CXCR7 Reactivates ERK Signaling to Promote Resistance to EGFR Kinase Inhibitors in NSCLC

2019

Abstract Although EGFR mutant–selective tyrosine kinase inhibitors (TKI) are clinically effective, acquired resistance can occur by reactivating ERK. We show using in vitro models of acquired EGFR TKI resistance with a mesenchymal phenotype that CXCR7, an atypical G protein-coupled receptor, activates the MAPK–ERK pathway via β-arrestin. Depletion of CXCR7 inhibited the MAPK pathway, significantly attenuated EGFR TKI resistance, and resulted in mesenchymal-to-epithelial transition. CXCR7 overexpression was essential in reactivation of ERK1/2 for the generation of EGFR TKI–resistant persister cells. Many patients with non–small cell lung cancer (NSCLC) harboring an EGFR kinase domain mutatio…

P1.03-26 Genetic and Molecular Profiling of Non-Smoking Related Lung Adenocarcinomas

2019

Abstract LB-099: Metabolic vulnerabilities of mesenchymal-like EGFR-mutant NSCLC cells with acquired resistance to tyrosine kinase inhibitors

2018

Abstract Despite the availability of the effective targeted therapies in lung cancer, such as EGFR tyrosine kinase inhibitors (TKIs), drug tolerance and acquired resistance are two common problems that negatively impact lung cancer patient survival. Consequently it is important to understand the molecular basis of the drug tolerance and resistance so that we could formulate effective strategies to ameliorate the efficacy of existing drug and to suppress the emergence of drug resistance. A burgeoning body of literature demonstrated that epigenetic changes by the methylation of DNA and histones are critical in acquired drug resistance, especially in those cancer cells with stem cell-like prop…

ANGIOMET: Analysis of the correlations between angiogenic markers and outcome in patients (p) with advanced nonsquamous NSCLC (NS-NSCLC) treated with…

2014

e19014 Background: In NS-NSCLC CPB achieved median OS > 1 y and supported use of B. A broad range of predictive/prognostic markers explored for B use. In VEGF pathway ligands and receptors play an ...

Endothelin-1-Mediated Drug Resistance in EGFR-Mutant Non-Small Cell Lung Carcinoma.

2020

Abstract Progression on therapy in non-small cell lung carcinoma (NSCLC) is often evaluated radiographically, however, image-based evaluation of said therapies may not distinguish disease progression due to intrinsic tumor drug resistance or inefficient tumor penetration of the drugs. Here we report that the inhibition of mutated EGFR promotes the secretion of a potent vasoconstrictor, endothelin-1 (EDN1), which continues to increase as the cells become resistant with a mesenchymal phenotype. As EDN1 and its receptor (EDNR) is linked to cancer progression, EDNR-antagonists have been evaluated in several clinical trials with disappointing results. These trials were based on a hypothesis that…

LungBEAM: A prospective multicenter study to monitor stage IV NSCLC patients with EGFR mutations using BEAMing technology

2021

Abstract Objectives The aim of LungBEAM was to determine the value of a novel epidermal growth factor receptor (EGFR) mutation test in blood based on BEAMing technology to predict disease progression in advanced non‐small cell lung cancer (NSCLC) patients treated with first‐ or second‐generation EGFR‐tyrosine kinase inhibitors (EGFR‐TKIs). Another goal was to monitor the dynamics of EGFR mutations, as well as to track EGFR exon 20 p.T790M (p.T790M) resistance during treatment, as critical indicators of therapeutic efficacy and patient survival. Methods Stage IV NSCLC patients with locally confirmed EGFR‐TKI sensitizing mutations (ex19del and/or L858R) in biopsy tissue who were candidates to…

Snps in Angiogenic Factors As Predictive Markers for Outcome in Patients (P) with Advanced Non-Squamous Nsclc (NS-NSCLC) Treated with Carboplatin, Pa…

2015

LipidMS: An R Package for Lipid Annotation in Untargeted Liquid Chromatography-Data Independent Acquisition-Mass Spectrometry Lipidomics.

2018

High resolution LC-MS untargeted lipidomics using data independent acquisition (DIA) has the potential to increase lipidome coverage, as it enables the continuous and unbiased acquisition of all eluting ions. However, the loss of the link between the precursor and the product ions combined with the high dimensionality of DIA data sets hinder accurate feature annotation. Here, we present LipidMS, an R package aimed to confidently identify lipid species in untargeted LC-DIA-MS. To this end, LipidMS combines a coelution score, which links precursor and fragment ions with fragmentation and intensity rules. Depending on the MS evidence reached by the identification function survey, LipidMS provi…