Evidence map›Paper›PMID 32321919›Full record

ArticleBlood cancer journal2020

A high definition picture of somatic mutations in chronic lymphoproliferative disorder of natural killer cells.

Vanessa Rebecca Gasparini, Andrea Binatti, Alessandro Coppe, Antonella Teramo, Cristina Vicenzetto, Giulia Calabretto, Gregorio Barilà, Annica Barizza, Edoardo Giussani, Monica Facco and 4 more

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 36 citations in OpenAlex.

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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

14 authors at 2 institutions in 2 countries.

Vanessa Rebecca Gasparini *Department of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy.
Andrea Binatti *Department of Molecular Medicine, University of Padova, Padova, Italy.
Alessandro CoppeDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Antonella TeramoDepartment of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy.
Cristina VicenzettoDepartment of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy.
Giulia CalabrettoDepartment of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy.
Gregorio BarilàDepartment of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy.
Annica BarizzaDepartment of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy.
Edoardo GiussaniDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Monica FaccoDepartment of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy.
Satu MustjokiHematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.ORCID http://orcid.org/0000-0002-0816-8241
Gianpietro SemenzatoDepartment of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy. g.semenzato@unipd.it.ORCID http://orcid.org/0000-0002-6061-4595
Renato ZambelloDepartment of Medicine, Hematology and Clinical Immunology Branch, University of Padova, Padova, Italy.
Stefania BortoluzziDepartment of Molecular Medicine, University of Padova, Padova, Italy.ORCID http://orcid.org/0000-0001-8240-3070
University of Padua · ITUniversity of Helsinki · FI

Funding

Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) IG 20052Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) IG 20216Fondazione Cassa di Risparmio di Padova e Rovigo (Foundation Cariparo) PREMED-AL and CELLMinistero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research) 2017PPS2X4_003Sigrid Juséliuksen Säätiö (Sigrid Jusélius Foundation) M-IMM
6 · The paper itself

Abstract

The molecular pathogenesis of chronic lymphoproliferative disorder of natural killer (NK) cells (CLPD-NK) is poorly understood. Following the screening of 57 CLPD-NK patients, only five presented STAT3 mutations. WES profiling of 13 cases negative for STAT3/STAT5B mutations uncovered an average of 18 clonal, population rare and deleterious somatic variants per patient. The mutational landscape of CLPD-NK showed that most patients carry a heavy mutational burden, with major and subclonal deleterious mutations co-existing in the leukemic clone. Somatic mutations hit genes wired to cancer proliferation, survival, and migration pathways, in the first place Ras/MAPK, PI3K-AKT, in addition to JAK/STAT (PIK3R1 and PTK2). We confirmed variants with putative driver role of MAP10, MPZL1, RPS6KA1, SETD1B, TAOK2, TMEM127, and TNFRSF1A genes, and of genes linked to viral infections (DDX3X and RSF1) and DNA repair (PAXIP1). A truncating mutation of the epigenetic regulator TET2 and a variant likely abrogating PIK3R1-negative regulatory activity were validated. This study significantly furthered the view of the genes and pathways involved in CLPD-NK, indicated similarities with aggressive diseases of NK cells and detected mutated genes targetable by approved drugs, being a step forward to personalized precision medicine for CLPD-NK patients.

Indexed as

Clonal EvolutionMutationAdultAgedBiomarkers, TumorExome SequencingFemaleHumansKiller Cells, NaturalLymphoproliferative DisordersMaleMiddle AgedSTAT3 Transcription FactorBiomarkers, TumorSTAT3 protein, humanSTAT3 Transcription Factor

Identifiers

PMID32321919
PMCPMC7176632
OpenAlexW3019943341

What OpenQuestion holds

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LicenceCC BY
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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.