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Article: Long-Term Efficacy and Safety of Enzalutamide Monotherapy in Elderly Patients with Metastatic Castration-Resistant Prostate Cancer: A Case Report.

Pokrivcak, Tomas / Navratil, Jiri / Poprach, Alexandr / Stanik, Michal / Kiss, Igor

2024 Volume 17, Issue 1, Page(s) 537–542

Abstract: Introduction: Prostate cancer is one of the most common cancers in men. Despite the sharp rise in incidence, mortality is decreasing. ARTA preparations are preferred options for asymptomatic or mildly symptomatic patients with mCRPC. The use of ... ...

Abstract	Introduction: Prostate cancer is one of the most common cancers in men. Despite the sharp rise in incidence, mortality is decreasing. ARTA preparations are preferred options for asymptomatic or mildly symptomatic patients with mCRPC. The use of enzalutamide in elderly patients with mCRPC is risky and depends on a number of factors. An increased risk of falls and fractures has been shown. Case presentation: We present a case report of an elderly patient with mCRPC treated with enzalutamide with very good long-term tolerance and efficacy. Conclusion: Despite the older age, no reduction of therapy was necessary in the patient due to good tolerance. Administration of enzalutamide in full doses resulted in a very good effect of therapy.
Language	English
Publishing date	2024-04-04
Publishing country	Switzerland
Document type	Case Reports
ZDB-ID	2458961-5
ISSN	1662-6575
ISSN	1662-6575
DOI	10.1159/000538124
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Article ; Online: Transport properties of mechanochemically synthesized copper (I) selenide for potential applications in energy conversion and storage.

Achimovičová, Marcela / Gáborová, Katarína / Navrátil, Jiří / Levinský, Petr / Skurikhina, Olha / Kurimský, Juraj / Briančin, Jaroslav / Plecháček, Tomáš / Drenčaková, Dáša

Discover nano

2024 Volume 19, Issue 1, Page(s) 73

Abstract: This work studied the thermal stability, electrical, and thermoelectrical properties of copper(I) selenide, ... ...

Abstract	This work studied the thermal stability, electrical, and thermoelectrical properties of copper(I) selenide, Cu
Language	English
Publishing date	2024-04-30
Publishing country	Switzerland
Document type	Journal Article
ISSN	2731-9229
ISSN (online)	2731-9229
DOI	10.1186/s11671-024-04025-5
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Article ; Online: Mechanobiology of cancerogenesis.

Raudenská, Martina / Navrátil, Jiří / Gumulec, Jaromír / Masařík, Michal

Klinicka onkologie : casopis Ceske a Slovenske onkologicke spolecnosti

2021 Volume 34, Issue 3, Page(s) 202–210

Abstract: Background: Within the tumour microenvironment, tumour cells are exposed to different mechanical stimuli such as compression stress, cell-cell and cell-extracellular matrix traction forces, interstitial fluid pressure, and shear stress. Cells actively ... ...

Title translation	Mechanobiologie kancerogeneze.
Abstract	Background: Within the tumour microenvironment, tumour cells are exposed to different mechanical stimuli such as compression stress, cell-cell and cell-extracellular matrix traction forces, interstitial fluid pressure, and shear stress. Cells actively sense and process this information by the mechanism of mechanotransduction to make decisions about their growth, motility, and differentiation. Indeed, the mechanical properties of the tumour microenvironment can deeply influence the behaviour of cancer cells and promote cancerogenesis. During tumour progression, desmoplasia arises and a positive feedback loop between the stiffening extracellular matrix and the properties enabling tumour expansion is established. Tumour cells can use mechanic stimuli to promote proliferation, increase their migratory and invasive potential, and induce therapeutic resistance. Mechanobio-logy is a progressive multidisciplinary field which studies how mechanical forces influence the behaviour of cells or tissues and may provide some interesting targets for cancer therapy. Purpose: In this review, we discuss the mechanical properties of cancer cells and describe the tumour promoting effect of the transformed extracellular matrix. We propose that the differences in the mechanobio-logy of cells and extracellular matrix are significant enough to facilitate tumorigenesis and may provide interesting targets for cancer therapy.
MeSH term(s)	Animals ; Biophysics ; Cell Transformation, Neoplastic ; Extracellular Matrix/pathology ; Humans ; Mechanotransduction, Cellular ; Neoplasms/pathology ; Tumor Microenvironment
Language	English
Publishing date	2021-07-15
Publishing country	Czech Republic
Document type	Journal Article
ZDB-ID	1217739-8
ISSN	1802-5307 ; 0862-495X
ISSN (online)	1802-5307
ISSN	0862-495X
DOI	10.48095/ccko2021202
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Article ; Online: Circulating tumor cell-derived preclinical models: current status and future perspectives.

Kahounová, Zuzana / Pícková, Markéta / Drápela, Stanislav / Bouchal, Jan / Szczyrbová, Eva / Navrátil, Jiří / Souček, Karel

Cell death & disease

2023 Volume 14, Issue 8, Page(s) 530

Abstract: Despite the advancements made in the diagnosis and treatment of cancer, the stages associated with metastasis remain largely incurable and represent the primary cause of cancer-related deaths. The dissemination of cancer is facilitated by circulating ... ...

Abstract	Despite the advancements made in the diagnosis and treatment of cancer, the stages associated with metastasis remain largely incurable and represent the primary cause of cancer-related deaths. The dissemination of cancer is facilitated by circulating tumor cells (CTCs), which originate from the primary tumor or metastatic sites and enter the bloodstream, subsequently spreading to distant parts of the body. CTCs have garnered significant attention in research due to their accessibility in peripheral blood, despite their low abundance. They are being extensively studied to gain a deeper understanding of the mechanisms underlying cancer dissemination and to identify effective therapeutic strategies for advanced stages of the disease. Therefore, substantial efforts have been directed towards establishing and characterizing relevant experimental models derived from CTCs, aiming to provide relevant tools for research. In this review, we provide an overview of recent progress in the establishment of preclinical CTC-derived models, such as CTC-derived xenografts (CDX) and cell cultures, which show promise for the study of CTCs. We discuss the advantages and limitations of these models and conclude by summarizing the potential future use of CTCs and CTC-derived models in cancer treatment decisions and their utility as precision medicine tools.
MeSH term(s)	Humans ; Neoplastic Cells, Circulating ; Cell Culture Techniques ; Heterografts ; Precision Medicine ; Transplantation, Heterologous
Language	English
Publishing date	2023-08-17
Publishing country	England
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2541626-1
ISSN	2041-4889 ; 2041-4889
ISSN (online)	2041-4889
ISSN	2041-4889
DOI	10.1038/s41419-023-06059-6
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Book ; Online: Assessment of Prediction Intervals Using Uncertainty Characteristics Curves

Navratil, Jiri / Elder, Benjamin / Arnold, Matthew / Ghosh, Soumya / Sattigeri, Prasanna

2023

Abstract: Accurate quantification of model uncertainty has long been recognized as a fundamental requirement for trusted AI. In regression tasks, uncertainty is typically quantified using prediction intervals calibrated to an ad-hoc operating point, making ... ...

Abstract	Accurate quantification of model uncertainty has long been recognized as a fundamental requirement for trusted AI. In regression tasks, uncertainty is typically quantified using prediction intervals calibrated to an ad-hoc operating point, making evaluation and comparison across different studies relatively difficult. Our work leverages: (1) the concept of operating characteristics curves and (2) the notion of a gain over a null reference, to derive a novel operating point agnostic assessment methodology for prediction intervals. The paper defines the Uncertainty Characteristics Curve and demonstrates its utility in selected scenarios. We argue that the proposed method addresses the current need for comprehensive assessment of prediction intervals and thus represents a valuable addition to the uncertainty quantification toolbox. Comment: Published at Workshop on Distribution-Free Uncertainty Quantification, International Conference on Machine Learning (ICML), July 2022. arXiv admin note: substantial text overlap with arXiv:2106.00858
Keywords	Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
Publishing date	2023-10-04
Publishing country	us
Document type	Book ; Online
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Article ; Online: Study of low-temperature interconnection techniques for instant assembly of electronics on stretchable e-textile ribbons

Hirman, Martin / Navratil, Jiri / Steiner, Frantisek / Reboun, Jan / Soukup, Radek / Hamacek, Ales

Textile Research Journal. 2022 Nov., v. 92, no. 21-22 p.4269-4287

2022

Abstract: This article addresses the research and development of a reliable interconnection technique for mounting surface mounted device components onto newly developed conductive stretchable textile ribbons. The alternative nonconductive adhesive bonding in ... ...

Abstract	This article addresses the research and development of a reliable interconnection technique for mounting surface mounted device components onto newly developed conductive stretchable textile ribbons. The alternative nonconductive adhesive bonding in which electrical contact is realized only by mechanical pressure and fixed by an adhesive and the conventional soldering technique were selected for examination. Assessment of the performance of these techniques and their usability for interconnecting components on conductive textile ribbons was also our research goal. Reliability tests of the electrical and mechanical properties of realized interconnections (dry heat, damp heat, washing, electrical current load, jerk, and stretch tests) were realized. The results show that the nonconductive adhesive technique results in good mechanical properties and acceptable median electrical resistance of less than 2 Ω even after 90 washing cycles. It is also very gentle and fully compatible with textile production due to the maximal processing temperature lower than 70°C, without the risk of short circuit occurrence. This technique is suitable for sensors, illumination or data transfer applications. While soldering results in excellent median electrical resistance of less than 20 mΩ, it is more complex and costly. Moreover, there is a risk of short circuits as well as of textile damage by the high thermal load over 150°C. Soldering is more suitable for power supply applications or heating. The above-mentioned results were also confirmed in a decision analysis with pairwise comparisons, involving company representatives considering introducing the above-mentioned interconnection techniques into their production. The nonconductive adhesive technique was evaluated as 15% better in overall decision analysis than the low-temperature soldering.
Keywords	decision support systems ; electric current ; electrical resistance ; electronics ; fabrics ; heat ; lighting ; research and development ; risk ; temperature ; Conductive stretchable textile ribbon ; nonconductive adhesive compression bonding ; e-textiles ; soldering ; aging and load testing
Language	English
Dates of publication	2022-11
Size	p. 4269-4287.
Publishing place	SAGE Publications
Document type	Article ; Online
ZDB-ID	2209596-2
ISSN	1746-7748 ; 0040-5175
ISSN (online)	1746-7748
ISSN	0040-5175
DOI	10.1177/00405175221084737
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Metabolic tricks of cancer cells.

Hönigova, Katerina / Navratil, Jiri / Peltanova, Barbora / Polanska, Hana Holcova / Raudenska, Martina / Masarik, Michal

Biochimica et biophysica acta. Reviews on cancer

2022 Volume 1877, Issue 3, Page(s) 188705

Abstract: One of the characteristics of cancer cells important for tumorigenesis is their metabolic plasticity. Indeed, in various stress conditions, cancer cells can reshape their metabolic pathways to support the increased energy request due to continuous growth ...

Abstract	One of the characteristics of cancer cells important for tumorigenesis is their metabolic plasticity. Indeed, in various stress conditions, cancer cells can reshape their metabolic pathways to support the increased energy request due to continuous growth and rapid proliferation. Moreover, selective pressures in the tumor microenvironment, such as hypoxia, acidosis, and competition for resources, force cancer cells to adapt by complete reorganization of their metabolism. In this review, we highlight the characteristics of cancer metabolism and discuss its clinical significance, since overcoming metabolic plasticity of cancer cells is a key objective of modern cancer therapeutics and a better understanding of metabolic reprogramming may lead to the identification of possible targets for cancer therapy.
MeSH term(s)	Cell Transformation, Neoplastic/metabolism ; Energy Metabolism ; Humans ; Metabolic Networks and Pathways ; Neoplasms/pathology ; Tumor Microenvironment
Language	English
Publishing date	2022-03-08
Publishing country	Netherlands
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2918802-7
ISSN	1879-2561 ; 0304-419X
ISSN (online)	1879-2561
ISSN	0304-419X
DOI	10.1016/j.bbcan.2022.188705
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Article ; Online: Autophagy modulators influence the content of important signalling molecules in PS-positive extracellular vesicles.

Hanelova, Klara / Raudenska, Martina / Kratochvilova, Monika / Navratil, Jiri / Vicar, Tomas / Bugajova, Maria / Gumulec, Jaromir / Masarik, Michal / Balvan, Jan

Cell communication and signaling : CCS

2023 Volume 21, Issue 1, Page(s) 120

Abstract: Extracellular vesicles (EVs) are important mediators of intercellular communication in the tumour microenvironment. Many studies suggest that cancer cells release higher amounts of EVs exposing phosphatidylserine (PS) at the surface. There are lots of ... ...

Abstract	Extracellular vesicles (EVs) are important mediators of intercellular communication in the tumour microenvironment. Many studies suggest that cancer cells release higher amounts of EVs exposing phosphatidylserine (PS) at the surface. There are lots of interconnections between EVs biogenesis and autophagy machinery. Modulation of autophagy can probably affect not only the quantity of EVs but also their content, which can deeply influence the resulting pro-tumourigenic or anticancer effect of autophagy modulators. In this study, we found that autophagy modulators autophinib, CPD18, EACC, bafilomycin A1 (BAFA1), 3-hydroxychloroquine (HCQ), rapamycin, NVP-BEZ235, Torin1, and starvation significantly alter the composition of the protein content of phosphatidylserine-positive EVs (PS-EVs) produced by cancer cells. The greatest impact had HCQ, BAFA1, CPD18, and starvation. The most abundant proteins in PS-EVs were proteins typical for extracellular exosomes, cytosol, cytoplasm, and cell surface involved in cell adhesion and angiogenesis. PS-EVs protein content involved mitochondrial proteins and signalling molecules such as SQSTM1 and TGFβ1 pro-protein. Interestingly, PS-EVs contained no commonly determined cytokines, such as IL-6, IL-8, GRO-α, MCP-1, RANTES, and GM-CSF, which indicates that secretion of these cytokines is not predominantly mediated through PS-EVs. Nevertheless, the altered protein content of PS-EVs can still participate in the modulation of the fibroblast metabolism and phenotype as p21 was accumulated in fibroblasts influenced by EVs derived from CPD18-treated FaDu cells. The altered protein content of PS-EVs (data are available via ProteomeXchange with identifier PXD037164) also provides information about the cellular compartments and processes that are affected by the applied autophagy modulators. Video Abstract.
MeSH term(s)	Phosphatidylserines ; Extracellular Vesicles ; Autophagy ; Cytokines ; Exosomes
Chemical Substances	Phosphatidylserines ; Cytokines
Language	English
Publishing date	2023-05-24
Publishing country	England
Document type	Video-Audio Media ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2126315-2
ISSN	1478-811X ; 1478-811X
ISSN (online)	1478-811X
ISSN	1478-811X
DOI	10.1186/s12964-023-01126-z
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Article ; Online: Magnetically Driven Self-Degrading Zinc-Containing Cystine Microrobots for Treatment of Prostate Cancer.

Ussia, Martina / Urso, Mario / Kratochvilova, Monika / Navratil, Jiri / Balvan, Jan / Mayorga-Martinez, Carmen C / Vyskocil, Jan / Masarik, Michal / Pumera, Martin

Small (Weinheim an der Bergstrasse, Germany)

2023 Volume 19, Issue 17, Page(s) e2208259

Abstract: Prostate cancer is the most commonly diagnosed tumor disease in men, and its treatment is still a big challenge in standard oncology therapy. Magnetically actuated microrobots represent the most promising technology in modern nanomedicine, offering the ... ...

Abstract	Prostate cancer is the most commonly diagnosed tumor disease in men, and its treatment is still a big challenge in standard oncology therapy. Magnetically actuated microrobots represent the most promising technology in modern nanomedicine, offering the advantage of wireless guidance, effective cell penetration, and non-invasive actuation. Here, new biodegradable magnetically actuated zinc/cystine-based microrobots for in situ treatment of prostate cancer cells are reported. The microrobots are fabricated via metal-ion-mediated self-assembly of the amino acid cystine encapsulating superparamagnetic Fe
MeSH term(s)	Male ; Humans ; Cystine ; Zinc ; Prostatic Neoplasms
Chemical Substances	Cystine (48TCX9A1VT) ; Zinc (J41CSQ7QDS)
Language	English
Publishing date	2023-01-26
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2168935-0
ISSN	1613-6829 ; 1613-6810
ISSN (online)	1613-6829
ISSN	1613-6810
DOI	10.1002/smll.202208259
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Book ; Online: Anomaly Attribution with Likelihood Compensation

Idé, Tsuyoshi / Dhurandhar, Amit / Navrátil, Jiří / Singh, Moninder / Abe, Naoki

2022

Abstract: This paper addresses the task of explaining anomalous predictions of a black-box regression model. When using a black-box model, such as one to predict building energy consumption from many sensor measurements, we often have a situation where some ... ...

Abstract	This paper addresses the task of explaining anomalous predictions of a black-box regression model. When using a black-box model, such as one to predict building energy consumption from many sensor measurements, we often have a situation where some observed samples may significantly deviate from their prediction. It may be due to a sub-optimal black-box model, or simply because those samples are outliers. In either case, one would ideally want to compute a ``responsibility score'' indicative of the extent to which an input variable is responsible for the anomalous output. In this work, we formalize this task as a statistical inverse problem: Given model deviation from the expected value, infer the responsibility score of each of the input variables. We propose a new method called likelihood compensation (LC), which is founded on the likelihood principle and computes a correction to each input variable. To the best of our knowledge, this is the first principled framework that computes a responsibility score for real valued anomalous model deviations. We apply our approach to a real-world building energy prediction task and confirm its utility based on expert feedback. Comment: 8 pages, 7 figures
Keywords	Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
Subject code	006
Publishing date	2022-08-22
Publishing country	us
Document type	Book ; Online
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