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584 Evaluation of a composite immunotherapy signature in non-small cell lung cancer patients treated with atezolizumab
  1. Khaled Tolba1,
  2. David Gandara2,
  3. Meagan Montesion1,
  4. Barzin Nabet3,
  5. Minu Srivastava3,
  6. Lee Albacker1,
  7. Mary Redman4,
  8. David Kozono5,
  9. Craig Cummings3,
  10. Roy Herbst6,
  11. David Shames3 and
  12. David Fabrizio1
  1. 1Foundation Medicine, Cambridge, MA, United States
  2. 2UC Davis, Sacramento, CA, United States
  3. 3Genentech, South San Francisco, CA, United States
  4. 4Fred Hutchinson Cancer Research Center, Seattle, WA, United States
  5. 5Brigham and Women Hospital, Harvard, Boston, MA, United States
  6. 6Yale University, New Haven, CT, United States


Background Immune checkpoint inhibitors have transformed the care of NSCLC, however many patients do not respond and current biomarkers have limited predictive value. While current guidelines recommend that patients with advanced NSCLC undergo large panel NGS to guide treatment selection, most of the genomic data generated are rarely utilized for therapeutic decision making in the absence of an actionable driver mutation. In this work, we validated a composite IO biomarker that integrates multiple genomic features readily available on large-panel NGS to predict response to ICI in NSCLC patients.

Methods OAK is a phase III trial that randomized 1250 patients with advanced stage NSCLC who progressed on initial platinum therapy to receive atezolizumab (Atezo) or docetaxel until disease progression (1). 239 participants with Foundation Medicine tissue NGS were included and 180 were WT for EGFR, ALK, ROS1, BRAF, MET and RET, of whom 86 received Atezo while 94 received docetaxel. We tested the predictive value of 7 biomarkers that had been trained previously on a subset of squamous lung patients treated with immunotherapy and were part of the Lung-MAP clinical trial, including TMB < 10, 10-19 and ≥ 20 Mut/Mb; PD-L1 IHC <1%, 1-49% and ≥ 50%; mutations or loss of ARID1A, KEAP1, STK11, CDKN2A; and altered DDR defined as functional loss of one or more of these 7 genes: ATM, BRCA2, BRIP1, MRE11, POLE, MSH2 and PARP1. A nominal system included binning scores based on individual biomarker positivity of 0-2, 3-4 or 5-8 (IO signature low, medium, high). We used a Cox proportional hazards regression model to investigate the effect of individual covariates and three composite bins on OS of the two treatment arms.

Results Individual biomarker analysis showed that TMB ≥ 20 exerted the greatest effect on OS in Atezo-treated patients (HR= 0.4, P = 0.07). Altered DDR, PD-L1 >50% and STK11 loss numerically impacted OS but did not reach statistical significance due to small sample size. High IO signature correlated with improved OS within the Atezo-treated patients, yielding a median OS of 23 months vs. 7 months (HR=0.38; 95% CI, 0.18-0.81) between high vs. low, as well as a median OS of 23 months vs. 10 months between Atezo and docetaxel treated patients within the high IO signature subpopulations (HR=0.68; 95% CI, 0.34-1.3).

Conclusions Our data suggest that Composite IO signature might be more accurate and informative than a single biomarker in guiding ICI treatment selection in NSCLC.

Trial Registration OAK Trial NCT02008227


  1. Achim Rittmeyer, Fabrice Barlesi, Daniel Waterkamp, Keunchil Park, Fortunato Ciardiello, Joachim von Pawel, Shirish M Gadgeel, Toyoaki Hida, Dariusz M Kowalski, Manuel Cobo Dols, Diego L Cortinovis, Joseph Leach, Jonathan Polikoff, Carlos Barrios, Fairooz Kabbinavar, Osvaldo Arén Frontera, Filippo De Marinis, Hande Turna, Jong-Seok Lee, Marcus Ballinger, Marcin Kowanetz, Pei He, Daniel S Chen, Alan Sandler, David R Gandara. Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicentre randomised controlled trial. The Lancet 2017;389(10066).

Ethics Approval All patients signed informed consent prior to publication of the original study manuscript at the Lancet in 2017.

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