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Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management

Overview of attention for book
Attention for Chapter 1: Lung Cancer Genomics in the Era of Accelerated Targeted Drug Development.
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Chapter title
Lung Cancer Genomics in the Era of Accelerated Targeted Drug Development.
Chapter number 1
Book title
Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management
Published in
Advances in experimental medicine and biology, December 2015
DOI 10.1007/978-3-319-24932-2_1
Pubmed ID
Book ISBNs
978-3-31-924931-5, 978-3-31-924932-2
Authors

Priyanga Wijesinghe Ph.D., Aliccia Bollig-Fischer Ph.D., Priyanga Wijesinghe, Aliccia Bollig-Fischer

Editors

Aamir Ahmad, Shirish M. Gadgeel

Abstract

Lung cancer is the leading cause of cancer-related deaths in the United States and the 5-year overall survival outlook for a patient has not improved in several decades. Recently, however, molecular and genomic profiling of the lung tumors has revealed recurring somatic mutations. As a result the therapeutic landscape of lung cancer is undergoing a paradigm shift from a purely histology-based understanding of the disease to subtype distinctions based on tumor genetics, which has launched cancer-specific, mechanism-based targeted therapies with clear benefit to patients. While targeted therapy advancements are being made at an ever increasing rate, a new challenge in the form of drug resistance has also emerged. This review summarizes the current literature for these issues.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Lecturer > Senior Lecturer 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 4 67%
Biochemistry, Genetics and Molecular Biology 2 33%