15 results on '"Monika Giglok"'
Search Results
2. Common Variants in Osteopontin and CD44 Genes as Predictors of Treatment Outcome in Radiotherapy and Chemoradiotherapy for Non-Small Cell Lung Cancer
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Seweryn Gałecki, Agnieszka Gdowicz-Kłosok, Regina Deja, Barbara Masłyk, Monika Giglok, Rafał Suwiński, and Dorota Butkiewicz
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osteopontin ,OPN ,SPP1 ,CD44 ,lung cancer ,polymorphism ,Cytology ,QH573-671 - Abstract
Osteopontin (OPN)-CD44 signaling plays an important role in promoting tumor progression and metastasis. In cancer, OPN and CD44 overexpression is a marker of aggressive disease and poor prognosis, and correlates with therapy resistance. In this study, we aimed to evaluate the association of single nucleotide polymorphisms (SNPs) in the OPN and CD44 genes with clinical outcomes in 307 non-small cell lung cancer (NSCLC) patients treated with radiotherapy or chemoradiotherapy. The potential impact of the variants on plasma OPN levels was also investigated. Multivariate analysis showed that OPN rs11730582 CC carriers had a significantly increased risk of death (p = 0.029), while the CD44 rs187116 A allele correlated with a reduced risk of locoregional recurrence (p = 0.016) in the curative treatment subset. The rs11730582/rs187116 combination was associated with an elevated risk of metastasis in these patients (p = 0.016). Furthermore, the OPN rs1126772 G variant alone (p = 0.018) and in combination with rs11730582 CC (p = 7 × 10−5) was associated with poor overall survival (OS) in the squamous cell carcinoma subgroup. The rs11730582 CC, rs187116 GG, and rs1126772 G, as well as their respective combinations, were independent risk factors for unfavorable treatment outcomes. The impact of rs11730582-rs1126772 haplotypes on OS was also observed. These data suggest that OPN and CD44 germline variants may predict treatment effects in NSCLC.
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- 2023
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3. Blood serum proteins as biomarkers for prediction of survival, locoregional control and distant metastasis rate in radiotherapy and radio-chemotherapy for non-small cell lung cancer
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Rafał Suwinski, Monika Giglok, Katarzyna Galwas-Kliber, Adam Idasiak, Bozena Jochymek, Regina Deja, Barbara Maslyk, Jolanta Mrochem-Kwarciak, and Dorota Butkiewicz
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Lung cancer ,Radiotherapy ,Biomarkers ,Survival ,Osteopontin ,Vascular endothelial growth factor ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Several studies have documented that blood biomarkers can improve basic prognostic models in radiotherapy and radio-chemotherapy for non-small cell lung cancer. The current study evaluated the prognostic impact of six markers focusing on their utility in homogenous subsets, compared to the significance in a large heterogeneous group. Methods Blood samples of 337 patients who were referred for curative or palliative external beam thoracic radiotherapy for non-small cell lung cancer were collected. The concentration of osteopontin (OPN), vascular endothelial growth factor (VEGF), erythropoetin (EPO), high mobility group box 1 protein (HMGB1), insulin-like growth factor 1 (IGF-1) and platelet-derived growth factor (PDGF) in serum were measured by ELISA assay and the prognostic potential was assessed using univariable and multivariable survival models. Results Multivariable analysis revealed that out of several variables studied six dichotomized features: namely: cigarette smoking, lack of chemotherapy, palliative doses of radiotherapy, high OPN concentration, advanced T stage and high VEGF concentration had a highly significant (p
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- 2019
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4. Mathematical model predicts response to chemotherapy in advanced non-resectable non-small cell lung cancer patients treated with platinum-based doublet.
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Emilia Kozłowska, Rafał Suwiński, Monika Giglok, Andrzej Świerniak, and Marek Kimmel
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Biology (General) ,QH301-705.5 - Abstract
We developed a computational platform including machine learning and a mechanistic mathematical model to find the optimal protocol for administration of platinum-doublet chemotherapy in a palliative setting. The platform has been applied to advanced metastatic non-small cell lung cancer (NSCLC). The 42 NSCLC patients treated with palliative intent at Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, were collected from a retrospective cohort of patients diagnosed in 2004-2014. Patients were followed-up, for three years. Clinical data collected include complete information about the clinical course of the patients including treatment schedule, response according to RECIST classification, and survival. The core of the platform is the mathematical model, in the form of a system of ordinary differential equations, describing dynamics of platinum-sensitive and platinum-resistant cancer cells and interactions reflecting competition for space and resources. The model is simulated stochastically by sampling the parameter values from a joint probability distribution function. The machine learning model is applied to calibrate the mathematical model and to fit it to the overall survival curve. The model simulations faithfully reproduce the clinical cohort at three levels long-term response (OS), the initial response (according to RECIST criteria), and the relationship between the number of chemotherapy cycles and time between two consecutive chemotherapy cycles. In addition, we investigated the relationship between initial and long-term response. We showed that those two variables do not correlate which means that we cannot predict patient survival solely based on the initial response. We also tested several chemotherapy schedules to find the best one for patients treated with palliative intent. We found that the optimal treatment schedule depends, among others, on the strength of competition among various subclones in a tumor. The computational platform developed allows optimizing chemotherapy protocols, within admissible limits of toxicity, for palliative treatment of metastatic NSCLC. The simplicity of the method allows its application to chemotherapy optimization in different cancers.
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- 2020
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5. Predicting the Risk of Metastatic Dissemination in Non-small Cell Lung Cancer Using Clinical and Genetic Data.
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Emilia Kozlowska, Agata Malgorzata Wilk, Dorota Butkiewicz, Malgorzata Krzesniak, Agnieszka Gdowicz-Klosok, Monika Giglok, Rafal Suwinski, and Andrzej Swierniak
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- 2023
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6. Predicting Metastasis-Free Survival Using Clinical Data in Non-small Cell Lung Cancer.
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Emilia Kozlowska, Monika Giglok, Iwona Debosz-Suwinska, Rafal Suwinski, and Andrzej Swierniak
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- 2022
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7. Circulating HPV16 DNA in Blood Plasma as Prognosticator and Early Indicator of Cancer Recurrence in Radio-Chemotherapy for Anal Cancer
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Agnieszka M. Mazurek, Ewa Małusecka, Iwona Jabłońska, Natalia Vydra, Tomasz W. Rutkowski, Monika Giglok, and Rafał Suwiński
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circulating tumor-related HPV16 DNA ,Cancer Research ,Oncology ,anal cancer ,radiochemotherapy ,SUVmax ,human papillomavirus ,plasma ,viral load - Abstract
Background: Implementation of anal squamous cell carcinoma (ASCC) treatment modifications requires reliable patient risk stratification. The circulating tumor–related human papillomavirus type 16 (ctHPV16) may play a role in predicting survival or assessing treatment response. Methods: The study included 62 ASCC patients treated with chemoradiotherapy. A threshold of 2.5 was used to determine the maximum standardized uptake value (SUVmax). The ctHPV16 viral load (VL) was quantified by qPCR. Results: In the multivariate Cox analysis, lower SUVmax (p = 0.047) and ctHPV16–positive (p = 0.054) proved to be independent prognostic factors for favorable overall survival (OS). In the subgroup with the higher SUVmax, ctHPV16 and nodal (N) status were independent prognostic factors with p = 0.022 for ctHPV16 and p = 0.053 for N. The best survival rate (95%) presented ctHPV16–positive/N–negative patients. High ctHPV16 VL tended to be slightly specific for patients younger than 63 years (p = 0.152). The decrease in ctHPV16 VL to undetectable level after the end of treatment correlated with the overall clinical response. Conclusions: A prognostic stratification by SUVmax, ctHPV16 and N–positive status allows consideration of more aggressive treatment in high–risk patients (those with high SUVmax, ctHPV16–negative, and N–positive) or de–intensification of therapy in low–risk patients (those with low SUVmax, ctHPV16–positive and N–negative). However, prospective clinical trials on a large group are needed.
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- 2023
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8. Significance of HPV16 Viral Load Testing in Anal Cancer
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Tomasz Rutkowski, Ewa Chmielik, Ewa Małusecka, Monika Giglok, Rafał Suwiński, Dariusz Lange, and Agnieszka M. Mazurek
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p53 ,Male ,0301 basic medicine ,Cancer Research ,Gastroenterology ,0302 clinical medicine ,Genotype ,Medicine ,Aged, 80 and over ,Human papillomavirus 16 ,virus diseases ,General Medicine ,Middle Aged ,Viral Load ,Anus Neoplasms ,Prognosis ,female genital diseases and pregnancy complications ,Real-time polymerase chain reaction ,Oncology ,030220 oncology & carcinogenesis ,Cohort ,Carcinoma, Squamous Cell ,Immunohistochemistry ,Original Article ,Female ,Viral load ,Adult ,HPV ,medicine.medical_specialty ,Pathology and Forensic Medicine ,HPV16 viral load ,03 medical and health sciences ,Internal medicine ,Biomarkers, Tumor ,Humans ,Anal cancer ,neoplasms ,Cyclin-Dependent Kinase Inhibitor p16 ,Aged ,Retrospective Studies ,business.industry ,Papillomavirus Infections ,Anal Squamous Cell Carcinoma ,medicine.disease ,Staining ,p16INK4A ,030104 developmental biology ,Poland ,Neoplasm Recurrence, Local ,business ,Follow-Up Studies - Abstract
Human papilloma virus (HPV) is highly frequent among patients with anal squamous cell carcinoma, but the viral load (VL) differs between patients. This study aimed to compare the rate of HPV positivity, HPV16VL, p16INK4A and p53 expression between treatment naive and recurrent anal cancer patients. HPV was genotyped via AmpliSens® HPV HCR-genotype-titre-FRT kit. HPV16 VL was determined via quantitative polymerase chain reaction-based in-house test. p16INK4A and p53 expression was tested via immunohistochemistry. The cohort comprised 13 treatment-naive and 17 recurrent anal SCC patients. High-risk HPV was detected in 87% of cases, and HPV16 (73%) was the predominant genotype. The rate of HPV positivity was higher among women and nonsmokers, and majority of HPV-positive cases were also p16INK4A-positive. All p53-negative tumors were HPV16-positive. The most predominant p53 staining pattern in the HPV-positive group was scattered type, whereas it was diffuse type in the HPV-negative group. The HPV16 VL was higher in the treatment-naive group. Further, in the treatment-naive group, cases with scattered staining pattern of p53 had higher HPV16 VL than cases with diffuse staining pattern. The opposite result was noted in the recurrent cancer group. Moreover, p16-positive cases with scattered p53 staining pattern in the treatment naive group had higher HPV16 VL than their counterparts in the recurrent cancer group. In conclusion, the HPV VL, as is the association between VL and p16INK4A /p53, is in an inversed trend in treatment naive and recurrent cancer patients, highlighting the importance of HPV VL measurement in anal SCC.
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- 2020
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9. Polymorphisms in EGFR Gene Predict Clinical Outcome in Unresectable Non-Small Cell Lung Cancer Treated with Radiotherapy and Platinum-Based Chemoradiotherapy
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Malgorzata Marszalek-Zenczak, Rafał Suwiński, Agnieszka Gdowicz-Kłosok, Dorota Butkiewicz, Małgorzata Krześniak, and Monika Giglok
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0301 basic medicine ,Oncology ,Male ,Lung Neoplasms ,medicine.medical_treatment ,polymorphism ,0302 clinical medicine ,Carcinoma, Non-Small-Cell Lung ,Genotype ,Epidermal growth factor receptor ,Biology (General) ,Spectroscopy ,biology ,General Medicine ,Chemoradiotherapy ,Middle Aged ,radioresponse ,Computer Science Applications ,Neoplasm Proteins ,ErbB Receptors ,Survival Rate ,Chemistry ,030220 oncology & carcinogenesis ,Female ,medicine.medical_specialty ,recurrence ,QH301-705.5 ,EGFR ,Single-nucleotide polymorphism ,Polymorphism, Single Nucleotide ,Catalysis ,Article ,Disease-Free Survival ,Inorganic Chemistry ,03 medical and health sciences ,Internal medicine ,Radioresistance ,medicine ,Humans ,Physical and Theoretical Chemistry ,Lung cancer ,Molecular Biology ,QD1-999 ,radiotherapy ,Aged ,Platinum ,Chemotherapy ,business.industry ,therapy outcome ,Organic Chemistry ,medicine.disease ,Radiation therapy ,lung cancer ,030104 developmental biology ,biology.protein ,prognosis ,business - Abstract
For non-small cell lung cancer (NSCLC), radiotherapy (RT) and platinum-based chemotherapy (CHT) are among the main treatment options. On the other hand, radioresistance and cytotoxic drug resistance are common causes of failure. The epidermal growth factor receptor (EGFR) plays an important role in radioresponse and therapy resistance. We hypothesized that single nucleotide polymorphisms (SNPs) in the EGFR gene might affect individual sensitivity to these treatments, and thus, therapy outcome and prognosis. The association between functional EGFR SNPs and overall (OS), locoregional recurrence-free (LFRS), and metastasis-free (MFS) survival was examined in 436 patients with unresectable NSCLC receiving RT and platinum-based CHTRT. In a multivariate analysis, the rs712830 CC homozygotes showed reduced OS in the whole group (p = 0.039) and in the curative treatment subset (p = 0.047). The rs712829 TT genotype was strongly associated with decreased LRFS (p = 0.006), and the T-C haplotype was a risk factor for locoregional recurrence in our patients (p = 0.003). The rs2227983 GG alone and in combination with rs712829 T was an indicator of unfavorable LRFS (p = 0.028 and 0.002, respectively). Moreover, significant independent effects of these SNPs on OS, LRFS, and MFS were observed. Our results demonstrate that inherited EGFR gene variants may predict clinical outcomes in NSCLC treated with DNA damage-inducing therapy.
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- 2021
10. Mathematical model predicts response to chemotherapy in advanced non-resectable non-small cell lung cancer patients treated with platinum-based doublet
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Andrzej Świerniak, Marek Kimmel, Monika Giglok, Rafał Suwiński, and Emilia Kozłowska
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Male ,0301 basic medicine ,Oncology ,Lung Neoplasms ,Palliative treatment ,medicine.medical_treatment ,Cancer Treatment ,Platinum Compounds ,Lung and Intrathoracic Tumors ,Mathematical and Statistical Techniques ,0302 clinical medicine ,Carcinoma, Non-Small-Cell Lung ,Medicine and Health Sciences ,Biology (General) ,Ecology ,Pharmaceutics ,Mathematical Models ,Clinical course ,Middle Aged ,Computational Theory and Mathematics ,Modeling and Simulation ,Female ,Non small cell ,Algorithms ,Research Article ,Clinical Oncology ,medicine.medical_specialty ,Drug Administration ,QH301-705.5 ,Antineoplastic Agents ,Research and Analysis Methods ,Models, Biological ,Cancer Chemotherapy ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Drug Therapy ,Internal medicine ,Genetics ,medicine ,Chemotherapy ,Humans ,Joint distribution function ,Lung cancer ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Aged ,Retrospective Studies ,business.industry ,Cancers and Neoplasms ,Computational Biology ,Retrospective cohort study ,Patient survival ,medicine.disease ,Non-Small Cell Lung Cancer ,030104 developmental biology ,Clinical Medicine ,business ,030217 neurology & neurosurgery - Abstract
We developed a computational platform including machine learning and a mechanistic mathematical model to find the optimal protocol for administration of platinum-doublet chemotherapy in a palliative setting. The platform has been applied to advanced metastatic non-small cell lung cancer (NSCLC). The 42 NSCLC patients treated with palliative intent at Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, were collected from a retrospective cohort of patients diagnosed in 2004–2014. Patients were followed-up, for three years. Clinical data collected include complete information about the clinical course of the patients including treatment schedule, response according to RECIST classification, and survival. The core of the platform is the mathematical model, in the form of a system of ordinary differential equations, describing dynamics of platinum-sensitive and platinum-resistant cancer cells and interactions reflecting competition for space and resources. The model is simulated stochastically by sampling the parameter values from a joint probability distribution function. The machine learning model is applied to calibrate the mathematical model and to fit it to the overall survival curve. The model simulations faithfully reproduce the clinical cohort at three levels long-term response (OS), the initial response (according to RECIST criteria), and the relationship between the number of chemotherapy cycles and time between two consecutive chemotherapy cycles. In addition, we investigated the relationship between initial and long-term response. We showed that those two variables do not correlate which means that we cannot predict patient survival solely based on the initial response. We also tested several chemotherapy schedules to find the best one for patients treated with palliative intent. We found that the optimal treatment schedule depends, among others, on the strength of competition among various subclones in a tumor. The computational platform developed allows optimizing chemotherapy protocols, within admissible limits of toxicity, for palliative treatment of metastatic NSCLC. The simplicity of the method allows its application to chemotherapy optimization in different cancers., Author summary Lung cancer is usually diagnosed at an advanced stage because of non-specific symptoms. The most common subtype of lung cancer is non-small cell lung cancer, which constitutes 80% of lung cancer cases. Here, we developed the methodology for finding the optimal treatment schedule for patients treated with palliative intent. The goal is not to cure the patients who are at an advanced stage but to prolong their survival by the administration of platinum-based chemotherapy. The method is based on the mathematical model describing the growth of tumors and its response to chemotherapy which is calibrated using real clinical data.
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- 2020
11. TheVEGFR2,COX-2andMMP-2polymorphisms are associated with clinical outcome of patients with inoperable non-small cell lung cancer
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Rafał Suwiński, Anna Drosik, Agata Kosarewicz, M. Gawkowska-Suwinska, Barbara Masłyk, Agnieszka Gdowicz-Kłosok, Dorota Butkiewicz, Marek Rusin, Małgorzata Krześniak, and Monika Giglok
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Oncology ,Cancer Research ,Chemotherapy ,medicine.medical_specialty ,Multivariate analysis ,medicine.medical_treatment ,Fibroblast growth factor receptor 4 ,Biology ,medicine.disease ,Metastasis ,Radiation therapy ,Internal medicine ,Genotype ,Immunology ,medicine ,Allele ,Lung cancer - Abstract
Certain common inherited variations in genes involved in tumor angiogenesis, progression and metastasis may contribute to cancer therapy outcome and prognosis by altering the gene expression and protein activity. In this report, we examined the effect of functional polymorphisms in MMP-1, MMP-2, MMP-3, VEGF, VEGFR2, FGFR4 and COX-2 genes on overall (OS) and progression-free survival (PFS) of 350 Caucasian patients with inoperable non-small cell lung cancer (NSCLC). The results of multivariate analysis indicated that VEGFR2 -906C and COX-2 -1195G alleles were strongly associated with poor OS and PFS (p = 0.002 and 0.015, respectively, for OS; p = 0.009 and 0.015, respectively, for PFS), while MMP-2 -1306 T allele carriers had significantly reduced PFS (p = 0.010). Moreover, an increased risk of death and progression was significantly associated with the number of adverse alleles for VEGFR2/COX-2 (p = 0.0005 for OS and 0.0006 for PFS in >1 adverse allele carriers) and VEGFR2/COX-2/MMP-2 combinations (p = 0.0003 for OS and 0.0001 for PFS in patients with >2 adverse alleles). Finally, VEGFR2 TC/CC, COX-2 AG/GG and MMP-2 CT/TT genotypes as well as "at risk" allele combinations were identified as independent predictors of unfavorable OS and PFS in the group. In conclusion, the data suggest that selected VEGFR2, COX-2 and MMP-2 polymorphisms may be potential prognostic markers in unresectable NSCLC treated with radiotherapy with or without chemotherapy, although further validation studies are warranted to confirm our observations.
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- 2015
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12. Quantification of concentration and assessment of EGFR mutation in circulating DNA
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Dworzecka U, Rafał Suwiński, Ma Usecka E, Monika Giglok, Pierzyna M, and Agnieszka M. Mazurek
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Male ,Cancer Research ,Lung Neoplasms ,medicine.medical_treatment ,Biology ,Exon ,chemistry.chemical_compound ,Genetics ,medicine ,TaqMan ,Humans ,Liquid biopsy ,Lung cancer ,Protein Kinase Inhibitors ,Chemotherapy ,DNA, Neoplasm ,General Medicine ,medicine.disease ,Molecular biology ,ErbB Receptors ,Oncology ,chemistry ,Cell-free fetal DNA ,Mutation ,Cancer research ,Female ,Tyrosine kinase ,DNA - Abstract
BACKGROUND: Analysis of circulating cell-free DNA in blood is considered as a liquid biopsy, which enables non-invasive and repetitive investigation of the tumor DNA. The potential clinical usefulness of circulating DNA is frequently examined in lung cancer. Thus, our aim was assessment if chemotherapy influences the circulating DNA concentration. PATIENTS AND METHODS:Fifty-seven lung cancer patients in advanced stages of the disease were examined. Quantification of circulating DNA was determined by TERT amplification. RESULTS: Distant metastases and chemotherapy were significantly connected with circulating DNA level. Patients treated with conventional chemotherapy had statistically lower circulating DNA levels when compared to patients not treated with chemotherapy. Histological types of tumor and smoking status were not associated with circulating DNA concentration. In this study, we have also genotyped the EGFR mutations in exon 19 of circulating DNA using the TaqMan PCR assays. One patient carried a deletion (2235-49del in EGFR), which has been confirmed by sequencing. CONCLUSIONS: Circulating DNA is easy to obtain, convenient biological material, although quantitative analysis cannot be used as diagnostic tool, but it can be applied to determination of EGFR mutations, basis of the tyrosine kinase inhibitors application.
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- 2015
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13. Blood serum proteins as biomarkers for prediction of survival, locoregional control and distant metastasis rate in radiotherapy and radio-chemotherapy for non-small cell lung cancer
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Dorota Butkiewicz, Monika Giglok, Barbara Masłyk, Jolanta Mrochem-Kwarciak, Bozena Jochymek, Katarzyna Galwas-Kliber, Rafał Suwiński, Adam Idasiak, and Regina Deja
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0301 basic medicine ,Oncology ,Male ,Vascular Endothelial Growth Factor A ,Cancer Research ,Insulin-like growth factor 1 ,Platelet-derived growth factor ,Lung Neoplasms ,Survival ,medicine.medical_treatment ,chemistry.chemical_compound ,0302 clinical medicine ,Blood serum ,Surgical oncology ,Carcinoma, Non-Small-Cell Lung ,Prospective Studies ,Lung ,Chemoradiotherapy ,Middle Aged ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Prognosis ,Vascular endothelial growth factor ,030220 oncology & carcinogenesis ,Female ,Lung cancer ,Research Article ,medicine.medical_specialty ,lcsh:RC254-282 ,Risk Assessment ,Disease-Free Survival ,03 medical and health sciences ,Internal medicine ,Genetics ,medicine ,Biomarkers, Tumor ,Humans ,Erythropoietin ,Survival analysis ,Aged ,Chemotherapy ,Radiotherapy ,business.industry ,medicine.disease ,Survival Analysis ,Radiation therapy ,030104 developmental biology ,chemistry ,Osteopontin ,Erythropoetin ,business ,Biomarkers ,High mobility group box 1 protein ,Follow-Up Studies - Abstract
Background Several studies have documented that blood biomarkers can improve basic prognostic models in radiotherapy and radio-chemotherapy for non-small cell lung cancer. The current study evaluated the prognostic impact of six markers focusing on their utility in homogenous subsets, compared to the significance in a large heterogeneous group. Methods Blood samples of 337 patients who were referred for curative or palliative external beam thoracic radiotherapy for non-small cell lung cancer were collected. The concentration of osteopontin (OPN), vascular endothelial growth factor (VEGF), erythropoetin (EPO), high mobility group box 1 protein (HMGB1), insulin-like growth factor 1 (IGF-1) and platelet-derived growth factor (PDGF) in serum were measured by ELISA assay and the prognostic potential was assessed using univariable and multivariable survival models. Results Multivariable analysis revealed that out of several variables studied six dichotomized features: namely: cigarette smoking, lack of chemotherapy, palliative doses of radiotherapy, high OPN concentration, advanced T stage and high VEGF concentration had a highly significant (p
- Published
- 2018
14. Truncating mutations of PPM1D are found in blood DNA samples of lung cancer patients
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Monika Giglok, Rafał Suwiński, Marek Rusin, Artur Zajkowicz, Dorota Butkiewicz, and Anna Drosik
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Male ,Cancer Research ,Lung Neoplasms ,Colorectal cancer ,medicine.disease_cause ,law.invention ,Exon ,0302 clinical medicine ,law ,Carcinoma, Non-Small-Cell Lung ,p53 phosphorylation ,Phosphoprotein Phosphatases ,Serine ,Frameshift Mutation ,Promoter Regions, Genetic ,Aged, 80 and over ,0303 health sciences ,DNA, Neoplasm ,Exons ,Middle Aged ,PPM1D ,3. Good health ,Protein Phosphatase 2C ,truncating mutations ,Oncology ,Codon, Nonsense ,030220 oncology & carcinogenesis ,Recombinant DNA ,Female ,Adult ,DNA damage ,Biology ,Frameshift mutation ,03 medical and health sciences ,Young Adult ,medicine ,Humans ,Lung cancer ,030304 developmental biology ,Aged ,Genetics and Genomics ,medicine.disease ,Molecular biology ,lung cancer ,mosaicism ,Cancer research ,Tumor Suppressor Protein p53 ,Ovarian cancer ,Carcinogenesis ,DNA Damage - Abstract
Background: PPM1D (WIP1) negatively regulates by dephosphorylation many proteins including p53 tumour suppressor. The truncating mutations (nonsense and frameshift) in exon 6 of PPM1D were found recently in blood cells of patients with breast, ovarian or colorectal cancer. These mutants code for gain-of-function PPM1D with retained phosphatase activity. Their significance in carcinogenesis is unknown. Methods: The exon 6 of PPM1D was sequenced in blood DNA of 543 non-small-cell lung cancer patients (NSCLC). The functional significance of selected PPM1D alterations (Arg458X, Lys469Glu) was compared with the wild-type gene and examined by recombinant DNA techniques, immunoblotting and luciferase reporter assays. Results: The frameshift mutations were found in five NSCLC patients (5/543; 0.92%), all of them had squamous cell carcinomas (5/328; 1.5%). All patients with the mutations were exposed, before the blood collection, to the DNA damaging agents as a part of chemotherapeutic regimen. Functional tests demonstrated that truncating mutation Arg458X causes enhancement of dephosphorylation activity of PPM1D toward serine 15 of p53, whereas Lys469Glu version is equivalent to the wild-type. Neither version of PPM1D (wild-type, Arg458X, Lys469Glu) significantly modulated the ability of p53 to transactivate promoters of the examined p53-target genes (BAX and MDM2). Conclusions: The truncating mutations of PPM1D are present in blood DNA of NSCLC patients at frequency similar to percentage determined for ovarian cancer patients. Our findings raise a question if the detected lesions are a result of chemotherapy.
- Published
- 2015
15. The effectiveness and side effects of conformal external beam radiotherapy combined with high-dose-rate brachytherapy boost compared to conformal external beam radiotherapy alone in patients with prostate cancer
- Author
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Beata Smolska-Ciszewska, Brygida Białas, M. Gawkowska-Suwinska, Leszek Miszczyk, Monika Giglok, Katarzyna Behrendt, A. Zajusz, G. Plewicki, Rafał Suwiński, Marek Fijałkowski, and Elżbieta Nowicka
- Subjects
Male ,High-dose-rate ,Oncology ,medicine.medical_specialty ,medicine.medical_treatment ,Brachytherapy ,Urology ,Single Center ,Androgen deprivation therapy ,Prostate cancer ,Internal medicine ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,External beam radiotherapy ,Survival rate ,Aged ,Neoplasm Staging ,Retrospective Studies ,Aged, 80 and over ,Radiotherapy ,business.industry ,Research ,Prostatic Neoplasms ,Dose-Response Relationship, Radiation ,Retrospective cohort study ,Middle Aged ,Prognosis ,medicine.disease ,Survival Rate ,Radiation therapy ,Radiology Nuclear Medicine and imaging ,Female ,Radiotherapy, Conformal ,business ,Follow-Up Studies - Abstract
Background Clinical data that compare external-beam radiotherapy (EBRT) combined with high-dose-rate brachytherapy (HDR-BT) boost versus EBRT alone are scarce. The analysis of published studies suggest that biochemical relapse-free survival in combined EBRT and HDR-BT may be superior compared to EBRT alone. We retrospectively examined the effectiveness and tolerance of both schemes in a single center study. Methods Between March 2003 and December 2004, 229 patients were treated for localized T1-T2N0M0 prostate cancer. Median age was 66 years (range, 49 – 83 years). PSA level ranged from 0.34 to 64 ng/ml (median 12.3 ng/ml) and Gleason score ranged from 2 to 10. The analysis included 99 patients who underwent EBRT with HDR-BT (group A) and 130 patients who were treated with EBRT alone (group B). Results Median follow-up was 6 years. Biochemical relapses occurred in 34% vs. 22% (p = 0.002), local recurrences in 17% vs. 5% (p = 0.002), and distant metastases in 11% vs. 6% (p = 0.179) of patients in groups A and B, respectively. Five-year biochemical relapse-free survival was 67% vs. 81% (p = 0.005), local recurrence-free survival 95% vs. 99% (p = 0.002), metastases-free survival 95% vs. 94% (p = 0.302) for groups A and B, respectively. Five-year overall survival was 85% in both groups (p = 0.596). Grade 2/3 late GI complications appeared in 9.2% and 24.8% (p = 0.003), respectively. Grade 2/3 late GU symptoms occurred in 12% in both groups. Conclusions Although because of the retrospective character of the study and nonrandomized selection of fractionation schedule the present conclusions had limitations EBRT alone appeared more effective than EBRT combined with HDR-BT. It was likely the result of the less frequent use of androgen deprivation therapy (ADT) for combined scheme group, too low dose in a single BT fraction or inadequate assumptions regarding fractionation sensitivity of prostate cancer.
- Published
- 2015
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