Literature DB >> 29458967

Improving Cancer Immunotherapies through Empirical Neoantigen Selection.

Catarina Nogueira1, Johanna K Kaufmann1, Hubert Lam2, Jessica B Flechtner3.   

Abstract

Targeting neoantigens has become an attractive strategy for cancer immunotherapy. Epitope prediction algorithms facilitate rapid selection of potential neoantigens, but are plagued with high false-positive and false-negative rates. Here we review ex vivo technologies for biological identification of neoantigens to improve empirical prioritization for immunotherapy.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ATLAS; algorithms; cancer; immunotherapy; minigene; neoantigens

Mesh:

Substances:

Year:  2018        PMID: 29458967     DOI: 10.1016/j.trecan.2017.12.003

Source DB:  PubMed          Journal:  Trends Cancer        ISSN: 2405-8025


  4 in total

1.  Heterogeneity of neoantigen landscape between primary lesions and their matched metastases in lung cancer.

Authors:  Tao Jiang; Ruirui Cheng; Yuanwei Pan; Henghui Zhang; Ying He; Chunxia Su; Shengxiang Ren; Caicun Zhou
Journal:  Transl Lung Cancer Res       Date:  2020-04

Review 2.  Integrating Experiment and Theory to Understand TCR-pMHC Dynamics.

Authors:  Ashley M Buckle; Natalie A Borg
Journal:  Front Immunol       Date:  2018-12-07       Impact factor: 7.561

3.  Tumoral and immune heterogeneity in an anti-PD-1-responsive glioblastoma: a case study.

Authors:  Adilia Hormigo; Bojan Losic; Paula Restrepo; Raymund Yong; Ilaria Laface; Nadejda Tsankova; Kambiz Nael; Guray Akturk; Robert Sebra; Sacha Gnjatic
Journal:  Cold Spring Harb Mol Case Stud       Date:  2020-04-01

Review 4.  Advances in the development of personalized neoantigen-based therapeutic cancer vaccines.

Authors:  Eryn Blass; Patrick A Ott
Journal:  Nat Rev Clin Oncol       Date:  2021-01-20       Impact factor: 65.011

  4 in total

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