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In-silico analysis of TCGA data showing multiple POLE-like favourable subgroups overlapping with TP53 mutated endometrial cancer: Implications for clinical practice in low and middle-income countries
INTRODUCTION: The Cancer Genome Atlas cohort of endometrial carcinoma (TCGA-UCEC) includes almost 40% TP53-mutants encompassing missense and truncated variants. TCGA revealed ‘POLE’, characterized by POLE gene bearing exonuclease domain mutation (EDM), as the prognostically best molecular profile. T...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245003/ https://www.ncbi.nlm.nih.gov/pubmed/37293351 http://dx.doi.org/10.1016/j.gore.2023.101209 |
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author | Das Ghosh, Damayanti Roy Chowdhury, Rahul Dutta, Rajeswari Mukhopadhyay, Indranil Mukhopadhyay, Asima Roychoudhury, Susanta |
author_facet | Das Ghosh, Damayanti Roy Chowdhury, Rahul Dutta, Rajeswari Mukhopadhyay, Indranil Mukhopadhyay, Asima Roychoudhury, Susanta |
author_sort | Das Ghosh, Damayanti |
collection | PubMed |
description | INTRODUCTION: The Cancer Genome Atlas cohort of endometrial carcinoma (TCGA-UCEC) includes almost 40% TP53-mutants encompassing missense and truncated variants. TCGA revealed ‘POLE’, characterized by POLE gene bearing exonuclease domain mutation (EDM), as the prognostically best molecular profile. The worst profile was characterized by TP53-mutated Type 2 cancer requiring adjuvant therapy having cost implications in low-resource settings. We aimed to find more ‘POLE-like’ favourable subgroups by searching TCGA cohort, especially within TP53 mutated risk group, that could eventually avoid adjuvant treatment in resource-poor settings. METHOD: Our study was an in-silico survival analysis performed on the TCGA-UCEC dataset using SPSS statistical package. TP53 and POLE mutations, microsatellite instability (MSI), time-to-event and clinicopathological parameters were compared among 512 endometrial cancer cases. Deleterious POLE-mutations were identified by Polyphen2. Progression free survival was studied using Kaplan-Meier plots keeping original ‘POLE’ as comparator. RESULT: In presence of wild type (WT)-TP53, other deleterious POLE-mutations behaved like POLE-EDM. Only truncated and not missense TP53 benefitted from POLE/MSI overlap. However, TP53 missense mutation, Y220C, was found to be as favourable as ‘POLE’. Overlapping POLE, MSI and WT-TP53 also performed favourably. Truncated TP53 overlapped with POLE and/or MSI, TP53 Y220C alone and, WT-TP53 overlapped with POLE and MSI both, were named ‘POLE-like’ for prognostically behaving like the comparator ‘POLE’. CONCLUSION: Obesity being a lesser frequent event in low and middle-income countries (LMICs), relative proportion of women with lower BMI and Type 2 endometrial cancers may be high. Identification of ‘POLE-like’ groups may facilitate therapeutic de-escalation in some TP53-mutated cases - a novel option. Instead of 5% (POLE-EDM), potential beneficiary would then comprise 10% (POLE-like) of TCGA-UCEC. |
format | Online Article Text |
id | pubmed-10245003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102450032023-06-08 In-silico analysis of TCGA data showing multiple POLE-like favourable subgroups overlapping with TP53 mutated endometrial cancer: Implications for clinical practice in low and middle-income countries Das Ghosh, Damayanti Roy Chowdhury, Rahul Dutta, Rajeswari Mukhopadhyay, Indranil Mukhopadhyay, Asima Roychoudhury, Susanta Gynecol Oncol Rep Special Section on Global Gynecologic Oncology INTRODUCTION: The Cancer Genome Atlas cohort of endometrial carcinoma (TCGA-UCEC) includes almost 40% TP53-mutants encompassing missense and truncated variants. TCGA revealed ‘POLE’, characterized by POLE gene bearing exonuclease domain mutation (EDM), as the prognostically best molecular profile. The worst profile was characterized by TP53-mutated Type 2 cancer requiring adjuvant therapy having cost implications in low-resource settings. We aimed to find more ‘POLE-like’ favourable subgroups by searching TCGA cohort, especially within TP53 mutated risk group, that could eventually avoid adjuvant treatment in resource-poor settings. METHOD: Our study was an in-silico survival analysis performed on the TCGA-UCEC dataset using SPSS statistical package. TP53 and POLE mutations, microsatellite instability (MSI), time-to-event and clinicopathological parameters were compared among 512 endometrial cancer cases. Deleterious POLE-mutations were identified by Polyphen2. Progression free survival was studied using Kaplan-Meier plots keeping original ‘POLE’ as comparator. RESULT: In presence of wild type (WT)-TP53, other deleterious POLE-mutations behaved like POLE-EDM. Only truncated and not missense TP53 benefitted from POLE/MSI overlap. However, TP53 missense mutation, Y220C, was found to be as favourable as ‘POLE’. Overlapping POLE, MSI and WT-TP53 also performed favourably. Truncated TP53 overlapped with POLE and/or MSI, TP53 Y220C alone and, WT-TP53 overlapped with POLE and MSI both, were named ‘POLE-like’ for prognostically behaving like the comparator ‘POLE’. CONCLUSION: Obesity being a lesser frequent event in low and middle-income countries (LMICs), relative proportion of women with lower BMI and Type 2 endometrial cancers may be high. Identification of ‘POLE-like’ groups may facilitate therapeutic de-escalation in some TP53-mutated cases - a novel option. Instead of 5% (POLE-EDM), potential beneficiary would then comprise 10% (POLE-like) of TCGA-UCEC. Elsevier 2023-05-26 /pmc/articles/PMC10245003/ /pubmed/37293351 http://dx.doi.org/10.1016/j.gore.2023.101209 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special Section on Global Gynecologic Oncology Das Ghosh, Damayanti Roy Chowdhury, Rahul Dutta, Rajeswari Mukhopadhyay, Indranil Mukhopadhyay, Asima Roychoudhury, Susanta In-silico analysis of TCGA data showing multiple POLE-like favourable subgroups overlapping with TP53 mutated endometrial cancer: Implications for clinical practice in low and middle-income countries |
title | In-silico analysis of TCGA data showing multiple POLE-like favourable subgroups overlapping with TP53 mutated endometrial cancer: Implications for clinical practice in low and middle-income countries |
title_full | In-silico analysis of TCGA data showing multiple POLE-like favourable subgroups overlapping with TP53 mutated endometrial cancer: Implications for clinical practice in low and middle-income countries |
title_fullStr | In-silico analysis of TCGA data showing multiple POLE-like favourable subgroups overlapping with TP53 mutated endometrial cancer: Implications for clinical practice in low and middle-income countries |
title_full_unstemmed | In-silico analysis of TCGA data showing multiple POLE-like favourable subgroups overlapping with TP53 mutated endometrial cancer: Implications for clinical practice in low and middle-income countries |
title_short | In-silico analysis of TCGA data showing multiple POLE-like favourable subgroups overlapping with TP53 mutated endometrial cancer: Implications for clinical practice in low and middle-income countries |
title_sort | in-silico analysis of tcga data showing multiple pole-like favourable subgroups overlapping with tp53 mutated endometrial cancer: implications for clinical practice in low and middle-income countries |
topic | Special Section on Global Gynecologic Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245003/ https://www.ncbi.nlm.nih.gov/pubmed/37293351 http://dx.doi.org/10.1016/j.gore.2023.101209 |
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