Delayed MRI Enhancement of Colorectal Cancer Liver Metastases Is Associated With Metastatic Mutational Profile.


Journal

Cancer genomics & proteomics
ISSN: 1790-6245
Titre abrégé: Cancer Genomics Proteomics
Pays: Greece
ID NLM: 101188791

Informations de publication

Date de publication:
Historique:
received: 16 05 2021
revised: 31 05 2021
accepted: 14 06 2021
entrez: 4 9 2021
pubmed: 5 9 2021
medline: 6 1 2022
Statut: ppublish

Résumé

Individual tumor genomics plays a key role in determining patient prognosis, response to chemotherapy and in guiding therapy. In prior studies, it was shown that the degree of late enhancement of colorectal liver metastases (CRCLM) target tumor enhancement (TTE) as seen on magnetic resonance imaging (MRI) was associated with overall survival. In order to better understand the relationship between MRI enhancement and survival, the aim of this study was to characterize genomic profiles of tumors clustered by MRI TTE, and investigate the association between TTE and genetic mutations. Matched tumor and normal tissue samples from patients with weak TTE and strong TTE were analyzed by Next-generation sequencing (NGS) technology using a custom colorectal cancer panel. We discovered a total of 42 non-synonymous somatic mutations from 10 patients with weak TTE and 26 with 10 patients with strong TTE. Adenomatosis Polyposis Coli (APC) was the most commonly altered gene, 18 of those APC mutations were found in the weak TTE and 9 in the strong TTE group. An association exists between TTE and mutational status of CRCLM, which may offer some explanation as to why TTE is associated with overall survival in patients with CRCLM.

Sections du résumé

BACKGROUND/AIM
Individual tumor genomics plays a key role in determining patient prognosis, response to chemotherapy and in guiding therapy. In prior studies, it was shown that the degree of late enhancement of colorectal liver metastases (CRCLM) target tumor enhancement (TTE) as seen on magnetic resonance imaging (MRI) was associated with overall survival. In order to better understand the relationship between MRI enhancement and survival, the aim of this study was to characterize genomic profiles of tumors clustered by MRI TTE, and investigate the association between TTE and genetic mutations.
MATERIALS AND METHODS
Matched tumor and normal tissue samples from patients with weak TTE and strong TTE were analyzed by Next-generation sequencing (NGS) technology using a custom colorectal cancer panel.
RESULTS
We discovered a total of 42 non-synonymous somatic mutations from 10 patients with weak TTE and 26 with 10 patients with strong TTE. Adenomatosis Polyposis Coli (APC) was the most commonly altered gene, 18 of those APC mutations were found in the weak TTE and 9 in the strong TTE group.
CONCLUSION
An association exists between TTE and mutational status of CRCLM, which may offer some explanation as to why TTE is associated with overall survival in patients with CRCLM.

Identifiants

pubmed: 34479915
pii: 18/5/627
doi: 10.21873/cgp.20285
pmc: PMC8441761
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

627-635

Informations de copyright

Copyright© 2021, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

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Auteurs

Arun Seth (A)

Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; arun.seth@utoronto.ca.
Genomics Core, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Yutaka Amemiya (Y)

Genomics Core, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Helen Cheung (H)

Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.

Eugene Hsieh (E)

Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.

Calvin Law (C)

Department of Surgical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.

Laurent Milot (L)

Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.

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