Evidence map›Paper›PMID 40007573›Full record

ArticleBiochemistry and biophysics reports2025

Comprehensive analysis of differential mRNA and circRNA profiles in primary and metastatic pancreatic neuroendocrine tumors.

Gang Li, Jing Zhang, Bentuo Zhang, Dan Wang, Zequn Wang, Yan Pan, Lijie Ma

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

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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

2 citing papers in PubMed.

  1. Review
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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.

Gang LiDepartment of General Surgery, Peking University Third Hospital, Beijing, 100191, China.
Jing ZhangInner Mongolia Key Laboratory of Molecular Biology, Inner Mongolia Medical University, Hohhot, 010059, China.
Bentuo ZhangDepartment of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, 100191, China.
Dan WangDepartment of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, 100191, China.
Zequn WangDepartment of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, 100191, China.
Yan PanDepartment of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, 100191, China.
Lijie MaInner Mongolia Key Laboratory of Molecular Biology, Inner Mongolia Medical University, Hohhot, 010059, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of primary pancreatic neuroendocrine tumors (pNETs) presents significant challenges, and metastatic pancreatic neuroendocrine tumors are associated with high mortality. Understanding the characteristics of these tumors, particularly the key molecules involved in metastasis, is essential. To address this, we utilized mRNA expression data from human pNET and metastatic pancreatic tumor tissues available in the GEO database and integrated this data with bioinformatics analyses. And then we collected clinical primary tumor and liver metastasis samples from patients with pNETs, we conducted a comprehensive analysis of circular RNAs (circRNAs) to identify key circRNAs associated with the onset and metastasis of pNETs. We found that in pNET development and metastasis, 11 genes and 14 circRNAs were notably upregulated, while 25 genes and 35 circRNAs were significantly downregulated, compared to nearby non-cancerous tissue. Our analysis of differentially expressed RNA and circRNA genes revealed that tumor cell adhesion and integrin activation, regulated by genes like PIEZO1, IFT74, SKAP1, GPX1, F7, VTN, and OMG, are strongly linked to pNET metastasis. We found that SKAP1 levels are positively associated with tumor progression in pNET patients. Overall, our research indicates that the SKAP1-mediated pathway is crucial in pNET development and metastasis.

Indexed as

CircRNA microarraysLive metastasisPrimary pancreatic neuroendocrine tumorRNA sequencingTumor adhesion

Identifiers

PMID40007573
PMCPMC11850739

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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.