Queensland University of Technology, Centre for Genomics and Personalised Health, Cancer and Ageing Research Program, School of Biomedical Sciences, Faculty of Health, Woolloongabba, QLD, Australia; Translational Research Institute, Woolloongabba, QLD, Australia.
School of Medicine, Golestan University of Medical Sciences, Golestan, Iran.
Lung Cancer. 2021 Sep;159:34-41. doi: 10.1016/j.lungcan.2021.06.022. Epub 2021 Jul 19.
Non-small cell lung cancer (NSCLC) is one of the most common cancers globally and has a 5-year survival rate ~20%. Immunotherapies have demonstrated long-term and durable responses in NSCLC patients, although they appear to be effective in only a subset of patients. A more comprehensive understanding of the underlying tumour biology may contribute to identifying those patients likely to achieve optimal outcomes. Profiling the tumour microenvironment (TME) has shown to be beneficial in addressing fundamental tumour-immune cell interactions. Advances in multiplexing immunohistochemistry and molecular barcoding has led to recent advances in profiling genes and proteins in NSCLC. Here, we review the recent advancements in spatial profiling technologies for the analysis of NSCLC tissue samples to gain new insights and therapeutic options for NSCLC. The combination of spatial transcriptomics combined with advanced imaging is likely to lead to deep insights into NSCLC tissue biology, which can be a powerful tool to predict likelihood of response to therapy.
非小细胞肺癌(NSCLC)是全球最常见的癌症之一,其 5 年生存率约为 20%。免疫疗法在 NSCLC 患者中显示出了长期和持久的反应,尽管它们似乎只对一部分患者有效。更全面地了解肿瘤的生物学基础可能有助于确定那些可能获得最佳治疗效果的患者。对肿瘤微环境(TME)的分析已经显示出在解决基本的肿瘤免疫细胞相互作用方面是有益的。多重免疫组化和分子条形码技术的进步推动了 NSCLC 中基因和蛋白质分析的最新进展。在这里,我们回顾了用于分析 NSCLC 组织样本的空间分析技术的最新进展,以获得 NSCLC 的新见解和治疗选择。空间转录组学与先进成像技术的结合,可能会深入了解 NSCLC 组织生物学,这可能是预测对治疗反应可能性的有力工具。