Gliomatosis Cerebri I

ABSTRACT: In modern clinical neuro-oncology the pathological diagnoses are very challenging creating significant clinical confusion and affecting therapeutic decisions and prognostic estimation. We investigated whether gene expression profiling, coupled with class prediction methodology, could be used to predict prognosis of gliomatosis cerebri in a more consistent manner then standard pathology. We report the results of a molecular study in fifty-nine cases of gliomatosis cerebri, correlating these results with prognosis. TP53 and PTEN gene sequences were analyzed and microarray expression profiling were also performed. At the 24 month follow-up, 17 patients were alive, while 42 patients were died. We identified a 23 gene signature able to predict patient prognosis with microarray gene expression

ORGANISM(S): Homo sapiens

SUBMITTER: Oscar D'Urso 

PROVIDER: E-GEOD-11822 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress