| Literature DB >> 21479172 |
Smruti J Vidwans1, Keith T Flaherty, David E Fisher, Jay M Tenenbaum, Michael D Travers, Jeff Shrager.
Abstract
While advanced melanoma remains one of the most challenging cancers, recent developments in our understanding of the molecular drivers of this disease have uncovered exciting opportunities to guide personalized therapeutic decisions. Genetic analyses of melanoma have uncovered several key molecular pathways that are involved in disease onset and progression, as well as prognosis. These advances now make it possible to create a "Molecular Disease Model" (MDM) for melanoma that classifies individual tumors into molecular subtypes (in contrast to traditional histological subtypes), with proposed treatment guidelines for each subtype including specific assays, drugs, and clinical trials. This paper describes such a Melanoma Molecular Disease Model reflecting the latest scientific, clinical, and technological advances.Entities:
Mesh:
Year: 2011 PMID: 21479172 PMCID: PMC3068163 DOI: 10.1371/journal.pone.0018257
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Principal melanoma molecular subtypes.
| Detailed subtypes | Pathway(s) | Key gene /biomarker(s) | Diagnostic technologies | Potentially relevant therapeutics |
| 1.1 | MAPK | BRAF | Targeted sequencing | BRAF inhibitors, MEK inhibitors, Hsp90 inhibitors |
| 1.2 | BRAF/PTEN | Targeted sequencing & IHC | (BRAF inhibitors) AND (PI3K inhibitors, AKT inhibitors or mTOR inhibitors) | |
| 1.3 | BRAF/AKT | Targeted sequencing & copy number | (BRAF inhibitors) AND (AKT inhibitors or mTOR inhibitors) | |
| 1.4 | BRAF/CDK4 | Targeted sequencing & copy number/CGH | BRAF inhibitorsAND CDK inhibitors | |
| 2.1 | c-KIT | c-KIT | Targeted sequencing | Gleevec & other c-KIT inhibitors |
| 3.1 | GNAQ GNA11 | GNAQ | Targeted sequencing | MEK inhibitors |
| 3.2 | GNA11 | Targeted sequencing | MEK inhibitors | |
| 4.1 | NRAS | NRAS | Targeted sequencing | MAPK & PI3K pathway inhibitors; Farnesyl transferase inhibitors |
| 5.1 | MITF | MITF | Copy number | HDAC inhibitors |
Secondary melanoma molecular subtypes.
| Detailed subtypes | Pathway(s) | Key gene /biomarker(s) | Diagnostic technologies | Potentially relevant therapeutics |
| 6.1 | AKT/PI3K | PTEN | IHC | PI3K inhibitors, AKT inhibitors or mTOR inhibitors |
| 6.2 | AKT | Copy number | AKT inhibitors or mTOR inhibitors | |
| 6.3 | PI3K | IHC | PI3K inhibitors, AKT inhibitors or mTOR inhibitors | |
| 7.1 | CDK | ARF/INK4A | Targeted sequencing / CGH | CDK inhibitors |
| 7.2 | CDK4 | Copy number / CGH | CDK inhibitors | |
| 7.3 | CCND1 / Cyclin D1 | Copy number / CGH | CDK inhibitors | |
| 8.1 | P53 / BCL | Bcl-2 | IHC | TBD |
| 8.2 | P53 | Targeted sequencing | TBD |
Figure 1The two major signaling pathways implicated in melanoma are the MAPK pathway (red) and the AKT/PI3K (green) pathway which regulate cell growth, proliferation and cell death.
There is a lot of cross-talk between these pathways and their downstream effectors, which we have classified into 8 pathways for simplicity to account for differences in treatment modalities (e.g. signaling through NRAS could affect both MAPK and AKT/PI3K pathways). The additional 6 pathways are: c-KIT (pink), CDK (blue), GNAQ/GNA11 (brown), MITF (orange), NRAS (yellow), and P53/BCL (purple). The complex relationship among BRAF, ARF/INK4A (via dashed line), p16, and p14ARF connotes an alternative splicing relationship.
Treatment outcomes related to specific c-KIT aberrations.
| No. of patients | Treatment outcome | c-KIT aberration |
| 2 | Complete response | L576P exon 11 mutation & amplification |
| 2 | Partial response | L576P exon 11 mutation & exon 13 mutations |
| 6 | Stable disease | Exon 13 mutations with or without amplification |
| 2 | No response | Mutations known to cause resistance to Gleevec in GIST |