| Title |
Association between MutL homolog 1 polymorphisms and the risk of colorectal cancer: a meta-analysis
|
|---|---|
| Published in |
Journal of Cancer Research and Clinical Oncology, May 2015
|
| DOI | 10.1007/s00432-015-1976-4 |
| Pubmed ID | |
| Authors |
Haiyan Chen, Zhujing Shen, Yeting Hu, Qian Xiao, Dikai Bei, Xiangfeng Shen, Kefeng Ding |
| Abstract |
As one of the most essential components of mismatch repair system, MutL homolog 1 (MLH1) plays an increasingly implicated role in initiation and promotion of colorectal carcinogenesis, with germ-line mutations in different loci. However, whether a single genetic variant in MLH1 could predict the risk of cancer was still under doubt and recent studies yielded inconsistent results. Therefore, this meta-analysis aimed at investigating the association between MLH1 single-nucleotide polymorphisms (SNPs) and colorectal cancer (CRC) risks. A systematic literature search of PubMed, MEDLINE, Web of Science and BIOSIS databases was performed to obtain all available SNPs and studies. We focused on three SNPs (rs1800734, rs1799977 and rs63750448) with the most included studies and conducted overall and subgroup analyses after data extraction. A total of 37,347, 29,114 and 2722 patients in case and control groups were meta-analyzed in four genetic models (AA vs. BB, AB vs. BB, AA+AB vs. BB and AA vs. BB+AB) for each SNP. The overall results suggested that the mutation in rs63750447 predicted a higher CRC risk (AB vs. BB: OR 2.283, 95 % CI 1.612-3.232, P = 0.000; AA+AB vs. BB: OR 2.291, 95 % CI 1.618-3.244, P = 0.000), while rs1800734 and rs1799977 were not associated with CRC risks. Subgroup analysis according to study area, quality score and genotyping technique revealed the similar results. As the first meta-analysis reporting the association between rs63750448 and CRC risk, the A allele substitution might be a risk factor for CRC. Additionally, there was no persuasive evidence showing that SNPs of rs1800734 and rs1799977 were related to CRC susceptibility. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 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 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 % |
|---|---|---|
| Student > Bachelor | 3 | 16% |
| Student > Ph. D. Student | 3 | 16% |
| Researcher | 3 | 16% |
| Student > Master | 3 | 16% |
| Lecturer | 2 | 11% |
| Other | 2 | 11% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 32% |
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Agricultural and Biological Sciences | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 3 | 16% |
Attention Score in Context
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#19,221,261
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Outputs from Journal of Cancer Research and Clinical Oncology
#1,814
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#194,891
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Outputs of similar age from Journal of Cancer Research and Clinical Oncology
#12
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