武汉大学第一临床学院博士生导师简介:孙圣荣

2017-04-10 14:36:02来源:网络

  Jin-Zhong,Sun Sheng-Rong*, Li Yan*. Subtype classification for breast cancer prognosis prediction from a biomarker panel: correlations and indications. IntJ Nanomed, 9, 1039-1048, 2014.

  10.Zhu Shan, Yao Feng, Li Wen-Huan, Wan Jin-Nan, Zhang Yi-Min, Tang Zhao, Shahzad

  Khan, Wang Chang-Hua, Sun Sheng-Rong*. PKCδ-dependent activation of the

  ubiquitin proteasome system is responsible for high glucose-induced human

  breast cancer MCF-7 cell proliferation, migration, and invasion. Asian

  Pacific J Cancer Prev, 14(10), 5687-5692, 2013.

  11.Wang Guannan, Xu Zhiliang, Wang Changhua, Yao Feng, Li Juanjuan, Chen Chuang,

  Sun Sheng-Rong*. Differential phosphofructokinase 1 isoenzyme patterns

  associated with glycolytic efficiency in human breast cancer and paracancer

  tissues. Oncology Letters, 6, 1701-1706, 2013.

  12.Bai Lian-Song, Chen Chuang, Gong Yi-Ping, Wei Wen, Tu Yi, Yao Feng, Li Juan-Juan, Wang Li-Jun, Sun Sheng-Rong*. Lymph node ratio is more predictive than traditional lymph node stratification in lymph node positive invasive breast cancer. Asian Pacific J Cancer Prev, 14(2), 753-757, 2013.

  13.Wang Lin-Wei, Qu Ai-Ping, Yuan Jing-Ping, Chen Chuang, Sun Sheng-Rong, Hu Ming-Bai, Liu Juan, Li Yan*. Computer-based image studies on tumor nests mathematical features of breast cancer and their clinical prognostic value. PLoS One, 8(12), e82314, 2013.

  14.Yao Feng, Li Juanjuan, Wan Yingwen, Zhong Yunping, Wei Wen, Tu Yi, Tong Hexiang,

  Sun Sheng-Rong*. Sonographically guided vacuum-assisted breast biopsy for

  complete excision of presumed benign breast lesions. J Ultrasound Med, 31(12),

  1951-1957, 2012.

  15.Yao Feng, Wang Guannan, Wei Wen, Tu Yi, Tong Hexiang, Sun Sheng-Rong*. An

  autophagy inhibitor enhances the inhibition of cell proliferation induced by

  a proteasome inhibitor in MCF-7 cells. Mol Med Rep, 5(1), 84-88, 2012.

  16.Chen Chuang, Peng Jun, Sun Sheng-Rong, Peng Chun-Wei, Li Yan*, Pang Dai-Wen*.

  Tapping the potentials of quantum dots into clinical application for

  personalized oncology: current status and future perspectives. Nanomedicine,

  7(3), 411-428, 2012.


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