| 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
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 June 2018.
All research outputs
#18,639,173
of 23,090,520 outputs
Outputs from Bioscience Reports
#1,191
of 1,969 outputs
Outputs of similar age
#253,572
of 329,819 outputs
Outputs of similar age from Bioscience Reports
#36
of 67 outputs
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