Evidence map›Paper›PMID 31990679›Full record

ArticleJCI insight2020

Cellular and molecular architecture of hematopoietic stem cells and progenitors in genetic models of bone marrow failure.

Stephanie Heidemann, Brian Bursic, Sasan Zandi, Hongbing Li, Sagi Abelson, Robert J Klaassen, Sharon Abish, Meera Rayar, Vicky R Breakey, Houtan Moshiri and 5 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. [Advancements in CRISPR-Cas9 for Fanconi anemia].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2025
    Review
  3. Article
  4. Clonal evolution in inherited marrow failure syndromes predicts disease progression.Hematology. American Society of Hematology. Education Program · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Mechanisms of somatic transformation in inherited bone marrow failure syndromes.Hematology. American Society of Hematology. Education Program · 2021
    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

15 authors at 8 institutions in 2 countries.

Stephanie HeidemannGenetics & Genome Biology Program and.
Brian BursicGenetics & Genome Biology Program and.
Sasan ZandiPrincess Margaret Cancer Centre, Toronto, Ontario, Canada.
Hongbing LiGenetics & Genome Biology Program and.
Sagi AbelsonPrincess Margaret Cancer Centre, Toronto, Ontario, Canada.
Robert J KlaassenDepartment of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
Sharon AbishHematology-Oncology, Montreal Children's Hospital, Montreal, Quebec, Canada.
Meera RayarDivision of Hematology, Oncology & Bone Marrow Transplant, University of British Columbia and British Columbia Children's Hospital, Vancouver, British Columbia, Canada.
Vicky R BreakeyDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.
Houtan MoshiriGenetics & Genome Biology Program and.
Santhosh DhanrajGenetics & Genome Biology Program and.
Richard de BorjaGenetics & Genome Biology Program and.
Adam ShlienGenetics & Genome Biology Program and.
John E DickPrincess Margaret Cancer Centre, Toronto, Ontario, Canada.
Yigal DrorGenetics & Genome Biology Program and.
Institut thématique Génétique, génomique et bioinformatique · FRHospital for Sick Children · CAPrincess Margaret Cancer Centre · CABC Children's Hospital · CAChildren's Hospital of Eastern Ontario · CAMcMaster University · CAMontreal Children's Hospital · CAUniversity of Toronto · CA

Funding

CIHR 377600CIHR 378100
6 · The paper itself

Abstract

Inherited bone marrow failure syndromes, such as Fanconi anemia (FA) and Shwachman-Diamond syndrome (SDS), feature progressive cytopenia and a risk of acute myeloid leukemia (AML). Using deep phenotypic analysis of early progenitors in FA/SDS bone marrow samples, we revealed selective survival of progenitors that phenotypically resembled granulocyte-monocyte progenitors (GMP). Whole-exome and targeted sequencing of GMP-like cells in leukemia-free patients revealed a higher mutation load than in healthy controls and molecular changes that are characteristic of AML: increased G>A/C>T variants, decreased A>G/T>C variants, increased trinucleotide mutations at Xp(C>T)pT, and decreased mutation rates at Xp(C>T)pG sites compared with other Xp(C>T)pX sites and enrichment for Cancer Signature 1 (X indicates any nucleotide). Potential preleukemic targets in the GMP-like cells from patients with FA/SDS included SYNE1, DST, HUWE1, LRP2, NOTCH2, and TP53. Serial analysis of GMPs from an SDS patient who progressed to leukemia revealed a gradual increase in mutational burden, enrichment of G>A/C>T signature, and emergence of new clones. Interestingly, the molecular signature of marrow cells from 2 FA/SDS patients with leukemia was similar to that of FA/SDS patients without transformation. The predicted founding clones in SDS-derived AML harbored mutations in several genes, including TP53, while in FA-derived AML the mutated genes included ARID1B and SFPQ. We describe an architectural change in the hematopoietic hierarchy of FA/SDS with remarkable preservation of GMP-like populations harboring unique mutation signatures. GMP-like cells might represent a cellular reservoir for clonal evolution.

Indexed as

Models, GeneticBone Marrow Failure DisordersClonal EvolutionHematopoietic Stem CellsHumansLeukemia, Myeloid, AcuteMutationMyelodysplastic SyndromesBone marrowGenetic diseasesHematologyLeukemiasOncology

Identifiers

PMID31990679
PMCPMC7101147
OpenAlexW2986138628

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.