Extracellular RNA Biomarkers: New Development of Old Conception

2010 ◽  
Vol 135 ◽  
pp. S81
Author(s):  
Elissaveta Zvetkova ◽  
Georgi Kostov
ExRNA ◽  
2021 ◽  
Vol 0 ◽  
pp. 0-0
Author(s):  
Piyush Gondaliya ◽  
Tushar Patel

2017 ◽  
Vol 49 (5S) ◽  
pp. 87-88
Author(s):  
Anthony J. Griswold ◽  
Jose Perez ◽  
Karen Nuytemans ◽  
Thomas Strong ◽  
Liyong Wang ◽  
...  

2017 ◽  
Vol 132 ◽  
pp. 85-94
Author(s):  
Yong Zhang ◽  
Jie Sun ◽  
Feng Li ◽  
Tristan R. Grogan ◽  
Jose L. Vergara ◽  
...  

2018 ◽  
Vol 64 (10) ◽  
pp. 1513-1521 ◽  
Author(s):  
Feng Li ◽  
Janice M Yoshizawa ◽  
Kyoung-Mee Kim ◽  
Julie Kanjanapangka ◽  
Tristan R Grogan ◽  
...  

Abstract BACKGROUND Biomarkers are needed for noninvasive early detection of gastric cancer (GC). We investigated salivary extracellular RNA (exRNA) biomarkers as potential clinical evaluation tools for GC. METHODS Unstimulated whole saliva samples were prospectively collected from 294 individuals (163 GC and 131 non-GC patients) who underwent endoscopic evaluation at the Samsung Medical Center in Korea. Salivary transcriptomes of 63 GC and 31 non-GC patients were profiled, and mRNA biomarker candidates were verified with reverse transcription quantitative real-time PCR (RT-qPCR). In parallel, microRNA (miRNA) biomarkers were profiled and verified with saliva samples from 10 GC and 10 non-GC patients. Candidate biomarkers were validated with RT-qPCR in an independent cohort of 100/100 saliva samples from GC and non-GC patients. Validated individual markers were configured into a best performance panel. RESULTS We identified 30 mRNA and 15 miRNA candidates whose expression pattern associated with the presence of GC. Among them, 12 mRNA and 6 miRNA candidates were verified with the discovery cohort by RT-qPCR and further validated with the independent cohort (n = 200). The configured biomarker panel consisted of 3 mRNAs (SPINK7, PPL, and SEMA4B) and 2 miRNAs (MIR140-5p and MIR301a), which were all significantly down-regulated in the GC group, and yielded an area under the ROC curve (AUC) of 0.81 (95% CI, 0.72–0.89). When combined with demographic factors, the AUC of the biomarker panel reached 0.87 (95% CI, 0.80–0.93). CONCLUSIONS We have discovered and validated a panel of salivary exRNA biomarkers with credible clinical performance for the detection of GC. Our study demonstrates the potential utility of salivary exRNA biomarkers in screening and risk assessment for GC.


Author(s):  
Matthew Simonton

This book thoroughly reassesses an important but neglected form of government in ancient Greece, the “rule of the few.” The book challenges scholarly orthodoxy by showing that oligarchy was not the default mode of politics from time immemorial, but instead emerged alongside, and in reaction to, democracy. It establishes how oligarchies maintained power in the face of potential citizen resistance. It argues that oligarchs designed distinctive political institutions—such as intra-oligarchic power sharing, targeted repression, and rewards for informants—to prevent collective action among the majority population while sustaining cooperation within their own ranks. To clarify the workings of oligarchic institutions, the book draws on recent social science research on authoritarianism. Like modern authoritarian regimes, ancient Greek oligarchies had to balance coercion with co-optation in order to keep their subjects disorganized and powerless. The book investigates topics such as control of public space, the manipulation of information, and the establishment of patron–client relations, frequently citing parallels with contemporary nondemocratic regimes. It also traces changes over time in antiquity, revealing the processes through which oligarchy lost the ideological battle with democracy for legitimacy. This book represents a major new development in the study of ancient politics. It fills a longstanding gap in our knowledge of nondemocratic government while greatly improving our understanding of forms of power that continue to affect us today.


2019 ◽  
Vol 73 (9) ◽  
pp. 832-841
Author(s):  
Jiro Urata
Keyword(s):  

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