↓ Skip to main content

Cell‐free circulating tumor DNA in cancer

Overview of attention for article published in Cancer Communications, April 2016
Altmetric Badge

Mentioned by

twitter
3 X users
patent
4 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
318 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.
Title
Cell‐free circulating tumor DNA in cancer
Published in
Cancer Communications, April 2016
DOI 10.1186/s40880-016-0092-4
Pubmed ID
Authors

Zhen Qin, Vladimir A. Ljubimov, Cuiqi Zhou, Yunguang Tong, Jimin Liang

Abstract

Cancer is a common cause of death worldwide. Despite significant advances in cancer treatments, the morbidity and mortality are still enormous. Tumor heterogeneity, especially intratumoral heterogeneity, is a significant reason underlying difficulties in tumor treatment and failure of a number of current therapeutic modalities, even of molecularly targeted therapies. The development of a virtually noninvasive "liquid biopsy" from the blood has been attempted to characterize tumor heterogeneity. This review focuses on cell-free circulating tumor DNA (ctDNA) in the bloodstream as a versatile biomarker. ctDNA analysis is an evolving field with many new methods being developed and optimized to be able to successfully extract and analyze ctDNA, which has vast clinical applications. ctDNA has the potential to accurately genotype the tumor and identify personalized genetic and epigenetic alterations of the entire tumor. In addition, ctDNA has the potential to accurately monitor tumor burden and treatment response, while also being able to monitor minimal residual disease, reducing the need for harmful adjuvant chemotherapy and allowing more rapid detection of relapse. There are still many challenges that need to be overcome prior to this biomarker getting wide adoption in the clinical world, including optimization, standardization, and large multicenter trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
Sweden 1 <1%
Russia 1 <1%
Ireland 1 <1%
Unknown 314 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 17%
Student > Bachelor 49 15%
Student > Ph. D. Student 44 14%
Student > Master 40 13%
Other 26 8%
Other 36 11%
Unknown 70 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 85 27%
Medicine and Dentistry 55 17%
Agricultural and Biological Sciences 46 14%
Engineering 12 4%
Pharmacology, Toxicology and Pharmaceutical Science 10 3%
Other 29 9%
Unknown 81 25%