Cargando…

Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material

Pancreatic ductal adenocarcinoma (PDAC) continues to carry the lowest survival rates among all solid tumors. A marked resistance against available therapies, late clinical presentation and insufficient means for early diagnosis contribute to the dismal prognosis. Novel biomarkers are thus required t...

Descripción completa

Detalles Bibliográficos
Autores principales: Gress, Thomas M., Lausser, Ludwig, Schirra, Lyn-Rouven, Ortmüller, Lisa, Diels, Ramona, Kong, Bo, Michalski, Christoph W., Hackert, Thilo, Strobel, Oliver, Giese, Nathalia A., Schenk, Miriam, Lawlor, Rita T., Scarpa, Aldo, Kestler, Hans A., Buchholz, Malte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746138/
https://www.ncbi.nlm.nih.gov/pubmed/29296236
http://dx.doi.org/10.18632/oncotarget.22601
_version_ 1783289049311608832
author Gress, Thomas M.
Lausser, Ludwig
Schirra, Lyn-Rouven
Ortmüller, Lisa
Diels, Ramona
Kong, Bo
Michalski, Christoph W.
Hackert, Thilo
Strobel, Oliver
Giese, Nathalia A.
Schenk, Miriam
Lawlor, Rita T.
Scarpa, Aldo
Kestler, Hans A.
Buchholz, Malte
author_facet Gress, Thomas M.
Lausser, Ludwig
Schirra, Lyn-Rouven
Ortmüller, Lisa
Diels, Ramona
Kong, Bo
Michalski, Christoph W.
Hackert, Thilo
Strobel, Oliver
Giese, Nathalia A.
Schenk, Miriam
Lawlor, Rita T.
Scarpa, Aldo
Kestler, Hans A.
Buchholz, Malte
author_sort Gress, Thomas M.
collection PubMed
description Pancreatic ductal adenocarcinoma (PDAC) continues to carry the lowest survival rates among all solid tumors. A marked resistance against available therapies, late clinical presentation and insufficient means for early diagnosis contribute to the dismal prognosis. Novel biomarkers are thus required to aid treatment decisions and improve patient outcomes. We describe here a multi-omics molecular platform that allows for the first time to simultaneously analyze miRNA and mRNA expression patterns from minimal amounts of biopsy material on a single microfluidic TaqMan Array card. Expression profiles were generated from 113 prospectively collected fine needle aspiration biopsies (FNAB) from patients undergoing surgery for suspect masses in the pancreas. Molecular classifiers were constructed using support vector machines, and rigorously evaluated for diagnostic performance using 10×10fold cross validation. The final combined miRNA/mRNA classifier demonstrated a sensitivity of 91.7%, a specificity of 94.5%, and an overall diagnostic accuracy of 93.0% for the differentiation between PDAC and benign pancreatic masses, clearly outperfoming miRNA-only classifiers. The classification algorithm also performed very well in the diagnosis of other types of solid tumors (acinar cell carcinomas, ampullary cancer and distal bile duct carcinomas), but was less suited for the diagnostic analysis of cystic lesions. We thus demonstrate that simultaneous analysis of miRNA and mRNA biomarkers from FNAB samples using multi-omics TaqMan Array cards is suitable to differentiate suspect solid pancreatic masses with high precision.
format Online
Article
Text
id pubmed-5746138
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-57461382018-01-02 Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material Gress, Thomas M. Lausser, Ludwig Schirra, Lyn-Rouven Ortmüller, Lisa Diels, Ramona Kong, Bo Michalski, Christoph W. Hackert, Thilo Strobel, Oliver Giese, Nathalia A. Schenk, Miriam Lawlor, Rita T. Scarpa, Aldo Kestler, Hans A. Buchholz, Malte Oncotarget Research Paper Pancreatic ductal adenocarcinoma (PDAC) continues to carry the lowest survival rates among all solid tumors. A marked resistance against available therapies, late clinical presentation and insufficient means for early diagnosis contribute to the dismal prognosis. Novel biomarkers are thus required to aid treatment decisions and improve patient outcomes. We describe here a multi-omics molecular platform that allows for the first time to simultaneously analyze miRNA and mRNA expression patterns from minimal amounts of biopsy material on a single microfluidic TaqMan Array card. Expression profiles were generated from 113 prospectively collected fine needle aspiration biopsies (FNAB) from patients undergoing surgery for suspect masses in the pancreas. Molecular classifiers were constructed using support vector machines, and rigorously evaluated for diagnostic performance using 10×10fold cross validation. The final combined miRNA/mRNA classifier demonstrated a sensitivity of 91.7%, a specificity of 94.5%, and an overall diagnostic accuracy of 93.0% for the differentiation between PDAC and benign pancreatic masses, clearly outperfoming miRNA-only classifiers. The classification algorithm also performed very well in the diagnosis of other types of solid tumors (acinar cell carcinomas, ampullary cancer and distal bile duct carcinomas), but was less suited for the diagnostic analysis of cystic lesions. We thus demonstrate that simultaneous analysis of miRNA and mRNA biomarkers from FNAB samples using multi-omics TaqMan Array cards is suitable to differentiate suspect solid pancreatic masses with high precision. Impact Journals LLC 2017-11-21 /pmc/articles/PMC5746138/ /pubmed/29296236 http://dx.doi.org/10.18632/oncotarget.22601 Text en Copyright: © 2017 Gress et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Gress, Thomas M.
Lausser, Ludwig
Schirra, Lyn-Rouven
Ortmüller, Lisa
Diels, Ramona
Kong, Bo
Michalski, Christoph W.
Hackert, Thilo
Strobel, Oliver
Giese, Nathalia A.
Schenk, Miriam
Lawlor, Rita T.
Scarpa, Aldo
Kestler, Hans A.
Buchholz, Malte
Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material
title Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material
title_full Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material
title_fullStr Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material
title_full_unstemmed Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material
title_short Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material
title_sort combined microrna and mrna microfluidic taqman array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746138/
https://www.ncbi.nlm.nih.gov/pubmed/29296236
http://dx.doi.org/10.18632/oncotarget.22601
work_keys_str_mv AT gressthomasm combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT lausserludwig combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT schirralynrouven combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT ortmullerlisa combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT dielsramona combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT kongbo combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT michalskichristophw combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT hackertthilo combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT strobeloliver combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT giesenathaliaa combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT schenkmiriam combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT lawlorritat combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT scarpaaldo combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT kestlerhansa combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial
AT buchholzmalte combinedmicrornaandmrnamicrofluidictaqmanarraycardsforthediagnosisofmalignancyofmultipletypesofpancreaticobiliarytumorsinfineneedleaspirationmaterial