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

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.

[1]  C. Perou,et al.  Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013 , 2013, Annals of oncology : official journal of the European Society for Medical Oncology.

[2]  Qifeng Yang,et al.  Post-Mastectomy Radiotherapy for Breast Cancer Patients with T1-T2 and 1-3 Positive Lymph Nodes: a Meta-Analysis , 2013, PloS one.

[3]  V. Calvo de Juan,et al.  Breast MR imaging changes after neoadjuvant chemotherapy: correlation with molecular subtypes. , 2012, Radiologia.

[4]  F. B. Sørensen,et al.  Estrogen receptor, progesterone receptor, HER-2, and response to postmastectomy radiotherapy in high-risk breast cancer: the Danish Breast Cancer Cooperative Group. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[5]  E. Gallardo,et al.  Analysis of the pathologic response to primary chemotherapy in patients with locally advanced breast cancer grouped according to estrogen receptor, progesterone receptor, and HER2 status. , 2007, Clinical breast cancer.

[6]  David Bouwman,et al.  Pathologic analysis of tumor size and lymph node status in multifocal/multicentric breast carcinoma , 2002, Cancer.

[7]  Christian A. Rees,et al.  Molecular portraits of human breast tumours , 2000, Nature.

[8]  L. Carey,et al.  Breast cancer molecular subtypes in patients with locally advanced disease: impact on prognosis, patterns of recurrence, and response to therapy. , 2009, Seminars in radiation oncology.

[9]  San-Gang Wu,et al.  Predictive value of breast cancer molecular subtypes in Chinese patients with four or more positive nodes after postmastectomy radiotherapy. , 2012, Breast.

[10]  F. Vicini,et al.  Molecular classification system identifies invasive breast carcinoma patients who are most likely and those who are least likely to achieve a complete pathologic response after neoadjuvant chemotherapy , 2007, Cancer.

[11]  Ben Tran,et al.  Luminal-B breast cancer and novel therapeutic targets , 2011, Breast Cancer Research.

[12]  K. Bland,et al.  Accuracy of breast magnetic resonance imaging in predicting pathologic response in patients treated with neoadjuvant chemotherapy. , 2011, Clinical breast cancer.

[13]  James N Ingle,et al.  HER2 testing in patients with breast cancer: poor correlation between weak positivity by immunohistochemistry and gene amplification by fluorescence in situ hybridization. , 2002, Mayo Clinic proceedings.

[14]  E Boven,et al.  Breast cancer classification by proteomic technologies: current state of knowledge. , 2014, Cancer treatment reviews.

[15]  Breast cancer, version 3.2013: featured updates to the NCCN guidelines. , 2015, Journal of the National Comprehensive Cancer Network : JNCCN.

[16]  I. Jatoi,et al.  The case against routine preoperative breast MRI. , 2013, Future oncology.

[17]  M. Kurosumi,et al.  Analysis of complete response by MRI following neoadjuvant chemotherapy predicts pathological tumor responses differently for molecular subtypes of breast cancer. , 2013, Oncology letters.

[18]  R. Warren,et al.  Magnetic resonance imaging screening of the contralateral breast in women with newly diagnosed breast cancer: systematic review and meta-analysis of incremental cancer detection and impact on surgical management. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[19]  Monica Morrow,et al.  Presenting Features of Breast Cancer Differ by Molecular Subtype , 2009, Annals of Surgical Oncology.

[20]  P. Parizel,et al.  Magnetic resonance imaging in breast cancer. , 2006, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[21]  M. Plana,et al.  Magnetic resonance imaging in the preoperative assessment of patients with primary breast cancer: systematic review of diagnostic accuracy and meta-analysis , 2011, European Radiology.

[22]  Benjamin Kim,et al.  Preoperative breast MRI in early-stage breast cancer , 2012, Breast Cancer Research and Treatment.

[23]  A. Giuliano,et al.  Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial. , 2011, JAMA.

[24]  T. Dimpfl,et al.  Multicentric and multifocal versus unifocal breast cancer: is the tumor-node-metastasis classification justified? , 2010, Breast Cancer Research and Treatment.

[25]  R. Tibshirani,et al.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[26]  W. Han,et al.  Breast Cancer Molecular Phenotype and the Use of HER2-Targeted Agents Influence the Accuracy of Breast MRI After Neoadjuvant Chemotherapy , 2013, Annals of surgery.

[27]  C. Perou,et al.  Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. , 2006, JAMA.

[28]  John M S Bartlett,et al.  Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. , 2014, Archives of pathology & laboratory medicine.

[29]  M. Morrow Magnetic resonance imaging for screening, diagnosis, and eligibility for breast-conserving surgery: promises and pitfalls. , 2010, Surgical oncology clinics of North America.

[30]  Shu Ichihara,et al.  Breast cancer prognostic classification in the molecular era: the role of histological grade , 2010, Breast Cancer Research.

[31]  L. Turnbull,et al.  An individual person data meta-analysis of preoperative magnetic resonance imaging and breast cancer recurrence. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[32]  R. Turner,et al.  Preoperative Magnetic Resonance Imaging in Breast Cancer: Meta-Analysis of Surgical Outcomes , 2013, Annals of surgery.

[33]  B. Ljung,et al.  Breast Cancer, Version 3.2013 , 2013 .

[34]  John W M Martens,et al.  Subtypes of breast cancer show preferential site of relapse. , 2008, Cancer research.

[35]  C. Perou,et al.  The Triple Negative Paradox: Primary Tumor Chemosensitivity of Breast Cancer Subtypes , 2007, Clinical Cancer Research.

[36]  C Kuhl,et al.  Pre-operative staging of breast cancer with breast MRI: one step forward, two steps back? , 2007, Breast.

[37]  Resonancia magnética de mama: cambios en la imagen del cáncer tratado con neoadyuvancia. Correlación con subtipos moleculares , 2012 .