Identification of prognostic indicator based on hypoxia-related lncRNAs analysis in lung adenocarcinoma
- Jiaojiao Zhang 1, Blessed Kondowe 2, Hui Zhang 3, Xinming Xie 4, Qiang Song 5, Bo Guo 6, Jin Shang 3
- Jiaojiao Zhang 1, Blessed Kondowe 2, Hui Zhang 3
- 1Department of Pathology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.
- 2Radiology Department, Mzuzu Central Hospital, Mzuzu, Malawi.
- 3Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.
- 4Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.
- 5Department of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.
- 6Institute of Genetics and Developmental Biology, Translational Medicine Institute, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China.
- 0Department of Pathology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P.R. China.
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February 28, 2025
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified nine hypoxia-related long noncoding RNAs (lncRNAs) as a signature to predict lung adenocarcinoma (LUAD) survival. This signature serves as a potential biomarker and therapeutic target for LUAD patients.
Area Of Science
- Oncology
- Molecular Biology
- Bioinformatics
Background
- Lung adenocarcinoma (LUAD) lacks systematic studies on hypoxia-related long noncoding RNA (lncRNA) signatures for survival prediction.
- Establishing such signatures is crucial for identifying novel prognostic biomarkers in LUAD.
Purpose Of The Study
- To develop a hypoxia-related lncRNA signature for predicting the prognosis of LUAD patients.
- To identify potential novel biomarkers for LUAD patient survival.
Main Methods
- Utilized The Cancer Genome Atlas (TCGA) database for lncRNA expression profiles from 535 LUAD samples.
- Employed coexpression network analysis, univariate Cox regression, Lasso regression, and multivariate Cox regression to identify and validate prognostic lncRNAs.
- Developed a risk score based on the identified signature and assessed its independence as a prognostic factor.
Main Results
- Identified a signature comprising nine prognostic hypoxia-related lncRNAs (LINC01150, AC010980.2, AL606489.1, AL034397.3, LINC00460, LINC02081, FAM83AAS1, AL365181.2, AC026355.1).
- The high-risk group exhibited significantly shorter overall survival (OS) compared to the low-risk group (P = 3.329e-09).
- The risk score was a significant independent prognostic factor for LUAD patients (HR = 1.449, P < 0.001).
Conclusions
- The developed nine-lncRNA signature shows potential as molecular biomarkers for LUAD.
- These hypoxia-related lncRNAs may serve as valuable therapeutic targets for LUAD patients.
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