Evidence map›Paper›PMID 29436067›Full record

ArticleCancer science2018

Identification and functional analyses of differentially expressed metabolites in early stage endometrial carcinoma.

Kun Shi, Qiong Wang, Yao Su, Xingcui Xuan, Yaqiong Liu, Weiwei Chen, Yuanmin Qian, Gendie E Lash

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Uterine CommensalBiomedicines · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Grading of endometrial cancer usingScientific reports · 2021
    Article
  9. Observational
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
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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 2 institutions in 1 country.

Kun ShiDepartment of Gynecology and Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou, China.ORCID http://orcid.org/0000-0002-9183-1306
Qiong WangDepartment of Gynecology and Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou, China.
Yao SuDepartment of Gynecology and Obstetrics, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xingcui XuanDepartment of Gynecology and Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou, China.
Yaqiong LiuDepartment of Gynecology and Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou, China.
Weiwei ChenDepartment of Gynecology and Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou, China.
Yuanmin QianDepartment of Gynecology and Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou, China.
Gendie E LashDivision of Uterine Vascular Biology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou, China.
Guangzhou Women and Children Medical Center · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of endometrial cancer is primarily based on symptoms and imaging, with early-stage disease being difficult to diagnose. Therefore, development of potential diagnostic biomarkers is required. Metabolomics, a quantitative measurement of the dynamic metabolism in living systems, can be applied to determine metabolite profiles in different disease states. Here, serum metabolomics was performed in 46 early stage endometrial cancer patients and 46 healthy volunteers. In addition, the effect of identified metabolites on tumor cell behavior (invasion, migration, proliferation, apoptosis and autophagy) was examined in endometrial cancer cell lines. Compared with controls, phenylalanine, indoleacrylic acid (IAA), phosphocholine and lyso-platelet-activating factor-16 (lyso-PAF) were differentially detected in patients. Functional analyses demonstrated that IAA, PAF and phenylalanine all dose-dependently inhibited tumor cell invasion and migration, and suppressed cell proliferation. PAF also induced tumor cell apoptosis and autophagy, while phenylalanine had no effect on apoptosis or autophagy. IAA triggered apoptosis and had a biphasic effect on autophagy: inhibiting autophagy with doses <1 mmol/L but inducing at 1 mmol/L. Interestingly, the alterations in proliferation, apoptosis and autophagy caused by 1 mmol/L IAA, were all reversed by the concomitant treatment of tryptophan (100 μmol/L). Phosphocholine inhibited tumor cell invasion and migration, and promoted cell proliferation and autophagy, all in a dose-dependent manner. Phosphocholine also protected cells from TNF-α-induced apoptosis. In conclusion, 4 serum metabolites were identified by serum metabolomics in endometrial cancer patients and functional analyses suggested that they may play roles in modulation of tumor cell behavior, although their exact mode of action still needs to be determined.

Indexed as

ApoptosisAutophagyCell Line, TumorCell MovementCell ProliferationEndometrial NeoplasmsFemaleHumansIndolesMetabolomeMetabolomicsMiddle AgedNeoplasm InvasivenessPhenylalaninePlatelet Activating FactorTryptophanindoleacrylic acidIndolesO-deacetyl platelet activating factorPhenylalaninePlatelet Activating FactorTryptophanTumor Necrosis Factor-alphaendometrial cancerindoleacrylic acidphenylalaninephosphocholineplatelet-activating factor-16

Identifiers

PMID29436067
PMCPMC5891202
OpenAlexW2789537181

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.