Machine learning-based coagulation-related signature for predicting the prognosis and therapy benefits in lung adenocarcinoma

We identified two molecular subtypes and a prognostic signature for LUAD based on CRGs. This stratification could help the prognosis prediction and chemotherapy, targeted therapy and immunotherapy strategy guidance of LAUD patients.

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Publication Details

Journal
Discover Oncology
Published
2025-12-09
DOI
https://doi.org/10.1007/s12672-025-04243-y
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine learning-based coagulation-related signature for predicting the prognosis and therapy benefits in lung adenocarcinoma

Connie R. Shi, Xing Cui
Discover Oncology
Ferroptosis and cancer prognosis
article

Machine learning-based coagulation-related signature for predicting the prognosis and therapy benefits in lung adenocarcinoma

Connie R. Shi, Xing Cui
article en

Abstract

We identified two molecular subtypes and a prognostic signature for LUAD based on CRGs. This stratification could help the prognosis prediction and chemotherapy, targeted therapy and immunotherapy strategy guidance of LAUD patients.

Discover OncologyVol. 17(1)
Hebei Medical University (CN), Fourth Hospital of Hebei Medical University (CN)
Openalex Percentile: Top 42%
Ferroptosis and cancer prognosis
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