Prognostic and Predictive Value of p21-activated Kinase 6 Associated Support Vector Machine Classifier in Gastric Cancer Treated by 5-fluorouracil/Oxaliplatin Chemotherapy
Yuming Jiang,
Wei Liu,
Tuanjie Li,
Yanfeng Hu,
Sile Chen,
Sujuan Xi,
Yajia Wen,
Lei Huang,
Liying Zhao,
Cuicui Xiao,
Xiaohui Huang,
Zhen Han,
Hao Liu,
Xiaolong Qi,
Yang Yang,
Jiang Yu,
Shirong Cai,
Guoxin Li
Affiliations
Yuming Jiang
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
Wei Liu
Guangdong Key Laboratory of Liver Disease Research, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
Tuanjie Li
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
Yanfeng Hu
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
Sile Chen
Department of Gastrointestinal Surgery of the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510700, Guangdong, China
Sujuan Xi
Guangdong Key Laboratory of Liver Disease Research, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
Yajia Wen
Guangdong Key Laboratory of Liver Disease Research, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
Lei Huang
German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
Liying Zhao
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
Cuicui Xiao
Guangdong Key Laboratory of Liver Disease Research, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
Xiaohui Huang
Guangdong Key Laboratory of Liver Disease Research, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
Zhen Han
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
Hao Liu
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
Xiaolong Qi
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
Yang Yang
Guangdong Key Laboratory of Liver Disease Research, The 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
Jiang Yu
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
Shirong Cai
Department of Gastrointestinal Surgery of the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510700, Guangdong, China
Guoxin Li
Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China
To determine whether p21-activated Kinase (PAK) 6 is a prognostic and predictive marker in gastric cancer (GC) and to construct a classifier that can identify a subset of patients who are highly sensitive to 5-fluorouracil/oxaliplatin chemotherapy. We retrospectively analyzed the expression levels of PAK6, cyclooxygenase 2, p21WAF1, Ki-67, excision repair cross-complementing gene 1, and thymidylate synthase in 242 paraffin-embedded GC specimens of the training cohort by immunohistochemistry. Then, we used support vector machine (SVM)–based methods to develop a predictive classifier for chemotherapy (chemotherapy score – CS-SVM classifier). Further validation was performed in an independent cohort of 279 patients. High PAK6 expression was associated with poor prognosis and increased chemoresistance to 5-FU/oxaliplatin chemotherapy. The CS-SVM classifier distinguished patients with stage II and III GC into low- and high-CS-SVM groups, with significant differences in the 5-year disease-free survival (DFS) and overall survival (OS) in chemotherapy patients. Moreover, chemotherapy significantly prolonged the DFS and OS of the high CS-SVM patients in the training and validation cohorts. In conclusion, PAK6 was an independent prognostic factor and increased chemoresistance. The CS-SVM classifier distinguished a subgroup of stage II and III patients who would highly benefit from chemotherapy, thus facilitating patient counseling and individualizing the management.