Evidence map›Paper›PMID 36705562›Full record

ArticleEndocrine-related cancer2023

Genetic variants of glucose metabolism and exposure to smoking in African American breast cancer.

Su Yon Jung, Jeanette C Papp, Eric M Sobel, Matteo Pellegrini, Herbert Yu

Open access · greenAbstract read
In one paragraph

Article in Endocrine-related cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

5 authors at 2 institutions in 1 country.

Su Yon JungTranslational Sciences Section, School of Nursing, University of California Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-0513-1830
Jeanette C PappJonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California, USA.
Eric M SobelDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-1718-0031
Matteo PellegriniDepartment of Molecular, Cell and Developmental Biology, Life Sciences Division, University of California Los Angeles, Los Angeles, California, USA.
Herbert YuCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA.
University of California, Los Angeles · USUniversity of Hawaiʻi at Mānoa · US

Funding

Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
Insulin-Resistance Genetic and Epigenetic Variants and Their Interactions with Lifestyle Factors in Postmenopausal Breast CancerK01NR017852 · NINR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JUNG, SU YON · 2019 to 2021
$289k
NHGRI NIH HHS R01 HG006139NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CNINR NIH HHS K01 NR017852WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

Insulin resistance (IR) is a well-established risk factor for breast cancer (BC) development in African American (AA) postmenopausal women. While obesity and IR are more prevalent in AA than in white women, they are under-represented in genome-wide studies for systemic regulation of IR. By examining 780 genome-wide IR single-nucleotide polymorphisms (SNPs) available in our data, we tested 4689 AA women in a Random Survival Forest framework. With 37 BC-associated lifestyle factors, we conducted a gene-environment interaction analysis to estimate risk prediction for BC with the most influential genetic and behavioral factors and evaluated their combined and joint effects on BC risk. By accounting for variations of individual SNPs in BC in the prediction model, we detected four fasting glucose-associated SNPs in PCSK1, SPC25, ADCY5, and MTNR1B and three lifestyle factors (smoking, oral contraceptive use, and age at menopause) as the most predictive markers for BC risk. Our joint analysis of risk genotypes and lifestyle with smoking revealed a synergistic effect on the increased risk of BC, particularly estrogen/progesterone positive (ER/PR+) BC, in a gene-lifestyle dose-dependent manner. The joint effect of smoking was more substantial in women with prolonged exposure to cigarette smoking and female hormones. The top genome-wide association-SNPs associated with metabolic biomarkers in combination with lifestyles synergistically increase the predictability of invasive ER/PR+ BC risk among AA women. Our findings highlight generically targeted preventive interventions for women who carry particular risk genotypes and lifestyles.

Indexed as

Breast NeoplasmsInsulin ResistanceBlack or African AmericanFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGlucoseHumansPolymorphism, Single NucleotideRisk FactorsSmokingGlucoseAfrican American postmenopausal womenbreast cancerglucose homeostasisoral contraceptiverandom survival forestsmoking

Identifiers

PMID36705562
PMCPMC10095926
OpenAlexW4318263958

What OpenQuestion holds

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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.