Carolin Hartung1, Martin Porsch2, Kathrin Stückrath1, Sandy Kaufhold1, Martin S Staege3, Volker Hanf4, Tilmann Lantzsch5, Christoph Uleer6, Susanne Peschel7, Jutta John8, Marleen Pöhler9, Edith Weigert10, Jörg Buchmann11, Karl-Friedrich Bürrig12, Kathleen Schüler1, Daniel Bethmann13, Ivo Große2,14, Eva Johanna Kantelhardt1, Christoph Thomssen1, Martina Vetter1. 1. Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany. 2. Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany. 3. Department of Surgical and Conservative Pediatrics and Adolescent Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany. 4. Department of Gynecology, Nathanstift, Hospital Fürth, Fürth, Germany. 5. Department of Gynecology, Hospital St. Elisabeth and St. Barbara, Halle (Saale), Germany. 6. Gynäkologisch-Onkologische Praxis, Hildesheim, Germany. 7. Department of Gynecology, St. Bernward Hospital, Hildesheim, Germany. 8. Department of Gynecology, Helios Hospital Hildesheim, Hildesheim, Germany. 9. Department of Gynecology, Asklepios Hospital Goslar, Goslar, Germany. 10. Institute of Pathology, Hospital Fürth, Fürth, Germany. 11. Institute of Pathology, Hospital Martha-Maria, Halle (Saale), Germany. 12. Institute of Pathology Hildesheim, Hildesheim, Germany. 13. Institute of Pathology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany. 14. German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany.
Abstract
INTRODUCTION: Triple-negative breast cancer (TNBC) is considered the most aggressive type of breast cancer (BC) with limited options for therapy. TNBC is a heterogeneous disease and tumors have been classified into TNBC subtypes using gene expression profiling to distinguish basal-like 1, basal-like 2, immunomodulatory, mesenchymal, mesenchymal stem-like, luminal androgen receptor (LAR), and one nonclassifiable group (called unstable). OBJECTIVES: The aim of this study was to verify the clinical relevance of molecular subtyping of TNBCs to improve the individual indication of systemic therapy. PATIENTS AND METHODS: Molecular subtyping was performed in 124 (82%) of 152 TNBC tumors that were obtained from a prospective, multicenter cohort including 1,270 histopathologically confirmed invasive, nonmetastatic BCs (NCT01592825). Treatment was guideline-based. TNBC subtypes were correlated with recurrence-free interval (RFI) and overall survival (OS) after 5 years of observation. RESULTS: Using PAM50 analysis, 87% of the tumors were typed as basal with an inferior clinical outcome compared to patients with nonbasal tumors. Using the TNBCtype-6 classifier, we identified 23 (15%) of TNBCs as LAR subtype. After standard adjuvant or neoadjuvant chemotherapy, patients with LAR subtype showed the most events for 5-year RFI (66.7 vs. 80.6%) and the poorest probability of 5-year OS (60.0 vs. 84.4%) compared to patients with non-LAR disease (RFI: adjusted hazard ratio [aHR] = 1.87, 95% confidence interval [CI] 0.69-5.05, p = 0.211; OS: aHR = 2.74, 95% CI 1.06-7.10, p = 0.037). CONCLUSION: Molecular analysis and subtyping of TNBC may be relevant to identify patients with LAR subtype. These cancers seem to be less sensitive to conventional chemotherapy, and new treatment options, including androgen receptor-blocking agents and immune checkpoint inhibitors, have to be explored.
INTRODUCTION: Triple-negative breast cancer (TNBC) is considered the most aggressive type of breast cancer (BC) with limited options for therapy. TNBC is a heterogeneous disease and tumors have been classified into TNBC subtypes using gene expression profiling to distinguish basal-like 1, basal-like 2, immunomodulatory, mesenchymal, mesenchymal stem-like, luminal androgen receptor (LAR), and one nonclassifiable group (called unstable). OBJECTIVES: The aim of this study was to verify the clinical relevance of molecular subtyping of TNBCs to improve the individual indication of systemic therapy. PATIENTS AND METHODS: Molecular subtyping was performed in 124 (82%) of 152 TNBC tumors that were obtained from a prospective, multicenter cohort including 1,270 histopathologically confirmed invasive, nonmetastatic BCs (NCT01592825). Treatment was guideline-based. TNBC subtypes were correlated with recurrence-free interval (RFI) and overall survival (OS) after 5 years of observation. RESULTS: Using PAM50 analysis, 87% of the tumors were typed as basal with an inferior clinical outcome compared to patients with nonbasal tumors. Using the TNBCtype-6 classifier, we identified 23 (15%) of TNBCs as LAR subtype. After standard adjuvant or neoadjuvant chemotherapy, patients with LAR subtype showed the most events for 5-year RFI (66.7 vs. 80.6%) and the poorest probability of 5-year OS (60.0 vs. 84.4%) compared to patients with non-LAR disease (RFI: adjusted hazard ratio [aHR] = 1.87, 95% confidence interval [CI] 0.69-5.05, p = 0.211; OS: aHR = 2.74, 95% CI 1.06-7.10, p = 0.037). CONCLUSION: Molecular analysis and subtyping of TNBC may be relevant to identify patients with LAR subtype. These cancers seem to be less sensitive to conventional chemotherapy, and new treatment options, including androgen receptor-blocking agents and immune checkpoint inhibitors, have to be explored.
Authors: Lisa M McShane; Douglas G Altman; Willi Sauerbrei; Sheila E Taube; Massimo Gion; Gary M Clark Journal: Eur J Cancer Date: 2005-08 Impact factor: 9.162
Authors: Xiaoxian Li; Jing Yang; Limin Peng; Aysegul A Sahin; Lei Huo; Kevin C Ward; Ruth O'Regan; Mylin A Torres; Jane L Meisel Journal: Breast Cancer Res Treat Date: 2016-11-25 Impact factor: 4.872
Authors: Otto Metzger-Filho; Andrew Tutt; Evandro de Azambuja; Kamal S Saini; Giuseppe Viale; Sherene Loi; Ian Bradbury; Judith M Bliss; Hatem A Azim; Paul Ellis; Angelo Di Leo; José Baselga; Christos Sotiriou; Martine Piccart-Gebhart Journal: J Clin Oncol Date: 2012-03-26 Impact factor: 44.544
Authors: Evi Berchtold; Martina Vetter; Melanie Gündert; Gergely Csaba; Christine Fathke; Susanne E Ulbrich; Christoph Thomssen; Ralf Zimmer; Eva J Kantelhardt Journal: Bioinformatics Date: 2019-09-15 Impact factor: 6.937
Authors: Clifford A Hudis; William E Barlow; Joseph P Costantino; Robert J Gray; Kathleen I Pritchard; Judith-Anne W Chapman; Joseph A Sparano; Sally Hunsberger; Rebecca A Enos; Richard D Gelber; Jo Anne Zujewski Journal: J Clin Oncol Date: 2007-05-20 Impact factor: 44.544
Authors: Padmashree Rida; Angela Ogden; Ian O Ellis; Zsuzsanna Varga; Antonio C Wolff; Tiffany A Traina; Christos Hatzis; Julie R Palmer; Christine B Ambrosone; Brian D Lehmann; Rita Nanda; Valerie Montgomery Rice; Otis W Brawley; Mylin A Torres; Emad Rakha; Ritu Aneja Journal: Breast Cancer Res Treat Date: 2018-02-08 Impact factor: 4.872
Authors: Brian D Lehmann; Vandana G Abramson; Melinda E Sanders; Erica L Mayer; Tufia C Haddad; Rita Nanda; Catherine Van Poznak; Anna Maria Storniolo; Julie R Nangia; Paula I Gonzalez-Ericsson; Violeta Sanchez; Kimberly N Johnson; Richard G Abramson; Sheau-Chiann Chen; Yu Shyr; Carlos L Arteaga; Antonio C Wolff; Jennifer A Pietenpol Journal: Clin Cancer Res Date: 2019-12-10 Impact factor: 12.531
Authors: Isabell Witzel; Sibylle Loibl; Ralph Wirtz; Peter A Fasching; Carsten Denkert; Karsten Weber; Hans-Joachim Lück; Jens Huober; Thomas Karn; Marion von Mackelenbergh; Frederik Marmé; Christian Schem; Elmar Stickeler; Michael Untch; Volkmar Müller Journal: Br J Cancer Date: 2019-11-15 Impact factor: 7.640
Authors: Mercedes Herrera Juarez; Pablo Tolosa Ortega; Ana Sanchez de Torre; Eva Ciruelos Gil Journal: Breast Care (Basel) Date: 2020-06-05 Impact factor: 2.860