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The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity
High body mass index (BMI) is a causal risk factor for endometrial cancer but the tumor molecular mechanisms affected by adiposity and their therapeutic relevance remain poorly understood. Here we characterize the tumor multi-omic landscape of endometrial cancers that have developed on a background...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592984/ https://www.ncbi.nlm.nih.gov/pubmed/37873386 http://dx.doi.org/10.1101/2023.10.09.23296765 |
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author | Richenberg, George Francis, Amy Owen, Carina N. Gray, Victoria Robinson, Timothy Gabriel, Aurélie AG Lawrenson, Kate Crosbie, Emma J. Schildkraut, Joellen M. Mckay, James D. Gaunt, Tom R. Relton, Caroline L. Vincent, Emma E. Kar, Siddhartha P. |
author_facet | Richenberg, George Francis, Amy Owen, Carina N. Gray, Victoria Robinson, Timothy Gabriel, Aurélie AG Lawrenson, Kate Crosbie, Emma J. Schildkraut, Joellen M. Mckay, James D. Gaunt, Tom R. Relton, Caroline L. Vincent, Emma E. Kar, Siddhartha P. |
author_sort | Richenberg, George |
collection | PubMed |
description | High body mass index (BMI) is a causal risk factor for endometrial cancer but the tumor molecular mechanisms affected by adiposity and their therapeutic relevance remain poorly understood. Here we characterize the tumor multi-omic landscape of endometrial cancers that have developed on a background of lifelong germline genetic exposure to elevated BMI. We built a polygenic score (PGS) for BMI in women using data on independent, genome-wide significant variants associated with adult BMI in 434,794 women. We performed germline (blood) genotype quality control and imputation on data from 354 endometrial cancer cases from The Cancer Genome Atlas (TCGA). We assigned each case in this TCGA cohort their genetically predicted life-course BMI based on the BMI PGS. Multivariable generalized linear models adjusted for age, stage, microsatellite status and genetic principal components were used to test for associations between the BMI germline PGS and endometrial cancer tumor genome-wide genomic, transcriptomic, proteomic, epigenomic and immune traits in TCGA. High BMI germline PGS was associated with (i) upregulated tumor gene expression in the IL6-JAK-STAT3 pathway (FDR=4.2×10(−7)); (ii) increased estimated intra-tumor activated mast cell infiltration (FDR=0.008); (iii) increased single base substitution (SBS) mutational signatures 1 (FDR=0.03) and 5 (FDR=0.09) and decreased SBS13 (FDR=0.09), implicating age-related and APOBEC mutagenesis, respectively; and (iv) decreased tumor EGFR protein expression (FDR=0.07). Alterations in IL6-JAK-STAT3 signaling gene and EGFR protein expression were, in turn, significantly associated with both overall survival and progression-free interval. Thus, we integrated germline and somatic data using a novel study design to identify associations between genetically predicted lifelong exposure to higher BMI and potentially actionable endometrial cancer tumor molecular features. These associations inform our understanding of how high BMI may influence the development and progression of this cancer, impacting endometrial tumor biology and clinical outcomes. |
format | Online Article Text |
id | pubmed-10592984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105929842023-10-24 The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity Richenberg, George Francis, Amy Owen, Carina N. Gray, Victoria Robinson, Timothy Gabriel, Aurélie AG Lawrenson, Kate Crosbie, Emma J. Schildkraut, Joellen M. Mckay, James D. Gaunt, Tom R. Relton, Caroline L. Vincent, Emma E. Kar, Siddhartha P. medRxiv Article High body mass index (BMI) is a causal risk factor for endometrial cancer but the tumor molecular mechanisms affected by adiposity and their therapeutic relevance remain poorly understood. Here we characterize the tumor multi-omic landscape of endometrial cancers that have developed on a background of lifelong germline genetic exposure to elevated BMI. We built a polygenic score (PGS) for BMI in women using data on independent, genome-wide significant variants associated with adult BMI in 434,794 women. We performed germline (blood) genotype quality control and imputation on data from 354 endometrial cancer cases from The Cancer Genome Atlas (TCGA). We assigned each case in this TCGA cohort their genetically predicted life-course BMI based on the BMI PGS. Multivariable generalized linear models adjusted for age, stage, microsatellite status and genetic principal components were used to test for associations between the BMI germline PGS and endometrial cancer tumor genome-wide genomic, transcriptomic, proteomic, epigenomic and immune traits in TCGA. High BMI germline PGS was associated with (i) upregulated tumor gene expression in the IL6-JAK-STAT3 pathway (FDR=4.2×10(−7)); (ii) increased estimated intra-tumor activated mast cell infiltration (FDR=0.008); (iii) increased single base substitution (SBS) mutational signatures 1 (FDR=0.03) and 5 (FDR=0.09) and decreased SBS13 (FDR=0.09), implicating age-related and APOBEC mutagenesis, respectively; and (iv) decreased tumor EGFR protein expression (FDR=0.07). Alterations in IL6-JAK-STAT3 signaling gene and EGFR protein expression were, in turn, significantly associated with both overall survival and progression-free interval. Thus, we integrated germline and somatic data using a novel study design to identify associations between genetically predicted lifelong exposure to higher BMI and potentially actionable endometrial cancer tumor molecular features. These associations inform our understanding of how high BMI may influence the development and progression of this cancer, impacting endometrial tumor biology and clinical outcomes. Cold Spring Harbor Laboratory 2023-10-10 /pmc/articles/PMC10592984/ /pubmed/37873386 http://dx.doi.org/10.1101/2023.10.09.23296765 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Richenberg, George Francis, Amy Owen, Carina N. Gray, Victoria Robinson, Timothy Gabriel, Aurélie AG Lawrenson, Kate Crosbie, Emma J. Schildkraut, Joellen M. Mckay, James D. Gaunt, Tom R. Relton, Caroline L. Vincent, Emma E. Kar, Siddhartha P. The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity |
title | The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity |
title_full | The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity |
title_fullStr | The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity |
title_full_unstemmed | The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity |
title_short | The tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity |
title_sort | tumor multi-omic landscape of endometrial cancers developed on a germline genetic background of adiposity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592984/ https://www.ncbi.nlm.nih.gov/pubmed/37873386 http://dx.doi.org/10.1101/2023.10.09.23296765 |
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