Razzouk S
Department of Periodontology and Implant Dentistry, New York University College of Dentistry, New York City, NY; Private practice, Beirut, Lebanon.
Clin Genet. 2014 Nov;86(5):412-21. doi: 10.1111/cge.12487. Epub 2014 Sep 25.
Head and neck squamous cell carcinoma (HNSCC) comprise a wide spectrum of neoplasms with different tumor biologies, prognosis and response to therapies. Current tumor classification and traditional diagnostic methods (e.g. clinical assessment, histopathology) are limited in their capacity to determine prognosis and clinical decision-making. Despite recent improvements in treatment, the outcome for patients with HNSCC remains poor. Similar to most tumors, several patient-related factors, (e.g. genetics and environment) and disease-related factors (e.g. tumor location, TMN staging) play a significant role on survival. Thus, the problem in defining the prognosis is that the clinical course and response to treatment differ considerably among patients. Such interindividual variability is related to the heterogeneity of the tumor, genetic and epigenetic variations, thus reflecting the interaction of multiple biological components that result in a unique phenotype. Integrative genomics are developed to identify the molecular pathways leading to cancer at the individual level and find novel prognostic markers for HNSCC, hence tailoring a treatment accordingly. Such genetic-based personalized diagnosis allows tumor stratification and implementation of targeted therapy. Modern medicine includes new drugs that disrupt the implicated molecules and their signaling pathways. Here, we summarize the current state of knowledge that elucidates the translation of genetic data into clinical benefit.
头颈部鳞状细胞癌(HNSCC)包括一系列具有不同肿瘤生物学特性、预后及对治疗反应的肿瘤。当前的肿瘤分类及传统诊断方法(如临床评估、组织病理学)在确定预后及临床决策方面能力有限。尽管近期治疗有所改善,但HNSCC患者的预后仍然很差。与大多数肿瘤相似,一些患者相关因素(如遗传和环境)以及疾病相关因素(如肿瘤位置、TMN分期)对生存起着重要作用。因此,确定预后的问题在于患者之间的临床病程和对治疗的反应差异很大。这种个体间的变异性与肿瘤的异质性、遗传和表观遗传变异有关,从而反映了多种生物成分相互作用导致独特表型。整合基因组学旨在在个体水平上识别导致癌症的分子途径,并为HNSCC找到新的预后标志物,从而相应地制定治疗方案。这种基于基因的个性化诊断能够实现肿瘤分层并实施靶向治疗。现代医学包括可干扰相关分子及其信号通路的新药。在此,我们总结了当前将遗传数据转化为临床益处的知识现状。