Palmirotta Raffaele, Carella Claudia, Silvestris Erica, Cives Mauro, Stucci Stefania Luigia, Tucci Marco, Lovero Domenica, Silvestris Franco
Department of Biomedical Sciences and Human Oncology, Section of Clinical and Molecular Oncology, University of Bari Aldo Moro, 70124 Bari, Italy.
Oncotarget. 2018 May 18;9(38):25355-25382. doi: 10.18632/oncotarget.25256.
In the "precision medicine" era, chemotherapy still remains the backbone for the treatment of many cancers, but no affordable predictors of response to the chemodrugs are available in clinical practice. Single nucleotide polymorphisms (SNPs) are gene sequence variations occurring in more than 1% of the full population, and account for approximately 80% of inter-individual genomic heterogeneity. A number of studies have investigated the predictive role of SNPs of genes enrolled in both pharmacodynamics and pharmacokinetics of chemotherapeutics, but the clinical implementation of related results has been modest so far. Among the examined germline polymorphic variants, several SNPs of (DPYD) and (UGT) have shown a robust role as predictors of toxicity following fluoropyrimidine- and/or irinotecan-based treatments respectively, and a few guidelines are mandatory in their detection before therapy initiation. Contrasting results, however, have been reported on the capability of variants of other genes as MTHFR, TYMS, ERCC1, XRCC1, GSTP1, CYP3A4/3A5 and ABCB1, in predicting either therapy efficacy or toxicity in patients undergoing treatment with pyrimidine antimetabolites, platinum derivatives, irinotecan and taxanes. While formal recommendations for routine testing of these SNPs cannot be drawn at this moment, therapeutic decisions may indeed benefit of germline genomic information, when available. Here, we summarize the clinical impact of germline genomic variants on the efficacy and toxicity of major chemodrugs, with the aim to facilitate the therapeutic expectance of clinicians in the odiern quicksand field of complex molecular biology concepts and controversial trial data interpretation.
在“精准医学”时代,化疗仍是许多癌症治疗的核心,但临床实践中尚无经济实惠的化疗药物反应预测指标。单核苷酸多态性(SNP)是在全人群中出现频率超过1%的基因序列变异,约占个体间基因组异质性的80%。许多研究调查了参与化疗药物药效学和药代动力学的基因的SNP的预测作用,但相关结果的临床应用至今仍较为有限。在已检测的种系多态性变异中,二氢嘧啶脱氢酶(DPYD)和尿苷二磷酸葡萄糖醛酸基转移酶(UGT)的几个SNP分别显示出对基于氟尿嘧啶和/或伊立替康治疗毒性的强大预测作用,并且在治疗开始前检测这些指标有一定必要性。然而,关于其他基因如亚甲基四氢叶酸还原酶(MTHFR)、胸苷酸合成酶(TYMS)、切除修复交叉互补基因1(ERCC1)、X线修复交叉互补蛋白1(XRCC1)、谷胱甘肽S-转移酶P1(GSTP1)、细胞色素P450 3A4/3A5(CYP3A4/3A5)和ATP结合盒转运蛋白B1(ABCB1)的变异在预测接受嘧啶抗代谢物、铂类衍生物、伊立替康和紫杉烷治疗患者的治疗疗效或毒性方面,报道结果不一。虽然目前尚无法得出对这些SNP进行常规检测的正式建议,但在可获得种系基因组信息时,治疗决策可能确实会从中受益。在此,我们总结种系基因组变异对主要化疗药物疗效和毒性的临床影响,旨在帮助临床医生应对当前复杂分子生物学概念和有争议的试验数据解读这一棘手领域中的治疗预期问题。