Transcriptomic heterogeneity of EGFR-mutant non-small cell lung cancer evolution towards small cell lung cancer
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1081397 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR30754500_1.fastq.gz | Fastqsanger.gz | |||
| SRR30754500_2.fastq.gz | Fastqsanger.gz | |||
| SRR30754501_1.fastq.gz | Fastqsanger.gz | |||
| SRR30754501_2.fastq.gz | Fastqsanger.gz | |||
| SRR30754502_1.fastq.gz | Fastqsanger.gz |
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Project description:Histological transformation from epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) to small cell lung cancer (SCLC) is the major resistance mechanism of EGFR tyrosine kinase inhibitors (TKIs). In our analysis of 59 regions of interest from EGFR-mutant NSCLC or combined SCLC/NSCLC tumors, we compared the transcriptomic profiles before and after transformation.
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Project description:Histologic transformation to small cell lung cancer (SCLC) is an increasingly common resistance mechanism to EGFR tyrosine kinase inhibitors in EGFR mutant lung adenocarcinoma (LUAD) that is underdiagnosed in clinical practice due to the requirement for tissue biopsy. Early and accurate detection of transformed (t)SCLC has important prognostic and therapeutic implications. To address this unmet need, we first comprehensively profiled the epigenomes of metastatic lung tumors finding widespread epigenomic reprogramming during histologic transformation from LUAD to SCLC. We then utilized a novel approach for epigenomic profiling of cell-free DNA, which discriminated patients with EGFR mutant tSCLC from patients with EGFR mutant LUAD with greater than 90% accuracy. This first demonstration of the ability to accurately, and non-invasively, detect small cell transformation in patients with EGFR mutant LUAD through epigenomic cfDNA profiling is a critical step towards a new paradigm of diagnostic and therapeutic precision for patients with advanced lung cancer.
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Project description:Bianconi2012 - EGFR and IGF1R pathway in lung cancer
EGFR and IGF1R pathways play a key role in various human cancers and are crucial for tumour transformation and survival of malignant cells. High EGFR and IGF1R expression and activity has been associated with multiple aspects of cancer progression including tumourigenesis, metastasis, resistance to chemotherapeutics and other molecularly targeted drugs. Here, the biological relationship between the proteins involved in EGFR and IGF1R pathways and the downstream MAPK and PIK3 networks has been modelled to study the time behaviour of the overall system, and the functional interdependencies among the receptors, the proteins and kinases involved.
This model is described in the article:
Computational model of EGFR and IGF1R pathways in lung cancer: a Systems Biology approach for Translational Oncology.
Bianconi F, Baldelli E, Ludovini V, Crinò L, Flacco A, Valigi P.
Biotechnol Adv. 2012 Jan-Feb;30(1):142-53.
Abstract:
In this paper we propose a Systems Biology approach to understand the molecular biology of the Epidermal Growth Factor Receptor (EGFR, also known as ErbB1/HER1) and type 1 Insulin-like Growth Factor (IGF1R) pathways in non-small cell lung cancer (NSCLC). This approach, combined with Translational Oncology methodologies, is used to address the experimental evidence of a close relationship among EGFR and IGF1R protein expression, by immunohistochemistry (IHC) and gene amplification, by in situ hybridization (FISH) and the corresponding ability to develop a more aggressive behavior. We develop a detailed in silico model, based on ordinary differential equations, of the pathways and study the dynamic implications of receptor alterations on the time behavior of the MAPK cascade down to ERK, which in turn governs proliferation and cell migration. In addition, an extensive sensitivity analysis of the proposed model is carried out and a simplified model is proposed which allows us to infer a similar relationship among EGFR and IGF1R activities and disease outcome.
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2024-09-02 | BIOMD0000000427 | BioModels
Project description:Acquired resistance represents a bottleneck for effective molecular targeted therapy in lung cancer. Metabolic adaptation is a distinct hallmark of human lung cancer that might contribute to acquired resistance. In this study, we discovered a novel mechanism of acquired resistance to EGFR tyrosine kinase inhibitors (TKI) mediated by IGF2BP3-dependent cross-talk between epigenetic modifications and metabolic reprogramming through the IGF2BP3–COX6B2 axis. IGF2BP3 was upregulated in patients with TKI-resistant non–small cell lung cancer, and high IGF2BP3 expression correlated with reduced overall survival. Upregulated expression of the RNA binding protein IGF2BP3 in lung cancer cells reduced sensitivity to TKI treatment and exacerbated the development of drug resistance via promoting oxidative phosphorylation (OXPHOS). COX6B2 mRNA bound IGF2BP3, and COX6B2 was required for increased OXPHOS and acquired EGFR-TKI resistance mediated by IGF2BP3. Mechanistically, IGF2BP3 bound to the untranslated region of COX6B2 in an m6A-dependent manner to increase COX6B2 mRNA stability. Moreover, the IGF2BP3–COX6B2 axis regulated nicotinamide metabolism, which can alter OXPHOS and promote EGFR-TKI acquired resistance. Inhibition of OXPHOS with IACS-010759, a small-molecule inhibitor, resulted in strong growth suppression in vitro and in vivo in a gefitinib-resistant patient-derived xenograft model. Collectively, these findings suggest that metabolic reprogramming by the IGF2BP3–COX6B2 axis plays a critical role in TKI resistance and confers a targetable metabolic vulnerability to overcome acquired resistance to EGFR-TKIs in lung cancer.
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Project description:Controlled activation of epidermal growth factor receptor (EGFR) is systematically guaranteed at the molecular level, however aberrant activation of EGFR is frequently found in cancer. Transcription induced by EGFR activation often involves coordinated expression of genes that positively and negatively regulate the original signaling pathway, therefore alterations in EGFR kinase activity may reflect changes in gene expression associated with the pathway. In this study, we investigated transcriptional changes following EGF stimulation with or without the EGFR kinase inhibitor Iressa in H1299 human non-small-cell lung cancer cells (parental H1299, H1299 cells which overexpress wild-type: EGFR-WT and mutant EGFR: L858R). Our results clearly showed differences in transcriptional activity in the absence or presence of EGFR kinase activity, and genes sharing the same molecular functions showed distinct expression dynamics. The results showed particular enrichment of EGFR/ErbB signaling-related genes in a differentially expressed gene set, and significant protein expression of MIG6/RALT(ERRFI1), an EGFR negative regulator, was confirmed in L858R. High MIG6 protein expression was correlated with basal EGFR phosphorylation and inversely correlated with EGF-induced ERK phosphorylation levels. Investigation of NCI-60 cell lines showed that ERRFI1 expression was correlated with EGFR expression regardless of tissue type. These results suggest that cells accumulate MIG6 as an inherent negative regulator to suppress excess EGFR activity when basal EGFR kinase activity is considerably high. Taken together, an EGFR mutation can cause transcriptional changes to accommodate the activation potency of the original signaling pathway at the cellular level. Experiment Overall Design: H1299 human non-small cell lung cancer cells were stimulated by the growth hormone (epidermal growth factor (EGF)) or EGFR kinase inhibitor (Iressa). Control was set as non-treated cells.
2009-08-09 | E-GEOD-11729 | biostudies-arrayexpress
Project description:Expression of long noncoding RNA EGFR-AS1 is found to be dysregulated in cancer especially non small cell lung cancer. However, the role of long noncoding RNA EGFR-AS1 in non small cell lung cancer remains relatively unknown. Our study aim to discovered the role of long noncoding RNA EGFR-AS1 in lung cancer progression and response to chemotherapy.
2021-10-31 | GSE182260 | GEO
Project description:The clinical significance of gene fusions detected by DNA-based next generation sequencing remains unclear as resistance mechanisms to EGFR tyrosine kinase inhibitors (TKIs) in EGFR mutant non-small cell lung cancer (NSCLC). Through comprehensive evaluation of potential drug resistance-imparting fusion oncogenes in EGFR mutant lung cancers, we selected candidate samples to be further validated by confirmatory assay. Here, we performed RNA sequencing as an unbiased genome-wide method to identify novel oncogenic fusions. In 11 samples from 10 patients, 3 different fusion callers consistently detected only the DLG1-BRAF fusion in sample 6. None of other putative fusions detected by DNA-based hybrid capture sequencing were validated.We concluded that only a subset of putative fusion was validated by RNA-seq.
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