Pavlin Matic, Gelsomino Luca, Barone Ines, Spinello Angelo, Catalano Stefania, Andò Sebastiano, Magistrato Alessandra
National Research Council - Institute of Materials (IOM) at International School for Advanced Studies (ISAS), Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy.
Department of Pharmacy, Health and Nutrition Sciences, Centro Sanitario, University of Calabria, Rende, Italy.
Front Chem. 2019 Sep 4;7:602. doi: 10.3389/fchem.2019.00602. eCollection 2019.
The most frequently diagnosed cancers in women are the estrogen receptor (ER)-positive breast cancer subtypes, which are characterized by estrogen dependency for their growth. The mainstay of clinical treatment for this tumor relies on the modulation of ERα action or on the suppression of estrogen biosynthesis via the administration of Selective ERα Modulators/Down-regulators (SERMs/SERDs) or aromatase inhibitors, respectively. Nevertheless, and acquired resistance to these therapies frequently occurs and represents a major clinical concern for patient survival. Recently, somatic mutations affecting the hormone-binding domain of ERα (i.e., Y537S, Y537N, D538G) have been associated with endocrine resistance, disease relapse and increased mortality rates. Hence, devising novel therapies against these ERα isoforms represents a daunting challenge. Here, we identified five molecules active on recurrent Y537S ERα polymorphism by employing virtual screening on commercial databases of molecules, complemented by ER-transactivation and MTT assays in MCF7 and MDA-MB-231 breast cancer cells expressing wild type or mutated ERα. Among them, one molecule selectively targets Y537S ERα without inducing any cytotoxicity in breast cell lines. Multi-microseconds (4.5 μs) of biased and unbiased molecular dynamics provided an atomic-level picture of the structural, thermodynamics (i.e., binding free energies) and the kinetic (i.e., dissociation free energy barriers) of these active ligands as compared to clinically used SERM/SERDs upon binding to wild type and distinct ERα variants (Y537S, Y537N, D538G). This study contributes to a dissection of the key molecular traits needed by drug-candidates to hamper the agonist (active)-like conformation of ERα, normally selected by those polymorphic variants. This information can be useful to discover mutant specific drug-candidates, enabling to move a step forward toward tailored approaches for breast cancer treatment.
女性中最常被诊断出的癌症是雌激素受体(ER)阳性乳腺癌亚型,其特征是生长依赖雌激素。这种肿瘤的临床治疗主要依靠调节ERα的作用,或分别通过施用选择性ERα调节剂/下调剂(SERM/SERD)或芳香化酶抑制剂来抑制雌激素生物合成。然而,对这些疗法的原发性和获得性耐药经常发生,这是患者生存的一个主要临床问题。最近,影响ERα激素结合域的体细胞突变(即Y537S、Y537N、D538G)与内分泌耐药、疾病复发和死亡率增加有关。因此,设计针对这些ERα亚型的新疗法是一项艰巨的挑战。在这里,我们通过对商业分子数据库进行虚拟筛选,并在表达野生型或突变型ERα的MCF7和MDA-MB-231乳腺癌细胞中进行ER反式激活和MTT试验,鉴定出了五种对复发性Y537S ERα多态性有活性的分子。其中,一种分子选择性靶向Y537S ERα,而不会在乳腺细胞系中诱导任何细胞毒性。与临床使用的SERM/SERD与野生型和不同ERα变体(Y537S、Y537N、D538G)结合相比,多微秒(4.5微秒)的偏向和无偏分子动力学提供了这些活性配体的结构、热力学(即结合自由能)和动力学(即解离自由能垒)的原子水平图像。这项研究有助于剖析候选药物阻碍ERα激动剂(活性)样构象所需的关键分子特征,而这种构象通常由那些多态性变体选择。这些信息可能有助于发现突变体特异性候选药物,从而朝着乳腺癌的个性化治疗迈进。