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

Further 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 s...

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Autores principales: Padda, Sukhmani K., Gökmen-Polar, Yesim, Hellyer, Jessica A., Badve, Sunil S., Singh, Neeraj K., Vasista, Sumanth M., Basu, Kabya, Kumar, Ansu, Wakelee, Heather A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202771/
https://www.ncbi.nlm.nih.gov/pubmed/34136086
http://dx.doi.org/10.18632/oncotarget.27978
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author Padda, Sukhmani K.
Gökmen-Polar, Yesim
Hellyer, Jessica A.
Badve, Sunil S.
Singh, Neeraj K.
Vasista, Sumanth M.
Basu, Kabya
Kumar, Ansu
Wakelee, Heather A.
author_facet Padda, Sukhmani K.
Gökmen-Polar, Yesim
Hellyer, Jessica A.
Badve, Sunil S.
Singh, Neeraj K.
Vasista, Sumanth M.
Basu, Kabya
Kumar, Ansu
Wakelee, Heather A.
author_sort Padda, Sukhmani K.
collection PubMed
description Further 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.
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spelling pubmed-82027712021-06-15 Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type Padda, Sukhmani K. Gökmen-Polar, Yesim Hellyer, Jessica A. Badve, Sunil S. Singh, Neeraj K. Vasista, Sumanth M. Basu, Kabya Kumar, Ansu Wakelee, Heather A. Oncotarget Research Paper Further 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. Impact Journals LLC 2021-06-08 /pmc/articles/PMC8202771/ /pubmed/34136086 http://dx.doi.org/10.18632/oncotarget.27978 Text en Copyright: © 2021 Padda et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Padda, Sukhmani K.
Gökmen-Polar, Yesim
Hellyer, Jessica A.
Badve, Sunil S.
Singh, Neeraj K.
Vasista, Sumanth M.
Basu, Kabya
Kumar, Ansu
Wakelee, Heather A.
Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type
title Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type
title_full Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type
title_fullStr Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type
title_full_unstemmed Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type
title_short Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type
title_sort genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of world health organization histologic type
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202771/
https://www.ncbi.nlm.nih.gov/pubmed/34136086
http://dx.doi.org/10.18632/oncotarget.27978
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