Munshi Nikhil C
Boston VA Healthcare System, Boston, MA 02115, USA.
Hematology Am Soc Hematol Educ Program. 2008:298-305. doi: 10.1182/asheducation-2008.1.298.
Recent advances in genomics and proteomics have advanced our understanding of myeloma pathogenesis, recognized novel mediators of disease process, and identified new therapeutic targets. These developments have provided newer diagnostic tools for myeloma, improved monitoring of the disease status and allowed for molecular classification of the disease. The recent advances in investigative techniques that have helped refine the diagnostic work up in myeloma includes use of serum free light chains, especially in oligosecretory myeloma, patients with renal disease and with amyloidosis; use of MRI and PET scan in diagnosis and managing bone disease; and use of cytogenetics and fluorescent in situ hybridization (FISH) technique to determine prognosis. Newer risk stratification protocols have included international staging systems as well as FISH-detected chromosomal changes, specifically t(4;14), t(14;16), and del 17p. These improved predictive risk stratification models are guiding treatment algorithms. As the novel therapies are able to attain complete responses in a significant number of patients, the response categories are also being redefined. Immunophenotypic identification of clonal plasma cells, inclusion of free light chain response and molecular markers of disease now allow us to define stringent complete responses. Recent studies show the increasing importance of attaining complete remission to extended overall survival. The ongoing oncogenomic studies including high-throughput expression profiling, high-density single nucleotide polymorphism (SNP)-arrays and array based comparative hybridization (aCGH) have been utilized to not only understand myeloma pathobiology, but for gene discovery, identification of biomarkers, and delineation of patient subgroups to incorporate them into therapeutic strategies and to eventually provide optimal individualized therapy.
基因组学和蛋白质组学的最新进展加深了我们对骨髓瘤发病机制的理解,识别出了疾病进程中的新型介质,并确定了新的治疗靶点。这些进展为骨髓瘤提供了更新的诊断工具,改善了对疾病状态的监测,并实现了疾病的分子分类。有助于完善骨髓瘤诊断检查的调查技术的最新进展包括使用血清游离轻链,特别是在寡分泌性骨髓瘤、肾病患者和淀粉样变性患者中;在诊断和管理骨病中使用MRI和PET扫描;以及使用细胞遗传学和荧光原位杂交(FISH)技术来确定预后。更新的风险分层方案包括国际分期系统以及FISH检测到的染色体变化,特别是t(4;14)、t(14;16)和del 17p。这些改进的预测风险分层模型正在指导治疗算法。由于新型疗法能够使大量患者获得完全缓解,反应类别也在重新定义。克隆性浆细胞的免疫表型鉴定、游离轻链反应的纳入以及疾病的分子标志物现在使我们能够定义严格的完全缓解。最近的研究表明,实现完全缓解对延长总生存期的重要性日益增加。正在进行的肿瘤基因组学研究,包括高通量表达谱分析、高密度单核苷酸多态性(SNP)阵列和基于阵列的比较基因组杂交(aCGH),不仅用于理解骨髓瘤的病理生物学,还用于基因发现、生物标志物的识别以及患者亚组的划分,以便将它们纳入治疗策略并最终提供最佳的个体化治疗。