subtypes, and whether these vary by age at diagnosis. We used pooled data on tumor markers (estrogen and progesterone receptor, human epidermal growth factor receptor-2 (HER2)) and reproductive risk factors (parity, age at first full-time pregnancy (FFTP) and age at menarche) from 28,095 patients with invasive BC from 34 studies participating in the Breast Cancer Association Consortium (BCAC). In a case-only analysis, we used logistic regression to assess associations between reproductive factors and BC subtype compared to luminal A tumors as a reference. The interaction between age and parity in BC subtype risk was also tested, across all ages and, because age was modeled non-linearly, specifically at ages 35, 55 and 75 years. Parous women were more likely to be diagnosed with triple negative BC (TNBC) than with luminal A BC, irrespective of age (OR for parity = 1.38, 95% CI 1.16–1.65, p = 0.0004; p for interaction with age = 0.076). Parous women were also more likely to be diagnosed with luminal and non-luminal HER2-like BCs and this effect was slightly more pronounced at an early age (p for interaction with age = 0.037 and 0.030, respectively). For instance, women diagnosed at age 35 were 1.48 (CI 1.01–2.16) more likely to have luminal HER2-like BC than luminal A BC, while this association was not significant at age 75 (OR = 0.72, CI 0.45–1.14). While age at menarche was not significantly associated with BC subtype, increasing age at FFTP was non-linearly associated with TNBC relative to luminal A BC. An age at FFTP of 25 versus 20 years lowered the risk for TNBC (OR = 0.78, CI 0.70–0.88, p < 0.0001), but this effect was not apparent at a later FFTP. Our main findings suggest that parity is associated with TNBC across all ages at BC diagnosis, whereas the association with luminal HER2-like BC was present only for early onset BC. The online version of this article (doi:10.1186/s13058-017-0909-3) contains supplementary material, which is available to authorized users.
登录
查看更多内容
影响因子：
5.8
作者：
APTER, D;VIHKO, R
通讯作者：
VIHKO, R
影响因子：
3.8
作者：
Lambe, M;Hsieh, CC;Adami, HO
通讯作者：
Adami, HO
影响因子：
3.8
作者：
Gaudet MM;Press MF;Haile RW;Lynch CF;Glaser SL;Schildkraut J;Gammon MD;Douglas Thompson W;Bernstein JL
通讯作者：
Bernstein JL
影响因子：
3.8
作者：
Ritte R;Tikk K;Lukanova A;Tjønneland A;Olsen A;Overvad K;Dossus L;Fournier A;Clavel-Chapelon F;Grote V;Boeing H;Aleksandrova K;Trichopoulou A;Lagiou P;Trichopoulos D;Palli D;Berrino F;Mattiello A;Tumino R;Sacerdote C;Quirós JR;Buckland G;Molina-Montes E;Chirlaque MD;Ardanaz E;Amiano P;Bueno-de-Mesquita HB;van Gils CH;Peeters PH;Wareham N;Khaw KT;Key TJ;Travis RC;Weiderpass E;Dumeaux V;Lund E;Sund M;Andersson A;Romieu I;Rinaldi S;Vineis P;Merritt MA;Riboli E;Kaaks R
通讯作者：
Kaaks R
影响因子：
3.8
作者：
Anderson, Kristin N.;Schwab, Richard B.;Martinez, Maria Elena
通讯作者：
Martinez, Maria Elena