Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, Texas.
Clin Cancer Res. 2018 Jan 15;24(2):341-350. doi: 10.1158/1078-0432.CCR-17-1455. Epub 2017 Oct 13.
Although postoperative radiotherapy is often used to maintain local control after surgical resection and chemotherapy for locally advanced non-small cell lung cancer (NSCLC), both locoregional failure and distant metastasis remain problematic. The mechanisms of therapeutic resistance remain poorly understood. We used reverse-phase protein arrays (RPPA) to profile the baseline expression of 170 total and phosphorylated proteins in 70 NSCLC cell lines to categorize pathways that may contribute to radiation resistance. Significant markers identified by RPPA were further analyzed in tissue microarrays (TMA) of specimens from 127 patients with NSCLC who had received surgery before receiving postoperative radiotherapy. Cox regression analysis and log-rank tests were used to identify potential predictive factors. We then validated the biological function of the markers in NSCLC cell lines Of the 170 proteins or phospho-proteins profiled, a subset of 12 proteins was found to correlate with radiation response parameters. TMA analysis of the 12 proteins showing the greatest differences in expression in the RPPA analysis demonstrated that RAD50 had the strongest correlation with distant relapse-free survival, locoregional relapse-free survival, and disease-free survival in patients with NSCLC. We confirmed that knockdown of RAD50 sensitized NSCLC cells to radiation and that upregulation of RAD50 increased radioresistance in experiments. Upregulated RAD50 may be a predictor of radioresistance in patients with lung cancer who received radiotherapy. .
虽然术后放疗常用于局部晚期非小细胞肺癌(NSCLC)手术切除和化疗后的局部控制,但局部区域失败和远处转移仍然是个问题。治疗耐药的机制仍知之甚少。我们使用反相蛋白阵列(RPPA)对 70 个 NSCLC 细胞系中 170 个总蛋白和磷酸化蛋白的基线表达进行了分析,以确定可能有助于辐射抗性的途径。通过 RPPA 鉴定的显著标志物进一步在 127 例接受术后放疗前接受手术的 NSCLC 患者的组织微阵列(TMA)中进行了分析。Cox 回归分析和对数秩检验用于确定潜在的预测因素。然后,我们在 NSCLC 细胞系中验证了标志物的生物学功能。在分析的 170 种蛋白质或磷酸化蛋白质中,有一组 12 种蛋白质与放射反应参数相关。在 RPPA 分析中显示表达差异最大的 12 种蛋白质的 TMA 分析表明,RAD50 与 NSCLC 患者的远处无复发生存、局部区域无复发生存和无病生存相关性最强。我们证实 RAD50 的敲低使 NSCLC 细胞对辐射敏感,而上调 RAD50 增加了实验中的辐射抗性。RAD50 的上调可能是接受放疗的肺癌患者放射抗性的预测因子。