pVACtools: a computational toolkit to identify and visualize cancer neoantigens
Identification of neoantigens is a critical step in predicting response to checkpoint blockade
therapy and design of personalized cancer vaccines. This is a cross-disciplinary challenge …
therapy and design of personalized cancer vaccines. This is a cross-disciplinary challenge …
Computational prediction of MHC anchor locations guides neoantigen identification and prioritization
H Xia, J McMichael, M Becker-Hapak… - Science …, 2023 - science.org
Neoantigens are tumor-specific peptide sequences resulting from sources such as somatic
DNA mutations. Upon loading onto major histocompatibility complex (MHC) molecules, they …
DNA mutations. Upon loading onto major histocompatibility complex (MHC) molecules, they …
Neoantigen dissimilarity to the self-proteome predicts immunogenicity and response to immune checkpoint blockade
LP Richman, RH Vonderheide, AJ Rech - Cell systems, 2019 - cell.com
Despite improved methods for MHC affinity prediction, the vast majority of computationally
predicted tumor neoantigens are not immunogenic experimentally, indicating that high …
predicted tumor neoantigens are not immunogenic experimentally, indicating that high …
Best practices for bioinformatic characterization of neoantigens for clinical utility
Neoantigens are newly formed peptides created from somatic mutations that are capable of
inducing tumor-specific T cell recognition. Recently, researchers and clinicians have …
inducing tumor-specific T cell recognition. Recently, researchers and clinicians have …
[HTML][HTML] Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group
Background The use of next-generation sequencing technologies has enabled the rapid
identification of non-synonymous somatic mutations in cancer cells. Neoantigens are …
identification of non-synonymous somatic mutations in cancer cells. Neoantigens are …
'Hotspots' of antigen presentation revealed by human leukocyte antigen ligandomics for neoantigen prioritization
The remarkable clinical efficacy of the immune checkpoint blockade therapies has motivated
researchers to discover immunogenic epitopes and exploit them for personalized vaccines …
researchers to discover immunogenic epitopes and exploit them for personalized vaccines …
Machine-learning prediction of tumor antigen immunogenicity in the selection of therapeutic epitopes
Current tumor neoantigen calling algorithms primarily rely on epitope/major
histocompatibility complex (MHC) binding affinity predictions to rank and select for potential …
histocompatibility complex (MHC) binding affinity predictions to rank and select for potential …
Neoantigen-based personalized cancer vaccines: the emergence of precision cancer immunotherapy
G Richard, MF Princiotta, D Bridon… - Expert Review of …, 2022 - Taylor & Francis
Introduction The field of cancer therapy has undergone a major transformation in less than a
decade due to the introduction of checkpoint inhibitors, the advent of next generation …
decade due to the introduction of checkpoint inhibitors, the advent of next generation …
The changing landscape of therapeutic cancer vaccines—novel platforms and neoantigen identification
J Jou, KJ Harrington, MB Zocca, E Ehrnrooth… - Clinical Cancer …, 2021 - AACR
Therapeutic cancer vaccines, an exciting development in cancer immunotherapy, share the
goal of creating and amplifying tumor-specific T-cell responses, but significant obstacles still …
goal of creating and amplifying tumor-specific T-cell responses, but significant obstacles still …
Cancer neoantigens and applications for immunotherapy
A Desrichard, A Snyder, TA Chan - Clinical Cancer Research, 2016 - AACR
Recent advances in immune checkpoint blockade therapy have revolutionized the treatment
of cancer. Tumor-specific antigens that are generated by somatic mutation, neoantigens, can …
of cancer. Tumor-specific antigens that are generated by somatic mutation, neoantigens, can …