| Literature DB >> 20677568 |
Yuli Wang1, Hongyu Liu, Jun Chen.
Abstract
Epidermal growth factor receptor (EGFR) is a major molecular for target therapy. The epidermal growth factor receptor tyrosine kinase inhibitors (TKIs), gefitinib (Iressa) and erlotinib (Tarceva), are two prospective agents towards non-small cell lung cancer (NSCLC). Multi-center clinical studies showed that there were obvious differences between individuals by the treatment of EGFR-TKIs. EGFR status is the major factor that influences the outcome for the treatment by TKI. Exon mutations and amplification of EGFR molecule are the critical factors that predict good response to TKIs. On the other hand, KRAS mutations indicate the resistant to the TKIs.Entities:
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Year: 2010 PMID: 20677568 PMCID: PMC6000430 DOI: 10.3779/j.issn.1009-3419.2010.04.20
Source DB: PubMed Journal: Zhongguo Fei Ai Za Zhi ISSN: 1009-3419
采用PCR方法检测的EGFR突变对TKIs治疗的反应
Studies evaluating the predictive value of EGFR mutation and response to TKIs therapy
| Author | Cases | EGFR(+) | EGFR-mutant patients responsive to TKI therapy | EGFR(-) | EGFR-nonmutant patients responsive to TKI therapy | PPV | NPV |
| PPV: positive predictive value; NPV: negative predictive value. | |||||||
| Yoshida | 100 | 48 | 46 (95.8%) | 52 | 3 (5.8%) | 95.8% | 94.2% |
| Marcello | 63 | 11 | 9 (81.8%) | 52 | 5 (9.6%) | 81.8% | 90.4% |
| Miller | 81 | 18 | 15 (83.3%) | 63 | 4 (6.3%) | 83.3% | 93.7% |
| Hirsch | 204 | 43 | 17 (39.5%) | 113 | 8 (7.1%) | 39.5% | 92.9% |
| Sone | 59 | 17 | 10 (58.8%) | 42 | 6 (14.2%) | 58.8% | 85.8% |
| Ichihara | 98 | 38 | 25 (65.8%) | 60 | 0 | 65.8% | 100% |
| Sasaki | 54 | 26 | 19 (73.1%) | 28 | 6 (21.4%) | 73.1% | 78.5% |
| Pugh | 39 | 8 | 7 (87.5%) | 31 | 4 (12.9%) | 87.5% | 87.1% |
| Cappuzzo | 42 | 24 | 15 (62.5%) | 13 | 3 (23.1%) | 62.5% | 76.9% |
采用FISH方法检测的EGFR扩增对TKIs治疗的反应
Studies evaluating the predictive value of EGFR amplification and polysomy and response to TKI therapy
| Author | Cases | EGFR(+) | EGFR-mutant patients responsive to TKI therapy | EGFR(-) | EGFR-nonmutant patients responsive to TKI therapy | PPV | NPV |
| Varella-Garcia | 44 | 29 | 19 (65.5%) | 15 | 4 (26.7%) | 65.5% | 73.3% |
| Marcello | 54 | 12 | 6 (50%) | 42 | 6(14.3%) | 50% | 85.7% |
| Hirsch | 204 | 59 | 20 (33.9%) | 124 | 7 (5.6%) | 33.9% | 94.4% |
| Sone | 59 | 26 | 8 (30.7%) | 28 | 6 (21.4%) | 30.7% | 78.6% |
| Sasaki | 27 | 12 | 7 (58.3%) | 15 | 7 (46.7%) | 58.3% | 53.3% |
| Pugh | 39 | 10 | 7 (70%) | 29 | 4 (13.8%) | 70% | 86.2% |
| Cappuzzo | 42 | 25 | 17 (68%) | 11 | 1 (9.1%) | 68% | 90.9% |
采用IHC方法检测的EGFR过表达对TKIs治疗的反应
Studies evaluating the predictive value of EGFR overexpression and response to TKI therapy
| Author | Cases | EGFR(+) | EGFR-mutant patients responsive to TKI therapy | EGFR(-) | EGFR-nonmutant patients responsive to TKI therapy | PPV | NPV |
| Marcello | 59 | 45 | 11 (24.4%) | 14 | 1 (7.1%) | 24.4% | 92.9% |
| Hirsch | 204 | 121 | 27 (22.3%) | 82 | 82 (4.9%) | 22.3% | 95.1% |
| Dziadziuszko | 82 | 58 | 12 (20.7%) | 20 | 4 (20%) | 20.7% | 80% |
| Cappuzzo | 42 | 23 | 13 (56.5%) | 11 | 4 (36.4%) | 56.5% | 63.6% |