Exploring the association between air pollutants and non-small cell lung cancer using network toxicology and machine learning

Our findings suggest a significant association between air pollutants and the development of NSCLC and propose potential biomarkers for enhanced diagnostic accuracy, alongside potential therapeutic targets. Future research should prioritize the clinical validation of these findings and the investigation of targeted therapies that consider environmental risk factors, thereby enhancing NSCLC management strategies and patient outcomes.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2025-11-27
DOI
https://doi.org/10.1007/s12672-025-04143-1
Citations
1
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the association between air pollutants and non-small cell lung cancer using network toxicology and machine learning

Zhiqiang Zhao, Qiang Zhao, Kunpeng Du
1 citations
Discover Oncology
Lung Cancer Treatments and Mutations
1.52
article

Exploring the association between air pollutants and non-small cell lung cancer using network toxicology and machine learning

Zhiqiang Zhao, Qiang Zhao, Kunpeng Du
article en
1 citations

Abstract

Our findings suggest a significant association between air pollutants and the development of NSCLC and propose potential biomarkers for enhanced diagnostic accuracy, alongside potential therapeutic targets. Future research should prioritize the clinical validation of these findings and the investigation of targeted therapies that consider environmental risk factors, thereby enhancing NSCLC management strategies and patient outcomes.

Discover OncologyVol. 16(1)
Tianjin Medical University Cancer Institute and Hospital (CN), Hospital of Hebei Province (CN), Zhujiang Hospital (CN)
Openalex Percentile: Top 12%
Lung Cancer Treatments and Mutations
1.52
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.