Delineating mechanisms of immune evasion in lung carcinoma in situ
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE133690 | GEO | 2020/09/01
REPOSITORIES: GEO
Similar Datasets
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: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, and copy number changes. 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.
| EGAD00001003883 | EGA
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:The presence of carcinoma in situ (CIS) lesions in the urinary bladder is associated with a high risk of disease progression to a muscle invasive stage. In this study, we used microarray expression profiling to examine the gene expression patterns in superficial transitional cell carcinoma (sTCC) with surrounding CIS (13 patients), without surrounding CIS lesions (15 patients), and in muscle invasive carcinomas (mTCC; 13 patients). Hierarchical cluster analysis separated the sTCC samples according to the presence or absence of CIS in the surrounding urothelium. We identified a few gene clusters that contained genes with similar expression levels in transitional cell carcinoma (TCC) with surrounding CIS and invasive TCC. However, no close relationship between TCC with adjacent CIS and invasive TCC was observed using hierarchical cluster analysis. Expression profiling of a series of biopsies from normal urothelium and urothelium with CIS lesions from the same urinary bladder revealed that the gene expression found in sTCC with surrounding CIS is found also in CIS biopsies as well as in histologically normal samples adjacent to the CIS lesions. Furthermore, we also identified similar gene expression changes in mTCC samples. We used a supervised learning approach to build a 16-gene molecular CIS classifier. The classifier was able to classify sTCC samples according to the presence or absence of surrounding CIS with a high accuracy. This study demonstrates that a CIS gene expression signature is present not only in CIS biopsies but also in sTCC, mTCC, and, remarkably, in histologically normal urothelium from bladders with CIS. Identification of this expression signature could provide guidance for the selection of therapy and follow-up regimen in patients with early stage bladder cancer. Experiment Overall Design: See publication
2007-11-28 | E-GEOD-3167 | biostudies-arrayexpress
Project description:Persistent bronchial dysplasia (BD) is associated with increased risk of developing invasive squamous cell carcinoma (SCC) of the lung. We hypothesized that differences in gene expression profiles between persistent and regressive BD would identify cellular processes that underlie progression to SCC. RNA expression arrays (Affymetrix Hu 1.0) comparing baseline biopsies from 32 bronchial sites that persisted/progressed to 31 regressive sites showed 395 differentially expressed genes (ANOVA, FDR</=0.05). Thirty-one pathways showed statistically significant evidence of altered activity between the two groups. Multiple pathways were associated with cell cycle control/proliferation, inflammation, or epithelial differentiation/cell-cell adhesion. Polo-like kinase 1 (PLK1) was associated with multiple cell cycle pathways. Cultured persistent BD cells showed increased PLK1 expression, and following treatment with PLK1 inhibitor, showed induction of apoptosis, G2/M phase arrest and decreased proliferation compared to untreated cells. These effects were not seen in normal or regressive BD cultures. Inflammatory pathway activity was decreased in persistent BD and the presence of an inflammatory infiltrate was more common in regressive BD. Regressive BDs were also associated with trends toward overall increases in macrophages and T-lymphocytes and altered polarization of these inflammatory cell subsets. Increased desmoglein 3 and plakoglobin expression was associated with higher grade and persistence of BD. The results identify alterations in cell cycle control, inflammatory activity, and epithelial differentiation/cell-cell adhesion in the persistent subset of BDs that are associated with high risk for progression to invasive SCC. These pathways may provide strong markers of risk and effective targets for lung cancer prevention.
2018-05-16 | GSE114489 | GEO
Project description:The presence of carcinoma in situ (CIS) lesions in the urinary bladder is associated with a high risk of disease progression to a muscle invasive stage. In this study, we used microarray expression profiling to examine the gene expression patterns in superficial transitional cell carcinoma (sTCC) with surrounding CIS (13 patients), without surrounding CIS lesions (15 patients), and in muscle invasive carcinomas (mTCC; 13 patients). Hierarchical cluster analysis separated the sTCC samples according to the presence or absence of CIS in the surrounding urothelium. We identified a few gene clusters that contained genes with similar expression levels in transitional cell carcinoma (TCC) with surrounding CIS and invasive TCC. However, no close relationship between TCC with adjacent CIS and invasive TCC was observed using hierarchical cluster analysis. Expression profiling of a series of biopsies from normal urothelium and urothelium with CIS lesions from the same urinary bladder revealed that the gene expression found in sTCC with surrounding CIS is found also in CIS biopsies as well as in histologically normal samples adjacent to the CIS lesions. Furthermore, we also identified similar gene expression changes in mTCC samples. We used a supervised learning approach to build a 16-gene molecular CIS classifier. The classifier was able to classify sTCC samples according to the presence or absence of surrounding CIS with a high accuracy. This study demonstrates that a CIS gene expression signature is present not only in CIS biopsies but also in sTCC, mTCC, and, remarkably, in histologically normal urothelium from bladders with CIS. Identification of this expression signature could provide guidance for the selection of therapy and follow-up regimen in patients with early stage bladder cancer. Keywords: Tissue group comparisons (+-CIS)
2005-09-19 | GSE3167 | GEO
Project description:In this dataset contains 3 cases of transcriptome information from 3 normal lung tissue, they respectively from lung squamous carcinoma tissue adjacent to carcinoma (C5), pneumonia lesions (C55) and lung bronchiectasis disease (C56), 6 cases from lung tissue samples of COVID - 19 patients (S528, S527, S59, S519, S52, S523).
2023-06-24 | GSE153131 | GEO
Project description:Delineating mechanisms of immune evasion in lung carcinoma in situ
| PRJNA552276 | ENA
Project description:Carcinogenesis is a multistep process in which cells accumulate multiple genetic alterations, as they progress to a more malignant phenotype. It has been proposed that sequential accumulation of gene abnormalities in specific genes drives the transition from non-tumorous epithelia through preneoplastic lesion/benign tumor to cancer. Histologically, progression to invasive oral squamous cell carcinoma (OSCC) follows multistep ordered series beginning with mucosal epithelial cell hyperplasia, followed by dysplasia, carcinoma in situ and invasive carcinoma. It is therefore speculated that genetic alterations-mediated multistep carcinogenesis would be involved in OSCC development, but their detailed molecular mechanisms are unknown. Herein, we clarified the comprehensive gene expression patterns and carried out an enrichment analysis using DNA microarray data obtained from an OSCC pathological specimen, which consists of non-tumor region, carcinoma in situ lesion and invasive carcinoma lesion. Numerous numbers of gene expression and signal activation were altered in the OSCC development. Of them, the expression of p63 was increased and MEK/ERK-MAPK pathway was activated in carcinoma in situ lesion as well as in invasive carcinoma lesion. Immunohistochemical analyses revealed that p63 was initially upregulated in carcinoma in situ lesions and ERK was sequentially activated in invasive carcinoma lesions in OSCC specimens. ADP-ribosylation factor (ARF)-like 4c (ARL4C), the expression of which is reportedly induced by p63 and/or MEK/ERK-MAPK pathway in OSCC cells, has been shown to promote tumorigenesis. Immunohistochemically, in OSCC specimens, ARL4C was more frequently detected in tumor lesions, especially in invasive carcinoma lesions than in carcinoma in situ lesions. Additionally, ARL4C and phosphorylated ERK were merged at high frequency in invasive carcinoma lesions. Loss-of-function experiments using inhibitors and siRNAs revealed that p63 and EGFR-MEK/ERK-MAPK cooperatively induce ARL4C expression in OSCC cells. These results suggest that the stepwise activation of p63 and EGFR-MEK/ERK-MAPK contributes to OSCC tumor cell growth though regulation of ARL4C expression.
2023-02-03 | GSE223855 | GEO