Single cell transcriptomes of pancreatic pre-invasive lesions and cancer reveal acinar metaplastic cells’ heterogeneity
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PROVIDER: PRJNA604712 | ENA |
REPOSITORIES: ENA
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Project description:In this project we have used single cell RNA-seq to profile pancreatic cancer development in a mouse model, from pre-invasive stage to cancer, and in human PDAC sample. Using a reporter gene, we were able to dissect metaplastic acinar cell heterogeneity, profiled six different acinar metaplastic cell types and states, validated their localization to pre-invasive lesions and correlated findings with human PDAC. In addition, we detected transcription factors, Onecut2 and Foxq1, that strictly expressed in metaplastic cells.
2020-07-31 | GSE141017 | GEO
Project description:Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease when diagnosed at a late stage, however patient survivorship significantly increases when the disease is detect prior to metastasis. To study the earliest events leading to PDAC initiation, we developed a genetically engineered mouse model of PDAC utilizing a tamoxifen-inducible Cre Recombinase knocked into the transcription factor Ptf1a locus to induce expression of oncogenic KrasG12D and Trp53R270H alleles in adult pancreatic acinar cells. Mice of the genotype KrasLSL-G12D/+; Trp53LSL-R270H/+; Ptf1aCreERTM/+ (KPT) developed PDAC following tamoxifen injection while control Cre recombinase negative KrasLSL-G12D/+; Trp53LSL-R270H/+; (KP) mice injected with tamoxifen did not develop PDAC. Acinar cells comprising the pancreata of tamoxifen treated KPT mice we observed to undergo acinar to ductal metaplasia (ADM), and formed precancerous lesions. We used laser capture microdissection (LCM) and RNA sequencing to generate, to our knowledge, the first transcriptional profile of an enriched population of metaplastic acinar cells in situ. Comparing the transcriptional profile of metaplastic acinar cells with the transcriptional profile of healthy pancreatic tissue identified differentially expressed genes associated with ADM. Ingenuity pathway analysis revealed transcriptional regulators and canonical signaling pathways involved in ADM. LCM was used to generate a transactional profile of cancer cells isolated from pancreatic tumors, and differential gene expression analysis revealed a subset of genes which are overexpressed in both ADM and PDAC relative to healthy pancreas. Further analysis of genes expressed in both pancreatic cancer precursor ADM lesions and invasive PDAC may lead to the identification of novel biomarkers of PDAC.
2019-09-12 | GSE111540 | GEO
Project description:To test the hypothesis that there is a specific miRNA expression signature which characterizes Barrett's esophagus development and progression, we performed miRNA microarray analysis comparing normal esophageal squamous epithelium with the two different metaplastic lesions occuring within Barrett's mucosa (i.e. gastric metaplasia and intestinal metaplasia). Samples of H. pylori-related gastritis and gastric intestinal metaplasia were also considered in the definition of esophageal-specific miRNAs.
2011-01-01 | GSE24839 | GEO
Project description:To test the hypothesis that there is a specific miRNA expression signature which characterizes Barrett's esophagus development and progression, we performed miRNA microarray analysis comparing normal esophageal squamous epithelium with the two different metaplastic lesions occuring within Barrett's mucosa (i.e. gastric metaplasia and intestinal metaplasia). Samples of H. pylori-related gastritis and gastric intestinal metaplasia were also considered in the definition of esophageal-specific miRNAs. miRNA microarray analysis was performed in a series of samples obtained from (a) 10 histologically-proven long-segment Barrett's esophagus patients; (b) 10 patients with H. pylori-related chronic atrophic gastritis. Overall, 10 normal esophageal squamous epithelium samples, 10 esophageal intestinal metaplasia samples, 10 esophageal gastric metaplasia samples, 10 H. pylori -related gastritis samples (no atrophic lesion detected; obtained from the antrum) and 10 gastric intestinal metaplasia samples (obtained from the antrum) were considered.
2011-01-01 | E-GEOD-24839 | biostudies-arrayexpress
Project description:Acinar metaplasia is an initial step in a series of events that can lead to pancreatic cancer. Here we perform single-cell RNA-sequencing of mouse pancreas during the progression from preinvasive stages to tumor formation. Using a reporter gene, we identify metaplastic cells that originated from acinar cells and express two transcription factors, Onecut2 and Foxq1. Further analyses of metaplastic acinar cell heterogeneity define six acinar metaplastic cell types and states, including stomach-specific cell types. Localization of metaplastic cell types and mixture of different metaplastic cell types in the same pre-malignant lesion is shown. Finally, single-cell transcriptome analyses of tumor-associated stromal, immune, endothelial and fibroblast cells identify signals that may support tumor development, as well as the recruitment and education of immune cells. Our findings are consistent with the early, premalignant formation of an immunosuppressive environment mediated by interactions between acinar metaplastic cells and other cells in the microenvironment.
| S-EPMC7481797 | biostudies-literature
Project description:Background: Lung carcinoma-in-situ (CIS) lesions are the pre-invasive precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those pre-invasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. Methods: Progressive and regressive CIS lesions were laser-captured and their genome, epigenome and transcriptome interrogated. We analysed 83 progressive lesions, 41 regressive and 33 normal epithelial control samples. DNA methylation and gene expression profiles were further validated using publicly available lung cancer data. Results: Somatic mutation burden was higher in progressive lesions than regressive CIS lesions, across base substitutions, rearrangements, insertions and deletions. Driver mutations were present in both progressive and regressive CIS lesions, but were more numerous in progressive cases. Progressive and regressive CIS lesions had distinct epigenomic and transcriptional profiles, with a strong chromosomal instability signature. Gene expression, methylation and copy number profiles can all predict accurately which CIS lesions will progress to lung cancer. Conclusion: Pre-invasive CIS lesions that will subsequently progress to invasive lung cancer can be distinguished from those that will regress using molecular profiling. Progression is associated with a strong chromosomal instability signature. These findings inform the development of novel therapeutic targets.
2019-01-01 | GSE108082 | GEO
Project description:Rationale: Lung carcinoma-in-situ (CIS) lesions are the pre-malignant precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those preinvasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. We performed gene expression microarrays on CIS lesions, with a view to deriving a molecular signature predictive of future progression to invasive cancer.
2019-01-01 | GSE94611 | GEO
Project description:Rationale: Lung carcinoma-in-situ (CIS) lesions are the pre-malignant precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those preinvasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. We performed gene expression microarrays on CIS lesions, with a view to deriving a molecular signature predictive of future progression to invasive cancer.
2019-01-01 | GSE108123 | GEO
Project description:Pancreatic ductal adenocarcinoma (PDAC) is believed to arise from the accumulation of a series of somatic mutations and is also frequently associated with pancreatic intraepithelial neoplasia (PanIN) lesions. However, there is still debate as to whether the cell-type-of-origin of PanINs and PDACs is acinar or ductal. As cell type identity is maintained epigenetically, DNA methylation changes during pancreatic neoplasia can provide a compelling perspective to examine this question, but DNA methylation sequencing has not yet been performed genome-wide on purified exocrine and neoplastic cell types in the pancreas. Thus, we performed genome-wide DNA methylation sequencing on acini, non-neoplastic ducts, PanIN lesions, and PDAC lesions. We found that: 1) both global methylation profiles and block DMRs clearly implicate an acinar origin for PanINs; 2) at the gene level, PanIN lesions exhibit an intermediate acinar-ductal phenotype resembling acinar-to-ductal metaplasia (ADM); and 3) PanINs are epigenetically primed to progress to PDAC. Thus, epigenomic analysis complements histopathology to define molecular progression toward PDAC.
2023-05-08 | GSE222147 | GEO
Project description:BACKGROUND Autofluorescence bronchoscopy (AFB) is a valid strategy for detecting premalignant endobronchial lesions. However, no biomarker can reliably predict lung cancer risk of subjects with AFB-visualized premalignant lesions. Our present study was set out to identify AFB-visualized squamous metaplastic lesions with malignant potential by DNA copy number profiling. METHODS Regular AFB-examinations in 474 subjects at risk of lung cancer identified 6 subjects with SqM lesions at baseline and carcinoma (in situ) at the initial SqM site at follow-up bronchoscopy. These progressive SqM lesions were compared for immunostaining pattern and arrayCGH-based chromosomal profiles to 23 SqM of subjects who remained cancer-free. Specific copy number alterations (CNAs) linked to cancer risk were identified and accuracy of CNAs to predict endobronchial cancer in this series was determined. RESULTS At baseline, p53, p63 and Ki-67 immunostaining were not predictive for a differential clinical outcome of SqM lesions. The mean number of CNAs in baseline SqM of cases was significantly higher compared to controls (p<0.01). Chromosomal regions significantly more frequently altered in SqM of cases were 3p26.3-p11.1, 3q26.2-q29, 9p13.3-p13.2, and 17p13.3-p11.2 (FWER<0.10). CNAs were specifically detected at the site of future cancer. In cases, baseline-detected CNAs persisted in subsequent biopsies taken from the initial site, and levels increased towards cancer progression. CNAs at 3p26.3-p11.1, 3q26.2-29, and 6p25.3-24.3, predicted cancer risk for AFB-visualized SqM with 97% accuracy. CONCLUSION Our data strongly suggest that the presence of specific DNA copy number alterations in endobronchial SqM lesions predict endobronchial cancer.
2011-08-02 | GSE23644 | GEO