Molecular network of neuronal autophagy in the pathophysiology and treatment of depression.

Major depressive disorder (MDD) is a complicated multifactorial induced disease, characterized by depressed mood, anhedonia, fatigue, and altered cognitive function. Recently, many studies have shown that antidepressants regulate autophagy. In fact, autophagy, a conserved lysosomal degradation pathway, is essential for the central nervous system. Dysregulation of autophagic pathways, such as the mammalian target of rapamycin (mTOR) signaling pathway and the beclin pathway, has been studied in neurodegenerative diseases. However, autophagy in MDD has not been fully studied. Here, we discuss whether the dysregulation of autophagy contributes to the pathophysiology and treatment of MDD and summarize the current evidence that shows the involvement of autophagy in MDD.

Identification of melanoma biomarkers based on network modules by integrating the human signaling network with microarrays.

BACKGROUND: Melanoma is a leading cause of cancer death. Thus, accurate prognostic biomarkers that will assist rational treatment planning need to be identified. METHODS: Microarray analysis of melanoma and normal tissue samples was performed to identify differentially expressed modules (DEMs) from the signaling network and ultimately detect molecular markers to support histological examination. Network motifs were extracted from the human signaling network. Then, significant expression-correlation differential modules were identified by comparing the network module expression-correlation differential scores under normal and disease conditions using the gene expression datasets. Finally, we obtained DEMs by the Wilcoxon rank test and considered the average gene expression level in these modules as the classification features for diagnosing melanoma. RESULTS: In total, 99 functional DEMs were identified from the signaling network and gene expression profiles. The area under the curve scores for cancer module genes, melanoma module genes, and whole network modules are 92.4%, 90.44%, and 88.45%, respectively. The classification efficiency rates for nonmodule features are 71.04% and 79.38%, which correspond to the features of cancer genes and melanoma cancer genes, respectively. Finally, we acquired six significant molecular biomarkers, namely, module 10 (CALM3, Ca 2+ , PKC, PDGFRA, phospholipase-g, PIB5PA, and phosphatidylinositol-3-kinase), module 14 (SRC, Src homology 2 domain-containing [SHC], SAM68, GIT1, transcription factor-4, CBLB, GRB2, VAV2, LCK, YES, PTCH2, downstream of tyrosine kinase [DOK], and KIT), module 16 (ELK3, p85beta, SHC, ZFYVE9, TGFBR1, TGFBR2, CITED1, SH3KBP1, HCK, DOK, and KIT), module 45 (RB, CCND3, CCNA2, CDK4, and CDK6), module 75 (PCNA, CDK4, and CCND1), and module 114 (PSD93, NMDAR, and FYN). CONCLUSION: We explored the gene expression profile and signaling network in a global view and identified DEMs that can be used as diagnostic or prognostic markers for melanoma.

Research advances on TCM anti-tumor effects and the molecular mechanisms.

With unceasingly deep researches on tumor cytology and molecular biology in recent years, it has been recognized that tumor is not only the outcome of occurrence and progress of cell proliferative disorders and abnormal differentiation, but also closely related to abnormality of apoptosis. Since traditional Chinese medicine (TCM) is easy to obtain and exhibits significant antitumor effects accompanied with less toxic and side effects, it has already become a hotspot for cancer researches. This article is to overview TCM's antitumor effects and to summarize the underlying molecular mechanisms.

Protein kinase Cs in lung cancer: a promising target for therapies.

Lung cancer has been identified as one of the most deadly oncologies. The most influential causes for disease progression include smoking, genetic mutation and inflammatory lung diseases. Conventional therapies for lung cancer including chemo and radio-treatments often cause serious adverse effects. The advent of novel therapeutics that specifically target signalling pathways activated by genetic alterations has revolutionized the way patients with lung cancer are treated. These are comprised of various molecular targets on its carcinogen signalling pathways, among which the protein kinase C (PKC) family is a promising target. The 12 isotypes in the family demonstrate complex interactions. This inter-linked signalling loop has added complexity of developing effective therapies. An improved understanding of different molecules involved in these signalling pathways will provide several profound implications, ranging from preclinical work on the mechanisms to trial design. Therapies developed targeting individual/multiple PKCs combined with conventional strategies offer promising future combating cancer.

Endobronchial ultrasound-guided transbronchial needle aspiration in the mediastinal staging of non-small cell lung cancer: a meta-analysis.

In this article, we assessed the pooled sensitivity and specificity of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) in studies during the last 10 years that have solely used EBUS-TBNA as a minimally invasive technique, with or without computed tomography or positron-emission tomography screening. The meta-analysis included 1,066 patients from 9 studies who underwent EBUS-TBNA. The results show EBUS-TBNA is a potential technique for the investigation, diagnosis, and staging of non-small cell lung cancer among patients with suspected lung cancer. It has excellent sensitivity, specificity, accuracy, positive predictive value, and negative predictive value. EBUS-TBNA is well tolerated and does not lead to complications in patients.

Bibliometric analysis of nanotechnology applied in oncology from 2002 to 2011.

Innovation in the last decade has endowed nanotechnology with an assortment of tools for drug delivery system, imaging, and sensing in cancer research. These rapidly emerging tools are indicative of a burgeoning field ready to expand into medical applications. The aim of this study is to analyze the applications of nanotechnology in oncology with bibliometric methods and evaluate development in this field. Literature search was performed using PubMed search engines with MeSH terms (all)--nanotechnology, nanomedicine, nanoparticle, nanocapsules, micellar systems, and oncology or cancer or neoplasms. Within 2,543 articles from 2002 to 2011 in over 50 medical magazines from over 30 countries, we did a series analysis on these articles' countries, keywords, and authors. Our results show that articles in nanotechnology in oncology are increasing year by year, especially in recent years. Quantity and quality of the articles are becoming more and influential. In the global research, the USA is leading in this field, accounting for half above of the whole articles, followed by countries like Japan, Germany, and France and also some emerging nations like China, in the second place, and India. Subjects like nanoparticles, tumor marker, and drug delivery are the common research focus. So, with more and more scientists' interests and attention drawn to this field, it is likely to make major breakthroughs in the coming years.

Improving signal intensities for genes with low-expression on oligonucleotide microarrays.

BACKGROUND: DNA microarrays using long oligonucleotide probes are widely used to evaluate gene expression in biological samples. These oligonucleotides are pre-synthesized and sequence-optimized to represent specific genes with minimal cross-hybridization to homologous genes. Probe length and concentration are critical factors for signal sensitivity, particularly when genes with various expression levels are being tested. We evaluated the effects of oligonucleotide probe length and concentration on signal intensity measurements of the expression levels of genes in a target sample. RESULTS: Selected genes of various expression levels in a single cell line were hybridized to oligonucleotide arrays of four lengths and four concentrations of probes to determine how these critical parameters affected the intensity of the signal representing their expression. We found that oligonucleotides of longer length significantly increased the signals of genes with low-expression in the target. High-expressing gene signals were also boosted but to a lesser degree. Increasing the probe concentration, however, did not linearly increase the signal intensity for either low- or high-expressing genes. CONCLUSIONS: We conclude that the longer the oligonuclotide probe the better the signal intensities of low expressing genes on oligonucleotide arrays.