Evidence map›Paper›PMID 40046246›Full record

ArticleBMJ oncology2024

Enhanced immune responses are accompanied by increased MAGEA expression in osteosarcoma metastases.

Debora M Meijer, Siddh van Oost, Jessica P Roelands, Dina Ruano, I H Briaire-de Bruijn, B E van den Akker, A B Kruisselbrink, P M Wijers-Koster, Manon van der Ploeg, Marieke Ijsselsteijn and 9 more

Abstract read
In one paragraph

Article in BMJ oncology, 2024. 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

19 authors.

Debora M MeijerDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.ORCID 0000-0002-6399-3084
Siddh van OostPathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2281-5780
Jessica P RoelandsDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
Dina RuanoDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
I H Briaire-de BruijnDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
B E van den AkkerDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
A B KruisselbrinkDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
P M Wijers-KosterDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
Manon van der PloegDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
Marieke IjsselsteijnDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.ORCID 0000-0002-8195-736X
S W LamDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
Arnoud H de RuCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
R T N TjokrodirijoCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
M A J van de SandeDepartment of Orthopaedic Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Hans GelderblomLeiden University Medical Center, Leiden, The Netherlands.
Peter A Van VeelenCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.ORCID 0000-0002-7898-9408
M L KuijjerDepartment of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
Noel de Miranda *Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
Judith V M G Bovee *Department of Pathology, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Osteosarcoma is the most common primary bone sarcoma. About 50% of patients develop metastatic disease and their 5-year survival lingers at around 20%-30%. T cell checkpoint blockade immunotherapies have revolutionised cancer treatment in the last decade, but their impact remains limited in osteosarcoma. Methods and analysis: In order to reveal potentially novel immunotherapeutic strategies for advanced osteosarcoma, we conducted an immunogenomic characterisation of a unique sample set comprising 30 osteosarcoma samples from seven patients, collected throughout disease progression. We performed RNA-sequencing and imaging mass cytometry analysis on these samples to reveal the immunological landscape during osteosarcoma progression. Results: Transcriptional and phenotypical hallmarks of cytotoxic T cell-driven anticancer immunity were enriched in metastatic lesions as compared with primary tumours. Spatial analysis showed T cells infiltrating central regions of osteosarcoma metastases, indicating the absence of an immune excluded environment. In parallel, we found a pronounced increase in the expression of cancer testis antigens, particularly melanoma antigen family A (MAGEA)-related antigens, in osteosarcoma metastases, which was validated in an independent cohort (N=91). In addition, we demonstrated the presentation of MAGE-derived peptides in three out of four osteosarcoma cell lines. Conclusion: These findings indicate a concurrent augmentation of cytotoxic antitumour immune responses and expression of MAGEA antigens from primary to metastatic osteosarcoma. This observation suggests the exploration of MAGEA antigens as potential targets for immunotherapy in the treatment of advanced osteosarcoma.

Indexed as

Bone cancerImmunotherapy

Identifiers

PMID40046246
PMCPMC11880787

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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.