RESUMO
Background: This investigation evaluated the prognostic significance of the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), and introduced a combined NLR-PLR score to evaluate the correlation between NLR-PLR score and hepatocellular carcinoma (HCC) recurrence. Material/Methods: We enrolled 110 patients who underwent orthotopic liver transplantation (LT) for HCC. The neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) were assessed, and appropriate cut-off values were established. The NLR-PLR score ranged from 0 to 2 as follows: score of 2, high NLR (≥3.37) and high PLR (≥105.96); score of 1, either high NLR or high PLR; score of 0, neither high NLR nor high PLR. Results: The median overall survival (OS) of patients with NLR-PLR score of 0, 1 and 2 was 27, 26.5, and 6 months, respectively. The median OS of patients with NLR-PLR score of 2 was shorter than those with 0 (P < 0.001) and 1 (P < 0.001). The median disease-free survival (DFS) time of patients with NLR-PLR score of 0, 1 and 2 was 24.5, 24, and 6 months, The median DFS of patients with NLR-PLR score of 2 was shorter than those with 0 (P = 0.001) and 1 (P = 0.015). Multivariate analysis showed that NLR-PLR score was an independent risk factor for prognosis and survival. Conclusion: NLR, PLR and NLR-PLR score can predict the long-term survival of patients, and NLR-PLR score, having more predictive value than NLR and PLR alone is an independent risk factor for patient survival. more predictive value than NLR and PLR alone.
RESUMO
Background: Hepatocellular carcinoma (HCC) relapse is the main reason for the poor prognosis of HCC after Liver transplantation (LT). This study aimed to explore the molecular mechanisms and immune repertoire profiles of HCC relapse. Material and Methods: RNA-seq of blood samples from patients with normal (n=12) and HCC relapse (n=6) after LT was performed to identify differentially expressed genes (DEGs) and key signalling pathways. The DEGs and immune genes were further analyzed by bioinformatics. TRUST4 was used to analyze the differences in the immune repertoire between the two groups. Another 11 blood samples from patients with HCC who had received LT were collected for RT-qPCR verification of key genes. Results: A total of 131 upregulated and 157 downregulated genes were identified using RNA-seq, and GO enrichment analysis revealed that the top 15 pathways were immune-related. The PPI network identified 10 key genes. Immune infiltration analysis revealed a significant difference in the five immune cell types between the two groups. A total of 83 intersecting genes were obtained by intersecting DEGs and immune genes. 6 key genes, including MX1, ISG15, OAS1, PRF1, SPP1, and THBS1 were obtained according to the intersection of DEGs, PPI network top 10 genes and immune intersecting genes. Immune repertoire analysis showed that the usage frequency of variable (V) and joining (J) genes in the normal group was higher than that in the relapse group. RT-qPCR validation showed that the expression levels of key genes were consistent with the RNA-seq results. Conclusion: Our study identified key pathways and genes that could help determine whether transplant recipients are more prone to HCC relapse. Immune repertoire analysis revealed a difference in the usage frequency of VJ genes between the normal and relapse groups, providing a research direction for immunotherapy in patients with HCC relapse after liver transplantation.