Literature DB >> 27569190

Molecular heterogeneity in breast cancer: State of the science and implications for patient care.

Rachel E Ellsworth1, Heather L Blackburn2, Craig D Shriver3, Patrick Soon-Shiong4, Darrell L Ellsworth5.   

Abstract

The identification of extensive genetic heterogeneity in human breast carcinomas poses a significant challenge for designing effective treatment regimens. Significant genomic evolution often occurs during breast cancer progression, creating variability within primary tumors as well as between the primary carcinoma and metastases. Current risk allocations and treatment recommendations for breast cancer patients are based largely on characteristics of the primary tumor; however, genetic differences between disseminated tumor cells and the primary carcinoma may negatively impact treatment efficacy and survival. In this review we (1) present current information about genomic variability within primary breast carcinomas, between primary tumors and regional/distant metastases, among circulating tumor cells (CTCs) and disseminated tumor cells (DTCs), and in cell-free nucleic acids in circulation, and (2) describe how this heterogeneity affects clinical care and outcomes such as recurrence and therapeutic resistance. Understanding the evolution and functional significance of the composite breast cancer genome within each patient is critical for developing effective therapies that can overcome obstacles presented by molecular heterogeneity.
Copyright © 2016 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Breast cancer; Cell-free DNA; Circulating tumor cells; Intratumor heterogeneity; Metastasis

Mesh:

Year:  2016        PMID: 27569190     DOI: 10.1016/j.semcdb.2016.08.025

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  71 in total

1.  Tumor Heterogeneity Correlates with Less Immune Response and Worse Survival in Breast Cancer Patients.

Authors:  Kerry-Ann McDonald; Tsutomu Kawaguchi; Qianya Qi; Xuan Peng; Mariko Asaoka; Jessica Young; Mateusz Opyrchal; Li Yan; Santosh Patnaik; Eigo Otsuji; Kazuaki Takabe
Journal:  Ann Surg Oncol       Date:  2019-04-08       Impact factor: 5.344

2.  α-Parvin promotes breast cancer progression and metastasis through interaction with G3BP2 and regulation of TWIST1 signaling.

Authors:  Ying Sun; Yanyan Ding; Chen Guo; Chengmin Liu; Ping Ma; Shuang Ma; Zhe Wang; Jie Liu; Tao Qian; Luyao Ma; Yi Deng; Chuanyue Wu
Journal:  Oncogene       Date:  2019-02-25       Impact factor: 9.867

3.  18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Panli Li; Xiuying Wang; Chongrui Xu; Cheng Liu; Chaojie Zheng; Michael J Fulham; Dagan Feng; Lisheng Wang; Shaoli Song; Gang Huang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-01-25       Impact factor: 9.236

Review 4.  The Heterogeneity of Lipid Metabolism in Cancer.

Authors:  Joshua K Park; Nathan J Coffey; Aaron Limoges; Anne Le
Journal:  Adv Exp Med Biol       Date:  2018       Impact factor: 2.622

5.  Kallikrein-related peptidase 6 (KLK6) expression differentiates tumor subtypes and predicts clinical outcome in breast cancer patients.

Authors:  Christoforos Haritos; Kleita Michaelidou; Konstantinos Mavridis; Ioannis Missitzis; Alexandros Ardavanis; John Griniatsos; Andreas Scorilas
Journal:  Clin Exp Med       Date:  2018-02-12       Impact factor: 3.984

Review 6.  Emergence of Circulating MicroRNAs in Breast Cancer as Diagnostic and Therapeutic Efficacy Biomarkers.

Authors:  Vaishali Aggarwal; Kumari Priyanka; Hardeep Singh Tuli
Journal:  Mol Diagn Ther       Date:  2020-04       Impact factor: 4.074

Review 7.  A Critical Insight into the Clinical Translation of PD-1/PD-L1 Blockade Therapy in Clear Cell Renal Cell Carcinoma.

Authors:  Caroline E Nunes-Xavier; Javier C Angulo; Rafael Pulido; José I López
Journal:  Curr Urol Rep       Date:  2019-01-15       Impact factor: 3.092

Review 8.  The biology and mathematical modelling of glioma invasion: a review.

Authors:  J C L Alfonso; K Talkenberger; M Seifert; B Klink; A Hawkins-Daarud; K R Swanson; H Hatzikirou; A Deutsch
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

Review 9.  Pathological Bases and Clinical Impact of Intratumor Heterogeneity in Clear Cell Renal Cell Carcinoma.

Authors:  José I López; Javier C Angulo
Journal:  Curr Urol Rep       Date:  2018-01-27       Impact factor: 3.092

10.  Mutation Profiling of Key Cancer Genes in Primary Breast Cancers and Their Distant Metastases.

Authors:  Willemijne A M E Schrijver; Pier Selenica; Ju Youn Lee; Charlotte K Y Ng; Kathleen A Burke; Salvatore Piscuoglio; Samuel H Berman; Jorge S Reis-Filho; Britta Weigelt; Paul J van Diest; Cathy B Moelans
Journal:  Cancer Res       Date:  2018-04-03       Impact factor: 12.701

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