| Title |
Pharmacogenomics of platinum-based chemotherapy in non-small cell lung cancer: focusing on DNA repair systems
|
|---|---|
| Published in |
Medical Oncology, February 2017
|
| DOI | 10.1007/s12032-017-0905-6 |
| Pubmed ID | |
| Authors |
Yi Xiong, Bi-Yun Huang, Ji-Ye Yin |
| Abstract |
Drug therapy for non-small cell lung cancer consists mainly of platinum-based chemotherapy regimens. However, toxicity, drug resistance, and high risk of death have been seen in the clinic, which means there is a need for optimizing the use of medications. Platinum resistance could be mediated by a series of DNA repair pathways, and therefore, these pathways should be taken into account for optimizing drug using. The goal of pharmacogenomics is to elucidate genetic factors, such as DNA repair genes, which might underlie drug efficacy and effectiveness, and to improve therapeutic effects or guide personalized therapy as well. Here, we reviewed the current knowledge of pharmacogenomic data on DNA repair systems and examined whether they could be further translated into the clinic with evidence-based perspectives. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 19% |
| Student > Ph. D. Student | 10 | 17% |
| Researcher | 7 | 12% |
| Student > Doctoral Student | 2 | 3% |
| Student > Bachelor | 2 | 3% |
| Other | 11 | 19% |
| Unknown | 15 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 28% |
| Medicine and Dentistry | 9 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 10% |
| Agricultural and Biological Sciences | 5 | 9% |
| Nursing and Health Professions | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 16 | 28% |
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 05 March 2017.
All research outputs
#18,536,772
of 22,958,253 outputs
Outputs from Medical Oncology
#805
of 1,301 outputs
Outputs of similar age
#237,753
of 310,165 outputs
Outputs of similar age from Medical Oncology
#18
of 25 outputs
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