Single-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery

The successes with immune checkpoint blockade (ICB) and chimeric antigen receptor (CAR)-T-cell therapy in treating multiple cancer types have established immunotherapy as a powerful curative option for patients with advanced cancers. Unfortunately, many patients do not derive benefit or long-term re...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhiliang Bai, Graham Su, Rong Fan
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Single-cell analysis Immunotherapy Biomarker discovery Checkpoint blockade CAR-T Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/e7e7c7dbc16e406b86036798eb30d031
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e7e7c7dbc16e406b86036798eb30d031
record_format	dspace
spelling	oai:doaj.org-article:e7e7c7dbc16e406b86036798eb30d0312021-11-16T04:09:26ZSingle-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery1672-022910.1016/j.gpb.2021.02.004https://doaj.org/article/e7e7c7dbc16e406b86036798eb30d0312021-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1672022921000772https://doaj.org/toc/1672-0229The successes with immune checkpoint blockade (ICB) and chimeric antigen receptor (CAR)-T-cell therapy in treating multiple cancer types have established immunotherapy as a powerful curative option for patients with advanced cancers. Unfortunately, many patients do not derive benefit or long-term responses, highlighting a pressing need to perform complete investigation of the underlying mechanisms and the immunotherapy-induced tumor regression or rejection. In recent years, a large number of single-cell technologies have leveraged advances in characterizing immune system, profiling tumor microenvironment, and identifying cellular heterogeneity, which establish the foundations for lifting the veil on the comprehensive crosstalk between cancer and immune system during immunotherapies. In this review, we introduce the applications of the most widely used single-cell technologies in furthering our understanding of immunotherapies in terms of underlying mechanisms and their association with therapeutic outcomes. We also discuss how single-cell analyses help to deliver new insights into biomarker discovery to predict patient response rate, monitor acquired resistance, and support prophylactic strategy development for toxicity management. Finally, we provide an overview of applying cutting-edge single-cell spatial-omics to point out the heterogeneity of tumor–immune interactions at higher level that can ultimately guide to the rational design of next-generation immunotherapies.Zhiliang BaiGraham SuRong FanElsevierarticleSingle-cell analysisImmunotherapyBiomarker discoveryCheckpoint blockadeCAR-TBiology (General)QH301-705.5ENGenomics, Proteomics & Bioinformatics, Vol 19, Iss 2, Pp 191-207 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Single-cell analysis Immunotherapy Biomarker discovery Checkpoint blockade CAR-T Biology (General) QH301-705.5
spellingShingle	Single-cell analysis Immunotherapy Biomarker discovery Checkpoint blockade CAR-T Biology (General) QH301-705.5 Zhiliang Bai Graham Su Rong Fan Single-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery
description	The successes with immune checkpoint blockade (ICB) and chimeric antigen receptor (CAR)-T-cell therapy in treating multiple cancer types have established immunotherapy as a powerful curative option for patients with advanced cancers. Unfortunately, many patients do not derive benefit or long-term responses, highlighting a pressing need to perform complete investigation of the underlying mechanisms and the immunotherapy-induced tumor regression or rejection. In recent years, a large number of single-cell technologies have leveraged advances in characterizing immune system, profiling tumor microenvironment, and identifying cellular heterogeneity, which establish the foundations for lifting the veil on the comprehensive crosstalk between cancer and immune system during immunotherapies. In this review, we introduce the applications of the most widely used single-cell technologies in furthering our understanding of immunotherapies in terms of underlying mechanisms and their association with therapeutic outcomes. We also discuss how single-cell analyses help to deliver new insights into biomarker discovery to predict patient response rate, monitor acquired resistance, and support prophylactic strategy development for toxicity management. Finally, we provide an overview of applying cutting-edge single-cell spatial-omics to point out the heterogeneity of tumor–immune interactions at higher level that can ultimately guide to the rational design of next-generation immunotherapies.
format	article
author	Zhiliang Bai Graham Su Rong Fan
author_facet	Zhiliang Bai Graham Su Rong Fan
author_sort	Zhiliang Bai
title	Single-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery
title_short	Single-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery
title_full	Single-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery
title_fullStr	Single-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery
title_full_unstemmed	Single-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery
title_sort	single-cell analysis technologies for immuno-oncology research: from mechanistic delineation to biomarker discovery
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e7e7c7dbc16e406b86036798eb30d031
work_keys_str_mv	AT zhiliangbai singlecellanalysistechnologiesforimmunooncologyresearchfrommechanisticdelineationtobiomarkerdiscovery AT grahamsu singlecellanalysistechnologiesforimmunooncologyresearchfrommechanisticdelineationtobiomarkerdiscovery AT rongfan singlecellanalysistechnologiesforimmunooncologyresearchfrommechanisticdelineationtobiomarkerdiscovery
_version_	1718426758694305792

Single-cell Analysis Technologies for Immuno-oncology Research: from Mechanistic Delineation to Biomarker Discovery

Ejemplares similares