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Tumor Biomarker Discovery
Methods and Protocols
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Main description:

Biomarkers are molecular indicators of a biological status and, as biochemical species, can be interrogated to evaluate disease status and therapeutic interventions. Biomarkers may be detectable in the blood, other body fluids, or tissues. The expectation is that the level of an informative biomarker is related to the specific type of disease present in the body. Hence, disease-relevant biomarkers can be used to measure the presence, progress, or intensity of disease. Through a variety of mechanisms, cancer cells provide the biomarker material for their own detection. Tumor biomarkers include cancer-specific mutations or changes in gene expression, both of which can result in aberrant protein expression. These variant or abundant proteins can be detectable in the circulation as the free proteins or as novel autoantibodies to those proteins, the latter indicating that the immune system can provide an exquisitely sensitive sensor of disease. Because cancer cells shed DNA in the circu- tion, an event rarely seen in healthy individuals, tumor-specific genetic changes, such as promoter methylation or gene mutations, are detectable in DNA prepared from plasma or other body fluids. Cancer-related biochemical changes often effect measurable me- bolic variations within a cell or organism. In addition, these biochemical changes result in posttranslational modification of proteins via glycosylation or phosphorylation providing a plethora of opportunity for biomarker discovery.


Contents:

1. Identification of Tumor-Associated Antigens (TAAs) as Diagnostic and Predictive Biomarkers in Cancer
Jian-Ying Zhang, Kok Sun Looi, and Eng M. Tan

2. Autoantibodies against Cancer Antigens
Sacha Gnjatic, Lloyd J. Old, and Yao-Tseng Chen

3. Discovery of Antibody Biomarkers Using Protein Microarrays of Tumor Antigens Cloned in High-Throughput
Madhumita Chatterjee, Jerzy Wojciechowski, and Michael A. Tainsky

4. Analysis of Glycans on Serum Proteins Using Antibody Microarrays
Songming Chen and Brian B. Haab

5. Glycoproteomic Analysis by Two Dimensional Electrophoresis
Mary Ann Comunale and Anand Mehta

6. All-Liquid Separations, Protein Microarrays and Mass Spectrometry to Interrogate Serum Proteomes: An Application to Serum Glycoproteomics
Tasneem H. Patwa, Yinghua Qiu, Jia Zhao, Diane M. Simeone, and David M. Lubman

7. Reverse Phase Protein Microarrays for Theranostics and Patient Tailored Therapy
Virginia Espina, Lance A. Liotta, and Emanuel F. Petricoin III

8. Serum Proteomics Using Mass Spectrometry
Brian L. Hood, David E. Malehorn, Thomas P. Conrads, and William L. Bigbee

9. Hormones as Biomarkers: Practical Guide to Utilizing Luminex Technolgies for Biomarker Research
Faina Linkov, Zoya Yurkovetsky, and Anna Lokshin

10. High-Throughput Analysis of Serum Antigens Using Sandwich ELISAs on Microarrays
Shannon L. Servoss, Rachel Gonzalez, Susan Varnum, and Richard C. Zangar

11. Tissue Microarrays as a Tool in the Discovery and Validation of Tumor Markers
Stephen M. Hewitt

12. Quantitative, Fluorescence-Based In-Situ Assessment of Protein Expression
Christopher B. Moeder, Jennifer M. Giltnane, Sharon Pozner Moulis, and David L. Rimm

13. Tumor Marker Discovery by Expression Profiling RNA from Formalin Fixed Paraffin Embedded Tissues
Maureen T. Cronin, Debjani Dutta, Mylan Pho, Anhthu Nugyen, Jennie Jeong, and Mei-Lan Liu

14. High-Throughput Mutation Screening Using a Single Amplification Condition
Lijia Shi and John E. Landers

15. DNA Sequencing of Cancer-Related Genes for Biomarker Discovery
Lisa M. Farwell and Victoria A. Joshi

16. Analysis of Loss of Heterozygosity in Circulating DNA
Takeshi Nakamura, Eiji Sunami, and Dave S. B. Hoon

17. Pharmacogenomics
Shilong Zhong and Marjorie Romkes

18. Study Designs in Genetic Epidemiology
Michele L. Cote

19. Developing Classifiers for the Detection of Cancer Using Multi-Analytes
Adi Laurentiu Tarca, Sorin Draghici, and Roberto Romero

20. Metabolomics of Cancer
Natalie J. Serkova and Kristine Glunde

21. MRI and MRS of Human Brain Tumors
Bob L. Hou and Jiani Hu

22. Magnetic Resonance Spectroscopy of Living Tissues
Natalie J. Serkova, Kendra M. Hasebroock, and Susan L. Kraft


PRODUCT DETAILS

ISBN-13: 9781617379154
Publisher: Springer (Humana Press Inc.)
Publication date: January, 2011
Pages: 343
Weight: 877g
Availability: Available
Subcategories: General Issues, Oncology
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