Literature DB >> 26980598

Neoantigen Load, Antigen Presentation Machinery, and Immune Signatures Determine Prognosis in Clear Cell Renal Cell Carcinoma.

Hirokazu Matsushita1, Yusuke Sato2, Takahiro Karasaki1, Tohru Nakagawa3, Haruki Kume3, Seishi Ogawa4, Yukio Homma3, Kazuhiro Kakimi5.   

Abstract

Tumors commonly harbor multiple genetic alterations, some of which initiate tumorigenesis. Among these, some tumor-specific somatic mutations resulting in mutated protein have the potential to induce antitumor immune responses. To examine the relevance of the latter to immune responses in the tumor and to patient outcomes, we used datasets of whole-exome and RNA sequencing from 97 clear cell renal cell carcinoma (ccRCC) patients to identify neoepitopes predicted to be presented by each patient's autologous HLA molecules. We found that the number of nonsilent or missense mutations did not correlate with patient prognosis. However, combining the number of HLA-restricted neoepitopes with the cell surface expression of HLA or β2-microglobulin(β2M) revealed that an A-neo(hi)/HLA-A(hi) or ABC-neo(hi)/β2M(hi) phenotype correlated with better clinical outcomes. Higher expression of immune-related genes from CD8 T cells and their effector molecules [CD8A, perforin (PRF1) and granzyme A (GZMA)], however, did not correlate with prognosis. This may have been due to the observed correlation of these genes with the expression of other genes that were associated with immunosuppression in the tumor microenvironment (CTLA-4, PD-1, LAG-3, PD-L1, PD-L2, IDO1, and IL10). This suggested that abundant neoepitopes associated with greater antitumor effector immune responses were counterbalanced by a strongly immunosuppressive microenvironment. Therefore, immunosuppressive molecules should be considered high-priority targets for modulating immune responses in patients with ccRCC. Blockade of these molecular pathways could be combined with immunotherapies targeting neoantigens to achieve synergistic antitumor activity. Cancer Immunol Res; 4(5); 463-71. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26980598     DOI: 10.1158/2326-6066.CIR-15-0225

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  37 in total

1.  Genome variation across cancers scales with tissue stiffness - an invasion-mutation mechanism and implications for immune cell infiltration.

Authors:  Charlotte R Pfeifer; Cory M Alvey; Jerome Irianto; Dennis E Discher
Journal:  Curr Opin Syst Biol       Date:  2017-04-27

2.  Tumor vaccines and cellular immunotherapies.

Authors:  John Nemunaitis; Neil Senzer; Leah Plato
Journal:  Ann Transl Med       Date:  2016-10

Review 3.  Predictive biomarkers for checkpoint inhibitor-based immunotherapy.

Authors:  Geoffrey T Gibney; Louis M Weiner; Michael B Atkins
Journal:  Lancet Oncol       Date:  2016-12       Impact factor: 41.316

Review 4.  Targeted Therapies: Immunologic Effects and Potential Applications Outside of Cancer.

Authors:  Anna E Kersh; Spencer Ng; Yun Min Chang; Maiko Sasaki; Susan N Thomas; Haydn T Kissick; Gregory B Lesinski; Ragini R Kudchadkar; Edmund K Waller; Brian P Pollack
Journal:  J Clin Pharmacol       Date:  2017-11-14       Impact factor: 3.126

5.  The frequency of neoantigens per somatic mutation rather than overall mutational load or number of predicted neoantigens per se is a prognostic factor in ovarian clear cell carcinoma.

Authors:  Hirokazu Matsushita; Kosei Hasegawa; Katsutoshi Oda; Shogo Yamamoto; Akira Nishijima; Yuichi Imai; Kayo Asada; Yuji Ikeda; Takahiro Karasaki; Keiichi Fujiwara; Hiroyuki Aburatani; Kazuhiro Kakimi
Journal:  Oncoimmunology       Date:  2017-06-16       Impact factor: 8.110

6.  Identification and validation of significant gene mutations to predict clinical benefit of immune checkpoint inhibitors in lung adenocarcinoma.

Authors:  Ying Chen; Shaoyi Miao; Wancheng Zhao
Journal:  Am J Transl Res       Date:  2021-03-15       Impact factor: 4.060

7.  Unique TP53 neoantigen and the immune microenvironment in long-term survivors of Hepatocellular carcinoma.

Authors:  Lejia Sun; Huayu Yang; Ai Guan; Huanhuan Yin; Meixi Liu; Xinxin Mao; Haifeng Xu; Haitao Zhao; Xin Lu; Xinting Sang; Shouxian Zhong; Qian Chen; Yilei Mao
Journal:  Cancer Immunol Immunother       Date:  2020-09-02       Impact factor: 6.968

8.  Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes.

Authors:  Tianshi Lu; Shidan Wang; Lin Xu; Qinbo Zhou; Nirmish Singla; Jianjun Gao; Subrata Manna; Laurentiu Pop; Zhiqun Xie; Mingyi Chen; Jason J Luke; James Brugarolas; Raquibul Hannan; Tao Wang
Journal:  Sci Immunol       Date:  2020-02-21

9.  Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma.

Authors:  David J Clark; Saravana M Dhanasekaran; Francesca Petralia; Jianbo Pan; Xiaoyu Song; Yingwei Hu; Felipe da Veiga Leprevost; Boris Reva; Tung-Shing M Lih; Hui-Yin Chang; Weiping Ma; Chen Huang; Christopher J Ricketts; Lijun Chen; Azra Krek; Yize Li; Dmitry Rykunov; Qing Kay Li; Lin S Chen; Umut Ozbek; Suhas Vasaikar; Yige Wu; Seungyeul Yoo; Shrabanti Chowdhury; Matthew A Wyczalkowski; Jiayi Ji; Michael Schnaubelt; Andy Kong; Sunantha Sethuraman; Dmitry M Avtonomov; Minghui Ao; Antonio Colaprico; Song Cao; Kyung-Cho Cho; Selim Kalayci; Shiyong Ma; Wenke Liu; Kelly Ruggles; Anna Calinawan; Zeynep H Gümüş; Daniel Geiszler; Emily Kawaler; Guo Ci Teo; Bo Wen; Yuping Zhang; Sarah Keegan; Kai Li; Feng Chen; Nathan Edwards; Phillip M Pierorazio; Xi Steven Chen; Christian P Pavlovich; A Ari Hakimi; Gabriel Brominski; James J Hsieh; Andrzej Antczak; Tatiana Omelchenko; Jan Lubinski; Maciej Wiznerowicz; W Marston Linehan; Christopher R Kinsinger; Mathangi Thiagarajan; Emily S Boja; Mehdi Mesri; Tara Hiltke; Ana I Robles; Henry Rodriguez; Jiang Qian; David Fenyö; Bing Zhang; Li Ding; Eric Schadt; Arul M Chinnaiyan; Zhen Zhang; Gilbert S Omenn; Marcin Cieslik; Daniel W Chan; Alexey I Nesvizhskii; Pei Wang; Hui Zhang
Journal:  Cell       Date:  2019-10-31       Impact factor: 41.582

Review 10.  Tumor Microenvironment Dynamics in Clear-Cell Renal Cell Carcinoma.

Authors:  Lynda Vuong; Ritesh R Kotecha; Martin H Voss; A Ari Hakimi
Journal:  Cancer Discov       Date:  2019-09-16       Impact factor: 39.397

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