Evidence map›Paper›PMID 31402943›Full record

ArticleOncology letters2019

Metformin improves the sensitivity of ovarian cancer cells to chemotherapeutic agents.

Chen Yang, Nanan Zhao, Dandan Li, Ge Zou, Yan Chen

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Metformin: A Dual-Role Player in Cancer Treatment and Prevention.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Metformin and ovarian cancer: the evidence.Annals of translational medicine · 2020
    Review
  17. Recycling the Purpose of Old Drugs to Treat Ovarian Cancer.International journal of molecular sciences · 2020
    Review
  18. Article
  19. Wise Management of Ovarian Cancer: On the Cutting Edge.Journal of personalized medicine · 2020
    Review
  20. 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

5 authors at 3 institutions in 1 country.

Chen YangSchool of Medicine, Tsinghua University, Beijing 100084, P.R. China.
Nanan ZhaoDepartment of Obstetrics and Gynecology, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei 063000, P.R. China.
Dandan LiDepartment of Obstetrics and Gynecology, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei 063000, P.R. China.
Ge ZouDepartment of Obstetrics and Gynecology, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei 063000, P.R. China.
Yan ChenDepartment of Obstetrics and Gynecology, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei 063000, P.R. China.
North China University of Science and Technology · CNNorth China University of Science and Technology Affiliated Hospital · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is a common tumor of the reproductive system, and primarily responds to cytoreductive surgery and cisplatin (DDP)-based chemotherapy. However, chemoresistance results in high ovarian cancer mortality. Therefore, the aim of the present study was to investigate the effects of metformin on the apoptosis and autophagy of ovarian cancer drug-resistant SKOV3/DDP cells. To do so, MTT assay, flow cytometry, electron microscopy and western blotting were used in the present study. Metformin could inhibit the growth of SKOV3 and SKOV3/DDP cells in a concentration- and time-dependent manner (P<0.05). The half-inhibitory concentration (IC

Indexed as

apoptosisautophagymetforminovarian cancerresistant

Identifiers

PMID31402943
PMCPMC6676676
OpenAlexW2953742768

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.