Molecular Diagnostics In Cancer Patients

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Molecular Diagnosis of Cancer

Molecular Diagnosis of Cancer
Author :
Publisher : Springer Science & Business Media
Total Pages : 389
Release :
ISBN-10 : 9781592597604
ISBN-13 : 1592597602
Rating : 4/5 (602 Downloads)

Book Synopsis Molecular Diagnosis of Cancer by : Joseph E. Roulston

Download or read book Molecular Diagnosis of Cancer written by Joseph E. Roulston and published by Springer Science & Business Media. This book was released on 2008-02-01 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are currently experiencing a fundamental shift in the way in which we approach the characterization of cancer. Never before has the make up of cancer tissues and individual cells been so exhaustively researched and char- terized. We are now capable of producing molecular “fingerprints” that ch- acterize the expression of all known and unknown genes within tumors and their surrounding tissues. More than 30,000 different genes may be measured in each patient’s tumor in a single experiment. Simultaneously, novel therapies that exploit the molecular roadmap have been developed and are now being offered to patients. These novel agents, such as Glivec, Herceptin, Iressa, and others, specifically target individual genes within tumors and can produce d- matic responses in some patients. These drugs are only the forerunners of a coming tidal wave of novel therapeutics that individually target specific m- ecules within cancer cells—more than 300 such agents are currently in phase I or II clinical trials. This is an exciting time for cancer specialists and patients alike. However, if we have learned anything from the past 50 or more years of research into cancer, it is that Lord Beaverbrook, in founding the British national health service in the 1950s, was frighteningly prescient when he defined the primary goal of health care to be “Diagnosis, Diagnosis, Diag- sis. ” Now, more than ever, it is essential that appropriate diagnostic methods and approaches are applied to the selection of patients for treatment.


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