Evidence map›Paper›PMID 37302922›Full record

ReviewTrends in cancer2023

Clonal evolution and hierarchy in myeloid malignancies.

Koichi Takahashi, Tomoyuki Tanaka

Abstract readReview
In one paragraph

Review in Trends in cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. DifferentCancers · 2026
    Article
  4. Review
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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

2 authors.

Koichi TakahashiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: ktakahashi@mdanderson.org.
Tomoyuki TanakaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Project 3: Contribution of inflammation and DNA damaging factors to clonal expansion and malignant transformation in a community cohort of older adultsP01CA265748 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Koichi Takahashi · 2022 to 2026
$13.6M
PPM1D in Clonal Hematopoiesis and MalignanciesR01CA237291 · NCI · BAYLOR COLLEGE OF MEDICINE · PI MARGARET A. GOODELL, Koichi Takahashi · 2019 to 2026
$3.7M
Novel combination therapy for AML expressing mutant RUNX1R01CA262636 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BHALLA, KAPIL, DINARDO, COURTNEY · 2021 to 2024
$2.1M
NCI NIH HHS P01 CA265748NCI NIH HHS R01 CA237291NCI NIH HHS R01 CA262636
6 · The paper itself

Abstract

Myeloid malignancies, a group of hematopoietic disorders that includes acute myeloid leukemia (AML), myelodysplastic syndromes (MDS), and myeloproliferative neoplasms (MPNs), are caused by the accumulation of genetic and epigenetic changes in hematopoietic stem and progenitor cells (HSPCs) over time. Despite the relatively low number of genomic drivers compared with other forms of cancer, the process by which these changes shape the genomic architecture of myeloid malignancies remains elusive. Recent advancements in clonal hematopoiesis research and the use of cutting-edge single cell technologies have shed new light on the developmental process of myeloid malignancies. In this review, we delve into the intricacies of clonal evolution in myeloid malignancies and its implications for the development of new diagnostic and therapeutic approaches.

Indexed as

Leukemia, Myeloid, AcuteMyelodysplastic SyndromesClonal EvolutionEpigenesis, GeneticHematopoietic Stem CellsHumansclonal evolutionmutation ordermyeloid malignanciessingle cell genomics

Identifiers

PMID37302922
PMCPMC10766088

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.