Predictive and prognostic molecular markers for cancer medicine.
Predictive and prognostic molecular markers for cancer medicine.
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DOI：
10.1177/1758834009360519
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发表时间：
2010-03-01
影响因子：
4.9
通讯作者：
Print, Cristin
中科院分区：
文献类型：
--
作者：
Mehta, Sunali;Shelling, Andrew;Print, Cristin
在过去的10年里，关于癌症分子生物学的信息呈爆炸式增长。肿瘤学中的一个挑战是将这些信息转化为患者护理方面的进步。虽然已经有了将新的分子信息转化为药物治疗的良好途径，但将新信息转化为敏感和特异的诊断、预后和预测试验的途径仍在开发中。同样，使用肿瘤分子图谱来选择临床试验参与者或优化个别患者的治疗仍处于初级阶段。本文将对目前癌症医学中预测治疗反应和预后的技术进行综述，并勾勒出未来的发展方向。它还将强调能够将分子、组织病理学和临床信息整合到对肿瘤进展的协同理解中的方法的潜在重要性。虽然这些可能性无疑是令人兴奋的，但如果我们要以广泛可用和具有成本效益的方式以强有力的证据基础来实施这些可能性，仍然存在重大挑战。
Over the last 10 years there has been an explosion of information about the molecular biology of cancer. A challenge in oncology is to translate this information into advances in patient care. While there are well-formed routes for translating new molecular information into drug therapy, the routes for translating new information into sensitive and specific diagnostic, prognostic and predictive tests are still being developed. Similarly, the science of using tumor molecular profiles to select clinical trial participants or to optimize therapy for individual patients is still in its infancy. This review will summarize the current technologies for predicting treatment response and prognosis in cancer medicine, and outline what the future may hold. It will also highlight the potential importance of methods that can integrate molecular, histopathological and clinical information into a synergistic understanding of tumor progression. While these possibilities are without doubt exciting, significant challenges remain if we are to implement them with a strong evidence base in a widely available and cost-effective manner.