Juxtaglomerular cell tumor (JxGCT) is a rare type of renal neoplasm demonstrating morphologic overlap with some mesenchymal tumors such as glomus tumor (GT) and solitary fibrous tumor (SFT). Its oncogenic drivers remain elusive, and only a few cases have been analyzed with modern molecular techniques. In prior studies, loss of chromosomes 9 and 11 appeared to be recurrent. Recently, whole-genome analysis identified alterations involving genes of MAPK-RAS pathway in a subset, but no major pathogenic alterations have been discovered in prior whole transcriptome analyses. Considering the limited understanding of the molecular features of JxGCTs, we sought to assess a collaborative series with a multiomic approach to further define the molecular characteristics of this entity. Fifteen tumors morphologically compatible with JxGCTs were evaluated using immunohistochemistry for renin, single-nucleotide polymorphism array (SNP), low-pass whole-genome sequencing, and RNA sequencing (fusion assay). In addition, methylation analysis comparing JxGCT, GT, and SFT was performed. All cases tested with renin (n=11) showed positive staining. Multiple chromosomal abnormalities were identified in all cases analyzed (n=8), with gains of chromosomes 1p, 10, 17, and 19 and losses of chromosomes 9, 11, and 21 being recurrent. A pathogenic HRAS mutation was identified in one case as part of the SNP array analysis. Thirteen tumors were analyzed by RNA sequencing, with 2 revealing in-frame gene fusions: TFG::GPR128 (interpreted as stochastic) and NAB2::STAT6 . The latter, originally diagnosed as JxGCT, was reclassified as SFT and excluded from the series. No fusions were detected in the remaining 11 cases; of note, no case harbored NOTCH fusions previously described in GT. Genomic methylation analysis showed that JxGCT, GT, and SFT form separate clusters, confirming that JxGCT represents a distinct entity (ie, different from GT). The results of our study show that JxGCTs are a distinct tumor type with a recurrent pattern of chromosomal imbalances that may play a role in oncogenesis, with MAPK-RAS pathway activation being likely a driver in a relatively small subset.

• MeSH
• Adult MeSH
• Epigenesis, Genetic MeSH
• Epigenomics MeSH
• Gene Fusion * MeSH
• Genetic Predisposition to Disease MeSH
• Genomics MeSH
• Immunohistochemistry MeSH
• Polymorphism, Single Nucleotide MeSH
• Juxtaglomerular Apparatus pathology   MeSH
• Middle Aged MeSH
• Humans MeSH
• DNA Methylation MeSH
• Biomarkers, Tumor * genetics   MeSH
• Kidney Neoplasms * genetics   pathology   chemistry   MeSH
• Whole Genome Sequencing MeSH
• Aged MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH

A double primary colorectal cancer (CRC) in a familial setting signals a high risk of CRC. In order to identify novel CRC susceptibility genes, we whole-exome sequenced germline DNA from nine persons with a double primary CRC and a family history of CRC. The detected variants were processed by bioinformatics filtering and prioritization, including STRING protein-protein interaction and pathway analysis. A total of 150 missense, 19 stop-gain, 22 frameshift and 13 canonical splice site variants fulfilled our filtering criteria. The STRING analysis identified 20 DNA repair/cell cycle proteins as the main cluster, related to genes CHEK2, EXO1, FAAP24, FANCI, MCPH1, POLL, PRC1, RECQL, RECQL5, RRM2, SHCBP1, SMC2, XRCC1, in addition to CDK18, ENDOV, ZW10 and the known mismatch repair genes. Another STRING network included extracellular matrix genes and TGFβ signaling genes. In the nine whole-exome sequenced patients, eight harbored at least two candidate DNA repair/cell cycle/TGFβ signaling gene variants. The number of families is too small to provide evidence for individual variants but, considering the known role of DNA repair/cell cycle genes in CRC, the clustering of multiple deleterious variants in the present families suggests that these, perhaps jointly, contributed to CRC development in these families.

• MeSH
• Adult MeSH
• Genetic Predisposition to Disease * MeSH
• Colorectal Neoplasms * genetics   MeSH
• Middle Aged MeSH
• Humans MeSH
• DNA Repair genetics   MeSH
• Pedigree MeSH
• Exome Sequencing * methods   MeSH
• Aged MeSH
• Germ-Line Mutation * MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

TFE3 rearrangements characterize histogenetically, topographically, and biologically diverse neoplasms. Besides being a universal defining feature in alveolar soft part sarcoma (ASPS) and clear cell stromal tumor of the lung, TFE3 fusions have been reported in subsets of renal cell carcinoma, perivascular epithelioid cell tumor (PEComa), epithelioid hemangioendothelioma and ossifying fibromyxoid tumors. TFE3 -related neoplasms are rare in the head and neck and may pose diagnostic challenges. We herein describe 22 TFE3 fusion neoplasms affecting 11 males and 11 females aged 4 to 79 years (median, 25) and involving different head and neck sites: sinonasal cavities (n = 8), tongue (n = 4), oral cavity/oropharynx (n = 3), salivary glands (n = 2), orbit (n = 2), and soft tissue or unspecified sites (n = 3). Based on morphology and myomelanocytic immunophenotype, 10 tumors qualified as ASPS, 7 as PEComas (3 melanotic; all sinonasal), and 5 showed intermediate (indeterminate) histology overlapping with ASPS and PEComa. Immunohistochemistry for TFE3 was homogeneously strongly positive in all cases. Targeted RNA sequencing/FISH testing confirmed TFE3 fusions in 14 of 16 successfully tested cases (88%). ASPSCR1 was the most frequent fusion partner in ASPS (4 of 5 cases); one ASPS had a rare VCP::TFE3 fusion. The 6 successfully tested PEComas had known fusion partners as reported in renal cell carcinoma and PEComas ( NONO, PRCC, SFPQ , and PSPC1 ). The indeterminate tumors harbored ASPSCR1::TFE3 (n = 2) and U2AF2::TFE3 (n = 1) fusions, respectively. This large series devoted to TFE3-positive head and neck tumors illustrates the recently proposed morphologic overlap in the spectrum of TFE3 -associated mesenchymal neoplasms. While all PEComas were sinonasal, ASPS was never sinonasal and occurred in diverse head and neck sites with a predilection for the tongue. The indeterminate (PEComa-like) category is molecularly more akin to ASPS but shows different age, sex, and anatomic distribution compared with classic ASPS. We report VCP as a novel fusion partner in ASPS and PSPC1 as a novel TFE3 fusion partner in PEComa (detected in one PEComa). Future studies should shed light on the most appropriate terminological subtyping of these highly overlapping tumors.

• MeSH
• Sarcoma, Alveolar Soft Part * genetics   pathology   MeSH
• Child MeSH
• Adult MeSH
• Phenotype MeSH
• Genetic Predisposition to Disease MeSH
• Gene Rearrangement * MeSH
• In Situ Hybridization, Fluorescence MeSH
• Immunohistochemistry MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Biomarkers, Tumor * genetics   analysis   MeSH
• Head and Neck Neoplasms * genetics   pathology   chemistry   MeSH
• Perivascular Epithelioid Cell Neoplasms * genetics   pathology   chemistry   MeSH
• Child, Preschool MeSH
• Aged MeSH
• Basic Helix-Loop-Helix Leucine Zipper Transcription Factors * genetics   MeSH
• Check Tag
• Child MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Child, Preschool MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with patients having unresectable or metastatic disease at diagnosis, with poor prognosis and very short survival. Given that genetic variation within autophagy-related genes influences autophagic flux and susceptibility to solid cancers, we decided to investigate whether 55,583 single nucleotide polymorphisms (SNPs) within 234 autophagy-related genes could influence the risk of developing PDAC in three large independent cohorts of European ancestry including 12,754 PDAC cases and 324,926 controls. The meta-analysis of these populations identified, for the first time, the association of the BIDrs9604789 variant with an increased risk of developing the disease (ORMeta = 1.31, p = 9.67 × 10-6). We also confirmed the association of TP63rs1515496 and TP63rs35389543 variants with PDAC risk (OR = 0.89, p = 6.27 × 10-8 and OR = 1.16, p = 2.74 × 10-5). Although it is known that BID induces autophagy and TP63 promotes cell growth, cell motility and invasion, we also found that carriers of the TP63rs1515496G allele had increased numbers of FOXP3+ Helios+ T regulatory cells and CD45RA+ T regulatory cells (p = 7.67 × 10-4 and p = 1.56 × 10-3), but also decreased levels of CD4+ T regulatory cells (p = 7.86 × 10-4). These results were in agreement with research suggesting that the TP63rs1515496 variant alters binding sites for FOXA1 and CTCF, which are transcription factors involved in modulating specific subsets of regulatory T cells. In conclusion, this study identifies BID as new susceptibility locus for PDAC and confirms previous studies suggesting that the TP63 gene is involved in the development of PDAC. This study also suggests new pathogenic mechanisms of the TP63 locus in PDAC.

• MeSH
• Autophagy * genetics   MeSH
• White People genetics   MeSH
• Carcinoma, Pancreatic Ductal * genetics   pathology   MeSH
• Forkhead Transcription Factors MeSH
• Genetic Predisposition to Disease * MeSH
• Hepatocyte Nuclear Factor 3-alpha genetics   metabolism   MeSH
• Polymorphism, Single Nucleotide * MeSH
• Cohort Studies MeSH
• Humans MeSH
• Biomarkers, Tumor * genetics   MeSH
• Tumor Suppressor Proteins * genetics   MeSH
• Pancreatic Neoplasms * genetics   pathology   MeSH
• Case-Control Studies MeSH
• Transcription Factors genetics   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Meta-Analysis MeSH

BACKGROUND: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure. METHODS: Using resources from CRC consortia, including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score, including 141 variants associated with CRC risk. RESULTS: There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking (RERI = 0.24, 95% confidence interval [CI] = 0.13, 0.36), ever smoking (0.11 [0.05, 0.16]), high body mass index (female 0.09 [0.05, 0.13], male 0.10 [0.05, 0.14]), or high red meat intake (highest versus lowest quartile 0.18 [0.09, 0.27]) was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/nonsteroidal anti-inflammatory drugs use (-0.16 [-0.20, -0.11]) or higher intake of fruit, fiber, or calcium (highest quartile versus lowest quartile -0.12 [-0.18, -0.050]; -0.16 [-0.23, -0.09]; -0.11 [-0.18, -0.05], respectively) than those with average genetic susceptibility. CONCLUSIONS: Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention.

• MeSH
• Diet MeSH
• Adult MeSH
• Genetic Predisposition to Disease * MeSH
• Body Mass Index MeSH
• Gene-Environment Interaction * MeSH
• Polymorphism, Single Nucleotide MeSH
• Colorectal Neoplasms * genetics   epidemiology   MeSH
• Smoking adverse effects   MeSH
• Middle Aged MeSH
• Humans MeSH
• Logistic Models MeSH
• Alcohol Drinking MeSH
• Risk Factors MeSH
• Aged MeSH
• Case-Control Studies MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Prodromální Parkinsonova nemoc (PN) se projevuje širokou škálou klinických příznaků a biologických markerů, včetně dysfunkce autonomního nervového systému, neuropsychiatrických symptomů, spánkových poruch, hypomimie a dysartrie. Ultrazvuková a scintigrafická vyšetření, genetické varianty (např. GBA1, LRRK2) a detekce patologického α-synukleinu poskytují cenné diagnostické nástroje pro včasnou identifikaci rizikových jedinců. I přes pokroky v diagnostice není k dispozici efektivní léčba v prodromálním stadiu, což vyvolává etické otázky ohledně sdělení prognózy a podpory pacientů. V budoucnu lze očekávat výzkum zaměřený na časnou neuroprotektivní intervenci a validaci biomarkerů.

Prodromal Parkinson's disease (PD) manifests with a wide range of clinical symptoms and biological markers, including autonomic nervous system dysfunction, neuropsychiatric symptoms, sleep disorders, hypomimia, and dysarthria. Ultrasound and scintigraphic examinations, genetic variants (e.g., GBA1, LRRK2), and detection of pathological α-synuclein provide valuable diagnostic tools for early identification of at-risk individuals. Despite advancements in diagnostics, effective treatment for the prodromal stage is unavailable, raising ethical questions regarding prognosis communication and patient support. Future research is expected to focus on early neuroprotective interventions and biomarker validation.

• MeSH
• Anosmia MeSH
• Genetic Predisposition to Disease MeSH
• Humans MeSH
• REM Sleep Parasomnias MeSH
• Parkinson Disease * diagnosis   genetics   MeSH
• Prodromal Symptoms MeSH
• Truth Disclosure ethics   MeSH
• Single Photon Emission Computed Tomography Computed Tomography MeSH
• Check Tag
• Humans MeSH
• Publication type
• Review MeSH

IntroductionStudy aimed to determine the occurrence of 5 thrombosis-related single-nucleotide polymorphisms (SNPs) in patients with venous thromboembolism (VTE) (n = 2630) and a control group (n = 2637) in the Czech population.MethodsThe following gene SNPs were detected in both groups: F5 Leiden (rs6025), F2 (rs1799963), FGG, fibrinogen gamma' (rs2066865), F11 (rs2289252) and ABO (rs8176719). Statistical analysis was performed using SAS statistical software with population genetics tools.ResultsHeterozygotes for F5 Leiden were associated with a 5.58-fold and homozygotes F5 Leiden with a 33.46-fold increased risk of VTE. At SNP rs1799963 (F2, prothrombin), only heterozygotes had a significant 3.9-fold increased risk of VTE. The findings at SNP rs2066865 (fibrinogen gamma', FGG) showed a 1.37-fold increased risk of VTE for FGG heterozygotes and a 1.77-fold increased risk of VTE for FGG homozygotes. There is also a significant 1.42-fold increase risk of VTE in the heterozygotes and a 1.80-fold increase risk of VTE in the homozygotes of the SNP rs 2289252 (F11). Further higher increases in the risk of VTE in both variants were found in patients with VTE at rs8176719 (ABO, non-O). It corresponds to a 2.2-fold increase in the risk of VTE in heterozygotes and a 3.5-fold increase in the risk of VTE in homozygotes.ConclusionBesides F5 Leiden and prothrombin mutation, the study suggests that the gene polymorphisms of FGG (rs2066865), F11 (rs2289252) and ABO (rs8176719) play a role as an independent heritable risk factor for VTE in the Czech population.

• MeSH
• ABO Blood-Group System genetics   MeSH
• Adult MeSH
• Factor V * genetics   MeSH
• Fibrinogen * genetics   MeSH
• Genetic Predisposition to Disease MeSH
• Polymorphism, Single Nucleotide * MeSH
• Middle Aged MeSH
• Humans MeSH
• Prevalence MeSH
• Prothrombin genetics   MeSH
• Aged MeSH
• Venous Thromboembolism * genetics   epidemiology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

DNA damage is a common event in cells, resulting from both internal and external factors. The maintenance of genomic integrity is vital for cellular function and physiological processes. The inadequate repair of DNA damage results in the genomic instability, which has been associated with the development and progression of various human diseases. Accumulation of DNA damage can lead to multiple diseases, such as neurodegenerative disorders, cancers, immune deficiencies, infertility, and ageing. This comprehensive review delves the impact of alterations in DNA damage response genes (DDR) and tries to elucidate how and to what extent the same traits modulate diverse major human diseases, such as cancer, neurodegenerative diseases, and immunological disorders. DDR is apparently the trait connecting important complex disorders in humans. However, the pathogenesis of the above disorders and diseases are different and lead to divergent consequences. It is important to discover the switch(es) that direct further the pathogenic process either to proliferative, or degenerative diseases. Our understanding of the influence of DNA damage on diverse human disorders may enable the development of the strategies to prevent, diagnose, and treat these diseases. In our article, we analysed publicly available GWAS summary statistics from the NHGRI-EBI GWAS Catalog and identified 12 009 single-nucleotide polymorphisms (SNPs) associated with cancer. Among these, 119 SNPs were found in DDR pathways, exhibiting significant P-values. Additionally, we identified 44 SNPs linked to various cancer types and neurodegenerative diseases (NDDs), including four located in DDR-related genes: ATM, CUX2, and WNT3. Furthermore, 402 SNPs were associated with both cancer and immunological disorders, with two found in the DDR gene RAD51B. This highlights the versatility of the DDR pathway in multifactorial diseases. However, the specific mechanisms that regulate DDR to initiate distinct pathogenic processes remain to be elucidated.

• MeSH
• Genome-Wide Association Study MeSH
• Genetic Predisposition to Disease MeSH
• Polymorphism, Single Nucleotide MeSH
• Humans MeSH
• Neoplasms * genetics   MeSH
• Immune System Diseases * genetics   MeSH
• Genomic Instability genetics   MeSH
• Neurodegenerative Diseases * genetics   MeSH
• DNA Repair * genetics   MeSH
• DNA Damage * genetics   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

Pleiotropic variants (i.e. genetic polymorphisms influencing more than one phenotype) are often associated with cancer risk. A scan of pleiotropic variants was successfully conducted 10 years ago in relation to pancreatic ductal adenocarcinoma susceptibility. However, in the last decade, genetic association studies performed on several human traits have greatly increased the number of known pleiotropic variants. Based on the hypothesis that variants already associated with a least one trait have a higher probability of association with other traits, 61 052 variants reported to be associated by at least one genome-wide association study with at least one human trait were tested in the present study consisting of two phases (discovery and validation), comprising a total of 16 055 pancreatic ductal adenocarcinoma (PDAC) cases and 212 149 controls. The meta-analysis of the two phases showed two loci (10q21.1-rs4948550 (P = 6.52 × 10-5) and 7q36.3-rs288762 (P = 3.03 × 10-5) potentially associated with PDAC risk. 10q21.1-rs4948550 shows a high degree of pleiotropy and it is also associated with colorectal cancer risk while 7q36.3-rs288762 is situated 28,558 base pairs upstream of the Sonic Hedgehog (SHH) gene, which is involved in the cell-differentiation process and PDAC etiopathogenesis. In conclusion, none of the single nucleotide polymorphisms (SNPs) showed a formally statistically significant association after correction for multiple testing. However, given their pleiotropic nature and association with various human traits including colorectal cancer, the two SNPs showing the best associations with PDAC risk merit further investigation through fine mapping and ad hoc functional studies.

• MeSH
• Genome-Wide Association Study * MeSH
• Carcinoma, Pancreatic Ductal * genetics   MeSH
• Genetic Pleiotropy * MeSH
• Genetic Predisposition to Disease * MeSH
• Polymorphism, Single Nucleotide * MeSH
• Humans MeSH
• Chromosomes, Human, Pair 10 genetics   MeSH
• Chromosomes, Human, Pair 7 genetics   MeSH
• Pancreatic Neoplasms * genetics   MeSH
• Case-Control Studies MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Meta-Analysis MeSH

Background/Objectives: Several gene targets were identified for psoriasis. Some are currently being explored as potential therapeutic targets, including CCL11. Our task was to prove a possible association of single-nucleotide polymorphisms +67 G/A and -426 T/C in the eotaxin gene (CCL11, 17q 21.3) with the development and clinical aspects of psoriasis as an immune-based dermatological disease and evaluate its relationship to potential comorbidities. Material and Methods: In total, 460 patients with psoriasis were included in the case-control and genotype-phenotype study together with 167 control persons of similar age and sex distributions without a personal and/or family history of chronic disease of the skin. Two eotaxin gene polymorphisms were detected from isolated DNA via standard PCR, restriction analysis methods, and horizontal electrophoresis. Results: No significant case-control differences in the frequency of the CCL11 genotype in both polymorphisms were observed. In polymorphism +67 G/A, a significant increase in the AA genotype in patients with psoriasis guttata compared to plaque psoriasis was found (p = 0.006). A significant association of the A allele in psoriatic patients with a personal history of allergy was found (p = 0.02). The A alle was also significantly associated with a family history of psoriasis (p = 0.00008). In men, a higher risk of a delayed start of psoriasis (later than 40 years) associated with the T allele of -426 T/C polymorphism (p = 0.0007) was found. When double genotypes of both polymorphisms were evaluated, we observed significant differences in double genotype distribution between men with and without a family history of allergy (Pdg = 0.0005) and between those with and without affected siblings (Pdg = 0.03). In women with psoriasis, a higher risk of the TT genotype of -426 T/C polymorphism in patients with a personal history of diabetes (p = 0.001) as well as in patients with both a personal history of cardiovascular disease and diabetes (p = 0.00005) was proved. When double genotypes of both polymorphisms were evaluated, the significance of double genotype difference between those with and without personal history of diabetes was very high (Pdg = 0.0002). Similarly, the significance of the double genotype difference between those with and without personal history of cardiovascular diseases and diabetes was very high (Pdg = 0.000001). Conclusions: CCL11 is considered one of the basic chemokines responsible for the origin and development of immune-based reactions. Based on our results, we suggest that the +67 G/A CCL11 polymorphism should be considered as a gene modulator of psoriasis in specific subgroups of patients.

• MeSH
• Chemokine CCL11 * genetics   MeSH
• Adult MeSH
• Phenotype MeSH
• Gene Frequency MeSH
• Genetic Predisposition to Disease MeSH
• Genetic Association Studies MeSH
• Genotype MeSH
• Polymorphism, Single Nucleotide * MeSH
• Middle Aged MeSH
• Humans MeSH
• Psoriasis * genetics   pathology   MeSH
• Aged MeSH
• Case-Control Studies MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH