Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Framework for Evaluating Biomarkers for Early Detection: Validation of Biomarker Panels for Ovarian Cancer

1 Mar 2011

Abstract excerpt

A panel of biomarkers may improve predictive performance over individual markers. Although many biomarker panels have been described for ovarian cancer, few studies used prediagnostic samples to assess the potential of the panels for early detection. We conducted a multisite systematic evaluation of biomarker panels using prediagnostic serum samples from the Prostate, Lung, Colorectal, and Ovarian Cancer (PLCO)...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genetic factors in colorectal cancer
Share to Ovarian cancer diagnosis and treatment
Share to Radiomics and Machine Learning in Medical Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 21372037
DOI: 10.1158/1940-6207.capr-10-0193

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Framework for Evaluating Biomarkers for Early Detection: Validation of Biomarker Panels for Ovarian CancerPMID 21372037Read ↗

Revisiting the standard blueprint for biomarker development to address emerging cancer early detection technologiesSemantic proximity Read ↗

Patented Biomarker Panels in Early Detection of CancerSemantic proximity Read ↗

A combined biomarker panel shows improved sensitivity for the early detection of ovarian cancer allowing the identification of the most aggressive type II tumoursSemantic proximity Read ↗

An overview of biomarkers for the ovarian cancer diagnosis.Semantic proximity Read ↗

Risk Prediction for Epithelial Ovarian Cancer in 11 United States-Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci.Semantic proximity Read ↗

The promise of biomarkers in cancer screening and detection.Semantic proximity Read ↗

Ovarian cancer risk prediction: a clinical epidemiology perspective.Semantic proximity Read ↗

Multi-biomarker panel signature as the key to diagnosis of ovarian cancerSemantic proximity Read ↗

Statistical and practical considerations for clinical evaluation of predictive biomarkers.Semantic proximity Read ↗

An Immunohistochemical Algorithm for Ovarian Carcinoma Typing.Semantic proximity Read ↗

The scientific basis of early detection of epithelial ovarian cancer: the National Ovarian Cancer Early Detection Program (NOCEDP).Semantic proximity Read ↗

Validation of biomarkers as early predictors of diseaseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.