RNA expression analysis of formalin-fixed paraffin-embedded tumors
- PMID: 17297435
- DOI: 10.1038/labinvest.3700529
RNA expression analysis of formalin-fixed paraffin-embedded tumors
Abstract
RNA expression analysis is an important tool in cancer research, but a limitation has been the requirement for high-quality RNA, generally derived from frozen samples. Such tumor sets are often small and lack clinical annotation, whereas formalin-fixed paraffin-embedded (FFPE) materials are abundant. Although RT-PCR-based methods from FFPE samples are finding clinical application, genome-wide microarray analysis has proven difficult. Here, we report expression profiling on RNA from 157 FFPE tumors. RNA was extracted from 2- to 8-year-old FFPE or frozen tumors of known and unknown histologies. Total RNA was analyzed, reverse-transcribed and used for the synthesis of labeled aRNA after two rounds of amplification. Labeled aRNA was hybridized to a 3'-based 22K spot oligonucleotide arrays, and compared to a labeled reference by two-color microarray analysis. After normalization, gene expression profiles were compared by unsupervised hierarchical clustering. Using this approach, at least 24% of unselected FFPE samples produced RNA of sufficient quality for microarray analysis. From our initial studies, we determined criteria based on spectrophotometric analyses and a novel TaqMan-based assay to predict which samples were of sufficient quality for microarray analysis before hybridization. These criteria were validated on an independent set of tumors with a 100% success rate (20 of 20). Unsupervised analysis of informative gene expression profiles distinguished tumor type and subtype, and identified tumor tissue of origin in three unclassified carcinomas. Although only a minority of FFPE blocks could be analyzed, we show that informative RNA expression analysis can be derived from selected FFPE samples.
Similar articles
-
Mining the Archives: A Cross-Platform Analysis of Gene Expression Profiles in Archival Formalin-Fixed Paraffin-Embedded Tissues.Toxicol Sci. 2015 Dec;148(2):460-72. doi: 10.1093/toxsci/kfv195. Epub 2015 Sep 10. Toxicol Sci. 2015. PMID: 26361796 Free PMC article.
-
Preparation of archival formalin-fixed paraffin-embedded mouse liver samples for use with the Agilent gene expression microarray platform.J Pharmacol Toxicol Methods. 2013 Sep-Oct;68(2):260-268. doi: 10.1016/j.vascn.2013.02.008. Epub 2013 Mar 1. J Pharmacol Toxicol Methods. 2013. PMID: 23458726
-
Global gene expression profiling of formalin-fixed paraffin-embedded tumor samples: a comparison to snap-frozen material using oligonucleotide microarrays.Virchows Arch. 2007 Jun;450(6):699-711. doi: 10.1007/s00428-007-0412-9. Epub 2007 May 4. Virchows Arch. 2007. PMID: 17479285
-
Genomics and the impact of new technologies on the management of colorectal cancer.Oncologist. 2006 Oct;11(9):988-91. doi: 10.1634/theoncologist.11-9-988. Oncologist. 2006. PMID: 17030639 Review.
-
Tissue microarray profiling of cancer specimens and cell lines: opportunities and limitations.Lab Invest. 2001 Oct;81(10):1331-8. doi: 10.1038/labinvest.3780347. Lab Invest. 2001. PMID: 11598146 Review.
Cited by
-
Evaluation of Hi-C Sequencing for Detection of Gene Fusions in Hematologic and Solid Tumor Pediatric Cancer Samples.Cancers (Basel). 2024 Aug 23;16(17):2936. doi: 10.3390/cancers16172936. Cancers (Basel). 2024. PMID: 39272793 Free PMC article.
-
DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues.Nat Commun. 2023 Sep 14;14(1):5686. doi: 10.1038/s41467-023-41015-0. Nat Commun. 2023. PMID: 37709764 Free PMC article.
-
A gene expression profile test to resolve head & neck squamous versus lung squamous cancers.Diagn Pathol. 2013 Mar 11;8:44. doi: 10.1186/1746-1596-8-44. Diagn Pathol. 2013. PMID: 23497426 Free PMC article.
-
Ultrasound-accelerated formalin fixation improves the preservation of nucleic acids extraction in histological sections.Int J Legal Med. 2009 Nov;123(6):521-5. doi: 10.1007/s00414-009-0368-1. Epub 2009 Aug 14. Int J Legal Med. 2009. PMID: 19685069
-
Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors.J Immunother Cancer. 2019 Jan 24;7(1):18. doi: 10.1186/s40425-018-0489-5. J Immunother Cancer. 2019. PMID: 30678715 Free PMC article.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous