Targeted Therapies in Cancer: (eBook, PDF)

Myth or Reality?
Redaktion: Colotta, Francesco; Mantovani, Alberto

• Format: PDF

Produktbeschreibung

Billions of dollars are spent every year on research into targeted therapies for cancer. That's why it's more than ever crucial for the thousands of scientists working in the field to keep right up to date with the cutting edge. This fascinating collection of material goes a long way to helping them do so, featuring as it does contributions to a crucial international meeting in Italy. The meeting provided a forum for scientists and clinicians working in cancer drug discovery and therapy to share their opinions and experiences. The text here offers readers an overview of diverse approaches, ranging from drug discovery to cellular therapy. Overall, the book addresses the key question of whether ultimately targeted therapy in cancer will be a myth or a reality.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 191
• Erscheinungstermin: 5. Dezember 2007
• Englisch
• ISBN-13: 9780387738987
• Artikelnr.: 37288171

Inhaltsangabe

Causality in Medicine.- The Evolution of the Biomedical Paradigm in Oncology: Implications for Cancer Therapy.- Anticancer Drug Discovery and Development.- Beyond VEGF: Targeting Tumor Growth and Angiogenesis via Alternative Mechanisms.- Aurora Kinases and Their Inhibitors: More Than One Target and One Drug.- Signalling Pathways and Adhesion Molecules as Targets for Antiangiogenesis Therapy in Tumors.- Developing T-Cell Therapies for Cancer in an Academic Setting.- Anticancer Cell Therapy with TRAIL-Armed CD34+ Progenitor Cells.- Linking Inflammation Reactions to Cancer: Novel Targets for Therapeutic Strategies.- Clinical Development of Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase Inhibitors: What Lessons Have We Learned?.- GIST As the Model of Paradigm Shift Towards Targeted Therapy of Solid Tumors: Update and Perspective on Trial Design.- Monoclonal Antibodies in the Treatment of Malignant Lymphomas.- Molecular Network Analysis using Reverse Phase Protein Microarrays for Patient Tailored Therapy.