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Construction of a Novel Risk Model Based on the Random Forest Algorithm to Distinguish Pancreatic Cancers with Different Prognoses and Immune Microenvironment Features
- Source :
- Bioengineered, article-version (VoR) Version of Record, Bioengineered, Vol 12, Iss 1, Pp 3593-3602 (2021)
- Publication Year :
- 2021
- Publisher :
- Research Square Platform LLC, 2021.
-
Abstract
- Immune-related long noncoding RNAs (irlncRNAs) are actively involved in regulating the immune status. This study aimed to establish a risk model of irlncRNAs and further investigate the roles of irlncRNAs in predicting prognosis and the immune landscape in pancreatic cancer. The transcriptome profiles and clinical information of 176 pancreatic cancer patients were retrieved from The Cancer Genome Atlas (TCGA). Immune-related genes (irgenes) downloaded from ImmPort were used to screen 1903 immune-related lncRNAs (irlncRNAs) using Pearson’s correlation analysis (R > 0.5; p<br />Graphical abstract
- Subjects :
- Oncology
Male
Risk
Immune-related lncRNA
medicine.medical_specialty
Wilcoxon signed-rank test
medicine.medical_treatment
pancreatic cancer
Bioengineering
Biology
Applied Microbiology and Biotechnology
random survival forest
risk model
Pancreatic cancer
Internal medicine
medicine
Tumor Microenvironment
Humans
Framingham Risk Score
Models, Statistical
Receiver operating characteristic
Proportional hazards model
immune infiltration
Computational Biology
General Medicine
Immunotherapy
Nomogram
medicine.disease
Prognosis
Random forest
Pancreatic Neoplasms
Female
RNA, Long Noncoding
Transcriptome
TP248.13-248.65
Algorithms
Biotechnology
Research Article
Research Paper
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Bioengineered, article-version (VoR) Version of Record, Bioengineered, Vol 12, Iss 1, Pp 3593-3602 (2021)
- Accession number :
- edsair.doi.dedup.....24217bc73bf7ae089111068a9d95eddc