Expression data from durvalumab, oleclumab and combo-treated xenograft NSCLC tumors
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE190731 | GEO | 2022/02/23
REPOSITORIES: GEO
Similar Datasets
Project description:Expression data from durvalumab, oleclumab and combo-treated xenograft NSCLC tumors
| PRJNA788281 | ENA
Project description:An unmet need in cancer treatment is identification of biomarkers of response to PD-1 or PD-L1 immune checkpoint inhibitors that predict therapeutic outcomes in patients with non–small-cell lung carcinoma (NSCLC) and urothelial cancer (UC). Expression of PD-L1 measured by immunohistochemistry has limited capacity for predicting outcomes of immune checkpoint therapy because expression of this biomarker does not correlate highly with treatment response. In addition, PD-L1 as measured on tumor cells, which has been approved by the FDA for both companion and complementary diagnostic utility, does not necessarily reflect anti-tumor activity of tumor-infiltrating lymphocytes. Results presented in this report demonstrate that gene expression levels of four interferon gamma (IFNγ)-inducible mRNAs correlate with improved clinical outcomes in patients with NSCLC or UC treated with the PD-L1 inhibitor durvalumab. This IFNγ gene signature may augment the predictive value of PD-L1 and other biomarkers in identifying cancer patients most likely to respond to therapy with durvalumab or other immune checkpoint inhibitors.
2018-02-14 | GSE110390 | GEO
Project description:Despite initial and often dramatic responses of epidermal growth factor receptor (EGFR)-addicted lung tumors to the EGFR-specific tyrosine kinase inhibitors (TKIs), gefitinib and erlotinib, nearly all develop resistance and relapse. To explore novel mechanisms mediating acquired resistance, we employed non-small-cell lung cancer (NSCLC) cell lines bearing activating mutations in EGFR and rendered them resistant to EGFR-specific TKIs through chronic adaptation in tissue culture. In addition to previously observed resistance mechanisms including EGFR-T790M 'gate-keeper' mutations and MET amplification, a subset of the seven chronically adapted NSCLC cell lines including HCC4006, HCC2279 and H1650 cells exhibited marked induction of fibroblast growth factor (FGF) 2 and FGF receptor 1 (FGFR1) mRNA and protein. Also, adaptation to EGFR-specific TKIs was accompanied by an epithelial to mesenchymal transition (EMT) as assessed by changes in CDH1, VIM, ZEB1 and ZEB2 expression and altered growth properties in Matrigel. In adapted cell lines exhibiting increased FGF2 and FGFR1 expression, measures of growth and signaling, but not EMT, were blocked by FGFR-specific TKIs, an FGF-ligand trap and FGFR1 silencing with RNAi. In parental HCC4006 cells, cell growth was strongly inhibited by gefitinib, although drug-resistant clones progress within 10 days. Combined treatment with gefitinib and AZD4547, an FGFR-specific TKI, prevented the outgrowth of drug-resistant clones. Thus, induction of FGF2 and FGFR1 following chronic adaptation to EGFR-specific TKIs provides a novel autocrine receptor tyrosine kinase-driven bypass pathway in a subset of lung cancer cell lines that are initially sensitive to EGFR-specific TKIs. The findings support FGFR-specific TKIs as potentially valuable additions to existing targeted therapeutic strategies with EGFR-specific TKIs to prevent or delay acquired resistance in EGFR-driven NSCLC. Examination of mRNA levels in DMSO and gefitinib-resistant cultures of HCC4006 and HCC827. Each group has two replicates.
2016-03-29 | E-GEOD-79688 | biostudies-arrayexpress
Project description:Bidkhori2012 - EGFR signalling in NSCLC
The paper describes and compares two models on EGFR signalling between normal and NSCLC cells. Moreover, it is shown that ERK (MAPK), STAT and Akt factor's activation pattern are different between normal and NSCLA models. This model corresponds to EGFR signalling in NSCLA cells.
Created by The MathWorks, Inc. SimBiology tool, Version 3.3
This model is described in the article:
Modeling of tumor progression in NSCLC and intrinsic resistance to TKI in loss of PTEN expression.
Bidkhori G, Moeini A, Masoudi-Nejad A
PloS one [2012, 7(10):e48004]
Abstract:
EGFR signaling plays a very important role in NSCLC. It activates Ras/ERK, PI3K/Akt and STAT activation pathways. These are the main pathways for cell proliferation and survival. We have developed two mathematical models to relate to the different EGFR signaling in NSCLC and normal cells in the presence or absence of EGFR and PTEN mutations. The dynamics of downstream signaling pathways vary in the disease state and activation of some factors can be indicative of drug resistance. Our simulation denotes the effect of EGFR mutations and increased expression of certain factors in NSCLC EGFR signaling on each of the three pathways where levels of pERK, pSTAT and pAkt are increased. Over activation of ERK, Akt and STAT3 which are the main cell proliferation and survival factors act as promoting factors for tumor progression in NSCLC. In case of loss of PTEN, Akt activity level is considerably increased. Our simulation results show that in the presence of erlotinib, downstream factors i.e. pAkt, pSTAT3 and pERK are inhibited. However, in case of loss of PTEN expression in the presence of erlotinib, pAkt level would not decrease which demonstrates that these cells are resistant to erlotinib.
This model is hosted on BioModels Database
and identified
by: MODEL1304020001
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2013-05-13 | BIOMD0000000453 | BioModels
Project description:Bidkhori2012 - normal EGFR signalling
The paper describes and compares two models on EGFR signalling between normal and NSCLC cells. Moreover, it is shown that ERK (MAPK), STAT and Akt factor's activation pattern are different between normal and NSCLA models. This model corresponds to EGFR signalling in normal cells.
Created by The MathWorks, Inc. SimBiology tool, Version 3.3
This model is described in the article:
Modeling of tumor progression in NSCLC and intrinsic resistance to TKI in loss of PTEN expression.
Bidkhori G, Moeini A, Masoudi-Nejad A
PloS one [2012, 7(10):e48004]
Abstract:
EGFR signaling plays a very important role in NSCLC. It activates Ras/ERK, PI3K/Akt and STAT activation pathways. These are the main pathways for cell proliferation and survival. We have developed two mathematical models to relate to the different EGFR signaling in NSCLC and normal cells in the presence or absence of EGFR and PTEN mutations. The dynamics of downstream signaling pathways vary in the disease state and activation of some factors can be indicative of drug resistance. Our simulation denotes the effect of EGFR mutations and increased expression of certain factors in NSCLC EGFR signaling on each of the three pathways where levels of pERK, pSTAT and pAkt are increased. Over activation of ERK, Akt and STAT3 which are the main cell proliferation and survival factors act as promoting factors for tumor progression in NSCLC. In case of loss of PTEN, Akt activity level is considerably increased. Our simulation results show that in the presence of erlotinib, downstream factors i.e. pAkt, pSTAT3 and pERK are inhibited. However, in case of loss of PTEN expression in the presence of erlotinib, pAkt level would not decrease which demonstrates that these cells are resistant to erlotinib.
This model is hosted on BioModels Database
and identified
by: MODEL1304020000
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2013-05-13 | BIOMD0000000452 | BioModels
Project description:Despite initial and often dramatic responses of epidermal growth factor receptor (EGFR)-addicted lung tumors to the EGFR-specific tyrosine kinase inhibitors (TKIs), gefitinib and erlotinib, nearly all develop resistance and relapse. To explore novel mechanisms mediating acquired resistance, we employed non-small-cell lung cancer (NSCLC) cell lines bearing activating mutations in EGFR and rendered them resistant to EGFR-specific TKIs through chronic adaptation in tissue culture. In addition to previously observed resistance mechanisms including EGFR-T790M 'gate-keeper' mutations and MET amplification, a subset of the seven chronically adapted NSCLC cell lines including HCC4006, HCC2279 and H1650 cells exhibited marked induction of fibroblast growth factor (FGF) 2 and FGF receptor 1 (FGFR1) mRNA and protein. Also, adaptation to EGFR-specific TKIs was accompanied by an epithelial to mesenchymal transition (EMT) as assessed by changes in CDH1, VIM, ZEB1 and ZEB2 expression and altered growth properties in Matrigel. In adapted cell lines exhibiting increased FGF2 and FGFR1 expression, measures of growth and signaling, but not EMT, were blocked by FGFR-specific TKIs, an FGF-ligand trap and FGFR1 silencing with RNAi. In parental HCC4006 cells, cell growth was strongly inhibited by gefitinib, although drug-resistant clones progress within 10 days. Combined treatment with gefitinib and AZD4547, an FGFR-specific TKI, prevented the outgrowth of drug-resistant clones. Thus, induction of FGF2 and FGFR1 following chronic adaptation to EGFR-specific TKIs provides a novel autocrine receptor tyrosine kinase-driven bypass pathway in a subset of lung cancer cell lines that are initially sensitive to EGFR-specific TKIs. The findings support FGFR-specific TKIs as potentially valuable additions to existing targeted therapeutic strategies with EGFR-specific TKIs to prevent or delay acquired resistance in EGFR-driven NSCLC.
2016-03-29 | GSE79688 | GEO
Project description:Durvalumab with olaparib was one of the experimental regimens evaluated in I-SPY 2, a neoadjuvant platform trial for high risk, early stage breast cancer, and graduated in the HER2- and HR+HER2- signatures. We hypothesized that (pre-treatment) expression-based immune signatures may predict response to the immune checkpoint inhibitor durvalumab and signatures related to DNA repair deficiency (DRD) may associate with response to olaparib. In this analysis, we assessed 13 expression based signatures related to immune, DRD, proliferation and estrogen signaling as specific predictor of pathologic complete response (pCR) to durvalumab/olaparib.
2021-06-10 | GSE173839 | GEO
Project description:Immune checkpoint blockade with anti–PD-1/L1 or anti–CTLA-4 therapies has shown promising results across multiple cancer types, but the mechanisms within the tumor microenvironment (TME) have not been fully characterized. We used single-cell RNA sequencing to investigate the effects of anti–PD-L1 monoclonal antibody (mAb) durvalumab (D) alone and combined with an anti–CTLA-4 mAb, tremelimumab (T), on distinct subsets of immune cells. Upon treatment with D or D+T, two NSCLC tumors showed elevated IFNγ responses, although they differed in magnitude of response but differed in other areas. Our results highlight that D and D+T in the TME have some consistent effects across tumors but also exhibit tumor-specific effects depending on composition and functional state of immune cells in the TME at time of treatment. This complex tumor-specific interplay of diverse immune subtypes in the TME is critical to better understand patient response to immunotherapy.
2021-09-01 | GSE131933 | GEO
Project description:Randomized phase II trial patients with early-stage non-small cell lung cancer were treated with either two preoperative cycles of the anti-PD-L1 antibody durvalumab alone or combined with immunomodulatory doses of stereotactic radiation. We report, based on transcriptome analyses of resected tumors, a correlation between an increase of immune pathway genes and freedom from recurrence.
2023-11-26 | GSE248378 | GEO
Project description:Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have been recommended as the first line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. However, acquired resistance to EGFR-TKIs is inevitable. Although anti- programmed cell death 1 (PD-1)/PD-ligand (PD-L1) immunotherapies have achieved great clinical success as second-line treatment for many cancer types, the clinical efficacy of anti-PD-1/PD-L1 blockades in EGFR mutated NSCLC patients has been demonstrated to be obviously lower than those without EGFR mutations. Here, we reported an advanced NSCLC patient with exon 19 deletion and T790M EGFR mutation benefitting from anti-PD-1 blockade therapy after acquiring resistance to EGFR-TKI. We characterized the mutational landscape of the patient with next-generation sequencing (NGS), and successfully identified neoantigen-specific T cell clones derived from EGFR exon 19 deletion, TP53 A116T and DENND6B R398Q mutations. Our findings support the potential application of immune checkpoint blockades in NSCLC patients with acquired resistance to EGFR-TKIs in the context of specific clonal neoantigens with high immunogenicity. Personalized immunomodulatory therapy targeting these neoantigens should be explored for better clinical outcomes in EGFR mutant NSCLC patients.
2020-06-30 | GSE150972 | GEO