Using multiple cytokines to predict hepatocellular carcinoma recurrence in two patient cohorts
| العنوان: | Using multiple cytokines to predict hepatocellular carcinoma recurrence in two patient cohorts |
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| المؤلفون: | Wei-Dong Wei, Chong Zhong, Chao-Nan Qian, Zhi Yuan Chen, Rong Ping Guo, C. Z. Xiao, Ming Shi, Shengping Li, Li-Xia Peng, Zhixing Guo |
| المصدر: | British Journal of Cancer |
| بيانات النشر: | Springer Science and Business Media LLC, 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Adult, Male, Oncology, Cancer Research, medicine.medical_specialty, Carcinoma, Hepatocellular, medicine.medical_treatment, radical resection, Disease-Free Survival, Cohort Studies, chemistry.chemical_compound, Internal medicine, Carcinoma, Humans, Medicine, Interleukin 8, Molecular Diagnostics, Aged, Proportional Hazards Models, Oncogene, business.industry, Proportional hazards model, Liver Neoplasms, hepatocellular carcinoma, Middle Aged, Prognosis, medicine.disease, cytokines, Gene Expression Regulation, Neoplastic, Vascular endothelial growth factor, Cytokine, chemistry, Hepatocellular carcinoma, Female, Neoplasm Recurrence, Local, business, Cohort study |
| الوصف: | Background: Cytokines are tightly linked to the carcinogenesis, development and prognosis of hepatocellular carcinoma (HCC). We determined the prognostic value of 39 circulating cytokines in HCC patients after radical resection and then developed a novel cytokine-based prognostic classifier (CBPC) for the prediction of patient prognosis. Methods: A total of 179 patients were divided into two cohorts based on the date of radical resection. Thirty-nine cytokines were simultaneously analysed in patient serum samples using multiplex bead-based Luminex technology. Support vector machine-based methods and Cox proportional hazard models were used to develop a CBPC from the training cohort, which was then validated in the validation cohort. Results: Among seven cytokines significantly correlating with the disease-free survival (DFS) in the training cohort, six of them were validated to be significant prognostic factors to predict DFS and overall survival (OS) in the validation cohort, namely fibroblast growth factor 2 (FGF-2), growth-regulated oncogene (GRO), interleukin 8 (IL-8), interferon gamma-induced protein 10 (IP-10), vascular endothelial growth factor (VEGF), and interferon alpha-2 (IFN-α2). By integrating six cytokines and three clinical characteristics, we developed a CBPC to predict the recurrence and 3-year OS of HCC patients (sensitivity, 0.648; specificity, 0.918). In the validation cohort, the CBPC were confirmed to have significant predictive power for predicting tumour recurrence and OS (sensitivity, 0.585; specificity, 0.857). Interestingly, IFN-α2 was the only cytokine being independent prognostic factor in both patient cohorts. Conclusion: Our study verifies the presence of specific cytokine–phenotype associations with patient prognosis in HCC. The CBPC developed include multiple circulating cytokines and may serve as a novel screening approach for identifying HCC patients with a high risk of post-resection recurrence and shorter OS. These individuals may also be suitable for cytokine-targeted therapies. |
| تدمد: | 1532-1827 0007-0920 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76c547ee71fcabe977696224299de147Test https://doi.org/10.1038/bjc.2013.781Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....76c547ee71fcabe977696224299de147 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15321827 00070920 |
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