Integration of single-cell and bulk RNA sequencing to identify unique tumor stem cells and construct novel prognostic markers for assessing ESCA prognosis and drug sensitivity

This study underscores the prognostic significance of the TSCMS model in ESCA, elucidates the immune landscape and treatment response, and identifies TSPO as a potential therapeutic target.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-08-27
DOI
https://doi.org/10.3389/fonc.2025.1649877
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of single-cell and bulk RNA sequencing to identify unique tumor stem cells and construct novel prognostic markers for assessing ESCA prognosis and drug sensitivity

Yu‐Chen Fan, D. Qiao, Beibei Sha, Qian Lv et al.
Frontiers in Oncology
Cancer Genomics and Diagnostics
article

Integration of single-cell and bulk RNA sequencing to identify unique tumor stem cells and construct novel prognostic markers for assessing ESCA prognosis and drug sensitivity

Yu‐Chen Fan, D. Qiao, Beibei Sha, Qian Lv, Guiming Hu, Longhao Wang, Jia Shi, Haibin Yu
article en

Abstract

This study underscores the prognostic significance of the TSCMS model in ESCA, elucidates the immune landscape and treatment response, and identifies TSPO as a potential therapeutic target.

Frontiers in OncologyVol. 15
Second Affiliated Hospital of Zhengzhou University (CN), Henan Provincial People's Hospital (CN)
Openalex Percentile: Top 72%
Cancer Genomics and Diagnostics
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.