Evidence map›Paper›PMID 33058427›Full record

ArticleJournal of cellular and molecular medicine2020

Loss of TG-Interacting Factor 1 decreases survival in mouse models of myeloid leukaemia.

Ling Yan, Utpal P Davé, Michael Engel, Stephen J Brandt, Rizwan Hamid

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Ling YanDepartments of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0001-5727-3278
Utpal P DavéDepartment of Medicine, and Microbiology and Immunology, Indiana University, Indianapolis, IN, USA.ORCID 0000-0002-9416-1686
Michael EngelDepartment of Pediatrics, University of Virginia, Charlottesville, VA, USA.
Stephen J BrandtDepartments of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Rizwan HamidDepartments of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0001-5063-7614

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Targeting the GFI1-LSD1 Axis in T-Cell Acute Lymphoblastic LeukemiaR01CA201235 · NCI · UNIVERSITY OF VIRGINIA · PI ENGEL, MICHAEL E · 2017 to 2022
$1.9M
The Role of LMO2 in the Pathogenesis of T-cell LeukemiaR01CA207530 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI DAVE, UTPAL P · 2016 to 2020
$1.8M
Functions of the TG-Interacting Transcription Factor (TGIF) in HematopoiesisK08HL089903 · NHLBI · VANDERBILT UNIVERSITY · PI HAMID, RIZWAN · 2009 to 2012
$441k
BLRD VA I01 BX001799NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA201235NCI NIH HHS R01 CA207530NHLBI NIH HHS K08 HL089903
6 · The paper itself

Abstract

TG-Interacting Factor 1 (Tgif1) affects proliferation and differentiation of myeloid cells and regulates self-renewal of haematopoietic stem cells (HSCs). To determine its impact on leukaemic haematopoiesis, we induced acute or chronic myeloid leukaemias (AML or CML) in mice by enforced expression of MLL-AF9 or BCR-ABL, respectively, in Tgif1

Indexed as

Biomarkers, TumorAnimalsCell SurvivalDisease Models, AnimalHomeodomain ProteinsHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, Myeloid, AcuteMiceMice, KnockoutPrognosisRecurrenceRepressor ProteinsSequence DeletionBiomarkers, TumorHomeodomain ProteinsRepressor ProteinsTgif1 protein, mouseacute myeloid leukaemiabone marrow cellschronic myeloid leukaemialeukaemia-initiating cellsTG-Interacting Factor 1

Identifiers

PMID33058427
PMCPMC7701585

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Registered trials

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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.