Evidence map›Paper›PMID 36770876›Full record

ArticleMolecules (Basel, Switzerland)2023

Alvespimycin Inhibits Heat Shock Protein 90 and Overcomes Imatinib Resistance in Chronic Myeloid Leukemia Cell Lines.

Raquel Alves, Diogo Santos, Joana Jorge, Ana Cristina Gonçalves, Steve Catarino, Henrique Girão, Joana Barbosa Melo, Ana Bela Sarmento-Ribeiro

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 12 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

8 authors at 3 institutions in 1 country.

Raquel AlvesLaboratory of Oncobiology and Hematology (LOH), University Clinics of Hematology and Oncology, Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0003-2599-6433
Diogo SantosLaboratory of Oncobiology and Hematology (LOH), University Clinics of Hematology and Oncology, Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, 3000-548 Coimbra, Portugal.
Joana JorgeLaboratory of Oncobiology and Hematology (LOH), University Clinics of Hematology and Oncology, Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0003-0755-8077
Ana Cristina GonçalvesLaboratory of Oncobiology and Hematology (LOH), University Clinics of Hematology and Oncology, Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0003-1470-4802
Steve CatarinoCoimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine (FMUC), University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0001-9644-6960
Henrique GirãoCoimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine (FMUC), University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0002-5786-8447
Joana Barbosa MeloCoimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine (FMUC), University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0001-5049-2670
Ana Bela Sarmento-RibeiroLaboratory of Oncobiology and Hematology (LOH), University Clinics of Hematology and Oncology, Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0002-4142-4841
Institute for Biotechnology and Bioengineering · PTHospitais da Universidade de Coimbra · PTUniversity of Coimbra · PT

Funding

CIMAGO - Center of Investigation on Environment, Genetics and Oncobiology 18/12Fundação para a Ciência e Tecnologia PhD grants (SFRH/BD/51994/2012 and SFRH/BD/145531/2019)Fundação para a Ciência e Tecnologia UID/NEU/04539/2013 and UID/NEU/04539/2019) and COMPETE-FEDER (PO-CI-01-0145-FEDER-007440)
6 · The paper itself

Abstract

Heat shock protein 90 (HSP90) facilitates folding and stability and prevents the degradation of multiple client proteins. One of these HSP90 clients is BCR-ABL, the oncoprotein characteristic of chronic myeloid leukemia (CML) and the target of tyrosine kinase inhibitors, such as imatinib. Alvespimycin is an HSP90 inhibitor with better pharmacokinetic properties and fewer side effects than other similar drugs, but its role in overcoming imatinib resistance is not yet clarified. This work studied the therapeutic potential of alvespimycin in imatinib-sensitive (K562) and imatinib-resistant (K562-RC and K562-RD) CML cell lines. Metabolic activity was determined by the resazurin assay. Cell death, caspase activity, mitochondrial membrane potential, and cell cycle were evaluated by means of flow cytometry. Cell death was also analyzed by optical microscopy. HSPs expression levels were assessed by western blotting. Alvespimycin reduced metabolic activity in a time-, dose-, and cell line-dependent manner. Resistant cells were more sensitive to alvespimycin with an IC

Indexed as

Antineoplastic AgentsLeukemia, Myelogenous, Chronic, BCR-ABL PositiveApoptosisBenzoquinonesCell Line, TumorDrug Resistance, NeoplasmFusion Proteins, bcr-ablHeat-Shock ProteinsHSP90 Heat-Shock ProteinsHumansImatinib MesylateK562 CellsLactams, Macrocyclic17-(dimethylaminoethylamino)-17-demethoxygeldanamycinAntineoplastic AgentsBenzoquinonesFusion Proteins, bcr-ablHeat-Shock ProteinsHSP90 Heat-Shock ProteinsImatinib MesylateLactams, Macrocyclicchronic myeloid leukemiaheat shock proteinimatinib resistance

Identifiers

PMID36770876
PMCPMC9920317
OpenAlexW4318200331

What Socratic 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 Socratic graph.