Distinct Gene Expression Profiles Define Anaplastic Grade in Retinoblastoma
Morbidity and mortality associated with retinoblastoma have decreased drastically in recent decades, in large part owing to better prediction of high-risk disease and appropriate treatment stratification. High-risk histopathologic features and severe anaplasia both predict the need for more aggressi...
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Veröffentlicht in: | The American journal of pathology 2018-10, Vol.188 (10), p.2328-2338 |
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creator | Hudson, Lauren E. Mendoza, Pia Hudson, William H. Ziesel, Alison Hubbard, G. Baker Wells, Jill Dwivedi, Bhakti Kowalski, Jeanne Seby, Sandra Patel, Viren Geisert, Eldon Specht, Charles Grossniklaus, Hans E. |
description | Morbidity and mortality associated with retinoblastoma have decreased drastically in recent decades, in large part owing to better prediction of high-risk disease and appropriate treatment stratification. High-risk histopathologic features and severe anaplasia both predict the need for more aggressive treatment; however, not all centers are able to assess tumor samples easily for the degree of anaplasia. Instead, identification of genetic signatures that are able to distinguish among anaplastic grades and thus predict high- versus low-risk retinoblastoma would facilitate appropriate risk stratification in a wider patient population. A better understanding of genes dysregulated in anaplasia also would yield valuable insights into pathways underlying the development of more severe retinoblastoma. Here, we present the histopathologic and gene expression analysis of 28 retinoblastoma cases using microarray analysis. Tumors of differing anaplastic grade show clear differential gene expression, with significant dysregulation of unique genes and pathways in severe anaplasia. Photoreceptor and nucleoporin expression in particular are identified as highly dysregulated in severe anaplasia and suggest particular cellular processes contributing to the development of increased retinoblastoma severity. A limited set of highly differentially expressed genes also are able to predict severe anaplasia accurately in our data set. Together, these data contribute to the understanding of the development of anaplasia and facilitate the identification of genetic markers of high-risk retinoblastoma. |
doi_str_mv | 10.1016/j.ajpath.2018.06.013 |
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Baker ; Wells, Jill ; Dwivedi, Bhakti ; Kowalski, Jeanne ; Seby, Sandra ; Patel, Viren ; Geisert, Eldon ; Specht, Charles ; Grossniklaus, Hans E.</creator><creatorcontrib>Hudson, Lauren E. ; Mendoza, Pia ; Hudson, William H. ; Ziesel, Alison ; Hubbard, G. Baker ; Wells, Jill ; Dwivedi, Bhakti ; Kowalski, Jeanne ; Seby, Sandra ; Patel, Viren ; Geisert, Eldon ; Specht, Charles ; Grossniklaus, Hans E.</creatorcontrib><description>Morbidity and mortality associated with retinoblastoma have decreased drastically in recent decades, in large part owing to better prediction of high-risk disease and appropriate treatment stratification. High-risk histopathologic features and severe anaplasia both predict the need for more aggressive treatment; however, not all centers are able to assess tumor samples easily for the degree of anaplasia. Instead, identification of genetic signatures that are able to distinguish among anaplastic grades and thus predict high- versus low-risk retinoblastoma would facilitate appropriate risk stratification in a wider patient population. A better understanding of genes dysregulated in anaplasia also would yield valuable insights into pathways underlying the development of more severe retinoblastoma. Here, we present the histopathologic and gene expression analysis of 28 retinoblastoma cases using microarray analysis. Tumors of differing anaplastic grade show clear differential gene expression, with significant dysregulation of unique genes and pathways in severe anaplasia. Photoreceptor and nucleoporin expression in particular are identified as highly dysregulated in severe anaplasia and suggest particular cellular processes contributing to the development of increased retinoblastoma severity. A limited set of highly differentially expressed genes also are able to predict severe anaplasia accurately in our data set. Together, these data contribute to the understanding of the development of anaplasia and facilitate the identification of genetic markers of high-risk retinoblastoma.</description><identifier>ISSN: 0002-9440</identifier><identifier>EISSN: 1525-2191</identifier><identifier>DOI: 10.1016/j.ajpath.2018.06.013</identifier><identifier>PMID: 30036517</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><ispartof>The American journal of pathology, 2018-10, Vol.188 (10), p.2328-2338</ispartof><rights>2018 American Society for Investigative Pathology</rights><rights>Copyright © 2018 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.</rights><rights>2018 American Society for Investigative Pathology. Published by Elsevier Inc. 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Baker</creatorcontrib><creatorcontrib>Wells, Jill</creatorcontrib><creatorcontrib>Dwivedi, Bhakti</creatorcontrib><creatorcontrib>Kowalski, Jeanne</creatorcontrib><creatorcontrib>Seby, Sandra</creatorcontrib><creatorcontrib>Patel, Viren</creatorcontrib><creatorcontrib>Geisert, Eldon</creatorcontrib><creatorcontrib>Specht, Charles</creatorcontrib><creatorcontrib>Grossniklaus, Hans E.</creatorcontrib><title>Distinct Gene Expression Profiles Define Anaplastic Grade in Retinoblastoma</title><title>The American journal of pathology</title><addtitle>Am J Pathol</addtitle><description>Morbidity and mortality associated with retinoblastoma have decreased drastically in recent decades, in large part owing to better prediction of high-risk disease and appropriate treatment stratification. High-risk histopathologic features and severe anaplasia both predict the need for more aggressive treatment; however, not all centers are able to assess tumor samples easily for the degree of anaplasia. Instead, identification of genetic signatures that are able to distinguish among anaplastic grades and thus predict high- versus low-risk retinoblastoma would facilitate appropriate risk stratification in a wider patient population. A better understanding of genes dysregulated in anaplasia also would yield valuable insights into pathways underlying the development of more severe retinoblastoma. Here, we present the histopathologic and gene expression analysis of 28 retinoblastoma cases using microarray analysis. Tumors of differing anaplastic grade show clear differential gene expression, with significant dysregulation of unique genes and pathways in severe anaplasia. Photoreceptor and nucleoporin expression in particular are identified as highly dysregulated in severe anaplasia and suggest particular cellular processes contributing to the development of increased retinoblastoma severity. A limited set of highly differentially expressed genes also are able to predict severe anaplasia accurately in our data set. 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Photoreceptor and nucleoporin expression in particular are identified as highly dysregulated in severe anaplasia and suggest particular cellular processes contributing to the development of increased retinoblastoma severity. A limited set of highly differentially expressed genes also are able to predict severe anaplasia accurately in our data set. Together, these data contribute to the understanding of the development of anaplasia and facilitate the identification of genetic markers of high-risk retinoblastoma.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30036517</pmid><doi>10.1016/j.ajpath.2018.06.013</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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title | Distinct Gene Expression Profiles Define Anaplastic Grade in Retinoblastoma |
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