Identification of key genes to predict response to chemoradiotherapy and prognosis in esophageal squamous cell carcinoma

This study identified three key genes that predict chemoradiotherapy sensitivity and prognosis and are involved in multiple tumor-related biological processes in ESCC. These findings provide predictive biomarkers for chemoradiotherapy response and support the development of individualized treatment strategies for ESCC patients.

Authors

Institutions

Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2024-11-20
DOI
https://doi.org/10.3389/fmolb.2024.1512715
Citations
2
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
1.15

Funders

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

Identification of key genes to predict response to chemoradiotherapy and prognosis in esophageal squamous cell carcinoma

Yingying Cui, Jing Wen, Jianhua Fu, Changsen Leng
2 citations
Frontiers in Molecular Biosciences
Esophageal Cancer Research and Treatment
1.15
article

Identification of key genes to predict response to chemoradiotherapy and prognosis in esophageal squamous cell carcinoma

Yingying Cui, Jing Wen, Jianhua Fu, Changsen Leng
article en
2 citations

Abstract

This study identified three key genes that predict chemoradiotherapy sensitivity and prognosis and are involved in multiple tumor-related biological processes in ESCC. These findings provide predictive biomarkers for chemoradiotherapy response and support the development of individualized treatment strategies for ESCC patients.

Frontiers in Molecular BiosciencesVol. 11
Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Life in Land
Openalex Percentile: Top 19%
Esophageal Cancer Research and Treatment
1.15
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.

Identification of key genes to predict response to chemoradiotherapy and prognosis in esophageal squamous cell carcinoma — Yingying Cui, Jing Wen, et al. · Frontiers in Molecular Biosciences (2024) | TGRS Research Map | TGRS