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Metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape
BACKGROUND: Adrenocortical carcinoma (ACC) is a rare, often-aggressive neoplasm of the adrenal cortex, with a 14–17 month median overall survival. We asked whether tumors from patients with advanced or metastatic ACC would offer clues as to putative genes that might have critical roles in disease pr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640690/ https://www.ncbi.nlm.nih.gov/pubmed/33148256 http://dx.doi.org/10.1186/s12920-020-00809-7 |
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author | Fojo, Tito Huff, Lyn Litman, Thomas Im, Kate Edgerly, Maureen del Rivero, Jaydira Pittaluga, Stefania Merino, Maria Bates, Susan E. Dean, Michael |
author_facet | Fojo, Tito Huff, Lyn Litman, Thomas Im, Kate Edgerly, Maureen del Rivero, Jaydira Pittaluga, Stefania Merino, Maria Bates, Susan E. Dean, Michael |
author_sort | Fojo, Tito |
collection | PubMed |
description | BACKGROUND: Adrenocortical carcinoma (ACC) is a rare, often-aggressive neoplasm of the adrenal cortex, with a 14–17 month median overall survival. We asked whether tumors from patients with advanced or metastatic ACC would offer clues as to putative genes that might have critical roles in disease progression or in more aggressive disease biology. METHODS: We conducted comprehensive genomic and expression analyses of ACCs from 43 patients, 30 female, and 42 from metastatic sites, including deep sequencing, copy number analysis, mRNA expression and microRNA arrays. RESULTS: Copy number gains and losses were similar to that previously reported for ACC. We identified a median mutation rate of 3.38 per megabase (Mb). The mutational signature was characterized by a predominance of C > T, C > A and T > C transitions. Only cancer genes TP53 (26%) and beta-catenin (CTNNB1, 14%) were mutated in more than 10% of samples. The TCGA-identified putative cancer genes MEN1 and PRKAR1A were found in low frequency—4.7 and 2.3%, respectively. The majority of the mutations were in genes not implicated in the etiology or maintenance of cancer. Specifically, amongst the 38 genes that were mutated in more than 9% of samples, only four were represented in Tier 1 of the 576 COSMIC Cancer Gene Census (CCGC). Thus, 82% of genes found to have mutations likely have no role in the etiology or biology of ACC; while the role of the other 18%, if any, remains to be proven. Finally, the transcript length for the 38 most frequently mutated genes in ACC is statistically longer than the average of all coding genes, raising the question of whether transcript length in part determined mutation probability. CONCLUSIONS: We conclude that the mutational and expression profiles of advanced and metastatic tumors are very similar to those from newly diagnosed patients—with very little in the way of genomic aberration to explain differences in biology. With relatively low mutation rates, few major oncogenic drivers, and loss of function mutations in several epigenetic regulators, an epigenetic basis for ACC may be postulated and serve as the basis for future studies. |
format | Online Article Text |
id | pubmed-7640690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76406902020-11-05 Metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape Fojo, Tito Huff, Lyn Litman, Thomas Im, Kate Edgerly, Maureen del Rivero, Jaydira Pittaluga, Stefania Merino, Maria Bates, Susan E. Dean, Michael BMC Med Genomics Research Article BACKGROUND: Adrenocortical carcinoma (ACC) is a rare, often-aggressive neoplasm of the adrenal cortex, with a 14–17 month median overall survival. We asked whether tumors from patients with advanced or metastatic ACC would offer clues as to putative genes that might have critical roles in disease progression or in more aggressive disease biology. METHODS: We conducted comprehensive genomic and expression analyses of ACCs from 43 patients, 30 female, and 42 from metastatic sites, including deep sequencing, copy number analysis, mRNA expression and microRNA arrays. RESULTS: Copy number gains and losses were similar to that previously reported for ACC. We identified a median mutation rate of 3.38 per megabase (Mb). The mutational signature was characterized by a predominance of C > T, C > A and T > C transitions. Only cancer genes TP53 (26%) and beta-catenin (CTNNB1, 14%) were mutated in more than 10% of samples. The TCGA-identified putative cancer genes MEN1 and PRKAR1A were found in low frequency—4.7 and 2.3%, respectively. The majority of the mutations were in genes not implicated in the etiology or maintenance of cancer. Specifically, amongst the 38 genes that were mutated in more than 9% of samples, only four were represented in Tier 1 of the 576 COSMIC Cancer Gene Census (CCGC). Thus, 82% of genes found to have mutations likely have no role in the etiology or biology of ACC; while the role of the other 18%, if any, remains to be proven. Finally, the transcript length for the 38 most frequently mutated genes in ACC is statistically longer than the average of all coding genes, raising the question of whether transcript length in part determined mutation probability. CONCLUSIONS: We conclude that the mutational and expression profiles of advanced and metastatic tumors are very similar to those from newly diagnosed patients—with very little in the way of genomic aberration to explain differences in biology. With relatively low mutation rates, few major oncogenic drivers, and loss of function mutations in several epigenetic regulators, an epigenetic basis for ACC may be postulated and serve as the basis for future studies. BioMed Central 2020-11-04 /pmc/articles/PMC7640690/ /pubmed/33148256 http://dx.doi.org/10.1186/s12920-020-00809-7 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Fojo, Tito Huff, Lyn Litman, Thomas Im, Kate Edgerly, Maureen del Rivero, Jaydira Pittaluga, Stefania Merino, Maria Bates, Susan E. Dean, Michael Metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape |
title | Metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape |
title_full | Metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape |
title_fullStr | Metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape |
title_full_unstemmed | Metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape |
title_short | Metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape |
title_sort | metastatic and recurrent adrenocortical cancer is not defined by its genomic landscape |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640690/ https://www.ncbi.nlm.nih.gov/pubmed/33148256 http://dx.doi.org/10.1186/s12920-020-00809-7 |
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