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Molecular profiling of stroma highlights stratifin as a novel biomarker of poor prognosis in pancreatic ductal adenocarcinoma

Abstract : Background Pancreatic ductal adenocarcinoma (PDAC) is a deadly cancer worldwide, as a result of a late diagnosis and limited therapeutic options. Tumour microenvironment (or stroma) plays a key role in cancer onset and progression and constitutes an intrinsic histological hallmark of PDAC. Thus we hypothesised that relevant prognostic biomarkers and therapeutic targets can be identified in the stroma. Methods Laser microdissection of the stroma from freshly frozen PDAC was combined to gene expression profiling. Protein expression of candidate biomarkers was evaluated by immunohistochemistry on tissue microarrays (n = 80 tumours) and by ELISA in plasma samples (n = 51 patients). Results A signature made of 1256 genes that significantly discriminate the stroma from the non-tumour fibrous tissue was identified. Upregulated genes were associated with inflammation and metastasis processes and linked to NF-Kappa B and TGF beta pathways. TMA analysis validated an increased expression of SFN, ADAMTS12 and CXCL3 proteins in the stroma of PDAC. Stromal expression of SFN was further identified as an independent prognostic factor of overall (p = 0.003) and disease-free survival (DFS) (p = 0.034). SFN plasma expression was significantly associated with reduced DFS (p = 0.006). Conclusions We demonstrated that gene expression changes within the stroma of PDAC correlate with tumour progression, and we identified Stratifin as a novel independent prognostic biomarker.
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Contributor : Laurent Jonchère <>
Submitted on : Thursday, December 3, 2020 - 11:46:45 AM
Last modification on : Tuesday, May 25, 2021 - 9:30:02 AM
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Robin et al-2020-Molecular pro...
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Fabien Robin, Gaëlle Angenard, Luis Cano, Laetitia Courtin-Tanguy, Elodie Gaignard, et al.. Molecular profiling of stroma highlights stratifin as a novel biomarker of poor prognosis in pancreatic ductal adenocarcinoma. British Journal of Cancer, Cancer Research UK, 2020, 123 (1), pp.72-80. ⟨10.1038/s41416-020-0863-1⟩. ⟨hal-02797082⟩



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