Best practices for bioinformatic characterization of neoantigens for clinical utility

MM Richters, H Xia, KM Campbell, WE Gillanders… - Genome medicine, 2019 - Springer
Neoantigens are newly formed peptides created from somatic mutations that are capable of
inducing tumor-specific T cell recognition. Recently, researchers and clinicians have …

[HTML][HTML] Machine learning methods and harmonized datasets improve immunogenic neoantigen prediction

M Müller, F Huber, M Arnaud, AI Kraemer, ER Altimiras… - Immunity, 2023 - cell.com
The accurate selection of neoantigens that bind to class I human leukocyte antigen (HLA)
and are recognized by autologous T cells is a crucial step in many cancer immunotherapy …

[HTML][HTML] Neopepsee: accurate genome-level prediction of neoantigens by harnessing sequence and amino acid immunogenicity information

S Kim, HS Kim, E Kim, MG Lee, EC Shin, S Paik - Annals of Oncology, 2018 - Elsevier
Background Tumor-specific mutations form novel immunogenic peptides called
neoantigens. Neoantigens can be used as a biomarker predicting patient response to …

NEPdb: a database of T-cell experimentally-validated neoantigens and pan-cancer predicted neoepitopes for cancer immunotherapy

J Xia, P Bai, W Fan, Q Li, Y Li, D Wang, L Yin… - Frontiers in …, 2021 - frontiersin.org
T-cell recognition of somatic mutation-derived cancer neoepitopes can lead to tumor
regression. Due to the difficulty to identify effective neoepitopes, constructing a database for …

[HTML][HTML] Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group

L De Mattos-Arruda, M Vazquez, F Finotello, R Lepore… - Annals of oncology, 2020 - Elsevier
Background The use of next-generation sequencing technologies has enabled the rapid
identification of non-synonymous somatic mutations in cancer cells. Neoantigens are …

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 …

NeoPredPipe: high-throughput neoantigen prediction and recognition potential pipeline

RO Schenck, E Lakatos, C Gatenbee, TA Graham… - BMC …, 2019 - Springer
Background Next generation sequencing has yielded an unparalleled means of quickly
determining the molecular make-up of patient tumors. In conjunction with emerging, effective …

dbPepNeo: a manually curated database for human tumor neoantigen peptides

X Tan, D Li, P Huang, X Jian, H Wan, G Wang, Y Li… - Database, 2020 - academic.oup.com
Neoantigens can function as actual antigens to facilitate tumor rejection, which play a crucial
role in cancer immunology and immunotherapy. Emerging evidence revealed that …

Deep learning using tumor HLA peptide mass spectrometry datasets improves neoantigen identification

B Bulik-Sullivan, J Busby, CD Palmer, MJ Davis… - Nature …, 2019 - nature.com
Neoantigens, which are expressed on tumor cells, are one of the main targets of an effective
antitumor T-cell response. Cancer immunotherapies to target neoantigens are of growing …

Neoantigen identification strategies enable personalized immunotherapy in refractory solid tumors

F Chen, Z Zou, J Du, S Su, J Shao… - The Journal of …, 2019 - Am Soc Clin Investig
BACKGROUND. Recent genomic and bioinformatic technological advances have made it
possible to dissect the immune response to personalized neoantigens encoded by tumor …