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Secretome analysis of an osteogenic prostate tumor identifies complex signaling networks mediating cross-talk of cancer and stromal cells within the tumor microenvironment

Authors :
Sankar N. Maity
Christopher J. Logothetis
Gary E. Gallick
Djuro Josic
Li Yuan Yu-Lee
Sue Hwa Lin
Yu Chen Lee
Martina Šrajer Gajdošik
James Clifton
Source :
Molecularcellular proteomics : MCP. 14(3)
Publication Year :
2014

Abstract

A distinct feature of human prostate cancer (PCa) is the development of osteoblastic (bone- forming) bone metastases. Metastatic growth in the bone is supported by factors secreted by PCa cells that activate signaling networks in the tumor microenvironment that augment tumor growth. To better understand these signaling networks and identify potential targets for therapy of bone metastases, we characterized the secretome of a patient-derived xenograft, MDA-PCa-118b (PCa-118b), generated from osteoblastic bone lesion. PCa-118b induces osteoblastic tumors when implanted either in mouse femurs or subcutaneously. To study signaling molecules critical to these unique tumor/microenvironment-mediated events, we performed mass spectrometry on conditioned media of isolated PCa-118b tumor cells, and identified 26 secretory proteins, such as TGF- β2, GDF15, FGF3, FGF19, CXCL1, galectins, and β2-microglobulin, which represent both novel and previously published secreted proteins. RT- PCR using human versus mouse-specific primers showed that TGFβ2, GDF15, FGF3, FGF19, and CXCL1 were secreted from PCa-118b cells. TGFβ2, GDF15, FGF3, and FGF19 function as both autocrine and paracrine factors on tumor cells and stromal cells, that is, endothelial cells and osteoblasts. In contrast, CXCL1 functions as a paracrine factor through the CXCR2 receptor expressed on endothelial cells and osteoblasts. Thus, our study reveals a complex PCa bone metastasis secretome with paracrine and autocrine signaling functions that mediate cross-talk among multiple cell types within the tumor microenvironment.

Details

ISSN :
15359484
Volume :
14
Issue :
3
Database :
OpenAIRE
Journal :
Molecularcellular proteomics : MCP
Accession number :
edsair.doi.dedup.....882045edccd11ba65dbb508623431ca7