Evidence map›Paper›PMID 42091739›Full record

ReviewCancer metastasis reviews2026

New biological insights into osteosarcoma-lessons from single cell sequencing studies.

Julia I Zehenter, Leo Kager, Sebastian K Eder, Sabine Taschner-Mandl, Snežana Hinić

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 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

5 authors.

Julia I ZehenterSt. Anna Children's Cancer Research Institute, Zimmermannplatz 10, 1090, Vienna, Austria.ORCID http://orcid.org/0009-0008-6942-6866
Leo KagerSt. Anna Children's Cancer Research Institute, Zimmermannplatz 10, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0003-4954-6488
Sebastian K EderSt. Anna Children's Cancer Research Institute, Zimmermannplatz 10, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0001-9061-0504
Sabine Taschner-MandlSt. Anna Children's Cancer Research Institute, Zimmermannplatz 10, 1090, Vienna, Austria. sabine.taschner@ccri.at.ORCID http://orcid.org/0000-0002-1439-5301
Snežana HinićSt. Anna Children's Cancer Research Institute, Zimmermannplatz 10, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0001-5549-7737

Funding

Austrian Science Fund 10.55776/EFP45
6 · The paper itself

Abstract

Osteosarcoma (OS), the most frequent primary malignant bone tumor in children and adolescents, is characterized by substantial inter- and intra-tumoral heterogeneity and an immunosuppressive tumor microenvironment (TME), constraining the efficacy of both standard chemotherapy and emerging immunotherapies. Recent advances in single-cell and single-nucleus RNA sequencing (scRNA-seq and snRNA-seq) have enabled high-resolution profiling of OS tumors, revealing diverse malignant, immune, and stromal cell populations. These studies have identified proliferative, inflammatory, and angiogenic tumor states, immunosuppressive myeloid subsets, exhausted T cells, and complex cell-cell communication networks that contribute to tumor progression and immune evasion. However, several challenges constrain the broader application of single-cell approaches in OS. The mineralized structure of bone tissue complicates dissociation into viable single cells, and the rarity of OS limits access to fresh specimens. Most existing datasets are based on small, heterogeneous cohorts and are generated using diverse protocols, which complicate data integration and comparison. Emerging methods are beginning to overcome these barriers. These include snRNA-seq for frozen and archival tissue, improved dissociation protocols for mineralized tumors, and integration with spatial transcriptomics to retain spatial context. Moving forward, combining single-cell transcriptomics with complementary modalities, such as immune repertoire analysis, chromatin accessibility profiling, and spatial proteo-genomics, combined with functional validation, will provide deeper insights into immune dynamics, regulatory mechanisms, and the cellular architecture of the OS TME. This review summarizes the current landscape of single-cell transcriptomics in OS and highlights methodological challenges in single-cell studies in OS tumors, recent biological insights, and their implication for immunotherapies.

Indexed as

Bone NeoplasmsOsteosarcomaSingle-Cell AnalysisAnimalsHumansSingle-Cell Gene Expression AnalysisTumor MicroenvironmentOsteosarcomaSingle-cell RNA-seqSingle-cell transcriptomicsSingle-nucleus RNA-seqTumor microenvironment

Identifiers

PMID42091739
PMCPMC13149624

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.