Evidence map›Paper›PMID 35432196›Full record

ArticleFrontiers in endocrinology2022

Identification of the Shared Gene Signatures and Biological Mechanism in Type 2 Diabetes and Pancreatic Cancer.

Yifang Hu, Ni Zeng, Yaoqi Ge, Dan Wang, Xiaoxuan Qin, Wensong Zhang, Feng Jiang, Yun Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
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  8. Gene Dysregulation and Islet Changes in PDAC-Associated Type 3c Diabetes.International journal of molecular sciences · 2025
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  17. A CLRN3-Based CD8Biomolecules · 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

8 authors at 4 institutions in 1 country.

Yifang HuDepartment of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ni ZengDepartment of Dermatology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Yaoqi GeDepartment of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Dan WangDepartment of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiaoxuan QinDepartment of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wensong ZhangDepartment of Pharmacy, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Feng JiangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Yun LiuDepartment of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CNObstetrics and Gynecology Hospital of Fudan University · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between pancreatic cancer (PC) and type 2 diabetes mellitus (T2DM) has long been widely recognized, but the interaction mechanisms are still unknown. This study was aimed to investigate the shared gene signatures and molecular processes between PC and T2DM. Methods: The Gene Expression Omnibus (GEO) database was used to retrieve the RNA sequence and patient information of PC and T2DM. Weighted gene co-expression network analysis (WGCNA) was performed to discover a co-expression network associated with PC and T2DM. Enrichment analysis of shared genes present in PC and T2DM was performed by ClueGO software. These results were validated in the other four cohorts based on differential gene analysis. The predictive significance of S100A6 in PC was evaluated using univariate and multivariate Cox analyses, as well as Kaplan-Meier plots. The biological process of S100A6 enrichment in PC was detected using Gene Set Enrichment Analysis (GSEA). The involvement of S100A6 in the tumor immune microenvironment (TIME) was assessed by CIBERSORT. Results: WGCNA recognized three major modules for T2DM and two major modules for PC. There were 44 shared genes identified for PC and T2DM, and Gene Ontology (GO) analysis showed that regulation of endodermal cell fate specification was primarily enriched. In addition, a key shared gene Conclusions: This study firstly revealed that the regulation of endodermal cell fate specification may be common pathogenesis of PC and T2DM and identified S100A6 as a possible biomarker and therapeutic target for PC and T2DM patients.

Indexed as

Diabetes Mellitus, Type 2Pancreatic NeoplasmsGene OntologyGene Regulatory NetworksHumansTumor Microenvironmentendodermal cell fate specificationpancreatic cancerS100A6type 2 diabetesWGCNA

Identifiers

PMID35432196
PMCPMC9010232
OpenAlexW4220830673

What Socratic holds

Textmetadata
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 Socratic graph.