LncRNA–miRNA–mRNA Networks of Gastrointestinal Cancers Representing Common and Specific LncRNAs and mRNAs

Gastrointestinal (GI) cancers are responsible for approximately half of cancer-related deaths, highlighting the need for the identification of distinct and common features in their clinicopathological characteristics. Long ncRNA (lncRNAs), which are involved in competitive endogenous RNA (ceRNA) networks with critical roles in biological processes, constitute a substantial number of non-coding RNAs. Therefore, our study aimed to investigate the similarities and differences in the ceRNA networks of The Cancer Genome Atlas (TCGA)-GI cancers. We performed a comprehensive bioinformatics analysis of ceRNA networks for TCGA-GI cancers in terms of the deferential mRNA, lncRNA, and miRNA expression levels, ceRNA networks, overall survival analysis, correlation analysis, pathological cancer stages, and gene set enrichment analysis. Our study revealed several common and distinct mRNAs and lncRNAs with prognostic values in these networks. It was specifically noteworthy that MAGI2-AS3 lncRNA was found to be shared in almost all GI cancers. Moreover, the most common shared mRNAs between GI cancers were MEIS1, PPP1R3C, ADAMTSL3, RIPOR2, and MYLK. For each cancer ceRNA network, we found that the expression level of a number of lncRNAs and mRNAs was specific. Furthermore, our study provided compelling evidence that several genes, most notably KDELC1, can act as novel proto-oncogenes in cancers. This, in turn, can highlight their role as new prognostic and therapeutic targets. Moreover, we found cell cycle and extracellular matrix structural constituent as the top shared KEGG and molecular function, respectively, among GI cancers. Our study revealed several known lncRNAs and known and unknown mRNAs in GI cancers with diagnostic and prognostic value

DNA Sequence Fragment Containing C to A Mutation as a Convenient Mutation Standard for DHPLC Analysis

Objective(s):  Denaturing high performance liquid chromatography (DHPLC) is a high throughput approach for screening DNA sequence variations. To assess oven calibration, cartridge performance, buffer composition and stability, the WAVE Low and High Range Mutation Standards are employed to ensure reproducibility and accuracy of the chromatographic analysis. The purpose of this study was to provide a cost-effective homemade mutation standard for DHPLC analysis. Materials and Methods: DHPLC was performed to evaluate different elution temperatures of a 374 bp DNA fragment with C>A mutation at position of 59 to achieve a peak profile similar to the Low Mutation Standard. In order to verify the reproducibility of the homemade mutation standard using DHPLC, 15 different experiments were performed to compare the homemade mutation standard, the WAVE Low Range Mutation Standard with a positive DNA control sample. Results:We identified a comparable elution temperature and a peak profile with the WAVE Low Range Mutation Standard. Conclusion: This study confirmed the reproducibility of the peak profile of our homemade mutation standard compared to the Low Mutation Standard using DHPLC analysis

A Comprehensive Bioinformatics Analysis of <i>UBE2C</i> in Cancers

Ubiquitination is one of the main post-translational modification of proteins. It plays key roles in a broad range of cellular functions, including protein degradation, protein interactions, and subcellular location. In the ubiquitination system, different proteins are involved and their dysregulation can lead to various human diseases, including cancers. By using data available from the Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases, we here show that the ubiquitin conjugating enzyme, E2C (UBE2C), is overexpressed in all 27 cancers we investigated. UBE2C expression is significantly higher in late-stage tumors, which might indicate its involvement in tumor progression and invasion. This study also revealed that patients with higher UBE2C levels showed a shorter overall survival (OS) time and worse OS prognosis. Moreover, our data show that UBE2C higher-expression leads to worse disease-free survival prognosis (DFS), indicating that UBE2C overexpression correlates with poor clinical outcomes. We also identified genes with positive correlations with UBE2C in several cancers. We found a number of poorly studied genes (family with sequence similarity 72-member D, FAM72D; meiotic nuclear divisions 1, MND1; mitochondrial fission regulator 2, MTFR2; and POC1 centriolar protein A, POC1A) whose expression correlates with UBE2C. These genes might be considered as new targets for cancers therapies since they showed overexpression in several cancers and correlate with worse OS prognosis

Novel mutations in PANK2 and PLA2G6 genes in patients with neurodegenerative disorders: two case reports

Abstract Background Neurodegeneration with brain iron accumulation (NBIA) is a genetically heterogeneous group of disorders associated with progressive impairment of movement, vision, and cognition. The disease is initially diagnosed on the basis of changes in brain magnetic resonance imaging which indicate an abnormal brain iron accumulation in the basal ganglia. However, the diagnosis of specific types should be based on both clinical findings and molecular genetic testing for genes associated with different types of NBIA, including PANK2, PLA2G6, C19orf12, FA2H, ATP13A2, WDR45, COASY, FTL, CP, and DCAF17. The purpose of this study was to investigate disease-causing mutations in two patients with distinct NBIA disorders. Case presentation Whole Exome sequencing using Next Generation Illumina Sequencing was used to enrich all exons of protein-coding genes as well as some other important genomic regions in these two affected patients. A deleterious homozygous four-nucleotide deletion causing frameshift deletion in PANK2 gene (c.1426_1429delATGA, p.M476 fs) was identified in an 8 years old girl with dystonia, bone fracture, muscle rigidity, abnormal movement, lack of coordination and chorea. In addition, our study revealed a novel missense mutation in PLA2G6 gene (c.3G > T:p.M1I) in one and half-year-old boy with muscle weakness and neurodevelopmental regression (speech, motor and cognition). The novel mutations were also confirmed by Sanger sequencing in the proband and their parents. Conclusions Current study uncovered two rare novel mutations in PANK2 and PLA2G6 genes in patients with NBIA disorder and such studies may help to conduct genetic counseling and prenatal diagnosis more accurately for individuals at the high risk of these types of disorders

Autophagy: The Potential Link between SARS-CoV-2 and Cancer

COVID-19 infection survivors suffer from a constellation of symptoms referred to as post-acute COVID-19 syndrome. However, in the wake of recent evidence highlighting the long-term persistence of SARS-CoV-2 antigens in tissues and emerging information regarding the interaction between SARS-CoV-2 proteins and various components of the host cell macroautophagy/autophagy machinery, the unforeseen long-term consequences of this infection, such as increased risk of malignancies, should be explored. Although SARS-CoV-2 is not considered an oncogenic virus, the possibility of increased risk of cancer among COVID-19 survivors cannot be ruled out. Herein, we provide an overview of the possible mechanisms leading to cancer development, particularly obesity-related cancers (e.g., colorectal cancer), resulting from defects in autophagy and the blockade of the autophagic flux, and also immune escape in COVID-19 survivors. We also highlight the potential long-term implications of COVID-19 infection in the prognosis of patients with cancer and their response to different cancer treatments. Finally, we consider future directions for further investigations on this matter

Investigating the association between common DRD2/ANKK1 genetic polymorphisms and schizophrenia: a meta-analysis

Genetic factors play an important role in the pathogenesis of schizophrenia. Dysregulations in the dopaminergic system have long been known to play an influential role in the development of this disorder. Although a large number of studies have investigated the association between genetic polymorphisms in the genes involved in this system and the risk of schizophrenia, the results have been inconsistent. In this meta-analysis, we searched for publications in Ovid Medline, Embase, Web of Science (science citation index expanded), and PsycNET for articles published until January 2020. We identified case–control studies investigating the association between four common genetic polymorphisms (rs6277, rs1799732, rs1800497, and rs1801028) and the risk of schizophrenia. The studies were subsequently selected according to the predefined inclusion and exclusion criteria. The data extraction was conducted according to the PRISMA guidelines. We also assessed the quality of the studies and investigated publication bias using funnel plot and Egger’s regression test. The association analysis was conducted in allelic, dominant, and recessive genetic models. Subsequently, bioinformatics analysis of the effect of the polymorphisms found to be significantly associated with schizophrenia on protein stability, posttranslational modifications, and 3D protein structure was conducted. This meta-analysis showed that Taq1A (allelic model: OR, 0.856, 95% CI, 0.734–0.998) has a protective effect against the development of schizophrenia. Further, it was found that this variant may decrease ANKK1 protein stability. Further, this polymorphism was found to lead to the gain of modifications sites for ubiquitination (Ubi. score = −1.894) and methylation (Meth. score = −0.834). Several genetic factors contribute to the susceptibility of schizophrenia. The updated knowledge emerging from this meta-analysis showing the protective effect of rs1800497 polymorphism (Taq1A) can shed light on the role of Taq1A polymorphism in the susceptibility to schizophrenia and also pave way for further functional studies investigating the role of ANKK1 protein in the pathogenesis of schizophrenia

A Novel Mutation in ERCC8 Gene Causing Cockayne Syndrome

Cockayne syndrome (CS) is a rare autosomal recessive multisystem disorder characterized by impaired neurological and sensory functions, cachectic dwarfism, microcephaly, and photosensitivity. This syndrome shows a variable age of onset and rate of progression, and its phenotypic spectrum include a wide range of severity. Due to the progressive nature of this disorder, diagnosis can be more important when additional signs and symptoms appear gradually and become steadily worse over time. Therefore, mutation analysis of genes involved in CS pathogenesis can be helpful to confirm the suspected clinical diagnosis. Here, we report a novel mutation in ERCC8 gene in a 16-year-old boy who suffers from poor weight gain, short stature, microcephaly, intellectual disability, and photosensitivity. The patient was born to consanguineous family with no previous documented disease in his parents. To identify disease-causing mutation in the patient, whole exome sequencing utilizing next-generation sequencing on an Illumina HiSeq 2000 platform was performed. Results revealed a novel homozygote mutation in ERCC8 gene (NM_000082: exon 11, c.1122G>C) in our patient. Another gene ( ERCC6 ), which is also involved in CS did not have any disease-causing mutations in the proband. The new identified mutation was then confirmed by Sanger sequencing in the proband, his parents, and extended family members, confirming co-segregation with the disease. In addition, different bioinformatics programs which included MutationTaster, I-Mutant v2.0, NNSplice, Combined Annotation Dependent Depletion, The PhastCons, Genomic Evolutationary Rate Profiling conservation score, and T-Coffee Multiple Sequence Alignment predicted the pathogenicity of the mutation. Our study identified a rare novel mutation in ERCC8 gene and help to provide accurate genetic counseling and prenatal diagnosis to minimize new affected individuals in this family