Evidence map›Paper›PMID 28123571›Full record

ArticleOncology letters2017

Gambogic acid inhibits the growth of ovarian cancer tumors by regulating p65 activity.

Qiusha Tang, Mudan Lu, Huan Zhou, Daozhen Chen, Lu Liu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. 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
8.2field-weighted citation impact, top 3% 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, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Gambogic acid: A shining natural compound to nanomedicine for cancer therapeutics.Biochimica et biophysica acta. Reviews on cancer · 2020
    Review
  8. Gambogic Acid as a Candidate for Cancer Therapy: A Review.International journal of nanomedicine · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Bioscience reports · 2018
    Article
  15. Gambogic Acid Induces Apoptosis of Non-Small Cell Lung Cancer (NSCLC) Cells by Suppressing Notch Signaling.Medical science monitor : international medical journal of experimental and clinical research · 2018
    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.

Qiusha TangDepartment of Pathology and Pathophysiology, Medical College, Southeast University, Nanjing, Jiangsu 210096, P.R. China.
Mudan LuGenetic Laboratory, Wuxi Hospital for Maternal and Child Health Care, The Affiliated Hospital of Nanjing Medical University, Wuxi, Jiangsu 214002, P.R. China.
Huan ZhouDepartment of Pathology and Pathophysiology, Medical College, Southeast University, Nanjing, Jiangsu 210096, P.R. China.
Daozhen ChenGenetic Laboratory, Wuxi Hospital for Maternal and Child Health Care, The Affiliated Hospital of Nanjing Medical University, Wuxi, Jiangsu 214002, P.R. China.
Lu LiuDepartment of Pathology and Pathophysiology, Medical College, Southeast University, Nanjing, Jiangsu 210096, P.R. China.
Southeast University · CNNanjing Maternity and Child Health Care Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer patients often have poor prognosis, therefore, it is important to search for more effective therapeutic strategies to treat them. Gambogic acid (GA) exhibits an anti-tumor effect through various mechanisms, and has multiple targets in tumor cells. The present study aimed to elucidate the efficacy of GA in the treatment of ovarian cancer both

Indexed as

anti-tumor activitygambogic acidovarian cancerp65 activitytumor proliferation

Identifiers

PMID28123571
PMCPMC5244847
OpenAlexW2557201648

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.