| Title |
Prognostic value of EGFR and KRAS in resected non-small cell lung cancer: a systematic review and meta-analysis
|
|---|---|
| Published in |
Cancer Management and Research, September 2018
|
| DOI | 10.2147/cmar.s167578 |
| Pubmed ID | |
| Authors |
Shi-Ming Zhang, Qing-Ge Zhu, Xiao-Xiao Ding, Song Lin, Jing Zhao, Lei Guan, Ting Li, Bing He, Hu-Qin Zhang |
| Abstract |
The prognostic value of EGFR and KRAS mutations in resected non-small cell lung cancer (NSCLC) has been reported. However, conflicting results were reported in these studies. The effect of mutations in these two genes in resected NSCLC remains controversial. We searched Internet databases for studies reporting disease-free survival (DFS) and overall survival (OS) in resected NSCLC patients with EGFR or KRAS mutations. A meta-analysis calculating the pooled hazard ratio (HR) for DFS and OS was used to measure the association of EGFR or KRAS mutations with the prognosis of patients after surgery. A total of 9,635 patients from 32 studies were included in this analysis. The combined HR for EGFR mutations on DFS was 0.77 (95% CI 0.66-0.90, p=0.001) and on OS was 0.72 (95% CI 0.66-0.80, p<0.00001). In addition, the combined HR for KRAS mutations on DFS was 1.5 (95% CI 1.15-1.96, p=0.002) and on OS was 1.49 (95% CI 1.28-1.73, p<0.00001). Sensitivity analysis, subgroup analysis, and bias analysis proved the stability of the results. The analysis showed that EGFR mutations were significantly associated with DFS and OS. These findings indicated that surgically treated NSCLC patients with EGFR mutations were inclined to exhibit a prolonged DFS and OS. In addition, the results indicated that KRAS mutations predicted worse DFS and OS in patients with resected NSCLC. |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 20% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 3 | 10% |
| Lecturer | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 27% |
| Medicine and Dentistry | 6 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Immunology and Microbiology | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 40% |
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 11 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from Cancer Management and Research
#1,406
of 2,019 outputs
Outputs of similar age
#292,456
of 335,776 outputs
Outputs of similar age from Cancer Management and Research
#79
of 110 outputs
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