Evidence map›Paper›PMID 24466379›Full record

ArticleTranslational oncology2013

Plasma metabolomic profiles in breast cancer patients and healthy controls: by race and tumor receptor subtypes.

Jie Shen, Li Yan, Song Liu, Christine B Ambrosone, Hua Zhao

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

45 citing papers in PubMed, 71 citations in OpenAlex.

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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.

Jie ShenDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Li YanDepartment of Biostatistics, Roswell Park Cancer Institute, Buffalo, NY.
Song LiuDepartment of Biostatistics, Roswell Park Cancer Institute, Buffalo, NY.
Christine B AmbrosoneDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY.
Hua ZhaoDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Roswell Park Comprehensive Cancer Center · USThe University of Texas MD Anderson Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
MIcroRNA: A Novel Genetic Modifier for Breast Cancer PredispositionR01CA136483 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZHAO, HUA · 2009 to 2012
$2.2M
Mitochondrial: A Novel genetic modifier for breast cancer risk in Caucasian and AR21CA139201 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZHAO, HUA · 2010 to 2011
$341k
Sequencing to Identify Novel Breast Cancer Risk Factors in African American WomenR21CA162218 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI LIU, SONG, ZHAO, HUA · 2011 to 2012
$323k
Mitochondrial DNA heteroplasmy and breast cancer riskR03CA162131 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHEN, JIE, ZHAO, HUA · 2012 to 2013
$153k
NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA136483NCI NIH HHS R03 CA162131NCI NIH HHS R21 CA139201NCI NIH HHS R21 CA162218
6 · The paper itself

Abstract

backgroundA few studies in the last several years have shown that metabolomics, the study of metabolites and small intermediate molecules, may help better understand the breast carcinogenesis. However, breast cancer is a heterogeneous disease with different subtypes. Additionally, there is a significant racial difference in terms of breast cancer incidence and mortality. Few, if any, metabolomics studies in breast cancer have considered race and tumor subtypes in the study design.

methodsWe performed a global metabolomic profiling using mass spectrometry and samples from 60 breast cancer cases and 60 matched controls.

resultsA total of 375 named metabolites were observed, with 117 metabolites whose levels were significantly different between African American and Caucasian American women (P < .05 and q < 0.10) and 78 that differed between breast cancer cases and healthy controls (P < .05 and q < 0.10). Most of those differentiated metabolites belong to amino acids, fatty acids, and lysolipids. In the pathway-based analysis, we found that plasma levels of many amino acids were statistically significantly lower in patients with breast cancer, especially those with triple-negative breast cancer, than healthy controls. However, plasma levels of many FAs related to β-oxidation were statistically significantly higher in patients with breast cancer than healthy controls, suggesting the possibility of altered FA β-oxidation in patients with breast cancer.

conclusionsBecause of small sample size, the clinical usage of the metabolites from this study is unclear. Further validation of those significant metabolites is warranted, especially with the consideration of racial difference.

Identifiers

PMID24466379
PMCPMC3890711
OpenAlexW1971997579

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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.