Evaluation of frozen tissue-derived prognostic gene expression signatures in FFPE colorectal cancer samples

被引:15
|
作者
Zhu, Jing [1 ,2 ]
Deane, Natasha G. [1 ,2 ]
Lewis, Keeli B. [1 ]
Padmanabhan, Chandrasekhar [1 ]
Washington, M. Kay [2 ,3 ]
Ciombor, Kristen K. [4 ,5 ]
Timmers, Cynthia [4 ]
Goldberg, Richard M. [4 ,5 ]
Beauchamp, R. Daniel [1 ,2 ,6 ,7 ]
Chen, Xi [8 ,9 ]
机构
[1] Vanderbilt Univ, Dept Surg, Nashville, TN 37232 USA
[2] Vanderbilt Univ, Vanderbilt Ingram Canc Ctr, Nashville, TN 37232 USA
[3] Vanderbilt Univ, Dept Pathol, Nashville, TN 37232 USA
[4] Ohio State Univ, Ctr Comprehens Canc, Columbus, OH 43210 USA
[5] Ohio State Univ, Div Med Oncol, Dept Internal Med, Columbus, OH 43210 USA
[6] Vanderbilt Univ, Dept Cell & Dev Biol, Nashville, TN 37232 USA
[7] Vanderbilt Univ, Dept Canc Biol, Nashville, TN 37232 USA
[8] Univ Miami, Miller Sch Med, Dept Publ Hlth Sci, Div Biostat, Miami, FL 33136 USA
[9] Univ Miami, Miller Sch Med, Sylvester Comprehens Canc Ctr, Miami, FL 33136 USA
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
关键词
II COLON-CANCER; MESSENGER-RNA; PREDICT RECURRENCE; CHEMOTHERAPY; STATISTICS; PROFILE; CELLS; ASSAY;
D O I
10.1038/srep33273
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Defining molecular features that can predict the recurrence of colorectal cancer (CRC) for stage II-III patients remains challenging in cancer research. Most available clinical samples are Formalin-Fixed, Paraffin-Embedded (FFPE). NanoString nCounter (R) and Affymetrix GeneChip (R) Human Transcriptome Array 2.0 (HTA) are the two platforms marketed for high-throughput gene expression profiling for FFPE samples. In this study, to evaluate the gene expression of frozen tissue-derived prognostic signatures in FFPE CRC samples, we evaluated the expression of 516 genes from published frozen tissue-derived prognostic signatures in 42 FFPE CRC samples measured by both platforms. Based on HTA platform-derived data, we identified both gene (99 individual genes, FDR < 0.05) and gene set (four of the six reported multi-gene signatures with sufficient information for evaluation, P < 0.05) expression differences associated with survival outcomes. Using nCounter platform-derived data, one of the six multi-gene signatures (P < 0.05) but no individual gene was associated with survival outcomes. Our study indicated that sufficiently high quality RNA could be obtained from FFPE tumor tissues to detect frozen tissue-derived prognostic gene expression signatures for CRC patients.
引用
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页数:11
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