Evidence map›Paper›PMID 30830383›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Analysis of metabolites and metabolic pathways in breast cancer in a Korean prospective cohort: the Korean Cancer Prevention Study-II.

Hye Jin Yoo, Minjoo Kim, Minkyung Kim, Minsik Kang, Keum Ji Jung, Se-Mi Hwang, Sun Ha Jee, Jong Ho Lee

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Plasma metabolomics profiles and breast cancer risk.Breast cancer research : BCR · 2024
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  11. 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
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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

8 authors at 1 institution in 1 country.

Hye Jin YooDepartment of Food and Nutrition, Brain Korea 21 PLUS Project, College of Human Ecology, Yonsei University, Seoul, South Korea.
Minjoo KimResearch Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University, Seoul, South Korea.
Minkyung KimResearch Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University, Seoul, South Korea.
Minsik KangDepartment of Food and Nutrition, Brain Korea 21 PLUS Project, College of Human Ecology, Yonsei University, Seoul, South Korea.
Keum Ji JungInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea.
Se-Mi HwangInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea.
Sun Ha JeeInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea.
Jong Ho LeeDepartment of Food and Nutrition, Brain Korea 21 PLUS Project, College of Human Ecology, Yonsei University, Seoul, South Korea. jhleeb@yonsei.ac.kr.
Yonsei University · KR

Funding

Ministry of Health and Welfare HI14C2686Ministry of Health and Welfare (KR) HI14C2686010116Ministry of Science ICT and Future Planning NRF-2012M3A9C4048762
6 · The paper itself

Abstract

introductionSince blood is in contact with all tissues in the body and is considered to dynamically reflect the body's pathophysiological status, serum metabolomics changes are important and have diagnostic value in early cancer detection.

objectivesIn this prospective study, we investigated the application of metabolomics to differentiate subjects with incident breast cancer (BC) from subjects who remained free of cancer during a mean follow-up period of 7 years with the aim of identifying valuable biomarkers for BC.

methodsBaseline serum samples from 84 female subjects with incident BC (BC group) and 88 cancer-free female subjects (control group) were used. Metabolic alterations associated with BC were investigated via metabolomics analysis of the baseline serum samples using ultra-performance liquid chromatography-linear-trap quadrupole-Orbitrap mass spectrometry.

resultsA total of 57 metabolites were identified through the metabolic analysis. Among them, 20 metabolite levels were significantly higher and 22 metabolite levels were significantly lower in the BC group than in the control group at baseline. Ten metabolic pathways, including amino acid metabolism, arachidonic acid (AA) metabolism, fatty acid metabolism, linoleic acid metabolism, and retinol metabolism, showed significant differences between the BC group and the control group. Logistic regression revealed that the incidence of BC was affected by leucine, AA, prostaglandin (PG)J

conclusionsThis prospective study showed the clinical relevance of dysregulation of various metabolisms on the incidence of BC. Additionally, leucine, AA, PGJ

Indexed as

Metabolic Networks and PathwaysMetabolomeAdultBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChromatography, LiquidFemaleHumansMiddle AgedProspective StudiesRepublic of KoreaTandem Mass SpectrometryBiomarkers, TumorBreast cancerCohortEarly biomarkersMetabolitesMetabolomicsProspective study

Identifiers

PMID30830383
OpenAlexW2805645401

What OpenQuestion holds

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Registered trials

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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.