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Tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer

BACKGROUND: Deficiencies in Mismatch Repair (MMR) proteins are one of the major pathways in the development of colorectal cancer (CRC). MMR status evaluation is recommended in every new CRC patient. However, this is not fully implemented due to high costs. Tissue microarray (TMA) enables allocating...

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Autores principales: Farkash, Shai, Schwartz, Naama, Edison, Natalia, Greenberg, Sophia, Peled, Hila Belhanes, Sindiany, Wail, Krausz, Judit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733058/
https://www.ncbi.nlm.nih.gov/pubmed/36482310
http://dx.doi.org/10.1186/s12876-022-02573-7
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author Farkash, Shai
Schwartz, Naama
Edison, Natalia
Greenberg, Sophia
Peled, Hila Belhanes
Sindiany, Wail
Krausz, Judit
author_facet Farkash, Shai
Schwartz, Naama
Edison, Natalia
Greenberg, Sophia
Peled, Hila Belhanes
Sindiany, Wail
Krausz, Judit
author_sort Farkash, Shai
collection PubMed
description BACKGROUND: Deficiencies in Mismatch Repair (MMR) proteins are one of the major pathways in the development of colorectal cancer (CRC). MMR status evaluation is recommended in every new CRC patient. However, this is not fully implemented due to high costs. Tissue microarray (TMA) enables allocating tissue cores from few specimens to a single paraffin block. The primary objective of this study was to evaluate the accuracy of TMA MMR immunohistochemistry (IHC) compared to whole slide. The secondary objective was to evaluate and validate automatic digital image analysis software in differentiating pathological and normal TMA cores. METHODS: Pathological cores were defined if at least one MMR protein was unstained. Tumoral and normal tissue of 11 CRC patients with known MMR status was used to obtain 623 TMA cores. The MMR staining of each core was evaluated by a pathologist and compared to the whole slide result. Digital analysis software by 3DHistech Ltd. was used to identify cell nucleus and quantify nuclear staining in 323 tissue cores. To identifying pathological tissue, cores the cohort was divided into a test (N = 146 cores) and validation sets (N = 177 cores). A staining intensity score (SIS) was developed, and its performance compared to the pathologist review of each core and to the whole slide result. RESULTS: Compared to the whole slide, the pathologist’s assessment had 100% sensitivity (n/N = 112/112) and 100% specificity (n/N = 278/278) with 95% lower limit of 97 and 99% respectively. The area under the receiver operating characteristic (ROC) curve of SIS was 77%. A cutoff of 55 was obtained from the ROC curve. By implementing the cutoff in the validation dataset, the SIS had sensitivity and specificity of 98.2% [90.1–100%] and 58.5% [49.3–67.4%] respectively. CONCLUSIONS: The MMR status of CRC can be evaluated in TMA tissue cores thus potentially reducing MMR testing costs. The SIS can be used as triage indicator during pathologic review. TRIAL REGISTRATION: Institutional ethical approval was granted for the performance of this study (Emek Medical Center Ethics ID: EMC-19-0179).
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spelling pubmed-97330582022-12-10 Tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer Farkash, Shai Schwartz, Naama Edison, Natalia Greenberg, Sophia Peled, Hila Belhanes Sindiany, Wail Krausz, Judit BMC Gastroenterol Research Article BACKGROUND: Deficiencies in Mismatch Repair (MMR) proteins are one of the major pathways in the development of colorectal cancer (CRC). MMR status evaluation is recommended in every new CRC patient. However, this is not fully implemented due to high costs. Tissue microarray (TMA) enables allocating tissue cores from few specimens to a single paraffin block. The primary objective of this study was to evaluate the accuracy of TMA MMR immunohistochemistry (IHC) compared to whole slide. The secondary objective was to evaluate and validate automatic digital image analysis software in differentiating pathological and normal TMA cores. METHODS: Pathological cores were defined if at least one MMR protein was unstained. Tumoral and normal tissue of 11 CRC patients with known MMR status was used to obtain 623 TMA cores. The MMR staining of each core was evaluated by a pathologist and compared to the whole slide result. Digital analysis software by 3DHistech Ltd. was used to identify cell nucleus and quantify nuclear staining in 323 tissue cores. To identifying pathological tissue, cores the cohort was divided into a test (N = 146 cores) and validation sets (N = 177 cores). A staining intensity score (SIS) was developed, and its performance compared to the pathologist review of each core and to the whole slide result. RESULTS: Compared to the whole slide, the pathologist’s assessment had 100% sensitivity (n/N = 112/112) and 100% specificity (n/N = 278/278) with 95% lower limit of 97 and 99% respectively. The area under the receiver operating characteristic (ROC) curve of SIS was 77%. A cutoff of 55 was obtained from the ROC curve. By implementing the cutoff in the validation dataset, the SIS had sensitivity and specificity of 98.2% [90.1–100%] and 58.5% [49.3–67.4%] respectively. CONCLUSIONS: The MMR status of CRC can be evaluated in TMA tissue cores thus potentially reducing MMR testing costs. The SIS can be used as triage indicator during pathologic review. TRIAL REGISTRATION: Institutional ethical approval was granted for the performance of this study (Emek Medical Center Ethics ID: EMC-19-0179). BioMed Central 2022-12-08 /pmc/articles/PMC9733058/ /pubmed/36482310 http://dx.doi.org/10.1186/s12876-022-02573-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Farkash, Shai
Schwartz, Naama
Edison, Natalia
Greenberg, Sophia
Peled, Hila Belhanes
Sindiany, Wail
Krausz, Judit
Tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer
title Tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer
title_full Tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer
title_fullStr Tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer
title_full_unstemmed Tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer
title_short Tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer
title_sort tissue microarrey: a potential cost-effective approach for mismatch repair testing in colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733058/
https://www.ncbi.nlm.nih.gov/pubmed/36482310
http://dx.doi.org/10.1186/s12876-022-02573-7
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