Evidence map›Paper›PMID 35078859›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

Bone Marrow Surveillance of Pediatric Cancer Survivors Identifies Clones that Predict Therapy-Related Leukemia.

Barbara Spitzer, Kayleigh D Rutherford, Gunes Gundem, Erin M McGovern, Nathan E Millard, Juan E Arango Ossa, Irene Y Cheung, Teng Gao, Max F Levine, Yanming Zhang and 20 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
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

30 authors at 5 institutions in 2 countries.

Barbara SpitzerDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.
Kayleigh D RutherfordCenter for Computational Oncology, Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Gunes GundemCenter for Computational Oncology, Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Erin M McGovernCenter for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7949-0609
Nathan E MillardDivision of Hematology/Oncology, Department of Pediatrics, Seattle Children's Hospital, Seattle, Washington.
Juan E Arango OssaCenter for Computational Oncology, Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Irene Y CheungDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-1427-514X
Teng GaoBioinformatics and Integrative Genomics, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-0196-689X
Max F LevineDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.
Yanming ZhangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Juan S Medina-MartínezCenter for Computational Oncology, Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8444-153X
Yi FengDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.
Ryan N PtashkinDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-4275-5500
Kelly L BoltonDivision of Oncology, Department of Medicine, Washington University, St. Louis, Missouri.
Noushin FarnoudCenter for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, New York.
Yangyu ZhouCenter for Computational Oncology, Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Minal A PatelCenter for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, New York.
Georgios AsimomitisCenter for Computational Oncology, Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-9479-5451
Cassidy C CobbsIntegrated Genomics Core, Memorial Sloan Kettering Cancer Center, New York, New York.
Neeman MohibullahIntegrated Genomics Core, Memorial Sloan Kettering Cancer Center, New York, New York.
Kety H HubermanIntegrated Genomics Core, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8394-7010
Maria E ArcillaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Brian H KushnerDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.
Shakeel ModakDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrew L KungDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.
Ahmet ZehirDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5406-4104
Ross L LevineHuman Oncology and Oncogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Scott A ArmstrongDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Nai Kong V CheungDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6323-5171
Elli PapaemmanuilCenter for Computational Oncology, Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · USHarvard University · USInstitut thématique Génétique, génomique et bioinformatique · FRSeattle Children's Hospital · USWashington University in St. Louis · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
TYROSINE KINASE ONCOGENESIS IN MYELOID LEUKEMIAP01CA066996 · NCI · DANA-FARBER CANCER INSTITUTE · PI MATTHEW S DAVIDS · 1996 to 2026
$52.5M
Targeting to Epigenetic Modications in ALLR01CA176745 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ARMSTRONG, SCOTT A, QI, JUN · 2012 to 2022
$4.2M
Impact of Oncologic Therapy on Clonal Hematopoiesis and Subsequent Risk of Therapy-Related LeukemiaK08CA241318 · NCI · WASHINGTON UNIVERSITY · PI BOLTON, KELLY LEIGH · 2019 to 2023
$1.2M
NCI NIH HHS K08 CA241318NCI NIH HHS P01 CA066996NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA176745
6 · The paper itself

Abstract

purposeTherapy-related myelodysplastic syndrome and acute leukemias (t-MDS/AL) are a major cause of nonrelapse mortality among pediatric cancer survivors. Although the presence of clonal hematopoiesis (CH) in adult patients at cancer diagnosis has been implicated in t-MDS/AL, there is limited published literature describing t-MDS/AL development in children. EXPERIMENTAL

designWe performed molecular characterization of 199 serial bone marrow samples from 52 patients treated for high-risk neuroblastoma, including 17 with t-MDS/AL (transformation), 14 with transient cytogenetic abnormalities (transient), and 21 without t-MDS/AL or cytogenetic alterations (neuroblastoma-treated control). We also evaluated for CH in a cohort of 657 pediatric patients with solid tumor.

resultsWe detected at least one disease-defining alteration in all cases at t-MDS/AL diagnosis, most commonly TP53 mutations and KMT2A rearrangements, including involving two novel partner genes (PRDM10 and DDX6). Backtracking studies identified at least one t-MDS/AL-associated mutation in 13 of 17 patients at a median of 15 months before t-MDS/AL diagnosis (range, 1.3-32.4). In comparison, acquired mutations were infrequent in the transient and control groups (4/14 and 1/21, respectively). The relative risk for development of t-MDS/AL in the presence of an oncogenic mutation was 8.8 for transformation patients compared with transient. Unlike CH in adult oncology patients, TP53 mutations were only detectable after initiation of cancer therapy. Last, only 1% of pediatric patients with solid tumor evaluated had CH involving myeloid genes.

conclusionsThese findings demonstrate the clinical relevance of identifying molecular abnormalities in predicting development of t-MDS/AL and should guide the formation of intervention protocols to prevent this complication in high-risk pediatric patients.

Indexed as

Cancer SurvivorsLeukemia, Myeloid, AcuteNeuroblastomaAdultBone MarrowChildClone CellsHumans

Identifiers

PMID35078859
PMCPMC9983778
OpenAlexW4206962167

What OpenQuestion holds

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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 OpenQuestion graph.