Discover Community Create You

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

High throughput proteomics identifies a high-accuracy 11 plasma protein biomarker signature for ovarian cancer

20 Jun 2019

Abstract excerpt

Ovarian cancer is usually detected at a late stage and the overall 5-year survival is only 30-40%. Additional means for early detection and improved diagnosis are acutely needed. To search for novel biomarkers, we compared circulating plasma levels of 593 proteins in three cohorts of patients with ovarian cancer and benign tumors, using the proximity extension assay (PEA). A combinatorial strategy was developed...

Read the complete abstract on PubMed

Topics

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

Share to Advanced Proteomics Techniques and Applications
Share to Cancer, Lipids, and Metabolism
Share to Ovarian cancer diagnosis and treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31240259
DOI: 10.1038/s42003-019-0464-9

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

High throughput proteomics identifies a high-accuracy 11 plasma protein biomarker signature for ovarian cancerPMID 31240259Read ↗

A multiplex platform for the identification of ovarian cancer biomarkersSemantic proximity Read ↗

A novel proteomics-based plasma test for early detection of multiple cancers in the general populationSemantic proximity Read ↗

Deep plasma proteomics identifies and validates an eight-protein biomarker panel that separate benign from malignant tumors in ovarian cancerSemantic proximity Read ↗

Identification of Candidate Plasma Protein Biomarkers for Cervical Cancer Using the Multiplex Proximity Extension AssaySemantic proximity Read ↗

Comparison of Proteomic Technologies for Blood-Based Detection of Colorectal CancerSemantic proximity Read ↗

Next generation pan-cancer blood proteome profiling using proximity extension assaySemantic proximity Read ↗

Discovery and preliminary validation of a new panel of personalized ovarian cancer biomarkers for individualized detection of recurrenceSemantic proximity Read ↗

Discovery of serum biomarkers of ovarian cancer using complementary proteomic profiling strategiesSemantic proximity Read ↗

Plasma protein and tumor tissue gene expression analyses in ovarian cancer reveals differentially co-regulated clusters between benign and malignant conditionsSemantic proximity Read ↗

Large-scale proteomics reveals precise biomarkers for detection of ovarian cancer in symptomatic womenSemantic proximity Read ↗

Multi-analyte approach combining cfDNA sequencing and protein testing for early ovarian cancer detectionSemantic proximity Read ↗

Multi-platform Affinity Proteomics Identify Proteins Linked to Metastasis and Immune Suppression in Ovarian Cancer PlasmaSemantic proximity Read ↗

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