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Faculty Profile Last Modified Time: 02:31:35 PM Thu, 7 Mar 2024   Contact Information Tsz-Kwong (Chris) Man Associated Profiles  Associate Professor, Pediatrics, Hematology & Oncology, Baylor College of Medicine   1102 Bates Ave., Room No.: Suite 1570    tman@bcm.edu     832-824-4682     832-825-4038    Web Link    TCH Website    Proteome, Proteomics, Bone Neoplasms, Blood Proteins, Bone Tumors, Osteosarcoma, Platelet Factor 4, Serum Amyloid A Protein    Associated Profiles Research and Expertise Affiliations Appointments  Research and Expertise Research Interests   Molecular classification of cancer using a systems biology approach. We use a systems biology approach to generate genomic and proteomic profiles from various specimens of cancer patients, such as tumors and plasma. The goal of our laboratory is to integrate these diverse data by various classification algorithms to construct prediction models, which can better predict clinical phenotypes of pediatric cancer, such as drug resistance, metastatic potential, and prognosis. Ultimately, we aim to develop an easy-to-use and minimally invasive blood test that can help to diagnose and prognosticate patients with pediatric cancers, so they can be treated as early and precisely as possible. Mechanistic study of metastatic determinants. Using a proteomic approach, we have identified p27 (CDKN1B) as a crucial metastatic determinant in pediatric osteosarcoma. We have shown that p27 is frequently mislocalized in the cytoplasm of osteosarcoma cases, and the mislocalization increases the metastatic potential of tumor cells. p27 is a well-known tumor suppressor gene that regulates normal cell cycle progression when it is located in the nucleus, but its oncongenic function when located in the cytoplasm is still largely unknown. It may act as a master switch between tumorigenesis and cancer progression. We use a panel of targeted genomic and proteomic methods to dissect the mechanism of the cytoplasmic p27 in the promotion of metastasis in osteosarcoma and other cancers. Our goal is to test if cytoplasmic p27 can be used as a novel therapeutic target to abolish metastasis in cancer. Cancer bioinformatics. With the explosion of the genomic data and the decreasing cost of the genomic assays, there is a wealth of genomic data available in various public repositories. These resources provide an unprecedented opportunity for data mining to identify common cancer signatures and mechanisms in various cancers. Understanding these common features of different types of cancer will provide an important clue on how to target cancer in general. Our lab is interested in developing bioinformatic methods and tools that can utilize these resources to answer specific biological or clinical questions that will lead to a better understanding of common cancer phenotypes and the development of novel therapeutic targets.  Publications/Creative Works Click here to search for this faculty member's publications on PubMed.  Affiliations  Training Grants NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows Computational Cancer Biology Training Program  Appointments Title Department / School Institution Associate Professor Pediatrics Baylor College of Medicine

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