Evidence map›Paper›PMID 38305809›Full record

ArticleAging2024

A study on the role of Taxifolin in inducing apoptosis of pancreatic cancer cells: screening results using weighted gene co-expression network analysis.

Shao-Jie Chen, Li-Kun Ren, Xiao-Bin Fei, Peng Liu, Xing Wang, Chang-Hao Zhu, Yao-Zhen Pan

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. The path of GPR87: from a P2Y-like receptor to its role in cancer progression.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  7. Review
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 at 1 institution in 1 country.

Shao-Jie ChenDepartment of Hepatobiliary Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Li-Kun RenSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Xiao-Bin FeiSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Peng LiuDepartment of Hepatobiliary Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xing WangSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Chang-Hao ZhuDepartment of Hepatobiliary Surgery, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China.
Yao-Zhen PanSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Guiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic adenocarcinoma (PAAD) is a frequent malignant tumor in the pancreas. The incomplete understanding of cancer etiology and pathogenesis, as well as the limitations in early detection and diagnostic methods, have created an urgent need for the discovery of new therapeutic targets and drugs to control this disease. As a result, the current therapeutic options are limited. In this study, the weighted gene co-expression network analysis (WGCNA) method was employed to identify key genes associated with the progression and prognosis of pancreatic adenocarcinoma (PAAD) patients in the Gene Expression Profiling Interactive Analysis (GEPIA) database. To identify small molecule drugs with potential in the treatment of pancreatic adenocarcinoma (PAAD), we compared key genes to the reference dataset in the CMAP database. First, we analyzed the antitumor properties of small molecule drugs using cell counting kit-8 (CCK-8), AO/EB and Transwell assays. Subsequently, we integrated network pharmacology with molecular docking to explore the potential mechanisms of the identified molecules' anti-tumor effects. Our findings indicated that the progression and prognosis of PAAD patients in pancreatic cancer were associated with 11 genes, namely, DKK1, S100A2, CDA, KRT6A, ITGA3, GPR87, IL20RB, ZBED2, PMEPA1, CST6, and MUC16. These genes were filtered based on their therapeutic potential through comparing them with the reference dataset in the CMAP database. Taxifolin, a natural small molecule drug with the potential for treating PAAD, was screened by comparing it with the reference dataset in the CMAP database. Cell-based experiments have validated the potential of Taxifolin to facilitate apoptosis in pancreatic cancer cells while restraining their invasion and metastasis. This outcome is believed to be achieved via the HIF-1 signaling pathway. In conclusion, this study provided a theoretical basis for screening genes related to the progression of pancreatic cancer and discovered potentially active small molecule drugs. The experimental results confirm that Taxifolin has the ability to promote apoptosis in pancreatic cancer cells.

Indexed as

AdenocarcinomaPancreatic NeoplasmsApoptosisEarly Detection of CancerGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMembrane ProteinsMolecular Docking SimulationPancreasPrognosisQuercetinReceptors, Lysophosphatidic AcidGPR87 protein, humanMembrane ProteinsPMEPA1 protein, humanQuercetinReceptors, Lysophosphatidic AcidtaxifolinPAADTaxifolinweighted gene co-expression network analysis (WGCNA)

Identifiers

PMID38305809
PMCPMC10911370
OpenAlexW4391432299

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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.