Identification of potential microRNA groups for the diagnosis of hepatocellular carcinoma (HCC) using microarray datasets and bioinformatics tools.

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and the third cause of cancer-related death worldwide. Potential microRNAs have been reported as biomarkers for early detection of HCC as well as novel molecular targets for HCC treatment. Various tissue expression profiles of miRNAs using three microarray datasets from groups in Asia (2), Europe, America (GSE147892, GSE21362, GSE74618, GSE40744) and multiple bioinformatics tools were integrated to determine the most significant miRNA groups to assist in the diagnosis of HCC. Statistical analyses identified at least 30 miRNAs with 17 up-regulated and 13 down-regulated in HCC-related tumor tissues. All the miRNAs also showed relevance to the hallmarks of cancer such as cell proliferation, invasion, metastasis, angiogenesis, metabolism, epithelial-mesenchymal transition and apoptosis. Expression levels of miRNAs observed in the European group showed up-regulation at 5-37% compared to both Asian and American groups. Interestingly, four miRNAs divided into two groups as miR-182-5p/miR-1269a and miR-199a/miR-422a were the most promising for diagnosis of HCC patients from healthy controls, with AUC values of 0.902 and 0.892, respectively. Results provided evidence of the correlation between potential miRNAs and HCC that could be useful for disease diagnosis based on in-depth analyses of large case numbers and cohort studies.

Expression of Plasma hsa-miR122 in HBV-Related Hepatocellular Carcinoma (HCC) in Vietnamese Patients.

BACKGROUND: Hepatocellular carcinoma (HCC) is the leading cause of cancer-related death in the world and considered as one of the most susceptible cancers in humans. The microRNA molecule, hsa-miR122, considered as a potential biological marker linked with the injury of hepatocellular tissue, is the most common microRNA in human liver cancer. Understanding the expression profile of hsa-miR122 plays an important role in the diagnosis of HCC. OBJECTIVE: Identification and comparison of cut-off values of plasma hsa-miR122 expression were conducted in blood samples of healthy control, HBV infected and HBV-related HCC Vietnamese patients. METHODS AND RESULT: Fifty-two blood samples of healthy control and HBV-related HCC cases, collected between 2015 and 2017 were obtained from Ho Chi Minh City Oncology Hospital, Vietnam. Written informed consent was attained from all patients and the Human Research Ethics Committee, Oncology Hospital (#08/BVUB-HDDD) approved the research protocol. Total RNA was isolated from blood samples with TrizolTM Reagent (Thermo Fisher Scientific, USA). To analyze the expression level of hsa-miR122, miRNA specific reverse transcription was performed using Sensi- FASTTM cDNA Synthesis Kit (Bioline, UK) as described by the manufacturer, followed by running RT-qPCR with SensiFASTTMSYBR No-ROX Kit (Bioline, UK). The housekeeping gene, GAPDH (glyceraldehyde-3-phosphate dehydrogenase) was used for normalization. The presence of hsamiR122 and HBV-DNA was identified in human blood using RT-PCR and LAMP techniques. Downregulation of plasma hsa-miR122 was observed in HBV-related HCC patients with a .Ct value of 7.9 ± 2.1 which was significantly lower than found in healthy control (p<0.01). The loss of hsa-miR122 expression was observed in HBV infected patients. We also identified the difference of diagnostic values of this microRNA in different populations and provided a high diagnostic accuracy of HCC (AUC = 0.984 with sensitivity and specificity of 96% and 94%, respectively). CONCLUSION: hsa-miR122 was downregulated in HBV-related HCC patients and found to be lower by approximately 10 fold than in healthy control, resulting in a potential biomarker for microRNA based diagnosis of HCC in human blood.

A global perspective of the richness and evenness of traditional crop-variety diversity maintained by farming communities.

Varietal data from 27 crop species from five continents were drawn together to determine overall trends in crop varietal diversity on farm. Measurements of richness, evenness, and divergence showed that considerable crop genetic diversity continues to be maintained on farm, in the form of traditional crop varieties. Major staples had higher richness and evenness than nonstaples. Variety richness for clonal species was much higher than that of other breeding systems. A close linear relationship between traditional variety richness and evenness (both transformed), empirically derived from data spanning a wide range of crops and countries, was found both at household and community levels. Fitting a neutral "function" to traditional variety diversity relationships, comparable to a species abundance distribution of "neutral ecology," provided a benchmark to assess the standing diversity on farm. In some cases, high dominance occurred, with much of the variety richness held at low frequencies. This suggested that diversity may be maintained as an insurance to meet future environmental changes or social and economic needs. In other cases, a more even frequency distribution of varieties was found, possibly implying that farmers are selecting varieties to service a diversity of current needs and purposes. Divergence estimates, measured as the proportion of community evenness displayed among farmers, underscore the importance of a large number of small farms adopting distinctly diverse varietal strategies as a major force that maintains crop genetic diversity on farm.