Evidence map›Paper›PMID 33010726›Full record

ArticleCancer epidemiology2020

Validation of plasma metabolites associated with breast cancer risk among Mexican Americans.

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

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 2 countries.

Hua ZhaoDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States; Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, 23284, United States. Electronic address: hua.zhao@vcuhealth.org.
Jie ShenDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States; Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, 23284, United States.
Yuanqing YeDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States; Department of Precision Health and DataScience, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, PR China.
Xifeng WuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States; Department of Precision Health and DataScience, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, PR China.
Francisco J EstevaPerlmutter Cancer Center at New York University Langone Health, New York, NY, 10016, United States.
Debasish TripathyBreast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States.
Wong-Ho ChowDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States.
The University of Texas MD Anderson Cancer Center · USSecond Affiliated Hospital of Zhejiang University · CNNYU Langone Health · USVirginia Commonwealth University · US

Funding

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 U01 CA179655
6 · The paper itself

Abstract

In our previous breast cancer case control study in Hispanics, we found 14 metabolites whose levels differed between cases and controls. To validate the results, we carried out a nested case control study of 100 incident breast cancer and 100 matched healthy women identified from the Mano-A-Mano Mexican American Cohort study. With the adjustment of parity, education, birth place, language acculturation, BMI category, smoking, drinking, physical activity, and sitting time, 4 metabolites were associated with breast cancer risk: 3-hydroxyoctanoate (Odds ratio (OR) = 1.51, 95% confidence interval (CI): 1.10, 3.47), 3-hydroxybutyrate (BHBA) (OR = 1.42, 95%CI: 1.01, 3.72), linoleate (18:2n6) (OR = 1.39, 95% CI: 1.07, 4.04), and bilirubin (OR = 0.54, 95%CI: 0.42, 0.95). Then, we used 3 non-redundant metabolites, namely 3-hydroxyoctanoate, linoleate (18:2n6), and bilirubin, to generate a metabolic risk score. Increased metabolites risk score was associated with a 1.67-fold increased risk of breast cancer (OR = 1.67, 95%CI: 1.32, 3.94). And the significant association was more evident among those who were diagnosed with cancer earlier during the follow-up (≤ 5 years) than their counterparts. In conclusion, we identified four significant metabolites which may help elucidate metabolic pathways that contribute to breast carcinogenesis. Our findings warrant further replication efforts.

Indexed as

Breast NeoplasmsCase-Control StudiesCohort StudiesFemaleHumansMexican AmericansMiddle AgedPlasmaBreast cancerMetabolomicsMexican americans

Identifiers

PMID33010726
PMCPMC7710579
OpenAlexW3089389690

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.