Validation of p27KIP1 expression levels as a candidate predictive biomarker of response to rapalogs in patient-derived breast tumor xenografts
Validation of p27KIP1 expression levels as a candidate predictive biomarker of response to rapalogs in patient-derived breast tumor xenografts
复制标题
验证 p27KIP1 表达水平作为患者来源的乳腺肿瘤异种移植物中对 rapalogs 反应的候选预测生物标志物
DOI:
10.1007/s13277-014-2580-y
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Guang Chen
中科院分区:
文献类型:
--
作者:
Xiaofei Ding;D. Yin;Qian Chen;Hua;Jun Zhou;Guang Chen
Blockade of mammalian target of rapamycin (mTOR) is a promising area in breast cancer therapy. However, in clinical trials, objective response rate with mTOR inhibitor monotherapy in breast cancer was modest. Biomarker studies designed to identify the responders of rapalogs are of increasing interest. We validated p27KIP1 expression levels as a candidate predictive biomarker of response to rapalogs. We also analyzed the correlation between rapamycin activity and p27KIP1 expression in the primary breast cancer cells and the patient-derived breast tumor xenograft models. The cells isolated from the breast tumor tissues expressing high levels of p27KIP1 were sensitive to rapamycin, whereas the cells from the tissues expressing low levels of p27KIP1 exhibited resistance to rapamycin. The correlation between p27KIP1 expression and rapamycin antitumor activity was also observed in the patient-derived breast tumor xenograft models. Moreover, we also found rapamycin significantly decreased phosphorylated p70S6K1 and phosphorylated 4EBP1 in both samples. It seemed that the different sensitivity of tumor cells to rapamycin did not owe to its different potency against mTOR activity. We further propose p27KIP1 expression level may be also a candidate predictive biomarker of rapalogs for breast cancer therapy, which requires additional clinical validation.
影响因子:
11.2
作者:
Zhang X;Claerhout S;Prat A;Dobrolecki LE;Petrovic I;Lai Q;Landis MD;Wiechmann L;Schiff R;Giuliano M;Wong H;Fuqua SW;Contreras A;Gutierrez C;Huang J;Mao S;Pavlick AC;Froehlich AM;Wu MF;Tsimelzon A;Hilsenbeck SG;Chen ES;Zuloaga P;Shaw CA;Rimawi MF;Perou CM;Mills GB;Chang JC;Lewis MT
通讯作者:
Lewis MT
影响因子:
16
作者:
Hong, Feng;Larrea, Michelle D.;Slingerland, Joyce M.
通讯作者:
Slingerland, Joyce M.