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The expressed mutational landscape of microsatellite stable colorectal cancers
BACKGROUND: Colorectal cancer is the 2nd leading cause of cancer-related deaths with few patients benefiting from biomarker-guided therapy. Mutation expression is essential for accurate interpretation of mutations as biomarkers, but surprisingly, little has been done to analyze somatic cancer mutati...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411524/ https://www.ncbi.nlm.nih.gov/pubmed/34470667 http://dx.doi.org/10.1186/s13073-021-00955-2 |
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author | Sveen, Anita Johannessen, Bjarne Eilertsen, Ina A. Røsok, Bård I. Gulla, Marie Eide, Peter W. Bruun, Jarle Kryeziu, Kushtrim Meza-Zepeda, Leonardo A. Myklebost, Ola Bjørnbeth, Bjørn A. Skotheim, Rolf I. Nesbakken, Arild Lothe, Ragnhild A. |
author_facet | Sveen, Anita Johannessen, Bjarne Eilertsen, Ina A. Røsok, Bård I. Gulla, Marie Eide, Peter W. Bruun, Jarle Kryeziu, Kushtrim Meza-Zepeda, Leonardo A. Myklebost, Ola Bjørnbeth, Bjørn A. Skotheim, Rolf I. Nesbakken, Arild Lothe, Ragnhild A. |
author_sort | Sveen, Anita |
collection | PubMed |
description | BACKGROUND: Colorectal cancer is the 2nd leading cause of cancer-related deaths with few patients benefiting from biomarker-guided therapy. Mutation expression is essential for accurate interpretation of mutations as biomarkers, but surprisingly, little has been done to analyze somatic cancer mutations on the expression level. We report a large-scale analysis of allele-specific mutation expression. METHODS: Whole-exome and total RNA sequencing was performed on 137 samples from 121 microsatellite stable colorectal cancers, including multiregional samples of primary and metastatic tumors from 4 patients. Data were integrated with allele-specific resolution. Results were validated in an independent set of 241 colon cancers. Therapeutic associations were explored by pharmacogenomic profiling of 15 cell lines or patient-derived organoids. RESULTS: The median proportion of expressed mutations per tumor was 34%. Cancer-critical mutations had the highest expression frequency (gene-wise mean of 58%), independent of frequent allelic imbalance. Systematic deviation from the general pattern of expression levels according to allelic frequencies was detected, including preferential expression of mutated alleles dependent on the mutation type and target gene. Translational relevance was suggested by correlations of KRAS/NRAS or TP53 mutation expression levels with downstream oncogenic signatures (p < 0.03), overall survival among patients with stage II and III cancer (KRAS/NRAS: hazard ratio 6.1, p = 0.0070), and targeted drug sensitivity. The latter was demonstrated for EGFR and MDM2 inhibition in pre-clinical models. CONCLUSIONS: Only a subset of mutations in microsatellite stable colorectal cancers were expressed, and the “expressed mutation dose” may provide an opportunity for more fine-tuned biomarker interpretations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00955-2. |
format | Online Article Text |
id | pubmed-8411524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84115242021-09-09 The expressed mutational landscape of microsatellite stable colorectal cancers Sveen, Anita Johannessen, Bjarne Eilertsen, Ina A. Røsok, Bård I. Gulla, Marie Eide, Peter W. Bruun, Jarle Kryeziu, Kushtrim Meza-Zepeda, Leonardo A. Myklebost, Ola Bjørnbeth, Bjørn A. Skotheim, Rolf I. Nesbakken, Arild Lothe, Ragnhild A. Genome Med Research BACKGROUND: Colorectal cancer is the 2nd leading cause of cancer-related deaths with few patients benefiting from biomarker-guided therapy. Mutation expression is essential for accurate interpretation of mutations as biomarkers, but surprisingly, little has been done to analyze somatic cancer mutations on the expression level. We report a large-scale analysis of allele-specific mutation expression. METHODS: Whole-exome and total RNA sequencing was performed on 137 samples from 121 microsatellite stable colorectal cancers, including multiregional samples of primary and metastatic tumors from 4 patients. Data were integrated with allele-specific resolution. Results were validated in an independent set of 241 colon cancers. Therapeutic associations were explored by pharmacogenomic profiling of 15 cell lines or patient-derived organoids. RESULTS: The median proportion of expressed mutations per tumor was 34%. Cancer-critical mutations had the highest expression frequency (gene-wise mean of 58%), independent of frequent allelic imbalance. Systematic deviation from the general pattern of expression levels according to allelic frequencies was detected, including preferential expression of mutated alleles dependent on the mutation type and target gene. Translational relevance was suggested by correlations of KRAS/NRAS or TP53 mutation expression levels with downstream oncogenic signatures (p < 0.03), overall survival among patients with stage II and III cancer (KRAS/NRAS: hazard ratio 6.1, p = 0.0070), and targeted drug sensitivity. The latter was demonstrated for EGFR and MDM2 inhibition in pre-clinical models. CONCLUSIONS: Only a subset of mutations in microsatellite stable colorectal cancers were expressed, and the “expressed mutation dose” may provide an opportunity for more fine-tuned biomarker interpretations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00955-2. BioMed Central 2021-09-01 /pmc/articles/PMC8411524/ /pubmed/34470667 http://dx.doi.org/10.1186/s13073-021-00955-2 Text en © The Author(s) 2021 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 Sveen, Anita Johannessen, Bjarne Eilertsen, Ina A. Røsok, Bård I. Gulla, Marie Eide, Peter W. Bruun, Jarle Kryeziu, Kushtrim Meza-Zepeda, Leonardo A. Myklebost, Ola Bjørnbeth, Bjørn A. Skotheim, Rolf I. Nesbakken, Arild Lothe, Ragnhild A. The expressed mutational landscape of microsatellite stable colorectal cancers |
title | The expressed mutational landscape of microsatellite stable colorectal cancers |
title_full | The expressed mutational landscape of microsatellite stable colorectal cancers |
title_fullStr | The expressed mutational landscape of microsatellite stable colorectal cancers |
title_full_unstemmed | The expressed mutational landscape of microsatellite stable colorectal cancers |
title_short | The expressed mutational landscape of microsatellite stable colorectal cancers |
title_sort | expressed mutational landscape of microsatellite stable colorectal cancers |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411524/ https://www.ncbi.nlm.nih.gov/pubmed/34470667 http://dx.doi.org/10.1186/s13073-021-00955-2 |
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