Evidence map›Paper›PMID 33854378›Full record

ReviewCancer management and research2021

Cellular Mechanism of Gene Mutations and Potential Therapeutic Targets in Ovarian Cancer.

Tao Guo, Xue Dong, Shanli Xie, Ling Zhang, Peibin Zeng, Lin Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.4field-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

32 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Prevalence of BRCA1/2 Mutation in High-Grade Non-Mucinous Ovarian Carcinoma.Asian Pacific journal of cancer prevention : APJCP · 2025
    Observational
  4. Special Issue "Biomarkers and Early Detection Strategies of Ovarian Tumors".International journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Adipocyte Microenvironment in Ovarian Cancer: A Critical Contributor?International journal of molecular sciences · 2023
    Review
  20. Developments in Genetics: Better Management of Ovarian Cancer Patients.International journal of molecular sciences · 2023
    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

6 authors at 2 institutions in 1 country.

Tao GuoDepartment of Gynecology and Obstetrics, West China Second Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Xue DongDepartment of Gynecology, Cheng Du Shang Jin Nan Fu Hospital, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Shanli XieFirst People's Hospital of Guangyuan, Guangyuan, Sichuan, 628000, People's Republic of China.
Ling ZhangDepartment of Gynecology and Obstetrics, Guangyuan Central Hospital, Guangyuan, Sichuan, 628000, People's Republic of China.
Peibin ZengWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Lin ZhangDepartment of Forensic Biology, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Sichuan University · CNThe First People's Hospital of Guangyuan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is a common and complex malignancy with poor prognostic outcome. Most women with ovarian cancer are diagnosed with advanced stage disease due to a lack of effective detection strategies in the early stage. Traditional treatment with cytoreductive surgery and platinum-based combination chemotherapy has not significantly improved prognosis and 5-year survival rates are still extremely poor. Therefore, novel treatment strategies are needed to improve the treatment of ovarian cancer patients. Recent advances of next generation sequencing technologies have both confirmed previous known mutated genes and discovered novel candidate genes in ovarian cancer. In this review, we illustrate recent advances in identifying ovarian cancer gene mutations, including those of TP53, BRCA1/2, PIK3CA, and KRAS genes. In addition, we discuss advances in targeting therapies for ovarian cancer based on these mutated genes in ovarian cancer. Further, we associate between detection of mutation genes by liquid biopsy and the potential early diagnostic value in ovarian cancer.

Indexed as

BRCA1/2gene mutationKRASliquids biopsyovarian cancerPIK3CAtargeted therapyTP53

Identifiers

PMID33854378
PMCPMC8041604
OpenAlexW3139647846

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.