Genetic Variants in Metabolic Signaling Pathways and Their Interaction with Lifestyle Factors on Breast Cancer Risk: A Random Survival Forest Analysis.

Su Yon Jung, Jeanette C Papp, Eric M Sobel, Zuo-Feng Zhang

Open access · bronzeAbstract read

In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it

0cells of the map it votes in

5citing papers in PubMed, 2 pooled it

0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

A systematic review of prediction models for risk of breast cancer.BMC cancer · 2025
Pooled it
Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020
Pooled it
Associations between Sugar-Sweetened Beverage Intake and Metabolic Syndrome among Postmenopausal Black Women with Obesity and a Family History of Breast Cancer.Cancer research communications · 2026
Article
The Mediterranean Diet and Breast Cancer: A Personalised Approach.Healthcare (Basel, Switzerland) · 2019
Review
Alcohol and Tobacco Use in an Ethnically Diverse Sample of Breast Cancer Patients, Including Sea Island African Americans: Implications for Survivorship.Frontiers in oncology · 2018
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

4 authors at 1 institution in 1 country.

Su Yon JungTranslational Sciences Section, Jonsson Comprehensive Cancer Center, School of Nursing, University of California, Los Angeles, Los Angeles, California. sjung@sonnet.ucla.edu.

Jeanette C PappDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.

Eric M SobelDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.

Zuo-Feng ZhangDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California.

University of California, Los Angeles · US

Funding

NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CWHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C

6 · The paper itself

Abstract

Genetic variants in the insulin-like growth factor-I (IGF-I)/insulin resistance axis may interact with lifestyle factors, influencing postmenopausal breast cancer risk, but these interrelated pathways are not fully understood. In this study, we examined 54 single-nucleotide polymorphisms (SNP) in genes related to IGF-I/insulin phenotypes and signaling pathways and lifestyle factors in relation to postmenopausal breast cancer, using data from 6,567 postmenopausal women in the Women's Health Initiative Harmonized and Imputed Genome-Wide Association Studies. We used a machine-learning method, two-stage random survival forest analysis. We identified three genetic variants (

Indexed as

Life StyleModels, StatisticalPolymorphism, Single NucleotideSignal TransductionAgedBiomarkers, TumorBreast NeoplasmsData Interpretation, StatisticalFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMiddle AgedPostmenopausePrognosisBiomarkers, Tumor

Identifiers

PMID29074537

DOI10.1158/1940-6207.CAPR-17-0143

PMCPMC5754228

OpenAlexW2766732618

What OpenQuestion holds

Textmetadata

LicenceTDM

Read underepoch 390

Registered trials

None linked

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.