Evidence map›Paper›PMID 38165708›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

GATA-3-dependent Gene Transcription is Impaired upon HDAC Inhibition.

Xiangrong Geng, Chenguang Wang, Suhaib Abdelrahman, Thilini Perera, Badeia Saed, Ying S Hu, Ashley Wolfe, John Reneau, Carlos Murga-Zamalloa, Ryan A Wilcox

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. 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 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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  3. 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

10 authors at 4 institutions in 1 country.

Xiangrong Geng *Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-0682-5236
Chenguang Wang *Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-9082-2117
Suhaib AbdelrahmanDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-0483-0074
Thilini PereraDepartment of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois.ORCID 0000-0002-0452-945X
Badeia SaedDepartment of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois.ORCID 0000-0002-5522-6694
Ying S HuDepartment of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, Illinois.ORCID 0000-0002-3912-7063
Ashley WolfeDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-0340-2788
John ReneauDepartment of Medicine, Division of Hematology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.ORCID 0000-0001-6838-2410
Carlos Murga-ZamalloaDepartment of Pathology, University of Illinois Chicago, Chicago, Illinois.ORCID 0000-0002-2238-5066
Ryan A WilcoxDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-6420-0760
University of Michigan · USIllinois College · USThe Ohio State University · USUniversity of Illinois Chicago · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric R. Fearon · 1988 to 2026
$178.2M
THE T-CELL RECEPTOR'S ROLE IN T-CELL LYMPHOMA PATHOGENESISR37CA233476 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILCOX, RYAN A · 2019 to 2025
$2.2M
Notch and GATA-3 as novel therapeutic targets in T-cell lymphomasR01CA236722 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILCOX, RYAN A · 2020 to 2024
$1.8M
NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA236722NCI NIH HHS R37 CA233476
6 · The paper itself

Abstract

purposeMany peripheral and cutaneous T-cell lymphoma (CTCL) subtypes are poorly responsive to conventional chemotherapeutic agents and associated with dismal outcomes. The zinc finger transcription factor GATA-3 and the transcriptional program it instigates are oncogenic and highly expressed in various T-cell neoplasms. Posttranslational acetylation regulates GATA-3 DNA binding and target gene expression. Given the widespread use of histone deacetylase inhibitors (HDACi) in relapsed/refractory CTCL, we sought to examine the extent to which these agents attenuate the transcriptional landscape in these lymphomas. EXPERIMENTAL

designIntegrated GATA-3 chromatin immunoprecipitation sequencing and RNA sequencing analyses were performed in complementary cell line models and primary CTCL specimens treated with clinically available HDACi.

resultsWe observed that exposure to clinically available HDACi led to significant transcriptional reprogramming and increased GATA-3 acetylation. HDACi-dependent GATA-3 acetylation significantly impaired both its ability to bind DNA and transcriptionally regulate its target genes, thus leading to significant transcriptional reprogramming in HDACi-treated CTCL.

conclusionsBeyond shedding new light on the mechanism of action associated with HDACi in CTCL, these findings have significant implications for their use, both as single agents and in combination with other novel agents, in GATA-3-driven lymphoproliferative neoplasms.

Indexed as

Lymphoma, T-Cell, CutaneousSkin NeoplasmsAcetylationDNAHistone Deacetylase InhibitorsHumansTranscription, GeneticDNAHistone Deacetylase Inhibitors

Identifiers

PMID38165708
PMCPMC10922852
OpenAlexW4390511765

What OpenQuestion holds

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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.