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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
Mutation type, tyrosine kinase function in normal cell and tyrosine kinase inhibitor activity in cancers
H Vanacker1,2, P A Cassier1,2, A Dufresne1,2
1Centre Léon Bérard, rue Laennec, Lyon, 69008, France.
Abstract:
The clinical activity of tyrosine kinase inhibitors (TKI) varies across cancer types of cancers bearing similar receptor tyrosine kinase (RTK) mutations. Analyzing public databases, we tested the hypothesis that RTK function in normal cell could predict for TKI activity in the corresponding cancer. Classes of alterations for 16 RTK (missense mutations, amplifications, translocations) were analyzed in 17 different solid tumors, and tested as biomarkers of TKI efficacy in pivotal trials. Single agent TKI activity was minimal in cancers bearing RTK amplification. TKI activity was found correlated with the type RTK mutation but also to the functional role of the RTK in normal cell. A missense mutation of an RTK correlated with TKI efficacy when the RTK exerts an important function in the corresponding normal cell. Conversely, translocations were tissue-agnostic biomarkers, independent of RTK function in normal cells. These results provide guidance for the selection of cancers for development of novel targeted treatments.
Insights
The function of receptor tyrosine kinases (RTKs) in normal cells can predict the effectiveness of tyrosine kinase inhibitors (TKIs) in corresponding cancers. This finding aids in selecting cancers for developing new targeted cancer treatments.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Clinical activity of tyrosine kinase inhibitors (TKIs) varies in cancers with similar receptor tyrosine kinase (RTK) mutations.
- Predicting TKI efficacy remains a challenge in precision oncology.
Purpose of the Study:
- To test if RTK function in normal cells can predict TKI activity in corresponding cancers.
- To identify biomarkers for TKI efficacy in solid tumors.
Main Methods:
- Analyzed 16 RTKs across 17 solid tumors using public databases.
- Investigated RTK alterations (missense mutations, amplifications, translocations) as biomarkers for TKI efficacy in pivotal trials.
Main Results:
- TKIs showed minimal activity in cancers with RTK amplification.
- TKI efficacy correlated with RTK mutation type and the RTK's role in normal cells.
- Missense mutations predicted TKI efficacy when RTKs are crucial in normal cells; translocations were tissue-agnostic.
Conclusions:
- RTK function in normal cells is a predictive biomarker for TKI efficacy.
- Mutation type and cellular context influence TKI response.
- Guidance for selecting cancers for novel targeted therapy development.
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