| Title |
Association of cancer stem cell markers genetic variants with gallbladder cancer susceptibility, prognosis, and survival
|
|---|---|
| Published in |
Tumor Biology, August 2015
|
| DOI | 10.1007/s13277-015-3929-6 |
| Pubmed ID | |
| Authors |
Anu Yadav, Annapurna Gupta, Neeraj Rastogi, Sushma Agrawal, Ashok Kumar, Vijay Kumar, Balraj Mittal |
| Abstract |
Genes important to stem cell progression have been involved in the genetics and clinical outcome of cancers. We investigated germ line variants in cancer stem cell (CSC) genes to predict susceptibility and efficacy of chemoradiotherapy treatment in gallbladder cancer (GBC) patients. In this study, we assessed the effect of SNPs in CSC genes (surface markers CD44, ALCAM, EpCAM, CD133) and (molecular markers NANOG, SOX-2, LIN-28A, ALDH1A1, OCT-4) with GBC susceptibility and prognosis. Total 610 GBC patients and 250 controls were genotyped by using PCR-RFLP, ARMS-PCR, and TaqMan allelic discrimination assays. Chemotoxicity graded 2-4 in 200 patients and tumor response was recorded in 140 patients undergoing neoadjuvant chemotherapy (NACT). Differences in genotype and haplotype frequency distributions were calculated by binary logistic regression. Gene-gene interaction model was analyzed by generalized multifactor dimensionality reduction (GMDR). Overall survival was assessed by Kaplan-Meier survival curve and multivariate Cox-proportional methods. ALCAM Ars1157Crs10511244 (P = 0.0035) haplotype was significantly associated with GBC susceptibility. In GMDR analysis, ALCAM rs1157G>A, EpCAM rs1126497T>C emerged as best significant interaction model with GBC susceptibility and ALDH1A1 rs13959T>G with increased risk of grade 3-4 hematological toxicity. SOX-2 rs11915160A>C, OCT-4 rs3130932T>G, and NANOG rs11055786T>C were found best gene-gene interaction model for predicting response to NACT. In both Cox-proportional and recursive partitioning ALCAM rs1157GA+AA genotype showed higher mortality and hazard ratio. ALCAM gene polymorphisms associated with GBC susceptibility and survival while OCT-4, SOX-2, and NANOG variants showed an interactive role with treatment response. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 22% |
| Student > Master | 6 | 19% |
| Other | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 28% |
| Agricultural and Biological Sciences | 8 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Immunology and Microbiology | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 25% |
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 31 August 2015.
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#20,290,425
of 22,826,360 outputs
Outputs from Tumor Biology
#1,834
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Outputs of similar age
#223,577
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Outputs of similar age from Tumor Biology
#126
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