Leena Gandhi
MD, PhD
Professor of Medicine; Director of Thoracic Medical Oncology
👥Biography 个人简介
Leena Gandhi, MD, PhD, is a Professor of Medicine and Director of Thoracic Medical Oncology at NYU Langone Perlmutter Cancer Center, recognized internationally for her leadership of the KEYNOTE-189 trial, which transformed first-line therapy for metastatic non-squamous NSCLC without driver mutations. Her work establishing pembrolizumab plus platinum-pemetrexed as a superior standard over chemotherapy alone reshaped treatment guidelines worldwide and was among the most impactful lung cancer trials of its era. Her research encompasses both clinical trial leadership and translational investigation of immunotherapy biomarkers and resistance mechanisms. Prior to her current role, Gandhi was a faculty member at Dana-Farber Cancer Institute where she built expertise in early-phase drug development and the biology of lung cancer. She has led studies evaluating novel combinations of checkpoint inhibitors with chemotherapy, anti-angiogenic agents, and targeted therapies, seeking to extend the benefit of immunotherapy to a broader patient population. Her translational work investigates tumor and blood-based biomarkers—including PD-L1, TMB, and genomic signatures—to understand why patients respond or fail to respond to immunotherapy-based regimens. Gandhi is actively engaged in mentorship, academic leadership, and guideline development through ASCO, NCCN, and IASLC. She is a frequent presenter at international conferences and a highly cited author whose contributions to first-line NSCLC management continue to inform clinical practice across global treatment settings. Her career reflects a commitment to rigorous trial design paired with the biological insight needed to optimize immunotherapy for each patient.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
KEYNOTE-189: Pembrolizumab plus Chemotherapy
Led the KEYNOTE-189 phase III trial demonstrating that first-line pembrolizumab plus platinum-pemetrexed significantly improved overall survival, progression-free survival, and response rate over chemotherapy alone in metastatic non-squamous NSCLC, establishing a new global standard of care.
Biomarker Research in Chemo-Immunotherapy
Conducted translational analyses within KEYNOTE-189 and related studies to evaluate PD-L1 and TMB as predictors of benefit from pembrolizumab-based combinations, clarifying which patient subgroups derive greatest benefit.
Novel Immunotherapy Combination Strategies
Evaluated combinations of checkpoint inhibitors with anti-angiogenic agents, PARP inhibitors, and other novel therapeutics in NSCLC through early-phase trials, seeking to expand immunotherapy benefit and address primary resistance.
Translational Lung Cancer Drug Development
Contributed to early-phase clinical development programs at Dana-Farber and NYU integrating pharmacodynamic biomarker endpoints, tumor biopsy programs, and circulating biomarker analyses to accelerate the development of novel lung cancer therapeutics.
Representative Works 代表性著作
Pembrolizumab plus Chemotherapy in Metastatic Non-Small-Cell Lung Cancer (KEYNOTE-189)
New England Journal of Medicine (2018)
Phase III trial establishing pembrolizumab plus platinum-pemetrexed as superior first-line therapy for non-squamous NSCLC regardless of PD-L1 expression, transforming the global standard of care.
Updated Overall Survival and Final Efficacy Results From KEYNOTE-189: Pembrolizumab plus Chemotherapy for Metastatic Nonsquamous NSCLC
Journal of Clinical Oncology (2020)
Long-term follow-up confirming sustained overall survival benefit with pembrolizumab plus chemotherapy and characterizing outcomes by PD-L1 expression subgroups.
Olaparib Monotherapy in Patients with Advanced Relapsed Ovarian Cancer and a Germline BRCA1/2 Mutation: A Preplanned Cohort Analysis
Lancet Oncology (2014)
Contributed to translational drug development programs that informed combination strategies for checkpoint inhibitors with DNA damage response agents in solid tumors including lung cancer.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-04-05 | All information from publicly available academic sources
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