Deconstruction of a Metastatic Tumor Microenvironment Reveals a Common Matrix Response in Human Cancers

Oliver M.T. Pearce(Queen Mary University of London), Robin M. Delaine‐Smith(Queen Mary University of London), Eleni Maniati(Queen Mary University of London), Sam Nichols(Queen Mary University of London), Jun Wang(Queen Mary University of London), Steffen Böhm(Queen Mary University of London), Vinothini Rajeeve(Queen Mary University of London), Dayem Ullah(Queen Mary University of London), Probir Chakravarty(The Francis Crick Institute), Roanne R. Jones(Queen Mary University of London), Anne Montfort(Queen Mary University of London), Tom Dowe(Queen Mary University of London), John G. Gribben(Queen Mary University of London), J. Louise Jones(Queen Mary University of London), Hemant M. Kocher(Queen Mary University of London), Jonathan S. Serody, Benjamin G. Vincent, John T. Connelly(Queen Mary University of London), James D. Brenton(University of Cambridge), Claude Chelala(Queen Mary University of London), Pedro R. Cutillas(Queen Mary University of London), Michelle Lockley(Queen Mary University of London), Conrad Bessant(Queen Mary University of London), Martin M. Knight(Queen Mary University of London), Frances R. Balkwill(Queen Mary University of London)
Cancer Discovery
December 1, 2017
Cited by 351Open Access
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Abstract

Abstract We have profiled, for the first time, an evolving human metastatic microenvironment by measuring gene expression, matrisome proteomics, cytokine and chemokine levels, cellularity, extracellular matrix organization, and biomechanical properties, all on the same sample. Using biopsies of high-grade serous ovarian cancer metastases that ranged from minimal to extensive disease, we show how nonmalignant cell densities and cytokine networks evolve with disease progression. Multivariate integration of the different components allowed us to define, for the first time, gene and protein profiles that predict extent of disease and tissue stiffness, while also revealing the complexity and dynamic nature of matrisome remodeling during development of metastases. Although we studied a single metastatic site from one human malignancy, a pattern of expression of 22 matrisome genes distinguished patients with a shorter overall survival in ovarian and 12 other primary solid cancers, suggesting that there may be a common matrix response to human cancer. Significance: Conducting multilevel analysis with data integration on biopsies with a range of disease involvement identifies important features of the evolving tumor microenvironment. The data suggest that despite the large spectrum of genomic alterations, some human malignancies may have a common and potentially targetable matrix response that influences the course of disease. Cancer Discov; 8(3); 304–19. ©2017 AACR. This article is highlighted in the In This Issue feature, p. 253


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