Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type

dc.contributor.authorPadda, Sukhmani K.
dc.contributor.authorGökmen-Polar, Yesim
dc.contributor.authorHellyer, Jessica A.
dc.contributor.authorBadve, Sunil S.
dc.contributor.authorSingh, Neeraj K.
dc.contributor.authorVasista, Sumanth M.
dc.contributor.authorBasu, Kabya
dc.contributor.authorKumar, Ansu
dc.contributor.authorWakelee, Heather A.
dc.contributor.departmentPathology and Laboratory Medicine, School of Medicineen_US
dc.date.accessioned2022-12-21T18:51:13Z
dc.date.available2022-12-21T18:51:13Z
dc.date.issued2021-06-08
dc.description.abstractFurther characterization of thymic epithelial tumors (TETs) is needed. Genomic information from 102 evaluable TETs from The Cancer Genome Atlas (TCGA) dataset and from the IU-TAB-1 cell line (type AB thymoma) underwent clustering analysis to identify molecular subtypes of TETs. Six novel molecular subtypes (TH1-TH6) of TETs from the TCGA were identified, and there was no association with WHO histologic subtype. The IU-TAB-1 cell line clustered into the TH4 molecular subtype and in vitro testing of candidate therapeutics was performed. The IU-TAB-1 cell line was noted to be resistant to everolimus (mTORC1 inhibitor) and sensitive to nelfinavir (AKT1 inhibitor) across the endpoints measured. Sensitivity to nelfinavir was due to the IU-TAB-1 cell line’s gain-of function (GOF) mutation in PIK3CA and amplification of genes observed from array comparative genomic hybridization (aCGH), including AURKA, ERBB2, KIT, PDGFRA and PDGFB, that are known upregulate AKT, while resistance to everolimus was primarily driven by upregulation of downstream signaling of KIT, PDGFRA and PDGFB in the presence of mTORC1 inhibition. We present a novel molecular classification of TETs independent of WHO histologic subtype, which may be used for preclinical validation studies of potential candidate therapeutics of interest for this rare disease.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationPadda SK, Gökmen-Polar Y, Hellyer JA, et al. Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type. Oncotarget. 2021;12(12):1178-1186. Published 2021 Jun 8. doi:10.18632/oncotarget.27978en_US
dc.identifier.urihttps://hdl.handle.net/1805/30787
dc.language.isoen_USen_US
dc.publisherImpact Journalsen_US
dc.relation.isversionof10.18632/oncotarget.27978en_US
dc.relation.journalOncotargeten_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0*
dc.sourcePMCen_US
dc.subjectThymic epithelial tumoren_US
dc.subjectThymomaen_US
dc.subjectGenomicsen_US
dc.subjectClusteringen_US
dc.subjectComputational analysisen_US
dc.titleGenomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic typeen_US
dc.typeArticleen_US
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