Prognostic and predictive value of a novel immuno-proliferative biomarker signature for targeted therapy efficacy in non-small cell lung cancer

High IFN-γ expression, low Ki-67 and MA levels, and ≤ 2 elevated LCTM components constitute a favorable biomarker profile for predicting response to targeted therapy in advanced NSCLC. These biomarkers could aid in predicting early response and therapeutic stratification. The proposed "driver-clone-dependent clone" co-regulation mechanism underscores the clinical value of multi-biomarker evaluation. Further multi-center prospective studies are warranted for validation.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2026-03-09
DOI
https://doi.org/10.1186/s40001-026-03991-z
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic and predictive value of a novel immuno-proliferative biomarker signature for targeted therapy efficacy in non-small cell lung cancer

Xin Han, Rong Lin, Hongzhen Wang, Xiaolei Zhang et al.
European journal of medical research
Lung Cancer Treatments and Mutations
article

Prognostic and predictive value of a novel immuno-proliferative biomarker signature for targeted therapy efficacy in non-small cell lung cancer

Xin Han, Rong Lin, Hongzhen Wang, Xiaolei Zhang, Wei Wei, Ruixiang Gao
article en

Abstract

High IFN-γ expression, low Ki-67 and MA levels, and ≤ 2 elevated LCTM components constitute a favorable biomarker profile for predicting response to targeted therapy in advanced NSCLC. These biomarkers could aid in predicting early response and therapeutic stratification. The proposed "driver-clone-dependent clone" co-regulation mechanism underscores the clinical value of multi-biomarker evaluation. Further multi-center prospective studies are warranted for validation.

European journal of medical research
Wenzhou Medical University (CN), Dongyang People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 28%
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.