胆道癌的靶向治疗--当精确变得不精确时

C.J. O’Rourke , J.V. Schou , J.B. Andersen , D. Høgdall
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摘要

在胃肠道肿瘤中,晚期胆道癌(BTC)因其相对较高的可操作性改变发生率和与这些改变相匹配的靶向疗法而声名鹊起。针对成纤维细胞生长因子受体(FGFR)抑制剂和突变型异柠檬酸脱氢酶1抑制剂获批用于治疗FGFR2重排的肿瘤,就是这些疗法取得成功的例证。然而,尽管一部分患者的肿瘤符合目前使用这些药物治疗的分子标准,但其治疗效果明显不佳。这导致对预后不佳的患者的管理效率低下,并造成巨大的经济负担。即使在有反应的患者中,反应的持续时间也很有限,这种临床观察结果可能被认为是不寻常的,因为这些抑制剂通常针对的是假定导致肿瘤形成的驱动基因。然而,BTCs 表现出对信号网络而非单个基因的致癌成瘾性,推而广之,治疗反应取决于这些信号网络,而不仅仅是特定靶基因的状态。原发性耐药性是由信号网络成员中同时发生的遗传(DNA)和非遗传(转录、翻译、翻译后)改变介导的,这些改变是靶点改变的上游、下游或平行途径。下一步必须完善选择患者的分子标准,将抗药性生物标志物的共同出现作为单独参数或纳入治疗获益预测指标。确定靶向疗法耐药性的分子基础将有助于下一代联合疗法的开发,最大限度地扩大耐药患者的范围并延长耐药时间。
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Targeted therapies in biliary tract cancer—when precision becomes imprecise

Advanced biliary tract cancers (BTCs) have gained notoriety among gastrointestinal tumours for their comparatively high incidence of actionable alterations and their compelling benefit from targeted therapies matched to these alterations. Such successes are exemplified by BTC-specific approvals of fibroblast growth factor receptor (FGFR) inhibitors for tumours with FGFR2 rearrangements, as well as mutant isocitrate dehydrogenase 1 inhibitors. Nevertheless, there is a clear absence of therapeutic benefit in a subset of patients despite their tumours fulfilling the current molecular criteria for treatment with these drugs. This results in inefficient management of patients with otherwise bleak prognosis, as well as considerable financial burden. Even among responders, the duration of response is limited, a clinical observation that could be considered unusual as these inhibitors typically target driver genes hypothesised to be responsible for tumour formation. However, BTCs exhibit oncogenic addiction to signalling networks rather than individual genes, and by extension, therapeutic response is dependent on these signalling networks rather than simply the status of the specific target gene. Primary resistance is mediated by co-occurring genetic (DNA) and non-genetic (transcriptional, translational, post-translational) alterations in members of signalling networks that are upstream, downstream, or in parallel pathways to the target alteration. Refining the molecular criteria to select patients is a necessary next step, by incorporating co-occurrence of resistance biomarkers as individual parameters or into predictors of treatment benefit. Characterising the molecular bases of resistance to targeted therapies will fuel next-generation combination treatments, maximising the catchment of responders and enhancing the duration of response.

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