Evidence map›Paper›PMID 42185884›Full record

ReviewMolecular cancer2026

SUMOylation in cancer: molecular mechanisms and therapeutic implications.

Yu Ding, Fei Li, Jia-Mei Wang

Abstract readReview
In one paragraph

Review in Molecular cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yu Ding *Department of Breast and Thyroid, Guiyang Maternal and Child Health Care Hospital, Guiyang, 550003, P. R. China.
Fei Li *Department of Plastic Surgery, Zhejiang Hospital, Hangzhou, 310013, P.R. China.
Jia-Mei WangDepartment of Plastic Surgery, The Second People's Hospital of Guiyang (Jinyang Hospital)/The Affiliated Jinyang Hospital of Guizhou Medical University, Guiyang, 550023, P.R. China. 1191945087@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small Ubiquitin-like Modifier modification (SUMOylation), a critical post-translational modification, plays a dual role in cancer by regulating both tumor cell-intrinsic properties and the tumor immune microenvironment (TIME). Based on a synthesis of direct mechanistic, functional/preclinical, and correlative evidence, it promotes immune evasion through multiple mechanisms: suppressing antigen presentation, limiting immunopeptidome diversity, regulating immune checkpoint molecules (with direct evidence for PD-L1 and TIGIT, while support for other checkpoints remains indirect), and modulating immune cell differentiation and function. Pharmacological inhibition of SUMOylation (e.g., TAK-981, ML792) reverses these immunosuppressive effects by restoring antigen presentation, activating type I interferon responses, enhancing CD8 + T cell cytotoxicity, and reducing regulatory T cells. Notably, while prospective validation is still lacking, SUMOylation-related gene signatures hold promise as prognostic markers and correlative candidate indicators of immunotherapy response. Furthermore, preclinical models demonstrate that SUMOylation inhibitors synergize with immune checkpoint blockade to enhance anti-tumor efficacy, although this synergistic effect has not yet been validated in clinical settings. This review consolidates current knowledge on the immunologic and translational dimensions of SUMOylation-from molecular mechanisms to therapeutic implications-into a single narrative focused on how SUMOylation shapes the TIME and its implications for cancer immunotherapy.

Indexed as

NeoplasmsSumoylationAnimalsHumansImmunotherapyTumor MicroenvironmentCancerMicroenvironmentMolecular mechanismSUMOylationTherapy

Identifiers

PMID42185884
PMCPMC13386914

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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.