[HTML][HTML] A gene expression signature associated with survival in metastatic melanoma
S Mandruzzato, A Callegaro, G Turcatel… - Journal of translational …, 2006 - Springer
S Mandruzzato, A Callegaro, G Turcatel, S Francescato, MC Montesco, V Chiarion-Sileni…
Journal of translational medicine, 2006•SpringerBackground Current clinical and histopathological criteria used to define the prognosis of
melanoma patients are inadequate for accurate prediction of clinical outcome. We
investigated whether genome screening by means of high-throughput gene microarray
might provide clinically useful information on patient survival. Methods Forty-three tumor
tissues from 38 patients with stage III and stage IV melanoma were profiled with a 17,500
element cDNA microarray. Expression data were analyzed using significance analysis of …
melanoma patients are inadequate for accurate prediction of clinical outcome. We
investigated whether genome screening by means of high-throughput gene microarray
might provide clinically useful information on patient survival. Methods Forty-three tumor
tissues from 38 patients with stage III and stage IV melanoma were profiled with a 17,500
element cDNA microarray. Expression data were analyzed using significance analysis of …
Background
Current clinical and histopathological criteria used to define the prognosis of melanoma patients are inadequate for accurate prediction of clinical outcome. We investigated whether genome screening by means of high-throughput gene microarray might provide clinically useful information on patient survival.
Methods
Forty-three tumor tissues from 38 patients with stage III and stage IV melanoma were profiled with a 17,500 element cDNA microarray. Expression data were analyzed using significance analysis of microarrays (SAM) to identify genes associated with patient survival, and supervised principal components (SPC) to determine survival prediction.
Results
SAM analysis revealed a set of 80 probes, corresponding to 70 genes, associated with survival, i.e. 45 probes characterizing longer and 35 shorter survival times, respectively. These transcripts were included in a survival prediction model designed using SPC and cross-validation which allowed identifying 30 predicting probes out of the 80 associated with survival.
Conclusion
The longer-survival group of genes included those expressed in immune cells, both innate and acquired, confirming the interplay between immunological mechanisms and the natural history of melanoma. Genes linked to immune cells were totally lacking in the poor-survival group, which was instead associated with a number of genes related to highly proliferative and invasive tumor cells.
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