Literature DB >> 23806603

Biological subtypes of triple-negative breast cancer are associated with distinct morphological changes and clinical behaviour.

Zeinab Elsawaf1, Hans-Peter Sinn, Joachim Rom, Justo Lorenzo Bermejo, Andreas Schneeweiss, Sebastian Aulmann.   

Abstract

Triple negative breast cancer (TNBC) is a heterogeneous group of tumours accounting for approximately 10-20% of all breast carcinomas. To identify biologically distinct subgroups of TNBC and to assess their clinical properties we examined a series of 142 consecutive patients all of which had received adjuvant cytotoxic chemotherapy using a comprehensive panel of immunostains. Hierarchical unsupervised cluster analysis based on the expression of 13 markers permitted separation of four distinct groups (basal A, basal B, basoluminal, luminal) with the main distinguishing features being cytokeratin (Ck5/6, Ck14, Ck19), EGFR, p53, p16, and Ki-67 expression. Clusters differed with respect to patient age, modified Bloom and Richardson grading, the presence of tumour necrosis, growth pattern and survival, both in uni- and multivariate analysis. Basal (A or B) tumours showed a substantially better outcome compared with basoluminal and luminal tumours. Our data underline the heterogeneity of TNBC and characterise potentially relevant biological subtypes.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Cluster analysis; Immunohistochemistry; Survival; Triple negative

Mesh:

Substances:

Year:  2013        PMID: 23806603     DOI: 10.1016/j.breast.2013.05.012

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  23 in total

1.  The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer.

Authors:  Filiz Çelebi; Kezban Nur Pilancı; Çetin Ordu; Filiz Ağacayak; Gül Alço; Serkan İlgün; Dauren Sarsenov; Zeynep Erdoğan; Vahit Özmen
Journal:  Diagn Interv Radiol       Date:  2015 Nov-Dec       Impact factor: 2.630

2.  Prediction for pathological and immunohistochemical characteristics of triple-negative invasive breast carcinomas: the performance comparison between quantitative and qualitative sonographic feature analysis.

Authors:  Jia-Wei Li; Yu-Cheng Cao; Zhi-Jin Zhao; Zhao-Ting Shi; Xiao-Qian Duan; Cai Chang; Jian-Gang Chen
Journal:  Eur Radiol       Date:  2021-09-14       Impact factor: 7.034

3.  Quantum dot-based in situ simultaneous molecular imaging and quantitative analysis of EGFR and collagen IV and identification of their prognostic value in triple-negative breast cancer.

Authors:  Hong-Mei Zheng; Chuang Chen; Xin-Hong Wu; Jian Chen; Si Sun; Jin-Zhong Sun; Ming-Wei Wang; Sheng-Rong Sun
Journal:  Tumour Biol       Date:  2015-09-19

4.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

5.  Survival and local control rates of triple-negative breast cancer patients treated with boost-IOERT during breast-conserving surgery.

Authors:  Gerd Fastner; Cornelia Hauser-Kronberger; Angelika Moder; Roland Reitsamer; Franz Zehentmayr; Peter Kopp; Christoph Fussl; Thorsten Fischer; Heinrich Deutschmann; Felix Sedlmayer
Journal:  Strahlenther Onkol       Date:  2015-09-24       Impact factor: 3.621

Review 6.  Reproductive risk factors and breast cancer subtypes: a review of the literature.

Authors:  Kristin N Anderson; Richard B Schwab; Maria Elena Martinez
Journal:  Breast Cancer Res Treat       Date:  2014-01-30       Impact factor: 4.872

7.  Androgen receptor status is a prognostic marker in non-basal triple negative breast cancers and determines novel therapeutic options.

Authors:  Pierluigi Gasparini; Matteo Fassan; Luciano Cascione; Gulnur Guler; Serdar Balci; Cigdem Irkkan; Carolyn Paisie; Francesca Lovat; Carl Morrison; Jianying Zhang; Aldo Scarpa; Carlo M Croce; Charles L Shapiro; Kay Huebner
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

8.  Mutational profiles in triple-negative breast cancer defined by ultradeep multigene sequencing show high rates of PI3K pathway alterations and clinically relevant entity subgroup specific differences.

Authors:  Mark Kriegsmann; Volker Endris; Thomas Wolf; Nicole Pfarr; Albrecht Stenzinger; Sibylle Loibl; Carsten Denkert; Andreas Schneeweiss; Jan Budczies; Peter Sinn; Wilko Weichert
Journal:  Oncotarget       Date:  2014-10-30

9.  Identification of selective cytotoxic and synthetic lethal drug responses in triple negative breast cancer cells.

Authors:  Prson Gautam; Leena Karhinen; Agnieszka Szwajda; Sawan Kumar Jha; Bhagwan Yadav; Tero Aittokallio; Krister Wennerberg
Journal:  Mol Cancer       Date:  2016-05-10       Impact factor: 27.401

10.  Increases in Tumor N-Glycan Polylactosamines Associated with Advanced HER2-Positive and Triple-Negative Breast Cancer Tissues.

Authors:  Danielle A Scott; Rita Casadonte; Barbara Cardinali; Laura Spruill; Anand S Mehta; Franca Carli; Nicole Simone; Mark Kriegsmann; Lucia Del Mastro; Joerg Kriegsmann; Richard R Drake
Journal:  Proteomics Clin Appl       Date:  2019-01       Impact factor: 3.494

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