Robust global micro-RNA profiling with formalin-fixed paraffin-embedded breast cancer tissues

被引:199
作者
Hui, Angela B. Y. [2 ]
Shi, Wei [2 ]
Boutros, Paul C. [3 ,4 ,5 ,6 ]
Miller, Naomi [7 ]
Pintilie, Melania [8 ]
Fyles, Tony [10 ]
McCready, David [9 ]
Wong, Derek [2 ]
Gerster, Kate [2 ]
Jurisica, Igor [1 ,3 ,5 ]
Penn, Linda Z. [3 ,4 ]
Liu, Fei-Fei [2 ,3 ,10 ,11 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[2] Univ Hlth Network, Ontario Canc Inst, Div Appl Mol Oncol, Toronto, ON, Canada
[3] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[4] Univ Hlth Network, Ontario Canc Inst, Div Canc Genom & Proteom, Toronto, ON, Canada
[5] Univ Hlth Network, Ontario Canc Inst, Div Signaling Biol, Toronto, ON, Canada
[6] Ontario Inst Canc Res, Toronto, ON, Canada
[7] Univ Hlth Network, Princess Margaret Hosp, Dept Pathol, Toronto, ON, Canada
[8] Univ Hlth Network, Princess Margaret Hosp, Div Biostat, Toronto, ON, Canada
[9] Univ Hlth Network, Princess Margaret Hosp, Dept Surg Oncol, Toronto, ON, Canada
[10] Univ Toronto, Dept Radiat Oncol, Toronto, ON, Canada
[11] Univ Hlth Network, Ontario Canc Inst, Dept Radiat Oncol, Princess Margaret Hosp, Toronto, ON M5G 2M9, Canada
关键词
formalin-fixed paraffin-embedded samples; breast tumours; micro-RNA profiling; quantitative real-time PCR; dysregulated miRNA; CHRONIC LYMPHOCYTIC-LEUKEMIA; GENE-EXPRESSION; LUNG-CANCER; CELL-LINES; SIGNATURE; PLATFORMS; PROGNOSIS; SAMPLES; TARGETS; FROZEN;
D O I
10.1038/labinvest.2009.12
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Global micro-RNA (miR) profiling of human malignancies is increasingly performed, but to date, the majority of such analyses have used frozen tissues. However, formalin fixation is the standard and routine histological practice for optimal preservation of cellular morphology. To determine whether miR analysis of formalin-fixed tissues is feasible, quantitative real-time PCR (qRT-PCR) profiling of miR expression in 40 archival formalin-fixed paraffin-embedded (FFPE) breast lumpectomy specimens were performed. Taqman Low Density Arrays (TLDAs) were used to assess the expression level of 365 miRs in 34 invasive ductal carcinomas and in 6 normal comparators derived from reduction mammoplasties. Its technical reproducibility was high, with intra-sample correlations above 0.9 and with 92.8% accuracy in differential expression comparisons, indicating such global profiling studies to be technically and biologically robust. The TLDA data were confirmed using conventional single-well qRT-PCR analysis, showing a strong and statistically significant concordance between these two methods. Paired frozen and FFPE breast cancer samples from the same patients showed a similar level of robust correlation of at least 0.94. Compared with normal breast samples, a panel of miRs was consistently dysregulated in breast cancer, including earlier-reported breast cancer-related miRs, such as upregulated miR-21, miR-155, miR-191, and miR-196a, and downregulated miR-125b and miR-221. Additional novel miR sequences of potential biological relevance were also uncovered. These results show the validity and utility of conducting global miR profiling using FFPE samples, thereby offering enormous opportunities to evaluate archival banks of such materials, linked to clinical databases, to rapidly acquire greater insight into the clinically relevant role for miRs in human malignancies.
引用
收藏
页码:597 / 606
页数:10
相关论文
共 51 条
[11]   Evaluation of DNA microarray results with quantitative gene expression platforms [J].
Canales, Roger D. ;
Luo, Yuling ;
Willey, James C. ;
Austermiller, Bradley ;
Barbacioru, Catalin C. ;
Boysen, Cecilie ;
Hunkapiller, Kathryn ;
Jensen, Roderick V. ;
Knight, Charles R. ;
Lee, Kathleen Y. ;
Ma, Yunqing ;
Maqsodi, Botoul ;
Papallo, Adam ;
Peters, Elizabeth Herness ;
Poulter, Karen ;
Ruppel, Patricia L. ;
Samaha, Raymond R. ;
Shi, Leming ;
Yang, Wen ;
Zhang, Lu ;
Goodsaid, Federico M. .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1115-1122
[12]   MicroRNA-21 is an antiapoptotic factor in human glioblastoma cells [J].
Chan, JA ;
Krichevsky, AM ;
Kosik, KS .
CANCER RESEARCH, 2005, 65 (14) :6029-6033
[13]   Real-time quantification of microRNAs by stem-loop RT-PCR [J].
Chen, CF ;
Ridzon, DA ;
Broomer, AJ ;
Zhou, ZH ;
Lee, DH ;
Nguyen, JT ;
Barbisin, M ;
Xu, NL ;
Mahuvakar, VR ;
Andersen, MR ;
Lao, KQ ;
Livak, KJ ;
Guegler, KJ .
NUCLEIC ACIDS RESEARCH, 2005, 33 (20) :e179.1-e179.9
[14]   Measurement of gene expression in archival paraffin-embedded tissues - Development and performance of a 92-gene reverse transcriptase-polymerase chain reaction assay [J].
Cronin, M ;
Pho, M ;
Dutta, D ;
Stephans, JC ;
Shak, S ;
Kiefer, MC ;
Esteban, JM ;
Baker, JB .
AMERICAN JOURNAL OF PATHOLOGY, 2004, 164 (01) :35-42
[15]  
Duda R. O., 2000, Pattern classification
[16]   Oncomirs - microRNAs with a role in cancer [J].
Esquela-Kerscher, A ;
Slack, FJ .
NATURE REVIEWS CANCER, 2006, 6 (04) :259-269
[17]   Impact of microarray data quality on genomic data submissions to the FDA [J].
Frueh, Felix W. .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1105-1107
[18]   miRBase: microRNA sequences, targets and gene nomenclature [J].
Griffiths-Jones, Sam ;
Grocock, Russell J. ;
van Dongen, Stijn ;
Bateman, Alex ;
Enright, Anton J. .
NUCLEIC ACIDS RESEARCH, 2006, 34 :D140-D144
[19]   Rat toxicogenomic study reveals analytical consistency across microarray platforms [J].
Guo, Lei ;
Lobenhofer, Edward K. ;
Wang, Charles ;
Shippy, Richard ;
Harris, Stephen C. ;
Zhang, Lu ;
Mei, Nan ;
Chen, Tao ;
Herman, Damir ;
Goodsaid, Federico M. ;
Hurban, Patrick ;
Phillips, Kenneth L. ;
Xu, Jun ;
Deng, Xutao ;
Sun, Yongming Andrew ;
Tong, Weida ;
Dragan, Yvonne P. ;
Shi, Leming .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1162-1169
[20]   Distinctive MicroRNA profiles relating to patient survival in esophageal squamous cell carcinoma [J].
Guo, Yong ;
Chen, Zhaoli ;
Zhang, Liang ;
Zhou, Fang ;
Shi, Susheng ;
Feng, Xiaoli ;
Li, Baozhong ;
Meng, Xin ;
Ma, Xi ;
Luo, Mingyong ;
Shao, Kang ;
Li, Ning ;
Qiu, Bin ;
Mitchelson, Keith ;
Cheng, Jing ;
He, Jie .
CANCER RESEARCH, 2008, 68 (01) :26-33