Evidence map›Paper›PMID 31269723›Full record

ArticleJournal of clinical medicine2019

Preclinical Evidence of STAT3 Inhibitor Pacritinib Overcoming Temozolomide Resistance via Downregulating miR-21-Enriched Exosomes from M2 Glioblastoma-Associated Macrophages.

Hao-Yu Chuang, Yu-Kai Su, Heng-Wei Liu, Chao-Hsuan Chen, Shao-Chih Chiu, Der-Yang Cho, Shinn-Zong Lin, Yueh-Sheng Chen, Chien-Min Lin

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

  1. Pooled it
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  16. Unraveling the complexity of STAT3 in cancer: molecular understanding and drug discovery.Journal of experimental & clinical cancer research : CR · 2024
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3 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 1 country.

Hao-Yu ChuangGraduate Institute of Clinical Medical Science, China Medical University, Taichung 404, Taiwan.
Yu-Kai SuGraduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei City 11031, Taiwan.
Heng-Wei LiuGraduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei City 11031, Taiwan.
Chao-Hsuan ChenCenter for Cell Therapy, China Medical University Hospital, Taichung 404, Taiwan.ORCID 0000-0002-5200-6653
Shao-Chih ChiuCenter for Cell Therapy, China Medical University Hospital, Taichung 404, Taiwan.
Der-Yang ChoCenter for Cell Therapy, China Medical University Hospital, Taichung 404, Taiwan.
Shinn-Zong LinBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien 97004, Taiwan.
Yueh-Sheng ChenDepartment of Biomedical Imaging and Radiological Science, China Medical University, Taichung 404, Taiwan. yuehsc@mail.cmu.edu.tw.
Chien-Min LinGraduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei City 11031, Taiwan. m513092004@tmu.edu.tw.ORCID 0000-0001-5404-0145
China Medical University · TWTaipei Medical University-Shuang Ho Hospital · TWTzu Chi University · TW

Funding

Ministry of Science and Technology, Taiwan MOST 107-2314-b-038-056-MY3
6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) plays a crucial role in virtually every aspect of tumorigenesis of glioblastoma multiforme (GBM). A dysfunctional TME promotes drug resistance, disease recurrence, and distant metastasis. Recent evidence indicates that exosomes released by stromal cells within the TME may promote oncogenic phenotypes via transferring signaling molecules such as cytokines, proteins, and microRNAs.

resultsIn this study, clinical GBM samples were collected and analyzed. We found that GBM-associated macrophages (GAMs) secreted exosomes which were enriched with oncomiR-21. Coculture of GAMs (and GAM-derived exosomes) and GBM cell lines increased GBM cells' resistance against temozolomide (TMZ) by upregulating the prosurvival gene programmed cell death protein 4 (PDCD4) and stemness markers SRY (sex determining region y)-box 2 (Sox2), signal transducer and activator of transcription 3 (STAT3), Nestin, and miR-21-5p and increasing the M2 cytokines interleukin 6 (IL-6) and transforming growth factor beta 1(TGF-β1) secreted by GBM cells, promoting the M2 polarization of GAMs. Subsequently, pacritinib treatment suppressed GBM tumorigenesis and stemness; more importantly, pacritinib-treated GBM cells showed a markedly reduced ability to secret M2 cytokines and reduced miR-21-enriched exosomes secreted by GAMs. Pacritinib-mediated effects were accompanied by a reduction of oncomiR miR-21-5p, by which the tumor suppressor PDCD4 was targeted. We subsequently established patient-derived xenograft (PDX) models where mice bore patient GBM and GAMs. Treatment with pacritinib and the combination of pacritinib and TMZ appeared to significantly reduce the tumorigenesis of GBM/GAM PDX mice as well as overcome TMZ resistance and M2 polarization of GAMs.

conclusionIn summation, we showed the potential of pacritinib alone or in combination with TMZ to suppress GBM tumorigenesis via modulating STAT3/miR-21/PDCD4 signaling. Further investigations are warranted for adopting pacritinib for the treatment of TMZ-resistant GBM in clinical settings.

Indexed as

exosomesGBM-associated macrophages (GAMs)glioblastoma multiforme (GBM)oncomiR-21STAT3 inhibitortumor microenvironment (TME)

Identifiers

PMID31269723
PMCPMC6678764
OpenAlexW2947403474

What OpenQuestion 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 OpenQuestion graph.