Characterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool

Background: Unfortunately, the majority of patients with colorectal cancer liver metastases (CRCLM) experience disease recurrence following hepatic surgery. The key challenge is therefore optimal patient selection, which currently relies on anatomical and clinical parameters. Exploring a potential m...

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Autores principales:	Sternschuss Michal, Goshen-Lago Tal, Perl Gali, Goldenfeld Miki, Brook Elana, Brenner Baroch, Kashtan Hanoch, Ben Aharon Irit, Haddad Riad
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	colorectal cancer liver metastasis hepatic surgery prognosis biomarkers molecular signature Medicine R
Acceso en línea:	https://doaj.org/article/1c1acfbe52094258b0fb61410f7250e0
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spelling	oai:doaj.org-article:1c1acfbe52094258b0fb61410f7250e02021-11-25T18:06:48ZCharacterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool10.3390/jpm111110592075-4426https://doaj.org/article/1c1acfbe52094258b0fb61410f7250e02021-10-01T00:00:00Zhttps://www.mdpi.com/2075-4426/11/11/1059https://doaj.org/toc/2075-4426Background: Unfortunately, the majority of patients with colorectal cancer liver metastases (CRCLM) experience disease recurrence following hepatic surgery. The key challenge is therefore optimal patient selection, which currently relies on anatomical and clinical parameters. Exploring a potential molecular signature may be predictive for seeing a clinical benefit from CRCLM resection. Methods: Consecutive patients who underwent CRCLM resection at our medical center between 2006 and 2016 were divided into cohorts of “good prognosis” (GP) or “poor prognosis” (PP) based on the time interval between their resection and disease recurrence. Proteomic analysis was performed on the surgical specimen and correlation analysis was carried out with demographics and clinical outcomes. Results: Proteomic analysis revealed 99 differentially expressed proteins of which a third were associated with extracellular matrix (ECM) pathways as the matrix metalloproteinases (MMPs). Multivariate analysis yielded a statistically differential proteomic pattern between the cohort regardless of perioperative treatment. Conclusion: Our results indicate a different proteomic landscape in the cohort of patients who had a clinical benefit from CRCLM resection which appears to be correlated with ECM pathways. Further prospective studies are needed to define the role of ECM pathways in prognostics and patient selection for surgical procedures for CRCLM.Sternschuss MichalGoshen-Lago TalPerl GaliGoldenfeld MikiBrook ElanaBrenner BarochKashtan HanochBen Aharon IritHaddad RiadMDPI AGarticlecolorectal cancer liver metastasishepatic surgeryprognosisbiomarkersmolecular signatureMedicineRENJournal of Personalized Medicine, Vol 11, Iss 1059, p 1059 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	colorectal cancer liver metastasis hepatic surgery prognosis biomarkers molecular signature Medicine R
spellingShingle	colorectal cancer liver metastasis hepatic surgery prognosis biomarkers molecular signature Medicine R Sternschuss Michal Goshen-Lago Tal Perl Gali Goldenfeld Miki Brook Elana Brenner Baroch Kashtan Hanoch Ben Aharon Irit Haddad Riad Characterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool
description	Background: Unfortunately, the majority of patients with colorectal cancer liver metastases (CRCLM) experience disease recurrence following hepatic surgery. The key challenge is therefore optimal patient selection, which currently relies on anatomical and clinical parameters. Exploring a potential molecular signature may be predictive for seeing a clinical benefit from CRCLM resection. Methods: Consecutive patients who underwent CRCLM resection at our medical center between 2006 and 2016 were divided into cohorts of “good prognosis” (GP) or “poor prognosis” (PP) based on the time interval between their resection and disease recurrence. Proteomic analysis was performed on the surgical specimen and correlation analysis was carried out with demographics and clinical outcomes. Results: Proteomic analysis revealed 99 differentially expressed proteins of which a third were associated with extracellular matrix (ECM) pathways as the matrix metalloproteinases (MMPs). Multivariate analysis yielded a statistically differential proteomic pattern between the cohort regardless of perioperative treatment. Conclusion: Our results indicate a different proteomic landscape in the cohort of patients who had a clinical benefit from CRCLM resection which appears to be correlated with ECM pathways. Further prospective studies are needed to define the role of ECM pathways in prognostics and patient selection for surgical procedures for CRCLM.
format	article
author	Sternschuss Michal Goshen-Lago Tal Perl Gali Goldenfeld Miki Brook Elana Brenner Baroch Kashtan Hanoch Ben Aharon Irit Haddad Riad
author_facet	Sternschuss Michal Goshen-Lago Tal Perl Gali Goldenfeld Miki Brook Elana Brenner Baroch Kashtan Hanoch Ben Aharon Irit Haddad Riad
author_sort	Sternschuss Michal
title	Characterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool
title_short	Characterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool
title_full	Characterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool
title_fullStr	Characterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool
title_full_unstemmed	Characterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool
title_sort	characterization of biomarkers in colorectal cancer liver metastases as a prognostic tool
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1c1acfbe52094258b0fb61410f7250e0
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Characterization of Biomarkers in Colorectal Cancer Liver Metastases as a Prognostic Tool

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