Evidence map›Paper›PMID 36175852›Full record

ArticleBMC cancer2022

Three-dimensional nuclear telomere architecture and differential expression of aurora kinase genes in chronic myeloid leukemia to measure cell transformation.

Fábio Morato de Oliveira, Valderez Ravaglio Jamur, Lismeri Wuicik Merfort, Aline Rangel Pozzo, Sabine Mai

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Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 10 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

5 authors at 3 institutions in 2 countries.

Fábio Morato de OliveiraLaboratory of Medical Genetics, Câmpus Jatobá - Cidade Universitária, Federal University of Jataí, BR 364, km 195, n° 3800, Jataí, CEP 75801-615, Brazil. fabiomorato@ufj.edu.br.ORCID http://orcid.org/0000-0003-4167-627X
Valderez Ravaglio JamurComplexo Hospital das Clínicas, Universidade Federal do Paraná, Curitiba, Paraná, 80060-240, Brazil.
Lismeri Wuicik MerfortComplexo Hospital das Clínicas, Universidade Federal do Paraná, Curitiba, Paraná, 80060-240, Brazil.
Aline Rangel PozzoResearch Institute in Oncology and Hematology CancerCare Manitoba, The Genomic Centre for Cancer Research and Diagnosis, The University of Manitoba, Winnipeg, MB, R3E 0V9, Canada.
Sabine MaiResearch Institute in Oncology and Hematology CancerCare Manitoba, The Genomic Centre for Cancer Research and Diagnosis, The University of Manitoba, Winnipeg, MB, R3E 0V9, Canada. sabine.mai@umanitoba.ca.
CancerCare Manitoba · CAHospital de Clínicas Universidade Federal do Paraná · BRUniversidade Federal de Jataí · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelomere dysfunction results in aneuploidy, and ongoing chromosomal abnormalities. The three-dimensional (3D) nuclear organization of telomeres allows for a distinction between normal and tumor cells. On the other hand, aurora kinase genes (AURKA and AURKB) play an important role regulating the cell cycle. A correlation between overexpression of aurora kinase genes and clinical aggressiveness has been demonstrated in different types of neoplasias. To better understand cellular and molecular mechanisms of CML evolution, it was examined telomere dysfunction (alterations in the 3D nuclear telomere architecture), and the expression levels of AURKA and AURKB genes in two clinical distinct subgroups of CML samples, from the same patient.

methodsEighteen CML patients, in total, 36 bone marrow samples (18 patients, chronic vs. accelerated/blast phase) were eligible for 3D telomeric investigations. Quantitative 3D imaging, cytologic diagnosis and cytogenetic determination of additional chromosomal abnormalities were assessed according to standard protocols.

resultsUsing TeloView software, two CML subgroups were defined based on their 3D telomeric profiles, reflecting the different stages of the disease (chronic vs. accelerated/blast phase). Statistical analyses showed significant differences between the CML subgroups (p < 0.001). We also found that AURKA and AURKB mRNA were expressed at significantly higher levels in both CML subgroups, when compared with healthy donors. Our findings suggest that the evolution of CML progresses from a low to a high level of telomere dysfunction, that is, from an early stage to a more aggressive stage, followed by disease transformation, as demonstrated by telomere, additional chromosomal abnormalities, and gene expression profile dynamics.

conclusionsThus, we demonstrated that 3D telomere organization, in accordance with the genomic instability observed in CML samples were able to distinguish subgroup CML patients. Classifying CML patients based on these characteristics might represent an important strategy to define better therapeutic strategies.

Indexed as

Graft vs Host DiseaseLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, MyeloidAurora Kinase ABlast CrisisChromosome AberrationsHumansRNA, MessengerTelomereAurora Kinase ARNA, MessengerCMLGenomic instabilityNuclear architectureTelomere

Identifiers

PMID36175852
PMCPMC9520804
OpenAlexW4297536586

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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.