Pancreas is a vital gland of gastrointestinal system with exocrine and endocrine secretory functions, interweaved into essential metabolic circuitries of the human body. Pancreatic ductal adenocarcinoma (PDAC) represents one of the most lethal malignancies, with a 5-year survival rate of 11%. This poor prognosis is primarily attributed to the absence of early symptoms, rapid metastatic dissemination, and the limited efficacy of current therapeutic interventions. Despite recent advancements in understanding the etiopathogenesis and treatment of PDAC, there remains a pressing need for improved individualized models, identification of novel molecular targets, and development of unbiased predictors of disease progression. Here we aim to explore the concept of precision medicine utilizing 3-dimensional, patient-specific cellular models of pancreatic tumors and discuss their potential applications in uncovering novel druggable molecular targets and predicting clinical parameters for individual patients.

• MeSH
• duktální karcinom slinivky břišní * patologie   genetika   metabolismus   MeSH
• individualizovaná medicína * metody   MeSH
• lidé MeSH
• nádory slinivky břišní * patologie   genetika   MeSH
• techniky 3D buněčné kultury metody   MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

Current antibiotics and chemotherapeutics are becoming ineffective because pathogenic bacteria and tumor cells have developed multiple drug resistance. Therefore, it is necessary to find new substances that can be used in treatment, either alone or as sensitizing molecules in combination with existing drugs. Peptaibols are bioactive, membrane-active peptides of non-ribosomal origin, mainly produced by filamentous fungi such as Trichoderma spp. This study focused on producing peptaibol-rich extracts from Trichoderma atroviride O1, cultivated on malt extract agar (MA) under circadian and constant darkness conditions for 13 days. Peptaibol production was detected by MALDI-TOF mass spectrometry after six days of cultivation. The extracts demonstrated antibacterial activity against Staphylococcus aureus strains, particularly the methicillin-resistant variant, but not against the Gram-negative Pseudomonas aeruginosa. Quorum sensing interference revealed that a peptaibol-rich extract suppressed Vibrio campbellii BAA-1119's AI-2 signaling system to a degree comparable with gentamycin. Beyond antibacterial properties, the extracts exhibited notable antiproliferative activity against human ovarian cancer cells and their adriamycin-resistant subline in both 2D and 3D models. Specifically, MA-derived extracts reduced ovarian cancer cell viability by 70% at 50 μg/mL, especially under light/dark regime of cultivation. Compared to previously published results for PDA-based extracts, MA cultivation shifted the biological effects of peptaibol-containing extracts toward anticancer potential. These findings support the idea that modifying fungal cultivation parameters, the bioactivity of secondary metabolite mixtures can be tailored for specific therapeutic applications.

• MeSH
• agar * chemie   MeSH
• antibakteriální látky * farmakologie   metabolismus   MeSH
• Hypocreales MeSH
• kultivační média chemie   MeSH
• lidé MeSH
• mikrobiální testy citlivosti MeSH
• nádorové buněčné linie MeSH
• peptaiboly * farmakologie   metabolismus   biosyntéza   chemie   MeSH
• proliferace buněk účinky léků   MeSH
• protinádorové látky * farmakologie   metabolismus   MeSH
• Pseudomonas aeruginosa účinky léků   MeSH
• Staphylococcus aureus účinky léků   MeSH
• Trichoderma * metabolismus   růst a vývoj   chemie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: The objective of this study was to develop a novel method for creating highly detailed three-dimensional physical models of lung lobes, incorporating tumour morphology and surrounding structures, with the aim of improving the assessment of operability for central lung tumours. CASE PRESENTATION: A method was developed that uses standard computed tomography (CT) scans to mark the desired structures and generate a three-dimensional image for physical model creation. The generated STL files can be seamlessly integrated into virtual reality, allowing the sharing of selected CT scan data. Our approach has been successfully integrated into clinical practice, enabling multidisciplinary teams to make informed decisions for patients with central lung tumours. We have reduced the preparation time of physical models from 100 h to 18 h. CONCLUSIONS: The novel method, which employs 3D printing technology, has enhanced the assessment of operability for central lung tumours, thereby facilitating more precise decisions regarding patient management. This innovative approach has the potential to enhance patient outcomes by reducing complications and optimizing treatment planning.

• MeSH
• 3D tisk * MeSH
• anatomické modely * MeSH
• lidé MeSH
• nádory plic * diagnostické zobrazování   chirurgie   patologie   MeSH
• plíce diagnostické zobrazování   MeSH
• počítačová rentgenová tomografie MeSH
• zobrazování trojrozměrné * metody   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• kazuistiky MeSH

BACKGROUND: This study develops a deep learning-based automated lesion segmentation model for whole-body 3D18F-fluorodeoxyglucose (FDG)-Position emission tomography (PET) with computed tomography (CT) images agnostic to disease location and site. METHOD: A publicly available lesion-annotated dataset of 1014 whole-body FDG-PET/CT images was used to train, validate, and test (70:10:20) eight configurations with 3D U-Net as the backbone architecture. The best-performing model on the test set was further evaluated on 3 different unseen cohorts consisting of osteosarcoma or neuroblastoma (OS cohort) (n = 13), pediatric solid tumors (ST cohort) (n = 14), and adult Pheochromocytoma/Paraganglioma (PHEO cohort) (n = 40). Both lesion-level and patient-level statistical analyses were conducted to validate the performance of the model on different cohorts. RESULTS: The best performing 3D full resolution nnUNet model achieved a lesion-level sensitivity and DISC of 71.70 % and 0.40 for the test set, 97.83 % and 0.73 for ST, 40.15 % and 0.36 for OS, and 78.37 % and 0.50 for the PHEO cohort. For the test set and PHEO cohort, the model has missed small volume and lower uptake lesions (p < 0.01), whereas no statistically significant differences (p > 0.05) were found in the false positive (FP) and false negative lesions volume and uptake for the OS and ST cohort. The predicted total lesion glycolysis is slightly higher than the ground truth because of FP calls, which experts can easily check and reject. CONCLUSION: The developed deep learning-based automated lesion segmentation AI model which utilizes 3D_FullRes configuration of the nnUNet framework showed promising and reliable performance for the whole-body FDG-PET/CT images.

• MeSH
• celotělové zobrazování * metody   MeSH
• deep learning * MeSH
• dítě MeSH
• dospělí MeSH
• fluorodeoxyglukosa F18 * MeSH
• kohortové studie MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• nádory * diagnostické zobrazování   MeSH
• PET/CT * metody   MeSH
• počítačové zpracování obrazu * metody   MeSH
• Check Tag
• dítě MeSH
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• validační studie MeSH

AIM: This study aimed to investigate the phytochemical composition of Psychotria montana extract (PME) and evaluate its inhibitory effects on MCF7 breast cancer cells. METHODS: The chemical composition of PME was analyzed using UPLC-QToF-MS. The effects of PME on cell proliferation were evaluated using the MTT assay. Flow cytometry was used for cell cycle and apoptosis analysis. The effects of PME on the transcription of cell cycle control genes were assessed using real-time PCR. RESULTS: UPLC-QToF-MS analysis revealed major compounds of PME, including terpenoids and flavonoids, with the potential to inhibit proliferation, migration, and induce apoptosis in MCF7 cancer cells. PME effectively suppressed MCF7 cell proliferation under 2D culture, with a low IC50 value of 34.7 μg/ml. PME also hindered cell migration (p < 0.01) and reduced spheroid number (p < 0.001) and size (p < 0.001) in serum-free 3D culture. Apoptosis analysis via nuclear staining with DAPI and flow cytometry revealed an increase in the number of apoptotic cells after PME treatment (p < 0.001). Additionally, the PME induced cell cycle arrest at the G0/G1 phase (p < 0.05). PME altered the expression of cell cycle control genes (cyclins and CDKs) as well as cancer suppressor genes including p16, p27, and p53 at the transcriptional level (mRNA). The results of molecular docking suggest that the compounds present in PME exhibit a high binding affinity for CDK3, CDK4, CDK6, and CDK8 proteins, which are essential regulators of the cell cycle. CONCLUSION: Psychotria montana has the potential to inhibit cancer cells by inducing apoptosis and halting the cell cycle of MCF7 breast cancer cells.

• MeSH
• apoptóza * účinky léků   MeSH
• buněčný cyklus účinky léků   MeSH
• fytogenní protinádorové látky farmakologie   chemie   MeSH
• lidé MeSH
• MFC-7 buňky MeSH
• nádory prsu * farmakoterapie   patologie   genetika   metabolismus   MeSH
• počítačová simulace MeSH
• pohyb buněk účinky léků   MeSH
• proliferace buněk * účinky léků   MeSH
• Psychotria * chemie   MeSH
• rostlinné extrakty * farmakologie   chemie   MeSH
• simulace molekulového dockingu MeSH
• Check Tag
• lidé MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

The collection on Methods and Models in Mammary Gland Biology and Breast Cancer Research showcases recent advances in tools and models that enhance our understanding of mammary gland development and breast cancer. This collection includes sixteen articles, collectively addressing approaches to investigate key aspects of mammary gland biology and tumorigenesis, including hormonal signaling, tissue architecture, tumor microenvironment, and species-specific mammary development. The issue highlights innovations such as optimized progesterone receptor reporters, improved menopause models, and 3D-printed mammary epithelial structures. It also features advancements in organoid-based studies, in situ labeling of epithelial proliferation in large animals, preclinical models for breast cancer prevention, and high-resolution imaging techniques. Methodologies for studying macrophage-cancer cell interactions and lysosomal function are provided as step-by-step protocols. Additionally, review articles provide insights into diverse mammalian organoid systems, rat mammary tumor models, and strategies for modeling breast cancer metastasis. Together, these contributions advance mammary gland research by refining experimental approaches, expanding model diversity, and fostering translational applications in breast cancer.

• MeSH
• lidé MeSH
• mléčné žlázy lidské * patologie   růst a vývoj   fyziologie   MeSH
• mléčné žlázy zvířat * patologie   růst a vývoj   fyziologie   MeSH
• modely nemocí na zvířatech MeSH
• nádorové mikroprostředí fyziologie   MeSH
• nádory prsu * patologie   MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• ženské pohlaví MeSH
• zvířata MeSH
• Publikační typ
• úvodní články MeSH
• úvodníky MeSH

Interleukin-2-inducible T-cell kinase (ITK) and Bruton's tyrosine kinase (BTK) are two important members of the Tec family with crucial roles in immune system function. Deregulation in ITK and BTK activity is linked to several hematological malignancies, making them key targets for cancer immunotherapy. In this study, we synthesized a series of azaspirooxindolinone derivatives and evaluated their cytotoxic activity against ITK/BTK-negative and positive cancer cell lines, followed by enzymatic inhibition studies to assess the ITK/BTK kinase selectivity of two hit compounds. Several compounds demonstrated selective cytotoxicity against ITK- or BTK-expressing cells. Compound 3d exhibited high cytotoxicity in ITK-positive Jurkat (IC50 = 3.58 μM) and BTK-positive Ramos (IC50 = 3.06 μM) cells, while compound 3j showed strong cytotoxicity in Ramos (IC50 = 1.38 μM) and Jurkat (IC50 = 4.16 μM) cells. Compounds 3a and 3e were selectively cytotoxic in Jurkat cells (IC50 = 9.36 μM and 10.85 μM, respectively), while compounds 3f and 3g were highly cytotoxic in Ramos cells (IC50 = 1.82 μM and 1.42 μM, respectively). None of the active compounds exhibited cytotoxicity in non-cancer cell lines (IC50 > 50 μM), demonstrating their selectivity for malignant cells. Enzyme inhibition assay showed that 3d is a selective ITK inhibitor (IC50 = 0.91 μM) with no detectable BTK inhibition, aligning with its strong activity in ITK-positive cells. In contrast, compound 3j did not inhibit ITK or BTK enzymatically, suggesting an alternative mechanism of action. These findings highlight 3d as a promising ITK inhibitor and warrant further investigation to elucidate its mechanism of action.

• MeSH
• inhibitory proteinkinas * farmakologie   chemická syntéza   chemie   MeSH
• lidé MeSH
• molekulární struktura MeSH
• nádorové buněčné linie MeSH
• oxindoly farmakologie   chemie   chemická syntéza   MeSH
• proliferace buněk účinky léků   MeSH
• proteinkinasa BTK * antagonisté a inhibitory   metabolismus   MeSH
• protinádorové látky * farmakologie   chemická syntéza   chemie   MeSH
• racionální návrh léčiv * MeSH
• screeningové testy protinádorových léčiv * MeSH
• simulace molekulového dockingu MeSH
• spirosloučeniny chemie   farmakologie   chemická syntéza   MeSH
• tyrosinkinasy * antagonisté a inhibitory   metabolismus   MeSH
• vztah mezi dávkou a účinkem léčiva MeSH
• vztahy mezi strukturou a aktivitou MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

AlphaFold is an artificial intelligence approach for predicting the three-dimensional (3D) structures of proteins with atomic accuracy. One challenge that limits the use of AlphaFold models for drug discovery is the correct prediction of folding in the absence of ligands and cofactors, which compromises their direct use. We have previously described the optimization and use of the histone deacetylase 11 (HDAC11) AlphaFold model for the docking of selective inhibitors such as FT895 and SIS17. Based on the predicted binding mode of FT895 in the optimized HDAC11 AlphaFold model, a new scaffold for HDAC11 inhibitors was designed, and the resulting compounds were tested in vitro against various HDAC isoforms. Compound 5a proved to be the most active compound with an IC50 of 365 nM and was able to selectively inhibit HDAC11. Furthermore, docking of 5a showed a binding mode comparable to FT895 but could not adopt any reasonable poses in other HDAC isoforms. We further supported the docking results with molecular dynamics simulations that confirmed the predicted binding mode. 5a also showed promising activity with an EC50 of 3.6 μM on neuroblastoma cells.

• MeSH
• histondeacetylasy * metabolismus   MeSH
• inhibitory histondeacetylas * farmakologie   chemie   chemická syntéza   MeSH
• lidé MeSH
• molekulární struktura MeSH
• nádorové buněčné linie MeSH
• neuroblastom * farmakoterapie   patologie   MeSH
• protinádorové látky * farmakologie   chemie   chemická syntéza   MeSH
• racionální návrh léčiv * MeSH
• simulace molekulární dynamiky MeSH
• simulace molekulového dockingu MeSH
• umělá inteligence MeSH
• vztah mezi dávkou a účinkem léčiva MeSH
• vztahy mezi strukturou a aktivitou MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

Płyta CD to zbiór prac przedstawionych na kongresie poświęconym rehabilitacji i fizjoterapii COVID-19. Przeznaczona dla profesjonalnej publiczności. CD je zborníkom prác prednesených na kongrese, ktorý sa zameral na rehabilitáciu a fyzioterapiu COVID-19. Určené odbornej verejnosti.

• MeSH
• COVID-19 rehabilitace   MeSH
• rehabilitace MeSH
• techniky fyzikální terapie MeSH
• Publikační typ
• kongresy MeSH
• sborníky MeSH
• zprávy MeSH

• Konspekt
• Fyzioterapie. Psychoterapie. Alternativní lékařství
• NLK Obory
• rehabilitační a fyzikální medicína
• pneumologie a ftizeologie
• NLK Publikační typ
• CD-ROM

PURPOSE: Utility of prostate-specific antigen density (PSAd) for risk-stratification to avoid unnecessary biopsy remains unclear due to the lack of standardization of prostate volume estimation. We evaluated the impact of ellipsoidal formula using multiparametric magnetic resonance (MRI) and semi-automated segmentation using tridimensional ultrasound (3D-US) on prostate volume and PSAd estimations as well as the distribution of patients in a risk-adapted table of clinically significant prostate cancer (csPCa). METHODS: In a prospectively maintained database of 4841 patients who underwent MRI-targeted and systematic biopsies, 971 met inclusions criteria. Correlation of volume estimation was assessed by Kendall's correlation coefficient and graphically represented by scatter and Bland-Altman plots. Distribution of csPCa was presented using the Schoots risk-adapted table based on PSAd and PI-RADS score. The model was evaluated using discrimination, calibration plots and decision curve analysis (DCA). RESULTS: Median prostate volume estimation using 3D-US was higher compared to MRI (49cc[IQR 37-68] vs 47cc[IQR 35-66], p < 0.001). Significant correlation between imaging modalities was observed (τ = 0.73[CI 0.7-0.75], p < 0.001). Bland-Altman plot emphasizes the differences in prostate volume estimation. Using the Schoots risk-adapted table, a high risk of csPCa was observed in PI-RADS 2 combined with high PSAd, and in all PI-RADS 4-5. The risk of csPCa was proportional to the PSAd for PI-RADS 3 patients. Good accuracy (AUC of 0.69 and 0.68 using 3D-US and MRI, respectively), adequate calibration and a higher net benefit when using 3D-US for probability thresholds above 25% on DCA. CONCLUSIONS: Prostate volume estimation with semi-automated segmentation using 3D-US should be preferred to the ellipsoidal formula (MRI) when evaluating PSAd and the risk of csPCa.

• MeSH
• hodnocení rizik MeSH
• klinické rozhodování MeSH
• lidé středního věku MeSH
• lidé MeSH
• magnetická rezonanční tomografie metody   MeSH
• multiparametrická magnetická rezonance MeSH
• nádory prostaty * patologie   diagnostické zobrazování   MeSH
• prospektivní studie MeSH
• prostata * patologie   diagnostické zobrazování   MeSH
• prostatický specifický antigen * krev   MeSH
• senioři MeSH
• ultrazvukem navigovaná biopsie metody   MeSH
• velikost orgánu MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH