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Proteomics and translational medicine: molecular biomarkers for cancer diagnosis, prognosis and prediction of therapy outcome.

机译:蛋白质组学和转化医学:用于癌症诊断,预后和治疗结果预测的分子生物标志物。

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摘要

Cancer is a leading cause of death worldwide. Cancer biomarkers are the key to positive and long-lasting outcomes; they can reduce the suffering and cost to society associated with the disease. The high burden of malignancy worldwide underscores the unmet potential of biomarkers for cancer diagnosis, prognosis and prediction of treatment response. There is a pressing need for novel strategies to discover cancer biomarkers and translate molecular diagnostics from the bench to the bedside [1,2].Recent technological advances in bio-medical research have made it easier to identify many molecular biomarkers that may potentially improve cancer screening and detection, advance the drug development process, and enhance the effectiveness and safety of cancer care by allowing physicians to tailor treatment for individual patients [3]. Proteomics is a promising technology for the identification of biomarkers and novel therapeutic targets for cancers. Rapid progress in oncoproteomics has opened new avenues for tumor-associated biomarker discovery [4].
机译:癌症是全球主要的死亡原因。癌症生物标志物是取得积极和持久结果的关键。它们可以减少与疾病相关的痛苦并降低社会成本。世界范围内恶性肿瘤的高负担强调了生物标志物在癌症诊断,预后和治疗反应预测方面的潜力尚未得到满足。迫切需要新颖的策略来发现癌症生物标志物并将分子诊断方法从实验台转移到病床边[1,2]。生物医学研究的最新技术进展已使人们更容易地鉴定出许多可能改善癌症的分子生物标志物。通过允许医生为个别患者量身定制治疗方案,进行筛查和检测,推进药物开发过程并增强癌症治疗的有效性和安全性[3]。蛋白质组学是用于鉴定生物标志物和癌症新治疗靶标的有前途的技术。人体肿瘤学的快速发展为肿瘤相关生物标志物的发现开辟了新途径[4]。

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