编码药物吸收转运体的溶质载体(SLC)基因的遗传变异对抗癌化疗反应的影响

Jose J. G. Marin, Maria A. Serrano, E. Herráez, E. Lozano, Sara Ortiz-Rivero, Laura Perez-Silva, María Reviejo, O. Briz
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摘要

癌症耐药性严重制约了这些患者的治疗效果。这是一个复杂的问题,因为癌细胞中同时存在多种协同的化疗抗药性(MOC)机制。这些机制是由所谓的抗药性基因组(resistome)中的一系列基因的表达所决定的,这些基因的有效性往往会导致对药物治疗缺乏反应。此外,影响这些基因的遗传变异进一步增加了问题的复杂性。本综述重点讨论一组编码参与药物吸收的转运体成员的基因,这些基因被归入抗药性基因组的 MOC-1A 亚组。这些蛋白属于溶质运载体(SLC)超家族。更确切地说,我们在此考虑了 SLC2、SLC7、SLC19、SLC22、SLCO、SLC28、SLC29、SLC31、SLC46 和 SLC47 家族中的几个成员,因为它们的表达和遗传变异对肿瘤细胞吸收抗癌药物或在某些情况下对一般生物利用度产生了影响。它们表达水平的变化和遗传变异的出现,会促使达尔文选择更具抗药性的克隆,从而形成更具恶性的表型。因此,为了在未来的个性化医疗中解决这一问题,有必要确定抗性基因组中可能影响其功能的变化的特征。此外,还必须考虑这些特征的时间依赖性维度,因为基因表达和基因变异的出现会在肿瘤进展和对治疗的反应过程中发生变化。
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Impact of genetic variants in the solute carrier (SLC) genes encoding drug uptake transporters on the response to anticancer chemotherapy
Cancer drug resistance constitutes a severe limitation for the satisfactory outcome of these patients. This is a complex problem due to the co-existence in cancer cells of multiple and synergistic mechanisms of chemoresistance (MOC). These mechanisms are accounted for by the expression of a set of genes included in the so-called resistome, whose effectiveness often leads to a lack of response to pharmacological treatment. Additionally, genetic variants affecting these genes further increase the complexity of the question. This review focuses on a set of genes encoding members of the transportome involved in drug uptake, which have been classified into the MOC-1A subgroup of the resistome. These proteins belong to the solute carrier (SLC) superfamily. More precisely, we have considered here several members of families SLC2, SLC7, SLC19, SLC22, SLCO, SLC28, SLC29, SLC31, SLC46, and SLC47 due to the impact of their expression and genetic variants in anticancer drug uptake by tumor cells or, in some cases, general bioavailability. Changes in their expression levels and the appearance of genetic variants can contribute to the Darwinian selection of more resistant clones and, hence, to the development of a more malignant phenotype. Accordingly, to address this issue in future personalized medicine, it is necessary to characterize both changes in resistome genes that can affect their function. It is also essential to consider the time-dependent dimension of these features, as the genetic expression and the appearance of genetic variants can change during tumor progression and in response to treatment.
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