Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures

Author:

Georgeson PeterORCID,Harrison Tabitha A.,Pope Bernard J.ORCID,Zaidi Syed H.,Qu Conghui,Steinfelder Robert S.,Lin Yi,Joo Jihoon E.,Mahmood Khalid,Clendenning Mark,Walker Romy,Amitay Efrat L.ORCID,Berndt Sonja I.,Brenner Hermann,Campbell Peter T.,Cao Yin,Chan Andrew T.ORCID,Chang-Claude JennyORCID,Doheny Kimberly F.ORCID,Drew David A.,Figueiredo Jane C.,French Amy J.,Gallinger Steven,Giannakis MariosORCID,Giles Graham G.ORCID,Gsur AndreaORCID,Gunter Marc J.,Hoffmeister MichaelORCID,Hsu Li,Huang Wen-YiORCID,Limburg Paul,Manson JoAnn E.,Moreno VictorORCID,Nassir Rami,Nowak Jonathan A.,Obón-Santacana Mireia,Ogino ShujiORCID,Phipps Amanda I.,Potter John D.ORCID,Schoen Robert E.ORCID,Sun WeiORCID,Toland Amanda E.ORCID,Trinh Quang M.ORCID,Ugai Tomotaka,Macrae Finlay A.,Rosty Christophe,Hudson Thomas J.ORCID,Jenkins Mark A.ORCID,Thibodeau Stephen N.,Winship Ingrid M.,Peters UlrikeORCID,Buchanan Daniel D.ORCID

Abstract

AbstractCarriers of germline biallelic pathogenic variants in the MUTYH gene have a high risk of colorectal cancer. We test 5649 colorectal cancers to evaluate the discriminatory potential of a tumor mutational signature specific to MUTYH for identifying biallelic carriers and classifying variants of uncertain clinical significance (VUS). Using a tumor and matched germline targeted multi-gene panel approach, our classifier identifies all biallelic MUTYH carriers and all known non-carriers in an independent test set of 3019 colorectal cancers (accuracy = 100% (95% confidence interval 99.87–100%)). All monoallelic MUTYH carriers are classified with the non-MUTYH carriers. The classifier provides evidence for a pathogenic classification for two VUS and a benign classification for five VUS. Somatic hotspot mutations KRAS p.G12C and PIK3CA p.Q546K are associated with colorectal cancers from biallelic MUTYH carriers compared with non-carriers (p = 2 × 10−23 and p = 6 × 10−11, respectively). Here, we demonstrate the potential application of mutational signatures to tumor sequencing workflows to improve the identification of biallelic MUTYH carriers.

Funder

Department of Health | National Health and Medical Research Council

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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