Evidence map›Paper›PMID 26770415›Full record

ArticleInternational journal of clinical and experimental medicine2015

Correlation analysis of urine metabolites and clinical staging in patients with ovarian cancer.

Ting Jiang, Yunliang Lin, Haiqin Yin, Shanshan Wang, Qinglei Sun, Peihai Zhang, Wenxiang Bi

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. 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
0.8field-weighted citation impact, top 27% 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, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The role of mMolecular cancer · 2021
    Review
  9. Review
  10. Review
  11. Article
  12. Ovarian Cancer Biomarkers: Moving Forward in Early Detection.Advances in experimental medicine and biology · 2020
    Review
  13. Article
  14. Article
  15. Review
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 1 institution in 1 country.

Ting JiangThe Food and Drug Testing Room of Analysis and Testing Center of Shandong Province Jinan 250014, P. R. China.
Yunliang LinThe Food and Drug Testing Room of Analysis and Testing Center of Shandong Province Jinan 250014, P. R. China.
Haiqin YinDepartment of Obstetrics and Gynecology, Central Hospital of Jinan 250013 P. R. China.
Shanshan WangThe Food and Drug Testing Room of Analysis and Testing Center of Shandong Province Jinan 250014, P. R. China.
Qinglei SunThe Food and Drug Testing Room of Analysis and Testing Center of Shandong Province Jinan 250014, P. R. China.
Peihai ZhangDepartment of Obstetrics and Gynecology, Qilu Hospital, Shandong University Jinan 250012, P. R. China.
Wenxiang BiDepartment of Biochemistry and Molecular Biology, Medical College, Shandong University Jinan 250012, P. R. China.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study is to investigate the correlation between urine metabolites and clinical staging in patients with ovarian cancer. The urina sanguinis from 56 cases of primary epithelial ovarian cancer patients and 15 healthy volunteers was collected and the urine metabolites were extracted. Ultra high performance liquid chromatography/time-of-flight mass spectrometry (UPLC-Q-TOF-MS) analysis was performed. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to analyze the mass spectrometry data. Database retrieval and comparison of the screened metabolites were performed and one-way ANOVA and least significant difference (LSD) t test were carried out. PCA analysis of UPLC-Q-TOF-MS results showed that the score plots of samples from healthy people and patients with ovarian cancer at different clinical stages were separated. Further PLS-DA analysis significantly improved the classification results. The R(2)X was 0.757, the R(2)Y was 0.977 and the Q(2)Y was 0.87, indicating that the model stability and predictability were good. Eight metabolites, including N-acetylneuraminic acid-9-phosphate, 5'-methioadenosine, uric acid-3-nucleoside, pseudouridine, L-valine, succinic acid, L-proline and β-nicotinamide mononucleotide were identified. The contents of these metabolites increased with the development of the disease. There was correlation between urine metabolites and clinical staging in patients with ovarian cancer.

Indexed as

metabonomicsOvarian cancerstagingultra high performance liquid chromatography/time-of-flight mass spectrometryurine

Identifiers

PMID26770415
PMCPMC4694315
OpenAlexW2413772417

What OpenQuestion holds

Textmetadata
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.