Spatial determination and prognostic impact of the fibroblast transcriptome in pancreatic ductal adenocarcinoma.
Author
Croft, WaynePearce, Hayden
Margielewska-Davies, Sandra
Lim, Lindsay
Nicol, Samantha M
Zayou, Fouzia
Blakeway, Daniel
Marcon, Francesca
Powell-Brett, Sarah
Mahon, Brinder
Merard, Reena
Zuo, Jianmin
Middleton, Gary
Roberts, Keith
Brown, Rachel M
Moss, Paul
Publication date
2023-06-23Subject
Endocrinology
Metadata
Show full item recordAbstract
Pancreatic ductal adenocarcinoma has a poor clinical outcome and responses to immunotherapy are suboptimal. Stromal fibroblasts are a dominant but heterogenous population within the tumor microenvironment and therapeutic targeting of stromal subsets may have therapeutic utility. Here, we combine spatial transcriptomics and scRNA-Seq datasets to define the transcriptome of tumor-proximal and tumor-distal cancer-associated fibroblasts (CAFs) and link this to clinical outcome. Tumor-proximal fibroblasts comprise large populations of myofibroblasts, strongly expressed podoplanin, and were enriched for Wnt ligand signaling. In contrast, inflammatory CAFs were dominant within tumor-distal subsets and expressed complement components and the Wnt-inhibitor SFRP2. Poor clinical outcome was correlated with elevated HIF-1α and podoplanin expression whilst expression of inflammatory and complement genes was predictive of extended survival. These findings demonstrate the extreme transcriptional heterogeneity of CAFs and its determination by apposition to tumor. Selective targeting of tumor-proximal subsets, potentially combined with HIF-1α inhibition and immune stimulation, may offer a multi-modal therapeutic approach for this disease.Citation
Croft W, Pearce H, Margielewska-Davies S, Lim L, Nicol SM, Zayou F, Blakeway D, Marcon F, Powell-Brett S, Mahon B, Merard R, Zuo J, Middleton G, Roberts K, Brown RM, Moss P. Spatial determination and prognostic impact of the fibroblast transcriptome in pancreatic ductal adenocarcinoma. Elife. 2023 Jun 23;12:e86125. doi: 10.7554/eLife.86125. PMID: 37350578; PMCID: PMC10361717.Type
ArticleAdditional Links
https://elifesciences.org/articles/86125PMID
37350578Journal
eLifePublisher
eLife Sciences Publicationsae974a485f413a2113503eed53cd6c53
10.7554/eLife.86125