An integrated proteomic classifier to distinguish benign from malignant pulmonary nodules

Our study identified a panel of plasma protein biomarkers for distinguishing benign from malignant pulmonary nodules that worth further development into a clinically valuable assay.

Authors

Institutions

Publication Details

Journal
Clinical Proteomics
Published
2025-04-07
DOI
https://doi.org/10.1186/s12014-025-09532-w
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An integrated proteomic classifier to distinguish benign from malignant pulmonary nodules

Fei Gao, Bianqin Guo, Lujian Liao, Bin Jia et al.
1 citations
Clinical Proteomics
Lung Cancer Diagnosis and Treatment
1.52
article

An integrated proteomic classifier to distinguish benign from malignant pulmonary nodules

Fei Gao, Bianqin Guo, Lujian Liao, Bin Jia, Liangxuan Pan, Xiaoyao Du, Tingting Wang, Jing Yang, Junqiang Dong
article en
1 citations

Abstract

Our study identified a panel of plasma protein biomarkers for distinguishing benign from malignant pulmonary nodules that worth further development into a clinically valuable assay.

Clinical ProteomicsVol. 22(1)
Chongqing University (CN), Chongqing Cancer Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN)
Zero hunger
Openalex Percentile: Top 20%
Lung Cancer Diagnosis and Treatment
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.