Cargando…
Dual network analysis of transcriptome data for discovery of new therapeutic targets in non-small cell lung cancer
The drug therapy for non-small cell lung cancer (NSCLC) have always been issues of poisonous side effect, acquired drug resistance and narrow applicable population. In this study, we built a novel network analysis method (difference- correlation- enrichment- causality- node), which was based on the...
Autores principales: | Bai, Yuquan, Zhou, Lu, Zhang, Chuanfen, Guo, Minzhang, Xia, Liang, Tang, Zhenying, Liu, Yi, Deng, Senyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691970/ https://www.ncbi.nlm.nih.gov/pubmed/37864031 http://dx.doi.org/10.1038/s41388-023-02866-5 |
Ejemplares similares
-
Tumor-endogenous PD-1 promotes cell proliferation and predicts poor survival in non-small cell lung cancer
por: Gan, Fanyi, et al.
Publicado: (2022) -
Identification of GPX4 as a therapeutic target for lung adenocarcinoma after EGFR-TKI resistance
por: Zhang, Chuanfen, et al.
Publicado: (2022) -
A six-long noncoding RNA model predicts prognosis in lung adenocarcinoma
por: Bai, Yuquan, et al.
Publicado: (2020) -
A Novel Immune-Prognosis Index Predicts the Benefit of Lung Adenocarcinoma Patients
por: Bai, Yuquan, et al.
Publicado: (2022) -
Identifies Immune Feature Genes for Prediction of Chemotherapy Benefit in Cancer
por: Bai, Yuquan, et al.
Publicado: (2022)