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Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer

机译:基因芯片分析可识别癌症死亡特征从而预测多种癌症患者的治疗失败

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摘要

Activation in transformed cells of normal stem cells’ self-renewal pathways might contribute to the survival life cycle of cancer stem cells and promote tumor progression. The BMI-1 oncogene–driven gene expression pathway is essential for the self-renewal of hematopoietic and neural stem cells. We applied a mouse/human comparative translational genomics approach to identify an 11-gene signature that consistently displays a stem cell–resembling expression profile in distant metastatic lesions as revealed by the analysis of metastases and primary tumors from a transgenic mouse model of prostate cancer and cancer patients. To further validate these results, we examined the prognostic power of the 11-gene signature in several independent therapy-outcome sets of clinical samples obtained from 1,153 cancer patients diagnosed with 11 different types of cancer, including 5 epithelial malignancies (prostate, breast, lung, ovarian, and bladder cancers) and 5 nonepithelial malignancies (lymphoma, mesothelioma, medulloblastoma, glioma, and acute myeloid leukemia). Kaplan-Meier analysis demonstrated that a stem cell–like expression profile of the 11-gene signature in primary tumors is a consistent powerful predictor of a short interval to disease recurrence, distant metastasis, and death after therapy in cancer patients diagnosed with 11 distinct types of cancer. These data suggest the presence of a conserved BMI-1–driven pathway, which is similarly engaged in both normal stem cells and a highly malignant subset of human cancers diagnosed in a wide range of organs and uniformly exhibiting a marked propensity toward metastatic dissemination as well as a high probability of unfavorable therapy outcome.
机译:正常干细胞自我更新途径在转化细胞中的激活可能有助于癌症干细胞的生存生命周期并促进肿瘤进展。 BMI-1癌基因驱动的基因表达途径对于造血干细胞和神经干细胞的自我更新至关重要。我们应用了小鼠/人类比较翻译基因组学方法,鉴定了11个基因的签名,该签名在远处的转移性病变中始终显示出类似于干细胞的表达谱,这一点已通过对前列腺癌和癌症患者。为了进一步验证这些结果,我们在从1153名被诊断患有11种不同类型癌症(包括5种上皮性恶性肿瘤(前列腺癌,乳腺癌,肺癌)的癌症患者中获得的独立治疗结果的临床样本中,检查了11个基因信号的预后能力,卵巢癌和膀胱癌)和5种非上皮性恶性肿瘤(淋巴瘤,间皮瘤,髓母细胞瘤,神经胶质瘤和急性髓细胞性白血病)。 Kaplan-Meier分析表明,原发性肿瘤中11基因标记的干细胞样表达谱是诊断患有11种不同类型癌症的患者治疗后疾病复发,远处转移和死亡间隔短的一致有效预测指标癌症。这些数据表明存在保守的BMI-1驱动的途径,该途径与正常干细胞和在广泛器官中诊断出的人类癌症的高度恶性亚组类似,并且均表现出明显的转移扩散倾向。极有可能导致不良的治疗结果。

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