Spaeth-Cook Douglas, Burch Mark, Belton Robin, Demoret Bryce, Grosenbacher Nicholas, David Jason, Stets Colin, Cohen David, Shakya Reena, Hays John L, Chen James L
Department of Biomedical Informatics, Division of Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
Department of Biostatistics, The Ohio State University, Columbus, OH 43210, USA.
Oncotarget. 2018 Nov 2;9(86):35676-35686. doi: 10.18632/oncotarget.26281.
Peritoneal metastasis (PM) is a debilitating consequence of multiple cancers. As cancer cells lose tonic signaling related to attachment dependence, critical morphologic shifts result in alteration of the transcriptome. Identifying key genes associated with this transformation may lead to targeted therapies for this devastating complication. TC71, CHLA9, PANC1, YOU and HEYA8 cell lines were grown as tumor spheroids in polyHEMA coated plates. Temporal profiling of transcriptomic alterations over 72 hrs was used to develop a comprehensive PM model. We identified transcriptomic outliers using Gaussian mixtures model clustering to identify drivers of spheroid formation. Outliers were validated in The Cancer Genome Atlas (TCGA) and an ovarian tissue microarray (TMA) and by modulation in ovarian cancer models and in peritoneal xenograft models. Outlier analysis of PM genes identified the gene TXNIP and the TORC signaling as central to PM. Ovarian cancer spheroids isolated from patient ascites had significantly higher TXNIP than their attached counterparts ( = 0.047). TXNIP levels predicted progression-free (log-rank = 0.026) survival in stage 1/2 ovarian cancer and overall survival (log rank = 0.047) in stage 3/4 ovarian cancer. , TXNIP silencing was associated with increased mTOR signaling and enhanced spheroid development which could be overcome by TAK228, a TORC1/2 inhibitor. Similarly, peritoneal xenograft models of carcinomatosis were prevented by TAK228. PM is driven by TXNIP-associated TORC1/2 signaling. This work provides the first evidence that TORC1/2 inhibition may prevent PM.
腹膜转移(PM)是多种癌症的一种严重后果。随着癌细胞失去与附着依赖性相关的张力信号,关键的形态学转变会导致转录组的改变。识别与这种转变相关的关键基因可能会带来针对这种毁灭性并发症的靶向治疗。TC71、CHLA9、PANC1、YOU和HEYA8细胞系在涂有聚甲基丙烯酸羟乙酯(polyHEMA)的培养板中培养成肿瘤球体。利用72小时内转录组改变的时间谱来建立一个全面的PM模型。我们使用高斯混合模型聚类来识别转录组异常值,以确定球体形成的驱动因素。异常值在癌症基因组图谱(TCGA)和卵巢组织微阵列(TMA)中得到验证,并通过在卵巢癌模型和腹膜异种移植模型中的调节得到验证。对PM基因的异常值分析确定基因硫氧还蛋白相互作用蛋白(TXNIP)和TORC信号传导是PM的核心。从患者腹水中分离出的卵巢癌球体的TXNIP水平明显高于其附着的对应物(P = 0.047)。TXNIP水平可预测1/2期卵巢癌的无进展生存期(对数秩检验P = 0.026)和3/4期卵巢癌的总生存期(对数秩检验P = 0.047)。此外,TXNIP沉默与mTOR信号传导增加和球体发育增强有关,而TORC1/2抑制剂TAK228可以克服这种情况。同样,TAK可以预防癌性腹膜炎的腹膜异种移植模型。PM由与TXNIP相关的TORC1/2信号传导驱动。这项工作首次证明TORC1/2抑制可能预防PM。