Emilia Kozłowska

ORCID: 0000-0002-3069-3085
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About
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Research Areas
  • Ovarian cancer diagnosis and treatment
  • Cancer Genomics and Diagnostics
  • Lung Cancer Treatments and Mutations
  • Radiomics and Machine Learning in Medical Imaging
  • Mathematical Biology Tumor Growth
  • Lung Cancer Diagnosis and Treatment
  • Microtubule and mitosis dynamics
  • Gene Regulatory Network Analysis
  • PARP inhibition in cancer therapy
  • Ferroptosis and cancer prognosis
  • Medical Imaging Techniques and Applications
  • Monoclonal and Polyclonal Antibodies Research
  • Plant Pathogens and Fungal Diseases
  • AI in cancer detection
  • Plant and fungal interactions
  • 14-3-3 protein interactions
  • Computational Drug Discovery Methods
  • Gene expression and cancer classification
  • Advanced Fluorescence Microscopy Techniques
  • Radiopharmaceutical Chemistry and Applications
  • Cancer Immunotherapy and Biomarkers
  • Protease and Inhibitor Mechanisms
  • Advanced X-ray and CT Imaging
  • Chemical Reactions and Isotopes
  • Fungal Biology and Applications

Silesian University of Technology
2016-2024

University of Helsinki
2017-2020

Defense Information Systems Agency
2019

Polish Mother’s Memorial Hospital Research Institute
2003

Laboratory of Molecular Genetics
2003

Abstract We formulated a computational model for MAPK signaling cascade downstream of the EGF receptor to investigate how interlinked positive and negative feedback loops process signals into ERK pulses constant amplitude but dose-dependent duration frequency. A loop involving RAS SOS, which leads bistability allows switch-like responses inputs, is nested within that encompasses RAF, MEK, inhibits SOS via phosphorylation. This feedback, operating on longer time scale, changes behavior...

10.1038/srep38244 article EN cc-by Scientific Reports 2017-01-03

Abstract Platinum-based chemotherapy constitutes the backbone of clinical care in advanced solid cancers such as high-grade serous ovarian cancer (HGSOC) and has prolonged survival millions patients with cancer. Most these patients, however, become resistant to chemotherapy, which generally leads a fatal refractory disease. We present comprehensive stochastic mathematical model simulator approach describe platinum resistance standard-of-care (SOC) therapy HGSOC. used pre- posttreatment data,...

10.1158/0008-5472.can-17-3746 article EN Cancer Research 2018-05-16

We developed a computational platform including machine learning and mechanistic mathematical model to find the optimal protocol for administration of platinum-doublet chemotherapy in palliative setting. The has been applied advanced metastatic non-small cell lung cancer (NSCLC). 42 NSCLC patients treated with intent at Maria Sklodowska-Curie National Research Institute Oncology, Gliwice Branch, were collected from retrospective cohort diagnosed 2004–2014. Patients followed-up, three years....

10.1371/journal.pcbi.1008234 article EN cc-by PLoS Computational Biology 2020-10-05

Abstract A major issue in oncology is the high failure rate of translating preclinical results successful clinical trials. Using a virtual trial simulations approach, we present mathematical framework to estimate added value combinatorial treatments ovarian cancer. This approach was applied identify effective targeted therapies that can be combined with platinum-taxane regimen and overcome platinum resistance high-grade serous We modeled evaluated effectiveness three drugs target main...

10.1038/s41598-019-55068-z article EN cc-by Scientific Reports 2019-12-10

Many diseases with a genetic background such as some types of cancer are caused by damage in the p53 signaling pathway. The changes system dynamics providing cells resistance to therapy radiation therapy. change can be observed difference bifurcation diagrams and equilibria type location between normal damaged cells, summarized mathematical model parameters following eigenvalues Jacobian matrix. Therefore other parameters, mRNA degradation rates, may restore proper that dynamics. From...

10.1016/j.jtbi.2016.08.017 article EN cc-by-nc-nd Journal of Theoretical Biology 2016-08-15

Non-small cell lung cancer (NSCLC) is the most common type of cancer, and median overall survival (OS) approximately 2-3 years among patients with stage III disease. Furthermore, it one deadliest types globally due to non-specific symptoms lack a biomarker for early detection. The important decision that clinicians need make after diagnosis selection treatment schedule. This based on, others factors, risk developing metastasis.A cohort 115 NSCLC treated using chemotherapy radiotherapy (RT)...

10.21037/tlcr-23-60 article EN Translational Lung Cancer Research 2023-07-01

Abstract High-grade serous ovarian cancer (HGSC) is one of the most lethal gynecological cancers. Recent clinical trials have shown remarkable benefits maintenance treatment with Poly-ADP Ribose Polymerase inhibitors, particularly in patients tumors deficient homologous recombination DNA repair. However, large Phase III are limited their ability to evaluate various dosages and durations, effects toxicities interruptions on outcomes remain unknown. In this study, we developed a computational...

10.1101/2024.01.29.24301918 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2024-01-30

Clinical trials are costly and time-intensive endeavors, with a high rate of drug candidate failures. Moreover, the standard approaches often evaluate drugs under limited number protocols. In oncology, where multiple treatment protocols can yield divergent outcomes, addressing this issue is crucial. Here, we present computational framework that simulates clinical through combination mathematical statistical models. This approach offers means to explore diverse efficiently identify optimal...

10.1038/s41598-024-80768-6 article EN cc-by-nc-nd Scientific Reports 2024-11-29

Abstract Background Non-small cell lung cancer (NSCLC) is the most common type of cancer, and median overall survival approximately 2-3 years among patients with stage III disease. Furthermore, it one deadliest types globally due to non-specific symptoms lack a biomarker for early detection. The important decision that clinicians need make after diagnosis selection treatment schedule. This based on, others factors, risk developing metastasis. Methods A cohort 115 NSCLC treated using...

10.1101/2023.01.31.23285230 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-02-01

10.5220/0011705300003414 article EN cc-by-nc-nd Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies 2023-01-01

<div>Abstract<p>Platinum-based chemotherapy constitutes the backbone of clinical care in advanced solid cancers such as high-grade serous ovarian cancer (HGSOC) and has prolonged survival millions patients with cancer. Most these patients, however, become resistant to chemotherapy, which generally leads a fatal refractory disease. We present comprehensive stochastic mathematical model simulator approach describe platinum resistance standard-of-care (SOC) therapy HGSOC. used pre-...

10.1158/0008-5472.c.6510459.v1 preprint EN 2023-03-31

<div>Abstract<p>Platinum-based chemotherapy constitutes the backbone of clinical care in advanced solid cancers such as high-grade serous ovarian cancer (HGSOC) and has prolonged survival millions patients with cancer. Most these patients, however, become resistant to chemotherapy, which generally leads a fatal refractory disease. We present comprehensive stochastic mathematical model simulator approach describe platinum resistance standard-of-care (SOC) therapy HGSOC. used pre-...

10.1158/0008-5472.c.6510459 preprint EN 2023-03-31

<title>Abstract</title> In this study, we present a comprehensive analysis of the role TP53 in various cancers, its impact on disease-free survival (DFS), and mathematical models used to understand protein network dynamics. <bold>TP53 Analysis:</bold> We analyzed diverse set including BLCA, BRCA, CESC, CHOL, COAD, DLBC, ESCA, HNSC, KICH, KIRC, LIHC, LUAD, LUSC, UCEC, identified overexpression as significant prognostic factor PRAD. The analysis, supported by p-value (p &lt; 0.05), revealed...

10.21203/rs.3.rs-3412745/v1 preprint EN cc-by Research Square (Research Square) 2023-10-17

Drug resistance is a bottleneck in cancer treatment. Commonly, molecular treatment for leads to the emergence of drug long term. Thus, some drugs, despite their initial excellent response, are withdrawn from market. Lung one most mutated cancers, leading dozens targeted therapeutics available against it. Here, we have developed mechanistic mathematical model describing sensitization nine groups and intrinsic resistance. As focus only on resistance, perform computer simulations until clinical...

10.3390/ijms242115801 article EN International Journal of Molecular Sciences 2023-10-31

Abstract Our integrated multi-omics analysis of paired primary and relapse DLBCL tumors provides comprehensive view to tumor evolution, drug resistance disease heterogeneity. is an aggressive systemic in which can arise virtually any part the body. Activated B-cell (ABC) germinal center (GCB)-like subtypes differ molecularly clinically. Three-year progression-free survival (PFS) ABC around 40% vs over 80% GCB. Whole genome (WGS, 7 patients), transcriptome (total RNA, patients) methylome...

10.1158/1538-7445.am2017-3939 article EN cc-by-nc Cancer Research 2017-07-01
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