Research Papers:

Serum protein profiling using an aptamer array predicts clinical outcomes of stage IIA colon cancer: A leave-one-out crossvalidation

Jung Wook Huh, Sung Chun Kim, Insuk Sohn, Sin-Ho Jung and Hee Cheol Kim _

PDF  |  HTML  |  How to cite  |  Order a Reprint

Oncotarget. 2016; 7:16338-16348. https://doi.org/10.18632/oncotarget.7488

Metrics: PDF 905 views  |   HTML 1187 views  |   ?  


Jung Wook Huh1, Sung Chun Kim2, Insuk Sohn3, Sin-Ho Jung3,4, Hee Cheol Kim1

1Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea

2Biois Corp, Seoul, Korea

3Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea

4Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA

Correspondence to:

Hee Cheol Kim, e-mail: hckim@skku.edu

Keywords: aptamer, colon cancer, prognosis

Received: November 02, 2015     Accepted: February 11, 2016     Published: February 19, 2016


Background: In this study, we established and validated a model for predicting prognosis of stage IIA colon cancer patients based on expression profiles of aptamers in serum.

Methods: Bloods samples were collected from 227 consecutive patients with pathologic T3N0M0 (stage IIA) colon cancer. We incubated 1,149 serum molecule-binding aptamer pools of clinical significance with serum from patients to obtain aptamers bound to serum molecules, which were then amplified and marked. Oligonucleotide arrays were constructed with the base sequences of the 1,149 aptamers, and the marked products identified above were reacted with one another to produce profiles of the aptamers bound to serum molecules. These profiles were organized into low- and high-risk groups of colon cancer patients based on clinical information for the serum samples. Cox proportional hazards model and leave-one-out cross-validation (LOOCV) were used to evaluate predictive performance.

Results: During a median follow-up period of 5 years, 29 of the 227 patients (11.9%) experienced recurrence. There were 212 patients (93.4%) in the low-risk group and 15 patients (6.6%) in the high-risk group in our aptamer prognosis model. Postoperative recurrence significantly correlated with age and aptamer risk stratification (p = 0.046 and p = 0.001, respectively). In multivariate analysis, aptamer risk stratification (p < 0.001) was an independent predictor of recurrence. Disease-free survival curves calculated according to aptamer risk level predicted through a LOOCV procedure and age showed significant differences (p < 0.001 from permutations).

Conclusion: Aptamer risk stratification can be a valuable prognostic factor in stage II colon cancer patients.

Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
PII: 7488