کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10914686 | 1088805 | 2014 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Validation of a prognostic multi-gene signature in high-risk neuroblastoma using the high throughput digital NanoString nCounter⢠system
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کلمات کلیدی
CoGEFsNanoStringH&E - H & EFFPE - MEPPCA - PCAGene signature - امضای ژنstandard deviations - انحراف معیارEvent-free survival - بقاء بدون وقفهoverall survival - بقای کلPrincipal components analysis - تجزیه و تحلیل اجزای اصلیstandard error - خطای استانداردHigh-risk neuroblastoma - نوروبلاستوما با خطر بالاHematoxylin and Eosin - هماتوکسیلین و ائوزینformalin-fixed paraffin embedded - پارافین ثابت فرمالین تعبیه شده استChildren's Oncology Group - گروه انکولوژی کودکان
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
تحقیقات سرطان
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Validation of a prognostic multi-gene signature in high-risk neuroblastoma using the high throughput digital NanoString nCounter⢠system Validation of a prognostic multi-gene signature in high-risk neuroblastoma using the high throughput digital NanoString nCounter⢠system](/preview/png/10914686.png)
چکیده انگلیسی
Microarray-based molecular signatures have not been widely integrated into neuroblastoma diagnostic classification systems due to the complexities of the assay and requirement for high-quality RNA. New digital technologies that accurately quantify gene expression using RNA isolated from formalin-fixed paraffin embedded (FFPE) tissues are now available. In this study, we describe the first use of a high-throughput digital system to assay the expression of genes in an “ultra-high risk” microarray classifier in FFPE high-risk neuroblastoma tumors. Customized probes corresponding to the 42 genes in a published multi-gene neuroblastoma signature were hybridized to RNA isolated from 107 FFPE high-risk neuroblastoma samples using the NanoString nCounter⢠Analysis System. For classification of each patient, the Pearson's correlation coefficient was calculated between the standardized nCounter⢠data and the molecular signature from the microarray data. We demonstrate that the nCounter⢠42-gene panel sub-stratified the high-risk cohort into two subsets with statistically significantly different overall survival (p = 0.0027) and event-free survival (p = 0.028). In contrast, none of the established prognostic risk markers (age, stage, tumor histology, MYCN status, and ploidy) were significantly associated with survival. We conclude that the nCounter⢠System can reproducibly quantify expression levels of signature genes in FFPE tumor samples. Validation of this microarray signature in our high-risk patient cohort using a completely different technology emphasizes the prognostic relevance of this classifier. Prospective studies testing the prognostic value of molecular signatures in high-risk neuroblastoma patients using FFPE tumor samples and the nCounter⢠System are warranted.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Molecular Oncology - Volume 8, Issue 3, May 2014, Pages 669-678
Journal: Molecular Oncology - Volume 8, Issue 3, May 2014, Pages 669-678
نویسندگان
Thomas P. Stricker, Andres Morales La Madrid, Alexandre Chlenski, Lisa Guerrero, Helen R. Salwen, Yasmin Gosiengfiao, Elizabeth J. Perlman, Wayne Furman, Armita Bahrami, Jason M. Shohet, Peter E. Zage, M. John Hicks, Hiroyuki Shimada, Rie Suganuma,