Lou Yanyan, Diao Lixia, Cuentas Edwin Roger Parra, Denning Warren L, Chen Limo, Fan You Hong, Byers Lauren A, Wang Jing, Papadimitrakopoulou Vassiliki A, Behrens Carmen, Rodriguez Jaime Canales, Hwu Patrick, Wistuba Ignacio I, Heymach John V, Gibbons Don L
Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Clin Cancer Res. 2016 Jul 15;22(14):3630-42. doi: 10.1158/1078-0432.CCR-15-1434. Epub 2016 Feb 5.
Promising results in the treatment of non-small cell lung cancer (NSCLC) have been seen with agents targeting immune checkpoints, such as programmed cell death 1 (PD-1) or programmed death ligand-1 (PD-L1). However, only a select group of patients respond to these interventions. The identification of biomarkers that predict clinical benefit to immune checkpoint blockade is critical to successful clinical translation of these agents.
We conducted an integrated analysis of three independent large datasets, including The Cancer Genome Atlas of lung adenocarcinoma and two datasets from MD Anderson Cancer Center (Houston, TX), Profiling of Resistance Patterns and Oncogenic Signaling Pathways in Evaluation of Cancers of the Thorax (named PROSPECT) and Biomarker-Integrated Approaches of Targeted Therapy for Lung Cancer Elimination (named BATTLE-1). Comprehensive analysis of mRNA gene expression, reverse-phase protein array, IHC, and correlation with clinical data were performed.
Epithelial-mesenchymal transition (EMT) is highly associated with an inflammatory tumor microenvironment in lung adenocarcinoma, independent of tumor mutational burden. We found immune activation coexistent with elevation of multiple targetable immune checkpoint molecules, including PD-L1, PD-L2, PD-1, TIM-3, B7-H3, BTLA, and CTLA-4, along with increases in tumor infiltration by CD4(+)Foxp3(+) regulatory T cells in lung adenocarcinomas that displayed an EMT phenotype. Furthermore, we identify B7-H3 as a prognostic marker for NSCLC.
The strong association between EMT status and an inflammatory tumor microenvironment with elevation of multiple targetable immune checkpoint molecules warrants further investigation of using EMT as a predictive biomarker for immune checkpoint blockade agents and other immunotherapies in NSCLC and possibly a broad range of other cancers. Clin Cancer Res; 22(14); 3630-42. ©2016 AACRSee related commentary by Datar and Schalper, p. 3422.
靶向免疫检查点的药物,如程序性细胞死亡蛋白1(PD-1)或程序性死亡配体1(PD-L1),在非小细胞肺癌(NSCLC)治疗中取得了有前景的结果。然而,只有一小部分患者对这些干预措施有反应。识别预测免疫检查点阻断临床获益的生物标志物对于这些药物的成功临床转化至关重要。
我们对三个独立的大型数据集进行了综合分析,包括肺腺癌的癌症基因组图谱以及来自MD安德森癌症中心(德克萨斯州休斯顿)的两个数据集,胸部癌症评估中的耐药模式和致癌信号通路分析(称为PROSPECT)以及肺癌消除靶向治疗的生物标志物整合方法(称为BATTLE-1)。对mRNA基因表达、反相蛋白质阵列、免疫组化以及与临床数据的相关性进行了全面分析。
上皮-间质转化(EMT)与肺腺癌中炎性肿瘤微环境高度相关,与肿瘤突变负荷无关。我们发现,在表现出EMT表型的肺腺癌中,免疫激活与多种可靶向免疫检查点分子的升高同时存在,包括PD-L1、PD-L2、PD-1、TIM-3、B7-H3、BTLA和CTLA-4,同时CD4(+)Foxp3(+)调节性T细胞的肿瘤浸润增加。此外,我们将B7-H3鉴定为NSCLC的预后标志物。
EMT状态与炎性肿瘤微环境以及多种可靶向免疫检查点分子升高之间的强关联,值得进一步研究将EMT用作NSCLC以及可能广泛的其他癌症中免疫检查点阻断剂和其他免疫疗法的预测生物标志物。《临床癌症研究》;22(14);3630 - 42页。©2016美国癌症研究协会。见Datar和Schalper的相关评论,第3422页。