Evidence map›Paper›PMID 25986311›Full record

SynthesisJournal of cancer research and clinical oncology2015

Association between MutL homolog 1 polymorphisms and the risk of colorectal cancer: a meta-analysis.

Haiyan Chen, Zhujing Shen, Yeting Hu, Qian Xiao, Dikai Bei, Xiangfeng Shen, Kefeng Ding

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of cancer research and clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Haiyan ChenThe Key Laboratory of Cancer Prevention and Intervention of China National Ministry of Education, The Key Laboratory of Molecular Biology in Medical Sciences of Zhejiang Province, Cancer Institute, Hangzhou, Zhejiang, China.
Zhujing ShenDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China.
Yeting HuThe Key Laboratory of Cancer Prevention and Intervention of China National Ministry of Education, The Key Laboratory of Molecular Biology in Medical Sciences of Zhejiang Province, Cancer Institute, Hangzhou, Zhejiang, China.
Qian XiaoThe Key Laboratory of Cancer Prevention and Intervention of China National Ministry of Education, The Key Laboratory of Molecular Biology in Medical Sciences of Zhejiang Province, Cancer Institute, Hangzhou, Zhejiang, China.
Dikai BeiThe Key Laboratory of Cancer Prevention and Intervention of China National Ministry of Education, The Key Laboratory of Molecular Biology in Medical Sciences of Zhejiang Province, Cancer Institute, Hangzhou, Zhejiang, China.
Xiangfeng ShenThe Key Laboratory of Cancer Prevention and Intervention of China National Ministry of Education, The Key Laboratory of Molecular Biology in Medical Sciences of Zhejiang Province, Cancer Institute, Hangzhou, Zhejiang, China.
Kefeng DingThe Key Laboratory of Cancer Prevention and Intervention of China National Ministry of Education, The Key Laboratory of Molecular Biology in Medical Sciences of Zhejiang Province, Cancer Institute, Hangzhou, Zhejiang, China. dingkefeng@zju.edu.cn.
Second Affiliated Hospital of Zhejiang University · CNCancer Institute (WIA) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAs 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.

methodsA 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.

resultsA 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.

conclusionsAs 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.

Indexed as

Genetic Predisposition to DiseaseAdaptor Proteins, Signal TransducingCase-Control StudiesColorectal NeoplasmsHumansMutL Protein Homolog 1Nuclear ProteinsPolymorphism, GeneticPrognosisRisk FactorsAdaptor Proteins, Signal TransducingMLH1 protein, humanMutL Protein Homolog 1Nuclear ProteinsColorectal cancerMeta-analysisMLH1Polymorphism

Identifiers

PMID25986311
PMCPMC11823809
OpenAlexW309013417

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.