Next-Generation Sequencing Reveals Pathway Activations and New Routes to Targeted Therapies in Cutaneous Metastatic Melanoma
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Updated: Mar 9, 2026

A 3D Organotypic Melanoma Spheroid Skin Model
Published on: May 18, 2018
J Andrew Carlson1, Jose Candido Caldeira Xavier, Ashley Tarasen
1*Professor of Pathology and Dermatology, Albany Medical College, Albany, NY; †Pathology Resident, Unversidade Estadual Paulista, Botucatu, Brazil; ‡Pathology Resident, Albany Medical College, Albany, NY; §Director of Research, Associate Professor, Department of Pathology, Albany, Medical College, Albany, NY; ¶Research and Development, Foundation Medicine, Inc, Cambridge, MA; ‖Chief Medical Officer, Foundation Medicine, Inc, Cambridge, MA; #Chief Scientific Officer, Foundation Medicine, Inc, Cambridge, MA; **Associate Medical Officer, Foundation Medicine, Inc, Cambridge, MA; ††Associate Medical Director, Foundation Medicine, Inc, Cambridge, MA; ‡‡Research Scientist, Foundation Medicine, Inc, Cambridge, MA; §§Chief, Professor of Pathology, Albany, Medical College, Albany, NY; and ¶¶Medical Director, Foundation Medicine, Inc, Cambridge, MA.
Background:
Comprehensive genomic profiling of clinical samples by next-generation sequencing (NGS) can identify one or more therapy targets for the treatment of metastatic melanoma (MM) with a single diagnostic test.
Methods:
NGS was performed on hybridization-captured, adaptor ligation-based libraries using DNA extracted from 4 formalin-fixed paraffin-embedded sections cut at 10 microns from 30 MM cases. The exons of 182 cancer-related genes were fully sequenced using the Illumina HiSeq 2000 at an average sequencing depth of 1098X and evaluated for genomic alterations (GAs) including point mutations, insertions, deletions, copy number alterations, and select gene fusions/rearrangements. Clinically relevant GAs (CRGAs) were defined as those identifying commercially available targeted therapeutics or therapies in registered clinical trials.
Results:
The 30 American Joint Committee on Cancer Stage IV MM included 17 (57%) male and 13 (43%) female patients with a mean age of 59.5 years (range 41-83 years). All MM samples had at least 1 GA, and an average of 2.7 GA/sample (range 1-7) was identified. The mean number of GA did not differ based on age or sex; however, on average, significantly more GAs were identified in amelanotic and poorly differentiated MM. GAs were most commonly identified in BRAF (12 cases, 40%), CDKN2A (6 cases, 20%), NF1 (8 cases, 26.7%), and NRAS (6 cases, 20%). CRGAs were identified in all patients, and represented 77% of the GA (64/83) detected. The median and mean CRGAs per tumor were 2 and 2.1, respectively (range 1-7).
Conclusion:
Comprehensive genomic profiling of MM, using a single diagnostic test, uncovers an unexpectedly high number of CRGA that would not be identified by standard of care testing. Moreover, NGS has the potential to influence therapy selection and can direct patients to enter relevant clinical trials evaluating promising targeted therapies.
Insights
Next-generation sequencing (NGS) identified clinically relevant genomic alterations (CRGAs) in all metastatic melanoma (MM) patients, revealing more targets than standard tests. This comprehensive genomic profiling aids therapy selection and clinical trial enrollment for advanced melanoma.
Area of Science:
- Oncology
- Genomics
- Molecular Diagnostics
Background:
- Metastatic melanoma (MM) treatment can be guided by comprehensive genomic profiling.
- Next-generation sequencing (NGS) offers a single test to identify multiple therapy targets.
- Genomic alterations (GAs) are crucial for personalized cancer therapy.
Purpose of the Study:
- To evaluate the utility of NGS for comprehensive genomic profiling in metastatic melanoma.
- To identify clinically relevant genomic alterations (CRGAs) for targeted therapy selection.
- To assess the number and type of GAs in MM using a single diagnostic test.
Main Methods:
- DNA from 30 metastatic melanoma (MM) formalin-fixed paraffin-embedded samples was analyzed.
- Next-generation sequencing (NGS) targeted 182 cancer-related genes at high depth (1098X).
- Genomic alterations (GAs) including mutations, copy number alterations, and fusions were identified.
Main Results:
- All 30 MM samples harbored at least one GA, with an average of 2.7 GAs per sample.
- Clinically relevant GAs (CRGAs) were detected in all patients, comprising 77% of all identified GAs.
- BRAF, CDKN2A, NF1, and NRAS were the most frequently altered genes.
Conclusions:
- Comprehensive genomic profiling via NGS identifies a high number of CRGAs in MM, exceeding standard testing capabilities.
- NGS can significantly influence therapeutic decisions for metastatic melanoma patients.
- This approach facilitates patient enrollment in clinical trials for targeted therapies.
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