Identification of neoantigens for individualized therapeutic cancer vaccines

F Lang, B Schrörs, M Löwer, Ö Türeci… - Nature reviews Drug …, 2022 - nature.com
Somatic mutations in cancer cells can generate tumour-specific neoepitopes, which are
recognized by autologous T cells in the host. As neoepitopes are not subject to central …

Cancer vaccines: Building a bridge over troubled waters

MLC Sellars, CJ Wu, EF Fritsch - Cell, 2022 - cell.com
Cancer vaccines aim to direct the immune system to eradicate cancer cells. Here we review
the essential immunologic concepts underpinning natural immunity and highlight the …

Gut microbiota signatures are associated with toxicity to combined CTLA-4 and PD-1 blockade

MC Andrews, CPM Duong, V Gopalakrishnan… - Nature medicine, 2021 - nature.com
Abstract Treatment with combined immune checkpoint blockade (CICB) targeting CTLA-4
and PD-1 is associated with clinical benefit across tumor types, but also a high rate of …

Navigating CAR-T cells through the solid-tumour microenvironment

AJ Hou, LC Chen, YY Chen - Nature reviews Drug discovery, 2021 - nature.com
The adoptive transfer of T cells that are engineered to express chimeric antigen receptors
(CARs) has shown remarkable success in treating B cell malignancies but only limited …

The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies

S Kumagai, Y Togashi, T Kamada, E Sugiyama… - Nature …, 2020 - nature.com
Immune checkpoint blockade has provided a paradigm shift in cancer therapy, but the
success of this approach is very variable; therefore, biomarkers predictive of clinical efficacy …

Deep learning-based prediction of the T cell receptor–antigen binding specificity

T Lu, Z Zhang, J Zhu, Y Wang, P Jiang, X Xiao… - Nature machine …, 2021 - nature.com
Neoantigens play a key role in the recognition of tumour cells by T cells; however, only a
small proportion of neoantigens truly elicit T-cell responses, and few clues exist as to which …

A large peptidome dataset improves HLA class I epitope prediction across most of the human population

S Sarkizova, S Klaeger, PM Le, LW Li, G Oliveira… - Nature …, 2020 - nature.com
Prediction of HLA epitopes is important for the development of cancer immunotherapies and
vaccines. However, current prediction algorithms have limited predictive power, in part …

Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma

D Liu, B Schilling, D Liu, A Sucker, E Livingstone… - Nature medicine, 2019 - nature.com
Immune-checkpoint blockade (ICB) has demonstrated efficacy in many tumor types, but
predictors of responsiveness to anti-PD1 ICB are incompletely characterized. In this study …

An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study

Z Yang, P Bogdan, S Nazarian - Scientific reports, 2021 - nature.com
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over
the world has led to over millions of deaths, and devastated the social, financial and political …

Improved prediction of MHC II antigen presentation through integration and motif deconvolution of mass spectrometry MHC eluted ligand data

B Reynisson, C Barra, S Kaabinejadian… - Journal of proteome …, 2020 - ACS Publications
Major histocompatibility complex II (MHC II) molecules play a vital role in the onset and
control of cellular immunity. In a highly selective process, MHC II presents peptides derived …