Evidence map›Paper›PMID 28913558›Full record

ArticleJournal of cancer research and clinical oncology2017

Only SETBP1 hotspot mutations are associated with refractory disease in myeloid malignancies.

Nils Winkelmann, Vivien Schäfer, Jenny Rinke, Alexander Kaiser, Philipp Ernst, Sebastian Scholl, Andreas Hochhaus, Thomas Ernst

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of cancer research and clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 9 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

8 authors at 1 institution in 1 country.

Nils WinkelmannAbteilung Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.ORCID http://orcid.org/0000-0001-7772-8225
Vivien SchäferAbteilung Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Jenny RinkeAbteilung Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Alexander KaiserAbteilung Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Philipp ErnstAbteilung Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Sebastian SchollAbteilung Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Andreas HochhausAbteilung Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Thomas ErnstAbteilung Hämatologie und Internistische Onkologie, Klinik für Innere Medizin II, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany. thomas.ernst@med.uni-jena.de.
Klinikum Magdeburg · DE

Funding

This study was funded by the Interdisciplinary Center for Clinical Research (Universitätsklinikum Jena, Germany) with the Junior project grant No. J43. J43
6 · The paper itself

Abstract

introductionSETBP1 mutations have been established as a diagnostic marker in myeloid malignancies and are associated with inferior survival. Since there is limited data on their clinical impact and stability during disease progression, we sought to investigate the relationship between SETBP1 mutations and disease evolution.

methodsBidirectional Sanger sequencing of the SETBP1 gene was performed for 442 unselected patients with World Health Organization (WHO) defined myeloid disorders. Follow-up analysis was performed on samples from 123/442 patients to investigate SETBP1 mutation dynamics. Targeted deep next-generation sequencing for a panel of 30 leukemia-associated genes was established to study SETBP1 cooperating mutations.

results10/442 patients (2.3%) had SETBP1 hotspot mutations (MDS/MPN, n = 7, sAML, n = 3), whereas four patients (1%) had SETBP1 non-hotspot mutations (MPN, n = 1; MDS, n = 2; sAML, n = 1). The median overall survival for patients with SETBP1 hotspot mutations, SETBP1 non-hotspot mutations, and SETBP1 wild type was 14 (range 0-31), 50 (range 0-71), and 47 months (range 0-402), respectively. In Kaplan-Meier analysis, SETBP1 hotspot mutations were significantly associated with reduced overall survival compared to SETBP1 non-hotspot mutations and the SETBP1 wild type (p < 0.001). All 10 patients with SETBP1 hotspot mutations died from relapse or disease progression. Three of four patients with SETBP1 non-hotspot mutations are alive with stable disease. Cooperating CSF3R and TET2 mutations were most frequently observed in patients with SETBP1 hotspot mutations.

conclusionsPatients with SETBP1 hotspot mutations suffered from aggressive disease with rapid evolution and inferior overall survival. Patients with SETBP1 non-hotspot mutations had less aggressive disease and a more favorable prognosis. Diagnostic screens for SETBP1 hotspot mutations may help identifying this dismal patient group and treat them in multicenter clinical studies.

Indexed as

Germ-Line MutationAdolescentAdultAgedAged, 80 and overBiomarkers, TumorCarrier ProteinsCohort StudiesFemaleHumansLeukemia, MyeloidMaleMiddle AgedMyelodysplastic SyndromesNuclear ProteinsPrognosisBiomarkers, TumorCarrier ProteinsNuclear ProteinsSETBP1 protein, humanLeukemia-associated genesMDS/MPNMyeloid malignanciessAMLSETBP1 hotspot mutations

Identifiers

PMID28913558
PMCPMC11819309
OpenAlexW2755950631

What OpenQuestion holds

Textmetadata
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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.