Literature DB >> 34039647

High Response Rate and Durability Driven by HLA Genetic Diversity in Patients with Kidney Cancer Treated with Lenvatinib and Pembrolizumab.

Chung-Han Lee1, Renzo G DiNatale2,3,4, Diego Chowell2,4, Chirag Krishna4,5, Vladimir Makarov4,5, Cristina Valero2,4, Lynda Vuong2,4, Mark Lee2,4, Kate Weiss2,4, Doug Hoen2,4, Luc Morris2,4, Ed Reznik2,6,7, Samuel Murray8, Ritesh Kotecha8, Martin H Voss8, Maria I Carlo8, Darren Feldman8, Pallavi Sachdev9, Yusuke Adachi10, Yukinori Minoshima10, Junji Matsui9, Yasuhiro Funahashi10, Kenichi Nomoto9, A Ari Hakimi2,3, Robert J Motzer8, Timothy A Chan11,4,12,13.   

Abstract

Immune checkpoint blockade (ICB) therapy has substantially improved the outcomes of patients with many types of cancers, including renal cell carcinoma (RCC). Initially studied as monotherapy, immunotherapy-based combination regimens have improved the clinical benefit achieved by ICB monotherapy and have revolutionized RCC treatment. While biomarkers like PD-L1 and tumor mutational burden (TMB) are FDA approved as biomarkers for ICB monotherapy, there are no known biomarkers for combination immunotherapies. Here, we describe the clinical outcomes and genomic determinants of response from a phase Ib/II clinical trial on patients with advanced RCC evaluating the efficacy of lenvatinib, a multi-kinase inhibitor mainly targeting VEGFR and FGFR plus pembrolizumab, an anti-PD1 immunotherapy. Concurrent treatment with lenvatinib and pembrolizumab resulted in an objective response rate of 79% (19/24) and tumor shrinkage in 96% (23/24) of patients. While tumor mutational burden (TMB) did not predict for clinical benefit, germline HLA-I diversity strongly impacted treatment efficacy. Specifically, HLA-I evolutionary divergence (HED), which measures the breadth of a patient's immunopeptidome, was associated with both improved clinical benefit and durability of response. Our results identify lenvatinib plus pembrolizumab as a highly active treatment strategy in RCC and reveal HLA-I diversity as a critical determinant of efficacy for this combination. HED also predicted better survival in a separate cohort of patients with RCC following therapy with anti-PD-1-based combination therapy. IMPLICATIONS: These findings have substantial implications for RCC therapy and for understanding immunogenetic mechanisms of efficacy and warrants further investigation. ©2021 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34039647      PMCID: PMC8419018          DOI: 10.1158/1541-7786.MCR-21-0053

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  71 in total

1.  A major chromatin regulator determines resistance of tumor cells to T cell-mediated killing.

Authors:  Deng Pan; Aya Kobayashi; Peng Jiang; Lucas Ferrari de Andrade; Rong En Tay; Adrienne M Luoma; Daphne Tsoucas; Xintao Qiu; Klothilda Lim; Prakash Rao; Henry W Long; Guo-Cheng Yuan; John Doench; Myles Brown; X Shirley Liu; Kai W Wucherpfennig
Journal:  Science       Date:  2018-01-04       Impact factor: 47.728

2.  Pembrolizumab plus Chemotherapy in Lung Cancer.

Authors:  Leena Gandhi; Marina C Garassino
Journal:  N Engl J Med       Date:  2018-09-13       Impact factor: 91.245

3.  Lenvatinib, everolimus, and the combination in patients with metastatic renal cell carcinoma: a randomised, phase 2, open-label, multicentre trial.

Authors:  Robert J Motzer; Thomas E Hutson; Hilary Glen; M Dror Michaelson; Ana Molina; Timothy Eisen; Jacek Jassem; Jakub Zolnierek; Jose Pablo Maroto; Begoña Mellado; Bohuslav Melichar; Jiri Tomasek; Alton Kremer; Han-Joo Kim; Karen Wood; Corina Dutcus; James Larkin
Journal:  Lancet Oncol       Date:  2015-10-22       Impact factor: 41.316

Review 4.  The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy.

Authors:  Jonathan J Havel; Diego Chowell; Timothy A Chan
Journal:  Nat Rev Cancer       Date:  2019-03       Impact factor: 60.716

5.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

Authors:  Ethan Cerami; Jianjiong Gao; Ugur Dogrusoz; Benjamin E Gross; Selcuk Onur Sumer; Bülent Arman Aksoy; Anders Jacobsen; Caitlin J Byrne; Michael L Heuer; Erik Larsson; Yevgeniy Antipin; Boris Reva; Arthur P Goldberg; Chris Sander; Nikolaus Schultz
Journal:  Cancer Discov       Date:  2012-05       Impact factor: 39.397

6.  Comparison of exome-based HLA class I genotyping tools: identification of platform-specific genotyping errors.

Authors:  Kazuma Kiyotani; Tu H Mai; Yusuke Nakamura
Journal:  J Hum Genet       Date:  2016-11-24       Impact factor: 3.172

7.  Benchmarking the HLA typing performance of Polysolver and Optitype in 50 Danish parental trios.

Authors:  Maria Luisa Matey-Hernandez; Søren Brunak; Jose M G Izarzugaza
Journal:  BMC Bioinformatics       Date:  2018-06-25       Impact factor: 3.169

8.  Molecular correlates of response to nivolumab at baseline and on treatment in patients with RCC.

Authors:  Petra Ross-Macdonald; Alice M Walsh; Scott D Chasalow; Ron Ammar; Simon Papillon-Cavanagh; Peter M Szabo; Toni K Choueiri; Mario Sznol; Megan Wind-Rotolo
Journal:  J Immunother Cancer       Date:  2021-03       Impact factor: 13.751

9.  T cell receptor repertoire features associated with survival in immunotherapy-treated pancreatic ductal adenocarcinoma.

Authors:  Alexander C Hopkins; Mark Yarchoan; Jennifer N Durham; Erik C Yusko; Julie A Rytlewski; Harlan S Robins; Daniel A Laheru; Dung T Le; Eric R Lutz; Elizabeth M Jaffee
Journal:  JCI Insight       Date:  2018-07-12

10.  Lenvatinib, an angiogenesis inhibitor targeting VEGFR/FGFR, shows broad antitumor activity in human tumor xenograft models associated with microvessel density and pericyte coverage.

Authors:  Yuji Yamamoto; Junji Matsui; Tomohiro Matsushima; Hiroshi Obaishi; Kazuki Miyazaki; Katsuji Nakamura; Osamu Tohyama; Taro Semba; Atsumi Yamaguchi; Sachi Suzuki Hoshi; Fusayo Mimura; Toru Haneda; Yoshio Fukuda; Jun-Ichi Kamata; Keiko Takahashi; Masayuki Matsukura; Toshiaki Wakabayashi; Makoto Asada; Ken-Ichi Nomoto; Tatsuo Watanabe; Zoltan Dezso; Kentaro Yoshimatsu; Yasuhiro Funahashi; Akihiko Tsuruoka
Journal:  Vasc Cell       Date:  2014-09-06
View more
  2 in total

Review 1.  Next-generation sequencing: unraveling genetic mechanisms that shape cancer immunotherapy efficacy.

Authors:  Ahmed Halima; Winston Vuong; Timothy A Chan
Journal:  J Clin Invest       Date:  2022-06-15       Impact factor: 19.456

Review 2.  Novel emerging biomarkers to immunotherapy in kidney cancer.

Authors:  Yasser Ged; Martin H Voss
Journal:  Ther Adv Med Oncol       Date:  2021-11-25       Impact factor: 8.168

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.