Literature DB >> 30885777

Is Multifocal Regression a Risk Factor for Ipsilateral Breast Tumor Recurrence in the Modern Era After Neoadjuvant Chemotherapy and Breast Conservation Therapy?

Diane C Ling1, Philip A Sutera1, Nick A Iarrobino1, Emilia J Diego2, Atilla Soran2, Ronald R Johnson2, Rohit Bhargava3, Colin E Champ1, Sushil Beriwal4.   

Abstract

PURPOSE: Multifocal pattern of regression after neoadjuvant chemotherapy has been identified as a risk factor for ipsilateral breast tumor recurrence (IBTR). We aimed to determine the significance of multifocal regression as a predictor of IBTR after neoadjuvant chemotherapy and breast conservation therapy in the modern era. METHODS AND MATERIALS: We retrospectively reviewed 346 patients treated between November 2009 and June 2017. Pattern of regression was categorized as pathologic complete response (pCR), unifocal (tumor present as a cohesive mass), limited multifocal (single cells or clusters of cells concentrated in 1 portion of the fibrotic area), or diffuse multifocal (cells spread over entire fibrotic area). IBTR was defined as new ipsilateral invasive or noninvasive breast tumor after breast conservation therapy. Predictive factors were analyzed using Cox regression.
RESULTS: Incidence of multifocal regression was 25.7% for the overall cohort and 12.2% for estrogen receptor (ER) negative/progesterone receptor (PR) negative/human epidermal growth factor receptor 2 (HER2) positive, 17.5% for triple-negative, 36.9% for ER+ or PR+/HER2-, and 38.5% for triple-positive (P < .001). With a median follow-up of 41.1 months, 4-year IBTR-free survival after pCR or unifocal regression versus multifocal regression was 94.1% versus 90.9% (P = .411). Pattern of regression (P = .010; compared to pCR, hazard ratio [HR] of 11.2 for diffuse multifocal regression, 1.65 for limited multifocal regression, and 3.81 for unifocal regression), phenotype (P = .001; compared to ER+ or PR+/HER2-, HR of 30.67 for ER-/PR-/HER2+, 25.30 for triple-negative, and 1.60 for triple-positive), and lack of nodal pCR (P = .004; HR of 3.78) predicted for IBTR on multivariate Cox regression. On multivariate subset analysis, pattern of regression and lymphovascular space invasion predicted for IBTR in hormone receptor-negative patients, but pattern of regression was not associated with IBTR for hormone receptor-positive patients.
CONCLUSIONS: Multifocal regression, hormone receptor-negative phenotype, and lack of nodal pCR predict for increased risk of IBTR after neoadjuvant chemotherapy. Although more common in hormone receptor-positive disease, multifocal regression was associated with worse outcome only in hormone receptor-negative patients.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30885777     DOI: 10.1016/j.ijrobp.2019.03.012

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  4 in total

1.  Pathological and genetic aspects of spontaneous mammary gland tumor in Tupaia belangeri (tree shrew).

Authors:  Chi Hai-Ying; Yuki Tanaka; Tatsuro Hifumi; Koichiro Shoji; Mohammad Enamul Hoque Kayesh; Md Abul Hashem; Bouchra Kitab; Takahiro Sanada; Tomoko Fujiyuki; Misako Yoneda; Hitoshi Hatai; Akira Yabuki; Noriaki Miyoshi; Chieko Kai; Michinori Kohara; Kyoko Tsukiyama-Kohara
Journal:  PLoS One       Date:  2020-05-18       Impact factor: 3.240

2.  Mutant Allele Frequency-Based Intra-Tumoral Genetic Heterogeneity Related to the Tumor Shrinkage Mode After Neoadjuvant Chemotherapy in Breast Cancer Patients.

Authors:  Chun-Hui Zheng; Zhao-Yun Liu; Chen-Xi Yuan; Xiao-Yun Dong; Hai-Mei Li; Jin-Jin Wang; Zhao-Peng Zhang; Hong-Ying Liu; Xiao-Yan Ding; Wendy Wu; Rui-Ru Wang; Yong-Sheng Wang
Journal:  Front Med (Lausanne)       Date:  2021-03-31

3.  Meta-Analysis of Shrinkage Mode After Neoadjuvant Chemotherapy for Breast Cancers: Association With Hormonal Receptor.

Authors:  Chun-Hui Zheng; Kai Xu; Wen-Ping Shan; Ya-Kun Zhang; Zhi-De Su; Xiang-Jin Gao; Yu-Jue Wang; Jian-Yu Qi; Xiao-Yan Ding; Chun-Ping Wang; Yong-Sheng Wang
Journal:  Front Oncol       Date:  2022-04-04       Impact factor: 5.738

4.  Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy.

Authors:  Xiaosheng Zhuang; Chi Chen; Zhenyu Liu; Liulu Zhang; Xuezhi Zhou; Minyi Cheng; Fei Ji; Teng Zhu; Chuqian Lei; Junsheng Zhang; Jingying Jiang; Jie Tian; Kun Wang
Journal:  Transl Oncol       Date:  2020-08-03       Impact factor: 4.243

  4 in total

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