Transcriptome of senescent and non-senescent cells within PanIN pancreatic premalignant lesions in a KRas-driven mouse model
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ABSTRACT:
PROVIDER: PRJNA527112 | ENA |
REPOSITORIES: ENA
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Project description:Cellular senescence is a central barrier to tumorigenesis, acting to block the proliferation of premalignant cells. However, senescent cells residing within tumor lesions can also exert paracrine effects influencing tumor growth and progression. Premalignant pancreatic intraepithelial neoplasia (PanIN) lesions contain senescent cells, yet whether these influence disease progression is unknown. Here we report that senescent cells in PanINs that develop in a Kras-driven mouse model express a pro-inflammatory gene signature, which includes high Cox2 levels. Pharmacologic Cox2 inhibition caused a dramatic reduction in PanIN growth. Senolytic treatment with the Bcl2-family inhibitor ABT-737 reduced the numbers of Cox2-expressing PanIN cells and blocked PanIN formation and progression to carcinoma. These findings indicate that senescent PanIN cells support tumor growth and progression through Cox2 activity, representing crosstalk between interspersed senescent and dividing premalignant cells. Targeted elimination of senescent cells may thus be effective in limiting progression of precancerous lesions.
2021-02-17 | GSE128319 | GEO
Project description:Accumulation of senescent cells in the tumour microenvironment can drive tumourigenesis in a paracrine manner through the senescence-associated secretory phenotype (SASP). Using a new p16-FDR mouse line, we show that macrophages and endothelial cells are the predominant senescent cell types in murine KRAS-driven lung tumours. Single cell transcriptomics identify a population of tumour-associated macrophages, expressing a unique array of pro-tumourigenic SASP factors and surface proteins, that are also present in normal aged lungs. Genetic or senolytic ablation of senescent cells, and macrophage depletion, result in a significant reduction in tumour burden and increased mouse survival of KRAS-driven lung cancer models. Of translational relevance, we reveal the presence of macrophages with senescent features in human lung premalignant lesions, but not in adenocarcinomas. Together, our results have uncovered a population of senescent macrophages contributing to the initiation and progression of lung cancer, thus opening potential therapeutic avenues and cancer preventative strategies.
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Project description:Transcriptional profiling of hyperplastic, metaplastic, and dysplastic lesions of the bronchus in comparison with normal bronchial epithelium. The aim was to identify transcripts and cell signalling pathways associated with the development of isolated premalignant lesions and/or lesions combined with each other in the same bronchial epithelium.
2016-05-25 | GSE81819 | GEO
Project description:Lung squamous cell carcinoma (SCC) is thought to arise from premalignant lesions in the airway epithelium, therefore studying these lesions is critical for understanding lung carcinogenesis. We performed RNA sequencing on laser-microdissected representative cell populations along the SCC pathological continuum of patient-matched normal basal cells, premalignant lesions, and tumor cells. We discovered transcriptomic changes and identified genomic pathways altered with initiation and progression of SCC within individual patients. We used immunofluorescent staining to confirm gene expression changes in premalignant lesions and tumor cells, including increased expression of SLC2A1, CEACAM5, and PTBP3 at the protein level and increased activation of MYC via nuclear translocation. Cytoband enrichment analysis revealed coordinated loss and gain of expression in chromosome 3p and 3q regions, respectively, during carcinogenesis. This is the first gene expression profiling of airway premalignant lesions with patient-matched samples that provides insight into the mechanisms of stepwise lung carcinogenesis. Profiling of mRNA expression in laser-microdissected normal airway basal cells, premalignant airway lesions, and lung SCC tumor cells by massively parallel RNA sequencing.
2014-07-03 | E-GEOD-49155 | biostudies-arrayexpress
Project description:Activation of endogenously expressed KRas[G12D] in the pancreas of mice gives rise primarily to early stage PanIN lesions, however such lesions can occasionally progress to end-stage ductal adenocarcinoma (PDAC). Progression of KRas[G12D]- initiated lesions to PDAC is accelerated by modest expression of MYC from the Rosa26 locus. Deletion of 1 copy of endogenous c-Myc or both copies of endogenous Zbtb17 (aka Miz1), slows progression to PDAC and extends healthful survival of Pdx1-Cre;lsl-KRas[G12D];Rosa26-lsl-MYC[DM] (KMC) mice. Tumours were removed from mice with all 4 genotypes and validated by histological examination prior to RNA-SEQ analysis.
2020-03-16 | E-MTAB-8797 | biostudies-arrayexpress
Project description:Lung squamous cell carcinoma (SCC) is thought to arise from premalignant lesions in the airway epithelium, therefore studying these lesions is critical for understanding lung carcinogenesis. We performed RNA sequencing on laser-microdissected representative cell populations along the SCC pathological continuum of patient-matched normal basal cells, premalignant lesions, and tumor cells. We discovered transcriptomic changes and identified genomic pathways altered with initiation and progression of SCC within individual patients. We used immunofluorescent staining to confirm gene expression changes in premalignant lesions and tumor cells, including increased expression of SLC2A1, CEACAM5, and PTBP3 at the protein level and increased activation of MYC via nuclear translocation. Cytoband enrichment analysis revealed coordinated loss and gain of expression in chromosome 3p and 3q regions, respectively, during carcinogenesis. This is the first gene expression profiling of airway premalignant lesions with patient-matched samples that provides insight into the mechanisms of stepwise lung carcinogenesis.
2014-07-03 | GSE49155 | GEO
Project description:Individuals who present with premalignant endobronchial lesions are considered at high risk of lung cancer. Nonetheless, premalignant lesions behave erratically and only a minority progresses towards lung cancer. Therefore, biomarkers need to be discovered that can aid in assessing an individual’s risk for subsequent cancer to better tailor treatment choices and avoid unnecessary follow-up procedures. We recently proposed a classifier of DNA copy number alterations (CNAs) at 3p26.3-p11.1, 3q26.2-29, and 6p25.3-24.3 as risk predictor for endobronchial cancer. The current study was set out to validate the classifier among an independent series of premalignant endobronchial lesions with various histological grades. A series of 36 endobronchial premalignant lesions (8 squamous metaplasia, and 28 various grades of dysplasia) identified during autofluorescence bronchoscopy of 12 case subjects who had carcinoma in situ or carcinoma (≥CIS) during follow-up bronchoscopy at the initial site and 24 control subjects who remained cancer-free, was subjected to array Comparative Genomic Hybridization (arrayCGH). DNA copy number profiles were related to lesion outcome. Prediction accuracy of the previously defined molecular classifier to predict endobronchial cancer in this series was determined. Unsupervised hierarchical clustering analysis revealed a significant association between cluster assignment and lesion outcome (p< 0.001), independent of histological grade, with quiescent profiles in controls (24/24) and aberrant profiles in the majority of cases (9/12). Our pre-defined classifier demonstrated 92% accuracy for predicting cancer outcome in the current sample series. Our validated classifier holds great promise for stratification of patients with premalignant endobronchial lesions for risk of subsequent cancer. Fresh frozen specimens of 36 premalignant endobronchial biopsies. Test samples were compared to an external pool of normal male/female reference DNA.
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Project description:SFRP1-regulated gene expression in premalignant breast lesions
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Project description:This portion of the study evaluated the effects of topical 10% black raspberry gel application on gene expression profiles of premalignant oral lesions. Topical application of the bioadhesive black rasberry gel was observed to modulate gene expression and reduce proinflammatory proteins in human premalignant oral lesions. Keywords: Human oral tissues treated with 10% berry gfel
2008-06-01 | GSE10174 | GEO
Project description:Individuals who present with premalignant endobronchial lesions are considered at high risk of lung cancer. Nonetheless, premalignant lesions behave erratically and only a minority progresses towards lung cancer. Therefore, biomarkers need to be discovered that can aid in assessing an individual’s risk for subsequent cancer to better tailor treatment choices and avoid unnecessary follow-up procedures. We recently proposed a classifier of DNA copy number alterations (CNAs) at 3p26.3-p11.1, 3q26.2-29, and 6p25.3-24.3 as risk predictor for endobronchial cancer. The current study was set out to validate the classifier among an independent series of premalignant endobronchial lesions with various histological grades. A series of 36 endobronchial premalignant lesions (8 squamous metaplasia, and 28 various grades of dysplasia) identified during autofluorescence bronchoscopy of 12 case subjects who had carcinoma in situ or carcinoma (≥CIS) during follow-up bronchoscopy at the initial site and 24 control subjects who remained cancer-free, was subjected to array Comparative Genomic Hybridization (arrayCGH). DNA copy number profiles were related to lesion outcome. Prediction accuracy of the previously defined molecular classifier to predict endobronchial cancer in this series was determined. Unsupervised hierarchical clustering analysis revealed a significant association between cluster assignment and lesion outcome (p< 0.001), independent of histological grade, with quiescent profiles in controls (24/24) and aberrant profiles in the majority of cases (9/12). Our pre-defined classifier demonstrated 92% accuracy for predicting cancer outcome in the current sample series. Our validated classifier holds great promise for stratification of patients with premalignant endobronchial lesions for risk of subsequent cancer.
2013-12-03 | GSE45287 | GEO