Literature DB >> 16264960

Technology insight: Application of molecular techniques to formalin-fixed paraffin-embedded tissues from breast cancer.

Soonmyung Paik1, Chung-yeul Kim, Yong-kuk Song, Wan-seop Kim.   

Abstract

Breast cancer is a heterogenous disease in terms of both clinical behavior and molecular characteristics. To develop prognostic and predictive markers for breast cancer, it would be useful to be able to analyze formalin-fixed paraffin-embedded tissue (FPET) collected and banked from completed clinical trials. RNAs extracted from FPETs are chemically modified and fragmented, and are therefore not ideal substrates for gene-expression profiling assays. However, methods are being developed to optimize the use of such RNAs for high-throughput gene expression profiling assays. For microarray analysis, existing methods may be adequate for fresh FPET, but they do not work well with older FPET. For older samples, real-time reverse transcription-polymerase chain reaction is the method of choice for gene-expression profiling.

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Year:  2005        PMID: 16264960     DOI: 10.1038/ncponc0171

Source DB:  PubMed          Journal:  Nat Clin Pract Oncol        ISSN: 1743-4254


  36 in total

Review 1.  Gene-expression-based prognostic assays for breast cancer.

Authors:  Chungyeul Kim; Soonmyung Paik
Journal:  Nat Rev Clin Oncol       Date:  2010-05-04       Impact factor: 66.675

2.  Exon-level expression profiling: a comprehensive transcriptome analysis of oral fluids.

Authors:  Zhanzhi Hu; Bernhard G Zimmermann; Hui Zhou; Jianghua Wang; Bradley S Henson; Weixia Yu; David Elashoff; Guido Krupp; David T Wong
Journal:  Clin Chem       Date:  2008-03-20       Impact factor: 8.327

3.  Evidence for qualified quantitative mRNA analysis in formalin-fixed and paraffin-embedded colorectal carcinoma cells and tissue.

Authors:  Xiaobo Lu; Tahar van der Straaten; Marco Tiller; Xiaoxia Li
Journal:  J Clin Lab Anal       Date:  2011       Impact factor: 2.352

4.  Global gene expression profiling of formalin-fixed paraffin-embedded tumor samples: a comparison to snap-frozen material using oligonucleotide microarrays.

Authors:  Matthias Frank; Claudia Döring; Dirk Metzler; Susan Eckerle; Martin-Leo Hansmann
Journal:  Virchows Arch       Date:  2007-05-04       Impact factor: 4.064

Review 5.  RNA expression analysis from formalin fixed paraffin embedded tissues.

Authors:  Susan M Farragher; Austin Tanney; Richard D Kennedy; D Paul Harkin
Journal:  Histochem Cell Biol       Date:  2008-08-05       Impact factor: 4.304

6.  Targeted KRAS mutation assessment on patient tumor histologic material in real time diagnostics.

Authors:  Vassiliki Kotoula; Elpida Charalambous; Bart Biesmans; Andigoni Malousi; Eleni Vrettou; George Fountzilas; George Karkavelas
Journal:  PLoS One       Date:  2009-11-04       Impact factor: 3.240

7.  Whole-genome gene expression profiling of formalin-fixed, paraffin-embedded tissue samples.

Authors:  Craig April; Brandy Klotzle; Thomas Royce; Eliza Wickham-Garcia; Tanya Boyaniwsky; John Izzo; Donald Cox; Wendell Jones; Renee Rubio; Kristina Holton; Ursula Matulonis; John Quackenbush; Jian-Bing Fan
Journal:  PLoS One       Date:  2009-12-03       Impact factor: 3.240

8.  Development of a microarray platform for FFPET profiling: application to the classification of human tumors.

Authors:  Sven Duenwald; Mingjie Zhou; Yanqun Wang; Serguei Lejnine; Amit Kulkarni; Jaime Graves; Ryan Smith; John Castle; George Tokiwa; Bernard Fine; Hongyue Dai; Thomas Fare; Matthew Marton
Journal:  J Transl Med       Date:  2009-07-28       Impact factor: 5.531

9.  MAL2 and tumor protein D52 (TPD52) are frequently overexpressed in ovarian carcinoma, but differentially associated with histological subtype and patient outcome.

Authors:  Jennifer A Byrne; Sanaz Maleki; Jayne R Hardy; Brian S Gloss; Rajmohan Murali; James P Scurry; Susan Fanayan; Catherine Emmanuel; Neville F Hacker; Robert L Sutherland; Anna Defazio; Philippa M O'Brien
Journal:  BMC Cancer       Date:  2010-09-17       Impact factor: 4.430

10.  3'-end sequencing for expression quantification (3SEQ) from archival tumor samples.

Authors:  Andrew H Beck; Ziming Weng; Daniela M Witten; Shirley Zhu; Joseph W Foley; Phil Lacroute; Cheryl L Smith; Robert Tibshirani; Matt van de Rijn; Arend Sidow; Robert B West
Journal:  PLoS One       Date:  2010-01-19       Impact factor: 3.240

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