Evidence map›Paper›PMID 33578791›Full record

ArticleMetabolites2021

A Metabolomics Analysis of Postmenopausal Breast Cancer Risk in the Cancer Prevention Study II.

Steven C Moore, Kaitlyn M Mazzilli, Joshua N Sampson, Charles E Matthews, Brian D Carter, Mary C Playdon, Ying Wang, Victoria L Stevens

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07262593 (Family-Based Meal Timing for Cancer Prevention Among Native Hawaiian and Other Pacific Islanders), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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.

NCT07262593 naterminatednot on this mapstarted 2024, after this paper: background citation

Family-Based Meal Timing for Cancer Prevention Among Native Hawaiian and Other Pacific Islanders: FAMTIME

TypeinterventionalSponsorUniversity of UtahRan2024 to 2024Enrolled2ConditionsCancer PreventionArmsTime Restricted Eating (TRE), Medically Tailored Meals (MTM)
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Plasma metabolomics profiles and breast cancer risk.Breast cancer research : BCR · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Metabolomics analysis of MnORSC advances · 2023
    Article
  15. Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Plasma Metabolomics and Breast Cancer Risk over 20 Years of Follow-up among Postmenopausal Women in the Nurses' Health Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    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

8 authors at 3 institutions in 1 country.

Steven C MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20895, USA.ORCID 0000-0002-8169-1661
Kaitlyn M MazzilliDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20895, USA.
Joshua N SampsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20895, USA.
Charles E MatthewsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20895, USA.
Brian D CarterDepartment of Population Science, American Cancer Society, Atlanta, GA 30303, USA.
Mary C PlaydonCancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA.
Ying WangDepartment of Population Science, American Cancer Society, Atlanta, GA 30303, USA.ORCID 0000-0002-1241-6252
Victoria L StevensDepartment of Population Science, American Cancer Society, Atlanta, GA 30303, USA.
National Cancer Institute · USAmerican Cancer Society · USUniversity of Utah · US

Funding

Physical Activity, Energy Balance, and CancerZIACP010197 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBANES, DEMETRIUS · 2009 to 2025
$17.5M
6 · The paper itself

Abstract

Breast cancer is the most common cancer in women, but its incidence can only be partially explained through established risk factors. Our aim was to use metabolomics to identify novel risk factors for breast cancer and to validate recently reported metabolite-breast cancer findings. We measured levels of 1275 metabolites in prediagnostic serum in a nested case-control study of 782 postmenopausal breast cancer cases and 782 matched controls. Metabolomics analysis was performed by Metabolon Inc using ultra-performance liquid chromatography and a Q-Exactive high resolution/accurate mass spectrometer. Controls were matched by birth date, date of blood draw, and race/ethnicity. Odds ratios (ORs) and 95% confidence intervals (CIs) of breast cancer at the 90th versus 10th percentile (modeled on a continuous basis) of metabolite levels were estimated using conditional logistic regression, with adjustment for age. Twenty-four metabolites were significantly associated with breast cancer risk at a false discovery rate <0.20. For the nine metabolites positively associated with risk, the ORs ranged from 1.75 (95% CI: 1.29-2.36) to 1.45 (95% CI: 1.13-1.85), and for the 15 metabolites inversely associated with risk, ORs ranged from 0.59 (95% CI: 0.43-0.79) to 0.69 (95% CI: 0.55-0.87). These metabolites largely comprised carnitines, glycerolipids, and sex steroid metabolites. Associations for three sex steroid metabolites validated findings from recent studies and the remainder were novel. These findings contribute to growing data on metabolite-breast cancer associations by confirming prior findings and identifying novel leads for future validation efforts.

Indexed as

alcoholbranched-chain amino acidsbreast cancercarnitinesepidemiologyglycerolipidssex steroid hormones

Identifiers

PMID33578791
PMCPMC7916573
OpenAlexW3128844571

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.