首页> 外文期刊>The lancet oncology >Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials.
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Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials.

机译:评估RNA干扰筛选衍生的有丝分裂和神经酰胺途径的基因作为原发性三阴性乳腺癌对新辅助紫杉醇反应的预测因子:对五项临床试验的回顾性分析。

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BACKGROUND: Addition of taxanes to preoperative chemotherapy in breast cancer increases the proportion of patients who have a pathological complete response (pCR). However, a substantial proportion of patients do not respond, and the prognosis is particularly poor for patients with oestrogen-receptor (ER)/progesterone-receptor (PR)/human epidermal growth factor receptor 2 (HER2; ERBB2)-negative (triple-negative) disease who do not achieve a pCR. Reliable identification of such patients is the first step in determining who might benefit from alternative treatment regimens in clinical trials. We previously identified genes involved in mitosis or ceramide metabolism that influenced sensitivity to paclitaxel, with an RNA interference (RNAi) screen in three cancer cell lines, including a triple-negative breast-cancer cell line. Here, we assess these genes as a predictor of pCR to paclitaxel combination chemotherapy in triple-negative breast cancer. METHODS: We derived a paclitaxel response metagene based on mitotic and ceramide genes identified by functional genomics studies. We used area under the curve (AUC) analysis and multivariate logistic regression to retrospectively assess the metagene in six cohorts of patients with triple-negative breast cancer treated with neoadjuvant chemotherapy; two cohorts treated with paclitaxel (n=27, 30) and four treated without paclitaxel (n=88, 28, 48, 39). FINDINGS: The metagene was associated with pCR in paclitaxel-treated cohorts (AUC 0.79 [95% CI 0.53-0.93], 0.72 [0.48-0.90]) but not in non-paclitaxel treated cohorts (0.53 [0.31-0.77], 0.59 [0.22-0.82], 0.53 [0.36-0.71], 0.64 [0.43-0.81]). In multivariate logistic regression, the metagene was associated with pCR (OR 19.92, 2.62-151.57; p=0.0039) with paclitaxel-containing chemotherapy. INTERPRETATION: The paclitaxel response metagene shows promise as a paclitaxel-specific predictor of pCR in patients with triple-negative breast cancer. The metagene is suitable for development into a reverse transcription-PCR assay, for which clinically relevant thresholds could be established in randomised clinical trials. These results highlight the potential for functional genomics to accelerate development of drug-specific predictive biomarkers without the need for training clinical trial cohorts. FUNDING: UK Medical Research Council; Cancer Research UK; the National Institute for Health Research (UK); the Danish Council for Independent Research-Medical Sciences (FSS); Breast Cancer Research Foundation (New York); Fondation Luxembourgeoise contre le Cancer; the Fonds National de la Recherche Scientifique; Brussels Region (IRSIB-IP, Life Sciences 2007) and Walloon Region (Biowin-Keymarker); Sally Pearson Breast Cancer Fund; and the European Commission.
机译:背景:在乳腺癌的术前化疗中添加紫杉烷类药物可增加具有病理完全缓解(pCR)的患者比例。但是,绝大部分患者没有反应,并且雌激素受体(ER)/孕激素受体(PR)/人表皮生长因子受体2(HER2; ERBB2)阴性(三联症)的患者的预后特别差。阴性)未达到pCR的疾病。可靠地鉴定此类患者是确定谁可能从临床试验的替代治疗方案中受益的第一步。我们先前通过三个干扰细胞系(包括三阴性乳腺癌细胞系)中的RNA干扰(RNAi)筛选,确定了影响有丝分裂或神经酰胺代谢的基因,这些基因影响对紫杉醇的敏感性。在这里,我们评估这些基因作为紫杉醇联合化疗在三阴性乳腺癌中pCR的预测因子。方法:我们根据功能基因组学研究确定的有丝分裂和神经酰胺基因,导出了紫杉醇应答基因。我们使用曲线下面积(AUC)分析和多元逻辑回归分析回顾性评估了六组新辅助化疗治疗的三阴性乳腺癌患者的基因表达。两组使用紫杉醇治疗(n = 27,30),四组使用紫杉醇治疗(n = 88,28,48,39)。结果:在紫杉醇治疗的人群中(AUC 0.79 [95%CI 0.53-0.93],0.72 [0.48-0.90]),该基因与pCR相关,但在非紫杉醇治疗的人群中(0.53 [0.31-0.77],0.59 [AUC] 0.22-0.82],0.53 [0.36-0.71],0.64 [0.43-0.81])。在多因素logistic回归中,该基因与含紫杉醇的化疗与pCR相关(OR 19.92,2.62-151.57; p = 0.0039)。解释:紫杉醇应答基因在三阴性乳腺癌患者中有望作为紫杉醇特异性的pCR预测因子。该基因适合于发展为逆转录-PCR检测,可以在随机临床试验中确定与临床相关的阈值。这些结果凸显了功能基因组学有可能加速药物特异性预测生物标记物的开发,而无需培训临床试验队列。资金来源:英国医学研究理事会;英国癌症研究;国家卫生研究所(英国);丹麦独立研究医学委员会(FSS);乳腺癌研究基金会(纽约);卢森堡抗癌基金会;国家科研基金会;布鲁塞尔地区(IRSIB-IP,生命科学2007)和瓦隆地区(Biowin-Keymarker);萨莉·皮尔森乳腺癌基金;和欧洲委员会。

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