Evidence map›Paper›PMID 23509802›Full record

ReviewBioMed research international2013

Ovarian cancer stem cells: a new target for cancer therapy.

Qinglei Zhan, Chunmei Wang, Saiming Ngai

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Wnt antagonist as therapeutic targets in ovarian cancer.The international journal of biochemistry & cell biology · 2022
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Ovarian cancer stem cells and targeted therapy.Journal of ovarian research · 2019
    Review
  14. Article
  15. Presence and role of stem cells in ovarian cancer.World journal of stem cells · 2019
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

3 authors at 1 institution in 1 country.

Qinglei ZhanSchool of Life Sciences, The Chinese University of Hong Kong, New Territories, Hong Kong.
Chunmei Wang
Saiming Ngai
Chinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is a highly lethal disease among all gynecologic malignancies and is the fifth leading cause of cancer-related death in women. Although the standard combination of surgery and chemotherapy was initially effective in patients with ovarian cancer, disease relapse commonly occurred due to the generation of chemoresistance. It has been reported that cancer stem cells (CSCs) are involved in drug resistance and cancer recurrence. Over the past decades, increasing studies have been done to identify CSCs from human ovarian cancer cells. The present paper will summarize different investigations on ovarian CSCs, including isolation, mechanisms of chemoresistance, and therapeutic approaches. Although there are still numerous challenges to translate basic research to clinical applications, understanding the molecular details of CSCs is essential for developing effective strategies to prevent ovarian cancer and its recurrence.

Indexed as

BiomarkersDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticGlutathioneHumansMicroRNAsNeoplastic Stem CellsOvarian NeoplasmsOvaryPolycomb Repressive Complex 1RecurrenceTumor Suppressor Protein p53BiomarkersBMI1 protein, humanGlutathioneMicroRNAsPolycomb Repressive Complex 1TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID23509802
PMCPMC3581273
OpenAlexW2075404238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.