Evidence map›Paper›PMID 28977860›Full record

ArticleOncotarget2017

Multiple gene-specific DNA methylation in blood leukocytes and colorectal cancer risk: a case-control study in China.

Yupeng Liu, Yibaina Wang, Fulan Hu, Hongru Sun, Zuoming Zhang, Xuan Wang, Xiang Luo, Lin Zhu, Rong Huang, Yan Li and 8 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. DNA hypermethylation ofTranslational cancer research · 2019
    Article
  10. Article
  11. Review
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

18 authors.

Yupeng LiuDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Yibaina WangDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Fulan HuDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Hongru SunDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Zuoming ZhangDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Xuan WangDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Xiang LuoDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Lin ZhuDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Rong HuangDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Yan LiDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Guangxiao LiDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Xia LiDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Shangqun LinDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Fan WangDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Yanhong LiuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Jiesheng RongDepartment of Orthopedics Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Huiping YuanKey Laboratory of Ophthalmology, Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.
Yashuang ZhaoDepartment of Epidemiology, Public Health College, Harbin Medical University, Harbin 150081, Heilongjiang Province, The People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between gene-specific DNA methylation in peripheral blood leukocytes and colorectal cancer (CRC) susceptibility is unclear. In this case-control study, the methylation status of a panel of 10 CRC-related genes in 428 CRC cases and 428 cancer-free controls were detected with methylation-sensitive high-resolution melting analysis. We calculated a weighted methylation risk score (MRS) that comprehensively combined the methylation status of the panel of 10 genes and found that the MRS_10 was significantly associated with CRC risk. Compared with MRS-Low group, MRS-High group and MRS-Medium group exhibited a 6.51-fold (95% CI, 3.77-11.27) and 3.85-fold (95% CI, 2.72-5.45) increased risk of CRC, respectively. Moreover, the CRC risk increased with increasing MRS_10 (

Indexed as

colorectal cancer riskDNA methylationleukocytes

Identifiers

PMID28977860
PMCPMC5617420

What OpenQuestion holds

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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.