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A three–microRNA signature as a potential biomarker for the early detection of oral cancer

ABSTRACT: A three–microRNA signature as a potential biomarker for the early detection of oral cancer

PROVIDER: PRJNA412638 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR6121734.fastq.gz	Fastqsanger.gz
	SRR6121735.fastq.gz	Fastqsanger.gz
	SRR6121736.fastq.gz	Fastqsanger.gz

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Similar Datasets

A three–microRNA signature as a potential biomarker for the early detection of oral cancer

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.

2018-04-17 | GSE104440 | GEO

A Three-MicroRNA Signature as a Potential Biomarker for the 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.

| S-EPMC5877619 | biostudies-literature

iTRAQ based quantitative proteomic analysis of human saliva to detect differential abundance of candidate proteins for early detection of Oral squamous cell carcinoma

Project description:Oral squamous cell carcinoma (OSCC) is one of the most common cancers worldwide including the Asian subcontinent. Oral carcinoma exhibits inherent heterogeneity in terms of the sites involved, etiology and pathology. They occur at multiple sites such as tongue, buccal mucosa, maxilla. Effective approaches towards improving survival rates in OSCC patients are primarily focused on early detection of the disease. The early clinical indication of the disease follows the development of potentially malignant lesions (leukoplakia/erythro-leukoplakia) with varied rates of transformation. Currently histopathological evaluation of oral biopsy is generally practiced to evaluate potential malignancy. However, human saliva has been considered to be a valuable medium for discovering biomarker molecules for malignancy. Exfoliated cancer cells may release protein or RNA molecules into the saliva or free molecules may be secreted or leaked from cancer cells representing gene expression changes associated with tumor development. Salivary proteins thus provide a strong option for development of non-invasive, point-of-care assays for screening/early detection of oral cancers. Dysplastic leukoplakia (LP) of the oral cavity is a potentially malignant condition for oral squamous cell carcinoma (OSCC), early detection of which is an unmet clinical need. In an effort to develop non-invasive biomarker based method for early detection of the disease, we have used quantitative mass spectrometry to identify differently abundant salivary proteins in OSCC (buccal mucosa) patients and individuals with potential to develop cancer (oral dysplastic leukoplakia) in comparison to healthy controls (with risk habits such as tobacco chewing or smoking).

2019-11-12 | PXD015722 | Pride

Plasma microRNA biomarker detection for mild cognitive impairment using differential correlation analysis

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.

2016-12-10 | GSE90828 | GEO

Salivary Metabolomic Identification of Biomarker Candidates for Canine Oral Cancers Using Chemical Isotope Labeling Liquid Chromatography Mass Spectrometry

Project description:Raw data of manuscript titled "Salivary Metabolomic Identification of Biomarker Candidates for Canine Oral Cancers Using Chemical Isotope Labeling Liquid Chromatography Mass Spectrometry"

2024-07-11 | PXD043656 | JPOST Repository

Detection of potential microRNA biomarker for postmenopausal osteoporosis

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.

2014-12-23 | E-GEOD-64433 | biostudies-arrayexpress

Peripheral blood gene expression as a biomarker for early detection of Alzheimer’s disease

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

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Detection of potential microRNA biomarker for postmenopausal osteoporosis

2014-12-23 | GSE64433 | GEO

Detection of Chemotherapy-Resistant Pancreatic Cancer Using a Glycan Biomarker

Project description:Detection of Chemotherapy-Resistant Pancreatic Cancer Using a Glycan Biomarker

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Oral cancer metastatic gene expression profiling: Identification of novel potential biomarker

Project description:The survival rate of Oral squamous cell carcinoma has been around 50% for several decades because of cancer metastasis. Aberrant long nonconding RNAs (lncRNAs) have been demonstrated to play a crucial role in carcinogenesis and tumor development of OSCC. However, the potential mechanism of metastasis of OSCC remains unclear. In this study, We screened 487 differentially expressed mRNAs (DEmRNAs) and 1507 differentially expressed lncRNAs (DElncRNAs) between OSCC with and without metastasis to construct their interaction network in cis and trans way.

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