Clinical efficacy and biomarker analysis of neoadjuvant atezolizumab in operable urothelial carcinoma in the ABACUS trial
Powles, Thomas; Kockx, Mark; Rodriguez-Vida, Alejo; Duran, Ignacio; Crabb, Simon J.; van der Heijden, Michiel S.; Szabados, Bernadett; Pous, Albert Font; Gravis, Gwenaelle; Anido Herranz, Urbano; Protheroe, Andrew; Ravaud, Alain; Maillet, Denis; Jose Mendez, Maria; Suarez, Cristina; Linch, Mark; Prendergast, Aaron; van Dam, Pieter-Jan; Stanoeva, Diana; Daelemans, Sofie; Mariathasan, Sanjeev; Tea, Joy S.; Mousa, Kelly; Banchereau, Romain; Castellano, Daniel
Publicación: NATURE MEDICINE
2019
VL / 25 - BP / 1706 - EP / +
abstract
Antibodies targeting PD-1 or its ligand 1 PD-L1 such as atezolizumab, have great efficacy in a proportion of metastatic urothelial cancers1,2. Biomarkers may facilitate identification of these responding tumors3. Neoadjuvant use of these agents is associated with pathological complete response in a spectrum of tumors, including urothelial cancer4-7. Sequential tissue sampling from these studies allowed for detailed on-treatment biomarker analysis. Here, we present a single-arm phase 2 study, investigating two cycles of atezolizumab before cystectomy in 95 patients with muscle-invasive urothelial cancer (ClinicalTrials. gov identifier: NCT02662309). Pathological complete response was the primary endpoint. Secondary endpoints focused on safety, relapse-free survival and biomarker analysis. The pathological complete response rate was 31% (95% confidence interval: 21-41%), achieving the primary efficacy endpoint. Baseline biomarkers showed that the presence of preexisting activated T cells was more prominent than expected and correlated with outcome. Other established biomarkers, such as tumor mutational burden, did not predict outcome, differentiating this from the metastatic setting. Dynamic changes to gene expression signatures and protein biomarkers occurred with therapy, whereas changes in DNA alterations with treatment were uncommon. Responding tumors showed predominant expression of genes related to tissue repair after treatment, making tumor biomarker interpretation challenging in this group. Stromal factors such as transforming growth factor-beta and fibroblast activation protein were linked to resistance, as was high expression of cell cycle gene signatures after treatment.
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