A Novel <scp>DNA</scp> Repair‐Gene Model to Predict Responses to Immunotherapy and Prognosis in Patients With <scp>EGFR</scp>‐Mutant Non‐Small Cell Lung Cancer

This study demonstrated a diversity of DDR genes in EGFRm NSCLC and developed a predictive model using these genes. This model could assist in identifying potential candidates for immunotherapy and in assessing personalized treatment and prognosis of patients with EGFRm NSCLC.

Authors

Institutions

Publication Details

Journal
Thoracic Cancer
Published
2025-02-01
DOI
https://doi.org/10.1111/1759-7714.70025
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A Novel DNA Repair‐Gene Model to Predict Responses to Immunotherapy and Prognosis in Patients With EGFR‐Mutant Non‐Small Cell Lung Cancer

Xue‐Wu Wei, Chang Lu, Qing Zhou, Zhihong Chen et al.
Thoracic Cancer
Lung Cancer Treatments and Mutations
article

A Novel DNA Repair‐Gene Model to Predict Responses to Immunotherapy and Prognosis in Patients With EGFR‐Mutant Non‐Small Cell Lung Cancer

Xue‐Wu Wei, Chang Lu, Qing Zhou, Zhihong Chen, Fen Wang, Jia‐Yi Deng, Mingyi Yang, Xiaorong Yang
article en

Abstract

This study demonstrated a diversity of DDR genes in EGFRm NSCLC and developed a predictive model using these genes. This model could assist in identifying potential candidates for immunotherapy and in assessing personalized treatment and prognosis of patients with EGFRm NSCLC.

Thoracic CancerVol. 16(4)
Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), Southern Medical University (CN)
National Natural Science Foundation of China, Ministry of Education, India, National Science and Technology Major Project
Reduced inequalities
Openalex Percentile: Top 95%
Lung Cancer Treatments and Mutations
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.