Oncotarget

Clinical Research Papers:

A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery

Jian-Hong Peng, Yu-Jing Fang, Cai-Xia Li, Qing-Jian Ou, Wu Jiang, Shi-Xun Lu, Zhen-Hai Lu, Pei-Xing Li, Jing-Ping Yun, Rong-Xin Zhang, Zhi-Zhong Pan and De-Sen Wan _

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Oncotarget. 2016; 7:22939-22947. https://doi.org/10.18632/oncotarget.8217

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Abstract

Jian-Hong Peng1,*, Yu-Jing Fang2,*, Cai-Xia Li3,4,*, Qing-Jian Ou2,*, Wu Jiang1, Shi-Xun Lu5, Zhen-Hai Lu1, Pei-Xing Li3,4, Jing-Ping Yun5, Rong-Xin Zhang1, Zhi-Zhong Pan1 and De-Sen Wan1

1 Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou, P.R. China

2 Department of Colorectal Surgery, Department of Experimental Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou, P. R. China

3 School of Mathematics and Computational Science,Sun Yat-sen University, Guangzhou, P.R. China,

4 Guangdong Provincial Key Laboratory of Computational Science, Sun Yat-sen University, Guangzhou, P.R. China

5 Department of pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou, P. R. China

* These authors have contributed equally to this work

Correspondence to:

De-Sen Wan, email:

Zhi-Zhong Pan, email:

Keywords: scoring system; artificial neural network; survival; stage IIA; colon cancer

Received: October 21, 2015 Accepted: March 10, 2016 Published: March 20, 2016

Abstract

Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical and molecular data of 117 stage II A colon cancer patients from Sun Yat-sen University Cancer Center were used for training set and test set; poor pathological grading (score 49), reduced expression of TGFBR2 (score 33), over-expression of TGF-β (score 45), MAPK (score 32), pin1 (score 100), β-catenin in tumor tissue (score 50) and reduced expression of TGF-β in normal mucosa (score 22) were selected as the prognostic risk predictors. According to the developed scoring system, the patients were divided into 3 subgroups, which were supposed with higher, moderate and lower risk levels. As a result, for the 3 subgroups, the 10-year overall survival (OS) rates were 16.7%, 62.9% and 100% (P < 0.001); and the 10-year disease free survival (DFS) rates were 16.7%, 61.8% and 98.8% (P < 0.001) respectively. It showed that this scoring system for stage II A colon cancer could help to predict long-term survival and screen out high-risk individuals for more vigorous treatment.


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