Iqbal Javeed, Wilcox Ryan, Naushad Hina, Rohr Joseph, Heavican Tayla B, Wang Chao, Bouska Alyssa, Fu Kai, Chan Wing C, Vose Julie M
Department of Pathology and Microbiology, Center for Lymphoma and Leukemia Research, University of Nebraska Medical Center, Omaha, NE, USA.
Department of Internal Medicine, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA.
Blood Rev. 2016 Mar;30(2):89-100. doi: 10.1016/j.blre.2015.08.003. Epub 2015 Aug 18.
The novel genetic information gained from genome-wide high throughput techniques has greatly improved our understanding of peripheral T-cell lymphoma (PTCL). PTCL consists of numerous distinct entities and is currently diagnosed using a combination of clinical and morphologic features and immunophenotyping together with limited molecular assays leading to an often fragmented, complicated diagnostic system. The diagnosis of many cases is challenging even for expert hematopathologists and more than a third of the cases cannot be further classified and thus put into the PTCL-NOS category. Gene expression profiling (GEP) has significantly improved the molecular classification of PTCLs and identified robust molecular signatures for common nodal subtypes of PTCL including angioimmunoblastic T-cell lymphoma (AITL), anaplastic T-cell lymphoma (ALCL), adult T-cell leukemia/lymphoma (ATLL) and extra-nodal NK/T cell lymphoma (ENKTL). These studies also led to identification of novel molecular subtypes with distinct prognosis, that otherwise could not be identified by conventional methods. Integration of massive sequencing strategies and gene expression has characterized driver genetic alterations in common subtypes like AITL, ALCL, ENKTL and other PTCLs. These studies have identified oncogenic pathways and genes affected in specific disease subtypes that can be potentially targeted by specific therapies. Novel treatment options with FDA approved drugs directed towards mutant IDH2, the NF-κB, JAK/STAT, or mTOR pathways illustrate the usefulness of genome-wide techniques to identify targets for therapy. In this review, we highlight recent advances in the molecular diagnosis and prognosis of PTCL using these genome-wide techniques.
从全基因组高通量技术中获得的新遗传信息极大地增进了我们对外周T细胞淋巴瘤(PTCL)的理解。PTCL由众多不同实体组成,目前通过结合临床和形态学特征、免疫表型分析以及有限的分子检测方法进行诊断,这导致了一个常常支离破碎、复杂的诊断系统。即使对于专业血液病理学家来说,许多病例的诊断也具有挑战性,超过三分之一的病例无法进一步分类,因此被归入PTCL-NOS类别。基因表达谱分析(GEP)显著改善了PTCL的分子分类,并为PTCL的常见淋巴结亚型确定了可靠的分子特征,包括血管免疫母细胞性T细胞淋巴瘤(AITL)、间变性T细胞淋巴瘤(ALCL)、成人T细胞白血病/淋巴瘤(ATLL)和结外NK/T细胞淋巴瘤(ENKTL)。这些研究还导致了具有不同预后的新分子亚型的鉴定,而这些亚型用传统方法无法鉴定。大规模测序策略与基因表达的整合已明确了AITL、ALCL、ENKTL和其他PTCL等常见亚型中的驱动基因改变。这些研究确定了特定疾病亚型中受影响的致癌途径和基因,这些途径和基因可能成为特定疗法的靶点。针对突变型IDH2、NF-κB、JAK/STAT或mTOR途径的FDA批准药物的新型治疗方案说明了全基因组技术在确定治疗靶点方面的有用性。在本综述中,我们重点介绍使用这些全基因组技术在PTCL分子诊断和预后方面的最新进展。