Evidence map›Paper›PMID 40374839›Full record

ArticleHepatology international2025

Novel immune-related prognostic models for patients with hepatocellular carcinoma after curative resection.

Mingnan Cao, Chen Pan, Zhigang Zhao, Sisi Ye, Li Bai, Tingting Zhang

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Article in Hepatology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Mingnan Cao *Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Chen Pan *Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Zhigang ZhaoDepartment of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Sisi YeDepartment of Medical Oncology, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100853, China.
Li BaiDepartment of Medical Oncology, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100853, China. libai1959@163.com.
Tingting ZhangDepartment of Medical Oncology, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100853, China. dr_tingtingzhang@163.com.ORCID http://orcid.org/0000-0002-5428-928X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsA 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNeoplasm Recurrence, LocalNomogramsAdultAgedCD8-Positive T-LymphocytesDisease-Free SurvivalFemaleHepatectomyHumansMacrophagesMaleMiddle AgedNeutrophilsPrognosisHepatocellular carcinomaMacrophagesNeutrophilsNomogram modelPostoperative survival

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.