Evidence map›Paper›PMID 41293269›Full record

ReviewFrontiers in oncology2025

Rewiring tumor visibility: The immunopeptidome as a dynamic interface between antigen processing, microenvironmental stress, and immune recognition.

Kangkang Zhao, Yunlan Huang, Linlin Chang, Baiyu Wang, Mingshi Ye, Jinhong Qi

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

6 authors.

Kangkang ZhaoDepartment of 4th Radiotherapy, Jilin Cancer Hospital, Changchun, China.
Yunlan HuangDepartment of 2nd Gynecologic Oncology, Jilin Cancer Hospital, Changchun, China.
Linlin ChangDepartment of 2nd Gynecologic Oncology, Jilin Cancer Hospital, Changchun, China.
Baiyu WangDepartment of Anesthesiology, Jilin Provincial Cancer Hospital, Changchun, China.
Mingshi YeDepartment of 1st Breast Surgery, Jilin Cancer Hospital, Changchun, China.
Jinhong QiDepartment of 2nd Gynecologic Oncology, Jilin Cancer Hospital, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor immunopeptidome dictates whether malignant cells remain visible or invisible to immune surveillance, yet its regulation extends far beyond canonical antigen processing. Here, we synthesize recent insights into how proteasomes, immunoproteasomes, transporter associated with antigen processing (TAP), endoplasmic reticulum aminopeptidase (ERAP), and alternative pathways collectively shape peptide presentation, and how tumor-intrinsic rewiring intersects with microenvironmental stressors such as hypoxia, acidity, and epithelial-mesenchymal transition (EMT). We highlight post-translationally modified ligands as a qualitatively distinct class of tumor antigens, expanding the therapeutic landscape. Across various cancers, the immunoproteasome emerges as both a biomarker and a barometer, with prognostic and predictive value contingent upon the immune context. This duality highlights the necessity for context-aware therapeutic strategies, encompassing selective immunoproteasome modulation, TAP2-based biomarkers, and post-translational modification (PTM)-directed vaccines. Framing the immunopeptidome as a dynamic and rewritable interface provides both mechanistic insight into immune escape and a roadmap for precision immuno-oncology.

Indexed as

antigen processingimmunoproteasomeimmunotherapy biomarkerspost-translational modificationstumor immunopeptidome

Identifiers

PMID41293269
PMCPMC12640852

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.