Daniel D. Buchanan
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Recent Grants
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Genomic profiling for the prevention of colorectal cancer
Open Date: 2017-01-01
Close Date: 2020-01-01
Grant: Close
Expanding diagnostic approaches for Lynch syndrome
Open Date: 2017-01-01
Close Date: 2019-01-01
Grant: Close
A functional assay to classify genetic variants in Lynch syndrome
Open Date: 2016-01-01
Close Date: 2017-01-01
Grant: Close
Muir Torre Syndrome: The role of IHC and genotyping in sebaceous neoplasia to facilitate prevention strategies in colorectal and endometrial cancer
Open Date: 2016-01-01
Close Date: 2017-01-01
Grant: Close
Early Onset Colorectal Cancer
Open Date: 2012-01-01
Close Date: 2013-12-31
Articles (11)
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Germline pathogenic variants in the DNA mismatch repair (MMR) genes (Lynch syndrome) predispose to colorectal (CRC) and endometrial (EC) cancer. Lynch syndrome specific tumor features were evaluated for their ability to support the ACMG/InSiGHT framework in classifying variants of uncertain clinical significance (VUS) in the MMR genes. Twenty-eight CRC or EC tumors from 25 VUS carriers (6xMLH1, 9xMSH2, 6xMSH6, 4xPMS2), underwent targeted tumor sequencing for the presence of microsatellite instability/MMR-deficiency (MSI-H/dMMR) status and identification of a somatic MMR mutation (second hit). Immunohistochemical testing for the presence of dMMR crypts/glands in normal tissue was also performed. The ACMG/InSiGHT framework reclassified 7/25 (28%) VUS to likely pathogenic (LP), three (12%) to benign/likely benign, and 15 (60%) VUS remained unchanged. For the seven re-classified LP variants comprising nine tumors, tumor sequencing confirmed MSI-H/dMMR (8/9, 88.9%) and a second hit (7/9, 77.8%). Of these LP reclassified variants where normal tissue was available, the presence of a dMMR crypt/gland was found in 2/4 (50%). Furthermore, a dMMR endometrial gland in a carrier of an MSH2 exon 1-6 duplication provides further support for an upgrade of this VUS to LP. Our study confirmed that identifying these Lynch syndrome features can improve MMR variant classification, enabling optimal clinical care.
Year:
2023
Year:
2023
Year:
2022
Year:
2022
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2022
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2022
Year:
2022
Collaborators (10)
Emma Vincent
University of Bristol
Nicholas Timpson
University of Bristol
Aung Win
Associate Professor/Principal Research Fellow
University of Melbourne
Ingrid Winship
University of Melbourne
Bethany Van Guelpen
Umea University
Allison Hodge
Associate Professor
University of Melbourne
Melissa C. Southey
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Mauro D'Amato
Professor of Medical Gentics
LUM Jean Monnet University
Annika Lindblom
Karolinska Institutet
Daniel Schmidt
Associate Professor
MONASH UNIVERSITY
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