Literature DB >> 28314298

Multi-omics Profiling of Patients with Melanoma Treated with Nivolumab in Project HOPE.

Shusuke Yoshikawa1, Yoshio Kiyohara1, Masaki Otsuka1, Ryota Kondou2, Chizu Nonomura2, Haruo Miyata2, Akira Iizuka2, Keiichi Ohshima3, Kenichi Urakami4, Takeshi Nagashima5, Masatoshi Kusuhara6, Takashi Sugino7, Tohru Mochizuki3, Ken Yamaguchi8, Yasuto Akiyama9.   

Abstract

BACKGROUND: Project HOPE (High-tech Omics-based Patient Evaluation) has been in progress since 2014 and uses whole-exome sequencing (WES) and gene expression profiling (GEP). Among a total of 1,685 patients with cancer, 13 with melanoma were registered and characterized using multi-omics analyses to investigate specific biomarkers in responders to programmed cell death-1 (PD-1) blockade.
MATERIALS AND METHODS: The patients with melanoma comprised of six males and seven females, and their mean age was 68 years. Five patients were treated with nivolumab, and two were responders.
RESULTS: GEP analysis demonstrated that PD-L1 expression was positive in for cases, and melanoma-associated antigens and tumor signaling-associated genes were up-regulated in tumor compared with normal tissues. Additionally, WES analysis indicated more single nucleotide variants (SNVs) per melanoma tumor compared to other tumor types. Remarkably, a case of complete remission after nivolumab therapy showed high expression of PD-L1 protein and the highest number of SNVs.
CONCLUSION: The novel approach used in Project HOPE might be an efficient tool that facilitates identifying specific biomarkers predictive of good responders to anti-PD-1 therapy. Copyright
© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  GEP; Japanese melanoma; SNV; WES; gene expression profiling; immune checkpoint antibody; single nucleotide variant; whole-exome sequencing

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Year:  2017        PMID: 28314298     DOI: 10.21873/anticanres.11450

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  2 in total

1.  Immunogenomic Landscape Contributes to Hyperprogressive Disease after Anti-PD-1 Immunotherapy for Cancer.

Authors:  Donghai Xiong; Yian Wang; Arun K Singavi; Alexander C Mackinnon; Ben George; Ming You
Journal:  iScience       Date:  2018-10-25

2.  Immune Profile Analysis in Peripheral Blood and Tumor in Patients with Malignant Melanoma.

Authors:  Ryuichi Saito; Yu Sawada; Motonobu Nakamura
Journal:  Int J Mol Sci       Date:  2021-02-16       Impact factor: 5.923

  2 in total

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