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Clinical biomarkers in oncology: focus on colorectal cancer.

机译:肿瘤学中的临床生物标志物:关注结直肠癌。

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Rapidly growing insight into the molecular biology of colorectal cancer has led to high hopes for the identification of molecular markers to be used in optimized and tailored treatment regimens. However, many of the published data on gene-specific biomarkers are contradictory in their findings, and no tests are currently used in clinical practice, with the exception of microsatellite instability (MSI) and guanylyl cyclase C (GCC) testing in the adjuvant setting, and in Europe KRAS mutation testing is used in the setting of epidermal growth factor receptor (EGFR)-targeted therapy for metastatic disease. There are many reasons for the failure of the initial marker hypothesis-driven approach. Although supported by a good biologic rationale, single markers such as tumor protein p53 (TP53) gene mutations, when applied to a complex tumor type containing many synchronous alterations, do not perform well in predicting outcome. Many markers also suffer from technical shortcomings, resulting from the lack of quantitative techniques to capture the impact of the molecular alteration. The impact of markers obtained from microarray expression profiling needs to be further investigated in studies based on much larger cohorts, and cross-validation studies will be essential. Recently, mutations in the KRAS gene were shown to be strong negative predictors of response to EGFR inhibitors in metastatic disease. It has also been suggested that BRAF gene mutations may be predictive of EGFR inhibitor resistance, and there are some conflicting data regarding the role of the PIK3CA gene. Further studies are needed to help integrate the latest findings into clinically useful tools for personalized medicine.
机译:对结直肠癌分子生物学的快速增长的洞察力导致人们希望鉴定出可用于优化和定制治疗方案的分子标记。但是,许多已发表的有关基因特异性生物标志物的数据在其发现中相互矛盾,目前在临床实践中未进行任何测试,但佐剂环境中的微卫星不稳定性(MSI)和鸟苷酸环化酶C(GCC)测试除外,在欧洲,KRAS突变测试用于针对表皮生长因子受体(EGFR)的转移性疾病治疗。初始标记假设驱动方法失败的原因很多。尽管有良好的生物学原理支持,但将单一标记物(例如肿瘤蛋白p53(TP53)基因突变)应用于包含许多同步变化的复杂肿瘤类型时,在预测结局方面效果不佳。由于缺乏定量技术来捕获分子改变的影响,许多标记物也遭受技术缺陷。从基于微阵列表达谱获得的标记物的影响需要在基于更大队列的研究中进一步研究,而交叉验证研究将是必不可少的。最近,KRAS基因突变被证明是转移性疾病中对EGFR抑制剂反应的强阴性预测因子。也有人提出BRAF基因突变可能是对EGFR抑制剂耐药性的预测,关于PIK3CA基因的作用有一些相互矛盾的数据。需要进一步的研究来帮助将最新发现整合到个性化医学的临床有用工具中。

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