Hofman Paul, Badoual Cécile, Henderson Fiona, Berland Léa, Hamila Marame, Long-Mira Elodie, Lassalle Sandra, Roussel Hélène, Hofman Véronique, Tartour Eric, Ilié Marius
Laboratory of Clinical and Experimental Pathology, Hospital-Integrated Biobank (BB-0033-00025), Nice Hospital University, FHU OncoAge, Université Côte d'Azur, Nice 06000, France.
Team 4, Institute for Research on Cancer and Aging, Nice (IRCAN), INSERM U1081/UMR CNRS 7284, FHU OncoAge, Université Côte d'Azur, Nice 06107, France.
Cancers (Basel). 2019 Feb 27;11(3):283. doi: 10.3390/cancers11030283.
As targeted molecular therapies and immuno-oncology have become pivotal in the management of patients with lung cancer, the essential requirement for high throughput analyses and clinical validation of biomarkers has become even more intense, with response rates maintained in the 20%⁻30% range. Moreover, the list of treatment alternatives, including combination therapies, is rapidly evolving. The molecular profiling and specific tumor-associated immune contexture may be predictive of response or resistance to these therapeutic strategies. Multiplexed immunohistochemistry is an effective and proficient approach to simultaneously identify specific proteins or molecular abnormalities, to determine the spatial distribution and activation state of immune cells, as well as the presence of immunoactive molecular expression. This method is highly advantageous for investigating immune evasion mechanisms and discovering potential biomarkers to assess mechanisms of action and to predict response to a given treatment. This review provides views on the current technological status and evidence for clinical applications of multiplexing and how it could be applied to optimize clinical management of patients with lung cancer.
随着靶向分子疗法和免疫肿瘤学在肺癌患者管理中变得至关重要,对生物标志物进行高通量分析和临床验证的基本要求变得更加迫切,缓解率维持在20%至30%的范围内。此外,包括联合疗法在内的治疗选择列表正在迅速演变。分子谱分析和特定的肿瘤相关免疫背景可能预测对这些治疗策略的反应或耐药性。多重免疫组化是一种有效且熟练的方法,可同时识别特定蛋白质或分子异常,确定免疫细胞的空间分布和激活状态,以及免疫活性分子表达的存在。该方法对于研究免疫逃逸机制和发现潜在生物标志物以评估作用机制和预测对给定治疗的反应具有高度优势。本综述提供了关于多重检测的当前技术状态和临床应用证据的观点,以及它如何应用于优化肺癌患者的临床管理。