Evidence map›Paper›PMID 31883527›Full record

ArticleBMC cancer2019

Bag-1 stimulates Bad phosphorylation through activation of Akt and Raf kinases to mediate cell survival in breast cancer.

Tugba Kizilboga, Emine Arzu Baskale, Jale Yildiz, Izzet Mehmet Akcay, Ebru Zemheri, Nisan Denizce Can, Can Ozden, Salih Demir, Fikret Ezberci, Gizem Dinler-Doganay

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

29 citing papers in PubMed, 34 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

10 authors at 2 institutions in 1 country.

Tugba KizilbogaDepartment of Molecular Biology and Genetics, Istanbul Technical University, 34469, Istanbul, Turkey.
Emine Arzu BaskaleDepartment of Molecular Biology and Genetics, Istanbul Technical University, 34469, Istanbul, Turkey.
Jale YildizDepartment of Molecular Biology and Genetics, Istanbul Technical University, 34469, Istanbul, Turkey.
Izzet Mehmet AkcayDepartment of Molecular Biology and Genetics, Istanbul Technical University, 34469, Istanbul, Turkey.
Ebru ZemheriDepartment of Pathology, Umraniye Teaching and Research Hospital, 34764, Istanbul, Turkey.
Nisan Denizce CanDepartment of Molecular Biology and Genetics, Istanbul Technical University, 34469, Istanbul, Turkey.
Can OzdenDepartment of Molecular Biology and Genetics, Istanbul Technical University, 34469, Istanbul, Turkey.
Salih DemirDepartment of Molecular Biology and Genetics, Istanbul Technical University, 34469, Istanbul, Turkey.
Fikret EzberciDepartment of General Surgery, Umraniye Teaching and Research Hospital, 34764, Istanbul, Turkey.
Gizem Dinler-DoganayDepartment of Molecular Biology and Genetics, Istanbul Technical University, 34469, Istanbul, Turkey. gddoganay@itu.edu.tr.ORCID http://orcid.org/0000-0002-3586-1287
Istanbul Technical University · TRÜmraniye Eğitim ve Araştırma Hastanesi · TR

Funding

Istanbul Teknik Üniversitesi 36404Istanbul Teknik Üniversitesi 38329
6 · The paper itself

Abstract

backgroundBag-1 (Bcl-2-associated athanogene) is a multifunctional anti-apoptotic protein frequently overexpressed in cancer. Bag-1 interacts with a variety of cellular targets including Hsp70/Hsc70 chaperones, Bcl-2, nuclear hormone receptors, Akt and Raf kinases. In this study, we investigated in detail the effects of Bag-1 on major cell survival pathways associated with breast cancer.

methodsUsing immunoblot analysis, we examined Bag-1 expression profiles in tumor and normal tissues of breast cancer patients with different receptor status. We investigated the effects of Bag-1 on cell proliferation, apoptosis, Akt and Raf kinase pathways, and Bad phosphorylation by implementing ectopic expression or knockdown of Bag-1 in MCF-7, BT-474, MDA-MB-231 and MCF-10A breast cell lines. We also tested these in tumor and normal tissues from breast cancer patients. We investigated the interactions between Bag-1, Akt and Raf kinases in cell lines and tumor tissues by co-immunoprecipitation, and their subcellular localization by immunocytochemistry and immunohistochemistry.

resultsWe observed that Bag-1 is overexpressed in breast tumors in all molecular subtypes, i.e., regardless of their ER, PR and Her2 expression profile. Ectopic expression of Bag-1 in breast cancer cell lines results in the activation of B-Raf, C-Raf and Akt kinases, which are also upregulated in breast tumors. Bag-1 forms complexes with B-Raf, C-Raf and Akt in breast cancer cells, enhancing their phosphorylation and activation, and ultimately leading to phosphorylation of the pro-apoptotic Bad protein at Ser112 and Ser136. This causes Bad's re-localization to the nucleus, and inhibits apoptosis in favor of cell survival.

conclusionsOverall, Bad inhibition by Bag-1 through activation of Raf and Akt kinases is an effective survival and growth strategy exploited by breast cancer cells. Therefore, targeting the molecular interactions between Bag-1 and these kinases might prove an effective anticancer therapy.

Indexed as

ApoptosisSignal Transductionbcl-Associated Death ProteinBreast NeoplasmsCell Line, TumorCell ProliferationCell SurvivalDNA-Binding ProteinsFemaleGene Expression Regulation, NeoplasticHumansMiddle AgedPhosphorylationProtein Processing, Post-TranslationalProto-Oncogene Proteins c-aktraf KinasesBAD protein, humanBCL2-associated athanogene 1 proteinbcl-Associated Death ProteinDNA-Binding ProteinsProto-Oncogene Proteins c-aktraf KinasesTranscription FactorsAktApoptosisBad phosphorylationBag-1Breast cancerCell survivalRaf kinase

Identifiers

PMID31883527
PMCPMC6935482
OpenAlexW2997668632

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.