Project description:Background: Oral squamous cell carcinoma (OSCC) is often diagnosed at a late stage and may be malignantly transformed from oral leukoplakia (OL). This study aimed to identify potential plasma microRNAs (miRNAs) for the early detection of oral cancer. Methods: Plasma from normal, OL, and OSCC patients were evaluated. Small RNA sequencing was used to screen differently expressed miRNAs among the groups. Next, these miRNAs were validated with individual samples by quantitative real-time polymerase chain reaction (qRT-PCR) assays. The possible physiological roles of the identified miRNAs were further investigated using bioinformatics analysis. Results: Three miRNAs (miR-222-3p, miR-150-5p, and miR-423-5p) were identified as differentially expressed among groups; miR-222-3p and miR-423-5p negatively correlated with T stage, lymph node metastasis status, and clinical stage. A high diagnostic accuracy (Area under curve = 0.88) was demonstrated for discriminating OL from OSCC. Bioinformatics analysis reveals that miR-423-5p and miR-222-3p are significantly over-expressed in oral cancer tissues and involved in various cancer pathways. Conclusions: The three plasma miRNA panel may be useful to monitor malignant progression from OL to OSCC and as potential biomarkers for early detection of oral cancer.
Project description:Oral squamous cell carcinoma (OSCC) is often diagnosed at a late stage and may be malignantly transformed from oral leukoplakia (OL). This study aimed to identify potential plasma microRNAs (miRNAs) for the early detection of oral cancer. Plasma from normal, OL, and OSCC patients were evaluated. Small RNA sequencing was used to screen the differently expressed miRNAs among the groups. Next, these miRNAs were validated with individual samples by quantitative real-time polymerase chain reaction (qRT-PCR) assays in the training phase (n = 72) and validation phase (n = 178). The possible physiological roles of the identified miRNAs were further investigated using bioinformatics analysis. Three miRNAs (miR-222-3p, miR-150-5p, and miR-423-5p) were identified as differentially expressed among groups; miR-222-3p and miR-423-5p negatively correlated with T stage, lymph node metastasis status, and clinical stage. A high diagnostic accuracy (Area under curve = 0.88) was demonstrated for discriminating OL from OSCC. Bioinformatics analysis reveals that miR-423-5p and miR-222-3p are significantly over-expressed in oral cancer tissues and involved in various cancer pathways. The three-plasma miRNA panel may be useful to monitor malignant progression from OL to OSCC and as potential biomarkers for early detection of oral cancer.
Project description:Background: Mild cognitive impairment (MCI) is an intermediate state between normal aging, and Alzheimer’s disease, and other dementias. Early detection of dementia, and MCI, is a crucial issue in terms of secondary prevention. Blood biomarker detection is a possible way for early detection of MCI. Although disease biomarkers are detected by, in general, using single molecular analysis such as t-test, another possible approach is based on interaction between molecules. Results: Differential correlation analysis, which detects difference on correlation of two variables in case/control study, was carried out to the dataset with 745 microRNAs (miRNAs) from plasma samples of 30 age-matched controls and 23 MCI patients in Japan. The 20 pairs of miRNAs, which consist of 20 miRNAs, were selected as MCI markers. Two pairs of miRNAs (hsa-miR-191 and hsa-miR-101, and hsa-miR-103 and hsa-miR-222) out of 20 attained the highest area under the curve (AUC) value of 0.962 for MCI detection. Other two miRNA pairs that include hsa-miR-191 and hsa-miR-125b also attained high AUC value of ≥ 0.95. Pathway analysis was performed to the MCI markers for further understanding of biological implications. As a result, collapsed correlation on hsa-miR-191 and emerged correlation on hsa-miR-125b may have key role in MCI, and dementia progression. Conclusion: Differential correlation analysis, a bioinformatics tool to elucidate complicated and interdependent biological systems behind diseases, detects effective MCI markers that cannot be found by single molecule analysis such as t-test.
Project description:Recent studies have shown that microRNAs (miRNAs) are implicated in the development of postmenopausal osteoporosis, implying potential biomarkers. We performed a microarray-based expression scanning to search for potential circulating miRNA biomarkers for postmenopausal osteoporosis as whole blood obtianed from patients was used. MiRNA expression in the whole blood of 23 Chinese postmenopausal women with osteopenia and that of 25 Chinese postmenopausal women with osteoporosis. After total RNA was extracted, all of the RNA extraction samples were seperately pooled into six subgroups according to the T-score measurement.
Project description:To further development of our gene expression profile of Alzheimer's disease, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential biomarker for early disease detection
Project description:Recent studies have shown that microRNAs (miRNAs) are implicated in the development of postmenopausal osteoporosis, implying potential biomarkers. We performed a microarray-based expression scanning to search for potential circulating miRNA biomarkers for postmenopausal osteoporosis as whole blood obtianed from patients was used.
Project description:Since changes in cognitive function develop slowly over time, Alzheimer’s disease patients are often diagnosed at an advanced stage of molecular pathology, a time point when causative treatments fail. Thus, there is great need for inexpensive and minimal invasive biomarker that could be used in screening approaches with the aim to identify individuals at risk, that can then undergo further diagnostics and eventually stratified therapies. In this study we use an integrative approach combining the analysis of human data and model systems to identify a circulating 3-microRNA signature that reflect key processes linked to neural homeostasis and informs about cognitive decline. We furthermore provide evidence that expression changes of this signature represent relevant patho-mechanisms in the brain and are a suitable target for RNA therapeutics towards dementia.
Project description:Since changes in cognitive function develop slowly over time, Alzheimer’s disease patients are often diagnosed at an advanced stage of molecular pathology, a time point when causative treatments fail. Thus, there is great need for inexpensive and minimal invasive biomarker that could be used in screening approaches with the aim to identify individuals at risk, that can then undergo further diagnostics and eventually stratified therapies. In this study we use an integrative approach combining the analysis of human data and model systems to identify a circulating 3-microRNA signature that reflect key processes linked to neural homeostasis and informs about cognitive decline. We furthermore provide evidence that expression changes of this signature represent relevant patho-mechanisms in the brain and are a suitable target for RNA therapeutics towards dementia.
Project description:To further development of our gene expression profile of Alzheimer's disease, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential biomarker for early disease detection Total RNA from peripheral blood cells was extracted, reverse-transcribed and labelled, then analysed for gene expression using GeneSpring GX12 (Agilent Technologies, USA). About 180 samples (AD=90, Non-demented control=90) was used for microarray analysis.