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Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection
A majority of patients with metastatic colorectal cancer (mCRC) experience recurrence post curative-intent surgery. The addition of adjuvant chemotherapy has shown to provide limited survival benefits when applied to all patients. Therefore, a biomarker to assess molecular residual disease (MRD) acc...
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/PMC9569771/ https://www.ncbi.nlm.nih.gov/pubmed/36232827 http://dx.doi.org/10.3390/ijms231911529 |
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author | Lonardi, Sara Nimeiri, Halla Xu, Chang Zollinger, Daniel R. Madison, Russell W. Fine, Alexander D. Gjoerup, Ole Rasola, Cosimo Angerilli, Valentina Sharma, Shruti Wu, Hsin-Ta Palsuledesai, Charuta C. Malhotra, Meenakshi Aleshin, Alexey Loupakis, Fotios Renkonen, Elise Hegde, Priti Fassan, Matteo |
author_facet | Lonardi, Sara Nimeiri, Halla Xu, Chang Zollinger, Daniel R. Madison, Russell W. Fine, Alexander D. Gjoerup, Ole Rasola, Cosimo Angerilli, Valentina Sharma, Shruti Wu, Hsin-Ta Palsuledesai, Charuta C. Malhotra, Meenakshi Aleshin, Alexey Loupakis, Fotios Renkonen, Elise Hegde, Priti Fassan, Matteo |
author_sort | Lonardi, Sara |
collection | PubMed |
description | A majority of patients with metastatic colorectal cancer (mCRC) experience recurrence post curative-intent surgery. The addition of adjuvant chemotherapy has shown to provide limited survival benefits when applied to all patients. Therefore, a biomarker to assess molecular residual disease (MRD) accurately and guide treatment selection is highly desirable for high-risk patients. This feasibility study evaluated the prognostic value of a tissue comprehensive genomic profiling (CGP)-informed, personalized circulating tumor DNA (ctDNA) assay (FoundationOne(®)Tracker) (Foundation Medicine, Inc., Cambridge, MA, USA) by correlating MRD status with clinical outcomes. ctDNA analysis was performed retrospectively on plasma samples from 69 patients with resected mCRC obtained at the MRD and the follow-up time point. Tissue CGP identified potentially actionable alterations in 54% (37/69) of patients. MRD-positivity was significantly associated with lower disease-free survival (DFS) (HR: 4.97, 95% CI: 2.67–9.24, p < 0.0001) and overall survival (OS) (HR: 27.05, 95% CI: 3.60–203.46, p < 0.0001). Similarly, ctDNA positive status at the follow-up time point correlated with a marked reduction in DFS (HR: 8.78, 95% CI: 3.59–21.49, p < 0.0001) and OS (HR: 20.06, 95% CI: 2.51–160.25, p < 0.0001). The overall sensitivity and specificity at the follow-up time point were 69% and 100%, respectively. Our results indicate that MRD detection using the tissue CGP-informed ctDNA assay is prognostic of survival outcomes in patients with resected mCRC. The concurrent MRD detection and identification of actionable alterations has the potential to guide perioperative clinical decision-making. |
format | Online Article Text |
id | pubmed-9569771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95697712022-10-17 Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection Lonardi, Sara Nimeiri, Halla Xu, Chang Zollinger, Daniel R. Madison, Russell W. Fine, Alexander D. Gjoerup, Ole Rasola, Cosimo Angerilli, Valentina Sharma, Shruti Wu, Hsin-Ta Palsuledesai, Charuta C. Malhotra, Meenakshi Aleshin, Alexey Loupakis, Fotios Renkonen, Elise Hegde, Priti Fassan, Matteo Int J Mol Sci Article A majority of patients with metastatic colorectal cancer (mCRC) experience recurrence post curative-intent surgery. The addition of adjuvant chemotherapy has shown to provide limited survival benefits when applied to all patients. Therefore, a biomarker to assess molecular residual disease (MRD) accurately and guide treatment selection is highly desirable for high-risk patients. This feasibility study evaluated the prognostic value of a tissue comprehensive genomic profiling (CGP)-informed, personalized circulating tumor DNA (ctDNA) assay (FoundationOne(®)Tracker) (Foundation Medicine, Inc., Cambridge, MA, USA) by correlating MRD status with clinical outcomes. ctDNA analysis was performed retrospectively on plasma samples from 69 patients with resected mCRC obtained at the MRD and the follow-up time point. Tissue CGP identified potentially actionable alterations in 54% (37/69) of patients. MRD-positivity was significantly associated with lower disease-free survival (DFS) (HR: 4.97, 95% CI: 2.67–9.24, p < 0.0001) and overall survival (OS) (HR: 27.05, 95% CI: 3.60–203.46, p < 0.0001). Similarly, ctDNA positive status at the follow-up time point correlated with a marked reduction in DFS (HR: 8.78, 95% CI: 3.59–21.49, p < 0.0001) and OS (HR: 20.06, 95% CI: 2.51–160.25, p < 0.0001). The overall sensitivity and specificity at the follow-up time point were 69% and 100%, respectively. Our results indicate that MRD detection using the tissue CGP-informed ctDNA assay is prognostic of survival outcomes in patients with resected mCRC. The concurrent MRD detection and identification of actionable alterations has the potential to guide perioperative clinical decision-making. MDPI 2022-09-29 /pmc/articles/PMC9569771/ /pubmed/36232827 http://dx.doi.org/10.3390/ijms231911529 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 Lonardi, Sara Nimeiri, Halla Xu, Chang Zollinger, Daniel R. Madison, Russell W. Fine, Alexander D. Gjoerup, Ole Rasola, Cosimo Angerilli, Valentina Sharma, Shruti Wu, Hsin-Ta Palsuledesai, Charuta C. Malhotra, Meenakshi Aleshin, Alexey Loupakis, Fotios Renkonen, Elise Hegde, Priti Fassan, Matteo Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection |
title | Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection |
title_full | Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection |
title_fullStr | Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection |
title_full_unstemmed | Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection |
title_short | Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection |
title_sort | comprehensive genomic profiling (cgp)-informed personalized molecular residual disease (mrd) detection: an exploratory analysis from the predator study of metastatic colorectal cancer (mcrc) patients undergoing surgical resection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569771/ https://www.ncbi.nlm.nih.gov/pubmed/36232827 http://dx.doi.org/10.3390/ijms231911529 |
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