Construction and validation of a prognostic model for LUAD patients.

<p>(A-C) TCGA-LUAD training set (n = 520): (A) Risk score distribution, survival status, and signature gene expression patterns between high-risk (n = 85) and low-risk (n = 435) groups. (B) Kaplan-Meier survival curves comparing high- vs low-risk groups. (C) Time-dependent ROC curves assessing...

Full description

Saved in:

Bibliographic Details
Main Author:	Yanfeng Xue (465345) (author)
Other Authors:	Yao Wang (102387) (author), Tianhao Huang (13874389) (author), Yingjun Dong (11601523) (author), Xin Tong (48765) (author)
Published:	2025
Subjects:	Cell Biology Genetics Immunology Developmental Biology Cancer Virology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified using machine learning random forest algorithms poor prognosis due lung adenocarcinoma based gene prognostic signature gene prognostic model clinically applicable tool year survival rates related prognostic model 787 ), 2 two luad cohorts immunosuppressive tme phenotype high timp1 expression evaluated immune infiltration bulk transcriptomic datasets luad patients exhibited immune infiltration luad patients related genes predict survival 681 ), tumor microenvironment treg cells study aims risk groups reliable biomarkers molecular functions lasso regression geo database genomic alterations epithelial cells clinical features
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Construction and validation of a prognostic model for LUAD patients.

Similar Items