Development and validation of prognostic models based on cell cycle-related signatures for predicting the prognosis of patients with lung adenocarcinoma

This research identified six prognostic biomarkers and built the prognostic prediction models of LUAD, which may enhance the comprehension of disease biology, serve as an effective prognostic tool for LUAD and drive novel therapy development potentially.

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Publication Details

Journal
Translational Cancer Research
Published
2025-05-01
DOI
https://doi.org/10.21037/tcr-24-1479
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of prognostic models based on cell cycle-related signatures for predicting the prognosis of patients with lung adenocarcinoma

Yinghui Guan, Yuanping Huang, Yanfei Zhao
Translational Cancer Research
Lung Cancer Treatments and Mutations
article

Development and validation of prognostic models based on cell cycle-related signatures for predicting the prognosis of patients with lung adenocarcinoma

Yinghui Guan, Yuanping Huang, Yanfei Zhao
article en

Abstract

This research identified six prognostic biomarkers and built the prognostic prediction models of LUAD, which may enhance the comprehension of disease biology, serve as an effective prognostic tool for LUAD and drive novel therapy development potentially.

Translational Cancer ResearchVol. 14(5)
Jilin University (CN), First Hospital of Jilin University (CN)
Good health and well-being
Openalex Percentile: Top 80%
Lung Cancer Treatments and Mutations
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