Rosa-Rosa Juan Manuel, Cuenca Isabel, Medina Alejandro, Vázquez Iria, Sánchez-delaCruz Andrea, Buenache Natalia, Sánchez Ricardo, Jiménez Cristina, Rosiñol Laura, Gutiérrez Norma C, Ruiz-Heredia Yanira, Barrio Santiago, Oriol Albert, Martin-Ramos Maria-Luisa, Blanchard María-Jesús, Ayala Rosa, Ríos-Tamayo Rafael, Sureda Anna, Hernández Miguel-Teodoro, de la Rubia Javier, Alkorta-Aranburu Gorka, Agirre Xabier, Bladé Joan, Mateos María-Victoria, Lahuerta Juan-José, San-Miguel Jesús F, Calasanz María-José, Garcia-Sanz Ramón, Martínez-Lopez Joaquín
Hematology Department, Hospital 12 de Octubre, 28041 Madrid, Spain.
H12O-CNIO Hematological Malignancies Clinical Research Unit, Spanish National Cancer Research (CNIO), 29029 Madrid, Spain.
Cancers (Basel). 2022 Oct 21;14(20):5169. doi: 10.3390/cancers14205169.
Next-generation sequencing (NGS) has greatly improved our ability to detect the genomic aberrations occurring in multiple myeloma (MM); however, its transfer to routine clinical labs and its validation in clinical trials remains to be established. We designed a capture-based NGS targeted panel to identify, in a single assay, known genetic alterations for the prognostic stratification of MM. The NGS panel was designed for the simultaneous study of single nucleotide and copy number variations, insertions and deletions, chromosomal translocations and V(D)J rearrangements. The panel was validated using a cohort of 149 MM patients enrolled in the GEM2012MENOS65 clinical trial. The results showed great global accuracy, with positive and negative predictive values close to 90% when compared with available data from fluorescence in situ hybridization and whole-exome sequencing. While the treatments used in the clinical trial showed high efficacy, patients defined as high-risk by the panel had shorter progression-free survival ( = 0.0015). As expected, the mutational status of was significant in predicting patient outcomes ( = 0.021). The NGS panel also efficiently detected clonal rearrangements in 81% of patients. In conclusion, molecular karyotyping using a targeted NGS panel can identify relevant prognostic chromosomal abnormalities and translocations for the clinical management of MM patients.
下一代测序(NGS)极大地提高了我们检测多发性骨髓瘤(MM)中发生的基因组畸变的能力;然而,其向常规临床实验室的转移及其在临床试验中的验证仍有待确定。我们设计了一种基于捕获的NGS靶向panel,以便在单一检测中识别MM预后分层的已知基因改变。该NGS panel旨在同时研究单核苷酸和拷贝数变异、插入和缺失、染色体易位以及V(D)J重排。使用纳入GEM2012MENOS65临床试验的149例MM患者队列对该panel进行了验证。结果显示出很高的总体准确性,与荧光原位杂交和全外显子测序的现有数据相比,阳性和阴性预测值接近90%。虽然临床试验中使用的治疗显示出高疗效,但被该panel定义为高危的患者无进展生存期较短( = 0.0015)。正如预期的那样, 的突变状态在预测患者预后方面具有显著性( = 0.021)。该NGS panel还在81%的患者中有效检测到克隆性 重排。总之,使用靶向NGS panel进行分子核型分析可以识别MM患者临床管理中相关的预后染色体异常和易位。