Evidence map›Paper›PMID 30815821›Full record

ArticleDigestive diseases and sciences2019

CHST7 Gene Methylation and Sex-Specific Effects on Colorectal Cancer Risk.

Haoran Bi, Yupeng Liu, Rui Pu, Tingting Xia, Hongru Sun, Hao Huang, Lei Zhang, Yuanyuan Zhang, Ying Liu, Jing Xu and 2 more

Abstract read
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In one paragraph

Article in Digestive diseases and sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

8 citing papers in PubMed, 10 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

12 authors at 1 institution in 1 country.

Haoran BiDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Yupeng LiuDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Rui PuDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Tingting XiaDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Hongru SunDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Hao HuangDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Lei ZhangDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Yuanyuan ZhangDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Ying LiuDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Jing XuDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Jiesheng RongDepartment of Orthopedics Surgery, The Second Affiliated Hospital of Harbin Medical University, 246, Xuefu Street, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Yashuang ZhaoDepartment of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Nangang District, Harbin, 150081, Heilongjiang Province, People's Republic of China. zhao_yashuang@263.net.ORCID 0000-0002-7425-5773
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundX chromosome aberrations are involved in carcinogenesis and are associated with gender differences in cancer development. Abnormal DNA methylation also contributes to cancer. Carbohydrate Sulfotransferase 7 (CHST7), encoded by the X chromosome, is abnormally expressed during tumor development. However, its impact on colorectal cancer (CRC) and the effect of CHST7 methylation on sex-specific CRC risk remain unclear.

aimsTo investigate the effect of CHST7 methylation in white blood cells on CRC risk and to evaluate its impact on gender-specific differences.

methodsCHST7 methylation in white blood cells was determined using methylation-sensitive high-resolution melting. A propensity score analysis was performed to control potential confounders. Furthermore, extensive sensitivity analyses were applied to assess the robustness of our findings. In addition, we validated the initial findings with a GEO dataset (GSE51032).

resultsCHST7 hypermethylation in white blood cells was associated with an increased CRC risk [odds ratio (OR)

conclusionCHST7 methylation in white blood cells is positively associated with CRC risk, especially in females, and may potentially serve as a blood-based predictive biomarker for CRC risk.

Indexed as

DNA MethylationBiomarkers, TumorCarbohydrate SulfotransferasesCase-Control StudiesColorectal NeoplasmsFemaleHumansMaleMiddle AgedPropensity ScoreRiskSex FactorsSulfotransferasesBiomarkers, TumorCarbohydrate SulfotransferasesSulfotransferasesCHST7Colorectal cancerDNA methylationPropensity scoreSex differenceWhite blood cell

Identifiers

PMID30815821
OpenAlexW2919903715

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.