Genetic Instability in Normal-Appearing and Tumor Urothelium Cells and the Role of the TP53 Gene in the Toxicogenomic Effects of Antineoplastic Drugs

Salvadori, Daisy Maria Fávero; Silva, Glenda Nicioli da

doi:10.5772/53502

Cited by 1 publication

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“…The expression of P53 gene is associated with the cell cycle of myeloblasts and the cellular internal and external messages in acute myeloid leukemia (AML) [14]. As well as cytogenetic instability and mutation in proto-oncogenes due to chemical toxic materials [15,16] which can affect P53 expression [17]. It has been thought that the percentage of lymphoblasts is linked with the status of the cell cycle in ALL patients.…”

Section: Discussionmentioning

confidence: 99%

The Expression of P53, MDM2, c-myc, and P14ARF Genes in Newly Diagnosed Acute Lymphoblastic Leukemia Patients

Farsani

Rafiee

Nezhad

et al. 2019

Indian J Hematol Blood Transfus

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The treatment response of acute lymphoblastic leukemia (ALL) depends on the percentage of lymphoblasts, cytogenetic aberrations, and altered gene expression. The analysis of the gene expression is applicable for determination of risk stratification and prognosis of cancers. c-MYC, P14 ARF , MDM2, and P53 play a vital role in cell survival through a functional network. This study aimed to investigate the expression of these genes, also their correlation with immunophenotypic subtypes of ALL and the percentage of blasts. Real-time PCR was performed for the expression analysis of P53, MDM2, c-MYC, and P14 ARF in the bone marrow or peripheral blood samples of 52 ALL patients and 13 normal samples as controls. The morphological analysis and flow cytometry were carried out to examine the phenotypes and percentage of lymphoblasts. The decreased expression levels of P53 and MDM2 were seen in ALL patients compared with control group. In T cell subgroup of ALL the expression of P14 ARF gene was more decreased among other subgroups. The expression of MDM2 was decreased in ALL patients who were under the age of 16. Based on our study, the interaction between P53 and MDM2 might be more complex and different from reports published in previous studies. Our findings showed that MDM2 is not negatively correlated with P53, at least in our samples. It can be very effective on the current and future studies to use different techniques for analysis of genome, transcriptome, and proteome in definitive risk stratification and prognosis determination.

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Section: Discussionmentioning

confidence: 99%