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

Proteotranscriptomics Reveal Signaling Networks in the Ovarian Cancer Microenvironment

15 Nov 2017

Abstract excerpt

Ovarian cancer is characterized by early transcoelomic metastatic spread via the peritoneal fluid, where tumor cell spheroids (TU), tumor-associated T cells (TAT), and macrophages (TAM) create a unique microenvironment promoting cancer progression, chemoresistance, and immunosuppression. However, the underlying signaling mechanisms remain largely obscure. To chart these signaling networks, we performed...

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 Immune cells in cancer
Share to Ubiquitin and proteasome pathways

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29141914
DOI: 10.1074/mcp.ra117.000400

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Proteotranscriptomics Reveal Signaling Networks in the Ovarian Cancer MicroenvironmentPMID 29141914Read ↗

A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcomeSemantic proximity Read ↗

Single-cell and bulk RNA sequencing reveal ligands and receptors associated with worse overall survival in serous ovarian cancerSemantic proximity Read ↗

Exploring the tumor micro-environment in ovarian cancer histotypes and tumor sitesSemantic proximity Read ↗

Ascites-Driven Modulation of Cell Phenotypes and Proteomes: Implications for Cancer ProgressionSemantic proximity Read ↗

Single-cell transcriptomic construction of fibroblast score for analysis of immune infiltration in primary and metastatic ovarian cancerSemantic proximity Read ↗

Analyzing the extracellular matrix-dominated immune landscape of high-grade serous ovarian cancer to determine prognosis and guide therapySemantic proximity Read ↗

T cell-Macrophage Interactions Potentially Influence Chemotherapeutic Response in Ovarian Cancer PatientsSemantic proximity Read ↗

Integrative Multi-Omics and Machine Learning Approach Reveals Tumor Microenvironment-Associated Prognostic Biomarkers in Ovarian CancerSemantic proximity Read ↗

Exploring tumor microenvironment in molecular subtyping and prognostic signatures in ovarian cancer and identification of SH2D1A as a key regulator of ovarian cancer carcinogenesisSemantic proximity Read ↗

Single-cell analysis reveals the stromal dynamics and tumor-specific characteristics in the microenvironment of ovarian cancerSemantic proximity Read ↗

Advanced Therapeutic Approaches for Metastatic Ovarian CancerSemantic proximity Read ↗

Long-term ovarian cancer survivors: spatial transcriptomics depict ligand-receptor crosstalk heterogeneity at the tumor-stroma interfaceSemantic proximity Read ↗

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