| Title |
Association study of genetic variants in estrogen metabolic pathway genes and colorectal cancer risk and survival
|
|---|---|
| Published in |
Archives of Toxicology, May 2018
|
| DOI | 10.1007/s00204-018-2195-y |
| Pubmed ID | |
| Authors |
Shuwei Li, Lisheng Xie, Mulong Du, Kaili Xu, Lingjun Zhu, Haiyan Chu, Jinfei Chen, Meilin Wang, Zhengdong Zhang, Dongying Gu |
| Abstract |
Although studies have investigated the association of genetic variants and the abnormal expression of estrogen-related genes with colorectal cancer risk, the evidence remains inconsistent. We clarified the relationship of genetic variants in estrogen metabolic pathway genes with colorectal cancer risk and survival. A case-control study was performed to assess the association of single-nucleotide polymorphisms (SNPs) in ten candidate genes with colorectal cancer risk in a Chinese population. A logistic regression model and Cox regression model were used to calculate SNP effects on colorectal cancer susceptibility and survival, respectively. Expression quantitative trait loci (eQTL) analysis was conducted using the Genotype-Tissue Expression (GTEx) project dataset. The sequence kernel association test (SKAT) was used to perform gene-set analysis. Colorectal cancer risk and rs3760806 in SULT2B1 were significantly associated in both genders [male: OR = 1.38 (1.15-1.66); female: OR = 1.38 (1.13-1.68)]. Two SNPs in SULT1E1 were related to progression-free survival (PFS) [rs1238574: HR = 1.24 (1.02-1.50), P = 2.79 × 10-2; rs3822172: HR = 1.30 (1.07-1.57), P = 8.44 × 10-3] and overall survival (OS) [rs1238574: HR = 1.51 (1.16-1.97), P = 2.30 × 10-3; rs3822172: HR = 1.53 (1.67-2.00), P = 2.03 × 10-3]. Moreover, rs3760806 was an eQTL for SULT2B1 in colon samples (transverse: P = 3.6 × 10-3; sigmoid: P = 1.0 × 10-3). SULT2B1 expression was significantly higher in colorectal tumor tissues than in normal tissues in the Cancer Genome Atlas (TCGA) database (P < 1.0 × 10-4). Our results indicated that SNPs in estrogen metabolic pathway genes confer colorectal cancer susceptibility and survival. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 17% |
| Student > Bachelor | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 22% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Environmental Science | 1 | 6% |
| Psychology | 1 | 6% |
| Neuroscience | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 50% |
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 17 May 2018.
All research outputs
#15,514,052
of 23,056,273 outputs
Outputs from Archives of Toxicology
#2,016
of 2,653 outputs
Outputs of similar age
#208,604
of 327,737 outputs
Outputs of similar age from Archives of Toxicology
#17
of 28 outputs
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