GABŁO, Natalia Anna, Karolína TRACHTOVÁ, Vladimír PROCHÁZKA, Jan HLAVSA, Tomáš GROLICH, Igor KISS, Josef SROVNAL, Alona REHULKOVA, Martin LOVECEK, Pavel SKALICKY, Ioana BERINDAN-NEAGOE, Zdeněk KALA and Ondřej SLABÝ. Identification and Validation of Circulating Micrornas as Prognostic Biomarkers in Pancreatic Ductal Adenocarcinoma Patients Undergoing Surgical Resection. Journal of Clinical Medicine. BASEL: MDPI, 2020, vol. 9, No 8, p. 1-12. ISSN 2077-0383. Available from: https://dx.doi.org/10.3390/jcm9082440.
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Basic information
Original name Identification and Validation of Circulating Micrornas as Prognostic Biomarkers in Pancreatic Ductal Adenocarcinoma Patients Undergoing Surgical Resection
Authors GABŁO, Natalia Anna (616 Poland, belonging to the institution), Karolína TRACHTOVÁ (203 Czech Republic, belonging to the institution), Vladimír PROCHÁZKA (203 Czech Republic, belonging to the institution), Jan HLAVSA (203 Czech Republic, belonging to the institution), Tomáš GROLICH (203 Czech Republic, belonging to the institution), Igor KISS (203 Czech Republic), Josef SROVNAL (203 Czech Republic), Alona REHULKOVA (203 Czech Republic), Martin LOVECEK (203 Czech Republic), Pavel SKALICKY (203 Czech Republic), Ioana BERINDAN-NEAGOE (642 Romania), Zdeněk KALA (203 Czech Republic, belonging to the institution) and Ondřej SLABÝ (203 Czech Republic, belonging to the institution).
Edition Journal of Clinical Medicine, BASEL, MDPI, 2020, 2077-0383.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30218 General and internal medicine
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.241
RIV identification code RIV/00216224:14740/20:00118646
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.3390/jcm9082440
UT WoS 000568145300001
Keywords in English Pancreatic ductal adenocarcinoma; prognosis; microRNAs
Tags 14110223, 14110230, 14110513, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 3/3/2021 15:25.
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal and aggressive cancers with a less than 6% five-year survival rate. Circulating microRNAs (miRNAs) are emerging as a useful tool for non-invasive diagnosis and prognosis estimation in the various cancer types, including PDAC. Our study aimed to evaluate whether miRNAs in the pre-operative blood plasma specimen have the potential to predict the prognosis of PDAC patients. In total, 112 PDAC patients planned for surgical resection were enrolled in our prospective study. To identify prognostic miRNAs, we used small RNA sequencing in 24 plasma samples of PDAC patients with poor prognosis (overall survival (OS) < 16 months) and 24 plasma samples of PDAC patients with a good prognosis (OS > 20 months). qPCR validation of selected miRNA candidates was performed in the independent cohort of PDAC patients (n= 64). In the discovery phase of the study, we identified 44 miRNAs with significantly different levels in the plasma samples of the group of good and poor prognosis patients. Among these miRNAs, 23 showed lower levels, and 21 showed higher levels in plasma specimens from PDAC patients with poor prognosis. Eleven miRNAs were selected for the validation, but only miR-99a-5p and miR-365a-3p were confirmed to have significantly lower levels and miR-200c-3p higher levels in plasma samples of poor prognosis cases. Using the combination of these 3-miRNA levels, we were able to identify the patients with poor prognosis with sensitivity 85% and specificity 80% (Area Under the Curve = 0.890). Overall, 3-miRNA prognostic score associated with OS was identified in the pre-operative blood plasma samples of PDAC patients undergoing surgical resection. Following further independent validations, the detection of these miRNA may enable identification of PDAC patients who have no survival benefit from the surgical treatment, which is associated with the high morbidity rates.
Links
NV16-31314A, research and development projectName: Identifikace cirkulujících mikroRNA umožňujících prognostickou stratifikaci a selekci pacientů nejvíce profitujících z chirurgické léčby
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