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Clinical activity and molecular correlates of response to atezolizumab alone or in combination with bevacizumab versus sunitinib in renal cell carcinoma

2018; Nature Portfolio; Volume: 24; Issue: 6 Linguagem: Inglês

10.1038/s41591-018-0053-3

1546-170X

David F. McDermott, Mahrukh Huseni, Michael B. Atkins, Robert J. Motzer, Brian I. Rini, Bernard Escudier, Lawrence Fong, Richard W. Joseph, Sumanta K. Pal, James A. Reeves, Mario Sznol, John D. Hainsworth, W. Kimryn Rathmell, Walter M. Stadler, Thomas E. Hutson, Martin Gore, Alain Ravaud, Sergio Bracarda, Cristina Suárez, Riccardo Danielli, Viktor Gruenwald, Toni K. Choueiri, Dorothee Nickles, Suchit Jhunjhunwala, Elisabeth Piault‐Louis, Alpa Thobhani, Jiaheng Qiu, Daniel S. Chen, Priti S. Hegde, Christina Schiff, Gregg Fine, Thomas Powles,

Bladder and Urothelial Cancer Treatments

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. An exploratory randomized controlled clinical trial of renal cell carcinoma identifies molecular patterns distinguishing responders to immune checkpoint blockade alone or combined with angiogenesis inhibitor versus angiogenesis inhibitor alone.