Prediction of differentiation levels in lung adenocarcinoma using peripheral blood inflammatory cytokines and tumor markers

This model, combining inflammatory and tumor markers, effectively predicts LUAD differentiation, aiding personalized treatment planning, enhancing therapeutic outcomes, and supporting early LUAD detection.

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Publication Details

Journal
PLoS ONE
Published
2026-01-08
DOI
https://doi.org/10.1371/journal.pone.0339414
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction of differentiation levels in lung adenocarcinoma using peripheral blood inflammatory cytokines and tumor markers

Jing Jing, Jiahuan Wu, Meiling Long, Yang Li et al.
PLoS ONE
Lung Cancer Research Studies
article

Prediction of differentiation levels in lung adenocarcinoma using peripheral blood inflammatory cytokines and tumor markers

Jing Jing, Jiahuan Wu, Meiling Long, Yang Li, Tingting Zeng
article en

Abstract

This model, combining inflammatory and tumor markers, effectively predicts LUAD differentiation, aiding personalized treatment planning, enhancing therapeutic outcomes, and supporting early LUAD detection.

PLoS ONEVol. 21(1)
Dalian Medical University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 94%
Lung Cancer Research Studies
DOIOpen Access PDFOpenAlex
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