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A comparison between DASL and Affymetrix on probing the whole-transcriptome

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Abstract

Whole-transcriptome microarray analysis has become a popular strategy to study geneexpression in cancer, exploiting the largely available formalin-fixed paraffin-embedded (FFPE) sample resources. However, there have been relatively few comparative studies evaluating the performance of the different gene-expression array platforms.

We compared two commonly used whole-transcriptome microarray platforms: Illumina human whole genome cDNA-mediated annealing, selection extension and ligation (DASL) beadchip and Affymetrix U133 Plus2 GeneChip (Affymetrix). Gene expression data based on both platforms were collected on the same total RNA extracted from FFPE tissue samples of 221 advanced breast cancer patients. Correlations between two platforms were assessed using Pearson and Spearman correlation coefficients (CCs). For both platforms we also assessed coefficient of variation, which measures relative dispersion. Finally, we compared the applicability of DASL and Affymetrix for classification of breast cancer molecular subtypes using the PAM50 classifiers.

Overall, there was a statistically significant, positive gene- and patient-wise correlation between the two platforms, with stronger relationship for patient-wise CC. The relative dispersion was smaller in DASL compared to Affymetrix. The consistency in subtype classification for both microarray platforms was weak (63%).

We observed weak, yet positive correlation between two platforms and different magnitudes of correlations were observed according to the metrics used.

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References

  • Abramovitz, M., Ordanic-Kodani, M., Wang, Y., Li, Z., Catzavelos, C., Bouzyk, M., et al. (2008). Optimization of rna extraction from ffpe tissues for expression profiling in the dasl assay. Biotechniques, 44(3), 417–423.

    Article  Google Scholar 

  • Barnes, M., Freudenberg, J., Thompson, S., Aronow, B., & Pavlidis, P. (2005). Experimental comparison and cross-validation of the affymetrix and illumina gene expression analysis platforms. Nucleic Acids Research, 33(18), 5914–5923.

    Article  Google Scholar 

  • Bastien, R., Rodriguez-Lescure, A., Ebbert, M., Prat, A., Munarriz, B., Rowe, L., et al. (2012). Pam50 breast cancer subtyping by rt-qpcr and concordance with standard clinical molecular markers. BMC Medical Genomics, 5(44).

    Google Scholar 

  • Benito, M., Parker, J., Du, Q., Wu, J., Xiang, D., Perou, C., et al. (2004). Adjustment of systematic microarray data biases. Bioinformatics, 20(1), 105–114.

    Article  Google Scholar 

  • Carter, S., Eklund, A., Mecham, B., Kohane, I., & Szallasi, Z. (2005). Redefinition of affymetrix probe sets by sequence overlap with cdna microarray probes reduces cross-platform inconsistencies in cancer-associated gene expression measurements. BMC Bioinformatics, 6(107).

    Google Scholar 

  • Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(37), 37–46.

    Article  Google Scholar 

  • Cohen, J. (1968). Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. Psychological Bulletin, 70(4), 213–220.

    Article  Google Scholar 

  • Futreal, P., Coin, L., Marshall, M., Down, T., Hubbard, T., Wooster, R., et al. (2004). A census of human cancer genes. Nature Reviews Cancer, 4(3), 177–183.

    Article  Google Scholar 

  • Gry, M., Rimini, S., Stromberg, S., Asplund, A., Ponten, F., Uhlen, M., et al. (2009). Correlations between rna and protein expression profiles in 23 human cell lines. BMC Genomics, 10(E365).

    Google Scholar 

  • Kuo, W., Jenssen, T., Butte, A., Ohno-Machado, L., & Kohane, I. (2002). Analysis of matched mrna measurements from two different microarray technologies. Bioinformatics, 18(3), 405–412.

    Article  Google Scholar 

  • Landis, J., & Koch, G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.

    Article  Google Scholar 

  • Lee, J. K., Bussey, K. J., Gwadry, F. G., Reinhold, W., Riddick, G., Pelletier, S. L., et al. (2003). Comparing cdna adn loigonucleiotide array data: concordance of gene expression across platforms for the nci-60 cancer cells. Genome Biology, 4(12), R82.

    Article  Google Scholar 

  • Parker, J. S., Mullins, M., Cheang, M. C., Leung, S., Voduc, D., Vickery, T., et al. (2009). Supervised risk predictor of breast cancer based on intrinsic subtypes. Journal of Clinical Oncology, 27(8), 1160–1167.

    Article  Google Scholar 

  • Perou, C., Sorlie, T., Eisen, M., Rijn, M., Jeffrey, S., Rees, C., et al. (2000). Molecular portraits of human breast tumours. Nature, 406(6797), 747–752.

    Article  Google Scholar 

  • Shankavaram, U., Reinhold, W. C., Nishizuka, S., Major, S., Morita, D., Chary, K. K., et al. (2007). Transcript and protein expression profiles of the nci-60 cancer cell panel: an integromic microarray study. Molecular Cancer Therapeutics, 6(3), 820–832.

    Article  Google Scholar 

  • Waldron, L., Ogino, S., Hoshida, Y., Shima, K., McCartReed, A. E., Simpson, P. T., et al. (2012). Expression profiling of archival tumors for long-term health studies. Clinical Cancer Research, 18(22), 6136–6146.

    Article  Google Scholar 

  • Woo, Y., Affourtit, J., Daigle, S., Viale, A., Johnson, K., Naggert, J., et al. (2004). A comparison of cdna, oligonucleotide, and affymetrix genechip gene expression microarray platforms. Journal of Biomolecular Techniques, 15(4), 276–284.

    Google Scholar 

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Correspondence to Changyu Shenk.

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Jeong, J., Audet, R., Chang, J. et al. A comparison between DASL and Affymetrix on probing the whole-transcriptome. J. Korean Stat. Soc. 45, 149–155 (2016). https://doi.org/10.1016/j.jkss.2015.09.001

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  • DOI: https://doi.org/10.1016/j.jkss.2015.09.001

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