Cargando…
Quantification of circulating microRNAs by droplet digital PCR for cancer detection
OBJECTIVE: Circulating cell-free microRNAs (miRNAs) which consist of short-sequence RNAs are released from cells into the blood stream and has emerged as new biomarkers in the clinical cancer diagnosis and treatment. For instance, ovarian cancer comprises one of the three major malignant tumor types...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379807/ https://www.ncbi.nlm.nih.gov/pubmed/32703272 http://dx.doi.org/10.1186/s13104-020-05190-3 |
_version_ | 1783562724381294592 |
---|---|
author | Cirillo, Priscila D. R. Margiotti, Katia Mesoraca, Alvaro Giorlandino, Claudio |
author_facet | Cirillo, Priscila D. R. Margiotti, Katia Mesoraca, Alvaro Giorlandino, Claudio |
author_sort | Cirillo, Priscila D. R. |
collection | PubMed |
description | OBJECTIVE: Circulating cell-free microRNAs (miRNAs) which consist of short-sequence RNAs are released from cells into the blood stream and has emerged as new biomarkers in the clinical cancer diagnosis and treatment. For instance, ovarian cancer comprises one of the three major malignant tumor types in the female reproductive system. The mortality rate of this cancer is the highest among all gynecological tumors, with ovarian cancer metastasis constituting an important cause of death. Therefore, development of a diagnostic tool that enables the ovarian cancer diagnosis in earlier stages is urgent. RESULTS: We have described an efficient protocol for an accurate absolute quantification of circulating miRNAs in healthy and ovarian cancer serum samples. Our data showed that ddPCR methodology can accurately measure circulating miRNAs levels and that can be a useful tool in biomarkers discovery for ovarian cancer detection. |
format | Online Article Text |
id | pubmed-7379807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73798072020-08-04 Quantification of circulating microRNAs by droplet digital PCR for cancer detection Cirillo, Priscila D. R. Margiotti, Katia Mesoraca, Alvaro Giorlandino, Claudio BMC Res Notes Research Note OBJECTIVE: Circulating cell-free microRNAs (miRNAs) which consist of short-sequence RNAs are released from cells into the blood stream and has emerged as new biomarkers in the clinical cancer diagnosis and treatment. For instance, ovarian cancer comprises one of the three major malignant tumor types in the female reproductive system. The mortality rate of this cancer is the highest among all gynecological tumors, with ovarian cancer metastasis constituting an important cause of death. Therefore, development of a diagnostic tool that enables the ovarian cancer diagnosis in earlier stages is urgent. RESULTS: We have described an efficient protocol for an accurate absolute quantification of circulating miRNAs in healthy and ovarian cancer serum samples. Our data showed that ddPCR methodology can accurately measure circulating miRNAs levels and that can be a useful tool in biomarkers discovery for ovarian cancer detection. BioMed Central 2020-07-23 /pmc/articles/PMC7379807/ /pubmed/32703272 http://dx.doi.org/10.1186/s13104-020-05190-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Cirillo, Priscila D. R. Margiotti, Katia Mesoraca, Alvaro Giorlandino, Claudio Quantification of circulating microRNAs by droplet digital PCR for cancer detection |
title | Quantification of circulating microRNAs by droplet digital PCR for cancer detection |
title_full | Quantification of circulating microRNAs by droplet digital PCR for cancer detection |
title_fullStr | Quantification of circulating microRNAs by droplet digital PCR for cancer detection |
title_full_unstemmed | Quantification of circulating microRNAs by droplet digital PCR for cancer detection |
title_short | Quantification of circulating microRNAs by droplet digital PCR for cancer detection |
title_sort | quantification of circulating micrornas by droplet digital pcr for cancer detection |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379807/ https://www.ncbi.nlm.nih.gov/pubmed/32703272 http://dx.doi.org/10.1186/s13104-020-05190-3 |
work_keys_str_mv | AT cirilloprisciladr quantificationofcirculatingmicrornasbydropletdigitalpcrforcancerdetection AT margiottikatia quantificationofcirculatingmicrornasbydropletdigitalpcrforcancerdetection AT mesoracaalvaro quantificationofcirculatingmicrornasbydropletdigitalpcrforcancerdetection AT giorlandinoclaudio quantificationofcirculatingmicrornasbydropletdigitalpcrforcancerdetection |