Peripheral immune factors aiding clinical parameter for better early recurrence prediction of hepatocellular...

Current predictors are largely unsatisfied for early recurrence (ER) of hepatocellular carcinoma (HCC) after thermal ablation. We aimed to explore the prognostic value of peripheral immune factors (PIFs) for better ER prediction of HCC after thermal ablation.

Patients who received peripheral blood mononuclear cells (PBMCs) tests before thermal ablation were included. Clinical parameters and 18 PIFs were selected to construct Model^Clin, Model^PIFs and the hybrid Model^PIFs-Clin. Model performances were evaluated using area under the curve (AUC), and recurrence-free survival (RFS) were analyzed by Kaplan-Meier analysis and log-rank tests.

244 patients were included and were randomly divided in 3:1 ratio to discovery and validation cohorts. Clinical parameters including tumor size and AFP, and PIFs including neutrophils, platelets, CD3⁺CD16⁺CD56⁺ NKT and CD8⁺CD28^- T lymphocytes were selected. The Model^PIFs-Clin showed increase in predictive performance compared with Model^Clin, with the AUC improved from 0.664 (95%CI:0.588-0.740) to 0.801 (95%CI:0.734-0.867) in discovery cohort (p < 0.0001), and from 0.645 (95%CI:0.510-0.781) to 0.737(95%CI:0.608-0.865) in validation cohort (p = 0.1006). Model^PIFs-Clin enabled ER risk stratification of patients. Patients predicted in Model^PIFs-Clin high-risk subgroup had a poor RFS compared with those predicted as Model^PIFs-Clin low-risk subgroup, with the median RFS was 18.00 month versus 100.78 month in discovery cohort (p < 0.0001); and 24.00 month versus 60.35 month in validation cohort (p = 0.288). Patients in different risk subgroups exhibited distinct peripheral immune contexture.

Peripheral immune cells aiding clinical parameters boosted the prediction ability for ER of HCC after thermal ablation, which be helpful for pre-ablation ER risk stratification.