Evidence map›Paper›PMID 41644857›Full record

ArticleDiscover oncology2026

miR-27b-3p directly targets PPARG to regulate pancreatic cancer progression.

Lijun Zhu, Cuiping Long, Yaxin Tang, Chenxi Wu, Linxi Wei, Tao Ye, Jun Chen

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Lijun Zhu *Department of Intervention Radiology, Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, China.
Cuiping Long *Department of Pharmacy, Shanghai Baoshan Luodian Hospital, Shanghai, 201908, China.
Yaxin TangDepartment of Pharmacy, Shanghai Baoshan Luodian Hospital, Shanghai, 201908, China.
Chenxi WuDepartment of Pharmacy, Shanghai Baoshan Luodian Hospital, Shanghai, 201908, China.
Linxi WeiDepartment of Pharmacy, Shanghai Baoshan Luodian Hospital, Shanghai, 201908, China.
Tao YeDepartment of General Surgery, Shanghai Baoshan Luodian Hospital, No. 121, Luoxi Road, Luodian Town, Baoshan District, Shanghai, 201908, China. taogupvo984@163.com.
Jun ChenDepartment of Pharmacy, Baoshan Brance, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 1058, Huanzhen North Road, Baoshan District, Shanghai, 200444, China. junchen1908@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmiR-27b-3p is dysregulated in many cancers, but its expression, clinical role, and mechanism in pancreatic cancer are not fully understood.

objectiveThis study aimed to evaluate the clinical value of miR-27b-3p in PC and its role in pancreatic cancer (PC) progression by targeting PPARG.

methodqRT-PCR was used to measure miR-27b-3p and PPARG levels in 106 paired PC tissues and adjacent non-tumor tissues, and in PC cell lines (PANC-1, SW1990, BxPC-3, AsPC-1) and HPDE cells. Kaplan-Meier and multivariate Cox analyses assessed miR-27b-3p prognostic value. CCK-8 and Transwell assays evaluated the impact of miR-27b-3p inhibition on PC cell function. Dual-luciferase reporter and Pearson correlation analyses confirmed the targeting of PPARG by miR-27b-3p. A PPARG knockdown rescue experiment verified that miR-27b-3p function depends on PPARG.

resultsmiR-27b-3p was highly expressed in PC tissues and cell lines and linked to lymph node metastasis, distant metastasis, elevated CA19-9 levels, and poor overall survival. Multivariate Cox analysis showed high miR-27b-3p expression as an independent predictor of poor prognosis. In vitro, miR-27b-3p inhibition suppressed PANC-1 cell proliferation, migration, and invasion. PPARG was a direct target of miR-27b-3p and was downregulated at both mRNA and protein levels. A negative correlation was found between miR-27b-3p and PPARG mRNA in PC tissues. PPARG knockdown reversed the effects of miR-27b-3p inhibition, confirming functional dependence.

conclusionmiR-27b-3p functions as an oncogenic miRNA in PC by targeting PPARG and may be a prognostic biomarker and therapeutic target.

Indexed as

miR-27b-3pPancreatic cancerPPARGPrognostic biomarkerTargeted therapy

Identifiers

PMID41644857
PMCPMC12972339

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LicenceCC BY-NC-ND
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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.