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Cancer as a genetic disease is by now well recognized. Genomic analysis of cancer cells, therefore, has greatly enhanced our ability to identify genetic alterations associated with various cancer types, including both lympho-hematopoietic as well as solid tumors. Chronic myeloid leukemia (CML), based on the specific diagnostic genetic abnormality has served as a prototype disease to clearly demonstrate the significance of the genomic analysis of cancer in identifying targeted therapy. Such a success has provided extra ordinary opportunities to investigate the role of genetic abnormalities and the pathways amenable to targeted therapy, not only in blood cancers but solid tumors such as Lung, Brain, Colon, Renal, Breast cancers as well as other epithelial and mesenchymal tumors. The main focus of this presentation is to illustrate the role of genomic analysis in targeting lung cancer, based on abnormalities or the pathways deregulated in tumor cells from individual patients. Lung cancer is one of the most commoof these cancer types.PRKCI is frequently overexpressed in multiple human cancers, and PKCι expression is often prognostic for poor patient survival, indicating that elevated PKCι broadly plays an oncogenic role in the cancer phenotype. PKCι drives multiple oncogenic signaling pathways involved in transformed growth, and transgenic mouse models have revealed that PKCι is a critical oncogenic driver in both lung and ovarian cancers. We now report that recurrent 3q26 copy number gain (CNG) is the predominant genetic driver of PRKCI mRNA expression in all major human cancer types exhibiting such CNGs. In addition to PRKCI, CNG at 3q26 leads to coordinate CNGs of ECT2 and SOX2, two additional 3q26 genes that collaborate with PRKCI to drive oncogenic signaling and tumor initiation in lung squamous cell carcinoma. Interestingly however, whereas 3q26 CNG is a strong driver of PRKCI mRNA expression across all tumor types examined, it has differential effects on ECT2 and SOX2 mRNA expression. In some tumors types, particularly those with s, but that tumor-type specific mechanisms determine whether these copy number alterations also drive expression of the collaborating 3q26 oncogenes ECT2 and SOX2, and the oncogenic PKCι signaling pathways activated through the collaborative action of these genes. Our analysis may be useful in identifying tumor-specific predictive biomarkers and effective PKCι-targeted therapeutic strategies in the multitude of human cancers harboring genetic activation of PRKCI.Trauma-induced insomnia is a symptom of posttraumatic stress disorder (PTSD), and is reported to be particularly distressing and often persists even after remission of the core symptoms of PTSD. Recently, it has been suggested that fear of sleep plays an important role in the development and maintenance of trauma-induced insomnia. The aim of this review is to propose a conceptual model of fear of sleep as a maintaining factor of trauma-induced insomnia. After a brief overview of the role of sleep in PTSD, the concept of fear of sleep is introduced. Theoretical considerations and empirical findings on the role of fear of sleep for trauma-induced insomnia in the context of PTSD are summarized and integrated. Specifically, links between PTSD symptoms and fear of sleep are presented, as well as possible consequences of fear of sleep leading to trauma-induced insomnia. Finally, we highlight methodological issues, identify areas for future research, and discuss potential clinical implications.Repetitive negative thinking (RNT), i.e., worry, rumination, and transdiagnostic repetitive thinking, is thought to exacerbate and perpetuate insomnia in cognitive models. Moreover, RNT is a longitudinal precursor of depression and anxiety, which are often co-present alongside insomnia. Whilst accumulating evidence supports the efficacy of cognitive behavioural therapy for insomnia (CBT-I) in reducing depression and anxiety symptoms, the literature on the effects of CBT-I on RNT has never been systematically appraised. Importantly, preliminary evidence suggests that reduction of RNT following CBT-I may be associated with reduction of depression and anxiety. Therefore, we aimed to conduct a systematic review and meta-analysis on the effects of CBT-I on RNT. Seven databases were searched, and 15 randomised controlled trials were included. Results showed moderate-to-large effects of CBT-I on worry (Hedge's g range -0.41 to g = -0.71) but small and non-reliable effects on rumination (g = -0.13). No clear evidence was found for an association between post-treatment reduction in RNT and post-treatment reduction in depression and anxiety. Although the literature is small and still developing, CBT-I seems to have a stronger impact on sleep-related versus general measures of RNT. We discuss a research agenda aimed at advancing the study of RNT in CBT-I trials.Sleep disturbances (e.g., difficulty to initiate or maintain sleep) and poor sleep quality are major health concerns that accompany several neurological and neuropsychiatric clinical conditions where different brain circuitries are affected (e.g., chronic pain, Parkinson's disease or depression), having a great impact in the individual's well-being, quality of life, and the socioeconomic system. Sleep disturbances in absence of breathing or neurological disorders are mainly treated with medications (e.g., benzodiazepines, hypnotics, etc.) and cognitive behavioral therapy, which are associated with side-effects and adherence issues, respectively. Moreover, these therapies do not seem to work effectively for some individuals. Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) are non-invasive stimulation techniques used to treat several conditions and symptoms. Results from this systematic review indicate that rTMS and tDCS are safe and have potential to improve insomnia symptoms and sleep disturbances across different types of neurological and neuropsychiatric diseases. L-685,458 in vitro However, uncontrolled and quasi experimental studies with high risk of bias were included. Thus, although these results can help developing the field, caution in interpreting them is advised. Additional research efforts are needed to reduce bias, improve quality, and characterize optimal brain stimulation parameters to promote their efficacy on sleep related outcomes.
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