Proliferation markers of human pituitary tumors: contribution of a genome-wide transcriptome approach.
Predicting pituitary tumor behavior remains a challenge, since the prognostic value of identified pathological markers has not yet been evaluated. Genome-wide transcriptome analyses allow the identification of molecular markers to highlight global changes in gene expression and enable the discovery of signaling pathways within complex biological networks. While several transcriptome studies comparing normal with tumoral pituitary as a whole or with respect to subtype have given interesting data concerning pituitary pathogenesis, none have considered pituitary tumor prognosis. Only one study to date, focusing on the pathological classification and progression of prolactin tumors, has identified some molecular markers with diagnostic and prognostic value. We reviewed data in the literature on human pituitary tumor transcriptome and conducted a meta-analysis on the expression of genes involved in cell growth, proliferation and the cell cycle. Based on our expertise, we evaluate the interests and the limitations of using this approach with human pituitary tumors.
Wierinckx
Anne
A
INSERM, U842, Université de Lyon, Lyon 1, UMR-S842, Faculté de Médecine Lyon-Est, Rue Guillaume Paradin, 69372 Lyon Cedex 08, France.
Raverot
Gérald
G
Nazaret
Nicolas
N
Jouanneau
Emmanuel
E
Auger
Carole
C
Lachuer
Joël
J
Trouillas
Jacqueline
J
D014408:Biomarkers, Tumor / Q000032:analysis / Q000235:genetics*; D049109:Cell Proliferation; D018450:Disease Progression; D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D016678:Genome; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D010902:Pituitary Gland / Q000737:chemistry / Q000473:pathology; D010907:Pituitary Hormones / Q000235:genetics; D010911:Pituitary Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology
D014408:Biomarkers, Tumor; D010907:Pituitary Hormones