Horton Janet K, Siamakpour-Reihani Sharareh, Lee Chen-Ting, Zhou Ying, Chen Wei, Geradts Joseph, Fels Diane R, Hoang Peter, Ashcraft Kathleen A, Groth Jeff, Kung Hsiu-Ni, Dewhirst Mark W, Chi Jen-Tsan A
a Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
b Department of Bioinformatics at Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Radiat Res. 2015 Nov;184(5):456-69. doi: 10.1667/RR14089.1. Epub 2015 Oct 21.
Although a standardized approach to radiotherapy has been used to treat breast cancer, regardless of subtype (e.g., luminal, basal), recent clinical data suggest that radiation response may vary significantly among subtypes. We hypothesized that this clinical variability may be due, in part, to differences in cellular radiation response. In this study, we utilized RNA samples for microarray analysis from two sources: 1. Paired pre- and postirradiation breast tumor tissue from 32 early-stage breast cancer patients treated in our unique preoperative radiation Phase I trial; and 2. Sixteen biologically diverse breast tumor cell lines exposed to 0 and 5 Gy irradiation. The transcriptome response to radiation exposure was derived by comparing gene expression in samples before and after irradiation. Genes with the highest coefficient of variation were selected for further evaluation and validated at the RNA and protein level. Gene editing and agonistic antibody treatment were performed to assess the impact of gene modulation on radiation response. Gene expression in our cohort of luminal breast cancer patients was distinctly different before and after irradiation. Further, two distinct patterns of gene expression were observed in our biologically diverse group of breast cancer cell lines pre- versus postirradiation. Cell lines that showed significant change after irradiation were largely luminal subtype, while gene expression in the basal and HER2+ cell lines was minimally impacted. The 100 genes with the most significant response to radiation in patients were identified and analyzed for differential patterns of expression in the radiation-responsive versus nonresponsive cell lines. Fourteen genes were identified as significant, including FAS, a member of the tumor necrosis factor receptor family known to play a critical role in programed cell death. Modulation of FAS in breast cancer cell lines altered radiation response phenotype and enhanced radiation sensitivity in radioresistant basal cell lines. Our findings suggest that cell-type-specific, radiation-induced FAS contributes to subtype-specific breast cancer radiation response and that activation of FAS pathways may be exploited for biologically tailored radiotherapy.
尽管已采用标准化放疗方法治疗乳腺癌,而不论其亚型(例如,管腔型、基底型)如何,但最近的临床数据表明,不同亚型之间的放射反应可能存在显著差异。我们推测,这种临床变异性可能部分归因于细胞放射反应的差异。在本研究中,我们使用了来自两个来源的RNA样本进行微阵列分析:1. 来自我们独特的术前放疗I期试验中治疗的32例早期乳腺癌患者的配对放疗前和放疗后乳腺肿瘤组织;2. 16种生物学特性各异的乳腺肿瘤细胞系,分别接受0和5 Gy照射。通过比较照射前后样本中的基因表达,得出转录组对辐射暴露的反应。选择变异系数最高的基因进行进一步评估,并在RNA和蛋白质水平进行验证。进行基因编辑和激动性抗体治疗,以评估基因调节对放射反应的影响。我们队列中的管腔型乳腺癌患者在放疗前后的基因表达明显不同。此外,在我们生物学特性各异的乳腺癌细胞系组中,放疗前和放疗后观察到两种不同的基因表达模式。放疗后显示出显著变化的细胞系主要是管腔型亚型,而基底型和HER2+细胞系中的基因表达受到的影响最小。确定了患者中对辐射反应最显著的100个基因,并分析了它们在辐射反应性细胞系与无反应性细胞系中的差异表达模式。确定了14个显著基因,包括FAS,它是肿瘤坏死因子受体家族的成员,已知在程序性细胞死亡中起关键作用。乳腺癌细胞系中FAS的调节改变了放射反应表型,并增强了放射抗性基底细胞系的放射敏感性。我们的研究结果表明,细胞类型特异性的、辐射诱导的FAS有助于亚型特异性的乳腺癌放射反应,并且FAS途径的激活可用于生物定制放疗。