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©2013 Baishideng Publishing Group Co.
World J Respirol. Nov 28, 2013; 3(3): 104-109
Published online Nov 28, 2013. doi: 10.5320/wjr.v3.i3.104
Published online Nov 28, 2013. doi: 10.5320/wjr.v3.i3.104
Ref. | EGFR-TKIs | Patient no. | Evaluation timing | EGFR mutation status | Significant association | |||
Mutant | Wild-type | Unknown | PFS or TTP1 | OS | ||||
Takahashi et al[25] | Gefitinib | 20 | 2 d | 12 | 3 | 5 | Yes | NA |
Soto Parra et al[24] | Erlotinib | 23 | 2 d | NA | NA | NA | Yes | No |
Mileshkin et al[23] | Erlotinib | 51 | 2 wk | 4 | 30 | 17 | Yes | Yes |
Zander et al[26] | Erlotinib | 34 | 1 wk | 4 | 24 | 6 | Yes | Yes |
Benz et al[22] | Erlotinib | 22 | 2 wk | 4 | 1 | 17 | Yes1 | Yes |
Bengtsson et al[21] | Erlotinib | 125 | 2 wk | 10 | 90 | 25 | NA | Yes |
- Citation: Sunaga N, Kaira K, Hisada T, Yamada M. FDG-PET for predicting efficacy of EGFR-tyrosine kinase inhibitors in lung cancer. World J Respirol 2013; 3(3): 104-109
- URL: https://www.wjgnet.com/2218-6255/full/v3/i3/104.htm
- DOI: https://dx.doi.org/10.5320/wjr.v3.i3.104