Evidence mapPaperPMID 33008376Full record

ArticleBMC cancer2020

Integrated analysis identifies a pathway-related competing endogenous RNA network in the progression of pancreatic cancer.

Fuqiang Zu, Peng Liu, Huaitao Wang, Ting Zhu, Jian Sun, Weiwei Sheng, Xiaodong Tan

Abstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  10. Observational
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4 · The record

Corrections and comments

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.

Fuqiang ZuShengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China.
Peng LiuDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China.
Huaitao WangDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China.
Ting ZhuShengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China.
Jian SunDepartment of Gastrointestinal Surgery, the First Hospital, China Medical University, Shenyang, 110001, Liaoning, China.
Weiwei ShengDepartment of Gastrointestinal Surgery, the First Hospital, China Medical University, Shenyang, 110001, Liaoning, China.
Xiaodong TanDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China. tanxdcmu@163.com.ORCID http://orcid.org/0000-0003-0862-1306

Funding

Liaoning BaiQianWan Talents Program 3200417003National Natural Science Foundation of China 81902953, 30973501Natural Science Foundation of Liaoning Province 20180530068the City Nature Science Foundation of Shenyang 17231178the Outstanding Scientific Fund of Shengjing Hospital M731
6 · The paper itself

Abstract

backgroundIt is well acknowledged that cancer-related pathways play pivotal roles in the progression of pancreatic cancer (PC). Employing Integrated analysis, we aim to identify the pathway-related ceRNA network associated with PC progression.

methodsWe divided eight GEO datasets into three groups according to their platform, and combined TCGA and GTEx databases as a group. Additionally, we screened out the differentially expressed genes (DEGs) and performed functional enrichment analysis in each group, and recognized the top hub genes in the most enriched pathway. Furthermore, the upstream of miRNAs and lncRNAs were predicted and validated according to their expression and prognostic roles. Finally, the co-expression analysis was applied to identify a pathway-related ceRNA network in the progression of PC.

resultsA total of 51 significant pathways that common enriched in all groups were spotted. Enrichment analysis indicated that pathway in cancer was greatly linked with tumor formation and progression. Next, the top 20 hug genes in this pathway were recognized, and stepwise prediction and validation from mRNA to lncRNA, including 11 hub genes, 4 key miRNAs, and 2 key lncRNAs, were applied to identify a meaningful ceRNA network according to ceRNA rules. Ultimately, we identified the PVT1/miR-20b/CCND1 axis as a promising pathway-related ceRNA axis in the progression of PC.

conclusionOverall, we elucidate the pathway-related ceRNA regulatory network of PVT1/miR-20b/CCND1 in the progression of PC, which can be considered as therapeutic targets and encouraging prognostic biomarkers for PC.

Indexed as

Biomarkers, TumorDisease ProgressionHumansPancreatic NeoplasmsRNABiomarkers, TumorRNACancer pathwaysCompeting endogenous RNAIntegrated analysisPancreatic cancerProgression

Identifiers

PMID33008376
PMCPMC7532576

What Socratic holds

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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 Socratic graph.