Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ena Wang"'
Autor:
Fulan Guan, David F. Stroncek, Francesco M. Marincola, Davide Bedognetti, Scott Bussom, Jinguo Chen, Ena Wang, Jeffrey D. White, Wing Lam, Zaoli Jiang, Yingdong Zhao, Courtney Quinn, Yung-Chi Cheng, Yichao Mark
Publikováno v:
BMC Medical Genomics
BMC Medical Genomics, Vol 4, Iss 1, p 38 (2011)
BMC Medical Genomics, Vol 4, Iss 1, p 38 (2011)
Background - Traditional Chinese Medicine (TCM) has been used for thousands of years to treat or prevent diseases, including cancer. Good manufacturing practices (GMP) and sophisticated product analysis (PhytomicsQC) to ensure consistency are now ava
Autor:
Cristin G. Print, Lance D. Miller, Julia Chifman, Jeff W. Chou, Davide Bedognetti, Thomas C. Putti, Francesco M. Marincola, Eran R. Andrechek, Ena Wang, Eric B. Jimenez, Xiaobo Zhou, Ashok K. Pullikuth, Michael A. Black, Angela Tatiana Alistar
Publikováno v:
Journal for Immunotherapy of Cancer
The abundance and functional orientation of tumor-infiltrating effector cells has long been observed to predict for reduced incidence of clinical metastasis and cancer-specific death. Using bioinformatics to mine large breast tumor microarray dataset
Autor:
Franco M. Buonaguro, Maria Lina Tornesello, Ena Wang, Francesco M. Marincola, Luigi Buonaguro
Publikováno v:
BMC Systems Biology, Vol 5, Iss 1, p 146 (2011)
BMC Systems Biology
BMC Systems Biology
Immunotherapies, including vaccines, represent a potent tool to prevent or contain disease with high morbidity or mortality such as infections and cancer. However, despite their widespread use, we still have a limited understanding of the mechanisms
Autor:
Davide Bedognetti, Ena Wang, Daniela Murtas, Qiuzhen Liu, Valeria De Giorgi, Francesco M. Marincola, Maria Libera Ascierto, David F. Stroncek, Lotfi Chouchane, Masoud H. Manjili, Tara L Spivey, Lorenzo Uccellini, Ben D. Ayotte
Publikováno v:
Journal of Translational Medicine
Journal of Translational Medicine, Vol 9, Iss 1, p 146 (2011)
Journal of Translational Medicine, Vol 9, Iss 1, p 146 (2011)
The advent of high-throughput technology challenges the traditional histopathological classification of cancer, and proposes new taxonomies derived from global transcriptional patterns. Although most of these molecular re-classifications did not endu