Evidence map›Paper›PMID 28025581›Full record

ArticleLeukemia2017

PML-RARA-associated cooperating mutations belong to a transcriptional network that is deregulated in myeloid leukemias.

C Ronchini, A Brozzi, L Riva, L Luzi, A M Gruszka, G E M Melloni, E Scanziani, G Dharmalingam, M Mutarelli, V Belcastro and 8 more

Abstract read
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In one paragraph

Article in Leukemia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Blood · 2019
    Article
  5. Article
  6. Article
  7. Differentiation therapy revisited.Nature reviews. Cancer · 2018
    Review
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

18 authors at 10 institutions in 1 country.

C RonchiniCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia, Milan, Italy.
A BrozziDepartment of Experimental Oncology, European Institute of Oncology, Milan, Italy.
L RivaCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia, Milan, Italy.
L LuziDepartment of Experimental Oncology, European Institute of Oncology, Milan, Italy.
A M GruszkaDepartment of Experimental Oncology, European Institute of Oncology, Milan, Italy.
G E M MelloniCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia, Milan, Italy.
E ScanzianiMouse &Animal Pathology Laboratory, Fondazione Filarete, Milan, Italy.
G DharmalingamTelethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Naples, Italy.
M MutarelliTelethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Naples, Italy.
V BelcastroDepartment of Electrical Engineering and Information Technology, University of Naples 'Federico II', Naples, Italy.
S LavorgnaDepartment of Biomedicine and Prevention, University of 'Rome Tor Vergata', Rome, Italy.
V RossiCentro Ricerca Tettamanti, Clinica Pediatrica, Università di Milano Bicocca, Ospedale San Gerardo, Monza, Italy.
O SpinelliHematology and Bone Marrow Transplant Unit of Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy.
A BiondiClinica Pediatrica, Università di Milano Bicocca, Ospedale San Gerardo, Monza, Italy.
A RambaldiHematology and Bone Marrow Transplant Unit of Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy.
F Lo-CocoDepartment of Biomedicine and Prevention, University of 'Rome Tor Vergata', Rome, Italy.
D di BernardoTelethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Naples, Italy.
P G PelicciDepartment of Experimental Oncology, European Institute of Oncology, Milan, Italy.
European Institute of Oncology · ITTelethon Institute Of Genetics And Medicine · ITCenter for Genomic Science · ITOspedale Papa Giovanni XXIII · ITUniversity of Milano-Bicocca · ITFondazione Santa Lucia · ITItalian Institute of Technology · ITUniversity of Milan · ITUniversity of Naples Federico II · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been shown that individual acute myeloid leukemia (AML) patients are characterized by one of few initiating DNA mutations and 5-10 cooperating mutations not yet defined among hundreds identified by massive sequencing of AML genomes. We report an in vivo insertional-mutagenesis screen for genes cooperating with one AML initiating mutations (PML-RARA, oncogene of acute promyelocytic leukemia, APL), which allowed identification of hundreds of genetic cooperators. The cooperators are mutated at low frequency in APL or AML patients but are always abnormally expressed in a cohort of 182 APLs and AMLs analyzed. These deregulations appear non-randomly distributed and present in all samples, regardless of their associated genomic mutations. Reverse-engineering approaches showed that these cooperators belong to a single transcriptional gene network, enriched in genes mutated in AMLs, where perturbation of single genes modifies expression of others. Their gene-ontology analysis showed enrichment of genes directly involved in cell proliferation control. Therefore, the pool of PML-RARA cooperating mutations appears large and heterogeneous, but functionally equivalent and deregulated in the majority of APLs and AMLs. Our data suggest that the high heterogeneity of DNA mutations in APLs and AMLs can be reduced to patterns of gene expression deregulation of a single 'mutated' gene network.

Indexed as

MutationAnimalsCarcinogenesisDatabases, GeneticGene Regulatory NetworksHumansLeukemia, MyeloidLeukemia, Myeloid, AcuteLeukemia, Promyelocytic, AcuteMiceNIH 3T3 CellsOncogene Proteins, FusionOncogene Proteins, Fusionpromyelocytic leukemia-retinoic acid receptor alpha fusion oncoprotein

Identifiers

PMID28025581
OpenAlexW2562800253

What OpenQuestion holds

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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.