Evidence map›Paper›PMID 42133898›Full record

ArticleJCO precision oncology2026

Clinical Liquid Biopsy Testing for Detection of Actionable Genomic Alterations in Children and Young Adults With Advanced Solid Tumors on the GAIN Study.

Holly J Roberts, Hannah Comeau, Kelly Klega, Steven G DuBois, Lorena Lazo de la Vega, Evelina Ceca, Elizabeth A Mullen, Geoffrey A Smith, Hanna Tukachinsky, Richard S P Huang and 6 more

Abstract readMulticenter Study
In one paragraph

Article in JCO precision oncology, 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.

Holly J RobertsBoston Children's Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0002-8425-0503
Hannah ComeauDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0002-8064-5305
Kelly KlegaDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0002-3424-2003
Steven G DuBoisDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0003-0882-738X
Lorena Lazo de la VegaDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0003-3609-0098
Evelina CecaDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.
Elizabeth A MullenDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0002-6704-0002
Geoffrey A SmithDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0002-1638-4219
Hanna TukachinskyFoundation Medicine Inc, Boston, MA.ORCID 0000-0002-0777-7555
Richard S P HuangFoundation Medicine Inc, Boston, MA.ORCID 0000-0001-8395-5168
Amaya GascoFoundation Medicine Inc, Boston, MA.ORCID 0000-0002-2838-9076
Katerina HoskovaFoundation Medicine Inc, Boston, MA.
Douglas I LinFoundation Medicine Inc, Boston, MA.ORCID 0000-0003-0105-9760
Brian D CromptonDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0001-9404-6621
Katherine A JanewayDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0001-6000-3594
David S ShulmanDana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA.ORCID 0000-0002-5994-2604

Funding

Validation and implementation of ctDNA as a clinically informative biomarkerin AYAs with sarcomas.K08CA290061 · NCI · DANA-FARBER CANCER INST · PI David Shulman · 2024 to 2026
$760k
NCI NIH HHS K08 CA290061
6 · The paper itself

Abstract

purposeGiven the paucity of data regarding circulating tumor DNA (ctDNA) as a modality to guide diagnosis and treatment for children with advanced solid tumors, we conducted a prospective study to characterize the frequency and clinical impact of diagnostic and targetable genomic variants identified by clinical ctDNA testing.

methodsOur study cohort included 36 children and young adults with advanced solid tumors enrolled in the prospective, multicenter molecular profiling GAIN study. Tumor samples underwent next-generation sequencing, and serial blood samples were analyzed by the FoundationOne Liquid Companion Diagnostic ctDNA test. We evaluated the prevalence of ctDNA in our cohort using ctDNA tumor fraction (TF), the prevalence of genomic variants in ctDNA compared with those in tumor tissue stratified by ctDNA TF, the association between ctDNA TF and radiographic disease response, and the clinical impact of ctDNA testing.

resultsIn our cohort, 67% of patients had at least one liquid biopsy sample with detectable ctDNA by TF. Most patients (72%) had detection of a clinically relevant genomic alteration in at least one ctDNA sample. Most (85%) short variants and translocations identified in tissue were present in ctDNA when TF ≥ 1%, with variation by tumor type. We demonstrated statistically significant differences in absolute ctDNA TF changes among patients with radiographic disease progression (mean, +12.2%, standard deviation, 18.7%) and response (mean, -23.4%, standard deviation, 30.6%),

conclusionctDNA is prevalent across a wide range of advanced pediatric solid tumors, identifies clinically important variants, changes with radiographic disease burden, and has a clinical impact.

Indexed as

Circulating Tumor DNANeoplasmsAdolescentChildChild, PreschoolFemaleGenomicsHumansLiquid BiopsyMaleProspective StudiesYoung AdultCirculating Tumor DNA

Identifiers

PMID42133898
PMCPMC13339765

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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.