Evidence map›Paper›PMID 41115150›Full record

ReviewClinical and translational medicine2025

Telomere-metabolism-immunity axis in sarcoma: Immune evasion mechanisms and therapeutic strategies.

Ji-Yong Sung, June Hyuk Kim

Abstract readReview
In one paragraph

Review in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ji-Yong SungDepartment of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea.ORCID 0000-0002-8397-1691
June Hyuk KimDepartment of Orthopaedic Surgery, National Cancer Center, Goyang-si, South Korea.

Funding

Korean Government (MSIT) RS-2024-00440273NIH HHS 2024-ER0511-01
6 · The paper itself

Abstract

Sarcomas are a heterogeneous group of mesenchymal malignancies with poor prognosis and limited response to standard therapies, including immune checkpoint inhibitors (ICIs). Tumour-intrinsic factors-such as telomere maintenance mechanisms (TMMs) and metabolic reprogramming-play central roles in driving immune evasion and therapeutic resistance. Telomerase activation and alternative lengthening of telomeres sustain replicative immortality while influencing the tumour immune microenvironment. In parallel, metabolic adaptations, including glutamine dependency and arginine auxotrophy, further suppress antitumour immunity. Together, TMMs and metabolism form an integrated axis that shapes immune modulation and treatment outcomes. Recent advances-ranging from telomerase-based vaccines and TMM-targeted immunotherapies to metabolic modulators combined with ICIs-demonstrate the translational promise of targeting this axis. This review synthesises current knowledge on telomere‒metabolism crosstalk in sarcomas, highlights its impact on immunotherapy response, and outlines future directions for biomarker-driven, combinatorial strategies to overcome resistance and improve patient outcomes. KEY POINTS: Telomere maintenance mechanisms (telomerase reverse transcriptase and alternative lengthening of telomeres) reprogram metabolism and dampen innate immune sensing in sarcomas. Metabolic rewiring (glutamine addiction, glycolysis and fatty acid oxidation) fosters T-cell dysfunction and myeloid-derived suppressor cell accumulation. Targeting the telomere‒metabolism‒immunity axis offers strategies to overcome immunotherapy resistance.

Indexed as

Immune EvasionSarcomaTelomereHumansImmunotherapyTumor Microenvironmentcombinatorial strategyimmune evasionimmunotherapymetabolic reprogrammingsarcomatelomere maintenance mechanisms (TMMs)

Identifiers

PMID41115150
PMCPMC12536890

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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.