Evidence map›Paper›PMID 30104685›Full record

ArticleScientific reports2018

Drug-based perturbation screen uncovers synergistic drug combinations in Burkitt lymphoma.

K Tomska, R Kurilov, K S Lee, J Hüllein, M Lukas, L Sellner, T Walther, L Wagner, M Oleś, B Brors and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  8. Targeting BET Proteins Downregulates miR-33a To Promote Synergy with PIM Inhibitors in CMML.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  9. Article
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  12. CDK9 inhibitors in multiple myeloma: a review of progress and perspectives.Medical oncology (Northwood, London, England) · 2022
    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

12 authors at 3 institutions in 2 countries.

K TomskaMolecular Therapy in Haematology and Oncology & Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany. katarzyna.tomska@med.uni-heidelberg.de.
R KurilovDivision of Applied Bioinformatics, DKFZ, Heidelberg, Germany.
K S LeeMolecular Therapy in Haematology and Oncology & Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany.
J HülleinMolecular Therapy in Haematology and Oncology & Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany.
M LukasMolecular Therapy in Haematology and Oncology & Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany.
L SellnerDepartment of Medicine V, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-7893-401X
T WaltherMolecular Therapy in Haematology and Oncology & Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany.
L WagnerMolecular Therapy in Haematology and Oncology & Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany.
M OleśGenome Biology Unit, EMBL, Heidelberg, Germany.ORCID 0000-0002-1520-1054
B BrorsDivision of Applied Bioinformatics, DKFZ, Heidelberg, Germany.
W HuberGenome Biology Unit, EMBL, Heidelberg, Germany.
T ZenzMolecular Therapy in Haematology and Oncology & Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany.
Heidelberg University · DEEuropean Molecular Biology Organization · DEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burkitt lymphoma (BL) is a highly aggressive B-cell lymphoma associated with MYC translocation. Here, we describe drug response profiling of 42 blood cancer cell lines including 17 BL to 32 drugs targeting key cancer pathways and provide a systematic study of drug combinations in BL cell lines. Based on drug response, we identified cell line specific sensitivities, i.e. to venetoclax driven by BCL2 overexpression and partitioned subsets of BL driven by response to kinase inhibitors. In the combination screen, including BET, BTK and PI3K inhibitors, we identified synergistic combinations of PI3K and BTK inhibition with drugs targeting Akt, mTOR, BET and doxorubicin. A detailed comparison of PI3K and BTKi combinations identified subtle differences, in line with convergent pathway activity. Most synergistic combinations were identified for the BET inhibitor OTX015, which showed synergistic effects for 41% of combinations including inhibitors of PI3K/AKT/mTOR signalling. The strongest synergy was observed for the combination of the CDK 2/7/9 inhibitor SNS032 and OTX015. Our data provide a landscape of drug combination effects in BL and suggest that targeting CDK and BET could provide a novel vulnerability of BL.

Indexed as

Phosphoinositide-3 Kinase InhibitorsAcetanilidesAgammaglobulinaemia Tyrosine KinaseAntineoplastic AgentsBridged Bicyclo Compounds, HeterocyclicBurkitt LymphomaCell Line, TumorDrug CombinationsDrug SynergismHeterocyclic Compounds, 3-RingHumansOxazolesProto-Oncogene Proteins c-bcl-2SulfonamidesThiazolesAcetanilidesAgammaglobulinaemia Tyrosine KinaseAntineoplastic AgentsBCL2 protein, humanBridged Bicyclo Compounds, HeterocyclicBTK protein, humanDrug CombinationsHeterocyclic Compounds, 3-RingN-(5-(((5-(1,1-dimethylethyl)-2-oxazolyl)methyl)thio)-2-thiazolyl)-4-piperidinecarboxamideOTX015OxazolesPhosphoinositide-3 Kinase InhibitorsProto-Oncogene Proteins c-bcl-2SulfonamidesThiazolesvenetoclax

Identifiers

PMID30104685
PMCPMC6089937
OpenAlexW2885580058

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.