Evidence map›Paper›PMID 28758102›Full record

ReviewAnnals of translational medicine2017

Circulating biomarkers in epithelial ovarian cancer diagnosis: from present to future perspective.

Martina Montagnana, Marco Benati, Elisa Danese

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–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

39 citing papers in PubMed.

  1. Article
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  9. Article
  10. Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  11. Article
  12. Review
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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.

Martina MontagnanaClinical Biochemistry Section, University Hospital of Verona, Verona, Italy.
Marco BenatiClinical Biochemistry Section, University Hospital of Verona, Verona, Italy.
Elisa DaneseClinical Biochemistry Section, University Hospital of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) represents the most lethal gynecological cancer and the poor prognosis is often attributable to late diagnosis. The diagnostic approach to woman presenting with pelvic mass is difficult and differential diagnosis often requires invasive histological examination. Serum CA125 and HE4, as well as the most of the other serum biomarkers discovered and validated, are not sufficiently sensitive and specific to make early diagnosis. Moreover, conflicting results exist about the improvement of diagnostic performance by using multivariate index assays, developed by combining circulating biomarkers with other variables (i.e., ultrasound and/or menopausal status and/or age), in comparison to CA125 or HE4 alone. In the last years, several studies focused on the microRNAs (miRs), short single-stranded non-coding RNA that regulate several messenger RNAs (mRNAs). As in other cancer types, the aberrant miRs expression has been demonstrated in gynecological cancers, in both tissues and serum samples. In particular, the diagnostic performance of single or miRs panels resulted very high. However, to date, despite the potential clinical utility has been demonstrated, none of these miRs has been validated in large OC populations.

Indexed as

Biomarkersepigenetic biomarkersHE4microRNAs (miRs)ovarian cancer (OC)

Identifiers

PMID28758102
PMCPMC5515813

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.