Gastric cancer (GC) is an aggressive disease and the fifth most common cancer worldwide with a variable geographical distribution. GC has a very low survival rate, mainly because of its heterogeneous presentation, multifactorial etiology, and late diagnosis. It is well established that various risk factors contribute to the development of the disease, including salty diet, smoking, and excessive alcohol consumption. Importantly, interactions between genetic and environmental traits trigger the activation of key signaling pathways, influencing gastric cell behavior towards neoplastic transformation and progression. Despite important advances in our understanding of GC, it remains a major health burden owing to epidemiological and therapeutic limitations. This study aimed to provide a comprehensive overview of the genetic landscape of GC phenotypes and molecular biomarkers for diagnosis and prognosis. In particular, we discuss the advances in genomic knowledge and technology that have yielded comprehensive information on the genetics of GC and classified it from a histological to a molecular perspective. Therefore, targeted and immune-based therapies have been developed, highlighting the challenges associated with intratumoral and interpatient heterogeneity. Finally, we explored potential research avenues on the intricacies of GC and identified accurate biomarkers for improved cancer screening and stratification. The development of innovative approaches to tackle relevant molecules is needed for GC management.

PURPOSE: The purpose of this study was to apply a newly developed free software program, at low cost and with minimal time, to evaluate the quality of dental and maxillofacial cone-beam computed tomography (CBCT) images. MATERIALS AND METHODS: A polymethyl methacrylate (PMMA) phantom, CQP-IFBA, was scanned in 3 CBCT units with 7 protocols. A macro program was developed, using the free software ImageJ, to automatically evaluate the image quality parameters. The image quality evaluation was based on 8 parameters: uniformity, the signal-to-noise ratio (SNR), noise, the contrast-to-noise ratio (CNR), spatial resolution, the artifact index, geometric accuracy, and low-contrast resolution. RESULTS: The image uniformity and noise depended on the protocol that was applied. Regarding the CNR, high-density structures were more sensitive to the effect of scanning parameters. There were no significant differences between SNR and CNR in centered and peripheral objects. The geometric accuracy assessment showed that all the distance measurements were lower than the real values. Low-contrast resolution was influenced by the scanning parameters, and the 1-mm rod present in the phantom was not depicted in any of the 3 CBCT units. Smaller voxel sizes presented higher spatial resolution. There were no significant differences among the protocols regarding artifact presence. CONCLUSION: This software package provided a fast, low-cost, and feasible method for the evaluation of image quality parameters in CBCT.
Artifacts ; Cone-Beam Computed Tomography* ; Methods ; Noise ; Polymethyl Methacrylate ; Quality Control ; Signal-To-Noise Ratio

OBJECTIVE: Schizophrenia is a disabling disorder of unknown aetiology, lacking definite diagnostic method and cure. A reliable biological marker of schizophrenia is highly demanded, for which traceable immune mediators in blood could be promising candidates. We aimed to gather the best findings of neuroinflammatory markers for first-episode psychosis (FEP). METHODS: We performed an extensive narrative review of online literature on inflammation-related markers found in human FEP patients only. RESULTS: Changes to cytokine levels have been increasingly reported in schizophrenia. The peripheral levels of IL-1 (or its receptor antagonist), soluble IL-2 receptor, IL-4, IL-6, IL-8, and TNF-α have been frequently reported as increased in FEP, in a suggestive continuum from high-risk stages for psychosis. Microglia and astrocytes establish the link between this immune signalling and the synthesis of noxious tryptophan catabolism products, that cause structural damage and directly hamper normal neurotransmission. Amongst these, only 3-hydroxykynurenine has been consistently described in the blood of FEP patients. CONCLUSION: Peripheral molecules stemming from brain inflammation might provide insightful biomarkers of schizophrenia, as early as FEP or even prodromal phases, although more time- and clinically-adjusted studies are essential for their validation.
Astrocytes ; Biomarkers ; Encephalitis ; Humans ; Interleukin-1 ; Interleukin-4 ; Interleukin-6 ; Interleukin-8 ; Metabolism ; Methods ; Microglia ; Polytetrafluoroethylene ; Psychotic Disorders ; Receptors, Interleukin-2 ; Schizophrenia ; Synaptic Transmission ; Tryptophan