↓ Skip to main content

Lung Cancer and Personalized Medicine

Overview of attention for book
Attention for Chapter 6: Target Therapy in Lung Cancer.
Altmetric Badge

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Target Therapy in Lung Cancer.
Chapter number 6
Book title
Lung Cancer and Personalized Medicine
Published in
Advances in experimental medicine and biology, December 2015
DOI 10.1007/978-3-319-24223-1_6
Pubmed ID
Book ISBNs
978-3-31-924221-7, 978-3-31-924223-1
Authors

Stefano Cafarotti, Filippo Lococo, Patrizia Froesh, Francesco Zappa, Dutly Andrè

Editors

Aamir Ahmad, Shirish Gadgeel

Abstract

Lung cancer is an extremely heterogeneous disease, with well over 50 different histological variants recognized under the fourth revision of the World Health Organization (WHO) typing system [1]. Because these variants have differing genetic and biological properties correct classification of lung cancer is necessary to assure that lung cancer patients receive optimum management. Due to the recent understanding that histologic typing and EGFR mutation status are important for target the therapy in lung adenocarcinoma patients [2] there was a great need for a new classification that addresses diagnostic issues and strategic management to allow for molecular testing in small biopsy and cytology specimens. For this reason and in order to address advances in lung cancer treatment an international multidisciplinary classification was proposed by the International Association for the Study of Lung Cancer (IASLC), American Thoracic Society (ATS), and European Respiratory Society (ERS) [3], further increasing the histological heterogeneity and improving the existing WHO-classification. Is now the beginning of personalized therapy era that is ideally finalized to treat each individual case of lung cancer in different way.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Student > Ph. D. Student 3 15%
Researcher 3 15%
Student > Master 3 15%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Medicine and Dentistry 4 20%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Agricultural and Biological Sciences 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 5 25%