Literature DB >> 25325325

Can breast cancer molecular subtype help to select patients for preoperative MR imaging?

Lars J Grimm1, Karen S Johnson, P Kelly Marcom, Jay A Baker, Mary S Soo.   

Abstract

PURPOSE: To assess whether breast cancer molecular subtype classified by surrogate markers can be used to predict the extent of clinically relevant disease with preoperative breast magnetic resonance (MR) imaging.
MATERIALS AND METHODS: In this HIPAA-compliant, institutional review board-approved study, informed consent was waived. Preoperative breast MR imaging reports from 441 patients were reviewed for multicentric and/or multifocal disease, lymph node involvement, skin and/or nipple invasion, chest wall and/or pectoralis muscle invasion, or contralateral disease. Pathologic reports were reviewed to confirm the MR imaging findings and for hormone receptors (estrogen and progesterone subtypes), human epidermal growth factor receptor type 2 (HER2 subtype), tumor size, and tumor grade. Surrogates were used to categorize tumors by molecular subtype: hormone receptor positive and HER2 negative (luminal A subtype); hormone receptor positive and HER2 positive (luminal B subtype); hormone receptor negative and HER2 positive (HER2 subtype); hormone receptor negative and HER2 negative (basal subtype). All patients included in the study had a histologic correlation with MR imaging findings or they were excluded. χ(2) analysis was used to compare differences between subtypes, with multivariate logistic regression analysis used to assess for variable independence.
RESULTS: Identified were 289 (65.5%) luminal A, 45 (10.2%) luminal B, 26 (5.9%) HER2, and 81 (18.4%) basal subtypes. Among subtypes, significant differences were found in the frequency of multicentric and/or multifocal disease (luminal A, 27.3% [79 of 289]; luminal B, 53.3% [24 of 45]; HER2, 65.4% [17 of 26]; basal, 27.2% [22 of 81]; P < .001) and lymph node involvement (luminal A, 17.3% [50 of 289]; luminal B, 35.6% [26 of 45]; HER2, 34.6% [nine of 26]; basal 24.7% [20 of 81]; P = .014). Multivariate analysis showed that molecular subtype was independently predictive of multifocal and/or multicentric disease.
CONCLUSION: Preoperative breast MR imaging is significantly more likely to help detect multifocal and/or multicentric disease and lymph node involvement in luminal B and HER2 molecular subtype breast cancers. Molecular subtype may help to select patients for preoperative breast MR imaging. © RSNA, 2014.

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Year:  2014        PMID: 25325325     DOI: 10.1148/radiol.14140594

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  19 in total

1.  Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results.

Authors:  Hakmook Kang; Allison Hainline; Lori R Arlinghaus; Stephanie Elderidge; Xia Li; Vandana G Abramson; Anuradha Bapsi Chakravarthy; Richard G Abramson; Brian Bingham; Kareem Fakhoury; Thomas E Yankeelov
Journal:  J Med Imaging (Bellingham)       Date:  2017-12-29

Review 2.  Clinical role of breast MRI now and going forward.

Authors:  D Leithner; G J Wengert; T H Helbich; S Thakur; R E Ochoa-Albiztegui; E A Morris; K Pinker
Journal:  Clin Radiol       Date:  2017-12-09       Impact factor: 2.350

3.  Role of MRI in the staging of breast cancer patients: does histological type and molecular subtype matter?

Authors:  Almir G V Bitencourt; Nara P Pereira; Luciana K L França; Caroline B Silva; Jociana Paludo; Hugo L S Paiva; Luciana Graziano; Camila S Guatelli; Juliana A Souza; Elvira F Marques
Journal:  Br J Radiol       Date:  2015-09-16       Impact factor: 3.039

4.  Tumor size estimation of the breast cancer molecular subtypes using imaging techniques.

Authors:  Gulten Sezgın; Melda Apaydın; Demet Etıt; Murat Kemal Atahan
Journal:  Med Pharm Rep       Date:  2020-07-22

5.  Suspicious breast calcifications undergoing stereotactic biopsy in women ages 70 and over: Breast cancer incidence by BI-RADS descriptors.

Authors:  Lars J Grimm; David Y Johnson; Karen S Johnson; Jay A Baker; Mary Scott Soo; E Shelley Hwang; Sujata V Ghate
Journal:  Eur Radiol       Date:  2016-10-17       Impact factor: 5.315

Review 6.  [Multimodal, multiparametric and genetic breast imaging].

Authors:  Roberto LoGullo; Joao Horvat; Jeffrey Reiner; Katja Pinker
Journal:  Radiologe       Date:  2021-01-19       Impact factor: 0.635

7.  The Values of Combined and Sub-Stratified Imaging Scores with Ultrasonography and Mammography in Breast Cancer Subtypes.

Authors:  Tsun-Hou Chang; Hsian-He Hsu; Yu-Ching Chou; Jyh-Cherng Yu; Giu-Cheng Hsu; Guo-Shu Huang; Guo-Shiou Liao
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Review 8.  Molecular subtypes and imaging phenotypes of breast cancer.

Authors:  Nariya Cho
Journal:  Ultrasonography       Date:  2016-07-21

Review 9.  Imaging and the completion of the omics paradigm in breast cancer.

Authors:  D Leithner; J V Horvat; R E Ochoa-Albiztegui; S Thakur; G Wengert; E A Morris; T H Helbich; K Pinker
Journal:  Radiologe       Date:  2018-11       Impact factor: 0.635

10.  Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype.

Authors:  Jose M Net; Gary J Whitman; Elizabteh Morris; Kathleen R Brandt; Elizabeth S Burnside; Maryellen L Giger; Marie Ganott; Elizabeth J Sutton; Margarita L Zuley; Arvind Rao
Journal:  Curr Probl Diagn Radiol       Date:  2018-08-23
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