Evidence map›Paper›PMID 35012583›Full record

ArticleBioData mining2022

Polymorphisms in the mTOR-PI3K-Akt pathway, energy balance-related exposures and colorectal cancer risk in the Netherlands Cohort Study.

Colinda C J M Simons, Leo J Schouten, Roger W L Godschalk, Frederik-Jan van Schooten, Monika Stoll, Kristel Van Steen, Piet A van den Brandt, Matty P Weijenberg

Abstract read
In one paragraph

Article in BioData mining, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Colinda C J M SimonsDepartment of Epidemiology, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands. colinda.simons@maastrichtuniversity.nl.
Leo J SchoutenDepartment of Epidemiology, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands.
Roger W L GodschalkDepartment of Pharmacology and Toxicology, NUTRIM - School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands.
Frederik-Jan van SchootenDepartment of Pharmacology and Toxicology, NUTRIM - School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands.
Monika StollInstitute of Human Genetics, Genetic Epidemiology, University of Münster, Münster, Germany.
Kristel Van SteenGIGA-R Medical Genomics - BIO3, University of Liège, Liège, Belgium.
Piet A van den BrandtDepartment of Epidemiology, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands.
Matty P WeijenbergDepartment of Epidemiology, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands.

Funding

biobanking and biomolecular research infrastructure netherlands biobanking and biomolecular research infrastructure netherlandshealth foundation limburg health foundation limburgworld cancer research fund 2012/618world cancer research fund 2013/673
6 · The paper itself

Abstract

backgroundThe mTOR-PI3K-Akt pathway influences cell metabolism and (malignant) cell growth. We generated sex-specific polygenic risk scores capturing natural variation in 7 out of 10 top-ranked genes in this pathway. We studied the scores directly and in interaction with energy balance-related factors (body mass index (BMI), trouser/skirt size, height, physical activity, and early life energy restriction) in relation to colorectal cancer (CRC) risk in the Netherlands Cohort Study (NLCS) (n=120,852). The NLCS has a case-cohort design and 20.3 years of follow-up. Participants completed a baseline questionnaire on diet and cancer in 1986 when 55-69 years old. ~75% of the cohort returned toenail clippings used for DNA isolation and genotyping (n subcohort=3,793, n cases=3,464). To generate the scores, the dataset was split in two and risk alleles were defined and weighted based on sex-specific associations with CRC risk in the other dataset half, because there were no SNPs in the top-ranked genes associated with CRC risk in previous genome-wide association studies at a significance level p<1*10

resultsCox regression analyses showed positive associations between the sex-specific polygenic risk scores and colon but not rectal cancer risk in men and women, with hazard ratios for continuously modeled scores close to 1.10. There was no modifying effect observed of the scores on associations between the energy balance-related factors and CRC risk. However, BMI (in men), non-occupational physical activity (in women), and height (in men and women) were associated with the risk of CRC, in particular (proximal and distal) colon cancer, in the direction as expected in the lower tertiles of the sex-specific polygenic risk scores.

conclusionsCurrent data suggest that the mTOR-PI3K-Akt pathway may be involved in colon cancer development. This study thereby sheds more light on colon cancer etiology through use of genetic variation in the mTOR-PI3K-Akt pathway.

Indexed as

Body sizeCohort studiesColorectal neoplasmsMechanistic target of rapamycinPolymorphisms

Identifiers

PMID35012583
PMCPMC8751328

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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.