Despite on-going research, metastatic melanoma five year survival rates remain low and treatment options
limited. Researchers can now access a rapidly growing amount of molecular and clinical information about
melanoma. This information is becoming increasingly difficult to assemble and interpret due to its
dispersed nature, yet as it grows it becomes increasingly valuable for understanding melanoma biology
and clinical progression. Integration of this information into a comprehensive resource to aid rational
experimental design and patient stratification is needed. We have assembled a web-accessible melanoma-
focused database that incorporates clinical and molecular data from several sources, which will be
regularly updated as new information becomes available. The way this database is constructed, information
about melanoma is incorporated as gene sets (e.g. one gene set could be those RNAs for which expression
level in metastatic melanomas is significantly associated with patient survival). This melanoma-
associated gene set database allows complex links to be drawn between: the genetic changes in individual
melanomas revealed by DNA sequencing, associations between gene expression and patient survival, data
concerning drug targets, biomarkers, druggability and clinical trials, as well as statistical analysis of
relationships between molecular pathways and clinical parameters using these data sets. Several drug and
biomarker gene sets are included in particular to allow the identification of novel druggable molecules
associated with melanoma development or progression. The database is freely available. Detailed
instructions for this database's' use can be found in the Help link at the top of this page. Please go to
either of the links below to start using the database. This database was last updated on 20 May 2013.
Current version 2.0.
Go to the link below to identify the genes in the intersection or union of a large number of melanoma-
associated gene sets, and optionally also the intersection or union between these melanoma-associated gene
sets and your own gene list. Once the genes in the intersection/union of these melanoma-associated gene
sets (and optionally your own gene list) have been determined, they can be: (i) downloaded, (ii)
intersected or unioned with additional melanoma-associated gene sets, (iii) assessed to identify any
statistically significant enrichment for other melanoma-associated gene sets, (iv) submitted to a separate
web tool (GeneSetDB) to assess whether they have statistically significant enrichment for more general gene
sets related to molecular pathways, drugs and general biology.
Go to the link below if you simply want to see whether your own gene list has statistically significant
enrichment for any melanoma-associated gene sets.
The link below is to a tool which displays KEGG Pathways and highlights genes mutated in each of the 310
tumours included in MelanomaDB, along with drug target annotations.
If you need help please don't hesitate to contact us (email@example.com).