"MUNI/A/1558/2023"
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Artificial intelligence (AI) and machine learning (ML) are rapidly advancing fields within computer science, driving significant progress in cancer diagnostics. Various ML models have been developed to assist diagnosis, guide therapy decisions, and facilitate early disease detection. In this review, we discuss diverse AI and ML approaches and critically evaluate their applications and limitations in pancreatic cancer histopathology, diagnostics, and biomarker discovery.
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Multidisciplinary molecular tumor boards (MTB) are already well established in many comprehensive cancer centers and play an important role in the individual treatment planning for cancer patients. Comprehensive genomic profiling of tumor tissue based on next-generation sequencing is currently performed for diagnostic and mainly predictive testing. If somatic genomic variants are identified, which are suspected to be pathogenic germline variants (PGVs), MTB propose genetic counseling and germline DNA testing. Commonly used comprehensive genomic profiling approaches of tumor tissue do not include a matched germline DNA control. Therefore, the detection of PGVs could be only predicted based on the content of tumor cells (CTC) in selected tumor area (%) and variant allele frequency score (%). For conclusion, the role of a medical geneticist is essential in these cases. The overall prevalence of PGVs in patients with pancreatic ductal adenocarcinoma (PDAC) and colorectal cancer (CRC) is approximately 10%. In this single-center study, we present 37 patients with PDAC and 48 patients with CRC who were presented at MTB and tested using the large combined DNA/RNA sequencing panel. Content of tumor cells and variant allele frequency scores were evaluated in all tested patients. In case of suspicion of PGV and no previous genetic testing based on the standard guidelines, genetic counseling was recommended regardless of age, sex, and family history. In the PDAC subgroup, five patients were recommended by MTB for genetic counseling based on suspicious genetic findings. Based on a medical geneticist's decision, germline DNA sequencing was performed in four of these cases, and all of them tested positive for PGV in the following genes: ATM, ATM, BRCA1, and BRCA2. In the CRC subgroup, no PGV was confirmed in the two patients genetically tested based on the MTB recommendations. Furthermore, we present data from our center's registry of patients with PDAC and CRC who underwent genetic counseling and germline DNA testing based on the standard screening criteria. Our data confirm that comprehensive genomic profiling of tumor tissue can identify patients with hereditary forms of PDAC, who could remain unidentified by standard screening for hereditary forms of cancer.
- MeSH
- dospělí MeSH
- duktální karcinom slinivky břišní genetika diagnóza MeSH
- genetické poradenství MeSH
- genetické testování metody MeSH
- genomika metody MeSH
- kolorektální nádory * genetika diagnóza MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádory slinivky břišní * genetika diagnóza MeSH
- náhodný nález MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- vysoce účinné nukleotidové sekvenování metody MeSH
- zárodečné mutace * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
Patient-derived xenografts (PDXs) can be improved by implantation of a humanized niche. Nevertheless, the overall complexity of the current protocols, as well as the use of specific biomaterials and procedures, limits the wider adoption of this approach. Here, we identify the essential minimum steps required to create the humanized scaffolds and achieve successful acute myeloid leukemia (AML) engraftment. We compared seven biomaterials, which included both published and custom-designed materials. The highest level of bone marrow niche was achieved with extracellular matrix gels and custom collagen fiber, both of which allowed for a simple non-surgical implantation. The biomaterial selection did not influence the following AML infiltration. Regarding xenotransplantation, standard intravenous administration produced the most robust engraftment, even for two out of four otherwise non-engrafting AML samples. In contrast, direct intra-scaffold xenotransplantation did not offer any advantage. In summary, we demonstrate that the combination of an injectable biomaterial for scaffold creation plus an intravenous route for AML xenotransplantation provide the most convenient and robust approach to produce AML PDX using a humanized niche.
- MeSH
- akutní myeloidní leukemie * patologie MeSH
- biokompatibilní materiály * farmakologie aplikace a dávkování MeSH
- heterografty MeSH
- lidé MeSH
- myši SCID MeSH
- myši MeSH
- tkáňové podpůrné struktury * chemie MeSH
- transplantace heterologní * MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- myši MeSH
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Biliary drainage is then one of the necessary procedures to help patients suffering from icterus to reduce serum bilirubin levels and relieve symptoms. The aim of this study was identifying risk factors for survival in patients with cholangiocarcinoma (CCA) treated with percutaneous transhepatic biliary drainage (PTBD) and to develop a simple scoring system predicting survival from PTBD insertion. This single-centre retrospective study included 175 consecutive patients undergoing PTBD for extrahepatic CCA (perihilar and distal). Prognostic factors affecting survival of patients with CCA treated with PTBD were analysed. A multivariate analysis showed that mass forming tumor with mass larger than 5 cm and presence of metastasis at the time of PTBD served as a negative prognostic factor (p = 0.002), better survival was associated with lower preprocedural bilirubin and lower CRP (p = 0.003). Multivariate analysis identified two significant risk factors for 3-month mortality: mass-forming tumors and bilirubin levels exceeding 185 μmol/L. A simple scoring system was developed to predict 3-month mortality after PTBD in patients with advanced CCA, demonstrating 86.3% negative predictive value and 43.2% positive predictive value.
- MeSH
- bilirubin krev MeSH
- cholangiokarcinom * mortalita terapie patologie MeSH
- dospělí MeSH
- drenáž * metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádory žlučových cest * mortalita terapie patologie MeSH
- prognóza MeSH
- retrospektivní studie MeSH
- rizikové faktory MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Early identification of resistant cancer cells is currently a major challenge, as their expansion leads to refractoriness. To capture the dynamics of these cells, we made a comprehensive analysis of disease progression and treatment response in a chronic lymphocytic leukemia (CLL) patient using a combination of single-cell and bulk genomic methods. At diagnosis, the patient presented with unfavorable genetic markers, including notch receptor 1 (NOTCH1) mutation and loss(11q). The initial and subsequent treatment lines did not lead to a durable response and the patient developed refractory disease. Refractory CLL cells featured substantial dysregulation in B-cell phenotypic markers such as human leukocyte antigen (HLA) genes, immunoglobulin (IG) genes, CD19 molecule (CD19), membrane spanning 4-domains A1 (MS4A1; previously known as CD20), CD79a molecule (CD79A) and paired box 5 (PAX5), indicating B-cell de-differentiation and disease transformation. We described the clonal evolution and characterized in detail two cell populations that emerged during the refractory disease phase, differing in the presence of high genomic complexity. In addition, we successfully tracked the cells with high genomic complexity back to the time before treatment, where they formed a rare subpopulation. We have confirmed that single-cell RNA sequencing enables the characterization of refractory cells and the monitoring of their development over time.
Overall survival of patients classified according to the European LeukemiaNet 2020 classification. Chronic phase (CP), accelerated phase (AP), blast crisis (BC), low risk (LR), intermediate risk (IR), high risk (HR).
- MeSH
- blastická krize farmakoterapie MeSH
- chronická myeloidní leukemie * farmakoterapie MeSH
- inhibitory proteinkinas terapeutické užití MeSH
- inhibitory tyrosinkinasy * MeSH
- lidé MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- dopisy MeSH
