Evidence map›Paper›PMID 42012689›Full record

ArticleCancer immunology, immunotherapy : CII2026

Repurposing public sarcoma multi-omics for neoantigen discovery.

Panagiotis Mantas, Karen A Krogfelt

Erratum issuedAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

5 · Who and what money

Authors and funding

2 authors.

Panagiotis MantasDepartment of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark. panman@dtu.dk.ORCID http://orcid.org/0000-0001-6106-409X
Karen A KrogfeltDepartment of Science and Environment, Roskilde University, 4000, Roskilde, Denmark.ORCID http://orcid.org/0000-0001-7536-3453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoft tissue sarcomas, particularly complex karyotype sarcomas (CKS), are characterized as "immunologically cold" malignancies driven by structural instability rather than a high tumor mutational burden (TMB). Public "legacy" cohorts are a useful resource to uncover immunotherapy biomarkers. This study used the whole-exome sequencing (WES) and RNA-sequencing of CKS patients, to overcome technical limitations and to identify and prioritize neoantigens.

methodsThe systematic immunogenomic reanalysis was performed on a landmark cohort of CKS patients (Kim et al., 2018) with a custom bioinformatics workflow which was developed to uncover interpretable immunogenomic signals. This approach consisted of: (1) defining a quality-controlled "callable territory" and normalizing TMB metrics, respectively; (2) utilizing RNA-seq not only for expression filtering but as an orthogonal validation check for variant transcription and to distinguish functional amplifications from technical depth artifacts; and (3) applying a multi-modal epitope prediction pipeline to identify and prioritize high-affinity neoantigens derived from both somatic SNVs, indels and expressed gene fusions.

resultsThe reanalysis shows that standard genome-wide metrics frequently underestimated the immunogenic potential. Normalizing the TMB refined quantitative mutation burden estimates and improved interpretation of low-coverage samples without essentially changing the overall cohort classification. Furthermore, integration of transcriptomic data facilitated the recovery of actionable targets in "low-TMB" tumors. A subset of fusion-derived peptides demonstrated predicted binding affinities competitive with SNV-derived candidates.

conclusionThis study illustrates that technically constrained multi-omic datasets can be systematically re-analyzed to identify potential therapeutic targets. These data argue for looking beyond aggregate biomarkers; patient-specific, expressed neoepitopes may exist even in sarcomas typically described as immunologically "cold".

Indexed as

Antigens, NeoplasmBiomarkers, TumorSarcomaExome SequencingGenomicsHumansMultiomicsMutationAntigens, NeoplasmBiomarkers, TumorComplex karyotype sarcomasImmunogenomicsLegacy sequencingRNA-guided neoantigens

Identifiers

PMID42012689
PMCPMC13100081

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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.