scholarly journals Systematic profiling of invasion‐related gene signature predicts prognostic features of lung adenocarcinoma

2021 ◽  
Author(s):  
Ping Yu ◽  
Linlin Tong ◽  
Yujia Song ◽  
Hui Qu ◽  
Ying Chen
Keyword(s):  
Lung Adenocarcinoma ◽  
Gene Signature ◽  
Related Gene ◽  
Prognostic Features

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 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

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.

scholarly journals Development and validation of a hypoxia-related gene signature to predict overall survival in early-stage lung adenocarcinoma patients

2020 ◽  
Vol 12 ◽  
pp. 175883592093790
Author(s):  
Jing Sun ◽  
Tianyu Zhao ◽  
Di Zhao ◽  
Xin Qi ◽  
Xuanwen Bao ◽  
...  
Keyword(s):  
Overall Survival ◽  
Risk Factor ◽  
Decision Tree ◽  
Risk Stratification ◽  
Lung Adenocarcinoma ◽  
Early Stage ◽  
Staging System ◽  
Gene Signature ◽  
Significant Heterogeneity ◽  
Related Gene

Background: Patients with early-stage lung adenocarcinoma (LUAD) exhibit significant heterogeneity in overall survival. The current tumour-node-metastasis staging system is insufficient to provide precise prediction for prognosis. Methods: We quantified the levels of various hallmarks of cancer and identified hypoxia as the primary risk factor for overall survival in early-stage LUAD. Different bioinformatic and statistical methods were combined to construct a robust hypoxia-related gene signature for prognosis. Furthermore, a decision tree and a nomogram were constructed based on the gene signature and clinicopathological features to improve risk stratification and quantify risk assessment for individual patients. Results: The hypoxia-related gene signature discriminated high-risk patients at an early stage in our investigated cohorts. Survival analyses demonstrated that our gene signature served as an independent risk factor for overall survival. The decision tree identified risk subgroups powerfully, and the nomogram exhibited high accuracy. Conclusions: Our study might contribute to the optimization of risk stratification for survival and personalized management of early-stage LUAD.

scholarly journals Identification of Inflammatory Response-Related Gene Signature Associated With Immune Status and Prognosis of Lung Adenocarcinoma

2021 ◽  
Vol 9 ◽  
Author(s):  
Weijie Zou ◽  
Li Chen ◽  
Wenwen Mao ◽  
Su Hu ◽  
Yuanqing Liu ◽  
...  
Keyword(s):  
High Risk ◽  
Inflammatory Response ◽  
Lung Adenocarcinoma ◽  
Immune Status ◽  
Enrichment Analysis ◽  
Gene Signature ◽  
Gene Set Enrichment Analysis ◽  
Related Gene ◽  
Gene Set Enrichment ◽  
Cox Analysis

Background: Lung adenocarcinoma (LUAD) is an exceedingly diverse disease, making prognostication difficult. Inflammatory responses in the tumor or the tumor microenvironment can alter prognosis in the process of the ongoing cross-talk between the host and the tumor. Nonetheless, Inflammatory response-related genes’ prognostic significance in LUAD, on the other hand, has yet to be determined.Materials and Methods: The clinical data as well as the mRNA expression patterns of LUAD patients were obtained from a public dataset for this investigation. In the TCGA group, a multigene prognostic signature was built utilizing LASSO Cox analysis. Validation was executed on LUAD patients from the GEO cohort. The overall survival (OS) of low- and high-risk cohorts was compared utilizing the Kaplan-Meier analysis. The assessment of independent predictors of OS was carried out utilizing multivariate and univariate Cox analyses. The immune-associated pathway activity and immune cell infiltration score were computed utilizing single-sample gene set enrichment analysis. GO keywords and KEGG pathways were explored utilizing gene set enrichment analysis.Results: LASSO Cox regression analysis was employed to create an inflammatory response-related gene signature model. The high-risk cohort patients exhibited a considerably shorter OS as opposed to those in the low-risk cohort. The prognostic gene signature’s predictive ability was demonstrated using receiver operating characteristic curve analysis. The risk score was found to be an independent predictor of OS using multivariate Cox analysis. The functional analysis illustrated that the immune status and cancer-related pathways for the two-risk cohorts were clearly different. The tumor stage and kind of immune infiltrate were found to be substantially linked with the risk score. Furthermore, the cancer cells’ susceptibility to anti-tumor medication was substantially associated with the prognostic genes expression levels.Conclusion: In LUAD, a new signature made up of 8 inflammatory response-related genes may be utilized to forecast prognosis and influence immunological state. Inhibition of these genes could also be used as a treatment option.

scholarly journals Identification of a ferroptosis-related gene signature (FRGS) for predicting clinical outcome in lung adenocarcinoma

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11233
Author(s):  
Sheng Wang ◽  
Chunlei Wu ◽  
Dehua Ma ◽  
Quanteng Hu
Keyword(s):  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Risk Score ◽  
Prognostic Value ◽  
Cox Regression ◽  
Gene Signature ◽  
Tnm Stage ◽  
Related Gene ◽  
Cox Regression Analysis ◽  
Prognostic Predictors

Background Lung adenocarcinoma (LUAD) is the most common pathological subtype of lung cancer. Ferroptosis, an oxidative, iron-dependent form of necrotic cell death, is highly associated with tumorigenesis and cancer progression. However, the prognostic value of ferroptosis progress in LUAD was still rarely be investigated. Methods Herein, we collected three mRNA expression profiles and 85 ferroptosis-related genes from public databases. The “limma” package was used to identify ferroptosis-related differentially expressed genes (DEGs). Univariate Cox regression analysis and LASSO regression analysis were applied to screen and develop a ferroptosis-related gene signature (FRGS) and a formula to calculate the risk score. Multivariate Cox regression analysis was implemented to determine independent prognostic predictors of overall survival (OS). The area under the receiver operating characteristic curve (AUC) and calibration plot were used to evaluate the predictive accuracy of the FRGS and nomogram. Results We developed a FRGS with five genes (CYBB, CISD1, FADD, SAT2, VDAC2). The AUC of the FRGS in TCGA cohort was 0.777 at 1-year, 0.721 at 3-year and 0.725 at 5-year, significantly superior to the AUC of TNM stage (1-year: 0.701, 3-year: 0.691, 5-year: 0.686). A similar phenomenon was observed in GEO cohort 1 and 2. Multivariate Cox regression analysis indicted TNM stage and risk score were independent prognostic predictors. Finally, we built a nomogram with TNM stage and FRGS, the AUCs of which markedly higher than that of FRGS or TNM stage alone. Conclusion We constructed a prognostic FRGS with five ferroptosis-related genes and a nomogram for predicting the 1-, 3- and 5-year survival rate of LUAD patients, which may provide a new understanding of the prognostic value of ferroptosis progress in LUAD and will benefit prognosis assessment of LUAD patients.

Sign in / Sign up

Export Citation Format

Share Document