| Title |
New utility of an old marker: serum low-density lipoprotein predicts histopathological response of neoadjuvant chemotherapy in locally advanced gastric cancer
|
|---|---|
| Published in |
OncoTargets and therapy, August 2016
|
| DOI | 10.2147/ott.s97061 |
| Pubmed ID | |
| Authors |
Ji-Chun Zhou, Ju-Feng Guo, Rong-Yue Teng, Qin-Chuan Wang, Ji Wang, Qun Wei, Zi-Duo Li, Jian-Guo Shen, Lin-Bo Wang |
| Abstract |
Although the correlation between metabolic abnormality and gastric cancer has been extensively investigated, the question of whether metabolic parameters might influence the efficacy of chemotherapy in locally advanced gastric cancer is still unanswered. In our present study, we investigated the relationship between serum fasting glucose, lipid levels, and histopathological response of neoadjuvant chemotherapy (NAC) in locally advanced gastric cancers. A total of 128 patients were identified from a prospectively maintained database of patients with locally advanced gastric cancer who received NAC between July 2004 and December 2012. Histopathological response after NAC was analyzed according to Becker's tumor-regression grade. Univariate analyses and multivariable regression analyses were performed to determine the correlation between tumor size, differentiation, fasting glucose, lipid levels, and tumor histopathological response after NAC. Univariate analysis revealed that low-density lipoprotein level and total cholesterol, as well as tumor size and differentiation, correlated significantly with histopathological response. Low-density lipoprotein levels and tumor size were found to be independent predictors for histopathological response, according to multivariable regression analyses. In this observational, hypothesis-generating study, serum low-density lipoprotein measurement was found to be useful in predicting chemosensitivity to locally advanced gastric cancer patients undergoing NAC. Incorporation of serum low-density lipoprotein levels into individualized treatment protocols could be considered in clinical practice. |
X Demographics
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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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Postgraduate | 2 | 12% |
| Researcher | 2 | 12% |
| Other | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 24% |
| Unspecified | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 7 | 41% |
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 14 May 2017.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from OncoTargets and therapy
#2,078
of 3,016 outputs
Outputs of similar age
#339,042
of 381,020 outputs
Outputs of similar age from OncoTargets and therapy
#59
of 91 outputs
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