Title |
The Prognostic Role of Circulating Tumor Cells (CTCs) in Lung Cancer
|
---|---|
Published in |
Frontiers in oncology, August 2018
|
DOI | 10.3389/fonc.2018.00311 |
Pubmed ID | |
Authors |
Joanna Kapeleris, Arutha Kulasinghe, Majid E. Warkiani, Ian Vela, Liz Kenny, Kenneth O'Byrne, Chamindie Punyadeera |
Abstract |
Lung cancer affects over 1. 8 million people worldwide and is the leading cause of cancer related mortality globally. Currently, diagnosis of lung cancer involves a combination of imaging and invasive biopsies to confirm histopathology. Non-invasive diagnostic techniques under investigation include "liquid biopsies" through a simple blood draw to develop predictive and prognostic biomarkers. A better understanding of circulating tumor cell (CTC) dissemination mechanisms offers promising potential for the development of techniques to assist in the diagnosis of lung cancer. Enumeration and characterization of CTCs has the potential to act as a prognostic biomarker and to identify novel drug targets for a precision medicine approach to lung cancer care. This review will focus on the current status of CTCs and their potential diagnostic and prognostic utility in this setting. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 91 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 16% |
Student > Bachelor | 11 | 12% |
Researcher | 8 | 9% |
Student > Master | 5 | 5% |
Professor > Associate Professor | 4 | 4% |
Other | 10 | 11% |
Unknown | 38 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 23 | 25% |
Medicine and Dentistry | 9 | 10% |
Engineering | 6 | 7% |
Chemical Engineering | 3 | 3% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 6 | 7% |
Unknown | 42 | 46% |