Monika Drastíková
Charles University in Prague
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Featured researches published by Monika Drastíková.
Acta Medica (Hradec Kralove, Czech Republic) | 2016
Martin Beranek; Igor Sirák; Milan Vošmik; Jiří Petera; Monika Drastíková; Vladimir Palicka
The aims of the study were: i) to compare circulating tumor DNA (ctDNA) yields obtained by different manual extraction procedures, ii) to evaluate the addition of various carrier molecules into the plasma to improve ctDNA extraction recovery, and iii) to use next generation sequencing (NGS) technology to analyze KRAS, BRAF, and NRAS somatic mutations in ctDNA from patients with metastatic colorectal cancer. Venous blood was obtained from patients who suffered from metastatic colorectal carcinoma. For plasma ctDNA extraction, the following carriers were tested: carrier RNA, polyadenylic acid, glycogen, linear acrylamide, yeast tRNA, salmon sperm DNA, and herring sperm DNA. Each extract was characterized by quantitative real-time PCR and next generation sequencing. The addition of polyadenylic acid had a significant positive effect on the amount of ctDNA eluted. The sequencing data revealed five cases of ctDNA mutated in KRAS and one patient with a BRAF mutation. An agreement of 86% was found between tumor tissues and ctDNA. Testing somatic mutations in ctDNA seems to be a promising tool to monitor dynamically changing genotypes of tumor cells circulating in the body. The optimized process of ctDNA extraction should help to obtain more reliable sequencing data in patients with metastatic colorectal cancer.
Neoplasma | 2014
Simona Paulíková; Jiří Petera; Igor Sirák; Milan Vošmik; Monika Drastíková; Ladislav Dušek; Michaela Cvanová; Renata Soumarová; Jiří Špaček; Martin Beranek
The purpose of our study was to evaluate a possible correlation between genetic polymorphisms in ATM and TGFB1 genes and late toxicity of chemoradiotherapy for locally advanced cervical cancer. Fifty five patients with FIGO stage IIB and higher without a disease recurrence with a mean follow up of 6 years were included. Late toxicity was assessed by EORTC/RTOG late toxicity criteria. Univariate and multivariate logistic regression model was used for statistical analysis. Degree of association between polymorphisms and late toxicity of chemotherapy was assessed on the basis of phi-coefficient (φ) as well. We did not find any association between 5557G>A polymorphism in the ATM gene or single TGFB1 polymorphisms and late toxicity. TGFB1 compound homozygosity (-1552delAGG, -509C>T, L10P) was a significant predictive factor of grade III-IV and any grade of complications in both univariate and multivariate logistic regression analyses and statistical significance of association between polymorphisms and late toxicity of chemoradiotherapy was confirmed also by the evaluation of phi-coefficient (φ). We conclude that haplotypes instead of single nucleotide polymorphic sites in the genes may better characterize the individual radiosensitivity. Keywords: cervical cancer, radiotherapy, ATM, TGFB1, late toxicity.
Acta Medica (Hradec Kralove, Czech Republic) | 2011
Martin Beranek; Monika Drastíková; Simona Paulíková; Igor Sirák; Milan Vošmik; Jiří Petera
UNLABELLED Clinical oncologists have been focusing their efforts on attempting to define risk groups of patients with unusual biological reactions to the recommended therapy regimens using molecular biology techniques. THE AIMS OF OUR STUDY WERE (i) to find a design and validate a method for fast and reliable analysis of the D1853N (5557G>A) genetic polymorphism in the ATM (ataxia-telangiectasia mutated) gene; (ii) to use side-directed mutagenesis to generate ATM 5557A-positive DNA (reference ATM5557A DNA); and (iii) to analyze a group of patients suffering from cervical carcinoma with adverse responses to radiotherapy. The 5557A variant was found in three of twenty women (15%). Our data show that the prevalence of the 5557A allelic variant in cervical cancer subjects with adverse responses after irradiation probably does not differ from the prevalence common in Caucasians. A larger population study should confirm these preliminary results.
Biomedical Papers-olomouc | 2016
Monika Drastíková; Martin Beranek; Filip Gabalec; David Netuka; Vaclav Masopust; Tomáš Česák; Josef Marek; Vladimir Palicka; Jan Cap
AIMS Pituitary adenomas (PA) are non-invasive benign tumors with a high autopsy prevalence. They are classified according to the type of hormone secreted (prolactin, growth hormone, adrenocorticotropin, thyrotropin, folitropin, or luteinizing hormone). Clinically non-functioning adenomas (CNFA) lacking the typical hypersecretion of hormones make up a significant portion of PA. The aim of the study was to determine the complete expression profiles of somatostatin receptors (SSTR1-SSTR5), dopamine receptors type 2 (D2R), and estrogen receptors (ER1) in various types of PA. METHODS Adenoma specimens were obtained from 206 patients during transsphenoidal resection. For quantitative analysis, reverse transcription and consequent real-time PCR with synthetic multilocus calibrators (SMC) were used. The obtained data were normalized to the number of transcripts of the beta-glucuronidase gene. RESULTS The use of SMC enabled the alignment of individual calibration functions for all the receptors. No relationships between the expression of the receptors and the tumor size, site of extension, gender or age at diagnosis were significant. In growth hormone-secreting adenomas, D2R and SSTR2 transcripts were extensively expressed, followed by ER1, SSTR5, SSTR3, and SSTR1. In patients with macroprolactinomas, transsphenoidal resection was indicated because dopamine agonists did not normalize prolactin levels. D2R, ER1 and SSTR1 transcripts were significantly transcribed. Corticotroph adenomas showed high levels of D2R and ER1 transcripts and lower amounts of SSTR2 and SSTR1 transcripts. SSTR5 transcripts were very low. Subjects with CNFA dominantly expressed D2R and ER1, followed by SSTR2 and SSTR3 mRNA. CONCLUSION We evaluated SSTR1-SSTR5, D2R, and ER1 expressions in a large group of pituitary adenomas and we found that determining their individual expression profiles could help when choosing the optimal postoperative treatment.
Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia | 2014
Martin Beranek; Monika Drastíková; Petr Dulíček; Vladimir Palicka
AIMS The aim of our study is to present a novel approach for preparing a compound heterozygous reference material (hetRM) using gene synthesis technology with inverted insertion of wild-type and mutant fragments into a single cloning vector. Factor II (G20210A) and Factor V (G1691A Leiden) gene mutations were used as an experimental model. METHODS During the gene synthesis, DNA fragments were aligned in the following order: G1691 FV wild-type forward strain, G20210 FII wild-type forward strain, 1691A FV mutant reverse strain, 20210A FII mutant reverse strain. The complete chain was inserted into a pIDT SMART cloning vector and amplified in an E. coli competent strain. For assessing hetRM characteristics and commutability, we used real-time PCR with subsequent melting curve analysis, real-time PCR with hydrolysis probes, allele-specific amplification, reverse hybridization, and dideoxynucleotide DNA sequencing. RESULT All five methods yielded concordant results of DNA analysis of the hetRM. Differences in real-time PCR cycle threshold values after six-months of storage at -80 °C were not statistically significant from those obtained from freshly prepared hetRM aliquots, which is a good indication of their stability. CONCLUSION By applying the procedures of gene synthesis and cloning technology, we prepared and verified a model genetic reference material for FII G20210A and FV G1691A testing with a compound heterozygous genotype. The hetRM was stable, commutable, and available in large quantities and in a wide concentration range.
Pathology & Oncology Research | 2014
Milan Vošmik; Jan Laco; Igor Sirák; Martin Beranek; Eva Hovorková; Hana Vošmiková; Monika Drastíková; Miroslav Hodek; Zdenek Zoul; Karel Odrazka; Jiri Petera
Neoplasma | 2011
Jiří Petera; Igor Sirák; Martin Beranek; Milan Vošmik; Monika Drastíková; Simona Paulíková; Renata Soumarová
Physiological Research | 2015
Filip Gabalec; Monika Drastíková; Tomáš Česák; David Netuka; Masopust; Machac J; Josef Marek; Jan Cap; Martin Beranek
15th European Congress of Endocrinology | 2013
Filip Gabalec; Aleš Kohout; Jan Laco; Monika Drastíková; Martin Beranek; David Netuka; Vaclav Masopust; Tomáš Česák; Jan Cap
Acta Medica (Hradec Kralove, Czech Republic) | 2012
Martin Beranek; Monika Drastíková; Jiří Petera