• Publikační typ
• abstrakt z konference MeSH

High-grade serous ovarian carcinoma (HGSC) is the most common subtype of ovarian cancer and is among the most fatal gynecological malignancies worldwide, due to late diagnosis at advanced stages and frequent therapy resistance. In 47 HGSC patients, we assessed somatic and germline genetic variability of a custom panel of 144 known or suspected HGSC-related genes by high-coverage targeted DNA sequencing to identify the genetic determinants associated with resistance to platinum-based therapy. In the germline, the most mutated genes were DNAH14 (17%), RAD51B (17%), CFTR (13%), BRCA1 (11%), and RAD51 (11%). Somatically, the most mutated gene was TP53 (98%), followed by CSMD1/2/3 (19/19/36%), and CFTR (23%). Results were compared with those from whole exome sequencing of a similar set of 35 HGSC patients. Somatic variants in TP53 were also validated using GENIE data of 1287 HGSC samples. Our approach showed increased prevalence of high impact somatic and germline mutations, especially those affecting splice sites of TP53, compared to validation datasets. Furthermore, nonsense TP53 somatic mutations were negatively associated with patient survival. Elevated TP53 transcript levels were associated with platinum resistance and presence of TP53 missense mutations, while decreased TP53 levels were found in tumors carrying mutations with predicted high impact, which was confirmed in The Cancer Genome Atlas data (n = 260). Targeted DNA sequencing of TP53 combined with transcript quantification may contribute to the concept of precision oncology of HGSC. Future studies should explore targeting the p53 pathway based on specific mutation types and co-analyze the expression and mutational profiles of other key cancer genes.

• MeSH
• chemorezistence * genetika   MeSH
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mutace MeSH
• nádorový supresorový protein p53 * genetika   MeSH
• nádory vaječníků * genetika   farmakoterapie   patologie   MeSH
• platina terapeutické užití   farmakologie   MeSH
• regulace genové exprese u nádorů MeSH
• sekvenování exomu metody   MeSH
• senioři MeSH
• serózní cystadenokarcinom * genetika   farmakoterapie   patologie   MeSH
• zárodečné mutace MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Pancreatic cancer is a severe malignancy with increasing incidence and high mortality due to late diagnosis and low sensitivity to treatments. Search for the most appropriate drugs and therapeutic regimens is the most promising way to improve the treatment outcomes of the patients. This study aimed to compare (1) in vitro efficacy and (2) in vivo antitumor effects of conventional paclitaxel and the newly synthesized second (SB-T-1216) and third (SB-T-121605 and SB-T-121606) generation taxanes in KRAS wild type BxPC-3 and more aggressive KRAS G12V mutated Paca-44 pancreatic cancer cell line models. In vitro, paclitaxel efficacy was 27.6 ± 1.7 nM, while SB-Ts showed 1.7-7.4 times higher efficacy. Incorporation of SB-T-121605 and SB-T-121606 into in vivo therapeutic regimens containing paclitaxel was effective in suppressing tumor growth in Paca-44 tumor-bearing mice at small doses (≤3 mg/kg). SB-T-121605 and SB-T-121606 in combination with paclitaxel are promising candidates for the next phase of preclinical testing.

• Publikační typ
• časopisecké články MeSH

Long non-coding RNAs (lncRNAs) serve an important role in cancer progression and may be used as efficient molecular biomarkers. The present study aimed to identify lncRNAs associated with the response to the receptor tyrosine kinase inhibitor sunitinib and transcriptome profile and clinical features of metastatic renal cell carcinoma (mRCC). The gene expression of 84 cancer-associated lncRNAs in tumor and non-malignant tissue samples of 38 patients with mRCC was evaluated using quantitative PCR. In addition, the coding transcriptome was estimated using RNA sequencing in a subgroup of 20 patients and mRNA-lncRNA intersections were identified. In total, 37 and 13 lncRNAs were down- and upregulated, respectively, in tumor compared with non-malignant adjacent tissue samples. A total of 10 and 4 lncRNAs were up- and downregulated, respectively, in good responders to sunitinib compared with poor responders. High expression of HNF1A-AS1 and IPW lncRNAs was associated with prolonged progression-free survival of patients and a high expression of the TUSC7 lncRNA was associated with poor response and worse survival. Significant associations of dysregulated MEG3 and SNHG16 lncRNAs with expression of protein-coding genes representing various pathways, were identified. Furthermore, a significantly higher expression of CLIP4 gene was observed in good responders. The present study revealed promising candidates for predictive and prognostic biomarkers with further therapeutic potential.

• Publikační typ
• časopisecké články MeSH

Úvod: Karcinom pankreatu je závažné onkologické onemocnění se stále se zvyšující incidencí a vysokou mírou morbidity a mortality. Terapeutické možnosti jsou limitované a pětileté přežití je 7–20 %, v závislosti na možnosti chirurgické resekce a časnosti záchytu onemocnění. Většina nemocných s touto diagnózou umírá v důsledku rezistence nádorových buněk a mikroprostředí vůči používané léčbě. Metody: V naší práci jsme se zaměřili na zavedení dvou typů in vivo modelů, kterými jsou cell-line derived xenograft (CDX) a patient derived xenograft (PDX). Tyto dva modely se navzájem výrazně liší metodologicky, náročností technickou i finanční, ale i dosaženými výsledky. Výsledky: V pilotní studii se nám podařilo úspěšně zavést CDX model s velmi agresivní a rezistentní linií PaCa-44 karcinomu pankreatu o celkovém počtu 30 jedinců NU/NU myší. Dále jsme vytvořili tři PDX modely s různými subtypy karcinomu pankreatu, pacientů operovaných na Chirurgické klinice FNKV, s jejich následnou retransplantací do dalších generací o celkovém počtu 23 jedinců kmene NOD/SCID a 47 jedinců kmene NU/NU. Zavedené CDX i PDX modely pak slouží k porovnání jak konvenčních, tak experimentálních chemoterapeutických režimů. Závěr: Dalšími kroky bude vyhodnocení vlivu léčebných režimů pomocí zobrazovacích i molekulárně genetických metod a optimalizace celého procesu pro využití v rámci precizní personalizované léčby pacientů s karcinomem pankreatu. Nadcházejícím cílem je vytvořit knihovnu PDX modelů nejčastějšího duktálního adenokarcinomu pankreatu a dalších vzácných subtypů karcinomu pankreatu.

Introduction: Pancreatic cancer is a severe oncological disease with an ever-increasing incidence and a high rate of morbidity and mortality. Therapeutic options are limited and the five-year overall survival rate is 7–20%, depending on the possibility of surgical resection and the earliness of detection. Most patients with this diagnosis die due to the resistance of tumour cells and their microenvironment to the used treatment regimes. Methods: In our study, we focused on the implementation of two in vivo models, which are the cell-line derived xenograft (CDX) and the patient-derived xenograft (PDX). These two models differ significantly from each other methodologically, technically, financially, but also in their achieved results. Results: In a pilot study, we managed to successfully implement the CDX model with a very aggressive and resistant PaCa-44 line of pancreatic cancer in a total of 30 NU/NU strain mice. Furthermore, we created three PDX models with various subtypes of pancreatic cancer from patients operated at the University Hospital Kralovske Vinohrady, Department of General Surgery. These tumours were re-transplanted into subsequent generations of 23 individuals of NOD/SCID strain and 47 NU/NU strain mice. The established CDX and PDX models are then used to compare conventional and experimental chemotherapy regimens. Conclusion: The next steps will be to evaluate the effects of treatment regimens by using imaging and molecular genetic methods and to optimise the entire process for further use in precise personalised medicine for patients with pancreatic cancer. The upcoming goal is to create a library of PDX models of the most common pancreatic ductal adenocarcinoma and other rare subtypes of pancreatic cancer.

• MeSH
• modely nemocí na zvířatech MeSH
• myši nahé MeSH
• nádory slinivky břišní * chirurgie   terapie   MeSH
• zvířata MeSH
• Check Tag
• zvířata MeSH
• Publikační typ
• práce podpořená grantem MeSH

Příručka pro učitele jak přistupovat k dětem s cystickou fibrózou.

• MeSH
• cystická fibróza MeSH
• dítě MeSH
• Check Tag
• dítě MeSH
• Publikační typ
• populární práce MeSH
• příručky MeSH

• Konspekt
• Patologie. Klinická medicína
• NLK Obory
• pneumologie a ftizeologie