Evidence map›Paper›PMID 41317288›Full record

ReviewJournal of cancer research and clinical oncology2025

Insights into SUMOylation in gastric cancer: molecular mechanisms and emerging therapeutic opportunities.

Peyman Tabnak, Mohammad Ebrahimnezhad

Abstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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

2 authors.

Peyman TabnakImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. drtabnak@gmail.com.
Mohammad EbrahimnezhadImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. Mohamad.ibrahimnezhad@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer remains a significant global health challenge due to its aggressive behavior, high mortality rates, and limited treatment success. Growing research underscores the critical role of SUMOylation, a reversible post-translational modification, in regulating key cellular processes such as DNA repair, gene expression, genomic stability, and signaling pathways. Aberrant SUMOylation is closely linked to gastric cancer development, metastasis, and resistance to therapies, positioning it as a potential therapeutic target. This review consolidates current knowledge of the SUMOylation system, which involves activating (E1), conjugating (E2), and ligating (E3) enzymes, alongside SUMO-specific proteases (SENPs) that reverse the modification. We explore how SUMOylation influences cancer-promoting and tumor-suppressing pathways by stabilizing or degrading critical proteins, modulating immune responses, driving epithelial-mesenchymal transition, and contributing to chemoresistance. Furthermore, we discuss promising therapeutic approaches targeting SUMOylation, including small-molecule inhibitors, natural bioactive compounds, and synthetic lethal strategies that exploit SUMO pathway weaknesses. Preclinical studies suggest these approaches could enhance chemotherapy and immunotherapy effectiveness, offering new precision treatment options. Deepening our understanding of SUMOylation in gastric cancer is vital for developing innovative, mechanism-driven therapies to improve patient outcomes.

Indexed as

Stomach NeoplasmsSumoylationAnimalsEpithelial-Mesenchymal TransitionHumansMolecular Targeted TherapySignal TransductionGastric cancerPost-translational modificationsProtein stabilitySUMOylation

Identifiers

PMID41317288
PMCPMC12664871

What OpenQuestion holds

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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.