Nakao Kenjiro, Oikawa Masahiro, Arai Junichi, Mussazhanova Zhanna, Kondo Hisayoshi, Shichijo Kazuko, Nakashima Masahiro, Hayashi Tomayoshi, Yoshiura Koh-Ichiro, Hatachi Toshiko, Nagayasu Takeshi
Department of Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Diagn Mol Pathol. 2013 Sep;22(3):174-80. doi: 10.1097/PDM.0b013e31828191de.
Utilizing formalin-fixed paraffin-embedded (FFPE) archival tissue, the most common form of tissue preservation in routine practice, for cytogenetic analysis using microarray comparative genomic hybridization (aCGH) remains challenging. We searched for a predictive factor of the performance of FFPE DNA in aCGH analysis. DNA was extracted from 63 FFPE archival tissue samples of various tissue types (31 breast cancers, 24 lung cancers, and 8 thyroid tumors), followed by aCGH analysis using high-density oligonucleotide microarrays. Tumor DNA from matched frozen samples and from FFPE samples after whole-genome amplification were also analyzed in 2 and 4 case, respectively. The derivative log ratio spread (DLRSpread) was used to assess the overall quality of each aCGH result. The DLRSpread correlated significantly with the double-stranded DNA ratio of tumor DNA, storage time, and the degree of labeling with Cy5 (P<0.0001; correlation coefficients=-0.796, 0.551, -0.481, respectively). Stepwise multiple linear regression analysis revealed that the double-stranded DNA ratio of tumor DNA is the most significant predictive factor of DLRSpread (regression coefficient=-0.4798; P=<0.0001). The cytogenetic profiles of FFPE and matched frozen samples showed good concordance. Although the double-stranded DNA ratios were increased after whole-genome amplification, the DLRSpread was not improved. The double-stranded DNA ratio can be used to predict the performance of aCGH analysis for DNA from FFPE samples. Using this quality metric, valuable FFPE archival tissue samples can be utilized for aCGH analysis.
利用福尔马林固定石蜡包埋(FFPE)存档组织(常规实践中最常见的组织保存形式)进行基于微阵列比较基因组杂交(aCGH)的细胞遗传学分析仍然具有挑战性。我们寻找了FFPE DNA在aCGH分析中性能的预测因素。从63个不同组织类型的FFPE存档组织样本(31例乳腺癌、24例肺癌和8例甲状腺肿瘤)中提取DNA,随后使用高密度寡核苷酸微阵列进行aCGH分析。还分别对2例和4例病例中匹配的冷冻样本和全基因组扩增后的FFPE样本中的肿瘤DNA进行了分析。使用导数对数比值分布(DLRSpread)评估每个aCGH结果的整体质量。DLRSpread与肿瘤DNA的双链DNA比例、储存时间和Cy5标记程度显著相关(P<0.0001;相关系数分别为-0.796、0.551、-0.481)。逐步多元线性回归分析表明,肿瘤DNA的双链DNA比例是DLRSpread最显著的预测因素(回归系数=-0.4798;P=<0.0001)。FFPE样本和匹配的冷冻样本的细胞遗传学图谱显示出良好的一致性。尽管全基因组扩增后双链DNA比例增加,但DLRSpread并未改善。双链DNA比例可用于预测FFPE样本DNA的aCGH分析性能。使用这种质量指标,有价值的FFPE存档组织样本可用于aCGH分析。