A Simple, Accurate and Cost-Effective Capillary Electrophoresis Test with Computational Methods to Aid in Universal Microsatellite Instability Testing

Background: Microsatellite instability (MSI) testing is important for the classification of Lynch syndrome, as a prognostic marker and as a guide for adjuvant chemotherapy in colorectal cancer (CRC). The gold standard for determining MSI status has traditionally been fluorescent multiplex polymerase...

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Main Authors: James Wei Tatt Toh, Puneet Singh, Venkata A. A. S. K. Tangirala, Alex Limmer, Kevin J. Spring
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cells
Subjects:
Online Access:https://www.mdpi.com/2073-4409/10/6/1401
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author James Wei Tatt Toh
Puneet Singh
Venkata A. A. S. K. Tangirala
Alex Limmer
Kevin J. Spring
author_facet James Wei Tatt Toh
Puneet Singh
Venkata A. A. S. K. Tangirala
Alex Limmer
Kevin J. Spring
author_sort James Wei Tatt Toh
collection DOAJ
description Background: Microsatellite instability (MSI) testing is important for the classification of Lynch syndrome, as a prognostic marker and as a guide for adjuvant chemotherapy in colorectal cancer (CRC). The gold standard for determining MSI status has traditionally been fluorescent multiplex polymerase chain reaction (PCR) and capillary gel electrophoresis (CGE). However, its use in the clinical setting has diminished and has been replaced by immunohistochemical (IHC) detection of loss of mismatch repair protein expression due to practicability and cost. The aim of this study was to develop a simple, cost-effective and accurate MSI assay based on CGE. Method: After amplification of microsatellites by polymerase chain reaction (PCR) using the National Cancer Institute (NCI) panel (BAT 25, BAT26, D5S346, D2S123, D17S250) of MSI markers, parallel CGE was utilized to classify colorectal cancers as MSI-H, MSI-L and MSS using the 5200 Fragment Analyzer System. Cell lines and patient cancer specimens were tested. DNA from 56 formalin-fixed paraffin-embedded cancer specimens and matched normal tissue were extracted and CGE was performed. An automated computational algorithm for MSI status determination was also developed. Results: Using the fragment analyser, MSI status was found to be 100% concordant with the known MSI status of cell lines and was 86% and 87% concordant with immunohistochemistry (IHC) from patient cancer specimens using traditional assessment and our MSI scoring system, respectively, for MSI determination. The misclassification rate was mainly attributed to IHC, with only one (1.8%) sampling error attributed to CGE testing. CGE was also able to distinguish MSI-L from MSI-H and MSS, which is not possible with IHC. An MSI score based on total allelic variability that can accurately determine MSI status was also successfully developed. A significant reduction in cost compared with traditional fluorescent multiplex PCR and CGE was achieved with this technique. Conclusions: A simple, cost-effective and reliable method of determining MSI status and an MSI scoring system based on an automatic computational algorithm to determine MSI status, as well as degree of allelic instability in colorectal cancer, has been developed using the 5200 Fragment Analyzer System.
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spelling doaj.art-eb0123aac7304e9e92a5cde7207b94272023-11-21T22:56:49ZengMDPI AGCells2073-44092021-06-01106140110.3390/cells10061401A Simple, Accurate and Cost-Effective Capillary Electrophoresis Test with Computational Methods to Aid in Universal Microsatellite Instability TestingJames Wei Tatt Toh0Puneet Singh1Venkata A. A. S. K. Tangirala2Alex Limmer3Kevin J. Spring4Department of Colorectal Surgery, Westmead Hospital, Westmead, NSW 2145, AustraliaIngham Institute for Applied Medical Research, Liverpool, NSW 2145, AustraliaIngham Institute for Applied Medical Research, Liverpool, NSW 2145, AustraliaDepartment of Colorectal Surgery, Westmead Hospital, Westmead, NSW 2145, AustraliaIngham Institute for Applied Medical Research, Liverpool, NSW 2145, AustraliaBackground: Microsatellite instability (MSI) testing is important for the classification of Lynch syndrome, as a prognostic marker and as a guide for adjuvant chemotherapy in colorectal cancer (CRC). The gold standard for determining MSI status has traditionally been fluorescent multiplex polymerase chain reaction (PCR) and capillary gel electrophoresis (CGE). However, its use in the clinical setting has diminished and has been replaced by immunohistochemical (IHC) detection of loss of mismatch repair protein expression due to practicability and cost. The aim of this study was to develop a simple, cost-effective and accurate MSI assay based on CGE. Method: After amplification of microsatellites by polymerase chain reaction (PCR) using the National Cancer Institute (NCI) panel (BAT 25, BAT26, D5S346, D2S123, D17S250) of MSI markers, parallel CGE was utilized to classify colorectal cancers as MSI-H, MSI-L and MSS using the 5200 Fragment Analyzer System. Cell lines and patient cancer specimens were tested. DNA from 56 formalin-fixed paraffin-embedded cancer specimens and matched normal tissue were extracted and CGE was performed. An automated computational algorithm for MSI status determination was also developed. Results: Using the fragment analyser, MSI status was found to be 100% concordant with the known MSI status of cell lines and was 86% and 87% concordant with immunohistochemistry (IHC) from patient cancer specimens using traditional assessment and our MSI scoring system, respectively, for MSI determination. The misclassification rate was mainly attributed to IHC, with only one (1.8%) sampling error attributed to CGE testing. CGE was also able to distinguish MSI-L from MSI-H and MSS, which is not possible with IHC. An MSI score based on total allelic variability that can accurately determine MSI status was also successfully developed. A significant reduction in cost compared with traditional fluorescent multiplex PCR and CGE was achieved with this technique. Conclusions: A simple, cost-effective and reliable method of determining MSI status and an MSI scoring system based on an automatic computational algorithm to determine MSI status, as well as degree of allelic instability in colorectal cancer, has been developed using the 5200 Fragment Analyzer System.https://www.mdpi.com/2073-4409/10/6/1401microsatellite instabilityMSImismatch repair deficiencyMMRDLynch syndromecapillary electrophoresis
spellingShingle James Wei Tatt Toh
Puneet Singh
Venkata A. A. S. K. Tangirala
Alex Limmer
Kevin J. Spring
A Simple, Accurate and Cost-Effective Capillary Electrophoresis Test with Computational Methods to Aid in Universal Microsatellite Instability Testing
Cells
microsatellite instability
MSI
mismatch repair deficiency
MMRD
Lynch syndrome
capillary electrophoresis
title A Simple, Accurate and Cost-Effective Capillary Electrophoresis Test with Computational Methods to Aid in Universal Microsatellite Instability Testing
title_full A Simple, Accurate and Cost-Effective Capillary Electrophoresis Test with Computational Methods to Aid in Universal Microsatellite Instability Testing
title_fullStr A Simple, Accurate and Cost-Effective Capillary Electrophoresis Test with Computational Methods to Aid in Universal Microsatellite Instability Testing
title_full_unstemmed A Simple, Accurate and Cost-Effective Capillary Electrophoresis Test with Computational Methods to Aid in Universal Microsatellite Instability Testing
title_short A Simple, Accurate and Cost-Effective Capillary Electrophoresis Test with Computational Methods to Aid in Universal Microsatellite Instability Testing
title_sort simple accurate and cost effective capillary electrophoresis test with computational methods to aid in universal microsatellite instability testing
topic microsatellite instability
MSI
mismatch repair deficiency
MMRD
Lynch syndrome
capillary electrophoresis
url https://www.mdpi.com/2073-4409/10/6/1401
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