Literature DB >> 23975299

Is there a correlation between breast cancer molecular subtype using receptors as surrogates and mammographic appearance?

Brigid K Killelea1, Anees B Chagpar, Jennifer Bishop, Nina R Horowitz, Carla Christy, Theodore Tsangaris, Madhavi Raghu, Donald R Lannin.   

Abstract

BACKGROUND: The identification of distinct molecular subtypes has changed breast cancer management. The correlation between mammographic appearance and molecular subtype for invasive breast cancer has not been extensively studied.
METHODS: A retrospective review of our prospectively collected database was performed to evaluate the mammographic appearance and molecular subtypes of all cases of invasive breast cancers diagnosed between 2003 and 2010.
RESULTS: There were 985 cases of invasive breast cancer with complete data on receptor status and mammographic appearance. The most common mammographic finding was a mass (61 %), and the most common molecular subtype was ER/PR positive, HER2 negative (71 %). On univariate analysis, race, stage, and histology were all significantly associated with molecular subtype. On multivariate analysis, the luminal molecular type was associated with architectural distortion [odds ratio (OR) 4.3, 95 % CI 1.3-14.1]; HER2 positive cancers, either with or without ER/PR expression, were more likely to be associated with mammographic calcifications (OR 2.8 and 3.1, respectively; 95 % CI 1.7-4.8 and 1.7-5.5); and triple negative cancers were most likely to be associated with a mammographic mass (OR 2.5; 95 % CI 1.4-4.4).
CONCLUSIONS: We observed several characteristic associations between molecular subtype and mammographic appearance. Improved understanding of these associations may help guide clinical decision making and provide information about underlying tumor biology.

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Year:  2013        PMID: 23975299     DOI: 10.1245/s10434-013-3155-7

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  6 in total

1.  Imaging features of breast cancers on digital breast tomosynthesis according to molecular subtype: association with breast cancer detection.

Authors:  Su Hyun Lee; Jung Min Chang; Sung Ui Shin; A Jung Chu; Ann Yi; Nariya Cho; Woo Kyung Moon
Journal:  Br J Radiol       Date:  2017-10-09       Impact factor: 3.039

2.  Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms.

Authors:  Mengwei Ma; Renyi Liu; Chanjuan Wen; Weimin Xu; Zeyuan Xu; Sina Wang; Jiefang Wu; Derun Pan; Bowen Zheng; Genggeng Qin; Weiguo Chen
Journal:  Eur Radiol       Date:  2021-10-13       Impact factor: 7.034

3.  Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study.

Authors:  Marc A Emerson; Katherine E Reeder-Hayes; Heather J Tipaldos; Mary E Bell; Marina R Sweeney; Lisa A Carey; H Shelton Earp; Andrew F Olshan; Melissa A Troester
Journal:  Curr Breast Cancer Rep       Date:  2020-05-14

4.  Is There a Correlation between the Presence of a Spiculated Mass on Mammogram and Luminal A Subtype Breast Cancer?

Authors:  Song Liu; Xiao-Dong Wu; Wen-Jian Xu; Qing Lin; Xue-Jun Liu; Ying Li
Journal:  Korean J Radiol       Date:  2016-10-31       Impact factor: 3.500

5.  Mammographic calcification can predict outcome in women with breast cancer treated with breast-conserving surgery.

Authors:  Xiaomin Qi; Aoxiang Chen; Pei Zhang; Wei Zhang; Xuchen Cao; Chunhua Xiao
Journal:  Oncol Lett       Date:  2017-05-03       Impact factor: 2.967

6.  Mammographic tumour appearance is related to clinicopathological factors and surrogate molecular breast cancer subtype.

Authors:  Li Sturesdotter; Malte Sandsveden; Kristin Johnson; Anna-Maria Larsson; Sophia Zackrisson; Hanna Sartor
Journal:  Sci Rep       Date:  2020-11-30       Impact factor: 4.379

  6 in total

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