Dataset Information

Identification of spatially-resolved markers of malignant transformation in Intraductal Papillary Mucinous Neoplasms. [GeoMx]

ABSTRACT: Spatial transcriptomics characterization of IPMN samples by GeoMx

ORGANISM(S): Homo sapiens

PROVIDER: GSE229752 | GEO | 2024/02/15

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Purpose: The diagnosis of high grade intraductal papillary mucinous neoplasm (IPMN) is difficult to distinguish from low grade IPMN. The aim of this study was to identify potential markers for the discrimination of high grade and invasive IPMN from low and moderate grade IPMN. Experimental Design: Laser capture microdissection was used to isolate distinct foci of low grade, moderate grade, high grade, and invasive IPMN from paraffin embedded archival tissue from 14 patients who underwent resection for IPMN. Most samples included multiple grades in the same specimen. Affymetrix Human Exon microarrays were used for gene expression analysis to compare low and moderate grade (LMD) IPMN to high grade and invasive (HgInv) IPMN. Results: When comparing samples of LMD dysplasia (n=15) to those demonstrating HgInv (n=13), 62 genes were identified as showing significant changes in expression (p≤0.05 and a 2-fold cutoff), with up-regulation of 41 in HgInv IPMN and down-regulation in 21. Changes in gene expression are associated with biological processes related to malignant behavior including cell motion, cell proliferation, response to hypoxia, and epithelial to mesenchymal transition. Hierarchical clustering analysis demonstrated the ability of these 62 differentially expressed genes to distinguish between LMD and HgInv samples. In addition, altered signaling in several TGFβ-related pathways was exhibited in the progression of IPMN to malignancy. Conclusions: This study identifies a set genes associated with the progression of IPMN to malignancy. These genes are potential markers that could be used to identify IPMN requiring surgical resection. Using laser capture microdissection, distinct foci of low (n=10), moderate (n=5), and high grade dysplasia (n=6) as well as invasive carcinoma (n=7) were isolated from paraffin embedded archival tissue of 14 patients who underwent resection for IPMN. Gene expression data from Affymetrix Human Exon 1.0ST microarrays was utilized to compare low and moderate grade IPMN to high and invasive IPMN.

Project description:Intraductal Papillary Mucinous Neoplasms (IPMNs) of the pancreas are cyst-like precursor lesions that give rise to 25% of pancreatic ductal adenocarcinomas (PDAC). While ~90% of cases are diagnosed before cancer forms, metrics and markers by which to determine if an IPMN will progress are currently lacking. Overall, 96% of IPMNs harbor KRAS (~80%) and/or GNAS (~66%) driver mutations and IPMN may be classified as either gastric, intestinal, or pancreatobiliary type. Recently, we identified a shared program of pyloric type metaplasia between pancreatic and gastric injury. Here, we combined immunostaining, RNA-sequencing, molecular biology, and analysis of patient samples to identify major drivers of this program in IPMN. Methods Single cell RNA-sequencing datasets of human IPMN were assayed for markers of pyloric-type metaplasia. 37 IPMN patient samples were immunostained using MxIHC for MUC5AC, CD44v9, and AQP5. KrasG12D and GnasR201C expression was modified in IPMN cell lines to identify transcriptomic programs driven by each oncogene, and in combination. Gene sets were compared to murine and human gastric cell types. Transcriptomic drivers were identified and manipulated in vitro. Candidate driver expression was evaluated by immunostaining of patient IPMN and graded. Results Analysis of published bulk and scRNA-seq IPMN datasets revealed expression of previously described markers of pyloric type metaplasia. Marker expression was confirmed in patient samples. Manipulation of KrasG12D and GnasR201C expression in IPMN cell lines identified the relative contributions of each oncogene to this gastric phenotype. Regulon analysis suggests that transcription factors SPDEF, CREB3L1, and CREB3L4 amplify this program in response to GnasR201C expression. All transcription factors were expressed in patient IPMN samples. Conclusions In response to oncogenic mutation(s), IPMN form in the pancreas and express markers of pyloric type metaplasia. KrasG12D and GnasR201C expression drive this program through independent and synergistic mechanisms that result in amplified expression of mucins and gastrokines, consistent with the phenotype identified in vivo.

Dataset Information

Identification of spatially-resolved markers of malignant transformation in Intraductal Papillary Mucinous Neoplasms. [GeoMx]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets