Literature DB >> 31254158

Associations between mammographic density and tumor characteristics in Chinese women with breast cancer.

Erni Li1, Jennifer L Guida2,3, Yuan Tian1, Hyuna Sung2,4, Hela Koka2, Mengjie Li2,5, Ariane Chan6, Han Zhang2, Eric Tang2, Changyuan Guo1, Joseph Deng2, Nan Hu2, Ning Lu1, Gretchen L Gierach2, Jing Li7, Xiaohong R Yang8.   

Abstract

PURPOSE: Mammographic density (MD) is a strong risk factor for breast cancer, yet its relationship with tumor characteristics is not well established, particularly in Asian populations.
METHODS: MD was assessed from a total of 2001 Chinese breast cancer patients using Breast Imaging Reporting and Data System (BI-RADS) categories. Molecular subtypes were defined using immunohistochemical status on ER, PR, HER2, and Ki-67, as well as tumor grade. Multinomial logistic regression was used to test associations between MD and molecular subtype (luminal A = reference) adjusting for age, body mass index (BMI), menopausal status, parity, and nodal status.
RESULTS: The mean age at diagnosis was 51.7 years (SD = 10.7) and the average BMI was 24.7 kg/m2 (SD = 3.8). The distribution of BI-RADS categories was 7.4% A = almost entirely fat, 24.2% B = scattered fibroglandular dense, 49.4% C = heterogeneously dense, and 19.0% D = extremely dense. Compared to women with BI-RADS = A/B, women with BI-RADS = D were more likely to have HER2-enriched tumors (OR = 1.81, 95% CI 1.08-3.06, p = 0.03), regardless of menopausal status. The association was only observed in women with normal (< 25 kg/m2) BMI (OR = 2.43, 95% CI 1.24-4.76, p < 0.01), but not among overweight/obese women (OR: 0.98, 95% CI 0.38-2.52, p = 0.96).
CONCLUSIONS: Among Chinese women with normal BMI, higher breast density was associated with HER2-enriched tumors. The results may partially explain the higher proportion of HER2+ tumors previously reported in Asian women.

Entities:  

Keywords:  BI-RADS; Breast cancer; Mammographic density; Tumor subtype

Mesh:

Substances:

Year:  2019        PMID: 31254158      PMCID: PMC7304859          DOI: 10.1007/s10549-019-05325-6

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  40 in total

1.  Mammographic density and the risk and detection of breast cancer.

Authors:  Norman F Boyd; Helen Guo; Lisa J Martin; Limei Sun; Jennifer Stone; Eve Fishell; Roberta A Jong; Greg Hislop; Anna Chiarelli; Salomon Minkin; Martin J Yaffe
Journal:  N Engl J Med       Date:  2007-01-18       Impact factor: 91.245

2.  Does breast density show difference in patients with estrogen receptor-positive and estrogen receptor-negative breast cancer measured on MRI?

Authors:  J-H Chen; F-T Hsu; H-N Shih; C-C Hsu; D Chang; K Nie; O Nalcioglu; M-Y Su
Journal:  Ann Oncol       Date:  2009-08       Impact factor: 32.976

3.  Association between mammographic density and tumor marker-defined breast cancer subtypes: a case-control study.

Authors:  Jinyoung Shin; Jeong Eon Lee; Hyeon Young Ko; Tuong Linh Nguyen; Seok Jin Nam; John Llewelyn Hopper; Yun-Mi Song
Journal:  Eur J Cancer Prev       Date:  2018-05       Impact factor: 2.497

4.  Breast density, body mass index, and risk of tumor marker-defined subtypes of breast cancer.

Authors:  Amanda I Phipps; Diana S M Buist; Kathleen E Malone; William E Barlow; Peggy L Porter; Karla Kerlikowske; Ellen S O'Meara; Christopher I Li
Journal:  Ann Epidemiol       Date:  2012-02-25       Impact factor: 3.797

5.  Is mammographic density differentially associated with breast cancer according to receptor status? A meta-analysis.

Authors:  Sebastien Antoni; Annie J Sasco; Isabel dos Santos Silva; Valerie McCormack
Journal:  Breast Cancer Res Treat       Date:  2012-12-13       Impact factor: 4.872

6.  Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics.

Authors:  Lusine Yaghjyan; Graham A Colditz; Laura C Collins; Stuart J Schnitt; Bernard Rosner; Celine Vachon; Rulla M Tamimi
Journal:  J Natl Cancer Inst       Date:  2011-07-27       Impact factor: 13.506

7.  The influence of mammographic density on breast tumor characteristics.

Authors:  Louise Eriksson; Kamila Czene; Lena Rosenberg; Keith Humphreys; Per Hall
Journal:  Breast Cancer Res Treat       Date:  2012-06-19       Impact factor: 4.872

8.  Assessment of Breast Cancer Risk Factors Reveals Subtype Heterogeneity.

Authors:  Johanna Holm; Louise Eriksson; Alexander Ploner; Mikael Eriksson; Mattias Rantalainen; Jingmei Li; Per Hall; Kamila Czene
Journal:  Cancer Res       Date:  2017-05-16       Impact factor: 12.701

9.  Mammographic features of triple receptor-negative primary breast cancers in young premenopausal women.

Authors:  Wei-Tse Yang; Mark Dryden; Kristine Broglio; Michael Gilcrease; Shaheenah Dawood; Peter J Dempsey; Vicente Valero; Gabriel Hortobagyi; Deann Atchley; Banu Arun
Journal:  Breast Cancer Res Treat       Date:  2007-11-17       Impact factor: 4.872

10.  Mammographic density and molecular subtypes of breast cancer.

Authors:  L Eriksson; P Hall; K Czene; I Dos Santos Silva; V McCormack; J Bergh; J Bjohle; A Ploner
Journal:  Br J Cancer       Date:  2012-05-29       Impact factor: 7.640

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  8 in total

1.  Association of mammographic density measures and breast cancer "intrinsic" molecular subtypes.

Authors:  Geffen Kleinstern; Christopher G Scott; Rulla M Tamimi; Matthew R Jensen; V Shane Pankratz; Kimberly A Bertrand; Aaron D Norman; Daniel W Visscher; Fergus J Couch; Kathleen Brandt; John Shepherd; Fang-Fang Wu; Yunn-Yi Chen; Steven R Cummings; Stacey Winham; Karla Kerlikowske; Celine M Vachon
Journal:  Breast Cancer Res Treat       Date:  2021-01-04       Impact factor: 4.872

2.  Disease characteristics and mortality among Asian women with breast cancer.

Authors:  Alice Yunzi L Yu; Samantha M Thomas; Gayle D DiLalla; Rachel A Greenup; E Shelley Hwang; Terry Hyslop; Carolyn S Menendez; Jennifer K Plichta; Lisa A Tolnitch; Oluwadamilola M Fayanju
Journal:  Cancer       Date:  2021-11-18       Impact factor: 6.860

3.  Quantitative Mammographic Density Measurements and Molecular Subtypes in Chinese Women With Breast Cancer.

Authors:  Yuan Tian; Jennifer L Guida; Hela Koka; Er-Ni Li; Bin Zhu; Hyuna Sung; Ariane Chan; Han Zhang; Eric Tang; Changyuan Guo; Joseph Deng; Nan Hu; Ning Lu; Gretchen L Gierach; Jing Li; Xiaohong R Yang
Journal:  JNCI Cancer Spectr       Date:  2020-10-13

4.  Association between mammographic breast composition and breast cancer risk among Japanese women: a retrospective cohort study.

Authors:  Toshifumi Namba; Naoko Matsuda; Mahbubur Rahman; Naoki Kanomata; Hideko Yamauchi; Hiroko Tsunoda
Journal:  Breast Cancer       Date:  2022-07-13       Impact factor: 3.307

5.  Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound.

Authors:  Qiucheng Wang; He Chen; Gongning Luo; Bo Li; Haitao Shang; Hua Shao; Shanshan Sun; Zhongshuai Wang; Kuanquan Wang; Wen Cheng
Journal:  Eur Radiol       Date:  2022-04-30       Impact factor: 7.034

6.  Relationship of established risk factors with breast cancer subtypes.

Authors:  Anne Marie McCarthy; Tara Friebel-Klingner; Sarah Ehsan; Wei He; Michaela Welch; Jinbo Chen; Despina Kontos; Susan M Domchek; Emily F Conant; Alan Semine; Kevin Hughes; Aditya Bardia; Constance Lehman; Katrina Armstrong
Journal:  Cancer Med       Date:  2021-08-31       Impact factor: 4.452

7.  Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.

Authors:  Aqiao Xu; Xiufeng Chu; Shengjian Zhang; Jing Zheng; Dabao Shi; Shasha Lv; Feng Li; Xiaobo Weng
Journal:  BMC Cancer       Date:  2022-08-10       Impact factor: 4.638

Review 8.  The epidemiologic factors associated with breast density: A review.

Authors:  Dong-Man Ye; Tao Yu
Journal:  J Res Med Sci       Date:  2022-07-29       Impact factor: 1.985

  8 in total

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