Cargando…

Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients’ Blood Plasma Samples

[Image: see text] Biosensors based on graphene field effect transistors (GFETs) have the potential to enable the development of point-of-care diagnostic tools for early stage disease detection. However, issues with reproducibility and manufacturing yields of graphene sensors, but also with Debye scr...

Descripción completa

Detalles Bibliográficos
Autores principales: Yin, Tianyi, Xu, Lizhou, Gil, Bruno, Merali, Nabeel, Sokolikova, Maria S., Gaboriau, David C. A., Liu, Daniel S. K., Muhammad Mustafa, Ahmad Nizamuddin, Alodan, Sarah, Chen, Michael, Txoperena, Oihana, Arrastua, María, Gomez, Juan Manuel, Ontoso, Nerea, Elicegui, Marta, Torres, Elias, Li, Danyang, Mattevi, Cecilia, Frampton, Adam E., Jiao, Long R., Ramadan, Sami, Klein, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416564/
https://www.ncbi.nlm.nih.gov/pubmed/37470391
http://dx.doi.org/10.1021/acsnano.3c01812
_version_ 1785087809124564992
author Yin, Tianyi
Xu, Lizhou
Gil, Bruno
Merali, Nabeel
Sokolikova, Maria S.
Gaboriau, David C. A.
Liu, Daniel S. K.
Muhammad Mustafa, Ahmad Nizamuddin
Alodan, Sarah
Chen, Michael
Txoperena, Oihana
Arrastua, María
Gomez, Juan Manuel
Ontoso, Nerea
Elicegui, Marta
Torres, Elias
Li, Danyang
Mattevi, Cecilia
Frampton, Adam E.
Jiao, Long R.
Ramadan, Sami
Klein, Norbert
author_facet Yin, Tianyi
Xu, Lizhou
Gil, Bruno
Merali, Nabeel
Sokolikova, Maria S.
Gaboriau, David C. A.
Liu, Daniel S. K.
Muhammad Mustafa, Ahmad Nizamuddin
Alodan, Sarah
Chen, Michael
Txoperena, Oihana
Arrastua, María
Gomez, Juan Manuel
Ontoso, Nerea
Elicegui, Marta
Torres, Elias
Li, Danyang
Mattevi, Cecilia
Frampton, Adam E.
Jiao, Long R.
Ramadan, Sami
Klein, Norbert
author_sort Yin, Tianyi
collection PubMed
description [Image: see text] Biosensors based on graphene field effect transistors (GFETs) have the potential to enable the development of point-of-care diagnostic tools for early stage disease detection. However, issues with reproducibility and manufacturing yields of graphene sensors, but also with Debye screening and unwanted detection of nonspecific species, have prevented the wider clinical use of graphene technology. Here, we demonstrate that our wafer-scalable GFETs array platform enables meaningful clinical results. As a case study of high clinical relevance, we demonstrate an accurate and robust portable GFET array biosensor platform for the detection of pancreatic ductal adenocarcinoma (PDAC) in patients’ plasma through specific exosomes (GPC-1 expression) within 45 min. In order to facilitate reproducible detection in blood plasma, we optimized the analytical performance of GFET biosensors via the application of an internal control channel and the development of an optimized test protocol. Based on samples from 18 PDAC patients and 8 healthy controls, the GFET biosensor arrays could accurately discriminate between the two groups while being able to detect early cancer stages including stages 1 and 2. Furthermore, we confirmed the higher expression of GPC-1 and found that the concentration in PDAC plasma was on average more than 1 order of magnitude higher than in healthy samples. We found that these characteristics of GPC-1 cancerous exosomes are responsible for an increase in the number of target exosomes on the surface of graphene, leading to an improved signal response of the GFET biosensors. This GFET biosensor platform holds great promise for the development of an accurate tool for the rapid diagnosis of pancreatic cancer.
format Online
Article
Text
id pubmed-10416564
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-104165642023-08-12 Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients’ Blood Plasma Samples Yin, Tianyi Xu, Lizhou Gil, Bruno Merali, Nabeel Sokolikova, Maria S. Gaboriau, David C. A. Liu, Daniel S. K. Muhammad Mustafa, Ahmad Nizamuddin Alodan, Sarah Chen, Michael Txoperena, Oihana Arrastua, María Gomez, Juan Manuel Ontoso, Nerea Elicegui, Marta Torres, Elias Li, Danyang Mattevi, Cecilia Frampton, Adam E. Jiao, Long R. Ramadan, Sami Klein, Norbert ACS Nano [Image: see text] Biosensors based on graphene field effect transistors (GFETs) have the potential to enable the development of point-of-care diagnostic tools for early stage disease detection. However, issues with reproducibility and manufacturing yields of graphene sensors, but also with Debye screening and unwanted detection of nonspecific species, have prevented the wider clinical use of graphene technology. Here, we demonstrate that our wafer-scalable GFETs array platform enables meaningful clinical results. As a case study of high clinical relevance, we demonstrate an accurate and robust portable GFET array biosensor platform for the detection of pancreatic ductal adenocarcinoma (PDAC) in patients’ plasma through specific exosomes (GPC-1 expression) within 45 min. In order to facilitate reproducible detection in blood plasma, we optimized the analytical performance of GFET biosensors via the application of an internal control channel and the development of an optimized test protocol. Based on samples from 18 PDAC patients and 8 healthy controls, the GFET biosensor arrays could accurately discriminate between the two groups while being able to detect early cancer stages including stages 1 and 2. Furthermore, we confirmed the higher expression of GPC-1 and found that the concentration in PDAC plasma was on average more than 1 order of magnitude higher than in healthy samples. We found that these characteristics of GPC-1 cancerous exosomes are responsible for an increase in the number of target exosomes on the surface of graphene, leading to an improved signal response of the GFET biosensors. This GFET biosensor platform holds great promise for the development of an accurate tool for the rapid diagnosis of pancreatic cancer. American Chemical Society 2023-07-20 /pmc/articles/PMC10416564/ /pubmed/37470391 http://dx.doi.org/10.1021/acsnano.3c01812 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Yin, Tianyi
Xu, Lizhou
Gil, Bruno
Merali, Nabeel
Sokolikova, Maria S.
Gaboriau, David C. A.
Liu, Daniel S. K.
Muhammad Mustafa, Ahmad Nizamuddin
Alodan, Sarah
Chen, Michael
Txoperena, Oihana
Arrastua, María
Gomez, Juan Manuel
Ontoso, Nerea
Elicegui, Marta
Torres, Elias
Li, Danyang
Mattevi, Cecilia
Frampton, Adam E.
Jiao, Long R.
Ramadan, Sami
Klein, Norbert
Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients’ Blood Plasma Samples
title Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients’ Blood Plasma Samples
title_full Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients’ Blood Plasma Samples
title_fullStr Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients’ Blood Plasma Samples
title_full_unstemmed Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients’ Blood Plasma Samples
title_short Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients’ Blood Plasma Samples
title_sort graphene sensor arrays for rapid and accurate detection of pancreatic cancer exosomes in patients’ blood plasma samples
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416564/
https://www.ncbi.nlm.nih.gov/pubmed/37470391
http://dx.doi.org/10.1021/acsnano.3c01812
work_keys_str_mv AT yintianyi graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT xulizhou graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT gilbruno graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT meralinabeel graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT sokolikovamarias graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT gaboriaudavidca graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT liudanielsk graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT muhammadmustafaahmadnizamuddin graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT alodansarah graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT chenmichael graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT txoperenaoihana graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT arrastuamaria graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT gomezjuanmanuel graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT ontosonerea graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT eliceguimarta graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT torreselias graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT lidanyang graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT mattevicecilia graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT framptonadame graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT jiaolongr graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT ramadansami graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples
AT kleinnorbert graphenesensorarraysforrapidandaccuratedetectionofpancreaticcancerexosomesinpatientsbloodplasmasamples