Evidence map›Paper›PMID 32934754›Full record

ArticleDisease markers2020

Identification of Key Prognostic Biomarker and Its Correlation with Immune Infiltrates in Pancreatic Ductal Adenocarcinoma.

Hong Luan, Chuang Zhang, Tuo Zhang, Ye He, Yanna Su, Liping Zhou

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  5. Stage analysis of pancreatic ductal adenocarcinoma via network analysis.Gastroenterology and hepatology from bed to bench · 2024
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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

6 authors at 1 institution in 1 country.

Hong LuanDepartment of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Chuang ZhangKey Laboratory of Anticancer Drugs and Biotherapy, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Tuo ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Ye HeDepartment of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Yanna SuDepartment of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Liping ZhouDepartment of Graduate Faculty, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province 110001, China.ORCID https://orcid.org/0000-0002-5670-2373
First Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is an extremely malignant tumor. The immune profile of PDAC and the immunologic milieu of its tumor microenvironment (TME) are unique; however, the mechanism of how the TME engineers the carcinogenesis of PDAC is not fully understood. This study is aimed at better understanding the relationship between the immune infiltration of the TME and gene expression and identifying potential prognostic and immunotherapeutic biomarkers for PDAC. Analysis of data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases identified differentially expressed genes (DEGs), including 159 upregulated and 53 downregulated genes. Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes enrichment were performed and showed that the DEGs were mainly enriched for the PI3K-Akt signaling pathway and extracellular matrix organization. We used the cytoHubba plugin of Cytoscape to screen out the most significant ten hub genes by four different models (Degree, MCC, DMNC, and MNC). The expression and clinical relevance of these ten hub genes were validated using Gene Expression Profiling Interactive Analysis (GEPIA) and the Human Protein Atlas, respectively. High expression of nine of the hub genes was positively correlated with poor prognosis. Finally, the relationship between these hub genes and tumor immunity was analyzed using the Tumor Immune Estimation Resource. We found that the expression of SPARC, COL6A3, and FBN1 correlated positively with infiltration levels of six immune cells in the tumors. In addition, these three genes had a strong coexpression relationship with the immune checkpoints. In conclusion, our results suggest that nine upregulated biomarkers are related to poor prognosis in PDAC and may serve as potential prognostic biomarkers for PDAC therapy. Furthermore, SPARC, COL6A3, and FBN1 play an important role in tumor-related immune infiltration and may be ideal targets for immune therapy against PDAC.

Indexed as

AdipokinesBiomarkers, TumorCarcinoma, Pancreatic DuctalCollagen Type VIComputational BiologyFibrillin-1Gene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmune SystemOsteonectinPancreatic NeoplasmsPrognosisProtein Interaction MapsTumor MicroenvironmentAdipokinesBiomarkers, TumorCOL6A3 protein, humanCollagen Type VIFBN1 protein, humanFibrillin-1OsteonectinSPARC protein, human

Identifiers

PMID32934754
PMCPMC7479484
OpenAlexW3082632851

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Registered trials

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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.