Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies.

نویسندگان

  • Xiaohong R Yang
  • Jenny Chang-Claude
  • Ellen L Goode
  • Fergus J Couch
  • Heli Nevanlinna
  • Roger L Milne
  • Mia Gaudet
  • Marjanka K Schmidt
  • Annegien Broeks
  • Angela Cox
  • Peter A Fasching
  • Rebecca Hein
  • Amanda B Spurdle
  • Fiona Blows
  • Kristy Driver
  • Dieter Flesch-Janys
  • Judith Heinz
  • Peter Sinn
  • Alina Vrieling
  • Tuomas Heikkinen
  • Kristiina Aittomäki
  • Päivi Heikkilä
  • Carl Blomqvist
  • Jolanta Lissowska
  • Beata Peplonska
  • Stephen Chanock
  • Jonine Figueroa
  • Louise Brinton
  • Per Hall
  • Kamila Czene
  • Keith Humphreys
  • Hatef Darabi
  • Jianjun Liu
  • Laura J Van 't Veer
  • Flora E van Leeuwen
  • Irene L Andrulis
  • Gord Glendon
  • Julia A Knight
  • Anna Marie Mulligan
  • Frances P O'Malley
  • Nayana Weerasooriya
  • Esther M John
  • Matthias W Beckmann
  • Arndt Hartmann
  • Sebastian B Weihbrecht
  • David L Wachter
  • Sebastian M Jud
  • Christian R Loehberg
  • Laura Baglietto
  • Dallas R English
  • Graham G Giles
  • Catriona A McLean
  • Gianluca Severi
  • Diether Lambrechts
  • Thijs Vandorpe
  • Caroline Weltens
  • Robert Paridaens
  • Ann Smeets
  • Patrick Neven
  • Hans Wildiers
  • Xianshu Wang
  • Janet E Olson
  • Victoria Cafourek
  • Zachary Fredericksen
  • Matthew Kosel
  • Celine Vachon
  • Helen E Cramp
  • Daniel Connley
  • Simon S Cross
  • Sabapathy P Balasubramanian
  • Malcolm W R Reed
  • Thilo Dörk
  • Michael Bremer
  • Andreas Meyer
  • Johann H Karstens
  • Aysun Ay
  • Tjoung-Won Park-Simon
  • Peter Hillemanns
  • Jose Ignacio Arias Pérez
  • Primitiva Menéndez Rodríguez
  • Pilar Zamora
  • Javier Benítez
  • Yon-Dschun Ko
  • Hans-Peter Fischer
  • Ute Hamann
  • Beate Pesch
  • Thomas Brüning
  • Christina Justenhoven
  • Hiltrud Brauch
  • Diana M Eccles
  • William J Tapper
  • Sue M Gerty
  • Elinor J Sawyer
  • Ian P Tomlinson
  • Angela Jones
  • Michael Kerin
  • Nicola Miller
  • Niall McInerney
  • Hoda Anton-Culver
  • Argyrios Ziogas
  • Chen-Yang Shen
  • Chia-Ni Hsiung
  • Pei-Ei Wu
  • Show-Lin Yang
  • Jyh-Cherng Yu
  • Shou-Tung Chen
  • Giu-Cheng Hsu
  • Christopher A Haiman
  • Brian E Henderson
  • Loic Le Marchand
  • Laurence N Kolonel
  • Annika Lindblom
  • Sara Margolin
  • Anna Jakubowska
  • Jan Lubiński
  • Tomasz Huzarski
  • Tomasz Byrski
  • Bohdan Górski
  • Jacek Gronwald
  • Maartje J Hooning
  • Antoinette Hollestelle
  • Ans M W van den Ouweland
  • Agnes Jager
  • Mieke Kriege
  • Madeleine M A Tilanus-Linthorst
  • Margriet Collée
  • Shan Wang-Gohrke
  • Katri Pylkäs
  • Arja Jukkola-Vuorinen
  • Kari Mononen
  • Mervi Grip
  • Pasi Hirvikoski
  • Robert Winqvist
  • Arto Mannermaa
  • Veli-Matti Kosma
  • Jaana Kauppinen
  • Vesa Kataja
  • Päivi Auvinen
  • Ylermi Soini
  • Reijo Sironen
  • Stig E Bojesen
  • David Dynnes Ørsted
  • Diljit Kaur-Knudsen
  • Henrik Flyger
  • Børge G Nordestgaard
  • Helene Holland
  • Georgia Chenevix-Trench
  • Siranoush Manoukian
  • Monica Barile
  • Paolo Radice
  • Susan E Hankinson
  • David J Hunter
  • Rulla Tamimi
  • Suleeporn Sangrajrang
  • Paul Brennan
  • James McKay
  • Fabrice Odefrey
  • Valerie Gaborieau
  • Peter Devilee
  • P E A Huijts
  • R A E M Tollenaar
  • C Seynaeve
  • Gillian S Dite
  • Carmel Apicella
  • John L Hopper
  • Fleur Hammet
  • Helen Tsimiklis
  • Letitia D Smith
  • Melissa C Southey
  • Manjeet K Humphreys
  • Douglas Easton
  • Paul Pharoah
  • Mark E Sherman
  • Montserrat Garcia-Closas
چکیده

BACKGROUND Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors. METHODS We pooled tumor marker and epidemiological risk factor data from 35,568 invasive breast cancer case patients from 34 studies participating in the Breast Cancer Association Consortium. Logistic regression models were used in case-case analyses to estimate associations between epidemiological risk factors and tumor subtypes, and case-control analyses to estimate associations between epidemiological risk factors and the risk of developing specific tumor subtypes in 12 population-based studies. All statistical tests were two-sided. RESULTS In case-case analyses, of the epidemiological risk factors examined, early age at menarche (≤12 years) was less frequent in case patients with PR(-) than PR(+) tumors (P = .001). Nulliparity (P = 3 × 10(-6)) and increasing age at first birth (P = 2 × 10(-9)) were less frequent in ER(-) than in ER(+) tumors. Obesity (body mass index [BMI] ≥ 30 kg/m(2)) in younger women (≤50 years) was more frequent in ER(-)/PR(-) than in ER(+)/PR(+) tumors (P = 1 × 10(-7)), whereas obesity in older women (>50 years) was less frequent in PR(-) than in PR(+) tumors (P = 6 × 10(-4)). The triple-negative (ER(-)/PR(-)/HER2(-)) or core basal phenotype (CBP; triple-negative and cytokeratins [CK]5/6(+) and/or epidermal growth factor receptor [EGFR](+)) accounted for much of the heterogeneity in parity-related variables and BMI in younger women. Case-control analyses showed that nulliparity, increasing age at first birth, and obesity in younger women showed the expected associations with the risk of ER(+) or PR(+) tumors but not triple-negative (nulliparity vs parity, odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.75 to 1.19, P = .61; 5-year increase in age at first full-term birth, OR = 0.95, 95% CI = 0.86 to 1.05, P = .34; obesity in younger women, OR = 1.36, 95% CI = 0.95 to 1.94, P = .09) or CBP tumors. CONCLUSIONS This study shows that reproductive factors and BMI are most clearly associated with hormone receptor-positive tumors and suggest that triple-negative or CBP tumors may have distinct etiology.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Subtypes of Benign Breast Disease as a Risk Factor of Breast Cancer: A Systematic Review and Meta Analyses

Background: Researchers suggest that benign breast disease (BBD) is a key risk factor for breast cancer. The present study aimed to determinate the risk level of breast cancer in terms of various BBD subgroups.Methods: A meta-analysis was performed to determinate the risk of breast cancer associated with BBD. Observational studies (traditional case-control studies, nested case-control studies, ...

متن کامل

Subtypes of Benign Breast Disease as a Risk Factor for Breast Cancer: A Systematic Review and Meta-Analysis Protocol

AbstractBreast cancer is a multifactorial disease. Benign breast disease (BBD) is one of the most important risk factors for breast cancer. The etiology of BBD is unknown. It is divided into nonproliferative and proliferative diseases. The selection of studies will be based on titles, abstract screening, inclusion and exclusion criteria, and quality assessment. Previous studies have shown that ...

متن کامل

A systematic review and meta-analysis on the association of serum and tumor tissue iron and risk of breast cancer

Background: Some studies have investigated the effects of iron on breast carcinogenesis and reported different findings about the association between Fe and breast cancer risk. This study was conducted to estimate this effect using meta-analysis method. Methods: A total of 20 articles published between 1984 and 2017 worldwide were selected through searching PubMed, Scopus, Embase, Web of Scien...

متن کامل

Study of the association FokI polymorphisms of the XRCC3 gene with the risk of breast cancer in women: brief report

Background: Breast cancer is one of the most common worldwide malignancies among women. Biological data suggest that damage induced by endogenous and exogenous factors affects the integrity of DNA and associated with susceptibility to breast cancer. Single nucleotide polymorphisms (SNPs) in DNA repair genes can associated with differences in the repair efficiency of DNA damage and may affect br...

متن کامل

Gene-Gene Interaction Study Between Genetic Polymorphisms of Folate Metabolism and MTR SNPs on Prognostic Features Impact for Breast Cancer

Background: Breast Cancer (BC), the second leading cause of cancer mortality after lung cancer and varied across the world due to genetic and environmental factors. In this study, we evaluated the interaction between the polymorphisms in genes encoding enzymes of folate metabolism: methylenetetrahydrofolate reductase (MTHFR), methionine synthesis reductase (MTR) with the BC prognostic factors. ...

متن کامل

بررسی همبستگی پلی مورفیسم تک نوکلئوتید rs11614913 ژن mir196a2 با استعداد ابتلا به سرطان پستان در جمعیت جنوب ایران

Breast cancer is the most common cancer worldwide and is the second leading cause of death in women after lung cancer. Micro RNAs (miRNAs) are among endogenous factors which are involved in many types of cancers, including breast cancer. Single nucleotide polymorphism (SNP) in the miRNAs, might change their biological activities such as their effects on oncogenes and tumor suppressor genes. The...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Journal of the National Cancer Institute

دوره 103 3  شماره 

صفحات  -

تاریخ انتشار 2011