Evidence map›Paper›PMID 31220149›Full record

ArticlePloS one2019

Performance of preoperative plasma tumor markers HE4 and CA125 in predicting ovarian cancer mortality in women with epithelial ovarian cancer.

Daniela Furrer, Jean Grégoire, Stéphane Turcotte, Marie Plante, Dimcho Bachvarov, Dominique Trudel, Bernard Têtu, Pierre Douville, Isabelle Bairati

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Molecular Management of High-Grade Serous Ovarian Carcinoma.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

9 authors at 3 institutions in 1 country.

Daniela FurrerUniversité Laval Cancer Research Center 11, Côte du Palais, Quebec City, QC, Canada.ORCID 0000-0002-1497-1831
Jean GrégoireResearch Center of the CHU de Québec-Université Laval (Oncology division), Côte du palais, Quebec City, QC, Canada.
Stéphane TurcotteResearch Center of the CHU de Québec-Université Laval (Oncology division), Côte du palais, Quebec City, QC, Canada.
Marie PlanteResearch Center of the CHU de Québec-Université Laval (Oncology division), Côte du palais, Quebec City, QC, Canada.
Dimcho BachvarovUniversité Laval Cancer Research Center 11, Côte du Palais, Quebec City, QC, Canada.
Dominique TrudelResearch Center of the CHU de Québec-Université Laval (Oncology division), Côte du palais, Quebec City, QC, Canada.
Bernard TêtuUniversité Laval Cancer Research Center 11, Côte du Palais, Quebec City, QC, Canada.
Pierre DouvilleResearch Center of the CHU de Québec-Université Laval (Oncology division), Côte du palais, Quebec City, QC, Canada.ORCID 0000-0002-9727-3704
Isabelle BairatiUniversité Laval Cancer Research Center 11, Côte du Palais, Quebec City, QC, Canada.
Université Laval · CAHôtel-Dieu de Québec · CAHôpital Saint-Luc · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical utility of new biomarkers often requires the identification of their optimal threshold. This external validation study was conducted to assess the performance of the preoperative plasma tumor markers HE4 and CA125 optimal cut-offs to predict cancer mortality in women with epithelial ovarian cancer (EOC). Participating women had upfront debulking surgery in the University Hospital of Quebec City (Canada) between 1998 and 2013. A total of 136 women participated in the training cohort (cohort 1) and 177 in the validation cohort (cohort 2). Preoperative plasma HE4 and CA125 levels were measured by Elecsys. Optimal thresholds were identified in the cohort 1 using time-dependent receiver operating characteristic (ROC) curves. Multivariate Cox models were used to validate the biomarkers using their optimal cut-offs in the cohort 2. The likelihood ratio (LR) test was done to test whether the biomarkers added prognostic information beyond that provided by standard prognostic factors. The Areas Under the Curves (AUC) for HE4 and CA125 were respectively 64.2 (95% CI: 54.7-73.6) and 63.1 (95%CI: 53.6-72.6). The optimal thresholds were 277 pmol/L for HE4 and 282 U/ml for CA125. Preoperative plasma HE4 (≥277 pmol/L) was significantly associated with EOC mortality (adjusted hazard ratio (aHR): 1.90; 95% CI:1.09-3.29). The prognostic effect of HE4 was strongest in the subgroup of women with serous ovarian cancer (aHR: 2.42; 95% CI: 1.25-4.68). Using a multivariate model including all standard prognostic factors, this association was maintained (aHR: 2.21; 95% CI: 1.15-4.23). In addition, preoperative plasma HE4 added prediction for death over the standard prognostic markers in women with serous tumors (p-value for LR-test: 0.01). Preoperative CA125 was not associated with cancer mortality, both in women with EOC and in those with serous tumors. Preoperative HE4 is a promising prognostic biomarker in EOC, especially in serous tumor.

Indexed as

AgedBiomarkers, TumorCA-125 AntigenCarcinomaFemaleHumansMembrane ProteinsMiddle AgedMortalityOvarian NeoplasmsPredictive Value of TestsPrognosisWAP Four-Disulfide Core Domain Protein 2Biomarkers, TumorCA-125 AntigenMembrane ProteinsMUC16 protein, humanWAP Four-Disulfide Core Domain Protein 2WFDC2 protein, human

Identifiers

PMID31220149
PMCPMC6586345
OpenAlexW2953316233

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.