Four-gene-based risk score model from peripheral blood: enhancing diagnosis, prognosis, and immunotherapy response assessment in patients with lung adenocarcinoma.
IF 1.7 4区 医学Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xiaohua Li, Guoxia Fu, Shijun Liao, Yu Wu, Lei Lei, Lian Liu, Yi Liao
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引用次数: 0
Abstract
A four-gene risk score model was established based on transcriptome sequencing of peripheral blood samples from 20 lung adenocarcinoma (LUAD) patients and 10 healthy individuals. Weighted gene co-expression network analysis identified 546 LUAD-associated genes within the blue module. Least Absolute Shrinkage and Selection Operator regression was applied to construct the diagnostic model. The model demonstrated strong diagnostic and prognostic performance across multiple external datasets. Additionally, the risk score functioned as an independent prognostic factor and showed potential in predicting response to immunotherapy. This peripheral blood-derived gene signature may serve as a valuable tool for LUAD diagnosis, prognosis evaluation, and therapeutic decision-making. Further validation in larger prospective studies is warranted.
期刊介绍：
The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.
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