Evidence map›Paper›PMID 33204717›Full record

ArticleBioMed research international2020

Autophagy Regulatory Genes MET and RIPK2 Play a Prognostic Role in Pancreatic Ductal Adenocarcinoma: A Bioinformatic Analysis Based on GEO and TCGA.

Xingyu Li, Zhiqiang Li, Hongwei Zhu, Xiao Yu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 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
1.0field-weighted citation impact, top 21% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Expression and potential role of CCL4 in CD8+T cells in NSCLC.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  7. Article
  8. Article
  9. Identification ofBiochemistry and biophysics reports · 2021
    Article
  10. Pancreatic cancer in 2021: What you need to know to win.World journal of gastroenterology · 2021
    Review
  11. Article
  12. Article
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

4 authors at 1 institution in 1 country.

Xingyu LiDepartment of Hepatobiliary and Pancreatic Surgery II, The Third Xiangya Hospital, Central South University, Changsha City 410013, Hunan Province, China.
Zhiqiang LiDepartment of Hepatobiliary and Pancreatic Surgery II, The Third Xiangya Hospital, Central South University, Changsha City 410013, Hunan Province, China.
Hongwei ZhuDepartment of Hepatobiliary and Pancreatic Surgery II, The Third Xiangya Hospital, Central South University, Changsha City 410013, Hunan Province, China.
Xiao YuDepartment of Hepatobiliary and Pancreatic Surgery II, The Third Xiangya Hospital, Central South University, Changsha City 410013, Hunan Province, China.ORCID https://orcid.org/0000-0002-3172-8606
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma is a common malignant tumor with a poor prognosis. Autophagy activity changes in both cancer cells and microenvironment and affects the progression of pancreatic ductal adenocarcinoma. The purpose of this study was to predict the prognostic autophagy regulatory genes and their role in the regulation of autophagy in pancreatic ductal adenocarcinoma. We draw conclusions based on gene expression data from different platforms: GSE62165 and GSE85916 from the array platform, TCGA from the bulk RNA-seq platform, and GSE111672 from the single-cell RNA-seq platform. At first, we detected differentially expressed genes in pancreatic ductal adenocarcinoma compared with normal pancreatic tissue based on GSE62165. Then, we screened prognostic genes based on GSE85916 and TCGA. Furthermore, we constructed a risk signature composed of the prognostic differentially expressed genes. Finally, we predicted the probable role of these genes in regulating autophagy and the types of cell expressing these genes. According to our screening criteria, there were only two genes: MET and RIPK2, selected into the development of the risk signature. However, evaluated by log-rank tests, receiver operating characteristic curves, and calibration curves, the risk signature was worth considering its clinical application because of good sensitivity, specificity, and stability. Besides, we predicted that both MET and RIPK2 promote autophagy in pancreatic ductal adenocarcinoma by gene set enrichment analysis. Analysis of single-cell RNA-seq data from GSE111672 revealed that both MET and RIPK2 were expressed in cancer cells while RIPK2 was also expressed in monocytes and neutrophils. After comprehensive analysis, we found that both MET and RIPK2 are related to the prognosis of pancreatic ductal adenocarcinoma and provided some associated clues for clinical application and basic experiment research.

Indexed as

AutophagyBiomarkers, TumorCarcinoma, Pancreatic DuctalGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimatePancreatic NeoplasmsPrognosisProto-Oncogene Proteins c-metReceptor-Interacting Protein Serine-Threonine Kinase 2Reproducibility of ResultsBiomarkers, TumorMET protein, humanProto-Oncogene Proteins c-metReceptor-Interacting Protein Serine-Threonine Kinase 2RIPK2 protein, human

Identifiers

PMID33204717
PMCPMC7665929
OpenAlexW3095822010

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.