Expression Profiling of MicroRNAs in Relation to EGFR Mutation status in Japanese Smoker Male with Lung Adenocarcinoma [adinocarcinoma tissue]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE102223 | GEO | 2018/02/14
REPOSITORIES: GEO
Similar Datasets
Project description:The lung adenocarcinoma has an increased incidence in smokers. The molecular target therapy has been developed for lung adenocarcinoma patients harboring EGFR gene mutation. However, the treatment options for the patients without mutation are currently limited. Thus, analysis of EGFR gene mutation status at early stage is important strategy to classify patients for effective treatments and improving prognosis. This study aimed to identify microRNA (miRNAs) signature in relation to mutation status in EGFR gene in early stage of lung adenocarcinoma male patients with smoking history. MiRNA profiles were assessed by microarray in paired plasma and tissue pooled from 10 EGFR wild type (EGFR-wt) and 10 EGFR mutated (EGFR-mut) patients.
2018-02-14 | GSE102222 | GEO
Project description:We have examined the both miRNA and mRNA expression profiles in 155 lung adenocarcinoma samples with known EGFR mutation status (52 mutated and 103 wild-type cases). An integrative analysis was performed to identify the unique miRNA-mRNA regulatory network in EGFR-mutated lung adenocarcinoma.
2018-11-13 | GSE119268 | GEO
Project description:We have examined the both miRNA and mRNA expression profiles in 155 lung adenocarcinoma samples with known EGFR mutation status (52 mutated and 103 wild-type cases). An integrative analysis was performed to identify the unique miRNA-mRNA regulatory network in EGFR-mutated lung adenocarcinoma.
2018-11-13 | GSE119267 | GEO
Project description:The model is based on publication:
Mathematical analysis of gefitinib resistance of lung adenocarcinoma caused by MET amplification
Abstract:
Gefitinib, one of the tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR), is effective for treating lung adenocarcinoma harboring EGFR mutation; but later, most cases acquire a resistance to gefitinib. One of the mechanisms conferring gefitinib resistance to lung adenocarcinoma is the amplification of the MET gene, which is observed in 5–22% of gefitinib-resistant tumors. A previous study suggested that MET amplification could cause gefitinib resistance by driving ErbB3-dependent activation of the PI3K pathway. In this study, we built a mathematical model of gefitinib resistance caused by MET amplification using lung adenocarcinoma HCC827-GR (gefitinib resistant) cells. The molecular reactions involved in gefitinib resistance consisted of dimerization and phosphorylation of three molecules, EGFR, ErbB3, and MET were described by a series of ordinary differential equations. To perform a computer simulation, we quantified each molecule on the cell surface using flow cytometry and estimated unknown parameters by dimensional analysis. Our simulation showed that the number of active ErbB3 molecules is around a hundred-fold smaller than that of active MET molecules. Limited contribution of ErbB3 in gefitinib resistance by MET amplification is also demonstrated using HCC827-GR cells in culture experiments. Our mathematical model provides a quantitative understanding of the molecular reactions underlying drug resistance.
2019-09-30 | BIOMD0000000827 | BioModels
Project description:EGFR-mutated non-small cell lung cancers bear hallmarks including sensitivity to EGFR inhibitors, and low proliferation, and increased MET. However, the biology of EGFR dependence is still poorly understood. Using a training cohort of chemo-naive lung adenocarcinomas, we have developed a 72-gene signature that predicts (i) EGFR mutation status in four independent datasets; (ii) sensitivity to erlotinib in vitro; and (iii) improved survival, even in the wild-type EGFR subgroup. The signature includes differences associated with enhanced receptor tyrosine kinase (RTK) signaling, such as increased expression of endocytosis-related genes, decreased phosphatase levels, decreased expression of proliferation-related genes, increased folate receptor-1 (FOLR1) (a determinant of pemetrexed response), and higher levels of MACC1 (which we identify as a regulator of MET in EGFR-mutant NSCLC). Those observations provide evidence that the EGFR-mutant phenotype is associated with alterations in the cellular machinery that links the EGFR and MET pathways and create a permissive environment for RTK signaling. We have developed a gene expression signature that predicts (i) EGFR mutation in chemo-naive and, to a lesser extent, in chemo-refractory NSCLC patients; (ii) EGFR TKI response in vitro; and (iii) survival in wild-type EGFR patients. The signature also identifies novel features of EGFR mutant NSCLC including increased levels of endocytosis-related genes and MACC1, which appears be an EGFR mutant associated regulator of MET. Gene expression profiles were measured in 124 core biopsies from patients with refractory non-small cell lung cancer in the Biomarker-integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) trial. We used the BATTLE dataset to test an EGFR-mutation gene expression signature trained in chemo-naive lung adenocarcinoma. The signature was computed as an index, called EGFR index.
2014-06-01 | E-GEOD-31852 | biostudies-arrayexpress
Project description:Identification of genes up-regulated in ALK-positive and EGFR/KRAS/ALK-negative lung adenocarcinomas. To elucidate molecular characteristics of lung adenocarcinomas (ADCs) with ALK mutations and those without EGFR, KRAS and ALK mutations, 226 primary lung ADCs of pathological stage I-II, examined for the status of EGFR, KRAS and ALK mutations, were subjected to genome-wide expression profiling, and genes up-regulated in lung ADCs with ALK mutations and those without EGFR, KRAS and ALK mutations were identified. One hundred and seventy-four genes, including ALK, were selected as being up-regulated specifically in 79 lung ADCs without EGFR and KRAS mutations. These 79 cases were divided into: 11 cases of ALK-positive ADCs, 36 cases of group A triple-negative ADCs, and 32 cases of group B triple-negative ADCs, by unsupervised clustering according to the expression of the 174 genes. In ALK-positive ADCs, 30 genes, including ALK itself and GRIN2A, were significantly overexpressed. Group A triple-negative ADC cases showed significantly worse prognoses for relapse and death than ADC cases with EGFR, KRAS or ALK mutations and group B triple-negative ADC cases. Nine genes were identified as being significantly up-regulated in group A triple-negative ADC cases and critical for predicting their prognosis. The nine genes included DEPDC1, which had been identified as a candidate diagnostic and therapeutic target in bladder and breast cancers. Genes discriminating this group of ADCs will be useful for selection of patients who will benefit from adjuvant chemotherapy after surgical resection of stage I-II triple-negative ADCs and also informative for the development of molecular targeting therapies for these patients. Expression profiles in of 226 lung adenocarcinomas (127 with EGFR mutation, 20 with KRAS mutation, 11 with EML4-ALK fusion and 68 triple negative cases).
2011-11-01 | E-GEOD-31210 | biostudies-arrayexpress
Project description:Lung cancer is the leading cause of cancer related death worldwide, mainly due to the late stage of disease at the time of diagnosis. Non-invasive biomarkers are needed to supplement existing screening methods to enable earlier detection and increased patient survival. This is critical to EGFR-driven lung adenocarcinoma as it commonly occurs in individuals who have never smoked and do not qualify for current screening protocols. Methods: In this study, we performed mass spectrometry analysis of the secretome of cultured lung cells representing different stages of mutant EGFR driven transformation, from normal to fully malignant. Identified secreted proteins specific to the malignant state were validated using orthogonal methods and their clinical activity assessed in lung adenocarcinoma patient cohorts. Results: We quantified 1020 secreted proteins, which were compared for differential expression between stages of transformation. We validated differentially expressed proteins at the transcriptional level in clinical tumor specimens, association with patient survival, and absolute concentration to yield three biomarker candidates: MDK, GDF15, and SPINT2. These candidates were validated using ELISA and increased levels were associated with poor patient survival specifically in EGFR mutant lung adenocarcinoma patients. Conclusions: Our study provides insight into changes in secreted proteins during EGFR driven lung adenocarcinoma transformation that may play a role in the processes that promote tumor progression. The specific candidates identified can harnessed for biomarker use to identify high risk individuals for early detection screening programs and disease management for this molecular subgroup of lung adenocarcinoma patients.
2024-01-03 | PXD045328 | Pride
Project description:We have examined the microRNA expression in 154 lung adenocarcinoma samples and 20 paired normal lung tissue samples and investigated the microRNA expression to clinical variables, EGFR- and KRAS- mutational status and time to progression. 174 samples are analyzed. 154 from lung adenocarcinoma tumor tissue and 20 from paired normal lung tissue samples. No replicates or control samples included.
2014-03-10 | E-GEOD-48414 | biostudies-arrayexpress
Project description:Background: Patient-derived xenograft (PDX) models are a useful tool in cancer biology research. However, the number of lung cancer PDXs is limited Results: In the present study, we successfully established ten PDXs, including three adenocarcinoma (AD), six squamous cell carcinoma (SQ) and one large cell carcinoma (LA), from 30 patients with non-small cell lung cancer (NSCLC) (18 AD, 10 SQ, and 2 LA), mainly in SHO mice (Crlj:SHO-PrkdcscidHrhr). Histology of SQ, advanced clinical stage (III-IV), status of lymph node metastasis (N2-3), and maximum standardized uptake value (SUVmax) ≧10 when evaluated using a delayed 18F-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) scan, was associated with successful PDX establishment. Histological analyses revealed that PDXs showed a histology similar to that of patients’ surgically resected tumors (SRTs), while components of the microenvironments were replaced with murine cells after several passages. Next generation sequencing and microarray analyses demonstrated that after 2 to 6 passages, PDXs preserved the majority of the somatic mutations and mRNA expressions of the corresponding SRTs. Two out of three PDXs with AD histology had EGFR mutations (L858R or exon19 deletion) and were sensitive to EGFR tyrosine kinase inhibitors (EGFR-TKIs), such as gefitinib and osimertinib. Furthermore, in one of the two PDXs with an EGFR mutation, osimertinib resistance was induced that was associated with epithelial-to-mesenchymal transition. Conclusions: This study presented ten serially transplantable PDXs of NSCLC in SHO mice and demonstrated the use of PDXs with an EGFR mutation for analyses of EGFR-TKI resistance.
2019-09-12 | GSE130160 | GEO
Project description:Lung cancer continues to be the leading cause of cancer mortality worldwide. The treatment of lung cancer patients harboring mutant EGFR with orally administered EGFR TKIs has been a paradigm shift. Osimertinib and rociletinib are two 3rd generation irreversible EGFR TKIs targeting the EGFR T790M mutation. Osimertinib is the current standard care for patients with EGFR mutations due to increased efficacy, lower side effects, and enhanced brain penetrance. Unfortunately, all patients develop resistance to it. Genomic approaches have primarily been used to interrogate resistance mechanisms. Here, we have characterized the proteome and phosphoproteome of a series of isogenic EGFR mutant lung adenocarcinoma cell lines that are either sensitive or resistant to these drugs. To our knowledge, this is the most comprehensive proteomic dataset resource to date to investigate 3rd generation EGFR TKI resistance in lung adenocarcinoma. We have interrogated this unbiased global quantitative proteomic and phosphoproteomic dataset to uncover alterations in signaling pathways, and to reveal a proteomic signature of EMT and kinases / phosphatases with altered protein expression and phosphorylation in the TKI resistant cells. We validated the significant role of SHP2 in the activation of RAS/MAPK and PI3K/AKT signaling pathways. Furthermore, we performed anticorrelation analyses of this phosphoproteomic dataset with the published drug-induced P100 phosphoproteomic datasets from the Library of Integrated Network-Based Cellular Signatures (LINCS) program to predict drugs with the potential to overcome EGFR TKI resistance. We identified that dactolisib, a PI3K/mTOR inhibitor, in combination with osimertinib, may overcome osimertinib resistance both in vitro and in vivo. Introduction Lung cancer continues to be the leading cause of cancer mortality in the world (1). Many lung adenocarcinoma patients with activating epidermal growth factor receptor (EGFR) mutations initially respond dramaticlly to the first- or second-generation EGFR tyrosine kinase inhibitors (TKIs). However, they eventually develop resistance. The most common mechanism of acquired resistance is the EGFR T790M gatekeeper site residue mutation (2). Osimertinib, a third generation irreversible EGFR TKI has been approved by the FDA to treat patients harboring the EGFR T790M mutation who have developed resistance to first- and second- generation EGFR TKIs (3). Recently, osimertinib was also approved for the front-line treatment of patients harboring EGFR mutations (4). Rociletinib is another irreversible inhibitor targeting the EGFR T790M mutation, which has minimal activity against wild-type EGFR. Both drugs have therapeutic benefits and have demonstrated activity in tumors with T790M-mediated resistance to other EGFR tyrosine kinase inhibitors (5, 6). Further development of rociletinib was ceased in 2016 due to less than expected efficacy, poor brain penetration leading to tumor progression in brain tissues and off-target effects on IGFR activation leading to hyperglycemia (7, 8). Although 3rd-generation TKIs provide clinical benefit to most patients with EGFR mutations, some patients, demonstrating primary resistance, still do not respond to these inhibitors. Complete responses are rare, and all patients eventually develop resistance, suggesting primary and acquired resistance mechanisms decrease the efficacy of the drugs (9, 10). Genomic approaches have been used primarily to interrogate osimertinib resistance mechanisms (9, 11-15). Several mechanisms of osimertinib resistance have been identified (16), including novel second site EGFR mutations, activated bypass pathways such as MET amplification, HER2 amplification, RAS mutations, BRAF mutations, PIK3CA mutations, and novel fusion events (17). However, the resistance mechanism is complex and still not fully understood. Previously, we have used SILAC-based quantitative phosphoproteomics to identify the global dynamic modification which occur upon treatment of TKI-sensitive and -resistant lung adenocarcinoma cells with the 1st and 2nd generation EGFR TKIs, erlotinib and afatinib. Utilizing this strategy, we identified the targets of mutant EGFR signaling pathways responsible for TKI resistance, and possible off-target effects of the drugs (18, 19). In this study, we employed SILAC-based quantitative mass spectrometry to characterize alterations in the proteome and phosphoproteome which occur upon acquired resistance and sought to identify novel mechanisms of resistance to the third generation EGFR TKIs, osimertinib and rociletinib. To our knowledge, this is the most comprehensive 3rd generation EGFR TKI resistant proteome and phosphoproteome analysis resource available to date.
2021-03-11 | PXD020108 | Pride