Optimization of dosing for EGFR-mutant non-small cell lung cancer with evolutionary cancer modeling.
Optimization of dosing for EGFR-mutant non-small cell lung cancer with evolutionary cancer modeling.
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DOI:
10.1126/scitranslmed.3002356
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发表时间:
2011-07-06
影响因子:
17.1
通讯作者:
Pao W
中科院分区:
文献类型:
--
作者:
Chmielecki J;Foo J;Oxnard GR;Hutchinson K;Ohashi K;Somwar R;Wang L;Amato KR;Arcila M;Sos ML;Socci ND;Viale A;de Stanchina E;Ginsberg MS;Thomas RK;Kris MG;Inoue A;Ladanyi M;Miller VA;Michor F;Pao W
Non–small cell lung cancers (NSCLCs) that harbor mutations within the epidermal growth factor receptor (EGFR) gene are sensitive to the tyrosine kinase inhibitors (TKIs) gefitinib and erlotinib. Unfortunately, all patients treated with these drugs will acquire resistance, most commonly as a result of a secondary mutation within EGFR (T790M). Because both drugs were developed to target wild-type EGFR, we hypothesized that current dosing schedules were not optimized for mutant EGFR or to prevent resistance. To investigate this further, we developed isogenic TKI-sensitive and TKI-resistant pairs of cell lines that mimic the behavior of human tumors. We determined that the drug-sensitive and drug-resistant EGFR-mutant cells exhibited differential growth kinetics, with the drug-resistant cells showing slower growth. We incorporated these data into evolutionary mathematical cancer models with constraints derived from clinical data sets. This modeling predicted alternative therapeutic strategies that could prolong the clinical benefit of TKIs against EGFR-mutant NSCLCs by delaying the development of resistance.
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影响因子:
17.1
作者:
Chmielecki J;Foo J;Oxnard GR;Hutchinson K;Ohashi K;Somwar R;Wang L;Amato KR;Arcila M;Sos ML;Socci ND;Viale A;de Stanchina E;Ginsberg MS;Thomas RK;Kris MG;Inoue A;Ladanyi M;Miller VA;Michor F;Pao W
通讯作者:
Pao W
影响因子:
158.5
作者:
Lynch, TJ;Bell, DW;Haber, DA
通讯作者:
Haber, DA
影响因子:
4.3
作者:
Foo J;Michor F
通讯作者:
Michor F
DOI:
10.1158/1078-0432.ccr-10-2277
发表时间:
2011-03-01
期刊:
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子:
--
作者:
Arcila ME;Oxnard GR;Nafa K;Riely GJ;Solomon SB;Zakowski MF;Kris MG;Pao W;Miller VA;Ladanyi M
通讯作者:
Ladanyi M
影响因子:
39.2
作者:
GRALLA, RJ;CASPER, ES;GOLBEY, RB
通讯作者:
GOLBEY, RB