Evidence map›Paper›PMID 18766180›Full record

ArticleBritish journal of cancer2008

Prediction of ovarian cancer prognosis and response to chemotherapy by a serum-based multiparametric biomarker panel.

K Oikonomopoulou, L Li, Y Zheng, I Simon, R L Wolfert, D Valik, M Nekulova, M Simickova, T Frgala, E P Diamandis

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

50 citing papers in PubMed, 105 citations in OpenAlex.

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  10. Single-Molecule FRET-Based Multiplexed Detection.Methods in molecular biology (Clifton, N.J.) · 2024
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  13. Could Kallikrein-Related Serine Peptidase 3 Be an Early Biomarker of Environmental Exposure in Young Women?International journal of environmental research and public health · 2021
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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

10 authors at 4 institutions in 3 countries.

K OikonomopoulouDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G1L5, Canada.
L Li
Y Zheng
I Simon
R L Wolfert
D Valik
M Nekulova
M Simickova
T Frgala
E P Diamandis
Masaryk Memorial Cancer Institute · CZDiazyme (United States) · USFred Hutch Cancer Center · USMount Sinai Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there are no effective biomarkers for ovarian cancer prognosis or prediction of therapeutic response. The objective of this study was to examine a panel of 10 serum biochemical parameters for their ability to predict response to chemotherapy, progression and survival of ovarian cancer patients. Sera from ovarian cancer patients were collected prior and during chemotherapy and were analysed by enzyme-linked immunosorbent assay for CA125, kallikreins 5, 6, 7, 8, 10 and 11, B7-H4, regenerating protein IV and Spondin-2. The odds ratio and hazard ratio and their 95% confidence interval (95% CI) were calculated. Time-dependent receiver-operating characteristic (ROC) curves were utilised to evaluate the prognostic performance of the biomarkers. The levels of several markers at baseline (c(0)), or after the first chemotherapy cycle (rc(1)), predicted chemotherapy response and overall or progression-free survival in univariate analysis. A multiparametric model (c(0) of CA125, KLK5, KLK7 and rc(1) of CA125) provided predictive accuracy with area under the ROC curve (AUC) of 0.82 (0.62 after correction for overfitting). Another marker combination (c(0) of KLK7, KLK10, B7-H4, Spondin-2) was useful in predicting short-term (1-year) survival with an AUC of 0.89 (0.74 after correction for overfitting). All markers examined, except KLK7 and regenerating protein IV, were powerful predictors of time to progression (TTP) among chemotherapy responders. Individual and panels of biomarkers from the kallikrein family (and other families) can predict response to chemotherapy, overall survival, short-term (1-year) survival, progression-free survival and TTP of ovarian cancer patients treated with chemotherapy.

Indexed as

AdultAgedAntineoplastic AgentsBiomarkers, TumorEnzyme-Linked Immunosorbent AssayFemaleHumansMiddle AgedOvarian NeoplasmsPrognosisSurvival AnalysisAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID18766180
PMCPMC2567083
OpenAlexW2140307236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.