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

Identification of novel candidate biomarkers of epithelial ovarian cancer by profiling the secretomes of three‐dimensional genetic models of ovarian carcinogenesis

9 Sept 2014

Abstract excerpt

Epithelial ovarian cancer (EOC) is still considered the most lethal gynecological malignancy and improved early detection of ovarian cancer is crucial to improving patient prognoses. To address this need, we tested whether candidate EOC biomarkers can be identified using three-dimensional (3D) in vitro models. We quantified changes in the abundance of secreted proteins in a 3D genetic model of early-stage EOC,...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to Ovarian cancer diagnosis and treatment
Share to RNA Research and Splicing

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 25204737
DOI: 10.1002/ijc.29197

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of novel candidate biomarkers of epithelial ovarian cancer by profiling the secretomes of three‐dimensional genetic models of ovarian carcinogenesisPMID 25204737Read ↗

Modelling genetic and clinical heterogeneity in epithelial ovarian cancersSemantic proximity Read ↗

Comparative analysis of syngeneic mouse models of high-grade serous ovarian cancerSemantic proximity Read ↗

Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional statusSemantic proximity Read ↗

Zebrafish avatars: towards functional precision medicine in low-grade serous ovarian cancerSemantic proximity Read ↗

Profiling extracellular vesicles in circulation enables the early detection of ovarian cancerSemantic proximity Read ↗

Diagnosing and staging epithelial ovarian cancer by serum glycoproteomic profilingSemantic proximity Read ↗

A catalogue of proteins released by colorectal cancer cells in vitro as an alternative source for biomarker discovery.Semantic proximity Read ↗

Comparative Proteomics of Colon Cancer Stem Cells and Differentiated Tumor Cells Identifies BIRC6 as a Potential Therapeutic TargetSemantic proximity Read ↗

The use of ovarian cancer cells from patients undergoing surgery to generate primary cultures capable of undergoing functional analysis.Semantic proximity Read ↗

Creation of a Human Secretome: A Novel Composite Library of Human Secreted Proteins: Validation Using Ovarian Cancer Gene Expression Data and a Virtual Secretome ArraySemantic proximity Read ↗

Glycosphingolipids are mediators of cancer plasticity through independent signaling pathwaysSemantic proximity Read ↗

Transcriptomic analysis of an in vitro murine model of ovarian carcinoma: Functional similarity to the human disease and identification of prospective tumoral markers and targetsSemantic proximity Read ↗

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