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MicroRNA-related single-nucleotide polymorphism of XPO5 is strongly correlated with the prognosis and chemotherapy response in advanced non-small-cell lung cancer patients

Overview of attention for article published in Tumor Biology, September 2015
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Title
MicroRNA-related single-nucleotide polymorphism of XPO5 is strongly correlated with the prognosis and chemotherapy response in advanced non-small-cell lung cancer patients
Published in
Tumor Biology, September 2015
DOI 10.1007/s13277-015-3980-3
Pubmed ID
Authors

Ji-Qun Geng, Xiao-Chen Wang, Long-Fei Li, Jun Zhao, Song Wu, Gui-Ping Yu, Kou-Jun Zhu

Abstract

This study was performed to investigate if the microRNA-related single-nucleotide polymorphisms (miR-SNPs) of XPO5 gene predicted the prognosis and pathological features of advanced non-small-cell lung cancer patients receiving chemotherapy. A total of 131 advanced non-small-cell lung cancer (NSCLC) patients were recruited. MicroRNA (miRNA) binding site prediction software was adopted for the prediction and screening of SNPs in XPO5 and miRNA binding regions. Polymerase chain reaction (PCR) amplification was further performed. Time-dependent survival-free curves were constructed using the Kaplan-Meier technique. Univariate and the multivariate survival analyses were conducted for confirmation of prognostic factor for advanced NSCLC patients receiving chemotherapy. There were no significant differences of SNP distribution frequencies between groups, without statistical significance (P > 0.05). Included clinical pathological features and chemotherapy regimens showed no apparent statistical significance in influencing the curative effect of chemotherapy in advanced NSCLC patients (all P > 0.05). While the objective response rate (ORR) in patients who carried AA and AC genotype was 35.48 and 51.22 %, respectively, with statistically significant difference (P < 0.05). Univariate survival analysis indicated that patients who carried AA genotype showed a significantly lower 5-year survival rate to those who carried AC genotype (P < 0.05). And, considering pathological features, statistical significance was found in patients with different pathological types, lymph node metastasis, differentiation degree, T staging, and pathological staging (all P < 0.05). Multivariate analysis results indicated that the SNP sites of rs11077 might be an independent prognostic factor of advanced NSCLC patients receiving chemotherapy (risk ratio [RR] = 0.346; 95 % confidence interval [95 % CI] = 0.174-0.685, P = 0.002). Other clinical features were all considered to have no apparent effect in influencing the prognostic outcomes of advanced NSCLC patients receiving chemotherapy except lymph node metastasis (P < 0.05). miR-SNP rs11077 of XPO5 may be independently connected with the prognosis and chemotherapy response of advanced NSCLC patients, and patients with AC genotype have relatively improved prognostic outcomes and better curative effect of chemotherapy than those with AA allele of XPO5. Further, lymph node metastasis may be also involved in influencing the prognosis of advanced NSCLC patients.

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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 %
Researcher 6 32%
Student > Ph. D. Student 5 26%
Student > Bachelor 2 11%
Student > Doctoral Student 2 11%
Student > Master 1 5%
Other 0 0%
Unknown 3 16%
Readers by discipline Count As %
Medicine and Dentistry 5 26%
Biochemistry, Genetics and Molecular Biology 3 16%
Agricultural and Biological Sciences 2 11%
Psychology 2 11%
Nursing and Health Professions 1 5%
Other 4 21%
Unknown 2 11%
Attention Score in Context

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 12 September 2015.
All research outputs
#20,291,881
of 22,828,180 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#224,409
of 267,234 outputs
Outputs of similar age from Tumor Biology
#153
of 233 outputs
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