Dataset Information

Ovarian high grade serous carcinoma ascites cell secretome

ABSTRACT: The secretomes of tumor cells, and macrophages from high grade serous ovarian carcinoma from the ascites of patients undergoing primary surgery were analysed after 24h culture (ex vivo) via obitrap.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Ovarian Surface Epithelial Cell, Ascites, Macrophage

DISEASE(S): Ovary Serous Adenocarcinoma

SUBMITTER: Florian Finkernagel

LAB HEAD: Rolf Mueller

PROVIDER: PXD008047 | Pride | 2017-11-17

REPOSITORIES: Pride

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Publications

Proteotranscriptomics Reveal Signaling Networks in the Ovarian Cancer Microenvironment.

Worzfeld Thomas T Finkernagel Florian F Reinartz Silke S Konzer Anne A Adhikary Till T Nist Andrea A Stiewe Thorsten T Wagner Uwe U Looso Mario M Graumann Johannes J Müller Rolf R

Molecular & cellular proteomics : MCP 20171115 2

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 comprehensive proteomic and transcriptomic analyses of TU, TAT, and TAM from ascites of ovaria ...[more]

PMID: 29141914

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Project description:Background: Transcoelomic spread is the major route of metastasis of ovarian high-grade serous carcinoma (HGSC) with the omentum as the major metastatic site. Its unique tumor microenvironment with its large populations of adipocytes, mesothelial cells and immune cells establishes an intercellular signaling network that is instrumental for metastatic growth yet poorly understood. Methods: Based on transcriptomic analysis of tumor cells, tumor-associated immune and stroma cells we defined intercellular signaling pathways for 284 cytokines and growth factors and their cognate receptors after bioinformatic adjustment for contaminating cell types. The significance of individual components of this network was validated by analyzing clinical correlations and potentially pro-metastatic functions, including tumor cell migration, pro-inflammatory signal transduction and TAM expansion. Results: The data show an unexpected prominent role of host cells, and in particular of omental adipocytes, mesothelial cells and fibroblasts (CAF), in sustaining this signaling network. These cells, rather than tumor cells, are the major source of most cytokines and growth factors in the omental microenvironment (n=176 versus n=13). Many of these factors target tumor cells, are linked to metastasis and are associated with a short survival. Likewise, tumor stroma cells play a major role in both extracellular-matrix-triggered and lipid-mediated signaling. We have verified the functional significance of our observations for three exemplary instances. We show that the omental microenvironment (i) stimulates tumor cell migration via WNT4 which is highly expressed by CAF; (ii) induces pro-tumorigenic TAM proliferation in conjunction with high CSF1 expression by omental stroma cells and (iii) triggers pro-inflammatory signaling, at least in part via a HSP70 – NFkB pathway. Conclusions: The intercellular signaling network of omental metastases is majorly dependent on factors secreted by immune and stroma cells to provide an environment that supports ovarian HGSC progression. Clinically relevant pathways within this network represent novel options for therapeutic intervention.

Project description:Ovarian cancer is a major cause of cancer mortality among women largely due to late diagnosis of advanced stage metastatic disease. More extensive molecular analysis of metastatic ovarian cancer is needed to identify post-translational modifications of proteins particularly associated with metastatic disease so that we can better understand the metastatic process and identify potential therapeutic targets. Proteins are the target of many recently developed cancer treatments, but an often neglected aspect of biomarker discovery is protein glycosylation, especially those involving tumor-associated carbohydrate antigens (TACAs) such as sialyl-Lewis(x) (SLe(x) and sialyl-Lewis(a) (SLe(a), which have been identified in various cancers. Although it is already known that considerable changes in protein glycosylation are major contributors to the initiation, progression and metastasis of tumors, specifics about glycosylation changes particularly important to the metastatic process are still lacking. In this report we describe the results of a combined glycomic and proteomic study of metastatic ovarian cancer (OC) ascites fluids. Glycoproteins in ascites fluid were enriched by affinity binding to lectins (ConA or WGA) and other affinity matrices. Separate glycomic and proteomic analyses were performed as well as glycopeptide analyses. Relative abundances of different N-glycan groups and proteins were identified from original ascites fluids and corresponding lectin bound samples. Levels of biomarkers CA125, MUC1 and fibronectin were also monitored in these samples by Western blot analysis. N-glycan analysis of ascites fluids showed the presence of large, highly fucosylated and sialylated, complex and hybrid glycans, some of which were not observed in normal serum. Proteins in OC ascites that were more abundant or not present in the serum control, were haptoglobin, fibronectin, lumican, fibulin, hemopexin, ceruloplasmin, alpha-1-antitrypsin and alpha-1-antichymotrypsin. Glycopeptide analysis identified N- and O-glycans in clusterin, hemopexin, and fibulin that were present in OC ascites.

Dataset Information

Ovarian high grade serous carcinoma ascites cell secretome

Publications

Proteotranscriptomics Reveal Signaling Networks in the Ovarian Cancer Microenvironment.

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