卡铂
三阴性乳腺癌
多西紫杉醇
医学
乳腺癌
IC50型
免疫印迹
癌症研究
MTT法
细胞毒性T细胞
突变体
癌症
顺铂
分子生物学
药理学
内科学
细胞培养
化疗
生物
基因
体外
遗传学
作者
Naoise C. Synnott,Alyson Murray,Norma O’Donovan,John Crown,Michael J. Duffy
标识
DOI:10.1200/jco.2016.34.15_suppl.1082
摘要
1082 Background: Despite intensive efforts, a validated targeted therapy for triple-negative breast cancer (TNBC) remains elusive. One of the most frequent genetic alterations identified in TNBC is mutation in the p53 gene, which is found in > 80% of samples. The aim of this study was therefore to investigate the potential value of the mutant p53 reactivating compound, APR-246 for the treatment of TNBC. Methods: Cell viability was determined using the MTT assay. p53 protein levels were determined using Western blot and ELISA while both p63 and p73 levels were measured by Western blotting. Results: Based on a panel of 23 breast cancer cell lines, significantly lower IC50 values were found in p53 mutant compared to p53 wild-type cells (p= 0.014). Furthermore, a significant inverse correlation was found between IC50 values and p53 protein levels (p= 0.0001, r= -0.76). We also related response with levels of the p53 family members, p63 and p73. A significant inverse correlation was found between p63 protein levels and IC50 values (p= 0.01, r= -0.55). In contrast, no correlation was seen between p73 protein level and IC50 values. In an attempt to enhance response, APR-246 was combined with different cytotoxic agents. Both docetaxel and carboplatin showed an additive effect in combination with APR-246. However, this additive effect was cell line-dependent, i.e., docetaxel plus APR-246 was additive in MDA-MB-453 cells (CI = 0.92) cells but not in MDA-MB-468 cells (CI = 1.7), while carboplatin plus APR-246 was additive in MDA-MB-468 cells (CI = 0.94) but not in MDA-MB-453 cells (CI = 1.2). Conclusions: Based on our finding, either the mutational status of the p53 gene or p53 protein levels may be used to predict response to APR-246. Clinical trials investigating this agent should incorporate either or both of these measurements as potential predictive biomarkers.
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