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. 2018 May 14;33(5):853-861.e4.
doi: 10.1016/j.ccell.2018.04.001. Epub 2018 May 3.

Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer

Matthew D Hellmann  1 , Margaret K Callahan  2 , Mark M Awad  3 , Emiliano Calvo  4 , Paolo A Ascierto  5 , Akin Atmaca  6 , Naiyer A Rizvi  7 , Fred R Hirsch  8 , Giovanni Selvaggi  9 , Joseph D Szustakowski  10 , Ariella Sasson  10 , Ryan Golhar  10 , Patrik Vitazka  10 , Han Chang  10 , William J Geese  10 , Scott J Antonia  11
Affiliations

Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer

Matthew D Hellmann et al. Cancer Cell. .

Erratum in

Abstract

Durable responses and encouraging survival have been demonstrated with immune checkpoint inhibitors in small-cell lung cancer (SCLC), but predictive markers are unknown. We used whole exome sequencing to evaluate the impact of tumor mutational burden on efficacy of nivolumab monotherapy or combined with ipilimumab in patients with SCLC from the nonrandomized or randomized cohorts of CheckMate 032. Patients received nivolumab (3 mg/kg every 2 weeks) or nivolumab plus ipilimumab (1 mg/kg plus 3 mg/kg every 3 weeks for four cycles, followed by nivolumab 3 mg/kg every 2 weeks). Efficacy of nivolumab ± ipilimumab was enhanced in patients with high tumor mutational burden. Nivolumab plus ipilimumab appeared to provide a greater clinical benefit than nivolumab monotherapy in the high tumor mutational burden tertile.

Keywords: CTLA-4; PD-1; biomarkers; clinical trial; immunotherapy; ipilimumab; nivolumab; small cell lung cancer; tumor mutation burden.

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Conflict of interest statement

DECLARATION OF INTERESTS

Matthew D. Hellmann reports paid consultancy from AstraZeneca/MedImmune, Bristol-Myers Squibb, Genentech, Janssen, Merck, Mirati Therapeutics, Novartis, Shattuck Labs, research funding from Bristol-Myers Squibb, and patent filed by Memorial Sloan Kettering related to the use of tumor mutation burden to predict response to immunotherapy (PCT/US2015/062208); Margaret K. Callahan reports grants from and employment of a family member by Bristol-Myers Squibb; personal fees for advisory board participation from AstraZeneca and Incyte; Mark M. Awad reports consulting or advisory role for AbbVie, AstraZeneca, Boehringer Ingelheim, Genentech, Merck, and Pfizer; Paolo A. Ascierto reports grants for research funding and personal fees for advisory/consultant role from Array, Bristol-Myers Squibb, and Roche-Genentech, and personal fees for advisory/consultant role from Amgen, Genmab, Incyte, Medimmune, Merck Serono, NewLink Genetics, Novartis, and Pierre Fabre; Akin Atmaca reports travel grants and honoraria for advisory board participation from Bristol-Myers Squibb, Merck Sharp & Dohme, and Roche; Naiyer A. Rizvi reports a leadership role with ARMO Biosciences, stock or other ownership from ARMO Biosciences and Gritstone Oncology, consulting or advisory role for AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Genentech, MedImmune, Merck Sharp & Dohme, Novartis, Pfizer, and Roche; Giovanni Selvaggi reports employment by Bristol-Myers Squibb; Joseph D. Szustakowski reports employment and stock ownership from Bristol-Myers Squibb and previous employment and stock ownership from Novartis; Ariella Sasson reports employment by Bristol-Myers Squibb; Ryan Golhar reports employment by Bristol-Myers Squibb; Patrik Vitazka reports employment by Bristol-Myers Squibb; Han Chang reports employment by Bristol-Myers Squibb; William J. Geese reports employment and stock ownership from Bristol-Myers Squibb; Scott J. Antonia reports stock or other ownership from Cellular Biomedicine Group, and honoraria, consulting or advisory role, travel, accommodations, and expenses from AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, and Merck; all other authors report nothing to disclose.

Figures

Figure 1.
Figure 1.. Flow Diagram of Analyzed Patients.
See also Figures S1-S4, Table S1.
Figure 2.
Figure 2.. Objective Response Rate by Tumor Mutation Burden Tertile.
See also Figure S5 and Tables S2 and S3.
Figure 3.
Figure 3.. Tumor Mutation Burden by Best Overall Response in Individual Patients.
Black lines in each box denote the median. The bottom and top of each box denote the first and third quartile, respectively. The lower whisker denotes the value at 1.5 times the interquartile range below the 25th percentile or the minimum value of the dataset, whichever value is larger. The upper whisker denotes the value at 1.5 times the interquartile range above the 75th percentile or the maximum value of the dataset, whichever value is smaller.
Figure 4.
Figure 4.. Progression-Free Survival by Treatment and Tumor Mutation Burden Tertile.
CI denotes confidence interval.
Figure 5.
Figure 5.. Overall Survival by Treatment and Tumor Mutation Burden Tertile.
CI denotes confidence interval. See also Figure S6.
See this image and copyright information in PMC

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