Evidence map›Paper›PMID 39277669›Full record

ArticleLeukemia2024

HDAC7 is a potential therapeutic target in acute erythroid leukemia.

Wenyu Zhang, Keita Yamamoto, Yu-Hsuan Chang, Tomohiro Yabushita, Yangying Hao, Ruka Shimura, Jakushin Nakahara, Shiori Shikata, Kohei Iida, Qianyi Chen and 3 more

Abstract read
In one paragraph

Article in Leukemia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

13 authors.

Wenyu ZhangDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Keita Yamamoto *Division of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Yu-Hsuan Chang *Division of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Tomohiro Yabushita *Division of Molecular Pharmacology of Malignant Diseases, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Yangying HaoDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Ruka ShimuraDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0009-0000-5636-1049
Jakushin NakaharaDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Shiori ShikataDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Kohei IidaDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Qianyi ChenDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Xichen ZhangDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Toshio KitamuraDivision of Molecular Pharmacology of Malignant Diseases, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7855-1767
Susumu GoyamaDivision of Molecular Oncology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan. goyama@edu.k.u-tokyo.ac.jp.ORCID 0000-0002-9339-1826

Funding

Daiichi Sankyo Foundation of Life Science research grantJapan Agency for Medical Research and Development (AMED) 22ck0106644s0202Japan Agency for Medical Research and Development (AMED) 23ama221514h0002Japan Agency for Medical Research and Development (AMED) JP23ama221223Japan Society for the Promotion of Science London (JSPS London) 22H03100MEXT | Japan Society for the Promotion of Science (JSPS) 19H04756MEXT | Japan Society for the Promotion of Science (JSPS) 20H00537MEXT | Japan Society for the Promotion of Science (JSPS) 21H00274MEXT | Japan Society for the Promotion of Science (JSPS) 22KK0127MEXT | Japan Society for the Promotion of Science (JSPS) JP22K16319Princess Takamatsu Cancer Research Fund research grant
6 · The paper itself

Abstract

Acute erythroleukemia (AEL) is a rare subtype of acute myeloid leukemia with a poor prognosis. In this study, we established a novel murine AEL model with Trp53 depletion and ERG overexpression. ERG overexpression in Trp53-deficient mouse bone marrow cells, but not in wild-type bone marrow cells, leads to AEL development within two months after transplantation with 100% penetrance. The established mouse AEL cells expressing Cas9 can be cultured in vitro, induce AEL in vivo even in unirradiated recipient mice, and enable efficient gene ablation using the CRISPR/Cas9 system. We also confirmed the cooperation between ERG overexpression and TP53 inactivation in promoting the growth of immature erythroid cells in human cord blood cells. Mechanistically, ERG antagonizes KLF1 and inhibits erythroid maturation, whereas TP53 deficiency promotes proliferation of erythroid progenitors. Furthermore, we identified HDAC7 as a specific susceptibility in AEL by the DepMap-based two-group comparison analysis. HDAC7 promotes the growth of human and mouse AEL cells both in vitro and in vivo through its non-enzymatic functions. Our study provides experimental evidence that TP53 deficiency and ERG overexpression are necessary and sufficient for the development of AEL and highlights HDAC7 as a promising therapeutic target for this disease.

Indexed as

Histone DeacetylasesLeukemia, Erythroblastic, AcuteTumor Suppressor Protein p53AnimalsCell ProliferationCRISPR-Cas SystemsDisease Models, AnimalHumansMiceTranscriptional Regulator ERGHDAC7 protein, humanHistone DeacetylasesTranscriptional Regulator ERGTrp53 protein, mouseTumor Suppressor Protein p53

Identifiers

PMID39277669
PMCPMC11588653

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.