No abstract

IntroductionRenal cell cancer (RCC) syndrome is linked to Krebs cycle compartments and their coding genes' alterations like succinate dehydrogenase genes (SDHx). Here we present a systematic review of the SDH genes’ mutations and their impact on both RCC diagnosis and prognosis.MethodsThis systematic review includes any study in which tissue samples of RCC are considered in correlation with the SDHx mutations, microsatellite instability (MSI), and protein expression. For this purpose, a systematic search of MEDLINE (PubMed), Scopus, Embase, and Web of Science databases was conducted and finally 5384 articles were recruited. All studies' content was checked to find the related ones which were 145 articles, which with data extraction were limited to nineteen.ResultsThe final selected nineteen studies investigating the SDHx role in RCC tumor genesis were included, among which fifteen were mutation analysis, three were just SDHx protein expression, and two were MSI and mutation analysis studies. A total of 432 RCC patients were reported by SDH mutations, and 64 patients with MSI and SDH expression change were reported in 514 surgically resected renal epithelial tumors. The most common mutation was the single nucleotide variant rs772551056 (c.137G>A) of SDHB. For SDHC, c.380A>G presented in 48 RCC patients, and for SDHA a novel germline mutation c.2T>C: p.M1T in an occasional case of gastrointestinal stromal tumor intricate with RCC.ConclusionRCC as an aggressive type of kidney cancer needs some biomarkers to be diagnosed exactly. It was shown recently that the succinate dehydrogenase gene variations can provide this diagnostic and prognostic biomarker. For this purpose, SDHB rs772551056 associated with its protein expression alterations can be taken into account. It is possible that a novel mutation of SDHA (c.2T>C: p.M1T) can provide evidence of GIST associated with RCC as well.

Although, current in vitro models have played important roles in improving knowledge and understanding of cellular and molecular biology, but they cannot exactly recapitulate the physiology of human tissues such as thyroid. In this article, we conducted a systematic review to present scientific and methodological time-trends of the reconstruction and generation of 3D functional thyroid follicles and organoids for thyroid research in health and disease. "Web of Science (ISI)", "Scopus", "Embase", "Cochrane Library", and "PubMed" were systematically searched for papers published since 1950 to May 2020 in English language, using the predefined keywords. 212 articles were reviewed and finally 28 papers that met the inclusion and exclusion criteria were selected. Among a lot of evidence for the examination of 3D cell culture methods in thyroid research, there were only a few studies related to the organoid technology and its potential applications in understanding morphological, histological, and physiological characteristics of the thyroid gland and reconstructing this tissue. Besides, there was no study using organoids to investigate the tumorigenesis process of thyroid. Based on the results of this study, despite all the limitations and controversies, the exciting and promising organoid technology offers researchers a wide range of potential applications for more accurate modeling of thyroid in health and diseases and provides an excellent preclinical in vitro platform. In future, organoid technology can provide a better understanding of the molecular mechanisms of pathogenesis and tumorigenesis of thyroid tissue and more effective treatment for related disorders due to more accurate simulation of the thyroid physiology.

No abstract

The increasing body of evidence for the relationship between the vascular endothelial growth factor (VEGF) polymorphism and autoimmune disorders combined with the enhanced expression of this angiogenic factor in vitiligo makes VEGF a very interesting candidate gene to be investigated in vitiligo. The aim of this study was to evaluate the possible associations between the +405 G/C single nucleotide polymorphisms (SNP) of the VEGF gene (rs2010963) and vitiligo. The independent case–control population sample of 152 patients with vitiligo and 152 matched controls was evaluated in this study. A questionnaire was completed for each vitiligo patient to document the demographic and clinical characteristics of the patients. All enrolled individuals had a venous blood sample collected. Genotype frequencies for +405 G/C VEGF gene polymorphism were determined using polymerase chain reaction (PCR) amplification and restriction fragment length polymorphism (RFLP) analysis. There were no significant differences in genotype or allele distributions for this SNP between cases and controls. However, we observed a significant association between GG genotype and higher age at onset of vitiligo (p = 0.04). Moreover, patients stratification revealed a significant increase in the frequency of GG genotype compared to CC + CG genotypes in patients with the late onset (≥20 years) vitiligo (p = 0.05). Although these results are not conclusive, they could potentially lead to considering the angiogenic factors as a potential target for therapy in late‐onset vitiligo.