Literature DB >> 23392436

Comparison of basal-like triple-negative breast cancer defined by morphology, immunohistochemistry and transcriptional profiles.

Patrycja Gazinska1, Anita Grigoriadis, John P Brown, Rosemary R Millis, Anca Mera, Cheryl E Gillett, Lars H Holmberg, Andrew N Tutt, Sarah E Pinder.   

Abstract

Basal-like invasive breast cancer is an important clinical group because of its association with a triple-negative phenotype defined by the lack of expression of estrogen, progesterone and human epidermal growth factor receptors 2, relative lack of therapeutic options and poor prognosis. However, depending on the method used to define these lesions, morphological assessment, immunohistochemical markers or gene expression, a different set of tumors is captured. The aim of this study was to investigate the consequences of using different methodological approaches to define basal-like lesions among triple-negative breast carcinomas with regard to their clinicopathological features and patient outcome. The cohort consisted of 142 invasive breast cancers with a triple-negative receptor status. First, each was reviewed histologically and those with morphological basal-like features were characterized as 'Path-Basal'. Second, the 'Core Basal' immunohistochemical lesions, defined as cytokeratin 5/6 and/or epidermal growth factor receptor 1 positive, within the triple-negative breast cancers were identified, and third their classification based on gene expression profiling was retrieved and those in the molecular 'PAM50 basal-like' subtype recorded. A total of 116 basal-like breast cancers were identified among the 142 triple-negative breast cancers by at least one of these three classifications (80%), but only 13 samples were defined as basal-like with all three methods. None of these 13 tumors were associated with lymphovascular invasion. The 34 morphological 'Path-Basal' lesions were significantly associated with a lack of nodal metastases. Comparing the estimates of death in the three classifications, the highest risk of death was seen for the 'Core Basal' group. In this study, we highlight that the definition of basal-like breast cancer based on different methodologies varies significantly and does not identify the same lesions. This incomplete overlap of cases emphasizes the need for consistent or new approaches to improve precise identification.

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Year:  2013        PMID: 23392436     DOI: 10.1038/modpathol.2012.244

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  42 in total

1.  Modulation of the tumor microenvironment and inhibition of EGF/EGFR pathway: novel anti-tumor mechanisms of Cannabidiol in breast cancer.

Authors:  Mohamad Elbaz; Mohd W Nasser; Janani Ravi; Nissar A Wani; Dinesh K Ahirwar; Helong Zhao; Steve Oghumu; Abhay R Satoskar; Konstantin Shilo; William E Carson; Ramesh K Ganju
Journal:  Mol Oncol       Date:  2015-01-19       Impact factor: 6.603

2.  Diagnosis of Basal-Like Breast Cancer Using a FOXC1-Based Assay.

Authors:  Tor W Jensen; Tania Ray; Jinhua Wang; Xiaodong Li; Wesley Y Naritoku; Bingchen Han; Frank Bellafiore; Sanjay P Bagaria; Annie Qu; Xiaojiang Cui; Clive R Taylor; Partha S Ray
Journal:  J Natl Cancer Inst       Date:  2015-06-03       Impact factor: 13.506

3.  EGFR Signaling Enhances Aerobic Glycolysis in Triple-Negative Breast Cancer Cells to Promote Tumor Growth and Immune Escape.

Authors:  Seung-Oe Lim; Chia-Wei Li; Weiya Xia; Heng-Huan Lee; Shih-Shin Chang; Jia Shen; Jennifer L Hsu; Daniel Raftery; Danijel Djukovic; Haiwei Gu; Wei-Chao Chang; Hung-Ling Wang; Mong-Liang Chen; Longfei Huo; Chung-Hsuan Chen; Yun Wu; Aysegul Sahin; Samir M Hanash; Gabriel N Hortobagyi; Mien-Chie Hung
Journal:  Cancer Res       Date:  2016-01-12       Impact factor: 12.701

4.  Axl receptor tyrosine kinase expression in breast cancer.

Authors:  Timothy M D'Alfonso; Jeffrey Hannah; Zhengming Chen; Yifang Liu; Pengbo Zhou; Sandra J Shin
Journal:  J Clin Pathol       Date:  2014-06-05       Impact factor: 3.411

5.  Genomic Complexity Profiling Reveals That HORMAD1 Overexpression Contributes to Homologous Recombination Deficiency in Triple-Negative Breast Cancers.

Authors:  Johnathan Watkins; Daniel Weekes; Vandna Shah; Patrycja Gazinska; Shalaka Joshi; Bhavna Sidhu; Cheryl Gillett; Sarah Pinder; Fabio Vanoli; Maria Jasin; Markus Mayrhofer; Anders Isaksson; Maggie C U Cheang; Hasan Mirza; Jessica Frankum; Christopher J Lord; Alan Ashworth; Shaveta Vinayak; James M Ford; Melinda L Telli; Anita Grigoriadis; Andrew N J Tutt
Journal:  Cancer Discov       Date:  2015-03-13       Impact factor: 39.397

6.  Anti-Folate Receptor Alpha-Directed Antibody Therapies Restrict the Growth of Triple-negative Breast Cancer.

Authors:  Anthony Cheung; James Opzoomer; Kristina M Ilieva; Patrycja Gazinska; Ricarda M Hoffmann; Hasan Mirza; Rebecca Marlow; Erika Francesch-Domenech; Matthew Fittall; Diana Dominguez Rodriguez; Angela Clifford; Luned Badder; Nirmesh Patel; Silvia Mele; Giulia Pellizzari; Heather J Bax; Silvia Crescioli; Gyula Petranyi; Daniel Larcombe-Young; Debra H Josephs; Silvana Canevari; Mariangela Figini; Sarah Pinder; Frank O Nestle; Cheryl Gillett; James F Spicer; Anita Grigoriadis; Andrew N J Tutt; Sophia N Karagiannis
Journal:  Clin Cancer Res       Date:  2018-08-01       Impact factor: 12.531

7.  Immunological visibility: posttranscriptional regulation of human NKG2D ligands by the EGF receptor pathway.

Authors:  Pierre Vantourout; Carrie Willcox; Andrea Turner; Chad M Swanson; Yasmin Haque; Olga Sobolev; Anita Grigoriadis; Andrew Tutt; Adrian Hayday
Journal:  Sci Transl Med       Date:  2014-04-09       Impact factor: 17.956

8.  PIM1 kinase regulates cell death, tumor growth and chemotherapy response in triple-negative breast cancer.

Authors:  Fara Brasó-Maristany; Simone Filosto; Steven Catchpole; Rebecca Marlow; Jelmar Quist; Erika Francesch-Domenech; Darren A Plumb; Leila Zakka; Patrycja Gazinska; Gianmaria Liccardi; Pascal Meier; Albert Gris-Oliver; Maggie Chon U Cheang; Anna Perdrix-Rosell; Manar Shafat; Elodie Noël; Nirmesh Patel; Kristen McEachern; Maurizio Scaltriti; Pau Castel; Farzana Noor; Richard Buus; Sumi Mathew; Johnathan Watkins; Violeta Serra; Pierfrancesco Marra; Anita Grigoriadis; Andrew N Tutt
Journal:  Nat Med       Date:  2016-10-24       Impact factor: 53.440

9.  An In Silico Analysis Identified FZD9 as a Potential Prognostic Biomarker in Triple-Negative Breast Cancer Patients.

Authors:  Daniel Rodrigues de Bastos; Mércia Patrícia Ferreira Conceição; Ana Paula Picaro Michelli; Jean Michel Rocha Sampaio Leite; Rafael André da Silva; Ricardo Cesar Cintra; Jeniffer Johana Duarte Sanchez; Cesar Augusto Sam Tiago Vilanova-Costa; Antonio Márcio Teodoro Cordeiro Silva
Journal:  Eur J Breast Health       Date:  2020-12-24

10.  L1CAM is expressed in triple-negative breast cancers and is inversely correlated with androgen receptor.

Authors:  Kai Doberstein; Karin Milde-Langosch; Niko P Bretz; Uwe Schirmer; Ayelet Harari; Isabell Witzel; Alon Ben-Arie; Michael Hubalek; Elisabeth Müller-Holzner; Susanne Reinold; Alain G Zeimet; Peter Altevogt; Mina Fogel
Journal:  BMC Cancer       Date:  2014-12-15       Impact factor: 4.430

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