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晚期结直肠癌的预后和预测分子标志物。

Prognostic and predictive molecular biomarkers in advanced colorectal cancer.

机构信息

Medical Oncology Unit 1, Ospedale Policlinico San Martino - IRCCS, Largo Rosanna Benzi 10, 16132 Genoa, Italy.

Medical Oncology Unit 1, Ospedale Policlinico San Martino - IRCCS, Largo Rosanna Benzi 10, 16132 Genoa, Italy.

出版信息

Pharmacol Ther. 2022 Aug;236:108239. doi: 10.1016/j.pharmthera.2022.108239. Epub 2022 Jun 30.

Abstract

The revolution of precision medicine has produced unprecedented seismic shifts in the treatment paradigm of advanced cancers. Among the major killers, colorectal cancer (CRC) is far behind the others. In fact, the great successes obtained in breast, NSCLC, melanoma, and genitourinary tract tumors have been observed only in fewer than 5 % metastatic colorectal cancer (mCRC): those with the mismatch repair deficiency (dMMR), a well-known predictive factor for to the outstanding efficacy of checkpoint inhibitors (CPI). The treatment of the remaining vast majority mCRC patients is still based upon only two molecular determinants: the RAS and BRAF mutational status. New promising biomarkers include HER2, tumor mutational burden (TMB) for its possible implications on CPI efficacy, and the extremely rare NTRK fusions. The Consensus Molecular Subtypes classification (CMS) is a good example of the efforts to combine different molecular features of this disease, although its relevance in clinical practice is still under investigation. In this Review, we focus on all these prognostic and predictive biomarkers, analyzing data from the most important clinical trials of the last years. We also try to rank them according to their prognostic and predictive power.

摘要

精准医学的革命在先进癌症的治疗模式上产生了前所未有的重大转变。在主要的杀手当中,结直肠癌(CRC)远远落后于其他癌症。事实上,在乳腺癌、非小细胞肺癌、黑色素瘤和泌尿生殖道肿瘤中取得的巨大成功,仅在不到 5%的转移性结直肠癌(mCRC)患者中观察到:这些患者存在错配修复缺陷(dMMR),这是预测检查点抑制剂(CPI)疗效的一个显著因素。对于其余绝大多数 mCRC 患者的治疗仍然仅基于两个分子决定因素:RAS 和 BRAF 突变状态。新的有前途的生物标志物包括 HER2、肿瘤突变负担(TMB),因为其可能对 CPI 疗效有影响,以及极其罕见的 NTRK 融合。共识分子亚型分类(CMS)是将该疾病的不同分子特征结合起来的一个很好的例子,尽管其在临床实践中的相关性仍在研究中。在这篇综述中,我们重点关注所有这些预后和预测生物标志物,分析来自过去几年最重要的临床试验的数据。我们还尝试根据它们的预后和预测能力对它们进行排序。

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