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Published on: July 17, 2019
Biomarker Accessible and Chemically Addressable Mechanistic Subtypes of BRAF Melanoma
Banu Eskiocak1, Elizabeth A McMillan1, Saurabh Mendiratta1
1Department of Cell Biology, The University of Texas Southwestern Medical Center, Dallas, Texas.
Abstract:
Genomic diversity among melanoma tumors limits durable control with conventional and targeted therapies. Nevertheless, pathologic activation of the ERK1/2 pathway is a linchpin tumorigenic mechanism associated with the majority of primary and recurrent disease. Therefore, we sought to identify therapeutic targets that are selectively required for tumorigenicity in the presence of pathologic ERK1/2 signaling. By integration of multigenome chemical and genetic screens, recurrent architectural variants in melanoma tumor genomes, and patient outcome data, we identified two mechanistic subtypes of BRAFV600 melanoma that inform new cancer cell biology and offer new therapeutic opportunities. Subtype membership defines sensitivity to clinical MEK inhibitors versus TBK1/IKBKε inhibitors. Importantly, subtype membership can be predicted using a robust quantitative five-feature genetic biomarker. This biomarker, and the mechanistic relationships linked to it, can identify a cohort of best responders to clinical MEK inhibitors and identify a cohort of TBK1/IKBKε inhibitor-sensitive disease among nonresponders to current targeted therapy.Significance: This study identified two mechanistic subtypes of melanoma: (1) the best responders to clinical BRAF/MEK inhibitors (25%) and (2) nonresponders due to primary resistance mechanisms (9.9%). We identified robust biomarkers that can detect these subtypes in patient samples and predict clinical outcome. TBK1/IKBKε inhibitors were selectively toxic to drug-resistant melanoma. Cancer Discov; 7(8); 832-51. ©2017 AACR.See related commentary by Jenkins and Barbie, p. 799This article is highlighted in the In This Issue feature, p. 783.
Insights
Genomic diversity in melanoma creates treatment resistance. This study identifies two subtypes of BRAF V600 melanoma, predicting response to MEK or TBK1/IKKε inhibitors using a genetic biomarker.
Area of Science:
- Oncology
- Cancer Genomics
- Drug Discovery
Background:
- Melanoma exhibits genomic diversity, hindering durable treatment control.
- Pathologic activation of the ERK1/2 pathway is a key mechanism in most melanoma.
- Identifying targets specific to ERK1/2-driven tumorigenesis is crucial for new therapies.
Purpose of the Study:
- To identify therapeutic targets selectively required for tumorigenicity in the context of aberrant ERK1/2 signaling.
- To define mechanistic subtypes of BRAF V600 melanoma based on distinct therapeutic vulnerabilities.
- To develop a predictive biomarker for patient stratification and treatment selection.
Main Methods:
- Integration of multi-genome chemical and genetic screens.
- Analysis of recurrent genomic architectural variants in melanoma.
- Correlation of genomic data with patient outcome data.
Main Results:
- Two mechanistic subtypes of BRAF V600 melanoma were identified.
- Subtype membership correlates with differential sensitivity to MEK inhibitors versus TBK1/IKKε inhibitors.
- A five-feature genetic biomarker accurately predicts subtype and clinical response, identifying MEK inhibitor responders and TBK1/IKKε inhibitor-sensitive resistant populations.
Conclusions:
- This study defines two distinct mechanistic subtypes of melanoma, impacting treatment response.
- A robust biomarker enables prediction of patient response to targeted therapies.
- TBK1/IKKε inhibitors show selective toxicity against drug-resistant melanoma, offering a new therapeutic avenue.
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