Literature DB >> 18687792

Accurate molecular characterization of formalin-fixed, paraffin-embedded tissues by microRNA expression profiling.

Anna E Szafranska1, Timothy S Davison, Jaclyn Shingara, Martina Doleshal, Judith A Riggenbach, Carl D Morrison, Scott Jewell, Emmanuel Labourier.   

Abstract

Formalin-fixed, paraffin-embedded tissues are an invaluable tool for biomarker discovery and validation. As these archived specimens are not always compatible with modern genomic techniques such as gene expression arrays, we assessed the use of microRNA (miRNA) as an alternative means for the reliable molecular characterization of formalin-fixed, paraffin-embedded tissues. Expression profiling using two different microarray platforms and multiple mouse and human formalin-fixed, paraffin-embedded tissue types resulted in the correlation ratios of miRNA expression levels between frozen and fixed tissue pairs ranging from 0.82 to 0.99, depending on the cellular heterogeneity of the tissue type. The same miRNAs were identified as differentially expressed between tissues using both fixed and frozen specimens. While formalin fixation time had only marginal effects on microarray performance, extended storage times for tissue blocks (up to 11 years) resulted in a gradual loss of detection of miRNAs expressed at low levels. Method reproducibility and accuracy were also evaluated in two different tissues stored for different lengths of time. The technical variation between full process replicates, including independent RNA isolation methods, was approximately 5%, and the correlation of expression levels between microarray and real-time quantitative reverse transcriptase polymerase chain reaction was 0.98. Together, these data demonstrate that miRNA expression profiling is an accurate and robust method for the molecular analysis of archived clinical specimens, potentially extending the use of miRNAs as new diagnostic, prognostic, and treatment response biomarkers.

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Year:  2008        PMID: 18687792      PMCID: PMC2518736          DOI: 10.2353/jmoldx.2008.080018

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  21 in total

1.  Quantitative mRNA expression analysis from formalin-fixed, paraffin-embedded tissues using 5' nuclease quantitative reverse transcription-polymerase chain reaction.

Authors:  T E Godfrey; S H Kim; M Chavira; D W Ruff; R S Warren; J W Gray; R H Jensen
Journal:  J Mol Diagn       Date:  2000-05       Impact factor: 5.568

Review 2.  Unlocking the archive--gene expression in paraffin-embedded tissue.

Authors:  F Lewis; N J Maughan; V Smith; K Hillan; P Quirke
Journal:  J Pathol       Date:  2001-09       Impact factor: 7.996

3.  Variance stabilization applied to microarray data calibration and to the quantification of differential expression.

Authors:  Wolfgang Huber; Anja von Heydebreck; Holger Sültmann; Annemarie Poustka; Martin Vingron
Journal:  Bioinformatics       Date:  2002       Impact factor: 6.937

4.  Microarray-based, high-throughput gene expression profiling of microRNAs.

Authors:  Peter T Nelson; Don A Baldwin; L Marie Scearce; J Carl Oberholtzer; John W Tobias; Zissimos Mourelatos
Journal:  Nat Methods       Date:  2004-10-21       Impact factor: 28.547

5.  An optimized isolation and labeling platform for accurate microRNA expression profiling.

Authors:  Jaclyn Shingara; Kerri Keiger; Jeffrey Shelton; Walairat Laosinchai-Wolf; Patricia Powers; Richard Conrad; David Brown; Emmanuel Labourier
Journal:  RNA       Date:  2005-07-25       Impact factor: 4.942

6.  RAKE and LNA-ISH reveal microRNA expression and localization in archival human brain.

Authors:  Peter T Nelson; Don A Baldwin; Wigard P Kloosterman; Sakari Kauppinen; Ronald H A Plasterk; Zissimos Mourelatos
Journal:  RNA       Date:  2005-12-22       Impact factor: 4.942

7.  Effectiveness of gene expression profiling for response prediction of rectal adenocarcinomas to preoperative chemoradiotherapy.

Authors:  B Michael Ghadimi; Marian Grade; Michael J Difilippantonio; Sudhir Varma; Richard Simon; Cristina Montagna; Laszlo Füzesi; Claus Langer; Heinz Becker; Torsten Liersch; Thomas Ried
Journal:  J Clin Oncol       Date:  2005-03-20       Impact factor: 44.544

8.  Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.

Authors:  A A Alizadeh; M B Eisen; R E Davis; C Ma; I S Lossos; A Rosenwald; J C Boldrick; H Sabet; T Tran; X Yu; J I Powell; L Yang; G E Marti; T Moore; J Hudson; L Lu; D B Lewis; R Tibshirani; G Sherlock; W C Chan; T C Greiner; D D Weisenburger; J O Armitage; R Warnke; R Levy; W Wilson; M R Grever; J C Byrd; D Botstein; P O Brown; L M Staudt
Journal:  Nature       Date:  2000-02-03       Impact factor: 49.962

9.  Gene-expression profiles predict survival of patients with lung adenocarcinoma.

Authors:  David G Beer; Sharon L R Kardia; Chiang-Ching Huang; Thomas J Giordano; Albert M Levin; David E Misek; Lin Lin; Guoan Chen; Tarek G Gharib; Dafydd G Thomas; Michelle L Lizyness; Rork Kuick; Satoru Hayasaka; Jeremy M G Taylor; Mark D Iannettoni; Mark B Orringer; Samir Hanash
Journal:  Nat Med       Date:  2002-07-15       Impact factor: 53.440

Review 10.  Mammalian microRNAs: a small world for fine-tuning gene expression.

Authors:  Cinzia Sevignani; George A Calin; Linda D Siracusa; Carlo M Croce
Journal:  Mamm Genome       Date:  2006-03-03       Impact factor: 2.957

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  47 in total

1.  Influence of RNA labeling on expression profiling of microRNAs.

Authors:  John S Kaddis; Daniel H Wai; Jessica Bowers; Nicole Hartmann; Lukas Baeriswyl; Sheetal Bajaj; Michael J Anderson; Robert C Getts; Timothy J Triche
Journal:  J Mol Diagn       Date:  2011-11-07       Impact factor: 5.568

Review 2.  Aberrant epigenetic grooming of miRNAs in pancreatic cancer: a systems biology perspective.

Authors:  Asfar S Azmi; Frances W J Beck; Bin Bao; Ramzi M Mohammad; Fazlul H Sarkar
Journal:  Epigenomics       Date:  2011-12       Impact factor: 4.778

3.  Immunoguided laser assisted microdissection techniques for DNA methylation analysis of archival tissue specimens.

Authors:  Franziska C Eberle; Jeffrey C Hanson; J Keith Killian; Lai Wei; Kris Ylaya; Stephen M Hewitt; Elaine S Jaffe; Michael R Emmert-Buck; Jaime Rodriguez-Canales
Journal:  J Mol Diagn       Date:  2010-04-22       Impact factor: 5.568

4.  miRNA biomarkers in cyst fluid augment the diagnosis and management of pancreatic cysts.

Authors:  Hanno Matthaei; Dennis Wylie; Maura B Lloyd; Marco Dal Molin; Jon Kemppainen; Skye C Mayo; Christopher L Wolfgang; Richard D Schulick; Laura Langfield; Bernard F Andruss; Alex T Adai; Ralph H Hruban; Anna E Szafranska-Schwarzbach; Anirban Maitra
Journal:  Clin Cancer Res       Date:  2012-06-21       Impact factor: 12.531

5.  Cloning and identification of microRNAs in bovine alveolar macrophages.

Authors:  Guangxian Xu; Yan Zhang; Hao Jia; Juan Li; Xiaoming Liu; John F Engelhardt; Yujiong Wang
Journal:  Mol Cell Biochem       Date:  2009-06-09       Impact factor: 3.396

6.  The emergent role of microRNAs in molecular diagnostics of cancer.

Authors:  Wayne Tam
Journal:  J Mol Diagn       Date:  2008-08-07       Impact factor: 5.568

7.  MicroRNA expression profiling outperforms mRNA expression profiling in formalin-fixed paraffin-embedded tissues.

Authors:  Aihua Liu; Michael T Tetzlaff; Pat Vanbelle; David Elder; Michael Feldman; John W Tobias; Antonia R Sepulveda; Xiaowei Xu
Journal:  Int J Clin Exp Pathol       Date:  2009-03-20

Review 8.  Biobanking in genomic medicine.

Authors:  Jane H Zhou; Aysegul A Sahin; Jeffrey N Myers
Journal:  Arch Pathol Lab Med       Date:  2015-06       Impact factor: 5.534

9.  Optimization and analysis of a quantitative real-time PCR-based technique to determine microRNA expression in formalin-fixed paraffin-embedded samples.

Authors:  Rashmi S Goswami; Levi Waldron; Jerry Machado; Nilva K Cervigne; Wei Xu; Patricia P Reis; Denis J Bailey; Igor Jurisica; Michael R Crump; Suzanne Kamel-Reid
Journal:  BMC Biotechnol       Date:  2010-06-23       Impact factor: 2.563

10.  MicroRNAs and lung cancer: Biology and applications in diagnosis and prognosis.

Authors:  Reema Mallick; Santosh Kumar Patnaik; Sai Yendamuri
Journal:  J Carcinog       Date:  2010-08-03
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