Title |
Circulating tumor DNA detectable in early- and late-stage colorectal cancer patients
|
---|---|
Published in |
Bioscience Reports, July 2018
|
DOI | 10.1042/bsr20180322 |
Pubmed ID | |
Authors |
Ying-Chi Yang, Dong Wang, Lan Jin, Hong-Wei Yao, Jing-Hui Zhang, Jin Wang, Xiao-Mu Zhao, Chun-Ying Shen, Wei Chen, Xue-Liang Wang, Rong Shi, Si-Yi Chen, Zhong-Tao Zhang |
Abstract |
Characterization, diagnosis, and treatment of colorectal cancers (CRC) are difficult due to limited biopsy information, impracticality of repeated biopsies, and cancer biomarker fallibility. Circulating tumor DNA (ctDNA) has recently been investigated as a non-invasive way to gain representative gene mutations in tumors, in addition to monitoring disease progression and response to treatment. We analyzed ctDNA mutations and concentrations in 47 early- and late-stage CRC patients using a targeted sequencing approach using a panel that covers 50 cancer-related genes. ctDNA mutations in 37 genes ( were identified in 93.6% of the patients (n=47). The results showed that TP53 , PIK3CA , APC , and EGFR were the most frequently mutated genes. Stage IV patients had significantly higher ctDNA concentration than stage I patients, and increased ctDNA concentration correlated with increased tumor size. Additionally, ctDNA detection was found to be a greater predictor of disease when compared to five known commonly used tumor biomarkers. Our study supports the use of ctDNA as a liquid biopsy to gain clinical tumor information that may facilitate early diagnosis and treatment and improve CRC patient prognosis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 84 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 15% |
Student > Bachelor | 12 | 14% |
Student > Master | 10 | 12% |
Student > Ph. D. Student | 8 | 10% |
Student > Doctoral Student | 6 | 7% |
Other | 9 | 11% |
Unknown | 26 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 30% |
Biochemistry, Genetics and Molecular Biology | 16 | 19% |
Agricultural and Biological Sciences | 7 | 8% |
Nursing and Health Professions | 3 | 4% |
Engineering | 3 | 4% |
Other | 2 | 2% |
Unknown | 28 | 33% |