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Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays
Published on: September 19, 2018
Receptor Tyrosine Kinase Signaling Networks Define Sensitivity to ERBB Inhibition and Stratify Kras-Mutant Lung
Sarang S Talwelkar1, Ashwini S Nagaraj1, Jennifer R Devlin1
1Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Abstract:
Most non-small cell lung cancers (NSCLC) contain nontargetable mutations, including KRAS, TP53, or STK11/LKB1 alterations. By coupling ex vivo drug sensitivity profiling with in vivo drug response studies, we aimed to identify drug vulnerabilities for these NSCLC subtypes. Primary adenosquamous carcinoma (ASC) or adenocarcinoma (AC) cultures were established from Kras (KL) tumors or AC cultures from Kras (KP) tumors. Although p53-null cells readily propagated as conventional cultures, Lkb1-null cells required conditional reprograming for establishment. Drug response profiling revealed short-term response to MEK inhibition, yet long-term clonogenic assays demonstrated resistance, associated with sustained or adaptive activation of receptor tyrosine kinases (RTK): activation of ERBBs in KL cultures, or FGFR in AC cultures. Furthermore, pan-ERBB inhibition reduced the clonogenicity of KL cultures, which was exacerbated by combinatorial MEK inhibition, whereas combinatorial MEK and FGFR inhibition suppressed clonogenicity of AC cultures. Importantly, in vivo studies confirmed KL-selective sensitivity to pan-ERBB inhibition, which correlated with high ERBB ligand expression and activation of ERBB receptors, implying that ERBB network activity may serve as a predictive biomarker of drug response. Interestingly, in human NSCLCs, phosphorylation of EGFR or ERBB3 was frequently detected in ASCs and squamous cell carcinomas. We conclude that analysis of in situ ERBB signaling networks in conjunction with ex vivo drug response profiling and biochemical dissection of adaptive RTK activities may serve as a valid diagnostic approach to identify tumors sensitive to ERBB network inhibition.
Insights
Most non-small cell lung cancers (NSCLC) with KRAS mutations are resistant to MEK inhibitors. However, targeting ERBB signaling pathways shows promise for treating these NSCLC subtypes, suggesting ERBB network activity as a predictive biomarker.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Therapeutics
Background:
- Most non-small cell lung cancers (NSCLC) harbor mutations in KRAS, TP53, or STK11/LKB1, often rendering them untargetable with current therapies.
- Identifying novel drug vulnerabilities in these NSCLC subtypes is critical for improving patient outcomes.
Purpose of the Study:
- To identify drug vulnerabilities in non-small cell lung cancers (NSCLC) with KRAS mutations by combining ex vivo drug sensitivity profiling with in vivo drug response studies.
- To investigate the role of receptor tyrosine kinase (RTK) activation in acquired resistance to MEK inhibition in NSCLC.
Main Methods:
- Established primary adenosquamous carcinoma (ASC) and adenocarcinoma (AC) cell cultures from Kras (KL) and Kras (KP) mutant tumors.
- Utilized conditional reprogramming for Lkb1-null cell line establishment.
- Performed ex vivo drug sensitivity profiling and in vivo drug response studies, including clonogenic assays and analysis of RTK signaling networks.
Main Results:
- While KRAS-mutant NSCLC cultures showed initial sensitivity to MEK inhibition, long-term assays revealed resistance mediated by adaptive activation of ERBBs (in KL cultures) or FGFR (in AC cultures).
- Pan-ERBB inhibition demonstrated efficacy in KL cultures, particularly when combined with MEK inhibition.
- Combinatorial MEK and FGFR inhibition suppressed clonogenicity in AC cultures.
- In vivo studies confirmed sensitivity to pan-ERBB inhibition in KRAS-mutant NSCLC, correlating with ERBB ligand expression and receptor activation, suggesting ERBB network activity as a predictive biomarker.
Conclusions:
- ERBB network activity can serve as a predictive biomarker for response to pan-ERBB inhibition in specific NSCLC subtypes.
- Analysis of in situ ERBB signaling networks, combined with ex vivo drug profiling, offers a diagnostic approach to identify NSCLC tumors sensitive to ERBB network-targeted therapies.
- Targeting adaptive RTK activation is crucial for overcoming resistance in KRAS-mutant NSCLC.
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