Evidence map›Paper›PMID 25337559›Full record

ReviewJournal of cancer prevention2013

Ovarian cancer biomarker discovery based on genomic approaches.

Jung-Yun Lee, Hee Seung Kim, Dong Hoon Suh, Mi-Kyung Kim, Hyun Hoon Chung, Yong-Sang Song

Abstract readReview
In one paragraph

Review in Journal of cancer prevention, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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  6. Review
  7. Review
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  10. Expression ofInternational journal of clinical and experimental pathology · 2019
    Article
  11. Article
  12. Article
  13. Cancer Salivary Biomarkers for Tumours Distant to the Oral Cavity.International journal of molecular sciences · 2016
    Review
  14. Article
  15. 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

6 authors.

Jung-Yun LeeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine.
Hee Seung KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine.
Dong Hoon SuhDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine.
Mi-Kyung KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine.
Hyun Hoon ChungDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine.
Yong-Sang SongDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine ; Cancer Research Institute, Seoul National University College of Medicine ; Major in Biomodulation, World Class University, Seoul National University, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer presents at an advanced stage in more than 75% of patients. Early detection has great promise to improve clinical outcomes. Although the advancing proteomic technologies led to the discovery of numerous ovarian cancer biomarkers, no screening method has been recommended for early detection of ovarian cancer. Complexity and heterogeneity of ovarian carcinogenesis is a major obstacle to discover biomarkers. As cancer arises due to accumulation of genetic change, understanding the close connection between genetic changes and ovarian carcinogenesis would provide the opportunity to find novel gene-level ovarian cancer biomarkers. In this review, we summarize the various gene-based biomarkers by genomic technologies, including inherited gene mutations, epigenetic changes, and differential gene expression. In addition, we suggest the strategy to discover novel gene-based biomarkers with recently introduced next generation sequencing.

Indexed as

Cancer biomarkerEarly detectionGenesGenomic technologiesOvarian cancer

Identifiers

PMID25337559
PMCPMC4189448

What OpenQuestion holds

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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.