Cargando…
Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer
The mainstay treatment for patients with immediate resectable pancreatic cancer remains upfront surgery, which represents the only potentially curative strategy. Nevertheless, the majority of patients surgically resected for pancreatic cancer experiences disease relapse, even when a combination adju...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114435/ https://www.ncbi.nlm.nih.gov/pubmed/35599791 http://dx.doi.org/10.3389/fsurg.2022.866173 |
_version_ | 1784709773855293440 |
---|---|
author | Merz, Valeria Mangiameli, Domenico Zecchetto, Camilla Quinzii, Alberto Pietrobono, Silvia Messina, Carlo Casalino, Simona Gaule, Marina Pesoni, Camilla Vitale, Pasquale Trentin, Chiara Frisinghelli, Michela Caffo, Orazio Melisi, Davide |
author_facet | Merz, Valeria Mangiameli, Domenico Zecchetto, Camilla Quinzii, Alberto Pietrobono, Silvia Messina, Carlo Casalino, Simona Gaule, Marina Pesoni, Camilla Vitale, Pasquale Trentin, Chiara Frisinghelli, Michela Caffo, Orazio Melisi, Davide |
author_sort | Merz, Valeria |
collection | PubMed |
description | The mainstay treatment for patients with immediate resectable pancreatic cancer remains upfront surgery, which represents the only potentially curative strategy. Nevertheless, the majority of patients surgically resected for pancreatic cancer experiences disease relapse, even when a combination adjuvant therapy is offered. Therefore, aiming at improving disease free survival and overall survival of these patients, there is an increasing interest in evaluating the activity and efficacy of neoadjuvant and perioperative treatments. In this view, it is of utmost importance to find biomarkers able to select patients who may benefit from a preoperative therapy rather than upfront surgical resection. Defined genomic alterations and a dynamic inflammatory microenvironment are the major culprits for disease recurrence and resistance to chemotherapeutic treatments in pancreatic cancer patients. Signal transduction pathways or tumor immune microenvironment could predict early recurrence and response to chemotherapy. In the last decade, distinct molecular subtypes of pancreatic cancer have been described, laying the bases to a tailored therapeutic approach, started firstly in the treatment of advanced disease. Patients with homologous repair deficiency, in particular with mutant germline BRCA genes, represent the first subgroup demonstrating to benefit from specific therapies. A fraction of patients with pancreatic cancer could take advantage of genome sequencing with the aim of identifying possible targetable mutations. These genomic driven strategies could be even more relevant in a potentially curative setting. In this review, we outline putative predictive markers that could help in the next future in tailoring the best therapeutic strategy for pancreatic cancer patients with a potentially curable disease. |
format | Online Article Text |
id | pubmed-9114435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91144352022-05-19 Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer Merz, Valeria Mangiameli, Domenico Zecchetto, Camilla Quinzii, Alberto Pietrobono, Silvia Messina, Carlo Casalino, Simona Gaule, Marina Pesoni, Camilla Vitale, Pasquale Trentin, Chiara Frisinghelli, Michela Caffo, Orazio Melisi, Davide Front Surg Surgery The mainstay treatment for patients with immediate resectable pancreatic cancer remains upfront surgery, which represents the only potentially curative strategy. Nevertheless, the majority of patients surgically resected for pancreatic cancer experiences disease relapse, even when a combination adjuvant therapy is offered. Therefore, aiming at improving disease free survival and overall survival of these patients, there is an increasing interest in evaluating the activity and efficacy of neoadjuvant and perioperative treatments. In this view, it is of utmost importance to find biomarkers able to select patients who may benefit from a preoperative therapy rather than upfront surgical resection. Defined genomic alterations and a dynamic inflammatory microenvironment are the major culprits for disease recurrence and resistance to chemotherapeutic treatments in pancreatic cancer patients. Signal transduction pathways or tumor immune microenvironment could predict early recurrence and response to chemotherapy. In the last decade, distinct molecular subtypes of pancreatic cancer have been described, laying the bases to a tailored therapeutic approach, started firstly in the treatment of advanced disease. Patients with homologous repair deficiency, in particular with mutant germline BRCA genes, represent the first subgroup demonstrating to benefit from specific therapies. A fraction of patients with pancreatic cancer could take advantage of genome sequencing with the aim of identifying possible targetable mutations. These genomic driven strategies could be even more relevant in a potentially curative setting. In this review, we outline putative predictive markers that could help in the next future in tailoring the best therapeutic strategy for pancreatic cancer patients with a potentially curable disease. Frontiers Media S.A. 2022-05-04 /pmc/articles/PMC9114435/ /pubmed/35599791 http://dx.doi.org/10.3389/fsurg.2022.866173 Text en Copyright © 2022 Merz, Mangiameli, Zecchetto, Quinzii, Pietrobono, Messina, Casalino, Gaule, Pesoni, Vitale, Trentin, Frisinghelli, Caffo and Melisi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Surgery Merz, Valeria Mangiameli, Domenico Zecchetto, Camilla Quinzii, Alberto Pietrobono, Silvia Messina, Carlo Casalino, Simona Gaule, Marina Pesoni, Camilla Vitale, Pasquale Trentin, Chiara Frisinghelli, Michela Caffo, Orazio Melisi, Davide Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer |
title | Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer |
title_full | Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer |
title_fullStr | Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer |
title_full_unstemmed | Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer |
title_short | Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer |
title_sort | predictive biomarkers for a personalized approach in resectable pancreatic cancer |
topic | Surgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114435/ https://www.ncbi.nlm.nih.gov/pubmed/35599791 http://dx.doi.org/10.3389/fsurg.2022.866173 |
work_keys_str_mv | AT merzvaleria predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT mangiamelidomenico predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT zecchettocamilla predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT quinziialberto predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT pietrobonosilvia predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT messinacarlo predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT casalinosimona predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT gaulemarina predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT pesonicamilla predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT vitalepasquale predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT trentinchiara predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT frisinghellimichela predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT caffoorazio predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer AT melisidavide predictivebiomarkersforapersonalizedapproachinresectablepancreaticcancer |