Proteomic analyses of ECM during pancreatic ductal adenocarcinoma progression reveal different contributions by tumor and stromal cells | Zendy

Chenxi Tian | Zendy; Karl R. Clauser | Zendy; Daniel Öhlund | Zendy; Steffen Rickelt | Zendy; Ying Huang | Zendy; Mala Gupta | Zendy; D.R. Mani | Zendy; Steven A. Carr | Zendy; David A. Tuveson | Zendy; Richard O. Hynes | Zendy

Open Access

Proteomic analyses of ECM during pancreatic ductal adenocarcinoma progression reveal different contributions by tumor and stromal cells

Author(s) -

Chenxi Tian,

Karl R. Clauser,

Daniel Öhlund,

Steffen Rickelt,

Ying Huang,

Mala Gupta,

D.R. Mani,

Steven A. Carr,

David A. Tuveson,

Richard O. Hynes

Publication year - 2019

Publication title -

proceedings of the national academy of sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.011

H-Index - 771

eISSN - 1091-6490

pISSN - 0027-8424

DOI - 10.1073/pnas.1908626116

Subject(s) - stromal cell , extracellular matrix , pancreatic cancer , cancer research , biology , pancreas , tumor microenvironment , pancreatic intraepithelial neoplasia , proteomics , microbiology and biotechnology , pathology , cancer , medicine , pancreatic ductal adenocarcinoma , endocrinology , gene , genetics , tumor cells

Significance We describe here the most comprehensive analyses of extracellular matrix (ECM) of pancreatic ductal adenocarcinoma (PDAC) yet available, which detected previously unknown molecular changes during PDAC progression in both mouse models and human patients. These data distinguish ECM proteins produced by tumor cells from those produced by stromal cells and show that it is the diverse set of tumor cell-derived proteins that correlate best with poor patient survival. In contrast, the stroma-derived ECM proteins, which comprise the bulk of the microenvironmental ECM, include both proteins correlating with good survival and proteins correlating with poor survival. These data may help explain why prior nonselective depletion of the stroma led to poorer patient outcomes and suggest more precise ECM manipulations as PDAC treatments.

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