Distinct Gene Expression Profiles Define Anaplastic Grade in Retinoblastoma

Lauren E. Hudson, Pia Mendoza, William H. Hudson, Alison Ziesel, G. Baker Hubbard, Jill Wells, Bhakti Dwivedi, Jeanne Kowalski, Sandra Seby, Viren Patel, Eldon Geisert, Charles Specht, Hans E. Grossniklaus

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)2328-2338
Number of pages11
JournalAmerican Journal of Pathology
Volume188
Issue number10
DOIs
StatePublished - Oct 2018

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine

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