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Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs.
- Source :
-
BMC medical genomics [BMC Med Genomics] 2019 May 16; Vol. 12 (1), pp. 62. Date of Electronic Publication: 2019 May 16. - Publication Year :
- 2019
-
Abstract
- Background: Pancreatic 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.<br />Methods: We 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.<br />Results: Statistical 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.<br />Conclusions: These results suggested three candidate serum miRNAs (mir-744-5p, mir-409-3p, and mir-128-3p) as potential biomarkers for PC and BTC diagnosis.
- Subjects :
- Biliary Tract Neoplasms blood
Biomarkers, Tumor blood
Computational Biology
Humans
MicroRNAs blood
Pancreatic Neoplasms blood
Biliary Tract Neoplasms diagnosis
Biliary Tract Neoplasms genetics
Biomarkers, Tumor genetics
MicroRNAs genetics
Pancreatic Neoplasms diagnosis
Pancreatic Neoplasms genetics
Sequence Analysis, RNA
Subjects
Details
- Language :
- English
- ISSN :
- 1755-8794
- Volume :
- 12
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- BMC medical genomics
- Publication Type :
- Academic Journal
- Accession number :
- 31096984
- Full Text :
- https://doi.org/10.1186/s12920-019-0521-8