Revealing platelet-related subtypes and prognostic signature in pancreatic adenocarcinoma

Pancreatic adenocarcinoma (PDAC) is a malignant tumor with high heterogeneity and poor prognosis. In this study, we sought to identify the value of platelet-related genes in prognosis and heterogeneity of PDAC through multiple transcriptomic methods. Based on datasets from Gene Expression Omnibus an...

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Bibliographic Details
Published in:BMC medical genomics 2023-05, Vol.16 (1), p.106-106, Article 106
Main Authors: Zhao, Jian-Gang, Li, Yu-Jie, Wu, Yong, Zhang, Ke, Peng, Lin-Jia, Chen, Hao
Format: Article
Language:English
Subjects:
Adenocarcinoma
Adenocarcinoma - genetics
Algorithms
Blood Platelets
Cancer
Cell Cycle Proteins
Datasets
Decision making
Diagnosis
DNA testing
Gene expression
Genes
Genetic aspects
Genomes
Health aspects
Humans
Immune checkpoint
Immunotherapy
Infiltration
Lymphocytes
Medical prognosis
Metastases
Metastasis
Molecular classification
Nomograms
Pancreas
Pancreatic adenocarcinoma
Pancreatic cancer
Pancreatic Neoplasms
Pancreatic Neoplasms - genetics
Platelet
Platelets
Prognosis
Prognostic signature, risk score
Sodium channels (voltage-gated)
Survival analysis
Transcriptomics
Tumors
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Summary:Pancreatic adenocarcinoma (PDAC) is a malignant tumor with high heterogeneity and poor prognosis. In this study, we sought to identify the value of platelet-related genes in prognosis and heterogeneity of PDAC through multiple transcriptomic methods. Based on datasets from Gene Expression Omnibus and The Cancer Genome Atlas (TCGA), platelet-related genes were screened out, and the TCGA cohort (n = 171) was identified into two subtypes by unsupervised clustering. The platelet-related risk score model (PLRScore) was constructed by univariate Cox and LASSO regression, and the predictive ability was evaluated by Kaplan-Meier test and time-dependent receiver operating characteristic (ROC) curves. The results were validated in two other external validation sets, ICGC-CA (n = 140) and GSE62452 (n = 66). Furthermore, predictive nomogram containing clinical characteristics and PLRScore was established. In addition, we determined the possible correlation between PLRScore and immune infiltration and response of immunotherapy. Finally, we analyzed the heterogeneity of our signature in various types of cells using single-cell analysis. Platelet-related subtypes that have significant difference of overall survival and immune states (p 
ISSN:1755-8794
1755-8794
DOI:10.1186/s12920-023-01530-x