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Research on m 6 A-associated SNPs (m 6 A-SNPs) has emerged recently due to their possible critical roles in many key biological processes. In this sense, several investigations have identified m 6 A-SNPs in different diseases. In order to gain a more complete understanding of the role that m 6 A-SNPs can play in breast cancer, we performed an in silico analysis to identify the m 6 A-SNPs associated with breast cancer and to evaluate their possible effects. For this purpose, we downloaded SNPs related to breast cancer and a list of m 6 A-SNPs from public databases in order to identify which ones appear in both. Subsequently, we assessed the identified m 6 A-SNPs in silico by expression quantitative trait loci (eQTL) analysis and differential gene expression analysis. We genotyped the m 6 A-SNPs found in the in silico analysis in 35 patients with breast cancer, and we carried out a gene expression analysis experimentally on those that showed differences. Our results identified 981 m 6 A-SNPs related to breast cancer. Four m 6 A-SNPs showed an eQTL effect and only three were in genes that presented an altered gene expression. When the three m 6 A-SNPs were evaluated in the tissue sample of our breast cancer patients, only the m 6 A-SNP rs76563149 located in ZNF354A gene presented differences in allele frequencies and a low gene expression in breast cancer tissues, especially in luminal B HER2+ subtype. Future investigations of these m 6 A-SNPs should expand the study in different ethnic groups and increase the sample sizes to test their association with breast cancer and elucidate their molecular function.

X-linked intellectual disability (XLID) is known to explain up to 10% of the intellectual disability in males. A large number of families in which intellectual disability is the only clinically consistent manifestation have been described. While linkage analysis and candidate gene testing were the initial approaches to find genes and variants, next generation sequencing (NGS) has accelerated the discovery of more and more XLID genes. Using NGS, we resolved the genetic cause of MRX82 (OMIM number 300518), a large Spanish Basque family with five affected males with intellectual disability and a wide phenotypic variability among them despite having the same pathogenic variant. Although the previous linkage study had mapped the locus to an interval of 7.6Mb in Xq24-Xq25 of the X chromosome, this region contained too many candidate genes to be analysed using conventional approaches. NGS revealed a novel nonsense variant: c.118C > T; p.Gln40* in UPF3B , a gene previously implicated in XLID that encodes a protein involved in nonsense-mediated mRNA decay (NMD). Further molecular studies showed that the mRNA transcript was not completely degraded by NMD. However, UPF3B protein was not detected by conventional Western Blot analysis at least downstream of the 40 residue demonstrating that the phenotype could be due to the loss of functional protein. This is the first report of a premature termination codon before the three functional domains of the UPF3B protein and these results directly implicate the absence of these domains with XLID, autism and some dysmorphic features., (Copyright © 2019 Tejada, Villate, Ibarluzea, de la Hoz, Martínez-Bouzas, Beristain, Martínez, Friez, Sobrino and Barros.)

Background: Gastrointestinal stromal tumors (GISTs) represent the most frequent mesenchymal tumor of the gastrointestinal tract. Less than 5% of them seem to be hereditary, being succinate dehydrogenase complex ( SDHx ) deficient disorders and neurofibromatosis type 1 the more related inherited conditions. Wild type (WT) KIT and PDGFRα GISTs constitute a clue for a hypothetical underlying germline condition., Case Presentation: We present a case of a 20 years old female diagnosed of a gastric WT GIST who developed hepatic metastases during her clinical course. No significant or typical phenotypic features suggestive of a specific syndrome were detected by physical examination. Also, her family history seemed to be irrelevant, since no other cases of GISTs, paragangliomas or pheochromocytomas were reported. Her paternal grandfather died as a consequence of a pituitary adenoma. In light of the age of tumor presentation and somatic features of gastric GIST, we performed genetic testing of SDHx genes. Analysis obtained from peripheral blood sample revealed the presence, in heterozygous state, of the c.1A > C; p.(Met1?) pathogenic variant in the SDHA ., Conclusions: To the best of our knowledge, this is the first published report in which the c.1A > C; p.(Met1?) pathogenic variant in the SDHA is associated with a GIST. SDHA pathogenic variants increase the risk of paraganglioma, pheochromocytoma, GIST, pituitary adenoma and renal cancer in an autosomal dominant inherited condition named paraganglioma syndrome type 5. The absence of family history of tumors in SDHA pathogenic variants carriers could be related to its low penetrance. All patients diagnosed with WT GISTs should be referred to a hereditary cancer genetic counseling unit regardless of the age at presentation or the absence of a suspicious family history., Competing Interests: Competing interestsThe authors declare that they have not competing interests.

Luminal B breast tumors have aggressive clinical and biological features, and constitute the most heterogeneous molecular subtype, both clinically and molecularly. Unfortunately, the immunohistochemistry correlate of the luminal B subtype remains still imprecise, and it has now become of paramount importance to define a classification scheme capable of segregating luminal tumors into clinically meaningful subgroups that may be used clinically to guide patient management. With the aim of unraveling the DNA methylation profiles of the luminal subtypes currently being most used in the clinical setting, we have quantified the DNA methylation level of 27,578 CpG sites in 17 luminal B (ER+, Ki67 ≥ 20 % or PgR < 20 % and HER2-), 8 luminal A (ER+ and Ki67 > 20 %) and 4 luminal B-HER2+ (ER+ and HER2+) breast cancer samples by using the Illumina Infinium methylation microarray approach. Unsupervised hierarchical clustering revealed that DNA methylation stratifies luminal B samples in two categories with differing epigenetic and clinical features. One subgroup of luminal B samples showed a methylator phenotype and clustered with the lumB-HER tumors, while the other showed less methylated events, clustered with the luminal A. A 3 CpG marker panel capable of discriminating methylator versus non-methylator luminal B samples was identified and further validated in an independent cohort of patients. Our results provide evidence that DNA methylation and, more specifically, a panel of 3 CpG markers, enables the stratification of luminal B samples in two categories with differing epigenetic and clinical features and support the utilization of this panel for therapeutic stratification of patients with luminal breast cancer.