Evidence map›Paper›PMID 33542466›Full record

ArticleNPJ precision oncology2021

Mutated clones driving leukemic transformation are already detectable at the single-cell level in CD34-positive cells in the chronic phase of primary myelofibrosis.

Sandra Parenti, Sebastiano Rontauroli, Chiara Carretta, Selene Mallia, Elena Genovese, Chiara Chiereghin, Clelia Peano, Lara Tavernari, Elisa Bianchi, Sebastian Fantini and 6 more

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  9. Rare evolution ofLeukemia research reports · 2022
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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

16 authors at 2 institutions in 1 country.

Sandra Parenti *Centre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Sebastiano Rontauroli *Centre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Chiara Carretta *Centre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Selene Mallia *Centre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Elena GenoveseCentre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Chiara ChiereghinHumanitas Clinical and Research Center - IRCCS, Rozzano - Milan, Italy.
Clelia PeanoHumanitas Clinical and Research Center - IRCCS, Rozzano - Milan, Italy.
Lara TavernariCentre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Elisa BianchiCentre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Sebastian FantiniCentre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Stefano SartiniCentre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Oriana RomanoCenter for Genome Research, University of Modena and Reggio Emilia, Modena, Italy.ORCID http://orcid.org/0000-0002-3483-1115
Silvio BicciatoCenter for Genome Research, University of Modena and Reggio Emilia, Modena, Italy.ORCID http://orcid.org/0000-0002-1944-7078
Enrico TagliaficoCenter for Genome Research, University of Modena and Reggio Emilia, Modena, Italy.
Matteo Della PortaHumanitas Clinical and Research Center - IRCCS, Rozzano - Milan, Italy.
Rossella ManfrediniCentre for Regenerative Medicine "S. Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy. rossella.manfredini@unimore.it.ORCID http://orcid.org/0000-0003-0660-6110
University of Modena and Reggio Emilia · ITHumanitas University · IT

Funding

Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 19818Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 21267Ministero della Salute (Ministry of Health, Italy) RF-2016-02362930Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research) 2017WXR7ZT_005
6 · The paper itself

Abstract

Disease progression of myeloproliferative neoplasms is the result of increased genomic complexity. Since the ability to predict disease evolution is crucial for clinical decisions, we studied single-cell genomics and transcriptomics of CD34-positive cells from a primary myelofibrosis (PMF) patient who progressed to acute myeloid leukemia (AML) while receiving Ruxolitinib. Single-cell genomics allowed the reconstruction of clonal hierarchy and demonstrated that TET2 was the first mutated gene while FLT3 was the last one. Disease evolution was accompanied by increased clonal heterogeneity and mutational rate, but clones carrying TP53 and FLT3 mutations were already present in the chronic phase. Single-cell transcriptomics unraveled repression of interferon signaling suggesting an immunosuppressive effect exerted by Ruxolitinib. Moreover, AML transformation was associated with a differentiative block and immune escape. These results suggest that single-cell analysis can unmask tumor heterogeneity and provide meaningful insights about PMF progression that might guide personalized therapy.

Identifiers

PMID33542466
PMCPMC7862275
OpenAlexW3126896713

What OpenQuestion holds

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LicenceCC BY
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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.