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Ex vivo modelling of pancreatic cancer recapitulates in vivo extracellular matrix signatures and drug responses

ABSTRACT: The ex vivo modelling of pancreatic ductal adenocarcinoma (PDAC) using patient-derived cells is a promising tool to predict treatment responses. Matrigel-based organoid and organotypic approaches are limited by their undefined molecular composition, hindering the recapitulation of the tumour’s characteristic desmoplasia, which is known to promote drug resistance. To overcome these limitations, we used self-assembling peptide amphiphiles (PAs) gelled in a minimal extracellular matrix to model the pancreatic tumour microenvironment and to establish 3D multicellular cultures of patient-derived PDAC cells, pancreatic stellate cells and macrophages. Matrisome analysis of 3D cultures demonstrated consistent ECM protein deposition, which was highly reminiscent of the corresponding primary PDAC tissues. The proteomic data obtained was also compared to the corresponding patient-derived xenografts (PDX) in nude mice and Matrigel-based cultures. Characterisation of the chemosensitivity of the cultures revealed realistic treatment responses by PDAC cells in PA hydrogels based on the responses of their corresponding PDX tumours. Histological, transcriptional and functional techniques confirmed these similarities, which were not observed in Matrigel-based cultures. These findings demonstrate the biomimetic nature of PA hydrogels, which enable cultured cells to recreate the PDAC matrisome ex vivo and to respond to chemotherapeutic agents in a predictive manner.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Pancreatic Ductal Cell, Pancreatic Ductal Adenocarcinoma Cell Line, Pancreatic Duct, Pancreatic Stellate Cell

DISEASE(S): Pancreatic Ductal Carcinoma,Pancreas Adenocarcinoma

SUBMITTER: Vinothini Rajeeve

LAB HEAD: Dr Pedro Cutillas

PROVIDER: PXD013254 | Pride | 2021-07-06

REPOSITORIES: Pride

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			Action	DRS
	4189a1e37891d790___QE1_David_Exp3_TP_sample1.raw.-1.mgf	Mgf
	4189a1e37891d790___QE1_David_Exp3_TP_sample10.raw.-1.mgf	Mgf
	4189a1e37891d790___QE1_David_Exp3_TP_sample10R.raw.-1.mgf	Mgf
	4189a1e37891d790___QE1_David_Exp3_TP_sample11.raw.-1.mgf	Mgf
	4189a1e37891d790___QE1_David_Exp3_TP_sample11R.raw.-1.mgf	Mgf

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Project description:Engraftment of primary pancreas ductal adenocarcinomas (PDAC) in mice to generate patient derived xenograft (PDX) models is a promising platform to for biological and therapeutic studies in this disease. However, these models are still incompletely characterized. Here, we measured the impact of the murine environment on the gene expression of the engrafted human tumoral cells. We have analyzed gene expression profiles from 35 new PDX models and compared them with previously published microarray data from PDAC and hepatocellular carcinoma (HCC). Our results showed that PDX models derived from PDAC, or HCC, were clearly different to the cell lines derived from the same cancer tissues. Indeed, PDAC- and HCC-derived cell lines are indistinguishable one from the other based in their gene expression profiles. In contrast, the transcriptomes of PDAC and HCC PDX models are clearly different and more similar to their original tumor than to PDX models from the other tumor type. Interestingly, the main differences between pancreatic PDX models and human PDAC is the expression of genes involved in pathways related with extracellular matrix interactions and cell cycle regulation likely reflecting the adaptations of the tumors to the new environment. Furthermore, most of these differences are detected in the first passages after the tumor engraftment, indicating early phases of the adaptation process. In conclusion, different from conventional cancer cell lines, PDX models of PDAC retain similar gene expression profiles of PDAC. Expression changes are mainly related to genes involved in stromal pathways likely reflecting the adaptation to new environments. We also provide evidence of the stability of gene expression patterns over subsequent passages. We have analyzed gene expression profiles from 35 new PDX models and compared them with previously published in GEO microarray data. We used PDX models, primary tumors and cell lines from PDAC and hepatocellular carcinoma. All these public data were re-process in order to compare with our 35 samples

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Ex vivo modelling of pancreatic cancer recapitulates in vivo extracellular matrix signatures and drug responses

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