Molecular Characterization of Basal-Like and Non-Basal-Like Triple-Negative Breast Cancer
TLDR
The results suggest that future clinical trials focused on TN disease should consider stratifying patients based upon BL versus non-BL gene expression profiles, which appears to be the main biological difference seen in patients with TN breast cancer.Abstract:
Triple-negative (TN) and basal-like (BL) breast cancer definitions have been used interchangeably to identify breast cancers that lack expression of the hormone receptors and overexpression and/or amplification of HER2. However, both classifications show substantial discordance rates when compared to each other. Here, we molecularly characterize TN tumors and BL tumors, comparing and contrasting the results in terms of common patterns and distinct patterns for each. In total, when testing 412 TN and 473 BL tumors, 21.4% and 31.5% were identified as non-BL and non-TN, respectively. TN tumors identified as luminal or HER2-enriched (HER2E) showed undistinguishable overall gene expression profiles when compared versus luminal or HER2E tumors that were not TN. Similar findings were observed within BL tumors regardless of their TN status, which suggests that molecular subtype is preserved regardless of individual marker results. Interestingly, most TN tumors identified as HER2E showed low HER2 expression and lacked HER2 amplification, despite the similar overall gene expression profiles to HER2E tumors that were clinically HER2-positive. Lastly, additional genomic classifications were examined within TN and BL cancers, most of which were highly concordant with tumor intrinsic subtype. These results suggest that future clinical trials focused on TN disease should consider stratifying patients based upon BL versus non-BL gene expression profiles, which appears to be the main biological difference seen in patients with TN breast cancer.read more
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Triple Negative Breast Cancer Characteristics Based on Basal-like and Non-Basal-like Subtypes
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Comprehensive molecular portraits of human breast tumours
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Teresiak,Honorata Tatka,Ewa Leporowska,Marta Bogusz-Czerniewicz,Julian Malicki,Andrzej Mackiewicz,Maciej Wiznerowicz,Xuan Van Le,Bernard Kohl,Nguyen Viet Tien,Richard Thorp,Nguyen Van Bang,Howard H. Sussman,Bui Duc Phu,Richard A. Hajek,Nguyen Phi Hung,Huynh Quyet Thang,Khurram Z. Khan,Robert Penny,David Mallery,Erin Curley,Candace Shelton,Peggy Yena,James N. Ingle,Fergus J. Couch,Wilma L. Lingle,Tari A. King,Ana M. Gonzalez-Angulo,Ana M. Gonzalez-Angulo,Mary D. Dyer,Shuying Liu,Xiaolong Meng,Modesto Patangan,Frederic Waldman,Frederic Waldman,Hubert Stoppler,W. Kimryn Rathmell,Leigh B. Thorne,Mei Huang,Lori Boice,Ashley Hill,Carl Morrison,Carmelo Gaudioso,Wiam Bshara,Kelly Daily,Sophie C. Egea,Mark D. Pegram,Carmen Gomez-Fernandez,Rajiv Dhir,Rohit Bhargava,Adam Brufsky,Craig D. Shriver,Jeffrey A. Hooke,Jamie Leigh Campbell,Richard J. Mural,Hai Hu,Stella Somiari,Caroline Larson,Brenda Deyarmin,Leonid Kvecher,Albert J. Kovatich,Matthew J. Ellis,Thomas Stricker,Kevin P. White,Olufunmilayo I. Olopade,Chunqing Luo,Yaqin Chen,Ron Bose,Li-Wei Chang,Andrew H. Beck,Todd Pihl,Mark A. Jensen,Robert Sfeir,Ari B. Kahn,Anna Chu,Prachi Kothiyal,Zhining Wang,Eric E. Snyder,Joan Pontius,Brenda Ayala,Mark Backus,Jessica Walton,Julien Baboud,Dominique L. Berton,Matthew C. Nicholls,Deepak Srinivasan,Rohini Raman,Stanley Girshik,Peter A. Kigonya,Shelley Alonso,Rashmi N. Sanbhadti,Sean P. Barletta,David Pot,Margi Sheth,John A. Demchok,Kenna R. Mills Shaw,Liming Yang,Greg Eley,Martin L. Ferguson,Roy Tarnuzzer,Jiashan Zhang,Laura A.L. Dillon,Kenneth H. Buetow,Peter Fielding,Bradley A. Ozenberger,Mark S. Guyer,Heidi J. Sofia,Jacqueline D. Palchik +355 more
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
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