Circulating microRNAs as stable blood-based markers for cancer detection
Patrick S. Mitchell,Rachael K. Parkin,Evan M. Kroh,Brian R. Fritz,Brian R. Fritz,Stacia K. Wyman,Era L. Pogosova-Agadjanyan,Amelia Peterson,Jennifer Noteboom,Kathy O'Briant,April Allen,Daniel W. Lin,Daniel W. Lin,Daniel W. Lin,Nicole Urban,Charles W. Drescher,Beatrice S. Knudsen,Derek L. Stirewalt,Robert Gentleman,Robert L. Vessella,Robert L. Vessella,Peter S. Nelson,Daniel Martin,Daniel Martin,Muneesh Tewari +24 more
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TLDR
It is shown here that miRNAs are present in human plasma in a remarkably stable form that is protected from endogenous RNase activity and established the measurement of tumor-derived mi RNAs in serum or plasma as an important approach for the blood-based detection of human cancer.Abstract:
Improved approaches for the detection of common epithelial malignancies are urgently needed to reduce the worldwide morbidity and mortality caused by cancer. MicroRNAs (miRNAs) are small (≈22 nt) regulatory RNAs that are frequently dysregulated in cancer and have shown promise as tissue-based markers for cancer classification and prognostication. We show here that miRNAs are present in human plasma in a remarkably stable form that is protected from endogenous RNase activity. miRNAs originating from human prostate cancer xenografts enter the circulation, are readily measured in plasma, and can robustly distinguish xenografted mice from controls. This concept extends to cancer in humans, where serum levels of miR-141 (a miRNA expressed in prostate cancer) can distinguish patients with prostate cancer from healthy controls. Our results establish the measurement of tumor-derived miRNAs in serum or plasma as an important approach for the blood-based detection of human cancer.read more
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Down-Regulation of miR-92 in Human Plasma Is a Novel Marker for Acute Leukemia Patients
Masami Tanaka,Kosuke Oikawa,Masakatsu Takanashi,Motoshige Kudo,Junko H. Ohyashiki,Kazuma Ohyashiki,Masahiko Kuroda +6 more
TL;DR: The ratio of miR-92a/miR-638 in plasma has strong potential for clinical application as a novel biomarker for detection of leukemia and is very useful for distinguishing leukemia patients from healthy body.
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Systemic miRNA-195 Differentiates Breast Cancer from Other Malignancies and Is a Potential Biomarker for Detecting Noninvasive and Early Stage Disease
TL;DR: These findings suggest that individual cancers display specific systemic miRNA profiles, which could aid in discriminating among cancer types, and illustrate the potential of systemic miRNAs as sensitive, specific, noninvasive cancer biomarkers.
Journal ArticleDOI
Correlation and quantitation of microRNA aberrant expression in tissues and sera from patients with breast tumor
TL;DR: A high correlation of miRNA expression level was found between breast tumor tissues and sera and should encourage further studies on the use of miRNAs in serum samples as an easy and convenient method of breast cancer screening.
Journal ArticleDOI
Microfluidic-Based Multiplex qRT-PCR Identifies Diagnostic and Prognostic microRNA Signatures in the Sera of Prostate Cancer Patients
Felix Moltzahn,Adam B. Olshen,Lauren Baehner,Andrew S Peek,Lawrence Fong,Hubert Stoppler,Jeff Simko,Joan F. Hilton,Peter R. Carroll,Robert Blelloch +9 more
TL;DR: This work developed a multiplex quantitative reverse transcription PCR method involving the purification of multiplex PCR products followed by uniplex analysis on a microfluidics chip to evaluate 384 human miRNAs and identified miRNA signatures that allow us to diagnose cancer patients and correlate with a prognosis.
Journal ArticleDOI
MicroRNAs in Human Diseases: From Cancer to Cardiovascular Disease
TL;DR: Great discoveries and rapid progress in the past few years on miRNAs provide the hope that mi RNAs will in the near future have a great potential in the diagnosis and treatment of many diseases.
References
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MicroRNA expression profiles classify human cancers
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Journal Article
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George A. Calin,Carlo M. Croce +1 more
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Journal Article
Oncomirs : microRNAs with a role in cancer
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Real-time quantification of microRNAs by stem–loop RT–PCR
Caifu Chen,Dana Ridzon,Adam Broomer,Zhaohui Zhou,Danny H. Lee,Julie T. Nguyen,Maura Barbisin,Nan Lan Xu,Vikram R. Mahuvakar,Mark R. Andersen,Kaiqin Lao,Kenneth J. Livak,Karl J. Guegler +12 more
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