Evidence map›Paper›PMID 34383713›Full record

ArticleJCI insight2021

TGF-β1 protein trap AVID200 beneficially affects hematopoiesis and bone marrow fibrosis in myelofibrosis.

Lilian Varricchio, Camelia Iancu-Rubin, Bhaskar Upadhyaya, Maria Zingariello, Fabrizio Martelli, Paola Verachi, Cara Clementelli, Jean-Francois Denis, Adeeb H Rahman, Gilles Tremblay and 5 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 51 citations in OpenAlex.

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  15. Investigational drugs in early phase trials for myelofibrosis.Expert opinion on investigational drugs · 2024
    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

15 authors at 7 institutions in 4 countries.

Lilian VarricchioTisch Cancer Institute.
Camelia Iancu-RubinTisch Cancer Institute.
Bhaskar UpadhyayaHuman Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Maria ZingarielloUnit of Microscopic and Ultrastructural Anatomy, Department of Medicine, University Campus Bio-Medico, Rome, Italy.
Fabrizio MartelliNational Center for Drug Research and Evaluation, Istituto Superiore di Sanità, Rome, Italy.
Paola VerachiBiomedical and Neuromotorial Sciences, Alma Mater University, Bologna, Italy.
Cara ClementelliTisch Cancer Institute.
Jean-Francois DenisForbius, Saint-Laurent, Montreal, Quebec, Canada.
Adeeb H RahmanHuman Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Gilles TremblayForbius, Saint-Laurent, Montreal, Quebec, Canada.
John MascarenhasTisch Cancer Institute.
Ruben A MesaMays Cancer Center, San Antonio, Texas, USA.
Maureen O'Connor-McCourtForbius, Saint-Laurent, Montreal, Quebec, Canada.
Anna Rita MigliaccioBiomedical and Neuromotorial Sciences, Alma Mater University, Bologna, Italy.
Ronald HoffmanTisch Cancer Institute.
Cancer Institute (WIA) · INCégep de Saint-Laurent · CAIcahn School of Medicine at Mount Sinai · USUniversity of Bologna · ITIstituto Superiore di Sanità · ITMay Institute · USUniversità Campus Bio-Medico · IT

Funding

Tissue BankP01CA108671 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Ronald Hoffman · 2006 to 2026
$82.0M
NCI NIH HHS P01 CA108671
6 · The paper itself

Abstract

Myelofibrosis (MF) is a progressive chronic myeloproliferative neoplasm characterized by hyperactivation of JAK/STAT signaling and dysregulation of the transcription factor GATA1 in megakaryocytes (MKs). TGF-β plays a pivotal role in the pathobiology of MF by promoting BM fibrosis and collagen deposition and by enhancing the dormancy of normal hematopoietic stem cells (HSCs). In this study, we show that MF-MKs elaborated significantly greater levels of TGF-β1 than TGF-β2 and TGF-β3 to a varying degree, and we evaluated the ability of AVID200, a potent TGF-β1/TGF-β3 protein trap, to block the excessive TGF-β signaling. Treatment of human mesenchymal stromal cells with AVID200 significantly reduced their proliferation, decreased phosphorylation of SMAD2, and interfered with the ability of TGF-β1 to induce collagen expression. Moreover, treatment of MF mononuclear cells with AVID200 led to increased numbers of progenitor cells (PCs) with WT JAK2 rather than mutated JAK2V617F. This effect of AVID200 on MF PCs was attributed to its ability to block TGF-β1-induced p57Kip2 expression and SMAD2 activation, thereby allowing normal rather than MF PCs to preferentially proliferate and form hematopoietic colonies. To assess the in vivo effects of AVID200, Gata1lo mice, a murine model of MF, were treated with AVID200, resulting in the reduction in BM fibrosis and an increase in BM cellularity. AVID200 treatment also increased the frequency and numbers of murine progenitor cells as well as short-term and long-term HSCs. Collectively, these data provide the rationale for TGF-β1 blockade, with AVID200 as a therapeutic strategy for patients with MF.

Indexed as

AnimalsBone MarrowCell ProliferationCells, CulturedCollagen Type I, alpha 1 ChainCyclin-Dependent Kinase Inhibitor p57FemaleFemurGene ExpressionHematopoiesisHumansJanus Kinase 2MaleMegakaryocytesMesenchymal Stem CellsMiceCDKN1C protein, humanCOL1A1 protein, humanCollagen Type I, alpha 1 ChainCyclin-Dependent Kinase Inhibitor p57JAK2 protein, humanJanus Kinase 2Smad2 ProteinSMAD2 protein, humanTGFB1 protein, humanTGFB2 protein, humanTGFB3 protein, humanTransforming Growth Factor beta1Transforming Growth Factor beta2Transforming Growth Factor beta3HematologyHematopoietic stem cellsLeukemias

Identifiers

PMID34383713
PMCPMC8492354
OpenAlexW3187131292

What OpenQuestion 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 OpenQuestion graph.