Scientific comment on tumor suppressor p53 protein expression: prognostic significance in patients with low-risk myelodysplastic syndrome

Velloso, Elvira Deolinda Rodrigues Pereira

doi:10.1016/j.bjhh.2014.03.009

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…In MDS, the most commonly found mutations affect ribonucleic acid (RNA) splicing (SF3B1, SRSF2, ZRSR2, U2AF1/2), deoxyribonucleic acid (DNA) methylation (TET2, DNMT3A, IDH1/2), chromatin modification (ASXL1, EZH2) (1,2,7) and the p53 gene. (8,9) Distinguishing cytopenia related to MDS or nonclonal disease is a complex challenge. Myelodysplastic syndromes diagnosis requires a combination of several methods.…”

Section: ❚ Resumomentioning

confidence: 99%

Myelodysplastic syndrome: validation of flow cytometry multilineage score system

Araújo¹,

Correia

Bento

et al. 2020

Einstein (São Paulo)

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Objective: To validate multilineage score system correlating results of flow cytometry, cytogenetics, cytomorphology and histology from samples of patients with suspected myelodysplastic syndrome or cytopenia of unknown origin. Methods: A retrospective study analyzing laboratory data of 49 patients with suspected myelodysplastic syndrome or cytopenia of unknown origin, carried out between May and September 2017. The inclusion criteria were availability of flow cytometry results, and at least one more method, such as morphology, histology or cytogenetics. Thirtyeight patients were classified as diagnosis of myelodysplastic syndromes, whereas 11 were classified as normal. Patients were evaluated based on score systems, Ogata score and flow cytometry multilineage score. Results: Comparing the scores obtained in the Ogata score and the multilineage score, it was observed that in four cases the Ogata score was zero or 1 point, while the multilineage score was higher than 3 points. In addition, in 12 cases with Ogata score of 2, the multilineage score was greater than 3. Conclusion: The flow cytometry multilineage score system demonstrated to be more effective in dysplasia analysis, by assessing the erythroid, monocytic, granulocytic and precursor cell lineages, apart from the parameters evaluated by the Ogata score.

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Section: ❚ Resumomentioning

confidence: 99%