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Somatic mutational profiles and germline polygenic risk scores in human cancer
BACKGROUND: The mutational profile of cancer reflects the activity of the mutagenic processes which have been operative throughout the lineage of the cancer cell. These processes leave characteristic profiles of somatic mutations called mutational signatures. Mutational signatures, including single-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832866/ https://www.ncbi.nlm.nih.gov/pubmed/35144655 http://dx.doi.org/10.1186/s13073-022-01016-y |
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author | Liu, Yuxi Gusev, Alexander Heng, Yujing J. Alexandrov, Ludmil B. Kraft, Peter |
author_facet | Liu, Yuxi Gusev, Alexander Heng, Yujing J. Alexandrov, Ludmil B. Kraft, Peter |
author_sort | Liu, Yuxi |
collection | PubMed |
description | BACKGROUND: The mutational profile of cancer reflects the activity of the mutagenic processes which have been operative throughout the lineage of the cancer cell. These processes leave characteristic profiles of somatic mutations called mutational signatures. Mutational signatures, including single-base substitution (SBS) signatures, may reflect the effects of exogenous or endogenous exposures. METHODS: We used polygenic risk scores (PRS) to summarize common germline variation associated with cancer risk and other cancer-related traits and examined the association between somatic mutational profiles and germline PRS in 12 cancer types from The Cancer Genome Atlas. Somatic mutational profiles were constructed from whole-exome sequencing data of primary tumors. PRS were calculated for the 12 selected cancer types and 9 non-cancer traits, including cancer risk determinants, hormonal factors, and immune-mediated inflammatory diseases, using germline genetic data and published summary statistics from genome-wide association studies. RESULTS: We found 17 statistically significant associations between somatic mutational profiles and germline PRS after Bonferroni correction (p < 3.15 × 10(−5)), including positive associations between germline inflammatory bowel disease PRS and number of somatic mutations attributed to signature SBS1 in prostate cancer and APOBEC-related signatures in breast cancer. Positive associations were also found between age at menarche PRS and mutation counts of SBS1 in overall and estrogen receptor-positive breast cancer. Consistent with prior studies that found an inverse association between the pubertal development PRS and risk of prostate cancer, likely reflecting hormone-related mechanisms, we found an inverse association between age at menarche PRS and mutation counts of SBS1 in prostate cancer. Inverse associations were also found between several cancer PRS and tumor mutation counts. CONCLUSIONS: Our analysis suggests that there are robust associations between tumor somatic mutational profiles and germline PRS. These may reflect the mechanisms through hormone regulation and immune responses that contribute to cancer etiology and drive cancer progression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01016-y. |
format | Online Article Text |
id | pubmed-8832866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88328662022-02-15 Somatic mutational profiles and germline polygenic risk scores in human cancer Liu, Yuxi Gusev, Alexander Heng, Yujing J. Alexandrov, Ludmil B. Kraft, Peter Genome Med Research BACKGROUND: The mutational profile of cancer reflects the activity of the mutagenic processes which have been operative throughout the lineage of the cancer cell. These processes leave characteristic profiles of somatic mutations called mutational signatures. Mutational signatures, including single-base substitution (SBS) signatures, may reflect the effects of exogenous or endogenous exposures. METHODS: We used polygenic risk scores (PRS) to summarize common germline variation associated with cancer risk and other cancer-related traits and examined the association between somatic mutational profiles and germline PRS in 12 cancer types from The Cancer Genome Atlas. Somatic mutational profiles were constructed from whole-exome sequencing data of primary tumors. PRS were calculated for the 12 selected cancer types and 9 non-cancer traits, including cancer risk determinants, hormonal factors, and immune-mediated inflammatory diseases, using germline genetic data and published summary statistics from genome-wide association studies. RESULTS: We found 17 statistically significant associations between somatic mutational profiles and germline PRS after Bonferroni correction (p < 3.15 × 10(−5)), including positive associations between germline inflammatory bowel disease PRS and number of somatic mutations attributed to signature SBS1 in prostate cancer and APOBEC-related signatures in breast cancer. Positive associations were also found between age at menarche PRS and mutation counts of SBS1 in overall and estrogen receptor-positive breast cancer. Consistent with prior studies that found an inverse association between the pubertal development PRS and risk of prostate cancer, likely reflecting hormone-related mechanisms, we found an inverse association between age at menarche PRS and mutation counts of SBS1 in prostate cancer. Inverse associations were also found between several cancer PRS and tumor mutation counts. CONCLUSIONS: Our analysis suggests that there are robust associations between tumor somatic mutational profiles and germline PRS. These may reflect the mechanisms through hormone regulation and immune responses that contribute to cancer etiology and drive cancer progression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01016-y. BioMed Central 2022-02-11 /pmc/articles/PMC8832866/ /pubmed/35144655 http://dx.doi.org/10.1186/s13073-022-01016-y 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 Liu, Yuxi Gusev, Alexander Heng, Yujing J. Alexandrov, Ludmil B. Kraft, Peter Somatic mutational profiles and germline polygenic risk scores in human cancer |
title | Somatic mutational profiles and germline polygenic risk scores in human cancer |
title_full | Somatic mutational profiles and germline polygenic risk scores in human cancer |
title_fullStr | Somatic mutational profiles and germline polygenic risk scores in human cancer |
title_full_unstemmed | Somatic mutational profiles and germline polygenic risk scores in human cancer |
title_short | Somatic mutational profiles and germline polygenic risk scores in human cancer |
title_sort | somatic mutational profiles and germline polygenic risk scores in human cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832866/ https://www.ncbi.nlm.nih.gov/pubmed/35144655 http://dx.doi.org/10.1186/s13073-022-01016-y |
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