Genomewide Study of Salivary MicroRNAs for Detection of Oral Cancer.

MicroRNAs (miRNAs) in human saliva have recently demonstrated to be potential biomarkers for diagnosis purposes. However, lack of well-characterized/matched clinical groups and lack of suitable endogenous control (EC) for salivary extracellular miRNA detection and normalization are among the restrictions of applying salivary-based miRNA biomarker discovery. In the present study, we examined the differential expression pattern of miRNAs among 4 groups of subjects-including patients with oral squamous cell carcinoma (OSCC), patients with OSCC in remission (OSCC-R), patients with oral lichen planus, and healthy controls (HCs)-using a genomewide high-throughput miRNA microarray. First, we systematically screened 10 pooling samples and 34 individual samples of different groups to find a proper EC miRNA. We then investigated the genomewide expression patterns of differentially expressed miRNAs in saliva of different groups using NanoString nCounter miRNA expression assay and real-time quantitative polymerase chain reaction, followed by construction of receiver operating characteristic curves to determine the sensitivity and specificity of the assay. We identified miRNA-191 as a suitable EC miRNA with minimal intergroup and intragroup variability, and we used it for normalization. Of more than 700 miRNAs tested, 13 were identified as being significantly deregulated in saliva of OSCC patients compared to HCs: 11 miRNAs were underexpressed (miRNA-136, miRNA-147, miRNA-1250, miRNA-148a, miRNA-632, miRNA-646, miRNA668, miRNA-877, miRNA-503, miRNA-220a, miRNA-323-5p), and 2 miRNAs were overexpressed (miRNA-24, miRNA-27b). MiRNA-136 was underexpressed in both OSCC vs. HCs and OSCC vs. OSCC-R. MiRNA-27b levels were significantly higher in OSCC patients compared to those found in HCs, patients with OSCC-R, and patients with oral lichen planus and served as a characteristic biomarker of OSCC. Receiver operating characteristic curve analyses showed that miRNA-27b could be a valuable biomarker for distinguishing OSCC patients from the other groups. Our novel findings established a reliable EC miRNA for salivary-based diagnostic and indicate that the salivary miRNA profiles are discriminatory in OSCC patients.

Differential effects of the APOE genotype on brain function across the lifespan.

Increasing age and carrying an APOE ε4 allele are well established risk factors for Alzheimer's disease (AD). The earlier age of onset of AD observed in ε4-carriers may reflect an accelerated aging process. We recently reported that APOE genotype modulates brain function decades before the appearance of any cognitive or clinical symptoms. Here we test the hypothesis that APOE influences brain aging by comparing healthy ε4-carriers and non-carriers, using the same imaging protocol in distinct groups of younger and older healthy volunteers. A cross-sectional factorial design was used to examine the effects of age and APOE genotype, and their interaction, on fMRI activation during an encoding memory task. The younger (N=36; age range 20-35; 18 ε4-carriers) and older (35 middle-age/elderly; age range 50-78 years; 15 ε4-carriers) healthy volunteers taking part in the study were cognitively normal. We found a significant interaction between age and ε4-status in the hippocampi, frontal pole, subcortical nuclei, middle temporal gyri and cerebellum, such that aging was associated with decreased activity in e4-carriers and increased activity in non-carriers. Reduced cerebral blood flow was found in the older ε4-carriers relative to older non-carriers despite preserved grey matter volume. Overactivity of brain function in young ε4-carriers is disproportionately reduced with advancing age even before the onset of measurable memory impairment. The APOE genotype determines age-related changes in brain function that may reflect the increased vulnerability of ε4-carriers to late-life pathology or cognitive decline.

TGF-beta1 interactome: metastasis and beyond.

The ubiquitous cytokine transforming growth factor-beta1 (TGF-beta1) is one of the most potent metastatic inducers. Functional interactomic mapping using high-throughput proteomic and genomic data provides valuable insights into the regulation of tumor suppressive and metastatic attributes of TGF-beta1. Polarity changes of the TGF-beta1 interactome at a given time contributes to these contrasting effects. Differential expression profiles of pivotal interactomic nodes contribute to these polarity changes. These insights are of immense value in the development of effective cancer therapeutics. Moreover, TGF-beta1 interactomic nodes are useful in discovering novel cancer biomarkers. This review describes an initial version of the TGF-beta1 interactome in relation to tumor progression and metastasis. Thus, this review embodies an important step towards the mapping of comprehensive and individualized TGF-beta1 interactomes that will assist in the development of personalized cancer therapeutics.