Evidence map›Paper›PMID 27981507›Full record

ReviewCellular oncology (Dordrecht, Netherlands)2017

Emerging diagnostic, prognostic and therapeutic biomarkers for ovarian cancer.

Khalid El Bairi, Abdul Hafeez Kandhro, Adel Gouri, Wafaa Mahfoud, Noureddine Louanjli, Brahim Saadani, Said Afqir, Mariam Amrani

Abstract readReview
In one paragraph

Review in Cellular oncology (Dordrecht, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Ovarian cancer in Morocco: Time to act is now.Gynecologic oncology reports · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Emerging ways to treat breast cancer: will promises be met?Cellular oncology (Dordrecht, Netherlands) · 2018
    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

8 authors.

Khalid El BairiFaculty of Medicine and Pharmacy, Oujda, Morocco. k.elbairi@ump.ac.ma.
Abdul Hafeez KandhroDepartment of Biochemistry, Healthcare Molecular and Diagnostic Laboratory, Hyderabad, Pakistan.
Adel GouriLaboratory of Medical Biochemistry, Ibn Rochd University Hospital, Annaba, Algeria.
Wafaa MahfoudLaboratory of Biology and Health, URAC-34, Faculty of Science Ben Msik, University Hassan II, Mohammedia, Casablanca, Morocco.
Noureddine LouanjliLabomac IVF Centers and Clinical Laboratory Medicine, Casablanca, Morocco.
Brahim SaadaniIVF center IRIFIV, Clinique des Iris, Casablanca, Morocco.
Said AfqirDepartment of Medical Oncology, Mohamed 1st University Hospital, Oujda, Morocco.
Mariam AmraniEquipe de Recherche ONCOGYMA, Faculty of Medicine, Pathology Department, National Institute of Oncology, Université Mohamed V, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn spite of various treatment options currently available, ovarian cancer (OC) still remains a leading cause of death in women world-wide. Diagnosis at an early stage is one of the most important factors that determines survival. Current clinical diagnostic tools have, however, a limited efficacy in early OC detection. Therefore, there is a critical need for new (early) diagnostic biomarkers and tools. Through advances in genomic, proteomic and metabolomic techniques, several novel molecular OC biomarkers have recently been identified. These biomarkers are currently subject to validation. In addition, integration of genomic, proteomic and metabolomic data, in conjunction with epidemiologic and clinical data, is considered essential for obtaining useful results. Interesting recent work has already shown that specific diagnostic biomarkers, such as BRCA mutations, may have profound therapeutic implications. Here, we review the current state of OC research through literature and database searches, with a focus on various recently identified biomarkers via different technologies for the (early) diagnosis, prognosis and treatment of OC.

conclusionsMulti-biomarker panels accompanied by a meticulous determination of their sensitivity and specificity, as well their validation, using multivariate analyses will be critical for its clinical application, including early OC detection and tailor-made OC treatment.

Indexed as

Biomarkers, TumorEpigenesis, GeneticFemaleHumansModels, BiologicalNeoplastic Cells, CirculatingOvarian NeoplasmsPrognosisBiomarkers, TumorBiomarkersCirculating tumor cellsDiagnosisEpigeneticsOvarian cancerPrognosis

Identifiers

PMID27981507
PMCPMC13001564

What OpenQuestion holds

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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.