Relapse-related molecular signature in lung adenocarcinomas identifies patients with dismal prognosis.
OBJECTIVE
In order to aid the development of patient-tailored therapeutics, we attempted to identify a relapse-related signature that allows selection of a group of adenocarcinoma patients with a high probability of relapse.


METHODS
Whole-genome expression profiles were analyzed in 117 lung adenocarcinoma samples using microarrays consisting of 41,000 probes. A weighted voting classifier for identifying patients with a relapse-related signature was constructed with an approach that allowed no information leakage during each training step, using 10-fold cross-validation and 100 random partitioning procedures.


RESULTS
We identified a relapse-related molecular signature represented by 82 probes (RRS-82) through genome-wide expression profiling analysis of a training set of 60 patients. The robustness of RRS-82 in the selection of patients with a high probability of relapse was then validated with a completely blinded test set of 27 adenocarcinoma patients, showing a clear association of high risk RRS-82 with very poor patient prognosis regardless of disease stage. The discriminatory power of RRS-82 was further validated using an additional independent cohort of 30 stage I patients who underwent surgery at a distinct period of time as well as with the Duke data set on a different platform. Furthermore, completely separate training and validation procedures using another data set recently reported by the Director's Challenge Consortium also successfully confirmed the predictive power of the genes comprising RRS-82.


CONCLUSIONS
RRS-82 may be useful for identifying adenocarcinoma patients at very high risk for relapse, even those with cancer in the early stage.
Tomida
Shuta
S
Division of Molecular Carcinogenesis, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.
Takeuchi
Toshiyuki
T
Shimada
Yukako
Y
Arima
Chinatsu
C
Matsuo
Keitaro
K
Mitsudomi
Tetsuya
T
Yatabe
Yasushi
Y
Takahashi
Takashi
T
D000230:Adenocarcinoma / Q000235:genetics*; D015415:Biomarkers / Q000032:analysis* / Q000378:metabolism; D002289:Carcinoma, Non-Small-Cell Lung / Q000235:genetics*; D015331:Cohort Studies; D020869:Gene Expression Profiling / Q000379:methods; D015894:Genome, Human / Q000235:genetics; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000473:pathology; D009367:Neoplasm Staging; D020411:Oligonucleotide Array Sequence Analysis; D011237:Predictive Value of Tests; D011379:Prognosis; D012008:Recurrence; D012306:Risk; D054928:Validation Studies as Topic
D015415:Biomarkers