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IgG(+) Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer
(1) Background: Pancreatic ductal adenocarcinoma (PDAC) is expected to be the second-leading cause of cancer deaths by 2030. Imaging techniques are the standard for monitoring the therapy response in PDAC, but these techniques have considerable limits, including delayed disease progression detection...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496671/ https://www.ncbi.nlm.nih.gov/pubmed/36139375 http://dx.doi.org/10.3390/cells11182800 |
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author | Couto, Nuno Elzanowska, Julia Maia, Joana Batista, Silvia Pereira, Catarina Esteves Beck, Hans Christian Carvalho, Ana Sofia Strano Moraes, Maria Carolina Carvalho, Carlos Oliveira, Manuela Matthiesen, Rune Costa-Silva, Bruno |
author_facet | Couto, Nuno Elzanowska, Julia Maia, Joana Batista, Silvia Pereira, Catarina Esteves Beck, Hans Christian Carvalho, Ana Sofia Strano Moraes, Maria Carolina Carvalho, Carlos Oliveira, Manuela Matthiesen, Rune Costa-Silva, Bruno |
author_sort | Couto, Nuno |
collection | PubMed |
description | (1) Background: Pancreatic ductal adenocarcinoma (PDAC) is expected to be the second-leading cause of cancer deaths by 2030. Imaging techniques are the standard for monitoring the therapy response in PDAC, but these techniques have considerable limits, including delayed disease progression detection and difficulty in distinguishing benign from malignant lesions. Extracellular vesicle (EV) liquid biopsy is an emerging diagnosis modality. Nonetheless, the majority of research for EV-based diagnosis relies on point analyses of EVs at specified times, while longitudinal EV population studies before and during therapeutic interventions remain largely unexplored. (2) Methods: We analyzed plasma EV protein composition at diagnosis and throughout PDAC therapy. (3) Results: We found that IgG is linked with the diagnosis of PDAC and the patient’s response to therapy, and that the IgG+ EV population increases with disease progression and reduces with treatment response. Importantly, this covers PDAC patients devoid of the standard PDAC seric marker CA19.9 expression. We also observed that IgG is bound to EVs via the tumor antigen MAGE B1, and that this is independent of the patient’s inflammatory condition and IgG seric levels. (4) Conclusions: We here propose that a population analysis of IgG+ EVs in PDAC plasma represents a novel method to supplement the monitoring of the PDAC treatment response. |
format | Online Article Text |
id | pubmed-9496671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94966712022-09-23 IgG(+) Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer Couto, Nuno Elzanowska, Julia Maia, Joana Batista, Silvia Pereira, Catarina Esteves Beck, Hans Christian Carvalho, Ana Sofia Strano Moraes, Maria Carolina Carvalho, Carlos Oliveira, Manuela Matthiesen, Rune Costa-Silva, Bruno Cells Article (1) Background: Pancreatic ductal adenocarcinoma (PDAC) is expected to be the second-leading cause of cancer deaths by 2030. Imaging techniques are the standard for monitoring the therapy response in PDAC, but these techniques have considerable limits, including delayed disease progression detection and difficulty in distinguishing benign from malignant lesions. Extracellular vesicle (EV) liquid biopsy is an emerging diagnosis modality. Nonetheless, the majority of research for EV-based diagnosis relies on point analyses of EVs at specified times, while longitudinal EV population studies before and during therapeutic interventions remain largely unexplored. (2) Methods: We analyzed plasma EV protein composition at diagnosis and throughout PDAC therapy. (3) Results: We found that IgG is linked with the diagnosis of PDAC and the patient’s response to therapy, and that the IgG+ EV population increases with disease progression and reduces with treatment response. Importantly, this covers PDAC patients devoid of the standard PDAC seric marker CA19.9 expression. We also observed that IgG is bound to EVs via the tumor antigen MAGE B1, and that this is independent of the patient’s inflammatory condition and IgG seric levels. (4) Conclusions: We here propose that a population analysis of IgG+ EVs in PDAC plasma represents a novel method to supplement the monitoring of the PDAC treatment response. MDPI 2022-09-08 /pmc/articles/PMC9496671/ /pubmed/36139375 http://dx.doi.org/10.3390/cells11182800 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Couto, Nuno Elzanowska, Julia Maia, Joana Batista, Silvia Pereira, Catarina Esteves Beck, Hans Christian Carvalho, Ana Sofia Strano Moraes, Maria Carolina Carvalho, Carlos Oliveira, Manuela Matthiesen, Rune Costa-Silva, Bruno IgG(+) Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer |
title | IgG(+) Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer |
title_full | IgG(+) Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer |
title_fullStr | IgG(+) Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer |
title_full_unstemmed | IgG(+) Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer |
title_short | IgG(+) Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer |
title_sort | igg(+) extracellular vesicles measure therapeutic response in advanced pancreatic cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496671/ https://www.ncbi.nlm.nih.gov/pubmed/36139375 http://dx.doi.org/10.3390/cells11182800 |
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