Evidence map›Paper›PMID 25628954›Full record

ArticleAmerican journal of cancer research2015

Associations between S-adenosylmethionine, S-adenosylhomocysteine, and colorectal adenoma risk are modified by sex.

Martha J Shrubsole, Conrad Wagner, Xiangzhu Zhu, Lifang Hou, Lioudmila V Loukachevitch, Reid M Ness, Wei Zheng

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
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 3 institutions in 1 country.

Martha J ShrubsoleDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine Nashville, TN, USA ; Vanderbilt Epidemiology Center Nashville, TN, USA ; Vanderbilt-Ingram Cancer Center Nashville, TN, USA ; Geriatric, Research, Education and Clinical Center (GRECC), Department of Veterans Affairs, Tennessee Valley Healthcare System Nashville, TN, USA.
Conrad WagnerDepartment of Biochemistry, Vanderbilt University School of Medicine Nashville, TN, USA.
Xiangzhu ZhuDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine Nashville, TN, USA ; Vanderbilt Epidemiology Center Nashville, TN, USA.
Lifang HouDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine Chicago, IL, USA.
Lioudmila V LoukachevitchDepartment of Biochemistry, Vanderbilt University School of Medicine Nashville, TN, USA.
Reid M NessGeriatric, Research, Education and Clinical Center (GRECC), Department of Veterans Affairs, Tennessee Valley Healthcare System Nashville, TN, USA ; Division of Gastroenterology, Department of Medicine, Vanderbilt University School of Medicine Nashville, TN, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine Nashville, TN, USA ; Vanderbilt Epidemiology Center Nashville, TN, USA ; Vanderbilt-Ingram Cancer Center Nashville, TN, USA ; Geriatric, Research, Education and Clinical Center (GRECC), Department of Veterans Affairs, Tennessee Valley Healthcare System Nashville, TN, USA.
Vanderbilt University · USNorthwestern University · USVA Tennessee Valley Healthcare System · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Understanding and Controlling p120 Dysfunction in CRCP50CA095103 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2002 to 2017
$33.6M
Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
Tumor Markers and Recurrent Adenomas: A Follow-up StudyR01CA097386 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2002 to 2006
$3.6M
TISSUE STORES OF FOLATE: DIETARY CONTROL AND ASSAYR01DK015289 · NIDDK · VANDERBILT UNIVERSITY · PI WAGNER, CONRAD · 1987 to 2013
$3.1M
Folate and S-adenosyimethionine in Methyl Group and One-carbon MetabolismR01DK080010 · NIDDK · VANDERBILT UNIVERSITY · PI WAGNER, CONRAD · 2009 to 2012
$1.4M
Diet, Genetics, Epigenetics and Colorectal Adenoma Risk.K07CA122451 · NCI · VANDERBILT UNIVERSITY · PI SHRUBSOLE, MARTHA J. · 2007 to 2011
$655k
Biomarkers of Methionine Metabolism and Risk for Colorectal AdenomaR03CA139587 · NCI · VANDERBILT UNIVERSITY · PI SHRUBSOLE, MARTHA J. · 2009 to 2010
$155k
NCI NIH HHS K07 CA122451NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA095103NCI NIH HHS R01 CA097386NCI NIH HHS R03 CA139587NIDDK NIH HHS P30 DK058404NIDDK NIH HHS R01 DK015289NIDDK NIH HHS R01 DK080010
6 · The paper itself

Abstract

Methionine metabolism is an important component of one-carbon metabolism. S-adenosylmethionine (SAM), the methyl donor for nearly all methylation reactions, is irreversibly converted to S-adenosylhomocysteine (SAH), an inhibitor of methyltransferases, some of which are key enzymes for methylation. Changes in DNA methylation are common in colorectal cancers. We evaluated plasma SAM and SAH with colorectal adenoma risk in a matched case-control study conducted among individuals undergoing routine colonoscopy. 216 cases were individually matched to polyp-free controls in a 1:1 ratio on age (± 5 years), sex, race (white/non-white), study site (academic medical center/VA hospital) and date of sample collection (± 60 days). Sex-specific quantiles were evaluated based on the control distribution due to vastly different metabolite levels by sex. Conditional logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Among males, both higher SAM (OR = 0.38, 95% CI: 0.18-0.77, p for trend = 0.007) and higher SAH (OR = 0.45, 95% CI: 0.22-0.91, p for trend = 0.02) were associated with statistically significantly decreased risks of colorectal adenoma in comparison to lowest plasma SAM or SAH tertile. Conversely, among females, both higher SAM and higher SAH were associated with increased risk of colorectal adenoma, which was statistically significant for SAH (OR = 5.18, 95% CI: 1.09-24.62, p for trend = 0.04). The difference in these associations between men and women was statistically significant (p < 0.05). The ratio of SAM/SAH was not associated with colorectal adenoma risk among males or females. These findings suggest SAM and SAH may be involved in the development of colorectal adenoma and the association may be modified by sex.

Indexed as

biomarkercolorectal adenomaepidemiologyMethionineS-adenosylhomocysteineS-adenosylmethioninesex difference

Identifiers

PMID25628954
PMCPMC4300688
OpenAlexW1686433163

What OpenQuestion holds

Textmetadata
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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.