Evidence map›Paper›PMID 25289887›Full record

ArticlePloS one2014

MCL1 and BCL-xL levels in solid tumors are predictive of dinaciclib-induced apoptosis.

Robert N Booher, Harold Hatch, Brian M Dolinski, Thi Nguyen, Lauren Harmonay, Ali-Samer Al-Assaad, Mark Ayers, Michael Nebozhyn, Andrey Loboda, Heather A Hirsch and 20 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 53 citations in OpenAlex.

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  6. CDK9 inhibitors in multiple myeloma: a review of progress and perspectives.Medical oncology (Northwood, London, England) · 2022
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  18. Bcl-xScientific reports · 2019
    Article
  19. Article
  20. Article
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

30 authors at 2 institutions in 1 country.

Robert N BooherDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Harold HatchDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Brian M DolinskiDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Thi NguyenDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Lauren HarmonayDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Ali-Samer Al-AssaadDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Mark AyersBioInformatics, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Michael NebozhynBioInformatics, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Andrey LobodaBioInformatics, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Heather A HirschBioInformatics, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Theresa ZhangBioInformatics, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Bin ShiIn vivo Pharmacology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Carrie E MerkelIn vivo Pharmacology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Minilik H AngagawIn vivo Pharmacology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Yaolin WangIn vivo Pharmacology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Brian J LongIn vivo Pharmacology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Xianlu Q LennonBiomarkers, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Nathan MiselisBiomarkers, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Vincenzo PucciPharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck Research Laboratories, Boston, Massachusetts, United States of America.
James W MonahanPharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Junghoon LeeQuantitative Pharmacology and Pharmacometrics, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Anna Georgieva KondicQuantitative Pharmacology and Pharmacometrics, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Eun Kyung ImClinical Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
David MauroClinical Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Rebecca BlanchardClinical Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Gary GillilandClinical Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Stephen E FawellDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Leigh ZawelDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Alwin G SchullerIn vivo Pharmacology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Peter StrackDiscovery Oncology, Merck Research Laboratories, Boston, Massachusetts, United States of America.
Merck & Co., Inc., Rahway, NJ, USA (United States) · USQuantitative BioSciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dinaciclib is a potent CDK1, 2, 5 and 9 inhibitor being developed for the treatment of cancer. Additional understanding of antitumor mechanisms and identification of predictive biomarkers are important for its clinical development. Here we demonstrate that while dinaciclib can effectively block cell cycle progression, in vitro and in vivo studies, coupled with mouse and human pharmacokinetics, support a model whereby induction of apoptosis is a main mechanism of dinaciclib's antitumor effect and relevant to the clinical duration of exposure. This was further underscored by kinetics of dinaciclib-induced downregulation of the antiapoptotic BCL2 family member MCL1 and correlation of sensitivity with the MCL1-to-BCL-xL mRNA ratio or MCL1 amplification in solid tumor models in vitro and in vivo. This MCL1-dependent apoptotic mechanism was additionally supported by synergy with the BCL2, BCL-xL and BCL-w inhibitor navitoclax (ABT-263). These results provide the rationale for investigating MCL1 and BCL-xL as predictive biomarkers for dinaciclib antitumor response and testing combinations with BCL2 family member inhibitors.

Indexed as

Aniline CompoundsAnimalsAntineoplastic AgentsApoptosisbcl-X ProteinBridged Bicyclo Compounds, HeterocyclicCell Cycle CheckpointsCell Line, TumorCyclic N-OxidesDisease Models, AnimalDiterpenesDrug Resistance, NeoplasmDrug SynergismEpoxy CompoundsFemaleGene DosageAniline CompoundsAntineoplastic Agentsbcl-X ProteinBridged Bicyclo Compounds, HeterocyclicCyclic N-OxidesdinaciclibDiterpenesEpoxy CompoundsIndolizinesMCL1 protein, humanMyeloid Cell Leukemia Sequence 1 ProteinnavitoclaxPhenanthrenesPyridinium CompoundsRNA, MessengerSulfonamidestriptolide

Identifiers

PMID25289887
PMCPMC4188521
OpenAlexW1982820305

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.