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Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications

BACKGROUND: The molecular classification of gastric cancer recognises two subtypes prone to immune checkpoint blockade: the microsatellite unstable and the Epstein-Barr virus (EBV)-related tumours. We aim to assess the concordance between immunohistochemistry and PCR for microsatellite status evalua...

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Autores principales: Martinez-Ciarpaglini, Carolina, Fleitas-Kanonnikoff, Tania, Gambardella, Valentina, Llorca, Marta, Mongort, Cristina, Mengual, Regina, Nieto, Gema, Navarro, Lara, Huerta, Marisol, Rosello, Susana, Roda, Desamparados, Tarazona, Noelia, Navarro, Samuel, Ribas, Gloria, Cervantes, Andrés
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555614/
https://www.ncbi.nlm.nih.gov/pubmed/31231566
http://dx.doi.org/10.1136/esmoopen-2018-000470
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author Martinez-Ciarpaglini, Carolina
Fleitas-Kanonnikoff, Tania
Gambardella, Valentina
Llorca, Marta
Mongort, Cristina
Mengual, Regina
Nieto, Gema
Navarro, Lara
Huerta, Marisol
Rosello, Susana
Roda, Desamparados
Tarazona, Noelia
Navarro, Samuel
Ribas, Gloria
Cervantes, Andrés
author_facet Martinez-Ciarpaglini, Carolina
Fleitas-Kanonnikoff, Tania
Gambardella, Valentina
Llorca, Marta
Mongort, Cristina
Mengual, Regina
Nieto, Gema
Navarro, Lara
Huerta, Marisol
Rosello, Susana
Roda, Desamparados
Tarazona, Noelia
Navarro, Samuel
Ribas, Gloria
Cervantes, Andrés
author_sort Martinez-Ciarpaglini, Carolina
collection PubMed
description BACKGROUND: The molecular classification of gastric cancer recognises two subtypes prone to immune checkpoint blockade: the microsatellite unstable and the Epstein-Barr virus (EBV)-related tumours. We aim to assess the concordance between immunohistochemistry and PCR for microsatellite status evaluation, and explore the value of microsatellite instability (MSI) and EBV as predictive survival factors. MATERIAL AND METHODS: We collected 246 consecutively diagnosed gastric cancer cases in all stages and evaluated the microsatellite status using immunohistochemistry for mismatched repair (MMR) proteins and PCR. EBV expression was studied through in situ hybridisation. RESULTS: Forty-five (18%) cases presented MSI and 13 (6%) were positive for EBV. MSI was associated with female sex, older age, distal location and distal non-diffuse type of the modified Lauren classification. EBV expression was most frequent in proximal location and proximal non-diffuse type. The sensitivity, specificity, positive predictive value and negative predictive value of immunohistochemistry for the microsatellite study were 91%, 98%, 91% and 98%, respectively. In the multivariate analysis, MSI was an independent predictor of favourable tumour-specific survival (TSS) in stages I–III (MSI: HR: 0.37, 95% CI 0.12 to 0.95, p=0.04). CONCLUSIONS: The MSI status and the EBV expression should be incorporated in routine pathological report for two reasons. First, MSI defines a different pathological entity with a better outcome. Second, MSI and EBV may be useful biomarkers to identify patients who will respond to immune checkpoint blockade inhibitors. For this purpose, immunohistochemical study for MMR proteins and in situ hybridisation study for EBV evaluation are feasible and cost-effective methods.
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spelling pubmed-65556142019-06-21 Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications Martinez-Ciarpaglini, Carolina Fleitas-Kanonnikoff, Tania Gambardella, Valentina Llorca, Marta Mongort, Cristina Mengual, Regina Nieto, Gema Navarro, Lara Huerta, Marisol Rosello, Susana Roda, Desamparados Tarazona, Noelia Navarro, Samuel Ribas, Gloria Cervantes, Andrés ESMO Open Original Research BACKGROUND: The molecular classification of gastric cancer recognises two subtypes prone to immune checkpoint blockade: the microsatellite unstable and the Epstein-Barr virus (EBV)-related tumours. We aim to assess the concordance between immunohistochemistry and PCR for microsatellite status evaluation, and explore the value of microsatellite instability (MSI) and EBV as predictive survival factors. MATERIAL AND METHODS: We collected 246 consecutively diagnosed gastric cancer cases in all stages and evaluated the microsatellite status using immunohistochemistry for mismatched repair (MMR) proteins and PCR. EBV expression was studied through in situ hybridisation. RESULTS: Forty-five (18%) cases presented MSI and 13 (6%) were positive for EBV. MSI was associated with female sex, older age, distal location and distal non-diffuse type of the modified Lauren classification. EBV expression was most frequent in proximal location and proximal non-diffuse type. The sensitivity, specificity, positive predictive value and negative predictive value of immunohistochemistry for the microsatellite study were 91%, 98%, 91% and 98%, respectively. In the multivariate analysis, MSI was an independent predictor of favourable tumour-specific survival (TSS) in stages I–III (MSI: HR: 0.37, 95% CI 0.12 to 0.95, p=0.04). CONCLUSIONS: The MSI status and the EBV expression should be incorporated in routine pathological report for two reasons. First, MSI defines a different pathological entity with a better outcome. Second, MSI and EBV may be useful biomarkers to identify patients who will respond to immune checkpoint blockade inhibitors. For this purpose, immunohistochemical study for MMR proteins and in situ hybridisation study for EBV evaluation are feasible and cost-effective methods. BMJ Publishing Group 2019-05-27 /pmc/articles/PMC6555614/ /pubmed/31231566 http://dx.doi.org/10.1136/esmoopen-2018-000470 Text en © Author (s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ on behalf of the European Society for Medical Oncology. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, any changes made are indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Martinez-Ciarpaglini, Carolina
Fleitas-Kanonnikoff, Tania
Gambardella, Valentina
Llorca, Marta
Mongort, Cristina
Mengual, Regina
Nieto, Gema
Navarro, Lara
Huerta, Marisol
Rosello, Susana
Roda, Desamparados
Tarazona, Noelia
Navarro, Samuel
Ribas, Gloria
Cervantes, Andrés
Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications
title Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications
title_full Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications
title_fullStr Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications
title_full_unstemmed Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications
title_short Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications
title_sort assessing molecular subtypes of gastric cancer: microsatellite unstable and epstein-barr virus subtypes. methods for detection and clinical and pathological implications
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555614/
https://www.ncbi.nlm.nih.gov/pubmed/31231566
http://dx.doi.org/10.1136/esmoopen-2018-000470
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