scholarly journals A novel ferroptosis-related gene signature for prognostic prediction of patients with lung adenocarcinoma

Aging ◽  
2021 ◽  
Author(s):  
Jingjing Jin ◽  
Chuan Liu ◽  
Shanshan Yu ◽  
Lingyi Cai ◽  
Andriamifahimanjaka Sitrakiniaina ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Gene Signature ◽  
Related Gene ◽  
Prognostic Prediction

Identification of immune-related gene signature predicting survival in the tumor microenvironment of lung adenocarcinoma

2020 ◽  
Vol 72 (9-10) ◽  
pp. 455-465
Author(s):  
Mengnan Zhao ◽  
Ming Li ◽  
Zhencong Chen ◽  
Yunyi Bian ◽  
Yuansheng Zheng ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Lung Adenocarcinoma ◽  
Gene Signature ◽  
Related Gene ◽  
Immune Related Gene

scholarly journals Identification of a novel glycolysis-related gene signature that can predict the survival of patients with lung adenocarcinoma

Cell Cycle ◽  
2019 ◽  
Vol 18 (5) ◽  
pp. 568-579 ◽  
Author(s):  
Chang Liu ◽  
Yinyan Li ◽  
Minjie Wei ◽  
Lin Zhao ◽  
Yangyang Yu ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Gene Signature ◽  
Related Gene

scholarly journals Development and validation of metabolism-related gene signature in prognostic prediction of gastric cancer

2020 ◽  
Vol 18 ◽  
pp. 3217-3229
Author(s):  
Tianqi Luo ◽  
Yuanfang Li ◽  
Runcong Nie ◽  
Chengcai Liang ◽  
Zekun Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Gene Signature ◽  
Related Gene ◽  
Prognostic Prediction ◽  
Development And Validation

A Novel Ferroptosis-related Gene Signature for Overall Survival Prediction in Patients with Bladder cancer

2021 ◽  
Author(s):  
Liyuan Wu ◽  
Feiya Yang ◽  
Nianzeng Xing
Keyword(s):  
Overall Survival ◽  
Bladder Cancer ◽  
Cox Regression ◽  
Risk Group ◽  
Risk Groups ◽  
Gene Signature ◽  
Survival Prediction ◽  
Related Gene ◽  
Cox Regression Analysis ◽  
Prognostic Prediction

Abstract Background Bladder cancer (BC) is a highly heterogeneous disease, which makes the prognostic prediction challenging. Ferroptosis is related to a variety of biological pathways, including those involved in the metabolism of amino acids, lipids, and iron. However, the prognostic value of ferroptosis-related genes in BC remains to be further elucidated. Methods In this study, the mRNA expression profiles and corresponding clinical data of BC patients were downloaded from public databases. The least absolute shrinkage and selection operator (LASSO) Cox regression model was utilized to construct a multigene signature and validated it. Results Our results showed 12 differentially expressed genes (DEGs) were correlated with overall survival (OS) in the univariate Cox regression analysis (all adjusted P< 0.05). A 9-gene signature was constructed to stratify patients into two risk groups. Patients in the high-risk group showed significantly reduced OS compared with patients in the low-risk group (P < 0.001). The risk score was an independent predictor for OS in multivariate Cox regression analyses (HR> 1, P< 0.01). Receiver operating characteristic (ROC) curve analysis confirmed the signature's predictive capacity. Functional analysis revealed that immune-related pathways were enriched, and immune status were different between two risk groups, especially in humoral immune response process. Conclusion In conclusion, a novel ferroptosis-related gene signature can be used for prognostic prediction in BC. Targeting ferroptosis may be a therapeutic alternative for BC.

Development and validation of an oxidative phosphorylation-related gene signature in lung adenocarcinoma

Epigenomics ◽  
2020 ◽  
Vol 12 (15) ◽  
pp. 1333-1348
Author(s):  
Zihao Xu ◽  
Zilong Wu ◽  
Jingtao Zhang ◽  
Ruihao Zhou ◽  
Ling Ye ◽  
...  
Keyword(s):  
Oxidative Phosphorylation ◽  
Lung Adenocarcinoma ◽  
Risk Groups ◽  
Gene Signature ◽  
The Cancer Genome Atlas ◽  
Diagnostic Model ◽  
Related Gene ◽  
Training Set ◽  
Diagnostic Efficacy ◽  
Test Set

Aim: To develop an oxidative phosphorylation (OXPHOS)-related gene signature of lung adenocarcinoma (LUAD). Materials & methods: We split The Cancer Genome Atlas LUAD cohort into a training set and a test set; we used the least absolute shrinkage and selection operator Cox method to structure the OXPHOS-related prognostic signature in the training set and verified in the test set and GSE30219 dataset. Meanwhile, the diagnostic model was constructed using the logistic Cox method. Results: The signature consisted of seven genes ( LDHA, CFTR, HSPD1, SNHG3, MAP1LC3C, COX6B2, and TWIST1). LUAD patients were divided into high- and low-risk groups, demonstrating good diagnostic and prognostic capabilities. Conclusion: We developed the first-ever OXPHOS-related signature with both prognostic predictive power and diagnostic efficacy.

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