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Molecular determinants of response to cisplatin-based neoadjuvant chemotherapy

机译:对基于顺铂的新辅助化疗反应的分子决定因素

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PURPOSE OF REVIEW: Neoadjuvant chemotherapy followed by cystectomy improves survival compared with surgery alone. To prevent overtreatment is of outmost importance to define molecular predictors of response for patient selection. We present the currently available data outlining a variety of potential markers to aid for a personalized decision-making process. RECENT FINDINGS: Apart from p53, other markers of cell cycle regulation and apoptosis such as p21WAF1/CIP1 (p21) gene, Bcl-2, mouse double minute-2 and pRB have also been related to survival. The clinical relevance of epidermal growth factor receptor and HER2 expression has also been investigated with no success. Regarding Ki67, overexpressing tumors may potentially benefit from neoadjuvant therapy and conversely overexpression of vascular endothelial growth factor and bFGF have been linked to resistance to cisplatin-induced apoptosis. The role of multidrug resistance gene 1 and excision repair cross-complementing rodent repair deficiency complementation group 1 supports that enhanced DNA repair in the tumor decreases the benefit of platinum-based treatment. A 20-gene expression model has shown to predict lymph node involvement, helping on decision-making. A gene expression profiling has been proposed as predictive for response to neoadjuvant chemotherapy. SUMMARY: Predictive markers will eventually aid in the selection of patients that most likely benefit from preoperative treatment. In the coming years, a panel of markers will become available to achieve the predicted goal.
机译:审查的目的:与单纯手术相比,新辅助化疗加膀胱切除术可以提高生存率。为了防止过度治疗,最重要的是为患者选择定义反应的分子预测因子。我们提出了当前可用的数据,概述了各种潜在的标记,以帮助进行个性化的决策过程。最近的发现:除p53以外,其他细胞周期调控和凋亡的标志物,例如p21WAF1 / CIP1(p21)基因,Bcl-2,小鼠doubleminute-2和pRB也与存活有关。表皮生长因子受体和HER2表达的临床相关性也没有得到成功的研究。关于Ki67,过度表达的肿瘤可能会受益于新辅助疗法,相反,血管内皮生长因子和bFGF的过度表达与对顺铂诱导的细胞凋亡的抵抗有关。多药抗性基因1和切除修复交叉互补的啮齿动物修复缺陷互补组1的作用支持增强肿瘤中的DNA修复降低了铂基治疗的益处。已经显示出20种基因的表达模型可以预测淋巴结受累,有助于做出决策。已经提出了基因表达谱作为对新辅助化疗反应的预测。摘要:预测性标志物最终将有助于选择最有可能从术前治疗中受益的患者。在未来几年中,将有一组标记物用于实现预期目标。

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