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15 results on '"Radka P. Kaneva"'

1. Peritumor Mucosa in Advanced Laryngeal Carcinoma Exhibits an Aberrant Proangiogenic Signature Distinctive from the Expression Pattern in Adjacent Tumor Tissue

Author

Silva G. Kyurkchiyan, Gergana Stancheva, Veronika Petkova, Stiliana Panova, Venera Dobriyanova, Iglika Stancheva, Venelin Marinov, Zahari Zahariev, Radka P. Kaneva, and Todor M. Popov

Subjects
field cancerization, laryngeal carcinoma, HIF, HIF switch, HIF-1α, HIF-2α, Cytology, QH573-671
Abstract

The field cancerization theory is an important paradigm in head and neck carcinoma as its oncological repercussions affect treatment outcomes in diverse ways. The aim of this study is to assess the possible interconnection between peritumor mucosa and the process of tumor neoangiogenesis. Sixty patients with advanced laryngeal carcinoma were enrolled in this study. The majority of patients express a canonical HIF-upregulated proangiogenic signature with almost complete predominancy of HIF-1α overexpression and normal expression levels of the HIF-2α isoform. Remarkably, more than 60% of the whole cohort also exhibited an HIF-upregulated proangiogenic signature in the peritumoral benign mucosa. Additionally, the latter subgroup had a distinctly shifted phenotype towards HIF-2α upregulation compared to the one in tumor tissue, i.e., a tendency towards an HIF switch is observed in contrast to the dominated by HIF-1α tumor phenotype. ETS-1 displays stable and identical significant overexpression in both the proangiogenic phenotypes present in tumor and peritumoral mucosa. In the current study, we report for the first time the existence of an abnormal proangiogenic expression profile present in the peritumoral mucosa in advanced laryngeal carcinoma when compared to paired distant laryngeal mucosa. Moreover, we describe a specific phenotype of this proangiogenic signature that is significantly different from the one present in tumor tissue as we delineate both phenotypes, quantitively and qualitatively. This finding is cancer heterogeneity, per se, which extends beyond the “classical” borders of the malignancy, and it is proof of a strong interconnection between field cancerization and one of the classical hallmarks of cancer—the process of tumor neoangiogenesis.

Published
2024
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2. Global microRNA expression profile in laryngeal carcinoma unveils new prognostic biomarkers and novel insights into field cancerization

Author

Todor M. Popov, Gergana Stancheva, Silva G. Kyurkchiyan, Veronika Petkova, Stiliana Panova, Radka P. Kaneva, and Diana P. Popova

Subjects
Medicine, Science
Abstract

Abstract Laryngeal carcinoma is still a worldwide burden that has shown no significant improvement during the last few decades regarding definitive treatment strategies. The lack of suitable biomarkers for personalized treatment protocols and delineating field cancerization prevents further progress in clinical outcomes. In the light of this perspective, MicroRNAs could be promising biomarkers both in terms of diagnostic and prognostic value. The aim of this prospective study is to find strong prognostic microRNA biomarkers for advanced laryngeal carcinoma and molecular signatures of field cancerization. Sixty patients were enrolled and four samples were collected from each patient: tumor surface and depth, peritumor normal mucosa, and control distant laryngeal mucosa. Initially, a global microRNA profile was conducted in twelve patients from the whole cohort and subsequently, we validated a selected group of 12 microRNAs with RT-qPCR. The follow-up period was 24 months (SD ± 13 months). Microarray expression profile revealed 59 dysregulated microRNAs. The validated expression levels of miR-93-5p (χ2(2) = 4.68, log-rank p = 0.03), miR-144-3p (χ2(2) = 4.53, log-rank p = 0.03) and miR-210-3p (χ2(2) = 4.53, log-rank p = 0.03) in tumor samples exhibited strong association with recurrence-free survival as higher expression levels of these genes predict worse outcome. Tumor suppressor genes miR-144-3p (mean rank 1.58 vs 2.14 vs 2.29, p = 0.000) and miR-145-5p (mean rank 1.57 vs 2.15 vs 2.28, p = 0.000) were significantly dysregulated in peritumor mucosa with a pattern of expression consistent with paired tumor samples thus revealing a signature of field cancerization in laryngeal carcinoma. Additionally, miR-1260b, miR-21-3p, miR-31-3p and miR-31-5p were strongly associated with tumor grade. Our study reports the first global microRNA profile specifically in advanced laryngeal carcinoma that includes survival analysis and investigates the molecular signature of field cancerization. We report two strong biomarkers of field cancerization and three predictors for recurrence in advance stage laryngeal cancer.

Published
2022
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3. The Role of miRNAs and lncRNAs in Laryngeal Squamous Cell Carcinoma - a Mini-Review

Author

Silva G. Kyurkchiyan, Todor M. Popov, Vanyo I. Mitev, and Radka P. Kaneva

Subjects
biomarkers, lncRNAs, laryngeal cancer, LSCC, miRNA, Medicine
Abstract

Laryngeal squamous cell carcinoma is a common malignancy in men. Bulgaria is one of the countries in Europe with the highest incidence and mortality rates of the aggressive, severe disease of laryngeal cancer. Proven etiological factors are the abuse of tobacco and alcohol beverages. Despite the progress of technologies of multimodal medical treatment, survival rates have not reached satisfactory levels. Over the last few decades, scientific and clinical research data have led to a growing interest in exploring potential biomarkers. In the last years, non-coding RNAs have become promising biomarkers. They are important key regulators in both normal and tumour specific biological processes as well as in the response to environmental factors and treatment, including chemo- and radiotherapy. Studies have shown ectopic expression of a number of ncRNAs in laryngeal cancer. Published data provide evidence of the lncRNAs and miRNAs that could help us better understand complex carcinogenesis in laryngeal cancer and would provide reliable diagnostic, prognostic and predictive biomarkers.

Published
2020
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4. First Report of DHA-1 Producing Enterobacter cloacae Complex Isolate in Bulgaria

Author

Dobromira I. Dimitrova, Rumyana D. Markovska, Temenuga J. Stoeva, Petya B. Stankova, Lyudmila B. Georgieva, Kalina I. Mihova, Radka P. Kaneva, and Ivan G. Mitov

Subjects
Bulgaria, AmpC, DHA-1, Enterobacter cloacae, Medicine
Abstract

The aim of the present study was to reveal the characteristics of an Enterobacter cloacae complex isolate producing DHA-1 AmpC enzyme recovered from a patient hospitalized in St Marina Hospital, Varna.Materials and methods: Susceptibility testing, conjugation experiments, isoelectric focusing, PCR and sequencing were carrying out.Results: Of 176 Enterobacter spp. isolates only one isolate was positive for blaDHA. The sequencing revealed the presence of blaDHA-1 and blaCTX-M-3. The antimicrobial susceptibility testing showed higher resistance rates to almost all beta-lactams (ceftazidime, cefotaxime, cefepime, amoxicillinclavulanic acid, piperacillin/tazobactam), tobramycin, gentamycin, trimethoprim/sulphomethoxazole and quinolones (ciprofloxacin and levofloxacin). The isolate was susceptible to imipenem, meropenem and amikacin. The isoelectric focusing showed a band at pI 5.4 without ceftazidime and cefotaxime activity; a band at pI 7.8 with cefoxitin activity and another - with pI 8.4 with cefotaxime activity. Conjugation experiments were successful only for blaCTX-M-3 carrying determinants. Conclusions: To the best of our knowledge this is the first report of DHA-1 producing isolate in Bulgaria. The emergence of DHA-1 producing E. cloacae complex demonstrates the possibility for further dissemination of the gene encoding this enzyme. Infectious control measures are needed for the prevention of this phenomenon.

Published
2019
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5. Supplementary Figure 3 from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

Author

Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, Antje E. Rinckleb, Aritaya Lophatonanon, John L. Hopper, Kathleen Herkommer, Rosemary Wilkinson, Emma Sawyer, Koveela Govindasami, Sarah J. Little, Tokhir Dadaev, Michelle Guy, Malgorzata Tymrakiewicz, Edward Saunders, Daniel Leongamornlert, Liesel FitzGerald, Amanda B. Spurdle, Melissa C. Southey, Angela Cox, Robert Stephenson, Hong-Wei Zhang, Yong-Jie Lu, Maurice P. Zeegers, William D. Foulkes, Radka P. Kaneva, Pierre Hutter, Pierre O. Chappuis, Kathleen A. Cooney, Stephen N. Thibodeau, Tomonori Habuchi, Charnita Zeigler-Johnson, Timothy R. Rebbeck, Hermann Brenner, Lisa Cannon-Albright, Joanne L. Dickinson, Thilo Doerk, Christiane Maier, Cezary Cybulski, Jong Y. Park, Torben F. Orntoft, Karina D. Sorensen, Sue A. Ingles, Børge G. Nordestgaard, Maren Weischer, Suzanne K. Chambers, Judith A. Clements, Jyotsna Batra, Janet L. Stanford, Elaine A. Ostrander, Paul D.P. Pharoah, Nora Pashayan, Fredrick R. Schumacher, Christopher A. Haiman, Brian E. Henderson, Johanna Schleutker, Kenneth Muir, Jenny L. Donovan, Freddie C. Hamdy, David E. Neal, Gianluca Severi, Graham G. Giles, Antonis C. Antoniou, Sara Benlloch, and Ali Amin Al Olama

Abstract

Supplementary Figure 3. Absolute Risk (A model with only family history of prostate cancer)

Published
2023

6. Supplementary notes from Genome-Wide Association Study of Prostate Cancer–Specific Survival

Author

Fredrik Wiklund, Sara Lindström, Johanna Schleutker, Lovise Maehle, David G. Cox, Anne Tjønneland, Bas H. Bueno-de-Mesquita, Antonia Trichopoulou, Stephanie J. Weinstein, Victoria L. Stevens, Meir J. Stampfer, Kathryn L. Penney, Alison M. Mondul, Jing Ma, Loic Le Marchand, Peter Kraft, David J. Hunter, Edward L. Giovannucci, Susan M. Gapstur, Stephen Chanock, Sonja I. Berndt, Gerald L. Andriole, Demetrius Albanes, Judith A. Clements, Jyotsna Batra, Andrzej Kierzek, Agnieszka Michael, Hardev Pandha, Sofia Maia, Paula Paulo, Manuel R. Teixeira, Amanda Spurdle, Vanio I. Mitev, Radka P. Kaneva, Chavdar Slavov, Hui-Yi Lim, Thomas A. Sellers, Jong Y. Park, Bernd Holleczek, Volker Herrmann, Hermann Brenner, Lisa Cannon-Albright, Wojciech Kluźniak, Jan Lubiński, Cezary Cybulski, Adam S. Kibel, Kathleen Herkommer, Manuel Luedeke, Walther Vogel, Christiane Maier, Daniel J. Schaid, Shannon K. McDonnell, Stephen N. Thibodeau, Janet L. Stanford, Kay-Tee Khaw, Nora Pashayan, Paul D.P. Pharoah, Freddie C. Hamdy, Jenny L. Donovan, David E. Neal, Ruth C. Travis, Timothy J. Key, Børge G. Nordestgaard, Teuvo L.J. Tammela, Csilla Sipeky, Christopher A. Haiman, Fredrick R. Schumacher, Brian E. Henderson, Liesel M. FitzGerald, Melissa C. Southey, Graham G. Giles, Kenneth Muir, Sara Benlloch, Ali Amin Al Olama, Zsofia Kote-Jarai, Douglas F. Easton, Rosalind A. Eeles, Henrik Gronberg, Markus Aly, Thomas Whitington, Robert Karlsson, and Robert Szulkin

Abstract

Supplementary acknowledgments.

Published
2023

7. Supplementary Notes from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

Author

Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, Antje E. Rinckleb, Aritaya Lophatonanon, John L. Hopper, Kathleen Herkommer, Rosemary Wilkinson, Emma Sawyer, Koveela Govindasami, Sarah J. Little, Tokhir Dadaev, Michelle Guy, Malgorzata Tymrakiewicz, Edward Saunders, Daniel Leongamornlert, Liesel FitzGerald, Amanda B. Spurdle, Melissa C. Southey, Angela Cox, Robert Stephenson, Hong-Wei Zhang, Yong-Jie Lu, Maurice P. Zeegers, William D. Foulkes, Radka P. Kaneva, Pierre Hutter, Pierre O. Chappuis, Kathleen A. Cooney, Stephen N. Thibodeau, Tomonori Habuchi, Charnita Zeigler-Johnson, Timothy R. Rebbeck, Hermann Brenner, Lisa Cannon-Albright, Joanne L. Dickinson, Thilo Doerk, Christiane Maier, Cezary Cybulski, Jong Y. Park, Torben F. Orntoft, Karina D. Sorensen, Sue A. Ingles, Børge G. Nordestgaard, Maren Weischer, Suzanne K. Chambers, Judith A. Clements, Jyotsna Batra, Janet L. Stanford, Elaine A. Ostrander, Paul D.P. Pharoah, Nora Pashayan, Fredrick R. Schumacher, Christopher A. Haiman, Brian E. Henderson, Johanna Schleutker, Kenneth Muir, Jenny L. Donovan, Freddie C. Hamdy, David E. Neal, Gianluca Severi, Graham G. Giles, Antonis C. Antoniou, Sara Benlloch, and Ali Amin Al Olama

Abstract

Supplementary Notes. This document includes description of studies that they have been used for the analysis.

Published
2023

8. Supplementary Figure 1 from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

Author

Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, Antje E. Rinckleb, Aritaya Lophatonanon, John L. Hopper, Kathleen Herkommer, Rosemary Wilkinson, Emma Sawyer, Koveela Govindasami, Sarah J. Little, Tokhir Dadaev, Michelle Guy, Malgorzata Tymrakiewicz, Edward Saunders, Daniel Leongamornlert, Liesel FitzGerald, Amanda B. Spurdle, Melissa C. Southey, Angela Cox, Robert Stephenson, Hong-Wei Zhang, Yong-Jie Lu, Maurice P. Zeegers, William D. Foulkes, Radka P. Kaneva, Pierre Hutter, Pierre O. Chappuis, Kathleen A. Cooney, Stephen N. Thibodeau, Tomonori Habuchi, Charnita Zeigler-Johnson, Timothy R. Rebbeck, Hermann Brenner, Lisa Cannon-Albright, Joanne L. Dickinson, Thilo Doerk, Christiane Maier, Cezary Cybulski, Jong Y. Park, Torben F. Orntoft, Karina D. Sorensen, Sue A. Ingles, Børge G. Nordestgaard, Maren Weischer, Suzanne K. Chambers, Judith A. Clements, Jyotsna Batra, Janet L. Stanford, Elaine A. Ostrander, Paul D.P. Pharoah, Nora Pashayan, Fredrick R. Schumacher, Christopher A. Haiman, Brian E. Henderson, Johanna Schleutker, Kenneth Muir, Jenny L. Donovan, Freddie C. Hamdy, David E. Neal, Gianluca Severi, Graham G. Giles, Antonis C. Antoniou, Sara Benlloch, and Ali Amin Al Olama

Abstract

Supplementary Figure 1. Absolute Risk (With family history of prostate cancer)

Published
2023

9. Data from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

Author

Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, Antje E. Rinckleb, Aritaya Lophatonanon, John L. Hopper, Kathleen Herkommer, Rosemary Wilkinson, Emma Sawyer, Koveela Govindasami, Sarah J. Little, Tokhir Dadaev, Michelle Guy, Malgorzata Tymrakiewicz, Edward Saunders, Daniel Leongamornlert, Liesel FitzGerald, Amanda B. Spurdle, Melissa C. Southey, Angela Cox, Robert Stephenson, Hong-Wei Zhang, Yong-Jie Lu, Maurice P. Zeegers, William D. Foulkes, Radka P. Kaneva, Pierre Hutter, Pierre O. Chappuis, Kathleen A. Cooney, Stephen N. Thibodeau, Tomonori Habuchi, Charnita Zeigler-Johnson, Timothy R. Rebbeck, Hermann Brenner, Lisa Cannon-Albright, Joanne L. Dickinson, Thilo Doerk, Christiane Maier, Cezary Cybulski, Jong Y. Park, Torben F. Orntoft, Karina D. Sorensen, Sue A. Ingles, Børge G. Nordestgaard, Maren Weischer, Suzanne K. Chambers, Judith A. Clements, Jyotsna Batra, Janet L. Stanford, Elaine A. Ostrander, Paul D.P. Pharoah, Nora Pashayan, Fredrick R. Schumacher, Christopher A. Haiman, Brian E. Henderson, Johanna Schleutker, Kenneth Muir, Jenny L. Donovan, Freddie C. Hamdy, David E. Neal, Gianluca Severi, Graham G. Giles, Antonis C. Antoniou, Sara Benlloch, and Ali Amin Al Olama

Abstract

Background: Genome-wide association studies have identified multiple genetic variants associated with prostate cancer risk which explain a substantial proportion of familial relative risk. These variants can be used to stratify individuals by their risk of prostate cancer.Methods: We genotyped 25 prostate cancer susceptibility loci in 40,414 individuals and derived a polygenic risk score (PRS). We estimated empirical odds ratios (OR) for prostate cancer associated with different risk strata defined by PRS and derived age-specific absolute risks of developing prostate cancer by PRS stratum and family history.Results: The prostate cancer risk for men in the top 1% of the PRS distribution was 30.6 (95% CI, 16.4–57.3) fold compared with men in the bottom 1%, and 4.2 (95% CI, 3.2–5.5) fold compared with the median risk. The absolute risk of prostate cancer by age of 85 years was 65.8% for a man with family history in the top 1% of the PRS distribution, compared with 3.7% for a man in the bottom 1%. The PRS was only weakly correlated with serum PSA level (correlation = 0.09).Conclusions: Risk profiling can identify men at substantially increased or reduced risk of prostate cancer. The effect size, measured by OR per unit PRS, was higher in men at younger ages and in men with family history of prostate cancer. Incorporating additional newly identified loci into a PRS should improve the predictive value of risk profiles.Impact: We demonstrate that the risk profiling based on SNPs can identify men at substantially increased or reduced risk that could have useful implications for targeted prevention and screening programs. Cancer Epidemiol Biomarkers Prev; 24(7); 1121–9. ©2015 AACR.

Published
2023

10. Supplementary Tables 1-8 from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

Author

Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, Antje E. Rinckleb, Aritaya Lophatonanon, John L. Hopper, Kathleen Herkommer, Rosemary Wilkinson, Emma Sawyer, Koveela Govindasami, Sarah J. Little, Tokhir Dadaev, Michelle Guy, Malgorzata Tymrakiewicz, Edward Saunders, Daniel Leongamornlert, Liesel FitzGerald, Amanda B. Spurdle, Melissa C. Southey, Angela Cox, Robert Stephenson, Hong-Wei Zhang, Yong-Jie Lu, Maurice P. Zeegers, William D. Foulkes, Radka P. Kaneva, Pierre Hutter, Pierre O. Chappuis, Kathleen A. Cooney, Stephen N. Thibodeau, Tomonori Habuchi, Charnita Zeigler-Johnson, Timothy R. Rebbeck, Hermann Brenner, Lisa Cannon-Albright, Joanne L. Dickinson, Thilo Doerk, Christiane Maier, Cezary Cybulski, Jong Y. Park, Torben F. Orntoft, Karina D. Sorensen, Sue A. Ingles, Børge G. Nordestgaard, Maren Weischer, Suzanne K. Chambers, Judith A. Clements, Jyotsna Batra, Janet L. Stanford, Elaine A. Ostrander, Paul D.P. Pharoah, Nora Pashayan, Fredrick R. Schumacher, Christopher A. Haiman, Brian E. Henderson, Johanna Schleutker, Kenneth Muir, Jenny L. Donovan, Freddie C. Hamdy, David E. Neal, Gianluca Severi, Graham G. Giles, Antonis C. Antoniou, Sara Benlloch, and Ali Amin Al Olama

Abstract

Supplementary Tables 1-8. Supplementary table 1: Total number of cases and controls in PRACTICAL III and GWAS stage 3 by population and study. Supplementary Table 2: Data information for family history and age at diagnosis/observation. Supplementary Table 3: Grade-specific and family history-specific odds ratios. Supplementary Table 4: PSA levels by genotype in controls. Supplementary Table 5: Age-specific odds ratios. Supplementary Table 6: The results of 29 pair wise interaction of 25 SNPs significant at P

Published
2023

11. Data from Genome-Wide Association Study of Prostate Cancer–Specific Survival

Author

Fredrik Wiklund, Sara Lindström, Johanna Schleutker, Lovise Maehle, David G. Cox, Anne Tjønneland, Bas H. Bueno-de-Mesquita, Antonia Trichopoulou, Stephanie J. Weinstein, Victoria L. Stevens, Meir J. Stampfer, Kathryn L. Penney, Alison M. Mondul, Jing Ma, Loic Le Marchand, Peter Kraft, David J. Hunter, Edward L. Giovannucci, Susan M. Gapstur, Stephen Chanock, Sonja I. Berndt, Gerald L. Andriole, Demetrius Albanes, Judith A. Clements, Jyotsna Batra, Andrzej Kierzek, Agnieszka Michael, Hardev Pandha, Sofia Maia, Paula Paulo, Manuel R. Teixeira, Amanda Spurdle, Vanio I. Mitev, Radka P. Kaneva, Chavdar Slavov, Hui-Yi Lim, Thomas A. Sellers, Jong Y. Park, Bernd Holleczek, Volker Herrmann, Hermann Brenner, Lisa Cannon-Albright, Wojciech Kluźniak, Jan Lubiński, Cezary Cybulski, Adam S. Kibel, Kathleen Herkommer, Manuel Luedeke, Walther Vogel, Christiane Maier, Daniel J. Schaid, Shannon K. McDonnell, Stephen N. Thibodeau, Janet L. Stanford, Kay-Tee Khaw, Nora Pashayan, Paul D.P. Pharoah, Freddie C. Hamdy, Jenny L. Donovan, David E. Neal, Ruth C. Travis, Timothy J. Key, Børge G. Nordestgaard, Teuvo L.J. Tammela, Csilla Sipeky, Christopher A. Haiman, Fredrick R. Schumacher, Brian E. Henderson, Liesel M. FitzGerald, Melissa C. Southey, Graham G. Giles, Kenneth Muir, Sara Benlloch, Ali Amin Al Olama, Zsofia Kote-Jarai, Douglas F. Easton, Rosalind A. Eeles, Henrik Gronberg, Markus Aly, Thomas Whitington, Robert Karlsson, and Robert Szulkin

Abstract

Background: Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical.Methods: We performed a genome-wide survival analysis of cause-specific death in 24,023 prostate cancer patients (3,513 disease-specific deaths) from the PRACTICAL and BPC3 consortia. Top findings were assessed for replication in a Norwegian cohort (CONOR).Results: We observed no significant association between genetic variants and prostate cancer survival.Conclusions: Common genetic variants with large impact on prostate cancer survival were not observed in this study.Impact: Future studies should be designed for identification of rare variants with large effect sizes or common variants with small effect sizes. Cancer Epidemiol Biomarkers Prev; 24(11); 1796–800. ©2015 AACR.

Published
2023

12. Promoter hypermethylation of CDKN2A, MGMT, MLH1, and DAPK genes in laryngeal squamous cell carcinoma and their associations with clinical profiles of the patients

Author

Stefano, Pierini, Stanislav H, Jordanov, Atanaska V, Mitkova, Ivan J, Chalakov, Mincho B, Melnicharov, Kuncho V, Kunev, Vanio I, Mitev, Radka P, Kaneva, and Teodora E, Goranova

Subjects
Adult, Male, Tumor Suppressor Proteins, Nuclear Proteins, DNA Methylation, Middle Aged, Death-Associated Protein Kinases, DNA Repair Enzymes, Carcinoma, Squamous Cell, Prevalence, Humans, Female, Bulgaria, MutL Protein Homolog 1, Promoter Regions, Genetic, DNA Modification Methylases, Laryngeal Neoplasms, Cyclin-Dependent Kinase Inhibitor p16, Adaptor Proteins, Signal Transducing, Aged
Abstract

Laryngeal squamous cell carcinoma (laryngeal SCC) is a frequently occurring cancer of the head and neck area. Epigenetic changes of tumor-related genes contribute to its genesis and progression.We assessed promoter methylation status of the selected genes (CDKN2A, MGMT, MLH1, and DAPK) using methylation-sensitive high resolution melting (MS-HRM) in 100 patients with laryngeal SCC and studied the correlations with clinical characteristics.The prevalence of promoter methylation in MGMT, CDKN2A, MLH1, and DAPK was 59 of 97 (60.8%), 46 of 97 (47.4%), 45 of 97 (46.4%), and 41 of 97 patients (42.3%), respectively. Significantly increased methylation of CDKN2A was observed in heavy smokers. Epigenetic inactivation of CDKN2A and MLH1 were found to be associated with lymph node involvement. An inverse correlation was present between MLH1 methylation and alcohol consumption.Our results strongly suggest that deregulation of p16-associated, and MLH1-associated pathways, because of promoter hypermethylation, is associated with increased cancer cell migration, tumor invasiveness, and, thus, aggressive phenotype.

Published
2012

13. Expression of the nuclear protein mitotin in differentiating in vitro HL 60 cells

Author

Ivan T. Todorov, Alex P. Vassilev, Radka P. Kaneva, Asen A. Hadjiolov, R. N. Philipova, and Penka Andreeva

Subjects
Population, Fluorescent Antibody Technique, Biology, Antigen, Antigens, Neoplasm, Precursor cell, Tumor Cells, Cultured, Humans, Dimethyl Sulfoxide, RNA, Messenger, RNA, Neoplasm, Nuclear protein, education, Mitosis, Messenger RNA, education.field_of_study, Cell growth, Antibodies, Monoclonal, Nuclear Proteins, Cell Differentiation, Cell Biology, General Medicine, Blotting, Northern, Molecular biology, In vitro, DNA Probes, Cell Division
Abstract

Mitotin is a 125 kDa/pI 6.5 nuclear protein specific for proliferating cells and markedly increased prior to and during mitosis. This study presents evidence for the expression of this protein during dimethylsulfoxide (DMSO) induced differentiation of human promyelocytic leukemia HL 60 cells. The expression had been followed at two levels: as antigen, using a specific antimitotin monoclonal antibody and as mRNA, using a specific cDNA probe. The results from the immunofluorescent study show a gradual disappearance of mitotin in differentiating HL 60 cells starting from the fourth day after DMSO induction. On the other hand, the changes in the expression of mitotin mRNA were much more dramatic. This mRNA is expressed at a high level during the first three days of differentiation but shows a striking decrease after the fourth day. This correlates with the rapid changes in the number of blast cells in the differentiating HL 60 cell population. Therefore, the expression of mitotin mRNA can serve as a marker for the changes accompanying the termination of cell proliferation in differentiating cells.

Published
1991

14. Linkage analysis in bipolar pedigrees adds support for a susceptibility locus on 21q22.

Author

Radka P. Kaneva

Subjects
AFFECTIVE disorders, LINKAGE (Genetics), PATHOLOGICAL psychology, GENETICS
Abstract

Several studies provide suggestive evidence of a susceptibility locus for bipolar disorder at chromosome 21q22-23. In an attempt to replicate these findings, we have analyzed linkage to 11 polymorphic markers from this region in 18 Bulgarian pedigrees with affective disorder. Two-point linkage analysis under assumption of homogeneity and a dominant model with reduced penetrance produced modest positive values for some of the markers tested under a '''narrow''' phenotype definition, including bipolar I and II, and schizoaffective disorder. The maximum two-point score (lod=1.76, ''=0.00) was at marker D21S1919. Non-parametric linkage analysis under the same phenotype model, yielded positive NPLall values (P<0.05) over the region between markers D21S211 and D21S416, with a peak at D21S1252 (NPL Zall=2.32, P=0.0003). The multipoint lod score (GENEHUNTER) reached a suggestive value for linkage (lod=2.10) also at marker D21S1252. The results under a recessive model were completely negative. These data add to the evidence for the existence of a susceptibility locus for bipolar affective disorder on chromosome 21q22. [ABSTRACT FROM AUTHOR]

Published
2004
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