| Literature DB >> 29867230 |
David F McDermott1, Mahrukh A Huseni2, Michael B Atkins3, Robert J Motzer4, Brian I Rini5, Bernard Escudier6, Lawrence Fong7, Richard W Joseph8, Sumanta K Pal9, James A Reeves10, Mario Sznol11, John Hainsworth12, W Kimryn Rathmell13, Walter M Stadler14, Thomas Hutson15, Martin E Gore16, Alain Ravaud17, Sergio Bracarda18, Cristina Suárez19, Riccardo Danielli20, Viktor Gruenwald21, Toni K Choueiri22, Dorothee Nickles2, Suchit Jhunjhunwala2, Elisabeth Piault-Louis2, Alpa Thobhani23, Jiaheng Qiu2, Daniel S Chen2, Priti S Hegde2, Christina Schiff2, Gregg D Fine2, Thomas Powles24.
Abstract
We describe results from IMmotion150, a randomized phase 2 study of atezolizumab (anti-PD-L1) alone or combined with bevacizumab (anti-VEGF) versus sunitinib in 305 patients with treatment-naive metastatic renal cell carcinoma. Co-primary endpoints were progression-free survival (PFS) in intent-to-treat and PD-L1+ populations. Intent-to-treat PFS hazard ratios for atezolizumab + bevacizumab or atezolizumab monotherapy versus sunitinib were 1.0 (95% confidence interval (CI), 0.69-1.45) and 1.19 (95% CI, 0.82-1.71), respectively; PD-L1+ PFS hazard ratios were 0.64 (95% CI, 0.38-1.08) and 1.03 (95% CI, 0.63-1.67), respectively. Exploratory biomarker analyses indicated that tumor mutation and neoantigen burden were not associated with PFS. Angiogenesis, T-effector/IFN-γ response, and myeloid inflammatory gene expression signatures were strongly and differentially associated with PFS within and across the treatments. These molecular profiles suggest that prediction of outcomes with anti-VEGF and immunotherapy may be possible and offer mechanistic insights into how blocking VEGF may overcome resistance to immune checkpoint blockade.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29867230 PMCID: PMC6721896 DOI: 10.1038/s41591-018-0053-3
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 53.440