| Title |
Effectiveness of circulating tumor DNA for detection of KRAS gene mutations in colorectal cancer patients: a meta-analysis
|
|---|---|
| Published in |
OncoTargets and therapy, February 2017
|
| DOI | 10.2147/ott.s123954 |
| Pubmed ID | |
| Authors |
Yi-Xin Hao, Qiang Fu, Yan-Yan Guo, Ming Ye, Hui-Xia Zhao, Qi Wang, Xiu-Mei Peng, Qiu-Wen Li, Ru-Liang Wang, Wen-Hua Xiao |
| Abstract |
Circulating tumor DNA (ctDNA) can be identified in the peripheral blood of patients and harbors the genomic alterations found in tumor tissues, which provides a noninvasive approach for detection of gene mutations. We conducted this meta-analysis to investigate whether ctDNA can be used for monitoring KRAS gene mutations in colorectal cancer (CRC) patients. Medline, Embase, Cochrane Library and Web of Science were searched for the included eligible studies in English, and data were extracted for statistical analysis according to the numbers of true-positive (TP), true-negative (TN), false-positive (FP) and false-negative (FN) cases. Sensitivity, specificity and diagnostic odds ratio (DOR) were calculated, and the area under the receiver operating characteristic curve (AUROC) was used to evaluate the diagnostic performance. After independent searching and reviewing, 21 studies involving 1,812 cancer patients were analyzed. The overall sensitivity, specificity and DOR were 0.67 (95% confidence interval [CI] =0.55-0.78), 0.96 (95% CI =0.93-0.98) and 53.95 (95% CI =26.24-110.92), respectively. The AUROC was 0.95 (95% CI =0.92-0.96), which indicated the high diagnostic accuracy of ctDNA. After stratified analysis, we found the higher diagnostic accuracy in subgroup of patients detected in blood sample of plasma. The ctDNA may be an ideal source for detection of KRAS gene mutations in CRC patients with high specificity and diagnostic value. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 22% |
| Student > Master | 4 | 11% |
| Other | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 8 | 22% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 41% |
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Agricultural and Biological Sciences | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 6 | 16% |
Attention Score in Context
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#20,660,571
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Outputs from OncoTargets and therapy
#1,597
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#322,774
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Outputs of similar age from OncoTargets and therapy
#52
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