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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A three-gene signature as potential predictive biomarker for irinotecan sensitivity in gastric cancer
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2013
|
| DOI | 10.1186/1479-5876-11-73 |
| Pubmed ID | |
| Authors |
Jie Shen, Jia Wei, Hao Wang, Guofeng Yue, Lixia Yu, Yang, Li Xie, Zhengyun Zou, Xiaoping Qian, Yitao Ding, Wenxian Guan, Baorui Liu |
| Abstract |
OBJECTIVE: Personalized chemotherapy based on molecular biomarkers can maximize anticancer efficiency. We aim to investigate predictive biomarkers capable of predicting response to irinotecan-based treatment in gastric cancer. METHODS: We examined gene expression of APTX, BRCA1, ERCC1, ISG15, Topo1 and methylation of SULF2 in formalin-fixed paraffin-embedded gastric cancer tissues from 175 patients and evaluated the association between gene expression levels or methylation status and in vitro sensitivity to irinotecan. We used multiple linear regression analysis to develop a gene-expression model to predict irinotecan sensitivity in gastric cancer and validated this model in vitro and vivo. RESULTS: Gene expression levels of APTX, BRCA1 and ERCC1 were significantly lower in irinotecan-sensitive gastric cancer samples than those irinotecan-resistant samples (P < 0.001 for all genes), while ISG15 (P = 0.047) and Topo1 (P = 0.002) were significantly higher. Based on those genes, a three-gene signature were established, which was calculated as follows: Index =0.488 - 0.020x expression level of APTX + 0.015x expression level of Topo1 - 0.011 x expression level of BRCA1. The three-gene signature was significantly associated with irinotecan sensitivity (rho = 0.71, P < 0.001). The sensitivity and specificity for the prediction of irinotecan sensitivity based on the three-gene signature reached 73% and 86%, respectively. In another independent testing set, the irinotecan inhibition rates in gastric samples with sensitive-signature were much higher than those with resistant-signature (65% vs. 22%, P < 0.001). Irinotecan therapy with 20 mg/kg per week to immunodeficient mice carrying xenografts with sensitive-signature dramatically arrested the growth of tumors (P < 0.001), but had no effect on mice carrying xenografts with resistant-signature. CONCLUSIONS: The three-gene signature established herein is a potential predictive biomarker for irinotecan sensitivity in gastric cancer. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 34% |
| Student > Master | 5 | 17% |
| Other | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 31% |
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Medicine and Dentistry | 4 | 14% |
| Chemistry | 2 | 7% |
| Computer Science | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 4 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 December 2019.
All research outputs
#6,389,271
of 22,701,287 outputs
Outputs from Journal of Translational Medicine
#981
of 3,969 outputs
Outputs of similar age
#54,040
of 197,452 outputs
Outputs of similar age from Journal of Translational Medicine
#19
of 58 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 197,452 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.