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Mayes C, Seashols-Williams S, Hughes-Stamm S. A capillary electrophoresis method for identifying forensically relevant body fluids using miRNAs. Leg Med (Tokyo) 2017; 30:1-4. [PMID: 29125963 DOI: 10.1016/j.legalmed.2017.10.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 10/25/2017] [Accepted: 10/30/2017] [Indexed: 12/20/2022]
Abstract
Body fluid identification (BFID) can provide crucial information during the course of an investigation. In recent years, microRNAs (miRNAs) have shown considerable body fluid specificity, are able to be co-extracted with DNA, and their small size (18-25 nucleotides) make them ideal for analyzing highly degraded forensic samples. In this study, we designed a preliminary 8-marker system for BFID including an endogenous reference gene (let-7g) to differentiate between venous blood (miR-451a and miR-142-3p), menstrual blood (miR-141-3p and miR-412-3p), semen (miR-891a and miR-10b), and saliva (miR-205) using a capillary electrophoresis approach. This panel uses a linear primer system in order to incorporate additional miRNA markers by forming a multiplex system. The miRNA system was able to distinguish between venous blood, menstrual blood, semen, and saliva using a rudimentary data interpretation strategy. All STR amplifications from co-extracted DNA yielded complete profiles from human identification purposes.
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Affiliation(s)
- Carrie Mayes
- Department of Forensic Science, College of Criminal Justice, Sam Houston State University, 1003 Bowers Blvd., Huntsville, TX 77340-2525, United States.
| | - Sarah Seashols-Williams
- Department of Forensic Science, Virginia Commonwealth University, Box 843079, Richmond, VA 23284, United States
| | - Sheree Hughes-Stamm
- Department of Forensic Science, College of Criminal Justice, Sam Houston State University, 1003 Bowers Blvd., Huntsville, TX 77340-2525, United States
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ADAM Metalloprotease-Released Cancer Biomarkers. Trends Cancer 2017; 3:482-490. [DOI: 10.1016/j.trecan.2017.05.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 04/28/2017] [Accepted: 05/03/2017] [Indexed: 12/14/2022]
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53
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Daniel R, Wu Q, Williams V, Clark G, Guruli G, Zehner Z. A Panel of MicroRNAs as Diagnostic Biomarkers for the Identification of Prostate Cancer. Int J Mol Sci 2017. [PMID: 28621736 PMCID: PMC5486103 DOI: 10.3390/ijms18061281] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer is the most common non-cutaneous cancer among men; yet, current diagnostic methods are insufficient, and more reliable diagnostic markers need to be developed. One answer that can bridge this gap may lie in microRNAs. These small RNA molecules impact protein expression at the translational level, regulating important cellular pathways, the dysregulation of which can exert tumorigenic effects contributing to cancer. In this study, high throughput sequencing of small RNAs extracted from blood from 28 prostate cancer patients at initial stages of diagnosis and prior to treatment was used to identify microRNAs that could be utilized as diagnostic biomarkers for prostate cancer compared to 12 healthy controls. In addition, a group of four microRNAs (miR-1468-3p, miR-146a-5p, miR-1538 and miR-197-3p) was identified as normalization standards for subsequent qRT-PCR confirmation. qRT-PCR analysis corroborated microRNA sequencing results for the seven top dysregulated microRNAs. The abundance of four microRNAs (miR-127-3p, miR-204-5p, miR-329-3p and miR-487b-3p) was upregulated in blood, whereas the levels of three microRNAs (miR-32-5p, miR-20a-5p and miR-454-3p) were downregulated. Data analysis of the receiver operating curves for these selected microRNAs exhibited a better correlation with prostate cancer than PSA (prostate-specific antigen), the current gold standard for prostate cancer detection. In summary, a panel of seven microRNAs is proposed, many of which have prostate-specific targets, which may represent a significant improvement over current testing methods.
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Affiliation(s)
- Rhonda Daniel
- Department of Biochemistry and Molecular Biology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0614, USA.
| | - Qianni Wu
- Department of Biochemistry and Molecular Biology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0614, USA.
| | - Vernell Williams
- Molecular Diagnostic Laboratory, Department of Pathology, VCU Health System, Virginia Commonwealth University, Richmond, VA 23298-0248, USA.
| | - Gene Clark
- Department of Biochemistry and Molecular Biology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0614, USA.
| | - Georgi Guruli
- Division of Urology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0037, USA.
| | - Zendra Zehner
- Department of Biochemistry and Molecular Biology, VCU Medical Center and the Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298-0614, USA.
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Xi X, Li T, Huang Y, Sun J, Zhu Y, Yang Y, Lu ZJ. RNA Biomarkers: Frontier of Precision Medicine for Cancer. Noncoding RNA 2017; 3:ncrna3010009. [PMID: 29657281 PMCID: PMC5832009 DOI: 10.3390/ncrna3010009] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Accepted: 02/13/2017] [Indexed: 12/15/2022] Open
Abstract
As an essential part of central dogma, RNA delivers genetic and regulatory information and reflects cellular states. Based on high-throughput sequencing technologies, cumulating data show that various RNA molecules are able to serve as biomarkers for the diagnosis and prognosis of various diseases, for instance, cancer. In particular, detectable in various bio-fluids, such as serum, saliva and urine, extracellular RNAs (exRNAs) are emerging as non-invasive biomarkers for earlier cancer diagnosis, tumor progression monitor, and prediction of therapy response. In this review, we summarize the latest studies on various types of RNA biomarkers, especially extracellular RNAs, in cancer diagnosis and prognosis, and illustrate several well-known RNA biomarkers of clinical utility. In addition, we describe and discuss general procedures and issues in investigating exRNA biomarkers, and perspectives on utility of exRNAs in precision medicine.
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Affiliation(s)
- Xiaochen Xi
- MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, Center for Plant Biology and Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
| | - Tianxiao Li
- MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, Center for Plant Biology and Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
| | - Yiming Huang
- MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, Center for Plant Biology and Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
| | - Jiahui Sun
- MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, Center for Plant Biology and Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
| | - Yumin Zhu
- MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, Center for Plant Biology and Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
| | - Yang Yang
- MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, Center for Plant Biology and Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
| | - Zhi John Lu
- MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, Center for Plant Biology and Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
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Forensic analysis. Electrophoresis 2016; 37:2731-2733. [DOI: 10.1002/elps.201670174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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