Related Experiment Video
Updated: Apr 17, 2026

A Melanoma Patient-Derived Xenograft Model
Published on: May 20, 2019
Co-clinical assessment identifies patterns of BRAF inhibitor resistance in melanoma
Abstract:
Multiple mechanisms have been described that confer BRAF inhibitor resistance to melanomas, yet the basis of this resistance remains undefined in a sizable portion of patient samples. Here, we characterized samples from a set of patients with melanoma that included individuals at baseline diagnosis, on BRAF inhibitor treatment, and with resistant tumors at both the protein and RNA levels. Using RNA and DNA sequencing, we identified known resistance-conferring mutations in 50% (6 of 12) of the resistant samples. In parallel, targeted proteomic analysis by protein array categorized the resistant samples into 3 stable groups, 2 of which were characterized by reactivation of MAPK signaling to different levels and 1 that was MAPK independent. The molecular relevance of these classifications identified in patients was supported by both mutation data and the similarity of resistance patterns that emerged during a co-clinical trial in a genetically engineered mouse (GEM) model of melanoma that recapitulates the development of BRAF inhibitor resistance. Additionally, we defined candidate biomarkers in pre- and early-treatment patient samples that have potential for predicting clinical responses. On the basis of these observations, we suggest that BRAF inhibitor-resistant melanomas can be actionably classified using protein expression patterns, even without identification of the underlying genetic alteration.
Insights
BRAF inhibitor resistance in melanoma is complex. This study found that protein patterns can classify resistant melanomas, even when genetic causes are unclear, offering new diagnostic and treatment avenues.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- BRAF inhibitor resistance is a significant challenge in melanoma treatment.
- The genetic basis for resistance is not fully understood in all patients.
Purpose of the Study:
- To investigate the molecular mechanisms underlying BRAF inhibitor resistance in melanoma.
- To identify potential biomarkers for predicting treatment response.
Main Methods:
- RNA and DNA sequencing of patient samples (baseline, treatment, resistant).
- Targeted proteomic analysis using protein arrays.
- Co-clinical trials in a genetically engineered mouse (GEM) model.
Main Results:
- Known resistance mutations identified in 50% of resistant samples.
- Proteomic analysis revealed 3 distinct resistance groups: 2 MAPK-reactivated and 1 MAPK-independent.
- Candidate predictive biomarkers were identified in pre- and early-treatment samples.
Conclusions:
- Melanoma resistance to BRAF inhibitors can be classified by protein expression patterns.
- Protein-based classification is valuable even without identifying specific genetic alterations.
- This approach may guide personalized treatment strategies for resistant melanoma.
Related Concept Videos
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Treatment Resistent Cancers
Skin Cancer
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
Treatment Resistant Cancers
Adaptive Mechanisms in Cancer Cells
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells

