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Human high molecular weight-melanoma-associated antigen (HMW-MAA): a melanoma cell surface chondroitin sulfate proteoglycan (MSCP) with biological and clinical significance.

• Michael R Campoli, Chien-Chung Chang, Toshiro Kageshita, Xinhui Wang, James B. McCarthy, Soldano Ferrone
• Critical reviews in immunology
• 2004

The lack of effective conventional therapies for the treatment of advanced stage melanoma has stimulated interest in the application of novel strategies for the treatment of patients with malignant… (More)

Major histocompatibility complex class I-related chain A and UL16-binding protein expression on tumor cell lines of different histotypes: analysis of tumor susceptibility to NKG2D-dependent natural…

• Daniela Pende, Paola X Rivera, +7 authors Alessandro Moretta
• Cancer research
• 2002

NKG2D, together with NKp46 and NKp30, represents a major triggering receptor involved in the induction of cytotoxicity by both resting and activated human natural killer cells. In this study, we… (More)

Classical and nonclassical HLA class I antigen and NK Cell-activating ligand changes in malignant cells: current challenges and future directions.

• Chien-Chung Chang, Michael R Campoli, Soldano Ferrone
• Advances in cancer research
• 2005

Changes in classical and nonclassical HLA class I antigen and NK cell-activating ligand expression have been identified in malignant lesions. These changes, which are described in this chapter, are… (More)

Immune selection of hot-spot beta 2-microglobulin gene mutations, HLA-A2 allospecificity loss, and antigen-processing machinery component down-regulation in melanoma cells derived from recurrent…

• Chien-Chung Chang, Michael R Campoli, Nicholas P Restifo, Xinhui Wang, Soldano Ferrone
• Journal of immunology
• 2005

Scanty information is available about the mechanisms underlying HLA class I Ag abnormalities in malignant cells exposed to strong T cell-mediated selective pressure. In this study, we have… (More)

HLA class I antigen loss, tumor immune escape and immune selection.

• Michael R Campoli, Chien-Chung Chang, Soldano Ferrone
• Vaccine
• 2002

Poor clinical response rates have been observed in the majority of the T cell-based immunotherapy clinical trials conducted to date. One reason might be the presence of abnormalities in HLA class I… (More)

Immune selective pressure and HLA class I antigen defects in malignant lesions

• Chien-Chung Chang, Soldano Ferrone
• Cancer Immunology, Immunotherapy
• 2006

The revived cancer immune surveillance theory has emphasized the active role the immune system plays in eliminating tumor cells and in facilitating the emergence of their immunoresistant variants.… (More)

Semi-supervised Learning for False Alarm Reduction

• Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen-Yang Luo, Hsiu-Chuan Huang
• ICDM
• 2010

Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of triggered alerts. Thus, reducing… (More)

Variant Methods of Reduced Set Selection for Reduced Support Vector Machines

• Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
• J. Inf. Sci. Eng.
• 2010

In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce the model complexity.… (More)

HLA-G in melanoma: can the current controversies be solved?

• Chien-Chung Chang, Soldano Ferrone
• Seminars in cancer biology
• 2003

The potential role of HLA-G in tumor immune escape has stimulated interest in the analysis of HLA-G antigens in malignant cells. Malignant melanoma is the tumor which has been mostly analyzed for… (More)

Incremental forward feature selection with application to microarray gene expression data.

• Yuh-Jye Lee, Chien-Chung Chang, Chia-Huang Chao
• Journal of biopharmaceutical statistics
• 2008

In this study, the authors propose a new feature selection scheme, the incremental forward feature selection, which is inspired by incremental reduced support vector machines. In their method, a new… (More)

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