2017
DOI: 10.1002/ijc.31087
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Transcriptional variations in the wider peritumoral tissue environment of pancreatic cancer

Abstract: Transcriptional profiling was performed on 452 RNA preparations isolated from various types of pancreatic tissue from tumour patients and healthy donors, with a particular focus on peritumoral samples. Pancreatic ductal adenocarcinomas (PDAC) and cystic tumours were most different in these non‐tumorous tissues surrounding them, whereas the actual tumours exhibited rather similar transcript patterns. The environment of cystic tumours was transcriptionally nearly identical to normal pancreas tissue. In contrast,… Show more

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Cited by 14 publications
(23 citation statements)
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“…Consistent with recent reports (16)(17)(18), the most enriched canonical pathways associated with disease-associated fibroblasts compared to NA were phagosome maturation, autophagy and endocytosis signaling (Figure 1F). The most common biological functions differentially regulated between disease-associated fibroblasts and NA or NF corresponded to cell movement and migration with key upstream regulators such as TNF, TP53 and TGFβ1 (19-21) altered in these comparison groups (Supplementary Figure 2B, 2C).…”
Section: Disease-associated Fibroblasts From Pancreatic Pathologies Show Distinct Gene Expression Profilessupporting
confidence: 91%
“…Consistent with recent reports (16)(17)(18), the most enriched canonical pathways associated with disease-associated fibroblasts compared to NA were phagosome maturation, autophagy and endocytosis signaling (Figure 1F). The most common biological functions differentially regulated between disease-associated fibroblasts and NA or NF corresponded to cell movement and migration with key upstream regulators such as TNF, TP53 and TGFβ1 (19-21) altered in these comparison groups (Supplementary Figure 2B, 2C).…”
Section: Disease-associated Fibroblasts From Pancreatic Pathologies Show Distinct Gene Expression Profilessupporting
confidence: 91%
“…In our study, pancreatic tissue samples from normal individuals were used as a control group, while other researchers used samples of paratumor tissues, which reduces the specificity of the marker, since the inflammatory process that circumscribes tumor cells can express the target in question with levels equivalent to the tumorigenic microenvironment, highlighting it in benign inflammatory conditions. Another fact that stands out in the control group, as it directly interferes with expression levels, since it is used, in many cases, as a calibrator in real-time PCR reactions (Bauer et al, 2018). miRNA-21 was analyzed in invasive pancreatic tissue and Vater papilla adenocarcinomas, comparing them to normal adjacent tissues.…”
Section: Discussionmentioning
confidence: 99%
“…DNA methylation analysis in bulk tumor data. We used 450k DNA methylation data of cancer and normal samples from array-expression for pancreas 57 and from GEO database for lung (GSE66836) and liver (GSE54503) samples. The coordinates of 450k methylation array probes were obtained using the COHCAP library in R and were mapped to the 5kb upstream promoter region of each gene using bedtools.…”
Section: Methodsmentioning
confidence: 99%