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
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
Cancer cells display complex genomic aberrations that include large-scale genetic rearrangements and epigenetic modulation that are not easily captured by short-read sequencing. This study presents a novel approach for simultaneous profiling of long-range genetic and epigenetic changes in matched cancer samples, focusing on clear cell renal cell carcinoma (ccRCC). ccRCC is a common kidney cancer subtype frequently characterized by a 3p deletion and the inactivation of the von Hippel-Lindau (VHL) gene. We performed integrated genetic, cytogenetic, and epigenetic analyses on paired tumor and adjacent nontumorous tissue samples. Optical genome mapping identified genomic aberrations as structural and copy number variations, complementing exome-sequencing findings. Single-molecule methylome and hydroxymethylome mapping revealed a significant global reduction in 5hmC level in both sample pairs, and a correlation between both epigenetic signals and gene expression was observed. The single-molecule epigenetic analysis identified numerous differentially modified regions, some implicated in ccRCC pathogenesis, including the genes VHL, PRCC, and PBRM1. Notably, pathways related to metabolism and cancer development were significantly enriched among these differential regions. This study demonstrates the feasibility of integrating optical genome and epigenome mapping for comprehensive characterization of matched tumor and adjacent tissue, uncovering both established and novel somatic aberrations.
- MeSH
- DNA-Binding Proteins MeSH
- Epigenesis, Genetic * genetics MeSH
- Epigenome * genetics MeSH
- Carcinoma, Renal Cell * genetics pathology MeSH
- Middle Aged MeSH
- Humans MeSH
- Chromosome Mapping methods MeSH
- DNA Methylation * genetics MeSH
- Von Hippel-Lindau Tumor Suppressor Protein genetics MeSH
- Kidney Neoplasms * genetics pathology MeSH
- Gene Expression Regulation, Neoplastic MeSH
- Transcription Factors MeSH
- DNA Copy Number Variations * genetics MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural 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
BACKGROUND: Cardiac allograft vasculopathy (CAV) is an accelerated form of coronary artery disease (CAD) that is characterized by concentric fibrous intimal hyperplasia along the length of coronary vessels, and is recognized as long-term complication after heart transplantation. The chromosomal loci 9p21, 6q25.1, and 2q36.3, represented by their respective leading variants rs10757274, rs6922269 and rs2943634, have been linked with a history of CAD by genome-wide association studies. We aimed to investigate the associations of genetic variants at the loci 9p21, 6q25.1, and 2q36.3 with CAV as genetic risk factors for early prediction. METHODS: Genomic DNA was extracted from paired aortic samples of 727 heart recipients (average age 50.8 ± 12.2 years; 21.3% women) and corresponding donors (average age 39.7 ± 12.0 years; 26.1% women). The variants within the loci 9p21, 6q25.1, and 2q36.3 were genotyped using PCR-RFLP. RESULTS: The recipients' variants of 9p21 (OR 1.97; 95% CI, 1.21-3.19 for GG vs. +A comparison, p = 0.0056) and 2q36.3 (OR 2.46; 95% CI, 1.12-6.17 for +C vs. AA comparison, p = 0.0186) were associated with higher incidence of CAV during the first year following heart transplantation. No such association was found for donor genotypes. CONCLUSIONS: Our data suggest that variants at the locus 9p21 (rs10757274) and 2q36.3 (rs2943634) are associated with early CAV development.
- MeSH
- Allografts * MeSH
- Genome-Wide Association Study MeSH
- Adult MeSH
- Genetic Predisposition to Disease MeSH
- Polymorphism, Single Nucleotide MeSH
- Middle Aged MeSH
- Humans MeSH
- Chromosomes, Human, Pair 2 genetics MeSH
- Chromosomes, Human, Pair 6 genetics MeSH
- Chromosomes, Human, Pair 9 genetics MeSH
- Coronary Artery Disease * genetics pathology etiology MeSH
- Heart Transplantation * adverse effects MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
BACKGROUND: This cross-sectional study investigated the relationship between genetic variations in monocarboxylate transporter genes and blood lactate production and removal after high-intensity efforts in humans. The study was conducted to explore how genetic variations in the MCT1, MCT2, and MCT4 genes influenced lactate dynamics and to advance the field of sports genetics by pinpointing critical genetic markers that can enhance athletic performance and recovery. METHODS: 337 male athletes from Poland and the Czech Republic underwent two intermittent all-out Wingate tests. Before the tests, DNA samples were taken from each participant, and SNP (single nucleotide polymorphism) analysis was carried out. Two intermittent all-out tests were implemented, and lactate concentrations were assessed before and after these tests. RESULTS: Sprinters more frequently exhibited the haplotype TAC in the MCT2 gene, which was associated with an increase in the difference between maximum lactate and final lactate concentration. Additionally, this haplotype was linked to higher maximum lactate concentration and was more frequently observed in sprinters. The genotypic interactions AG/T- and GGxT- (MCT1 rs3789592 x MCT4 rs11323780), TTxTT (MCT1 rs12028967 x MCT2 rs3763979), and MCT1 rs7556664 x MCT4 rs11323780 were all associated with an increase in the difference between maximum lactate concentration and final lactate concentration. Conversely, the AGxGG (MCT1 rs3789592 x MCT2 rs995343) interaction was linked to a decrease in this difference. The relationship between maximum lactate concentration and genotypic interactions can be observed as follows: when ATxTT (MCT2 rs3763980 x MCT4 rs11323780) or CTxCT (MCT1 rs10857983 x MCT2 rs3763979) genotypic combinations are present, it leads to a decrease in maximum lactate concentration. Similarly, the combination of CTxCT (MCT1 rs4301628 x MCT2 rs3763979), CT x TT (MCT1 rs4301628 x MCT4 rs11323780), and CTxTT (MCT1 rs4301628 x MCT2 rs3763979) results in decreased maximum lactate concentration. CONCLUSIONS: The TAC haplotype (rs3763980, rs995343, rs3763979) in the MCT2 gene is associated with altered lactate clearance in sprinters, potentially affecting performance and recovery by elevating post-exercise lactate concentrations. While MCT4 rs11323780 is also identified as a significant variant in lactate metabolism, suggesting its role as a biomarker for sprinting performance, further investigation is necessary to clarify underlying mechanisms and consider additional factors. Based on elite male athletes from Poland and the Czech Republic, the study may not generalize to all sprinters or diverse athletic populations. Although genetic variants show promise as biomarkers for sprinting success, athletic performance is influenced by a complex interplay of genetics, environment, and training extending beyond MCT genes.
- MeSH
- Adult MeSH
- Genotype MeSH
- Haplotypes * MeSH
- Polymorphism, Single Nucleotide * MeSH
- Kinetics MeSH
- Lactic Acid * blood metabolism MeSH
- Humans MeSH
- Young Adult MeSH
- Monocarboxylic Acid Transporters * genetics metabolism MeSH
- Cross-Sectional Studies MeSH
- Athletes MeSH
- Muscle Proteins * genetics metabolism MeSH
- Symporters * genetics metabolism MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Publication type
- Journal Article MeSH
RNA secondary (2D) structure visualization is an essential tool for understanding RNA function. R2DT is a software package designed to visualize RNA 2D structures in consistent, recognizable, and reproducible layouts. The latest release, R2DT 2.0, introduces multiple significant features, including the ability to display position-specific information, such as single nucleotide polymorphisms or SHAPE reactivities. It also offers a new template-free mode allowing visualization of RNAs without pre-existing templates, alongside a constrained folding mode and support for animated visualizations. Users can interactively modify R2DT diagrams, either manually or using natural language prompts, to generate new templates or create publication-quality images. Additionally, R2DT features faster performance, an expanded template library, and a growing collection of compatible tools and utilities. Already integrated into multiple biological databases, R2DT has evolved into a comprehensive platform for RNA 2D visualization, accessible at https://r2dt.bio.
Quantitative genomic mapping of DNA damage may provide insights into the underlying mechanisms of damage and repair. Sequencing based approaches are bound to the limitations of PCR amplification bias and read length which hamper both the accurate quantitation of damage events and the ability to map them to structurally complex genomic regions. Optical Genome mapping in arrays of parallel nanochannels allows physical extension and genetic profiling of millions of long genomic DNA fragments, and has matured to clinical utility for characterization of complex structural aberrations in cancer genomes. Here we present a new mapping modality, Repair-Assisted Damage Detection - Optical Genome Mapping (RADD-OGM), a method for single-molecule level mapping of DNA damage on a genome-wide scale. Leveraging ultra-long reads to assemble the complex structure of a sarcoma cell-line genome, we mapped the genomic distribution of oxidative DNA damage, identifying regions more susceptible to DNA oxidation. We also investigated DNA repair by allowing cells to repair chemically induced DNA damage, pinpointing locations of concentrated repair activity, and highlighting variations in repair efficiency. Our results showcase the potential of the method for toxicogenomic studies, mapping the effect of DNA damaging agents such as drugs and radiation, as well as following specific DNA repair pathways by selective induction of DNA damage. The facile integration with optical genome mapping enables performing such analyses even in highly rearranged genomes such as those common in many cancers, a challenging task for sequencing-based approaches.
- MeSH
- Bromates toxicity MeSH
- Humans MeSH
- Chromosome Mapping * instrumentation methods MeSH
- Microfluidic Analytical Techniques * instrumentation methods MeSH
- Cell Line, Tumor MeSH
- Nanotechnology * instrumentation methods MeSH
- DNA Repair genetics MeSH
- Oxidative Stress drug effects genetics MeSH
- DNA Damage * genetics MeSH
- Gene Expression Regulation MeSH
- Gene Expression Profiling MeSH
- Toxicogenetics * instrumentation methods MeSH
- DNA Copy Number Variations MeSH
- Single Molecule Imaging * instrumentation methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
PURPOSE: A new high-resolution next-generation sequencing (NGS)-based method was established to type closely related European type II Toxoplasma gondii strains. METHODS: T. gondii field isolates were collected from different parts of Europe and assessed by whole genome sequencing (WGS). In comparison to ME49 (a type II reference strain), highly polymorphic regions (HPRs) were identified, showing a considerable number of single nucleotide polymorphisms (SNPs). After confirmation by Sanger sequencing, 18 HPRs were used to design a primer panel for multiplex PCR to establish a multilocus Ion AmpliSeq typing method. Toxoplasma gondii isolates and T. gondii present in clinical samples were typed with the new method. The sensitivity of the method was tested with serially diluted reference DNA samples. RESULTS: Among type II specimens, the method could differentiate the same number of haplotypes as the reference standard, microsatellite (MS) typing. Passages of the same isolates and specimens originating from abortion outbreaks were identified as identical. In addition, seven different genotypes, two atypical and two recombinant specimens were clearly distinguished from each other by the method. Furthermore, almost all SNPs detected by the Ion AmpliSeq method corresponded to those expected based on WGS. By testing serially diluted DNA samples, the method exhibited a similar analytical sensitivity as MS typing. CONCLUSION: The new method can distinguish different T. gondii genotypes and detect intra-genotype variability among European type II T. gondii strains. Furthermore, with WGS data additional target regions can be added to the method to potentially increase typing resolution.
- MeSH
- Genetic Variation MeSH
- Genotype MeSH
- Humans MeSH
- Multiplex Polymerase Chain Reaction MeSH
- Polymorphism, Restriction Fragment Length MeSH
- DNA, Protozoan genetics MeSH
- Pregnancy MeSH
- Toxoplasma * genetics MeSH
- High-Throughput Nucleotide Sequencing MeSH
- Check Tag
- Humans MeSH
- Pregnancy MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
Dedifferentiated and undifferentiated ovarian carcinomas (DDOC/UDOC) are rare neoplasms defined by the presence of an undifferentiated carcinoma. In this study, we detailed the clinical, pathological, immunohistochemical, and molecular features of a series of DDOC/UDOC. We collected a multi-institutional cohort of 23 DDOC/UDOC and performed immunohistochemistry for core switch/sucrose nonfermentable (SWI/SNF) complex proteins (ARID1A, ARID1B, SMARCA4, and SMARCB1), mismatch repair (MMR) proteins, and p53. Array-based genome-wide DNA methylation and copy number variation analyses were performed on a subset of cases with comparison made to a previously reported cohort of undifferentiated endometrial carcinoma (UDEC), small cell carcinoma of the ovary, hypercalcemic type (SCCOHT), and tubo-ovarian high-grade serous carcinoma (HGSC). The age of all 23 patients with DDOC/UDOC ranged between 22 and 71 years (with an average age of 50 years), and a majority of them presented with extraovarian disease (16/23). Clinical follow-up was available for 19 patients. Except for 2 patients, the remaining 17 patients died from disease, with rapid disease progression resulting in mortality within a year in stage II-IV settings (median disease-specific survival of 3 months). Eighteen of 22 cases with interpretable immunohistochemistry results showed loss of expression of core SWI/SNF protein(s) that are expected to result in SWI/SNF complex inactivation as 10 exhibited coloss of ARID1A and ARID1B, 7 loss of SMARCA4, and 1 loss of SMARCB1. Six of 23 cases were MMR-deficient. Two of 20 cases exhibited mutation-type p53 immunoreactivity. Methylation profiles showed coclustering of DDOC/UDOC with UDEC, which collectively were distinct from SCCOHT and HGSC. However, DDOC/UDOC showed an intermediate degree of copy number variation, which was slightly greater, compared with SCCOHT but much less compared with HGSC. Overall, DDOC/UDOC, like its endometrial counterpart, is highly aggressive and is characterized by frequent inactivation of core SWI/SNF complex proteins and MMR deficiency. Its molecular profile overlaps with UDEC while being distinct from SCCOHT and HGSC.
- MeSH
- Neoplastic Syndromes, Hereditary * MeSH
- DNA Helicases genetics metabolism MeSH
- Adult MeSH
- Carcinoma, Ovarian Epithelial MeSH
- Nuclear Proteins genetics MeSH
- Carcinoma * pathology MeSH
- Colorectal Neoplasms * MeSH
- Middle Aged MeSH
- Humans MeSH
- Carcinoma, Small Cell * MeSH
- Young Adult MeSH
- Biomarkers, Tumor genetics metabolism MeSH
- Tumor Suppressor Protein p53 genetics MeSH
- Endometrial Neoplasms * pathology MeSH
- Brain Neoplasms * MeSH
- Ovarian Neoplasms * genetics pathology MeSH
- Aged MeSH
- Transcription Factors genetics metabolism MeSH
- DNA Copy Number Variations MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
