Survival prediction of stage I lung adenocarcinomas by expression of 10 genes.
Adenocarcinoma is the predominant histological subtype of lung cancer, the leading cause of cancer deaths in the world. At stage I, the tumor is cured by surgery alone in about 60% of cases. Markers are needed to stratify patients by prognostic outcomes and may help in devising more effective therapies for poor prognosis patients. To achieve this goal, we used an integrated strategy combining meta-analysis of published lung cancer microarray data with expression profiling from an experimental model. The resulting 80-gene model was tested on an independent cohort of patients using RT-PCR, resulting in a 10-gene predictive model that exhibited a prognostic accuracy of approximately 75% in stage I lung adenocarcinoma when tested on 2 additional independent cohorts. Thus, we have identified a predictive signature of limited size that can be analyzed by RT-PCR, a technology that is easy to implement in clinical laboratories.
Bianchi
Fabrizio
F
IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Milan, Italy.
Nuciforo
Paolo
P
Vecchi
Manuela
M
Bernard
Loris
L
Tizzoni
Laura
L
Marchetti
Antonio
A
Buttitta
Fiamma
F
Felicioni
Lara
L
Nicassio
Francesco
F
Di Fiore
Pier Paolo
PP
D000230:Adenocarcinoma / Q000175:diagnosis / Q000235:genetics / Q000473:pathology; D014408:Biomarkers, Tumor; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis / Q000235:genetics / Q000473:pathology; D009367:Neoplasm Staging; D020411:Oligonucleotide Array Sequence Analysis; D011237:Predictive Value of Tests; D011379:Prognosis; D015203:Reproducibility of Results; D016019:Survival Analysis
D014408:Biomarkers, Tumor