Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs

被引:20
|
作者
Kim, Kwondo [1 ,2 ]
Yoo, DongAhn [1 ,2 ]
Lee, Hee Seung [3 ]
Lee, Kyong Joo [3 ]
Park, Soo Been [3 ]
Kim, Chanyang [3 ]
Jo, Jung Hyun [3 ,4 ]
Jung, Dawoon E. [5 ]
Song, Si Young [3 ,5 ]
机构
[1] Seoul Natl Univ, Interdisciplinary Program Bioinformat, Seoul, South Korea
[2] C&K Genom, C-1008,H Businesspk,26 Beobwon Ro 9 Gil, Seoul, South Korea
[3] Yonsei Univ, Coll Med, Dept Internal Med, Div Gastroenterol, 50-1 Yonsei Ro, Seoul, South Korea
[4] Hallym Univ, Hangang Sacred Heart Hosp, Dept Internal Med, Div Gastroenterol,Coll Med, Seoul, South Korea
[5] Yonsei Univ, Coll Med, Dept Internal Med, Inst Gastroenterol, 50-1 Yonsei Ro, Seoul, South Korea
关键词
Serum miRNA; Pancreatic cancer; Biliary tract cancer; Diagnosis; Biomarker; EXPRESSION ANALYSIS; CLINICAL UTILITY; CELL-CYCLE; PROFILES; INVASION; ADENOCARCINOMA; PROGNOSIS; APOPTOSIS; SURVIVAL; ZEB1;
D O I
10.1186/s12920-019-0521-8
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
BackgroundPancreatic and biliary tract cancer (PC and BTC, respectively) are difficult to diagnose because of their clinical characteristics; however, recent studies suggest that serum microRNAs (miRNAs) might be the key to developing more efficient diagnostic methods for these cancers.MethodsWe analysed the genome-wide expression of serum miRNAs in PC and BTC patients to identify novel biomarker candidates using high-throughput sequencing and experimentally validated miRNAs on clinical samples.ResultsStatistical and classification analysis of the serum miRNA-expression profiles of 55 patient samples showed distinguishable patterns between cancer patients and healthy controls; however, we were unable to distinguish the two cancers. We found that three of the highest performing miRNAs were capable of distinguishing cancer patients from controls, with an accuracy of 92.7%. Additionally, dysregulation of these three cancer-specific miRNAs was demonstrated in an independent sample group by quantitative reverse transcription polymerase chain reaction.ConclusionsThese results suggested three candidate serum miRNAs (mir-744-5p, mir-409-3p, and mir-128-3p) as potential biomarkers for PC and BTC diagnosis.
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页数:11
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