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dc.contributor.authorSveen, Anita
dc.contributor.authorJohannessen, Bjarne
dc.contributor.authorEilertsen, Ina Andrassy
dc.contributor.authorRøsok, Bård Ingvald
dc.contributor.authorGulla, Marie
dc.contributor.authorEide, Peter Andreas Wold
dc.contributor.authorBruun, Jarle
dc.contributor.authorKryeziu, Kushtrim
dc.contributor.authorMeza, Leonardo Zepeda
dc.contributor.authorMyklebost, Ola
dc.contributor.authorBjørnbeth, Bjørn Atle
dc.contributor.authorSkotheim, Rolf I.
dc.contributor.authorNesbakken, Arild
dc.contributor.authorLothe, Ragnhild Adelheid
dc.date.accessioned2022-02-07T12:51:29Z
dc.date.available2022-02-07T12:51:29Z
dc.date.created2022-01-11T10:34:33Z
dc.date.issued2021
dc.identifier.issn1756-994X
dc.identifier.urihttps://hdl.handle.net/11250/2977501
dc.description.abstractBackground 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.en_US
dc.language.isoengen_US
dc.publisherBMCen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleThe expressed mutational landscape of microsatellite stable colorectal cancersen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright The Author(s) 2021en_US
dc.source.articlenumber142en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1186/s13073-021-00955-2
dc.identifier.cristin1978070
dc.source.journalGenome Medicineen_US
dc.identifier.citationGenome Medicine. 2021, 13, 142.en_US
dc.source.volume13en_US


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