Extracellular vesicles in neurodegenerative, mental, and other neurological disorders: Perspectives into mechanisms, biomarker potential, and therapeutic implications.

Extracellular vesicles (EVs) are produced, secreted, and targeted by most human cells, including cells that compose nervous system tissues. EVs carry several types of biomolecules, such as lipids, proteins and microRNA, and can function as signaling agents in physiological and pathological processes. In this chapter, we will focus on EVs and their cargo secreted by brain cells, especially neurons and glia, and how these aspects are affected in pathological conditions. The chapter covers neurodegenerative disorders, including Alzheimer's disease, Parkinson's disease and amyotrophic lateral sclerosis, as well as several psychiatric disorders, namely schizophrenia, autism spectrum disorder and major depressive disorder. This chapter also addresses other types of neurological dysfunctions, epilepsy and traumatic brain injury. EVs can cross the blood brain barrier, and thus brain EVs may be detected in more accessible peripheral tissue, such as circulating blood. Alterations in EV composition and contents can therefore impart valuable clues into the molecular etiology of these disorders, and serve biomarkers regarding disease prevalence, progression and treatment. EVs can also be used to carry drugs and biomolecules into brain tissue, considered as a promising drug delivery agent for neurological diseases. Therefore, although this area of research is still in its early development, it offers great potential in further elucidating and in treating neurological disorders.

Genetic and Transcriptional Analysis of 8q24.21 Cluster in Gastric Cancer.

BACKGROUND/AIM: Previous studies from our research group have shown that trisomy 8 and the amplification of the 8q24.21 region is very frequent in gastric cancer (GC). Little is known about the role of most genes located in this region. Thus, the aim of this study was to understand the possible impact of transcriptional alterations and copy number variation (CNV) of four genes located in the 8q24.21 region - FAM49B, FAM84B, GSDMC and miR-5194 - in GC. MATERIALS AND METHODS: Fifty-one to 85 matched pairs of tumoral and adjacent non-tumoral gastric tissues, from patients with primary GC, were used to analyze gene expression and CNV of the selected genes. We also included 29 H. pylori negative and gastritis negative gastric mucosa tissues from individuals without cancer obtained by endoscopy, as control samples. RESULTS: The expression of FAM49B, GSDMC and miR-5194 was higher in both tumoral and adjacent non-tumoral samples compared to the negative control. The expression of FAM84B showed no significant difference between tumoral samples and negative controls. However, the expression of FAM84B in the adjacent non-tumoral samples was higher compared to negative control and tumoral samples. Moreover, the higher expression of GSDMC was associated with T3 and T4 tumors, with tumors on stage III and IV and with advanced tumors. Higher copy numbers of FAM49B and GSDMC were associated with intestinal tumor type and with moderately or well-differentiated tumors. Higher copy number of FAM84B was associated with moderately or well-differentiated tumors. Furthermore, the expression of all four genes was positively correlated. CONCLUSION: All four genes are upregulated in GC and may play an important role in these neoplasms. GSDMC expression was associated with more aggressive tumors.

The Complex Network between MYC Oncogene and microRNAs in Gastric Cancer: An Overview.

Despite the advancements in cancer treatments, gastric cancer is still one of the leading causes of death worldwide. In this context, it is of great interest to discover new and more effective ways of treating this disease. Accumulated evidences have demonstrated the amplification of 8q24.21 region in gastric tumors. Furthermore, this is the region where the widely known MYC oncogene and different microRNAs are located. MYC deregulation is key in tumorigenesis in various types of tissues, once it is associated with cell proliferation, survival, and drug resistance. microRNAs are a class of noncoding RNAs that negatively regulate the protein translation, and which deregulation is related with gastric cancer development. However, little is understood about the interactions between microRNAs and MYC. Here, we overview the MYC role and its relationship with the microRNAs network in gastric cancer aiming to identify potential targets useful to be used in clinic, not only as biomarkers, but also as molecules for development of promising therapies.

A Comprehensive Expression Analysis of Cancer Testis Antigens in Head and Neck Squamous Cell Carcinoma Revels MAGEA3/6 as a Marker for Recurrence.

Despite significant advances in the treatment of head and neck squamous cell carcinoma (HNSCC), the survival rate has not changed in the last decades. Therefore, the development of novel therapeutic strategies is pursued. Cancer-testis antigens (CTA) are strong immunogenic proteins with a tumor-restricted expression pattern, and are considered ideal targets for tumor-specific immunotherapeutic approaches. In this study, using an in silico approach, we selected, among 139 previously described CTA, candidates to be evaluated in 89 HNSCC and 20 normal mucosa samples. SPANX-CD (71.9%), MAGEB2 (44.9%), MAGEA1 (44.9%), MAGEB6 (32.6%), and CXORF48 (27.0%) were found frequently expressed in HNSCC, and over 85% of the tumors expressed at least one of these five CTAs. The mRNA positivity of CXORF48, MAGEB6, and CRISP2 presented significant associations with recognized clinical features for poor outcome. Furthermore, MAGEA3/6 positivity was associated with significantly better disease-free survival (DFS, P = 0.014), and the expression of this antigen was shown to be an independent prognostic factor for tumor recurrence. In conclusion, one of five selected CTAs is expressed in at least 85% of the HNSCCs, suggesting a possible usage as target for immunotherapeutic approaches, and the mRNA-positivity for MAGEA3/6 is shown to be an independent marker for DFS.