Evidence map›Paper›PMID 42882818›Full record

ArticleCancers2026

Enrichment-Free Rare Cell Profiling in Pediatric Osteosarcoma Reveals a Circulating Cell Population Associated with Relapse-Free Survival.

Stephanie N Shishido, Siddhant Chaudhary, Ian Ward, Camilla Plascencia-Laija, Anya Zdanowicz, Venkata Yellapantula, Jeremy Mason, James Hicks, Fariba Navid, Peter Kuhn

Abstract read
In one paragraph

Article in Cancers, 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

10 authors.

Stephanie N ShishidoConvergent Science Institute in Cancer (CSI-Cancer), Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
Siddhant ChaudharyConvergent Science Institute in Cancer (CSI-Cancer), Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
Ian WardConvergent Science Institute in Cancer (CSI-Cancer), Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-8720-1264
Camilla Plascencia-LaijaConvergent Science Institute in Cancer (CSI-Cancer), Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0009-0009-7825-4450
Anya ZdanowiczCancer and Blood Disease Institute, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
Venkata YellapantulaCancer and Blood Disease Institute, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
Jeremy MasonConvergent Science Institute in Cancer (CSI-Cancer), Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-5933-5003
James HicksConvergent Science Institute in Cancer (CSI-Cancer), Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0001-5353-4338
Fariba NavidCancer and Blood Disease Institute, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
Peter KuhnConvergent Science Institute in Cancer (CSI-Cancer), Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-2629-4505

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089United States Department of Defense HT94252320062USC Michelson Convergent Science Institute in CancerUSC Norris Comprehensive Cancer Center P30CA014089Vassiliadis Research Fund
6 · The paper itself

Abstract

backgroundOutcomes for patients with osteosarcoma (OS) presenting with metastases at diagnosis or relapsed remain poor with five-year survival rate of only 20-30%. Risk stratification at diagnosis remains limited, and no validated prognostic liquid biopsy analyte currently exists for this disease. OS lacks the recurring mutational hotspots and epithelial surface markers that underpin liquid biopsy strategies developed for carcinomas, necessitating fundamentally different approaches to circulating biomarker detection.

methodsPeripheral blood samples from 25 pediatric and young adult OS patients at clinically apparent disease timepoints (

resultsRare cells were detected at a median of approximately 127 cells/mL (range: 29-1114) in OS patients at clinically apparent disease timepoints versus 34 cells/mL (range: 4-225) in healthy donors. DAPI-only (D) cells, identified using a data-driven optimal cutpoint (38.32 cells/mL) that is subject to optimization bias and requires independent validation, were associated with relapse-free survival in this exploratory, single-center OS cohort (log-rank

conclusionsEnrichment-free rare cell profiling identifies a DAPI-only circulating rare cell population whose abundance is associated with relapse-free survival in this exploratory, single-center OS cohort, accessible by nuclear morphology alone without biomarker enrichment. This is a novel, hypothesis-generating observation that, together with the mesenchymal-forward D|V population characterized here, motivates a larger, independent, prospective validation cohort and dedicated single-cell molecular (proteomic) characterization of the D-cell population, rather than establishing DAPI-only rare cell enumeration as a validated liquid biopsy stratification tool at this stage.

Indexed as

circulating tumor cellscopy number alterationDAPI-onlydeep learningKaplan-Meierliquid biopsynon-enrichmentosteosarcomaoutlier detectionpediatric sarcomaprognostic biomarkerrelapse-free survivalvimentin

Identifiers

PMID42882818
PMCPMC13663973

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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.