Volume 228, Issue 1 p. 20-30
Original Paper

Use of mutation profiles to refine the classification of endometrial carcinomas

Melissa K McConechy,

Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada

These authors contributed equally to this work.

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Jiarui Ding,

Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada

Department of Computer Science, University of British Columbia, Vancouver, British Columbia, Canada

These authors contributed equally to this work.

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Maggie CU Cheang,

Department of Medical Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada

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Kimberly C Wiegand,

Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada

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Janine Senz,

Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada

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Alicia A Tone,

Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada

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Winnie Yang,

Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada

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Leah M Prentice,

Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada

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Kane Tse,

Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada

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Thomas Zeng,

Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada

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Helen McDonald,

Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada

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Amy P Schmidt,

Department of Surgery, Siteman Cancer Center and Washington University School of Medicine, St Louis, Missouri, USA

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David G Mutch,

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Siteman Cancer Center and Washington University School of Medicine, St Louis, Missouri, USA

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Jessica N McAlpine,

Division of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada

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Martin Hirst,

Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada

Department of Microbiology and Immunology, Centre for High-Throughput Biology, University of British Columbia, Vancouver, British Columbia, Canada

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Sohrab P Shah,

Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada

Department of Computer Science, University of British Columbia, Vancouver, British Columbia, Canada

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Cheng-Han Lee,

Department of Pathology and Laboratory Medicine, Vancouver General Hospital and University of British Columbia, Vancouver, British Columbia, Canada

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Paul J Goodfellow,

Department of Surgery, Siteman Cancer Center and Washington University School of Medicine, St Louis, Missouri, USA

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C Blake Gilks,

Corresponding Author

Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada

Department of Pathology and Laboratory Medicine, Vancouver General Hospital and University of British Columbia, Vancouver, British Columbia, Canada

C Blake Gilks, Department of Pathology and Laboratory Medicine, Vancouver General Hospital, University of British Columbia, Room 509, 2660 Oak Street, Jack Bell Research Centre, Vancouver, British Columbia, V6H 3Z6, Canada.

David G Huntsman, Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia Cancer Agency, Centre for Translational and Applied Genomics, 3427-600 West 10th Avenue, Vancouver, British Columbia, V5E 4E6, Canada.

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David G Huntsman,

Corresponding Author

Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer Agency, Vancouver, BC, Canada

Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada

C Blake Gilks, Department of Pathology and Laboratory Medicine, Vancouver General Hospital, University of British Columbia, Room 509, 2660 Oak Street, Jack Bell Research Centre, Vancouver, British Columbia, V6H 3Z6, Canada.

David G Huntsman, Department of Pathology and Laboratory Medicine, University of British Columbia, British Columbia Cancer Agency, Centre for Translational and Applied Genomics, 3427-600 West 10th Avenue, Vancouver, British Columbia, V5E 4E6, Canada.

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First published: 31 May 2012
Citations: 193

No conflicts of interest were declared.

Abstract

The classification of endometrial carcinomas is based on pathological assessment of tumour cell type; the different cell types (endometrioid, serous, carcinosarcoma, mixed, undifferentiated, and clear cell) are associated with distinct molecular alterations. This current classification system for high-grade subtypes, in particular the distinction between high-grade endometrioid (EEC-3) and serous carcinomas (ESC), is limited in its reproducibility and prognostic abilities. Therefore, a search for specific molecular classifiers to improve endometrial carcinoma subclassification is warranted. We performed target enrichment sequencing on 393 endometrial carcinomas from two large cohorts, sequencing exons from the following nine genes: ARID1A, PPP2R1A, PTEN, PIK3CA, KRAS, CTNNB1, TP53, BRAF, and PPP2R5C. Based on this gene panel, each endometrial carcinoma subtype shows a distinct mutation profile. EEC-3s have significantly different frequencies of PTEN and TP53 mutations when compared to low-grade endometrioid carcinomas. ESCs and EEC-3s are distinct subtypes with significantly different frequencies of mutations in PTEN, ARID1A, PPP2R1A, TP53, and CTNNB1. From the mutation profiles, we were able to identify subtype outliers, ie cases diagnosed morphologically as one subtype but with a mutation profile suggestive of a different subtype. Careful review of these diagnostically challenging cases suggested that the original morphological classification was incorrect in most instances. The molecular profile of carcinosarcomas suggests two distinct mutation profiles for these tumours: endometrioid-type (PTEN, PIK3CA, ARID1A, KRAS mutations) and serous-type (TP53 and PPP2R1A mutations). While this nine-gene panel does not allow for a purely molecularly based classification of endometrial carcinoma, it may prove useful as an adjunct to morphological classification and serve as an aid in the classification of problematic cases. If used in practice, it may lead to improved diagnostic reproducibility and may also serve to stratify patients for targeted therapeutics. Copyright © 2012 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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