Evidence map›Paper›PMID 32176629›Full record

Observational studyCancer biomarkers : section A of Disease markers2020

Circulating cell-free DNA variables as marker of ovarian cancer patients: A pilot study.

Srdjan Stamenkovic, Jie Cheng, Harald Surowy, Barbara Burwinkel, Melanie Gündert

Abstract readObservational Study
In one paragraph

Observational study in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
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  5. Review
  6. Screening and prevention of ovarian cancer.The Medical journal of Australia · 2024
    Review
  7. Article
  8. Article
  9. Article
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  11. 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

5 authors.

Srdjan StamenkovicDivision of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Jie ChengDivision of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Harald SurowyDivision of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Barbara BurwinkelDivision of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Melanie GündertDivision of Molecular Epidemiology, German Cancer Research Center, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimal invasive blood-based molecular markers are evaluated as promising biomarkers in malignant diseases these days.

objectiveIn this pilot study, we investigated the potential of cell-free DNA (cfDNA) concentration and cell-free DNA Integrity (cfDI) as blood-based diagnostic markers for ovarian cancer patients in a retrospective study cohort.

methodscfDNA concentration and cfDI were determined in the plasma of 37 ovarian cancer patients and 28 healthy controls, by measuring ALU and LINE1 repetitive DNA elements using quantitative real-time PCR.

resultsA high correlation was observed between the results of ALU and LINE1. The correlated co-efficiency between the values of cfDNA concentration and cfDI was 0.86 and 0.71. As for the results between cases and controls, no or just borderline significant difference was observed in cfDI after age adjustment (P= 0.40 for ALU and P= 0.05 for LINE1) while cfDNA concentration showed a significant difference between ovarian cancer patients and healthy controls groups (P= 0.03 for ALU and P= 3.00 E-03 for LINE1). cfDNA concentration of ALU and LINE1 had an AUC of 0.81 (0.70-0.91). ALU and LINE1 cfDI reached an AUC of 0.60 (95% CI: 0.46-0.73). The combination of these markers reached the best diagnostic power with an AUC of 0.84.

conclusionscfDNA variables might be potentially diagnostic biomarkers in ovarian cancer, in combination with additional molecular markers. However, further studies are needed to confirm the diagnostic ability of cfDNA variables (cfDNA concentration and cfDI).

Indexed as

AdultAgedAged, 80 and overAlu ElementsBiomarkers, TumorCell-Free Nucleic AcidsFemaleHealthy VolunteersHumansLong Interspersed Nucleotide ElementsMiddle AgedOvarian NeoplasmsPilot ProjectsPrognosisRetrospective StudiesROC CurveBiomarkers, TumorCell-Free Nucleic Acidscell free DNA concentrationcell free DNA integritydiagnostic markerOvarian cancer

Identifiers

PMID32176629
PMCPMC12662342

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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.