Chapter title |
Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management
|
---|---|
Chapter number | 11 |
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_11 |
Pubmed ID | |
Book ISBNs |
978-3-31-924931-5, 978-3-31-924932-2
|
Authors |
Gadgeel, Shirish M, Shirish M. Gadgeel M.D., Shirish M. Gadgeel, Gadgeel, Shirish M. |
Editors |
Aamir Ahmad, Shirish M. Gadgeel |
Abstract |
Lung cancer remains the most common cause of cancer related deaths in both men and women in the United States and non-small cell lung cancer (NSCLC) accounts for over 85 % of all lung cancers. Survival of these patients has not significantly altered in over 30 years. This chapter initially discusses the clinical presentation of lung cancer patients. Most patients diagnosed with lung cancer due to symptoms have advanced stage cancer. Once diagnosed, lung cancer patients need imaging studies to assess the stage of the disease before decisions regarding therapy are finalized. The most important prognostic factors are stage of the disease and performance status and these factors also determine therapy. The chapter subsequently discusses management of each stage of the disease and the impact of several pathologic, clinical factors in personalizing therapy for each individual patient. Transition from chemotherapy for every patient to a more personalized approach based on histology and molecular markers has occurred in the management of advanced stage NSCLC. It is expected that such a personalized approach will extend to all stages of NSCLC and will likely improve the outcomes of all NSCLC patients. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 119 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 31 | 26% |
Student > Master | 15 | 13% |
Student > Ph. D. Student | 13 | 11% |
Student > Doctoral Student | 9 | 8% |
Professor > Associate Professor | 7 | 6% |
Other | 19 | 16% |
Unknown | 25 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 24% |
Nursing and Health Professions | 17 | 14% |
Biochemistry, Genetics and Molecular Biology | 10 | 8% |
Agricultural and Biological Sciences | 8 | 7% |
Veterinary Science and Veterinary Medicine | 4 | 3% |
Other | 24 | 20% |
Unknown | 27 | 23% |