Evidence map›Paper›PMID 34861096›Full record

ArticleMolecular oncology2022

Mcl-1 and Bcl-xL levels predict responsiveness to dual MEK/Bcl-2 inhibition in B-cell malignancies.

Katrine Melvold, Mariaserena Giliberto, Linda Karlsen, Pilar Ayuda-Durán, Robert Hanes, Toril Holien, Jorrit Enserink, Jennifer R Brown, Geir E Tjønnfjord, Kjetil Taskén and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Functional Testing to Characterize and Stratify PI3K Inhibitor Responses in Chronic Lymphocytic Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  10. 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

11 authors at 3 institutions in 2 countries.

Katrine MelvoldDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Norway.
Mariaserena GilibertoDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Norway.
Linda KarlsenDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Norway.
Pilar Ayuda-DuránFaculty of Medicine, Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, University of Oslo, Norway.ORCID 0000-0002-9799-3680
Robert HanesFaculty of Medicine, Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, University of Oslo, Norway.
Toril HolienDepartment of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-2051-5824
Jorrit EnserinkFaculty of Medicine, Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, University of Oslo, Norway.
Jennifer R BrownDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Geir E TjønnfjordK. G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Norway.
Kjetil TaskénDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Norway.ORCID 0000-0003-2841-4697
Sigrid S SkånlandDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Norway.ORCID 0000-0003-1630-356X
Oslo University Hospital · NOHarvard University · USNorwegian University of Science and Technology · NO

Funding

Unlocking the Potential of PI3K Inhibition in CLLR01CA213442 · NCI · DANA-FARBER CANCER INST · PI BROWN, JENNIFER R · 2017 to 2021
$2.9M
NCI NIH HHS R01 CA213442
6 · The paper itself

Abstract

Most patients with chronic lymphocytic leukemia (CLL) initially respond to targeted therapies, but eventually relapse and develop resistance. Novel treatment strategies are therefore needed to improve patient outcomes. Here, we performed direct drug testing on primary CLL cells and identified synergy between eight different mitogen-activated protein kinase kinase (MEK) inhibitors and the B-cell lymphoma 2 (Bcl-2) antagonist venetoclax. Drug sensitivity was independent of immunoglobulin heavy-chain gene variable region (IGVH) and tumor protein p53 (TP53) mutational status, and CLL cells from idelalisib-resistant patients remained sensitive to the treatment. This suggests that combined MEK/Bcl-2 inhibition may be an option for high-risk CLL. To test whether sensitivity could be detected in other B-cell malignancies, we performed drug testing on cell line models of CLL (n = 4), multiple myeloma (MM; n = 8), and mantle cell lymphoma (MCL; n = 7). Like CLL, MM cells were sensitive to the MEK inhibitor trametinib, and synergy was observed with venetoclax. In contrast, MCL cells were unresponsive to MEK inhibition. To investigate the underlying mechanisms of the disease-specific drug sensitivities, we performed flow cytometry-based high-throughput profiling of 31 signaling proteins and regulators of apoptosis in the 19 cell lines. We found that high expression of the antiapoptotic proteins myeloid cell leukemia-1 (Mcl-1) or B-cell lymphoma-extra large (Bcl-xL) predicted low sensitivity to trametinib + venetoclax. The low sensitivity could be overcome by combined treatment with an Mcl-1 or Bcl-xL inhibitor. Our findings suggest that MEK/Bcl-2 inhibition has therapeutic potential in leukemia and myeloma, and demonstrate that protein expression levels can serve as predictive biomarkers for treatment sensitivities.

Indexed as

LeukemiaLeukemia, Lymphocytic, Chronic, B-CellLymphoma, B-CellMultiple MyelomaAdultApoptosisCell Line, TumorHumansProto-Oncogene Proteins c-bcl-2Proto-Oncogene Proteins c-bcl-2cell signalingchronic lymphocytic leukemiadrug sensitivitymantle cell lymphomaMEK inhibitorsmultiple myelomaphospho flowsynergyvenetoclax

Identifiers

PMID34861096
PMCPMC8895453
OpenAlexW3216515759

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.