Laytragoon Lewin Nongnit, Lewin Freddi, Andersson Bengt-Åke, Löfgren Sture, Rutqvist Lars Erik
Division of Medical Diagnostic, Ryhov Hospital, 55322, Jönköping, Sweden.
Department of Clinical and Experimental Medicine, Linköping University, 58185, Linköping, Sweden.
Med Oncol. 2017 Apr;34(4):63. doi: 10.1007/s12032-017-0912-7. Epub 2017 Mar 18.
Head and neck (H&N) cancer is an aggressive disease and the incidence has increased in younger population worldwide. Tumour TNM staging is the main basis for treatment decision despite significant variation in clinical outcome. Survival time of these patients has marginally improved during the last 30 years. Various biomarkers with cumbersome analysis, high cost, time consumption and requirement of special laboratory facilities have been investigated. However, none of these biomarkers have been shown to be suitable to use for individual H&N cancer patient treatment selection in the clinic. For practical use in clinical settings, the given biomarkers must be simple to analyse, rapid, cost effective and available in routine laboratories. With this intension, we suggested the combination of standard TNM staging and biomarkers associated with inflammation such as neutrophils, neutrophil to lymphocyte ratio, plasma C-reactive protein or plasma tumour necrosis factor alpha (TNFa) and single-nucleotide polymorphism in TNFa rs1800629 using blood-based analysis. The optimal treatment outcome of H&N cancer by using combination of TNM stage and these blood-based biomarkers for individual patient selection need further investigation.
头颈癌是一种侵袭性疾病,在全球年轻人群中的发病率有所上升。尽管临床结果存在显著差异,但肿瘤TNM分期仍是治疗决策的主要依据。在过去30年中,这些患者的生存时间略有改善。人们已经研究了各种生物标志物,这些标志物分析繁琐、成本高、耗时且需要特殊的实验室设施。然而,这些生物标志物均未被证明适用于临床中个体头颈癌患者的治疗选择。为了在临床环境中实际应用,给定的生物标志物必须易于分析、快速、具有成本效益且在常规实验室中可用。出于这个目的,我们建议结合标准TNM分期和与炎症相关的生物标志物,如中性粒细胞、中性粒细胞与淋巴细胞比值、血浆C反应蛋白或血浆肿瘤坏死因子α(TNFα)以及TNFα rs1800629中的单核苷酸多态性,采用基于血液的分析方法。通过结合TNM分期和这些基于血液的生物标志物进行个体患者选择,对头颈癌的最佳治疗效果仍需进一步研究。