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23 results on '"Świerniak, Michał"'

1. Clinical and functional significance of circular RNAs in cytogenetically normal AML

Author

Papaioannou, Dimitrios, Volinia, Stefano, Nicolet, Deedra, Świerniak, Michał, Petri, Andreas, Mrózek, Krzysztof, Bill, Marius, Pepe, Felice, Walker, Christopher J., Walker, Allison E., Carroll, Andrew J., Kohlschmidt, Jessica, Eisfeld, Ann-Kathrin, Powell, Bayard L., Uy, Geoffrey L., Kolitz, Jonathan E., Wang, Eunice S., Kauppinen, Sakari, Dorrance, Adrienne, Stone, Richard M., Byrd, John C., Bloomfield, Clara D., and Garzon, Ramiro

Published
2020
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2. Supplementary Table 1 Overall Mortality_legend from Association between GWAS-Derived rs966423 Genetic Variant and Overall Mortality in Patients with Differentiated Thyroid Cancer

Author

Świerniak, Michał, primary, Wójcicka, Anna, primary, Czetwertyńska, Małgorzata, primary, Długosińska, Joanna, primary, Stachlewska, Elżbieta, primary, Gierlikowski, Wojciech, primary, Kot, Adam, primary, Górnicka, Barbara, primary, Koperski, Łukasz, primary, Bogdańska, Magdalena, primary, Wiechno, Wiesław, primary, and Jażdżewski, Krystian, primary

Published
2023
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5. Compound Haplotype Variants in CFH and CD46 Genes Determine Clinical Outcome of Atypical Hemolytic Uremic Syndrome (aHUS)—A Series of Cases from a Single Family

Author

Furmańczyk-Zawiska, Agnieszka, primary, Kubiak-Dydo, Anna, additional, Użarowska-Gąska, Ewelina, additional, Kotlarek-Łysakowska, Marta, additional, Salata, Katarzyna, additional, Kolanowska, Monika, additional, Świerniak, Michał, additional, Gaj, Paweł, additional, Leszczyńska, Beata, additional, Daniel, Maria, additional, Jażdżewski, Krystian, additional, Durlik, Magdalena, additional, and Wójcicka, Anna, additional

Published
2021
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6. BMPR1B gene in brachydactyly type 2–A family with de novo R486W mutation and a disease phenotype

Author

Bednarek, Marcin, primary, Trybus, Marek, additional, Kolanowska, Monika, additional, Koziej, Mateusz, additional, Kiec‐Wilk, Beata, additional, Dobosz, Artur, additional, Kotlarek‐Łysakowska, Marta, additional, Kubiak‐Dydo, Anna, additional, Użarowska‐Gąska, Ewelina, additional, Staręga‐Rosłan, Julia, additional, Gaj, Paweł, additional, Górzyńska, Izabela, additional, Serwan, Katarzyna, additional, Świerniak, Michał, additional, Kot, Adam, additional, Jażdżewski, Krystian, additional, and Wójcicka, Anna, additional

Published
2021
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7. The rs2910164 Genetic Variant of miR-146a-3p Is Associated with Increased Overall Mortality in Patients with Follicular Variant Papillary Thyroid Carcinoma

Author

Kotlarek, Marta, primary, Kubiak, Anna, additional, Czetwertyńska, Małgorzata, additional, Świerniak, Michał, additional, Gierlikowski, Wojciech, additional, Kolanowska, Monika, additional, Bakuła-Zalewska, Elwira, additional, Jhiang, Sissy, additional, Jażdżewski, Krystian, additional, and Wójcicka, Anna, additional

Published
2018
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9. Meeting abstracts from the Annual Conference on Hereditary Cancers 2015

Author

Thompson, Ella R., primary, Wong-Brown, Michelle, additional, Rowley, Simone M., additional, Dooley, Susan, additional, Lil, Na, additional, Hipwell, Michael, additional, McInerny, Simone, additional, Meldrum, Cliff, additional, Devereux, Lisa, additional, Mossman, David, additional, Trainer, Alison H., additional, Millar, Briar-Rose, additional, Mitchell, Gillian, additional, Smith, Cate, additional, James, Paul A., additional, Campbell, Ian G., additional, Scott, Rodney J., additional, Klonowska, Katarzyna, additional, Jakubowska, Anna, additional, Maksimenko, Jelena, additional, Irmejs, Arvids, additional, Nakazawa-Miklasevica, Miki, additional, Melbarde-Gorkusa, Inga, additional, Trofimovics, Genadijs, additional, Gardovskis, Janis, additional, Miklasevics, Edvins, additional, Tęcza, Karolina, additional, Pamuła-Piłat, Jolanta, additional, Łanuszewska, Joanna, additional, Grzybowska, Ewa, additional, Szwiec, M., additional, Tomiczek-Szwiec, J., additional, Gełej, M., additional, Cybulski, C., additional, Huzarski, T., additional, Kilar, E., additional, Oczko-Wojciechowska, Małgorzata, additional, Świerniak, Michał, additional, Krajewska, Jolanta, additional, Kowalska, Małgorzata, additional, Tyszkiewicz, Tomasz, additional, Pawlaczek, Agnieszka, additional, Jarząb, Michał, additional, Kowal, Monika, additional, Rusinek, Dagmara, additional, Zebracka-Gala, Jadwiga, additional, Czarniecka, Agnieszka, additional, Jarzab, Barbara, additional, Plawski, Andrzej, additional, Borun, Paweł, additional, Szczepinska, Joanna, additional, Siolek, Monika, additional, Kozak-Klonowska, Beata, additional, Kaczmarek, Katarzyna, additional, Muszyńska, Magdalena, additional, Marciniak, Wojciech, additional, Sukiennicki, Grzegorz, additional, Lener, Marcin, additional, Durda, Katarzyna, additional, Jaworska-Bieniek, Katarzyna, additional, Gromowski, Tomasz, additional, Huzarski, Tomasz, additional, Byrski, Tomasz, additional, Gronwald, Jacek, additional, Oszurek, Oleg, additional, Cybulski, Cezary, additional, Dębniak, Tadeusz, additional, Morawski, Antoni, additional, Lubiński, Jan, additional, and Post, Michał, additional

Published
2017
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11. Wiek zachorowania i płeć jako czynniki modyfikujące związek polimorfizmów zlokalizowanych na chromosomie 9q22 i 14q13 z rakiem brodawkowatym tarczycy

Author

Kula, Dorota, primary, Kalemba, Michał, additional, Puch, Zbigniew, additional, Polańska, Joanna, additional, Świerniak, Michał, additional, Rusinek, Dagmara, additional, Żebracka-Gala, Jadwiga, additional, Kowalska, Małgorzata, additional, Handkiewicz-Junak, Daria, additional, Kowal, Monika, additional, Tyszkiewicz, Tomasz, additional, Piasna, Ewelina, additional, Czarniecka, Agnieszka, additional, Pawlaczek, Agnieszka, additional, Krajewska, Jolanta, additional, Szpak-Ulczok, Sylwia, additional, and Jarząb, Barbara, additional

Published
2017
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13. Association between GWAS-Derived rs966423 Genetic Variant and Overall Mortality in Patients with Differentiated Thyroid Cancer

Author

Świerniak, Michał, primary, Wójcicka, Anna, additional, Czetwertyńska, Małgorzata, additional, Długosińska, Joanna, additional, Stachlewska, Elżbieta, additional, Gierlikowski, Wojciech, additional, Kot, Adam, additional, Górnicka, Barbara, additional, Koperski, Łukasz, additional, Bogdańska, Magdalena, additional, Wiechno, Wiesław, additional, and Jażdżewski, Krystian, additional

Published
2016
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14. NGS Reveals Molecular Pathways Affected by Obesity and Weight Loss-Related Changes in miRNA Levels in Adipose Tissue.

Author

Kuryłowicz, Alina, Wicik, Zofia, Owczarz, Magdalena, Jonas, Marta Izabela, Kotlarek, Marta, Świerniak, Michał, Lisik, Wojciech, Jonas, Maurycy, Noszczyk, Bartłomiej, and Puzianowska-Kuźnicka, Monika

Subjects
ADIPOSE tissues, OBESITY, WEIGHT loss, MICRORNA, MITOCHONDRIAL RNA, BIOINFORMATICS
Abstract

Both obesity and weight loss may cause molecular changes in adipose tissue. This study aimed to characterize changes in adipose tissue miRNome in order to identify molecular pathways affected by obesity and weight changes. Next generation sequencing (NGS) was applied to identify microRNAs (miRNAs) differentially expressed in 47 samples of visceral (VAT) and subcutaneous (SAT) adipose tissues from normal-weight (N), obese (O) and obese after surgery-induced weight loss (PO) individuals. Subsequently miRNA expression was validated by real-time PCR in 197 adipose tissues and bioinformatics analysis performed to identify molecular pathways affected by obesity-related changes in miRNA expression. NGS identified 344 miRNAs expressed in adipose tissues with ≥5 reads per million. Using >2 and <-2 fold change as cut-offs we showed that the expression of 54 miRNAs differed significantly between VAT-O and SAT-O. Equally, between SAT-O and SAT-N, the expression of 20 miRNAs differed significantly, between SAT-PO and SAT-N the expression of 79 miRNAs differed significantly, and between SAT-PO and SAT-O, the expression of 61 miRNAs differed significantly. Ontological analyses disclosed several molecular pathways regulated by these miRNAs in adipose tissue. NGS-based miRNome analysis characterized changes of the miRNA profile of adipose tissue, which are associated with changes of weight possibly responsible for a differential regulation of molecular pathways in adipose tissue when the individual is obese and after the individual has lost weight. [ABSTRACT FROM AUTHOR]

Published
2018
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15. Analysis options for high-throughput sequencing in miRNA expression profiling

Author

Silesian University of Technology, Institute of Automatic Control, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Nuclear Medicine and Endocrine Oncology Department, Universität Leipzig, Medizinische Fakultät, Medical University of Warsaw, Department of General, Transplant, and Liver Surgery, BioMed Central, Stokowy, Tomasz, Eszlinger, Markus, Świerniak, Michał, Fujarewicz, Krzysztof, Jarząb, Barbara, Paschke, Ralf, Krohn, Kurt, Silesian University of Technology, Institute of Automatic Control, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Nuclear Medicine and Endocrine Oncology Department, Universität Leipzig, Medizinische Fakultät, Medical University of Warsaw, Department of General, Transplant, and Liver Surgery, BioMed Central, Stokowy, Tomasz, Eszlinger, Markus, Świerniak, Michał, Fujarewicz, Krzysztof, Jarząb, Barbara, Paschke, Ralf, and Krohn, Kurt

Abstract

Background: Recently high-throughput sequencing (HTS) using next generation sequencing techniques became useful in digital gene expression profiling. Our study introduces analysis options for HTS data based on mapping to miRBase or counting and grouping of identical sequence reads. Those approaches allow a hypothesis free detection of miRNA differential expression. Methods: We compare our results to microarray and qPCR data from one set of RNA samples. We use Illumina platforms for microarray analysis and miRNA sequencing of 20 samples from benign follicular thyroid adenoma and malignant follicular thyroid carcinoma. Furthermore, we use three strategies for HTS data analysis to evaluate miRNA biomarkers for malignant versus benign follicular thyroid tumors. Results: High correlation of qPCR and HTS data was observed for the proposed analysis methods. However, qPCR is limited in the differential detection of miRNA isoforms. Moreover, we illustrate a much broader dynamic range of HTS compared to microarrays for small RNA studies. Finally, our data confirm hsa-miR-197-3p, hsa-miR-221-3p, hsa-miR-222-3p and both hsa-miR-144-3p and hsa-miR-144-5p as potential follicular thyroid cancer biomarkers. Conclusions: Compared to microarrays HTS provides a global profile of miRNA expression with higher specificity and in more detail. Summarizing of HTS reads as isoform groups (analysis pipeline B) or according to functional criteria (seed analysis pipeline C), which better correlates to results of qPCR are promising new options for HTS analysis. Finally, data opens future miRNA research perspectives for HTS and indicates that qPCR might be limited in validating HTS data in detail.

Published
2014

16. Analysis options for high-throughput sequencing in miRNA expression profiling

Author

Stokowy, Tomasz, Eszlinger, Markus, Świerniak, Michał, Fujarewicz, Krzysztof, Jarząb, Barbara, Paschke, Ralf, Krohn, Kurt, Stokowy, Tomasz, Eszlinger, Markus, Świerniak, Michał, Fujarewicz, Krzysztof, Jarząb, Barbara, Paschke, Ralf, and Krohn, Kurt

Abstract

Background: Recently high-throughput sequencing (HTS) using next generation sequencing techniques became useful in digital gene expression profiling. Our study introduces analysis options for HTS data based on mapping to miRBase or counting and grouping of identical sequence reads. Those approaches allow a hypothesis free detection of miRNA differential expression. Methods: We compare our results to microarray and qPCR data from one set of RNA samples. We use Illumina platforms for microarray analysis and miRNA sequencing of 20 samples from benign follicular thyroid adenoma and malignant follicular thyroid carcinoma. Furthermore, we use three strategies for HTS data analysis to evaluate miRNA biomarkers for malignant versus benign follicular thyroid tumors. Results: High correlation of qPCR and HTS data was observed for the proposed analysis methods. However, qPCR is limited in the differential detection of miRNA isoforms. Moreover, we illustrate a much broader dynamic range of HTS compared to microarrays for small RNA studies. Finally, our data confirm hsa-miR-197-3p, hsa-miR-221-3p, hsa-miR-222-3p and both hsa-miR-144-3p and hsa-miR-144-5p as potential follicular thyroid cancer biomarkers. Conclusions: Compared to microarrays HTS provides a global profile of miRNA expression with higher specificity and in more detail. Summarizing of HTS reads as isoform groups (analysis pipeline B) or according to functional criteria (seed analysis pipeline C), which better correlates to results of qPCR are promising new options for HTS analysis. Finally, data opens future miRNA research perspectives for HTS and indicates that qPCR might be limited in validating HTS data in detail.:Background; Methods; Results; Discussion; Conclusions

Published
2014

17. Age at diagnosis and gender modify the risk of 9q22 and 14q13 polymorphisms for papillary thyroid carcinoma.

Author

Kula, Dorota, Kalemba, Michał, Puch, Zbigniew, Polańska, Joanna, Świerniak, Michał, Rusinek, Dagmara, Jadwiga-Żebracka-Gala, Kowalska, Małgorzata, Handkiewicz-Junak, Daria, Kowal, Monika, Tyszkiewicz, Tomasz, Piasna, Ewelina, Czarniecka, Agnieszka, Pawlaczek, Agnieszka, Krajewska, Jolanta, Szpak-Ulczok, Sylwia, and Jarząb, Barbara

Published
2017
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19. Variants in the ATM‐CHEK2‐BRCA1 axis determine genetic predisposition and clinical presentation of papillary thyroid carcinoma

Author

Wójcicka, Anna, primary, Czetwertyńska, Małgorzata, additional, Świerniak, Michał, additional, Długosińska, Joanna, additional, Maciąg, Monika, additional, Czajka, Agnieszka, additional, Dymecka, Kinga, additional, Kubiak, Anna, additional, Kot, Adam, additional, Płoski, Rafał, additional, de la Chapelle, Albert, additional, and Jażdżewski, Krystian, additional

Published
2014
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20. Unsupervised analysis of follicular thyroid tumours transcriptome by oligonucleotide microarray gene expression profiling

Author

Wojtaś, Bartosz, primary, Pfeifer, Aleksandra, additional, Jarząb, Michał, additional, Czarniecka, Agnieszka, additional, Krajewska, Jolanta, additional, Świerniak, Michał, additional, Stokowy, Tomasz, additional, Rusinek, Dagmara, additional, Kowal, Monika, additional, Żebracka-Gala, Jadwiga, additional, Tyszkiewicz, Tomasz, additional, Oczko-Wojciechowska, Małgorzata, additional, Stobiecka, Ewa, additional, Lange, Dariusz, additional, Paschke, Ralf, additional, and Jarząb, Barbara, additional

Published
2013
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22. Analysis options for high-throughput sequencing in miRNA expression profiling

Author

Stokowy, Tomasz, Eszlinger, Markus, Świerniak, Michał, Fujarewicz, Krzysztof, Jarząb, Barbara, Paschke, Ralf, and Krohn, Knut

Subjects
high-throughput sequencing, follicular thyroid cancer, miRNA expression, microarray, Medicine(all), High-throughput sequencing, Microarrays, Reverse Transcriptase Polymerase Chain Reaction, Biochemistry, Genetics and Molecular Biology(all), Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Reproducibility of Results, miRNA expression, Hochdurchsatz-Sequenzierung, Follikuläres Schilddrüsenkarzinom, microRNA, Microarray, Sensitivity and Specificity, Follicular thyroid cancer, Gene Expression Regulation, Neoplastic, MicroRNAs, Adenocarcinoma, Follicular, Biomarkers, Tumor, Humans, Thyroid Neoplasms, ddc:610, Research Article, Oligonucleotide Array Sequence Analysis
Abstract

Background: Recently high-throughput sequencing (HTS) using next generation sequencing techniques became useful in digital gene expression profiling. Our study introduces analysis options for HTS data based on mapping to miRBase or counting and grouping of identical sequence reads. Those approaches allow a hypothesis free detection of miRNA differential expression. Methods: We compare our results to microarray and qPCR data from one set of RNA samples. We use Illumina platforms for microarray analysis and miRNA sequencing of 20 samples from benign follicular thyroid adenoma and malignant follicular thyroid carcinoma. Furthermore, we use three strategies for HTS data analysis to evaluate miRNA biomarkers for malignant versus benign follicular thyroid tumors. Results: High correlation of qPCR and HTS data was observed for the proposed analysis methods. However, qPCR is limited in the differential detection of miRNA isoforms. Moreover, we illustrate a much broader dynamic range of HTS compared to microarrays for small RNA studies. Finally, our data confirm hsa-miR-197-3p, hsa-miR-221-3p, hsa-miR-222-3p and both hsa-miR-144-3p and hsa-miR-144-5p as potential follicular thyroid cancer biomarkers. Conclusions: Compared to microarrays HTS provides a global profile of miRNA expression with higher specificity and in more detail. Summarizing of HTS reads as isoform groups (analysis pipeline B) or according to functional criteria (seed analysis pipeline C), which better correlates to results of qPCR are promising new options for HTS analysis. Finally, data opens future miRNA research perspectives for HTS and indicates that qPCR might be limited in validating HTS data in detail.:Background; Methods; Results; Discussion; Conclusions

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23. Age at diagnosis and gender modify the risk of 9q22 and 14q13 polymorphisms for papillary thyroid carcinoma.

Author

Kula D, Kalemba M, Puch Z, Polańska J, Świerniak M, Rusinek D, Żebracka-Gala J, Kowalska M, Handkiewicz-Junak D, Kowal M, Tyszkiewicz T, Piasna E, Czarniecka A, Pawlaczek A, Krajewska J, Szpak-Ulczok S, and Jarząb B

Subjects
Adult, Age Factors, Carcinoma, Papillary genetics, Carcinoma, Papillary metabolism, Chromosomes, Human, Pair 14, Chromosomes, Human, Pair 9, Female, Haplotypes, Humans, Male, Middle Aged, Poland, Prognosis, Sex Factors, Thyroid Cancer, Papillary, Thyroid Neoplasms genetics, Thyroid Neoplasms metabolism, Carcinoma, Papillary diagnosis, Forkhead Transcription Factors genetics, Polymorphism, Single Nucleotide, Thyroid Neoplasms diagnosis, Thyroid Nuclear Factor 1 genetics
Abstract

Introduction: Papillary thyroid cancer (PTC) shows familial occurrence, and some susceptibility single nucleotide polymorphisms (SNPs) have been identified in FOXE1 and near the NKX2-1 locus. The aim of our study was to analyse the association of PTC risk with SNPs in FOXE1 (rs965513, rs1867277, rs1443434) and near the NKX2-1 locus (rs944289) in a Polish population, and, in the second step, the interac-tion between SNPs and patient-related factors (age at diagnosis and gender)., Material and Methods: A total of 2243 DNA samples from PTC patients and 1160 controls were included in the study. The SNP analysis was performed with the allelic discrimination technique., Results: There were significant associations of all SNPs with PTC (rs965513 odds ratio [OR] = 1.72, p = 8 × 10-7; rs1867277 OR = 1.59, p = 1 × 10-6; rs1443434 OR = 1.53, p = 1 × 10-5; rs944289 OR = 1.52, p = 4 × 10-5). Logistic regression analysis revealed an increased PTC risk in the interaction of rs944289 with age at diagnosis (OR = 1.01 per year, p = 6 × 10-4) and a decreased PTC risk in the interaction of male gender with the GGT FOXE1 protective haplotype (OR = 0.69, p = 0.01)., Conclusions: the association between PTC and all analysed SNPs was confirmed. It was also shown that patient-related factors modify the predisposition to PTC by increasing the risk for rs944289 per year of age, and by enhancing the protective effect of the FOXE1 GGT haplotype in men.

Published
2017
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