Evidence map›Paper›PMID 36522691›Full record

ArticleBMC medical genomics2022

Developing and validating a survival prediction model based on blood exosomal ceRNA network in patients with PAAD.

Shanshan Wang, Lijun Xu, Kangle Zhu, Huixia Zhu, Dan Zhang, Chongyu Wang, Qingqing Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shanshan WangDepartment of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong City, 226001, Jiangsu Province, China.
Lijun XuDepartment of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong City, 226001, Jiangsu Province, China.
Kangle ZhuDepartment of Medicine, Xinglin college, Nantong University, Nantong City, Jiangsu Province, China.
Huixia ZhuMedical School of Nantong University, Nantong City, 226001, China. zhuhuixia@ntu.edu.cn.
Dan ZhangDepartment of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong City, 226001, Jiangsu Province, China.
Chongyu WangDepartment of Medicine, Xinglin college, Nantong University, Nantong City, Jiangsu Province, China.
Qingqing WangDepartment of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong City, 226001, Jiangsu Province, China. wangqqtdfy@ntu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong the most lethal cancers, pancreatic adenocarcinoma (PAAD) is an essential component of digestive system malignancies that still lacks effective diagnosis and treatment methods. As exosomes and competing endogenous RNA (ceRNA) regulatory networks in tumors go deeper, we expect to construct a ceRNA regulatory network derived from blood exosomes of PAAD patients by bioinformatics methods and develop a survival prediction model based on it.

methodsBlood exosome sequencing data of PAAD patients and normal controls were downloaded from the exoRbase database, and the expression profiles of exosomal mRNA, lncRNA, and circRNA were differentially analyzed by R. The related mRNA, circRNA, lncRNA, and their corresponding miRNA prediction data were imported into Cytoscape software to visualize the ceRNA network. Then, we conducted GO and KEGG enrichment analysis of mRNA in the ceRNA network. Genes that express differently in pancreatic cancer tissues compared with normal tissues and associate with survival (P < 0.05) were determined as Hub genes by GEPIA. We identified optimal prognosis-related differentially expressed mRNAs (DEmRNAs) and generated a risk score model by performing univariate and multivariate Cox regression analyses.

results205 DEmRNAs, 118 differentially expressed lncRNAs (DElncRNAs), and 98 differentially expressed circRNAs (DEcircRNAs) were screened out. We constructed the ceRNA network, and a total of 26 mRNA nodes, 7 lncRNA nodes, 6 circRNA nodes, and 16 miRNA nodes were identified. KEGG enrichment analysis showed that the DEmRNAs in the regulatory network were mainly enriched in Human papillomavirus infection, PI3K-Akt signaling pathway, Osteoclast differentiation, and ECM-receptor interaction. Next, six hub genes (S100A14, KRT8, KRT19, MAL2, MYO5B, PSCA) were determined through GEPIA. They all showed significantly increased expression in cancer tissues compared with control groups, and their high expression pointed to adverse survival. Two optimal prognostic-related DEmRNAs, MYO5B (HR = 1.41, P < 0.05) and PSCA (HR = 1.10, P < 0.05) were included to construct the survival prediction model.

conclusionIn this study, we successfully constructed a ceRNA regulatory network in blood exosomes from PAAD patients and developed a two-gene survival prediction model that provided new targets which shall aid in diagnosing and treating PAAD.

Indexed as

AdenocarcinomaMicroRNAsPancreatic NeoplasmsRNA, Long NoncodingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMyelin and Lymphocyte-Associated Proteolipid ProteinsPhosphatidylinositol 3-KinasesRNA, CircularRNA, MessengerMAL2 protein, humanMicroRNAsMyelin and Lymphocyte-Associated Proteolipid ProteinsPhosphatidylinositol 3-KinasesRNA, CircularRNA, Long NoncodingRNA, MessengerCompeting endogenous RNAEnrichment analysisExosomesPancreatic adenocarcinomaRegulatory networksSurvival prediction model

Identifiers

PMID36522691
PMCPMC9753297

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.