BACKGROUND: The patterns of postoperative recurrence vary among hepatocellular carcinoma (HCC) patients and infiltration of immune cells is correlated with patients prognosis. The present study aimed to develop and assess novel nomogram models for postsurgical recurrence and survival in HCC patients by combination of immune cell scores and clinicopathological features. METHODS: A total of 233 patients with curative hepatic resection and complete clinicopathologic information were enrolled. The infiltration of CD8 + T lymphocytes, CD15 + neutrophils and CD68 + macrophages in the tumor microenvironment was assessed by immunohistochemistry in tissue microarray. Two prognostic nomogram models for disease-free survival (DFS) and overall survival (OS) were developed and multi-dimensionally evaluated to predict postsurgical HCC outcomes. RESULTS: The DFS nomogram was developed using AFP, GGT, tumor differentiation, Ki-67, and the densities of intratumoral CD15 + neutrophils and CD68 + macrophages. The OS nomogram was established based on gender, AFP, tumor differentiation, number of tumor nodules, microvascular vascular tumor thrombus (MVTT), Ki-67, microvessel density (MVD), the densities of intratumoral CD15 + neutrophils and CD68 + macrophages. The C-indexes for the DFS and OS nomogram were 0.708 (95% CI, 0.675-0.741) and 0.723 (95% CI, 0.688 to 0.758), respectively. The AUC values of the models for 1-, 2- or 5-year DFS were 0.832, 0.807 and 0.783, and for 1-, 2- or 5-year OS were 0.745, 0.794 and 0.842. CONCLUSION: The present study proposed two nomogram models integrating infiltrating immune cells with clinicopathological risks and showed relatively good predictive performance of recurrence and survival, which may be beneficial to the clinical practice of HCC stratification. Further multicenter studies are needed to assess its general applicability.