Single-cell RNA sequencing: enhancing the predictive accuracy of tumor immunotherapy efficacy

The swift advancement of single-cell RNA sequencing (scRNA-seq) technology has furnished a crucial instrument for investigating the tumor microenvironment (TME) and its response to immunotherapy. As immunotherapy becomes increasingly prevalent, the challenge of accurately predicting its efficacy has emerged as a prominent focus in contemporary research. In recent years, the utilization of scRNA-seq in the context of immunotherapy has demonstrated promising potential, particularly in the realms of efficacy prediction and biomarker discovery. The heterogeneity of immune cells within the TME exerts intricate and multifaceted influences on treatment response, necessitating comprehensive investigation. Furthermore, the integration of biomaterials into tumor immunotherapy presents novel research opportunities in this domain. scRNA-seq technology offers a systematic approach to evaluating the modifications in the TME induced by biomaterials. This article aims to review the current state of scRNA-seq in the context of immunotherapy, identify existing challenges within related research, and propose future research directions.

Authors

Institutions

Publication Details

Journal
Essays in Biochemistry
Published
2025-08-22
DOI
https://doi.org/10.1042/ebc20253017
Citations
6
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
6.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell RNA sequencing: enhancing the predictive accuracy of tumor immunotherapy efficacy

Linqi Zhu, Qi Wang, Liangzhu Feng, Weifeng Shi et al.
6 citations
Essays in Biochemistry
Cancer Immunotherapy and Biomarkers
6.27
article

Single-cell RNA sequencing: enhancing the predictive accuracy of tumor immunotherapy efficacy

Linqi Zhu, Qi Wang, Liangzhu Feng, Weifeng Shi, Ziwei Huang, Zhiyun Wu, Wei Zhou, Mengyuan Tang
article en
6 citations

Abstract

The swift advancement of single-cell RNA sequencing (scRNA-seq) technology has furnished a crucial instrument for investigating the tumor microenvironment (TME) and its response to immunotherapy. As immunotherapy becomes increasingly prevalent, the challenge of accurately predicting its efficacy has emerged as a prominent focus in contemporary research. In recent years, the utilization of scRNA-seq in the context of immunotherapy has demonstrated promising potential, particularly in the realms of efficacy prediction and biomarker discovery. The heterogeneity of immune cells within the TME exerts intricate and multifaceted influences on treatment response, necessitating comprehensive investigation. Furthermore, the integration of biomaterials into tumor immunotherapy presents novel research opportunities in this domain. scRNA-seq technology offers a systematic approach to evaluating the modifications in the TME induced by biomaterials. This article aims to review the current state of scRNA-seq in the context of immunotherapy, identify existing challenges within related research, and propose future research directions.

Essays in BiochemistryVol. 69(02)
Soochow University (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Collaborative Innovation Center of Suzhou Nano Science and Technology
Openalex Percentile: Top 3%
Cancer Immunotherapy and Biomarkers
6.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Single-cell RNA sequencing: enhancing the predictive accuracy of tumor immunotherapy efficacy — Linqi Zhu, Qi Wang, et al. · Essays in Biochemistry (2025) | TGRS Research Map | TGRS