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Evaluation of methods to detect CALR mutations in myeloproliferative neoplasms

Evaluation of methods to detect CALR mutations in myeloproliferative neoplasms
Evaluation of methods to detect CALR mutations in myeloproliferative neoplasms
The recent discovery of somatically acquired CALR mutations in a substantial proportion of patients with myeloproliferative neoplasms has provided a new marker of clonal disease, advancing both diagnosis and prognosis in these previously difficult to characterise disorders. The mutations, which can be challenging to detect on a routine basis, are heterogeneous insertions/deletions (indels) in exon 9 with mutant allele burden that vary substantially between patients. We evaluated four genetic screening methods for their ability to detect a series of different CALR mutations; Sanger sequencing, fragment analysis PCR, high resolution melt (HRM) and targeted next generation sequencing (NGS). The limit of detection (LoD) of each assay was tested using serial dilution series made with DNA from CALR positive sample DNA and a cell line, MARIMO, found to carry a heterozygous 61 nucleotide CALR deletion. All methods were capable of detecting each mutation; HRM and fragment analysis PCR were better at detecting low mutation levels compared to Sanger sequencing but targeted NGS had the lowest LoD at a 1% mutation burden.
MPN CALR MARIMO
0145-2126
82-87
Jones, Amy V.
3d296088-a099-45cf-b227-541ff59d800c
Ward, Daniel
8343934a-ac4c-4042-ad30-93270144f77d
Lyon, Matthew
9c030a93-d30a-4fc3-831b-8b82cfeaf705
Leung, William
90697e3d-2ddd-40e6-bbe5-ca5d03cbe656
Callaway, Alison
07ee9b43-9249-4a56-9582-4dc41d613101
Chase, Andrew
a40a09c2-3073-4655-ba0b-a802e34914b5
Dent, Carolyn L.
2cf3d5ab-bf6f-4ae0-8c07-f99bdd1be226
White, Helen E.
2181c0b9-fc3b-407e-95eb-3510524603e5
Drexler, Hans G.
b6873aed-4cd3-4967-9811-e451d70e8255
Nangalia, Jyoti
9f0ff49d-88c1-456e-aa8a-c9ecd4cdfc29
Mattocks, Chris
2d943111-cfdf-4f0d-9ecc-0737e541fe36
Cross, Nicholas C.P.
f87650da-b908-4a34-b31b-d62c5f186fe4
Jones, Amy V.
3d296088-a099-45cf-b227-541ff59d800c
Ward, Daniel
8343934a-ac4c-4042-ad30-93270144f77d
Lyon, Matthew
9c030a93-d30a-4fc3-831b-8b82cfeaf705
Leung, William
90697e3d-2ddd-40e6-bbe5-ca5d03cbe656
Callaway, Alison
07ee9b43-9249-4a56-9582-4dc41d613101
Chase, Andrew
a40a09c2-3073-4655-ba0b-a802e34914b5
Dent, Carolyn L.
2cf3d5ab-bf6f-4ae0-8c07-f99bdd1be226
White, Helen E.
2181c0b9-fc3b-407e-95eb-3510524603e5
Drexler, Hans G.
b6873aed-4cd3-4967-9811-e451d70e8255
Nangalia, Jyoti
9f0ff49d-88c1-456e-aa8a-c9ecd4cdfc29
Mattocks, Chris
2d943111-cfdf-4f0d-9ecc-0737e541fe36
Cross, Nicholas C.P.
f87650da-b908-4a34-b31b-d62c5f186fe4

Jones, Amy V., Ward, Daniel, Lyon, Matthew, Leung, William, Callaway, Alison, Chase, Andrew, Dent, Carolyn L., White, Helen E., Drexler, Hans G., Nangalia, Jyoti, Mattocks, Chris and Cross, Nicholas C.P. (2015) Evaluation of methods to detect CALR mutations in myeloproliferative neoplasms. Leukemia Research, 39 (1), 82-87. (doi:10.1016/j.leukres.2014.11.019). (PMID:25499808)

Record type: Article

Abstract

The recent discovery of somatically acquired CALR mutations in a substantial proportion of patients with myeloproliferative neoplasms has provided a new marker of clonal disease, advancing both diagnosis and prognosis in these previously difficult to characterise disorders. The mutations, which can be challenging to detect on a routine basis, are heterogeneous insertions/deletions (indels) in exon 9 with mutant allele burden that vary substantially between patients. We evaluated four genetic screening methods for their ability to detect a series of different CALR mutations; Sanger sequencing, fragment analysis PCR, high resolution melt (HRM) and targeted next generation sequencing (NGS). The limit of detection (LoD) of each assay was tested using serial dilution series made with DNA from CALR positive sample DNA and a cell line, MARIMO, found to carry a heterozygous 61 nucleotide CALR deletion. All methods were capable of detecting each mutation; HRM and fragment analysis PCR were better at detecting low mutation levels compared to Sanger sequencing but targeted NGS had the lowest LoD at a 1% mutation burden.

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More information

Accepted/In Press date: 29 November 2014
Published date: January 2015
Keywords: MPN CALR MARIMO
Organisations: Human Development & Health

Identifiers

Local EPrints ID: 372779
URI: http://eprints.soton.ac.uk/id/eprint/372779
ISSN: 0145-2126
PURE UUID: 7c44fabc-e28a-4894-b272-0c29bfd43106
ORCID for Andrew Chase: ORCID iD orcid.org/0000-0001-6617-9953
ORCID for Nicholas C.P. Cross: ORCID iD orcid.org/0000-0001-5481-2555

Catalogue record

Date deposited: 18 Dec 2014 11:36
Last modified: 15 Mar 2024 03:11

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Contributors

Author: Amy V. Jones
Author: Daniel Ward
Author: Matthew Lyon
Author: William Leung
Author: Alison Callaway
Author: Andrew Chase ORCID iD
Author: Carolyn L. Dent
Author: Helen E. White
Author: Hans G. Drexler
Author: Jyoti Nangalia
Author: Chris Mattocks

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