Evidence map›Paper›PMID 41927850›Full record

ArticleScientific reports2026

Decoding CTCs in osteosarcoma: the molecular journey from initial tumor to metastasis.

Alessandro Di Gangi, Mariangela Morelli, Edoardo Ipponi, Fabrizio Catena, Luca Coccoli, Raffaele Gaeta, Paolo Aretini, Michele Menicagli, Alessandro Franchi, Gaia Palmini and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 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

16 authors.

Alessandro Di Gangi *Health Science Interdisciplinary Center, Sant'Anna School of Advanced Studies, Pisa, Italy.
Mariangela Morelli *Fondazione Pisana per la Scienza ONLUS, via Ferruccio Giovannini, 13, San Giuliano Terme, 56017, Pisa, PI, Italy.
Edoardo IpponiDepartment of Orthopedics and Trauma Surgery, University of Pisa, Pisa, Italy.
Fabrizio CatenaPediatric Onco-Hematology Unit, S. Chiara Hospital, AOUP, Pisa, Italy.
Luca CoccoliPediatric Onco-Hematology Unit, S. Chiara Hospital, AOUP, Pisa, Italy.
Raffaele GaetaSection of Pathology, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Paolo AretiniFondazione Pisana per la Scienza ONLUS, via Ferruccio Giovannini, 13, San Giuliano Terme, 56017, Pisa, PI, Italy.
Michele MenicagliFondazione Pisana per la Scienza ONLUS, via Ferruccio Giovannini, 13, San Giuliano Terme, 56017, Pisa, PI, Italy.
Alessandro FranchiSection of Pathology, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Gaia PalminiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio" (DSBSC), University of Florence, Florence, Italy.
Gabriella CasazzaPediatric Onco-Hematology Unit, S. Chiara Hospital, AOUP, Pisa, Italy.
Lorenzo AndreaniDepartment of Orthopedics and Trauma Surgery, University of Pisa, Pisa, Italy.
Teresa IantomasiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio" (DSBSC), University of Florence, Florence, Italy.
Maria Luisa BrandiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio" (DSBSC), University of Florence, Florence, Italy.
Chiara Maria Mazzanti *Fondazione Pisana per la Scienza ONLUS, via Ferruccio Giovannini, 13, San Giuliano Terme, 56017, Pisa, PI, Italy.
Francesca Lessi *Fondazione Pisana per la Scienza ONLUS, via Ferruccio Giovannini, 13, San Giuliano Terme, 56017, Pisa, PI, Italy. f.lessi@fpscience.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic relapse remains the main cause of treatment failure in pediatric osteosarcoma (OS), as conventional imaging often misses minimal residual or low-burden disease. Circulating tumor cells (CTCs) represent a promising non-invasive biomarker for monitoring tumor progression and heterogeneity. We developed an integrated workflow to isolate, enrich, and molecularly characterize CTCs from six pediatric OS patients. Peripheral blood mononuclear cells were enriched using the Parsortix system. CTCs were classified by immunofluorescence using epithelial (EpCAM, CK8/18/19) and mesenchymal (Vimentin, TWIST1) markers. Single cells were isolated via DEPArray, followed by whole-genome amplification and low-pass sequencing to assess copy number alterations (CNAs). In one patient, whole-exome sequencing (WES) was performed on bulk CTCs, primary tumor, and metastatic tissue to confirm tumor origin and identify shared somatic mutations. Across the cohort, 908 CTCs were identified, predominantly mesenchymal, with a smaller epithelial subset showing higher genomic complexity and CNA burden. WES confirmed overlapping mutations and CNAs among CTCs, primary, and metastatic tumors. Epithelial CTCs exhibited greater genomic instability than mesenchymal cells. Phenotype correlations with treatment response suggested potential links to histological necrosis. This study provides the first comprehensive phenotypic and genomic characterization of CTCs in pediatric OS, confirming their neoplastic nature and molecular heterogeneity. These findings support CTC-based monitoring as a minimally invasive tool for guiding personalized therapy and improving disease surveillance in high-risk OS patients.

Indexed as

Bone NeoplasmsNeoplastic Cells, CirculatingOsteosarcomaAdolescentBiomarkers, TumorChildDNA Copy Number VariationsExome SequencingFemaleHumansMaleMutationNeoplasm MetastasisBiomarkers, TumorCirculating tumor cellsCopy number alterationsLiquid biopsyMesenchymal-to-epithelial transitionOsteosarcomaWhole-exome sequencing

Identifiers

PMID41927850
PMCPMC13194890

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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.