Department of Tumor Growth Biology, N. N. Petrov Institute of Oncology, 197758 St. Petersburg, Russia.
Department of Medical Genetics, St. Petersburg Pediatric Medical University, 194100 St. Petersburg, Russia.
Int J Mol Sci. 2024 Apr 7;25(7):4094. doi: 10.3390/ijms25074094.
Many tumors have well-defined vulnerabilities, thus potentially allowing highly specific and effective treatment. There is a spectrum of actionable genetic alterations which are shared across various tumor types and, therefore, can be targeted by a given drug irrespective of tumor histology. Several agnostic drug-target matches have already been approved for clinical use, e.g., immune therapy for tumors with microsatellite instability (MSI) and/or high tumor mutation burden (TMB), NTRK1-3 and RET inhibitors for cancers carrying rearrangements in these kinases, and dabrafenib plus trametinib for V600E mutated malignancies. Multiple lines of evidence suggest that this histology-independent approach is also reasonable for tumors carrying and translocations, biallelic inactivation and/or homologous recombination deficiency (HRD), strong amplification/overexpression coupled with the absence of other MAPK pathway-activating mutations, etc. On the other hand, some well-known targets are not agnostic: for example, PD-L1 expression is predictive for the efficacy of PD-L1/PD1 inhibitors only in some but not all cancer types. Unfortunately, the individual probability of finding a druggable target in a given tumor is relatively low, even with the use of comprehensive next-generation sequencing (NGS) assays. Nevertheless, the rapidly growing utilization of NGS will significantly increase the number of patients with highly unusual or exceptionally rare tumor-target combinations. Clinical trials may provide only a framework for treatment attitudes, while the decisions for individual patients usually require case-by-case consideration of the probability of deriving benefit from agnostic versus standard therapy, drug availability, associated costs, and other circumstances. The existing format of data dissemination may not be optimal for agnostic cancer medicine, as conventional scientific journals are understandably biased towards the publication of positive findings and usually discourage the submission of case reports. Despite all the limitations and concerns, histology-independent drug-target matching is certainly feasible and, therefore, will be increasingly utilized in the future.
许多肿瘤都存在明确的弱点,因此有可能进行高度特异性和有效的治疗。存在一系列可操作的遗传改变,这些改变在各种肿瘤类型中都有共享,因此可以通过特定药物靶向,而与肿瘤组织学无关。已经有几种针对未知靶点的药物匹配物被批准用于临床,例如针对微卫星不稳定(MSI)和/或高肿瘤突变负担(TMB)的肿瘤的免疫治疗、携带这些激酶重排的癌症的 NTRK1-3 和 RET 抑制剂,以及针对 V600E 突变恶性肿瘤的 dabrafenib 加 trametinib。多条证据表明,对于携带 和 易位、双等位基因失活和/或同源重组缺陷(HRD)、强烈 扩增/过表达同时缺乏其他 MAPK 通路激活突变的肿瘤,这种与组织学无关的方法也是合理的。另一方面,一些众所周知的靶点并非针对未知靶点:例如,PD-L1 表达仅在某些癌症类型中对 PD-L1/PD1 抑制剂的疗效具有预测性,但并非所有癌症类型都如此。不幸的是,即使使用全面的下一代测序(NGS)检测,在给定的肿瘤中找到可治疗靶点的个体概率仍然相对较低。尽管如此,NGS 的快速应用将显著增加具有高度不寻常或异常罕见肿瘤-靶点组合的患者数量。临床试验可能仅为治疗态度提供框架,而对于个别患者的决策通常需要根据从未知治疗与标准治疗中获益的可能性、药物可用性、相关成本和其他情况,逐案考虑。现有的数据传播格式可能并不适合针对未知靶点的癌症药物,因为传统的科学期刊显然偏向于发表阳性发现,通常不鼓励提交病例报告。尽管存在所有的局限性和担忧,但针对未知靶点的药物匹配肯定是可行的,因此在未来将越来越多地被使用。