Cancer Gene Profiling

Organizational Issues in Providing High-Quality Human Tissues and Clinical Information for the Support of Biomedical Research.- Manual Microdissection.- Laser Microdissection.- Tissue Microarrays.- A Decade of Cancer Gene Profiling: From Molecular Portraits to Molecular Function.- Mining Expressed Sequence Tag (EST) Libraries for Cancer-Associated Genes.- Automated Fluorescent Differential Display for Cancer Gene Profiling.- Manual Microdissection Combined with Antisense RNA-LongSAGE for the Analysis of Limited Cell Numbers.- Quantitative DNA Methylation Profiling on a High-Density Oligonucleotide Microarray.- Single-Nucleotide Polymorphism (SNP) Analysis to Associate Cancer Risk.- Application of Proteomics in Cancer Gene Profiling: Two-Dimensional Difference in Gel Electrophoresis (2D-DIGE).- Search for and Identification of Novel Tumor-Associated Autoantigens.- Integrative Oncogenomic Analysis of Microarray Data in Hematologic Malignancies.- Cancer Gene Profiling in Pancreatic Cancer.- Cancer Gene Profiling in Prostate Cancer.- Cancer Gene Profiling for Response Prediction.- The EGFR Pathway as an Example for Genotype: Phenotype Correlation in Tumor Genes.- Quantitation of CD39 Gene Expression in Pancreatic Tissue by Real-Time Polymerase Chain Reaction.- Functional Profiling Methods in Cancer.- Calibration of Microarray Gene-Expression Data.- Meta-analysis of Cancer Gene-Profiling Data.- Target Gene Discovery for Novel Therapeutic Agents in Cancer Treatment.

From the reviews: "The team of over 60 contributors put together an impressive compilation, covering a whole process of genetic analysis of cancer tissue ... . Usefulness of the book is increased by the fact that most of the methods are optimized for real-life clinical tissue samples not just cell lines. ... All in all, this book clearly demonstrated that the molecular methods used in the diagnosis and research of cancer, and of any other disease for that matter, entered the 21st century." (J. Markus, Neoplasma, March, 2011)

From the reviews: "The team of over 60 contributors put together an impressive compilation, covering a whole process of genetic analysis of cancer tissue ... . Usefulness of the book is increased by the fact that most of the methods are optimized for real-life clinical tissue samples not just cell lines. ... All in all, this book clearly demonstrated that the molecular methods used in the diagnosis and research of cancer, and of any other disease for that matter, entered the 21st century." (J. Markus, Neoplasma, March, 2011)