Evidence map›Paper›PMID 41827907›Full record

ArticleCells2026

Longitudinal Detection of Tumor-Specific Peptides in Cerebrospinal Fluid for Pediatric Brain Tumor Surveillance.

Kelsi M Chesney, Jeffrey R Whiteaker, Brian Hood, Ming Zhou, Huizen Zhang, Samuel Rivero-Hinojosa, Amanda G Paulovich, Thomas P Conrads, Brian R Rood

Abstract read
In one paragraph

Article in Cells, 2026. 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

9 authors.

Kelsi M ChesneyBrain Tumor Institute, Center for Cancer and Immunology Research, Children's National Research Institute, Washington, DC 20010, USA.
Jeffrey R WhiteakerFred Hutchinson Cancer Center, University of Washington, Seattle, WA 98109, USA.ORCID 0000-0001-5042-8580
Brian HoodHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA.
Ming ZhouWomen's Health Integrated Research Center, Women's Service Line, Inova Health System, Annandale, VA 22003, USA.
Huizen ZhangBrain Tumor Institute, Center for Cancer and Immunology Research, Children's National Research Institute, Washington, DC 20010, USA.
Samuel Rivero-HinojosaBrain Tumor Institute, Center for Cancer and Immunology Research, Children's National Research Institute, Washington, DC 20010, USA.ORCID 0000-0002-3595-8273
Amanda G PaulovichFred Hutchinson Cancer Center, University of Washington, Seattle, WA 98109, USA.ORCID 0000-0001-6532-6499
Thomas P ConradsWomen's Health Integrated Research Center, Women's Service Line, Inova Health System, Annandale, VA 22003, USA.
Brian R RoodBrain Tumor Institute, Center for Cancer and Immunology Research, Children's National Research Institute, Washington, DC 20010, USA.

Funding

Proteogenomic studies to understand mechanisms and drivers of resistance to immunotherapiesU01CA271407 · NCI · FRED HUTCHINSON CANCER CENTER · PI Diwakar Davar, AMANDA G PAULOVICH · 2022 to 2026
$5.6M
A proteomics research specialist in developing targeted mass spectrometry methods for quantifying proteins important in cancerR50CA211499 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jeff Whiteaker · 2016 to 2026
$2.8M
Jeff Gordon 44568Lilabean 44844NCI NIH HHS R50 CA211499NCI NIH HHS U01 CA271407
6 · The paper itself

Abstract

Pediatric brain tumor survivors remain at high risk of recurrence, yet current surveillance strategies relying on neuroimaging and cerebrospinal fluid (CSF) cytology have limited sensitivity for early or minimal disease. Tumor-specific peptides (TSPs) derived from individual tumors represent a promising class of highly specific biomarkers for longitudinal disease monitoring through CSF-based proteomic analysis. In this study, tumor tissue and serial CSF samples from six pediatric brain tumor patients (five medulloblastomas and one atypical teratoid/rhabdoid tumor (ATRT)) were analyzed using an integrated proteogenomic workflow combining discovery and targeted mass spectrometry. TSPs were identified from resected tumor tissue and matched against shotgun CSF proteomic datasets to nominate candidate biomarkers. High-confidence peptides were synthesized as isotopically labeled standards and quantified longitudinally using targeted multiple reaction monitoring. Two TSP biomarkers derived from individualized pediatric brain tumors (one medulloblastoma and one ATRT) demonstrated robust detection in serial CSF samples and exhibited temporal concordance with radiographic disease course, declining with treatment response and increasing during disease progression. These findings establish the feasibility of detecting and longitudinally quantifying TSPs in CSF and support further investigation of individualized proteomic biomarkers for treatment response monitoring and disease surveillance in pediatric brain tumors.

Indexed as

Biomarkers, TumorBrain NeoplasmsPeptidesChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleMedulloblastomaProteomicsBiomarkers, TumorPeptidescerebrospinal fluidliquid biopsylongitudinal disease monitoringmass spectrometryneuro-oncologypediatric brain tumorsproteomicstumor-specific peptides

Identifiers

PMID41827907
PMCPMC12984984

What OpenQuestion holds

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Registered trials

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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.