Evidence map›Paper›PMID 42577532›Full record

ArticleFrontiers in cell and developmental biology2026

Valproic acid sensitizes resveratrol to induce glioma cell apoptosis via the ROS-PDCD4-Bax signaling axis.

He Wang, Xunjuan Zhang, Jing Li

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

He WangDepartment of Neurology, Jilin Provincial People's Hospital, Changchun, Jilin, China.
Xunjuan ZhangDepartment of Neurology, Jilin Provincial People's Hospital, Changchun, Jilin, China.
Jing LiNeurobiology Laboratory, Wannan Medical College, Wuhu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioma is an aggressive malignant brain tumor with poor prognosis. Resveratrol (RES) possesses anti-tumor activity yet limited clinical value. Valproic acid (VPA), a histone deacetylase inhibitor, boosts multiple anti-cancer drugs' efficacy. This study explored RES/VPA synergy in glioma cell lines and syngeneic mouse tumors, and confirmed the reactive oxygen species (ROS)-programmed cell death protein 4 (PDCD4)-Bax cascade drives combined pro-apoptotic and anti-invasive effects. Methods: CCK-8 detected cell proliferation; morphology and AO/EB staining assessed apoptosis. Wound healing and transwell assays measured migration. Western blot analyzed apoptosis and migration-related proteins, including PDCD4. Dihydroethidium staining tested intracellular ROS. Rescue assays used N-acetylcysteine (NAC) and PDCD4 knockdown; subcutaneous syngeneic mice validated Results: VPA alone exerted no significant cytotoxicity on glioma cells (p > 0.05 vs. NC), while RES inhibited U87MG and U251 cell proliferation in a concentration-dependent manner (p < 0.05, p < 0.01 vs. NC). RES/VPA co-treatment significantly enhanced cytotoxicity, suppressed migration and induced glioma cell apoptosis, with anti-tumor efficacy comparable to clinical doxorubicin (p > 0.05 Com vs. DOX; p < 0.01 Com vs. RES). Mechanistically, the combination markedly increased intracellular ROS accumulation (p < 0.001 Com vs. RES), upregulated PDCD4 expression (p < 0.01 Com vs. RES), and modulated apoptosis- and EMT-related protein levels to trigger cell apoptosis. NAC-mediated ROS scavenging or PDCD4 knockdown significantly abolished the synergistic pro-apoptotic effect of the combination therapy (p < 0.01 vs. Com), verifying the critical ROS-PDCD4 signaling function. Conclusion: RES combined with VPA exerts synergistic anti-glioma effects via the ROS-PDCD4-Bax signaling pathway, providing experimental evidence for VPA as an adjuvant in RES-based therapy. This combinatorial strategy overcomes the insufficient anti-tumor potency of RES monotherapy at the cellular and murine tumor level, expands the preclinical antitumor research value of natural polyphenols, and provides laboratory experimental reference for subsequent translational exploration of glioma therapy.

Indexed as

apoptosisgliomaPDCD4reactive oxygen speciesresveratrolvalproic acid

Identifiers

PMID42577532
PMCPMC13454235

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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.