Evidence map›Paper›PMID 31966065›Full record

ArticleOncology letters2020

Evaluation of heavy metals and metabolites in the urine of patients with breast cancer.

Yuhao Men, Ling Li, Fen Zhang, Xueyuan Kong, Weidong Zhang, Chongli Hao, Guotian Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.0field-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, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Heavy metals in biological samples of cancer patients: a systematic literature review.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Breast Cancer Exposomics.Life (Basel, Switzerland) · 2024
    Review
  10. Article
  11. Article
  12. 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
  13. Article
  14. Review
  15. Review
  16. Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.International journal of molecular sciences · 2021
    Review
  17. Article
  18. 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 3 institutions in 1 country.

Yuhao MenDepartment of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China.
Ling LiDepartment of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China.
Fen ZhangDepartment of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China.
Xueyuan KongDepartment of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China.
Weidong ZhangDepartment of Animal Breeding, College of Animal Sciences and Technology, Qingdao Agricultural University, Qingdao, Shandong 266109, P.R. China.
Chongli HaoDepartment of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China.
Guotian WangDepartment of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China.
Jining Medical University · CNTengzhou Central People's Hospital · CNQingdao Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiologic studies demonstrated that the environment serves a crucial role in cancer development. Heavy metals, including arsenic (As), cadmium (cd), chromium (Cr), lead and mercury, are considered to be carcinogens or co-carcinogens. Furthermore, Cd has been detected in breast cancer (BC) tissue at high concentrations. The present study aimed to investigate the correlation between heavy metals detected in urine and urine metabolome of patients with BC, and their association with cancer development. Nuclear magnetic resonance was used to determine urine metabolites and an inductively coupled plasma mass spectrometry system was used to detect heavy metals in urine samples. The results demonstrated that Cd was markedly increased in the urine of patients with BC compared with the control population (approximately 2-fold). Cr and As were also increased in the urine of patients with BC. In addition, numerous small molecule metabolites were altered in the urine of patients with BC compared with the control population. This study also demonstrated that alterations in small molecule metabolites in the urine of patients with BC were very similar to results from a previous report. These findings indicated that environmental exposure to Cd, As, or Cr could influence the urine levels of metabolites, which may be involved in BC development. Further investigation is therefore required to examine a larger range of samples from different countries or areas in order to understand the impact of heavy metals on metabolism and BC development.

Indexed as

breast cancerheavy metalsmetabolomeurine

Identifiers

PMID31966065
PMCPMC6956222
OpenAlexW2995913439

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.