Literature DB >> 31088845

Reduced Neoantigen Expression Revealed by Longitudinal Multiomics as a Possible Immune Evasion Mechanism in Glioma.

Takahide Nejo1,2, Hirokazu Matsushita2,3, Takahiro Karasaki2,3, Masashi Nomura1,4, Kuniaki Saito5, Shota Tanaka1, Shunsaku Takayanagi1, Taijun Hana1,4, Satoshi Takahashi1, Yosuke Kitagawa1, Tsukasa Koike1, Yukari Kobayashi2, Genta Nagae4, Shogo Yamamoto4, Hiroki Ueda4, Kenji Tatsuno4, Yoshitaka Narita6, Motoo Nagane5, Keisuke Ueki7, Ryo Nishikawa8, Hiroyuki Aburatani9, Akitake Mukasa10, Nobuhito Saito1, Kazuhiro Kakimi11,3.   

Abstract

Immune-based therapies have shown limited efficacy in glioma thus far. This might be at least in part due to insufficient numbers of neoantigens, thought to be targets of immune attack. In addition, we hypothesized that dynamic genetic and epigenetic tumor evolution in gliomas might also affect the mutation/neoantigen landscape and contribute to treatment resistance through immune evasion. Here, we investigated changes in the neoantigen landscape and immunologic features during glioma progression using exome and RNA-seq of paired primary and recurrent tumor samples obtained from 25 WHO grade II-IV glioma patients (glioblastoma, IDH-wild-type, n = 8; grade II-III astrocytoma, IDH-mutant, n = 9; and grade II-III oligodendroglioma, IDH-mutant, 1p/19q-codeleted, n = 8). The number of missense mutations, predicted neoantigens, or expressed neoantigens was not significantly different between primary and recurrent tumors. However, we found that in individual patients the ratio of expressed neoantigens to predicted neoantigens, designated the "neoantigen expression ratio," decreased significantly at recurrence (P = 0.003). This phenomenon was particularly pronounced for "high-affinity," "clonal," and "passenger gene-derived" neoantigens. Gene expression and IHC analyses suggested that the decreased neoantigen expression ratio was associated with intact antigen presentation machinery, increased tumor-infiltrating immune cells, and ongoing immune responses. Our findings imply that decreased expression of highly immunogenic neoantigens, possibly due to persistent immune selection pressure, might be one of the immune evasion mechanisms along with tumor clonal evolution in some gliomas. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31088845     DOI: 10.1158/2326-6066.CIR-18-0599

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


  25 in total

Review 1.  A Darwinian perspective on tumor immune evasion.

Authors:  Julieann Puleo; Kornelia Polyak
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2021-12-18       Impact factor: 10.680

Review 2.  Beyond Sequencing: Prioritizing and Delivering Neoantigens for Cancer Vaccines.

Authors:  Alexander S Roesler; Karen S Anderson
Journal:  Methods Mol Biol       Date:  2022

Review 3.  The current state of immunotherapy for primary and secondary brain tumors: similarities and differences.

Authors:  Takahide Nejo; Abigail Mende; Hideho Okada
Journal:  Jpn J Clin Oncol       Date:  2020-10-22       Impact factor: 3.019

4.  A stealth antigen SPESP1, which is epigenetically silenced in tumors, is a suitable target for cancer immunotherapy.

Authors:  Akemi Kosaka; Yuki Yajima; Mayumi Hatayama; Katsuya Ikuta; Takaaki Sasaki; Noriko Hirai; Syunsuke Yasuda; Marino Nagata; Ryusuke Hayashi; Shohei Harabuchi; Kenzo Ohara; Mizuho Ohara; Takumi Kumai; Kei Ishibashi; Yui Hirata-Nozaki; Toshihiro Nagato; Kensuke Oikawa; Yasuaki Harabuchi; Esteban Celis; Toshikatsu Okumura; Yoshinobu Ohsaki; Hiroya Kobayashi; Takayuki Ohkuri
Journal:  Cancer Sci       Date:  2021-06-03       Impact factor: 6.716

Review 5.  TCR-like CARs and TCR-CARs targeting neoepitopes: an emerging potential.

Authors:  Mansour Poorebrahim; Niloufar Mohammadkhani; Reza Mahmoudi; Monireh Gholizadeh; Elham Fakhr; Angel Cid-Arregui
Journal:  Cancer Gene Ther       Date:  2021-03-02       Impact factor: 5.987

6.  S100A gene family: immune-related prognostic biomarkers and therapeutic targets for low-grade glioma.

Authors:  Yu Zhang; Xin Yang; Xiao-Lin Zhu; Hao Bai; Zhuang-Zhuang Wang; Jun-Jie Zhang; Chun-Yan Hao; Hu-Bin Duan
Journal:  Aging (Albany NY)       Date:  2021-06-08       Impact factor: 5.682

Review 7.  Exploiting Tumor Neoantigens to Target Cancer Evolution: Current Challenges and Promising Therapeutic Approaches.

Authors:  Ravi G Gupta; Fenge Li; Jason Roszik; Gregory Lizée
Journal:  Cancer Discov       Date:  2021-03-15       Impact factor: 38.272

8.  Neoantigen load and HLA-class I expression identify a subgroup of tumors with a T-cell-inflamed phenotype and favorable prognosis in homologous recombination-proficient high-grade serous ovarian carcinoma.

Authors:  Hirokazu Matsushita; Kosei Hasegawa; Katsutoshi Oda; Shogo Yamamoto; Kayo Asada; Takahiro Karasaki; Akira Yabuno; Akira Nishijima; Takahide Nejo; Yukari Kobayashi; Sho Sato; Yuji Ikeda; Manami Miyai; Yusuke Takahashi; Rui Yamaguchi; Keiichi Fujiwara; Hiroyuki Aburatani; Kazuhiro Kakimi
Journal:  J Immunother Cancer       Date:  2020-05       Impact factor: 13.751

Review 9.  Personalized neoantigen vaccination with synthetic long peptides: recent advances and future perspectives.

Authors:  Xiaotong Chen; Ju Yang; Lifeng Wang; Baorui Liu
Journal:  Theranostics       Date:  2020-05-15       Impact factor: 11.556

Review 10.  Tumor neoantigens: from basic research to clinical applications.

Authors:  Tao Jiang; Tao Shi; Henghui Zhang; Jie Hu; Yuanlin Song; Jia Wei; Shengxiang Ren; Caicun Zhou
Journal:  J Hematol Oncol       Date:  2019-09-06       Impact factor: 17.388

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