| Title |
Serum proteomic study on EGFR-TKIs target treatment for patients with NSCLC
|
|---|---|
| Published in |
OncoTargets and therapy, October 2013
|
| DOI | 10.2147/ott.s51887 |
| Pubmed ID | |
| Authors |
Xuan Wu, Wenhua Liang, Xue Hou, Zhong Lin, Hongyun Zhao, Yan Huang, Wenfeng Fang, Yuanyuan Zhao, Jingxun Wu, Yunpeng Yang, Chong Xue, Zhihuang Hu, Jing Zhang, Jianwei Zhang, Yuxiang Ma, Ting Zhou, Tao Qin, Li Zhang |
| Abstract |
Although epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are widely used for EGFR mutated non-small-cell lung cancer (NSCLC) patients, tumor sample availability and heterogeneity of the tumor remain challenging for physicians' selection of these patients. Here, we developed a serum proteomic classifier based on matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) to predict the clinical outcome of patients treated with EGFR-TKIs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 26% |
| Other | 4 | 21% |
| Student > Bachelor | 3 | 16% |
| Researcher | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 37% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Agricultural and Biological Sciences | 2 | 11% |
| Engineering | 2 | 11% |
| Physics and Astronomy | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 2 | 11% |
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 27 November 2013.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#166,055
of 219,852 outputs
Outputs of similar age from OncoTargets and therapy
#21
of 34 outputs
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.