Evidence map›Paper›PMID 27297795›Full record

ArticleBlood2016

High-content screening identifies kinase inhibitors that overcome venetoclax resistance in activated CLL cells.

Sina Oppermann, Jarkko Ylanko, Yonghong Shi, Santosh Hariharan, Christopher C Oakes, Patrick M Brauer, Juan C Zúñiga-Pflücker, Brian Leber, David E Spaner, David W Andrews

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
9.1field-weighted citation impact, top 1% 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

70 citing papers in PubMed, 125 citations in OpenAlex.

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  10. NF-kB and the CLL microenvironment.Frontiers in oncology · 2023
    Review
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10 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 2 countries.

Sina OppermannBiology Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada;
Jarkko YlankoBiology Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada;
Yonghong ShiBiology Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada;
Santosh HariharanBiology Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada;
Christopher C OakesDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH;
Patrick M BrauerDepartment of Immunology, University of Toronto, Toronto, ON, Canada;
Juan C Zúñiga-PflückerBiology Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada; Department of Immunology, University of Toronto, Toronto, ON, Canada;
Brian LeberDepartment of Medicine, McMaster University, Hamilton, ON, Canada;
David E SpanerBiology Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada; Department of Immunology, University of Toronto, Toronto, ON, Canada; Sunnybrook Odette Cancer Center, Toronto, ON, Canada; and Department of Medical Biophysics and.
David W AndrewsBiology Platform, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada; Sunnybrook Odette Cancer Center, Toronto, ON, Canada; and Department of Medical Biophysics and Department of Biochemistry, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-9266-7157
Sunnybrook Health Science Centre · CAMcMaster University · CAThe Ohio State University · USUniversity of Toronto · CA

Funding

CIHR FRN 12517CIHR MOP130479
6 · The paper itself

Abstract

Novel agents such as the Bcl-2 inhibitor venetoclax (ABT-199) are changing treatment paradigms for chronic lymphocytic leukemia (CLL) but important problems remain. Although some patients exhibit deep and durable responses to venetoclax as a single agent, other patients harbor subpopulations of resistant leukemia cells that mediate disease recurrence. One hypothesis for the origin of resistance to venetoclax is by kinase-mediated survival signals encountered in proliferation centers that may be unique for individual patients. An in vitro microenvironment model was developed with primary CLL cells that could be incorporated into an automated high-content microscopy-based screen of kinase inhibitors (KIs) to identify agents that may improve venetoclax therapy in a personalized manner. Marked interpatient variability was noted for which KIs were effective; nevertheless, sunitinib was identified as the most common clinically available KI effective in overcoming venetoclax resistance. Examination of the underlying mechanisms indicated that venetoclax resistance may be induced by microenvironmental signals that upregulate antiapoptotic Bcl-xl, Mcl-1, and A1, which can be counteracted more efficiently by sunitinib than by ibrutinib or idelalisib. Although patient-specific drug responses are common, for many patients, combination therapy with sunitinib may significantly improve the therapeutic efficacy of venetoclax.

Indexed as

Drug Evaluation, PreclinicalAdeninebcl-X ProteinBridged Bicyclo Compounds, HeterocyclicCellular MicroenvironmentDose-Response Relationship, DrugDrug Resistance, NeoplasmHumansImaging, Three-DimensionalIndolesLeukemia, Lymphocytic, Chronic, B-CellMutationPiperidinesProtein Kinase InhibitorsPurinesPyrazolesAdeninebcl-X ProteinBridged Bicyclo Compounds, HeterocyclicibrutinibidelalisibIndolesPiperidinesProtein Kinase InhibitorsPurinesPyrazolesPyrimidinesPyrrolesQuinazolinonesSulfonamidesSunitinibvenetoclax

Identifiers

PMID27297795
PMCPMC5000578
OpenAlexW2510710599

What OpenQuestion holds

Textmetadata
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.