Matthew J. Ellis
马修·埃利斯
MB BChir, PhD, FMedSci
Director, Lester and Sue Smith Breast Center; Professor of Medicine史密斯乳腺中心主任;医学教授
👥Biography 个人简介
Matthew J. Ellis, MB BChir, PhD, FMedSci is Director of the Lester and Sue Smith Breast Center and Professor of Medicine at Baylor College of Medicine, and a pioneer in the genomic characterization and endocrine treatment of luminal (HR-positive) breast cancer. He directed the neoadjuvant window-of-opportunity breast cancer research program at Washington University in St. Louis before moving to Baylor, where he has continued landmark translational work connecting tumor genomics to treatment outcomes. He led the genomic analysis of the TCGA (The Cancer Genome Atlas) breast cancer dataset, published in Nature in 2012, which comprehensively characterized the somatic landscape of breast cancer subtypes and revealed that luminal A tumors share more molecular similarity with ovarian cancer than with basal-like tumors. Prof. Ellis also served as principal investigator for the PALLAS trial, the large randomized adjuvant trial evaluating palbociclib combined with endocrine therapy in HR+/HER2- early breast cancer. Published in the Journal of Clinical Oncology in 2021, PALLAS did not demonstrate improved iDFS with palbociclib, in contrast to MonarchE, prompting important investigations into potential differences in CDK4/6 inhibitor biology, treatment duration, and patient selection. His laboratory's work on the functional genomics of endocrine resistance, CCND1 amplification, and CDK4/6 pathway biology has illuminated why responses to CDK4/6 inhibition differ across the HR+ early breast cancer population.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
PALLAS Trial: Palbociclib in Early HR+/HER2- Breast Cancer
Principal investigator of PALLAS, the large phase III randomized trial of palbociclib plus endocrine therapy versus endocrine therapy alone in HR+/HER2- early breast cancer. The null result generated crucial insights into CDK4/6 inhibitor biology and patient selection, distinguishing mechanisms from abemaciclib and informing ongoing adjuvant CDK4/6 inhibitor research.
TCGA Comprehensive Molecular Characterization of Breast Cancer
Led the genomic analysis reported in Nature 2012 comprehensively characterizing the molecular landscape of breast cancer subtypes, establishing that luminal A tumors share genomic features with low-grade serous ovarian cancer and informing subsequent targeted therapy strategies in HR+ breast cancer.
Neoadjuvant Endocrine Therapy and Genomic Biomarkers
Pioneered the use of neoadjuvant letrozole or anastrozole as a research platform to study endocrine response and resistance in luminal breast cancer, developing Ki67-based and multigene assay endpoints that now serve as standard metrics in neoadjuvant endocrine window trials.
Representative Works 代表性著作
Palbociclib and Endocrine-Based Treatment in Early Breast Cancer: PALLAS Trial Results
Journal of Clinical Oncology (2021)
Report of the PALLAS randomized trial showing no improvement in invasive DFS with two years of palbociclib combined with endocrine therapy compared with endocrine therapy alone in HR+/HER2- early breast cancer, raising questions about the duration, patient selection, and mechanism of CDK4/6 inhibition in the adjuvant setting.
Comprehensive molecular portraits of human breast tumours (TCGA)
Nature (2012)
TCGA breast cancer analysis providing the most comprehensive genomic characterization of breast cancer subtypes at the time, revealing the molecular heterogeneity within subtypes and highlighting shared features between luminal A and ovarian cancers that subsequently guided targeted therapy development.
Aromatase inhibitors versus tamoxifen in early breast cancer: patient-level meta-analysis of the randomised trials
The Lancet (2015)
Collaborative patient-level meta-analysis demonstrating the superiority of aromatase inhibitors over tamoxifen for reducing breast cancer recurrence and mortality in postmenopausal women with HR+ early breast cancer, providing evidence that underpins international treatment guidelines.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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