Estrogen metabolite profiling of thin tissue sections

许多癌症都是由神经驱动的。最终，结合肿瘤雌激素受体状态、突变分析、芳香化酶水平和雌激素代谢物分析的信息的预测性测定可能被证明具有临床益处。从肿瘤组织中分析的雌激素代谢物可能有助于发展一种策略，该策略通过增强我们对经由芳香酶或经由配体依赖性信号传导局部产生的雌激素的理解来靶向实体瘤中的癌症途径。最终，ER和相关受体的合理共抑制可能导致更大的抗肿瘤活性。

Many cancers are hormonally driven. Ultimately, a predictive assay combining information from tumor estrogen receptor status, mutational analysis, aromatase levels and estrogen metabolite analysis may prove to have clinical benefit. Estrogen metabolites profiled from tumor tissue may aid in evolving a strategy that targets cancer pathways in solid tumors by enhancing our understanding of estrogens produced locally via aromatase or via ligand dependent signaling. Ultimately, a rational co-inhibition of ER and related receptors may result in greater anti-tumor activity.