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Molecular subtyping of leiomyosarcoma with 3′ end RNA sequencing

Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. We performed expression profiling on 99 cases of LMS with 3′ end RNA sequencing (3SEQ) and demonstrated the existence o...

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Autores principales: Guo, Xiangqian, Forgó, Erna, van de Rijn, Matt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4521214/
https://www.ncbi.nlm.nih.gov/pubmed/26240788
http://dx.doi.org/10.1016/j.gdata.2015.06.029
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author Guo, Xiangqian
Forgó, Erna
van de Rijn, Matt
author_facet Guo, Xiangqian
Forgó, Erna
van de Rijn, Matt
author_sort Guo, Xiangqian
collection PubMed
description Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. We performed expression profiling on 99 cases of LMS with 3′ end RNA sequencing (3SEQ) and demonstrated the existence of 3 molecular subtypes in this cohort. We consequently showed that these molecular subtypes are reproducible using an independent cohort of 82 LMS cases from TCGA. Two new formalin-fixed, paraffin-embedded (FFPE) tissue-compatible diagnostic immunohistochemical markers were identified for two of the three subtypes: LMOD1 for subtype I LMS and ARL4C for subtype II LMS. Subtype I LMS and subtype II LMS were associated with good and poor prognosis, respectively. Here, we describe the details of LMS diagnosis, RNA isolation, 3SEQ library construction, 3SEQ sequencing data analysis and molecular subtype determination. The 3SEQ data produced in this study was deposited into Gene Expression Omnibus (GEO) under GSE45510.
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spelling pubmed-45212142015-10-19 Molecular subtyping of leiomyosarcoma with 3′ end RNA sequencing Guo, Xiangqian Forgó, Erna van de Rijn, Matt Genom Data Data in Brief Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. We performed expression profiling on 99 cases of LMS with 3′ end RNA sequencing (3SEQ) and demonstrated the existence of 3 molecular subtypes in this cohort. We consequently showed that these molecular subtypes are reproducible using an independent cohort of 82 LMS cases from TCGA. Two new formalin-fixed, paraffin-embedded (FFPE) tissue-compatible diagnostic immunohistochemical markers were identified for two of the three subtypes: LMOD1 for subtype I LMS and ARL4C for subtype II LMS. Subtype I LMS and subtype II LMS were associated with good and poor prognosis, respectively. Here, we describe the details of LMS diagnosis, RNA isolation, 3SEQ library construction, 3SEQ sequencing data analysis and molecular subtype determination. The 3SEQ data produced in this study was deposited into Gene Expression Omnibus (GEO) under GSE45510. Elsevier 2015-07-09 /pmc/articles/PMC4521214/ /pubmed/26240788 http://dx.doi.org/10.1016/j.gdata.2015.06.029 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Guo, Xiangqian
Forgó, Erna
van de Rijn, Matt
Molecular subtyping of leiomyosarcoma with 3′ end RNA sequencing
title Molecular subtyping of leiomyosarcoma with 3′ end RNA sequencing
title_full Molecular subtyping of leiomyosarcoma with 3′ end RNA sequencing
title_fullStr Molecular subtyping of leiomyosarcoma with 3′ end RNA sequencing
title_full_unstemmed Molecular subtyping of leiomyosarcoma with 3′ end RNA sequencing
title_short Molecular subtyping of leiomyosarcoma with 3′ end RNA sequencing
title_sort molecular subtyping of leiomyosarcoma with 3′ end rna sequencing
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4521214/
https://www.ncbi.nlm.nih.gov/pubmed/26240788
http://dx.doi.org/10.1016/j.gdata.2015.06.029
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