Hanlon Katy, Harries Lorna W, Ellard Sian, Rudin Claudius E
Institute of Biomedical and Clinical Sciences, Peninsula Medical School, Barrack Road, Exeter, EX2 5DW.
J Mol Diagn. 2009 Sep;11(5):450-7. doi: 10.2353/jmoldx.2009.090027. Epub 2009 Jul 30.
Chromosome 13q deletions are common in multiple myeloma and other cancers, demonstrating the importance of this region in tumorigenesis. We used a novel single nucleotide polymorphism (SNP)-based technique, digital SNP (dSNP), to identify loss of heterozygosity (LOH) at chromosome 13q in paraffin-embedded bone marrow biopsies from 22 patients with multiple myeloma. We analyzed heterozygous SNPs at 13q for the presence of allelic imbalances and examined the results by sequential probability ratio analysis. Where possible, dSNP results were confirmed by fluorescence in situ hybridization. Using dSNP, we identified 13q LOH in 16/18 (89%) (95% Confidence Interval; 65%, 99%) patients without the need for neoplastic cell enrichment. In 8/16 (50%) cases, either partial or interstitial patterns of LOH were observed. Both fluorescence in situ hybridization and dSNP data proved concordant in just 3/9 cases. Five of the six discrepancies showed LOH by dSNP occurring beyond the boundaries of the fluorescence in situ hybridization probes. Our findings show that dSNP represents a useful technique for the analysis of LOH in archival tissue with minimal infiltration of neoplastic cells. The high-resolution screening afforded by the dSNP technology allowed for the identification of complex chromosomal rearrangements, resulting in either partial or interstitial LOH. Digital SNP represents an attractive approach for the investigation of tumors not suitable for genomic-array analysis.
13号染色体长臂缺失在多发性骨髓瘤和其他癌症中很常见,这表明该区域在肿瘤发生过程中的重要性。我们使用了一种基于单核苷酸多态性(SNP)的新型技术——数字SNP(dSNP),来鉴定22例多发性骨髓瘤患者石蜡包埋骨髓活检标本中13号染色体长臂的杂合性缺失(LOH)。我们分析了13号染色体长臂上的杂合SNP,以检测等位基因失衡的存在,并通过序贯概率比分析来检验结果。在可能的情况下,dSNP结果通过荧光原位杂交进行确认。使用dSNP,我们在16/18(89%)(95%置信区间;65%,99%)的患者中鉴定出13号染色体长臂LOH,无需进行肿瘤细胞富集。在8/16(50%)的病例中,观察到了部分或间质性的LOH模式。荧光原位杂交和dSNP数据仅在3/9的病例中显示一致。六个差异中的五个显示,dSNP检测到的LOH发生在荧光原位杂交探针边界之外。我们的研究结果表明,dSNP是一种用于分析肿瘤细胞浸润最少的存档组织中LOH的有用技术。dSNP技术提供的高分辨率筛选能够识别复杂的染色体重排,从而导致部分或间质性LOH。数字SNP是一种用于研究不适合进行基因组阵列分析的肿瘤的有吸引力的方法。