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Mendeley readers
| Title |
Impact of ABCG2 polymorphisms on the clinical outcome of TKIs therapy in Chinese advanced non-small-cell lung cancer patients
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|---|---|
| Published in |
Cancer Cell International, April 2015
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| DOI | 10.1186/s12935-015-0191-3 |
| Pubmed ID | |
| Authors |
Xueqin Chen, Dadong Chen, Shaoyu Yang, Ruobing Ma, Yuelong Pan, Xin Li, Shenglin Ma |
| Abstract |
The primary purpose of this study was to investigate the correlation between single nucleotide polymorphisms (SNPs) of ATP binding cassette superfamily G member 2 (ABCG2) and outcome of tyrosine kinase inhibitions (TKIs) therapy in Chinese advanced non-small-cell lung cancer (NSCLC) patients. The secondary objective was to identify biomarkers to evaluate the response to treatment and outcome of the targeted therapy. SNP genotyping (34 G/A, 421 C/A, 1143 C/T and -15622 C/T) of ABCG2 gene in 100 patients was performed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The clinical characteristics of 100 patients were collected. A total of 70 patients were treated with TKIs (gefitinib, erlotinib and icotinib). The association between ABCG2 polymorphisms and clinical characteristics was evaluated. Kaplan-Meier survival curves were plotted for overall survival (OS) and analyzed with the log-rank test. The three polymorphisms of the ABCG2 34 G/A, 421 C/A and 1143 C/T occurred more frequently compared with -15622 C/T in Chinese advanced NSCLC patients. There was no association between ABCG2 polymorphisms and clinical characteristics (p > 0.05). The median OS of patients with GG genotype at position 34 of the ABCG2 gene was significantly shorter than those with GA or AA genotype (p < 0.05). No significant difference of OS was found in 421 C/A and 1143 C/T polymorphisms (p > 0.05). ABCG2 34 G/A may be a possible predictor of the clinical outcome of TKIs therapy in NSCLC patients. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 21% |
| Student > Ph. D. Student | 5 | 18% |
| Other | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 5 | 18% |
| Unknown | 9 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 32% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 32% |