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1.
Cells ; 12(7)2023 03 28.
Article in English | MEDLINE | ID: mdl-37048102

ABSTRACT

BACKGROUND: The KIAA1524 gene encodes an oncoprotein, CIP2A, which inhibits the phosphorylation of the Akt kinase B, stabilizes the c-Myc protein, and, through that, promotes cancerogenesis. An increase in CIP2A expression has been observed in numerous solid tumors and hematologic malignancies, including multiple myeloma (MM). The aim of our study was to evaluate the clinical impact of the functional single nucleotide polymorphisms (SNP) of the KIAA1524 gene (rs2278911, 686C > T) in MM patients. METHODS: The study group consisted of 128 patients with de novo MM. EDTA venous blood samples were collected prior to the treatment. The SNPs were analyzed by Real-Time PCR with the use of specific Taqman probes. RESULTS: Multivariable analysis revealed that variables independently associated with shorter progression-free survival (PFS) included thrombocytopenia, delTP53 and IGH/CCND1 translocation and the TT genotype of the KIAA1524 gene (686C > T) (median PFS: 6 vs. 25 months; HR = 7.18). On the other hand, autologous haematopoietic stem cell transplantation (AHSCT) was related to a lower risk of early disease progression. Moreover, light chain disease, International Staging System (ISS) 3, poor performance status, hypoalbuminemia, IGH/FGFR3 translocation and the TT genotype of the KIAA1524 gene (686C > T) were independent prognostic factors associated with shorter overall survival (OS) (median OS: 8 vs. 45 months; HR = 7.08). CONCLUSION: The evaluation of the SNP 686C > T of the KIAA1524 gene could be used as a diagnostic tool in MM patients at risk of early disease progression and death.


Subject(s)
Hematopoietic Stem Cell Transplantation , Multiple Myeloma , Humans , Disease Progression , Disease-Free Survival , Genotype , Multiple Myeloma/diagnosis , Multiple Myeloma/genetics , Multiple Myeloma/therapy
2.
Cancers (Basel) ; 13(23)2021 Dec 06.
Article in English | MEDLINE | ID: mdl-34885248

ABSTRACT

Background: Lung cancer is the leading cause of cancer-related deaths. Early diagnosis may improve the prognosis. Methods: Using quantitative methylation-specific real-time PCR (qMSP-PCR), we assessed the methylation status of two genes (in two subsequent regions according to locations in their promoter sequences) related to carcinogenesis, DICER and DROSHA, in 101 plasma samples (obtained prior to the treatment) of lung cancer patients and 45 healthy volunteers. Results: The relative level of methylation of DROSHA was significantly lower (p = 0.012 for first and p < 0.00001 for the second region) and DICER significantly higher (p = 0.029 for the first region) in cancer patients. The relative level of methylation of DROSHA was significantly (p = 0.037) higher in patients with early-stage NSCLC (IA-IIIA) and could discriminate them from healthy people with a sensitivity of 71% and specificity of 76% (AUC = 0.696, 95% CI: 0.545-0.847, p = 0.011) for the first region and with a sensitivity of 60% and specificity of 85% (AUC = 0.795, 95% CI: 0.689-0.901, p < 0.0001) for the second region. Methylation analysis of the first region of the DICER enabled the distinction of NSCLC patients from healthy individuals with a sensitivity of 96% and specificity of 60% (AUC = 0.651, 95% CI: 0.517-0.785, p = 0.027). The limitations of the study include its small sample size, preliminary nature, being an observational type of study, and the lack of functional experiments allowing for the explanation of the biologic backgrounds of the observed associations. Conclusion: The obtained results indicate that the assessment of DICER and DROSHA methylation status can potentially be used as a biomarker for the early detection of lung cancer.

3.
Forensic Sci Int ; 139(1): 89-92, 2004 Jan 06.
Article in English | MEDLINE | ID: mdl-14687780

ABSTRACT

Allele frequencies for the 19 STRs loci, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D21S11, CSF1PO, F13A01, F13B, FESFPS, FGA, LPL, Penta D, Penta E, TH01, TPOX and VWA were obtained from a sample of 203-1188 unrelated individuals living in the area of south-east Poland.


Subject(s)
Gene Frequency , Genetics, Population , Tandem Repeat Sequences , DNA Fingerprinting/methods , Humans , Poland , Polymerase Chain Reaction
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