Evidence map›Paper›PMID 30771047›Full record

ArticleBreast cancer research and treatment2019

Breast cancer risk in relation to plasma metabolites among Hispanic and African American women.

Hua Zhao, Jie Shen, Steven C Moore, Yuanqing Ye, Xifeng Wu, Francisco J Esteva, Debasish Tripathy, Wong-Ho Chow

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Hua ZhaoDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. hzhao2@mdanderson.org.ORCID http://orcid.org/0000-0002-1629-8695
Jie ShenDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Steven C MooreDivisions of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA.
Yuanqing YeDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Xifeng WuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Francisco J EstevaPerlmutter Cancer Center at New York University Langone Health, New York, NY, 10016, USA.
Debasish TripathyDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, racial Houston, TX, 77030, USA.
Wong-Ho ChowDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
The University of Texas MD Anderson Cancer Center · USNational Cancer Institute · USNYU Langone Health · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Physical Activity, Energy Balance, and CancerZIACP010197 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBANES, DEMETRIUS · 2009 to 2025
$17.5M
Racial/ethnic disparity in breast cancer: can metabolic profiles play a role?U01CA179655 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZHAO, HUA · 2013 to 2017
$1.7M
NCI NIH HHS P30 CA016672NCI NIH HHS U01 CA179655NCI NIH HHS U01CA179655
6 · The paper itself

Abstract

purposeThe metabolic etiology of breast cancer has been explored in the past several years using metabolomics. However, most of these studies only included non-Hispanic White individuals.

methodsTo fill this gap, we performed a two-step (discovery and validation) metabolomics profiling in plasma samples from 358 breast cancer patients and 138 healthy controls. All study subjects were either Hispanics or non-Hispanic African Americans.

resultsA panel of 14 identified metabolites significantly differed between breast cancer cases and healthy controls in both the discovery and validation sets. Most of these identified metabolites were lipids. In the pathway analysis, citrate cycle (TCA cycle), arginine and proline metabolism, and linoleic acid metabolism pathways were observed, and they significantly differed between breast cancer cases and healthy controls in both sets. From those 14 metabolites, we selected 9 non-correlated metabolites to generate a metabolic risk score. Increased metabolites risk score was associated with a 1.87- and 1.63-fold increased risk of breast cancer in the discovery and validation sets, respectively (Odds ratio (OR) 1.87, 95% Confidence interval (CI) 1.50, 2.32; OR 1.63, 95% CI 1.36, 1.95).

conclusionsIn summary, our study identified metabolic profiles and pathways that significantly differed between breast cancer cases and healthy controls in Hispanic or non-Hispanic African American women. The results from our study might provide new insights on the metabolic etiology of breast cancer.

Indexed as

Black or African AmericanHispanic or LatinoMetabolomeAdultBiomarkersBreast NeoplasmsCase-Control StudiesComorbidityDisease SusceptibilityFemaleHumansMetabolic Networks and PathwaysMetabolomicsMiddle AgedOdds RatioRisk AssessmentBiomarkersBreast cancerMetabolomicsRacial minority

Identifiers

PMID30771047
PMCPMC6588417
OpenAlexW2911861369

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.