Evidence map›Paper›PMID 29244844›Full record

ArticlePloS one2017

Diagnostic markers for the detection of ovarian cancer in BRCA1 mutation carriers.

Daphne Gschwantler-Kaulich, Sigrid Weingartshofer, Christine Rappaport-Fürhauser, Robert Zeillinger, Dietmar Pils, Daniela Muhr, Elena I Braicu, Marie-Therese Kastner, Yen Y Tan, Lorenz Semmler and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Ovarian Cancer Biomarkers: Moving Forward in Early Detection.Advances in experimental medicine and biology · 2020
    Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Daphne Gschwantler-KaulichDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.ORCID 0000-0002-7401-0987
Sigrid WeingartshoferDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.
Christine Rappaport-FürhauserDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.
Robert ZeillingerDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.
Dietmar PilsSection for Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems (CeMSIIS), Medical University of Vienna, Vienna, Austria.
Daniela MuhrDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.
Elena I BraicuDepartment of Gynecology with Center for Oncological Surgery, European Competence Center for Ovarian Cancer, Charité - Campus Virchow-Klinikum, University Medicine of Berlin, Berlin, Germany.
Marie-Therese KastnerDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.
Yen Y TanDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.
Lorenz SemmlerDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.
Jalid SehouliDepartment of Gynecology with Center for Oncological Surgery, European Competence Center for Ovarian Cancer, Charité - Campus Virchow-Klinikum, University Medicine of Berlin, Berlin, Germany.
Christian F SingerDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University Vienna, Vienna, Austria.
Comprehensive Cancer Center Vienna · ATCharité - Universitätsmedizin Berlin · DEMedical University of Vienna · ATQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScreening for ovarian cancer (OC) in women at high risk consists of a combination of carbohydrate antigen 125 (CA125) and transvaginal ultrasound, despite their low sensitivity and specificity. This could be improved by the combination of several biomarkers, which has been shown in average risk patients but has not been investigated until now in female BRCA mutation carriers.

methodsUsing a multiplex, bead-based, immunoassay system, we analyzed the concentrations of leptin, prolactin, osteopontin, insulin-like growth factor II, macrophage inhibitory factor, CA125 and human epididymis antigen 4 in 26 healthy wild type women, 26 healthy BRCA1 mutation carriers, 28 wildtype OC patients and 26 OC patients with BRCA1 mutation.

resultsUsing the ROC analysis, we found a high overall sensitivity of 94.3% in differentiating healthy controls from OC patients with comparable results in the wildtype subgroup (sensitivity 92.8%, AUC = 0.988; p = 5.2e-14) as well as in BRCA1 mutation carriers (sensitivity 95.2%, AUC = 0.978; p = 1.7e-15) at an overall specificity of 92.3%. The used algorithm also allowed to identify healthy BRCA1 mutation carriers when compared to healthy wildtype women (sensitivity 88.4%, specificity 80.7%, AUC = 0.895; p = 6e-08), while this was less pronounced in patients with OC (sensitivity 66.7%, specificity 67.8%, AUC = 0.724; p = 0.00065).

conclusionWe have developed an algorithm, which can differentiate between healthy women and OC patients and have for the first time shown, that such an algorithm can also be used in BRCA mutation carriers. To clarify a suggested benefit to the existing early detection program, large prospective trials with mainly early stage OC cases are warranted.

Indexed as

Early Detection of CancerAdultAgedAntigens, NeoplasmBiomarkers, TumorBRCA1 ProteinCA-125 AntigenFemaleHumansInsulin-Like Growth Factor IILeptinMiddle AgedMutationOsteopontinOvarian NeoplasmsProlactinAntigens, NeoplasmBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanCA-125 Antigenhuman epithelial antigen-125Insulin-Like Growth Factor IILeptinOsteopontinProlactinSPP1 protein, human

Identifiers

PMID29244844
PMCPMC5731824
OpenAlexW2774568732

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.