Nomogram Based on Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio to Predict Recurrence in Patients with Hepatocellular Carcinoma after Radiofrequency Ablation

Dynamic Changes of Neutrophil-to-Lymphocyte Ratio on Predicting Response of Immune Checkpoint Inhibitors Plus Targeted Therapies for Unresectable Hepatocellular Carcinoma

Backgrounds and Aims

Multiple regimens of immune checkpoint inhibitors (ICIs) plus targeted therapies are commonly prescribed as first-line treatments for unresectable hepatocellular carcinoma (uHCC). Here, we aimed to investigate the correlation between dynamic changes of neutrophil-to-lymphocyte ratio (NLR) and tumor response to the combination of ICIs and targeted therapies for uHCC.

Methods

Sixty-one patients who received ICIs plus targeted therapies for uHCC were enrolled in this retrospective study. The NLR before and at 3-6 weeks after treatments were assessed to calculate the dynamic NLR changes (ΔNLR). Multivariate logistic regression and Cox regression models were used to explore the relationship between dynamic NLR changes and tumor response or progression-free survival (PFS), respectively. Furthermore, we assessed the predictive effect of alpha-fetoprotein (AFP) changes in combination with dynamic NLR changes compared to AFP changes alone.

Results

The NLR at 3-6 weeks and ΔNLR after treatments significantly increased in patients who underwent progressive disease (PD), while the baseline NLR showed no significant difference between different tumor responses. Increased NLR and AFP after treatments were both independent predictors of PD (For NLR increase: OR, 2.28; 95% CI, 1.47-3.88, P < 0.001; For AFP increase: OR, 1.46; 95% CI, 1.03-2.17, P = 0.043), and correlated with worse PFS (for NLR increase: HR, 4.08; 95% CI, 1.99-8.36, P < 0.001; for AFP increase: HR, 2.10; 95% CI, 1.04-4.24, P = 0.039). The receiver operating characteristic (ROC) curve and net reclassification index (NRI) showed that the combination of dynamic NLR and AFP changes was better than AFP changes alone on predicting PD (AUC: 0.83 vs 0.68, P = 0.034; NRI: 0.340, P = 0.048) and PFS (AUC: 0.80 vs 0.70, P = 0.166; NRI: 0.431, P = 0.042).

Conclusion

Dynamic changes of NLR might be an effective predictor of the therapeutic response to ICIs plus targeted therapies for uHCC.

Transarterial Chemoembolization Combined with Lenvatinib Plus Sequential Microwave Ablation for Large Hepatocellular Carcinoma Beyond Up-to-Seven Criteria: A Retrospective Cohort Study

RATIONALE AND OBJECTIVES

The aim of this study was to investigate the efficacy and safety of transarterial chemoembolization (TACE) combined with Lenvatinib plus sequential microwave ablation (MWA) for the treatment of patients with large hepatocellular carcinoma (HCC) beyond up-to-seven criteria.

MATERIALS AND METHODS

This retrospective cohort study assessed the medical records of patients with large HCC who underwent TACE combined with Lenvatinib plus sequential MWA (TLM) or TACE plus sequential MWA (TM). Lenvatinib was administered to patients within 3-5 days after TACE and sequential MWA was performed once they met the criteria for curative ablation after TACE or the combination therapy. The progression-free survival (PFS), overall survival (OS) and treatment-related complications were compared between two groups.

RESULTS

Of the 81 patients who underwent TLM or TM, 64 who met the eligibility criteria were included in this study. Among them, 28 patients underwent TLM and 36 underwent TM. The inverse probability weighting method (IPTW) was used to balance differences between two groups. The TLM group had longer PFS than the TM group (median, before IPTW: 18.53 vs. 5.62 months, p < 0.001; median, after IPTW: 28.27 vs. 5.30 months, p < 0.001). Univariate and multivariate analyses revealed that TLM and the maximum tumor diameter were independent prognostic factors for PFS. The overall incidence rate of minor complications related to TACE or MWA was lower in the TLM group (32.1% vs. 66.7%, p = 0.006).

CONCLUSION

TACE combined with Lenvatinib plus sequential MWA can prolong the progression-free survival of patients with large HCC beyond up-to-seven criteria.

Prognostic significance of pan-immune-inflammation value in hepatocellular carcinoma treated by curative radiofrequency ablation: potential role for individualized adjuvant systemic treatment

BACKGROUND

This study aimed to explore the prognostic role of pan-immune-inflammation value (PIV) and develop a new risk model to guide individualized adjuvant systemic treatment following radiofrequency ablation (RFA) for early-stage hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

Patients with early-stage HCC treated by RFA were randomly divided into training cohort A (n = 65) and testing cohort B (n = 68). Another 265 counterparts were enrolled into external validating cohort C. Various immune-inflammatory biomarkers (IIBs) were screened in cohort A. Prognostic role of PIV was evaluated and validated in cohort B and C, respectively. A nomogram risk model was built in cohort C and validated in pooled cohort D. Clinical benefits of adjuvant anti-angiogenesis therapy plus immune checkpoint inhibitor (AA-ICI) following RFA was assessed in low- and high-risk groups.

RESULTS

The cutoff point of PIV was 120. High PIV was an independent predictor of unfavorable recurrence-free survival (RFS) and overall survival (OS). RFS and OS rates of patients with high PIV were significantly lower than those with low PIV both in cohort B (PRFS=0.016, POS=0.011) and C (PRFS<0.001, POS<0.001). The nomogram model based on PIV, tumor number and BCLC staging performed well in risk stratification in external validating cohort C. Adjuvant AA-ICI treatment showed an added benefit in OS (p = 0.011) for high-risk patients.

CONCLUSIONS

PIV is a feasible independent prognostic factor for RFS and OS in early-stage HCC patients who received curative RFA. The proposed PIV-based nomogram risk model could help clinicians identify high-risk patients and tailor adjuvant systemic treatment and disease follow-up scheme.

Nomogram built based on machine learning to predict recurrence in early-stage hepatocellular carcinoma patients treated with ablation

Introduction

To analyze the risk factors affecting recurrence in early-stage hepatocellular carcinoma (HCC) patients treated with ablation and then establish a nomogram to provide a clear and accessible representation of the patients' recurrence risk.

Methods

Collect demographic and clinical data of 898 early-stage HCC patients who underwent ablation treatment at Beijing You'an Hospital, affiliated with Capital Medical University from January 2014 to December 2022. Patients admitted from 2014 to 2018 were included in the training cohort, while 2019 to 2022 were in the validation cohort. Lasso and Cox regression was used to screen independent risk factors for HCC patients recurrence, and a nomogram was then constructed based on the screened factors.

Results

Age, gender, Barcelona Clinic Liver Cancer (BCLC) stage, tumor size, globulin (Glob) and γ-glutamyl transpeptidase (γ-GT) were finally incorporated in the nomogram for predicting the recurrence-free survival (RFS) of patients. We further confirmed that the nomogram has optimal discrimination, consistency and clinical utility by the C-index, Receiver Operating Characteristic Curve (ROC), calibration curve and Decision Curve Analysis (DCA). Moreover, we divided the patients into different risk groups and found that the nomogram can effectively identify the high recurrence risk patients by the Kaplan-Meier curves.

Conclusion

This study developed a nomogram using Lasso-Cox regression to predict RFS in early-stage HCC patients following ablation, aiding clinicians in identifying high-risk groups for personalized follow-up treatments.

Transcatheter arterial chemoembolisation combined with lenvatinib and cabozantinib in the treatment of advanced hepatocellular carcinoma

OBJECTIVE

The objective of this study was to evaluate the effect and prognosis of transcatheter arterial chemoembolisation (TACE) combined with lenvatinib and cabozantinib in the treatment of advanced unresectable hepatocellular carcinoma (uHCC) and identify the predictors of prognosis related to cellular inflammation and body mass index (BMI). To the best of our knowledge, this is the first study to report the efficacy and prognosis of TACE combined with lenvatinib and cabozantinib in patients with uHCC and propose the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) as predictors of response and survival outcomes in this context.

METHODS

The clinicopathologic data of 217 patients with advanced uHCC who underwent TACE combined with systemic therapy (lenvatinib mesylate + cabozantinib) in the Department of Hepatobiliary Surgery, Dazhou Central Hospital between October 2017 and February 2020 were collected retrospectively, and the relevant parameters were analysed and compared.

RESULTS

Univariate and multivariate logistic regression analyses showed that BMI, NLR, PLR and prothrombin time were independent factors for the objective response rate (ORR) of transformed therapy for uHCC (OR = 0.812 vs 1,290.68 vs 1.067 vs 0.626, 95 % CI: 0.719-0.897 vs 108.081-11,541.137 vs 1.037-1.099 vs 0.414-0.946, respectively, p < 0.05). The results showed that BMI, NLR and PLR had certain predictive values for the ORR in patients with liver cancer undergoing translational therapy (p < 0.05); the combined predictive effect of the three was the best, and the area under the curve (AUC) of BMI + NLR + PLR for predicting the ORR in patients with liver cancer undergoing translational therapy was 0.951 (95 % CI: 0.921, 0.964). A total of 181 patients experienced adverse reactions at different grades, including 104 cases at grade 1, 50 cases at grade 2, 22 cases at grade 3 and 5 cases at grade 4. There was a significant difference in overall survival (OS) between low- and high-NLR groups, low- and high-PLR groups and low- and high-BMI groups (χ2 = 9.644, 8.313 and 10.314, respectively, p < 0.05). There was a significant difference in progression-free survival (PFS) between the low- and high-NLR groups, the low- and high-PLR groups and the low- and high-BMI groups (χ2 = 8.965, 9.783 and 6.343, respectively, p < 0.05).

CONCLUSION

Transcatheter arterial chemoembolisation combined with lenvatinib and cabozantinib is safe and effective in the treatment of advanced uHCC, with controllable adverse reactions. High NLR and PLR and low BMI values before treatment were independent risk factors for the ORR. Body mass index, NLR and PLR predicted responses to triple switch therapy and survival outcomes in uHCC. Patients with pretreatment NLR ≥ 2.96 and PLR ≥ 184.41 had worse OS and PFS rates. Patients with pretreatment BMI ≥ 23 kg/m2 had improved OS and a reduced risk of death.

Assessment of the Clinical Value of Platelet-to-Lymphocyte Ratio in Patients with Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is associated with higher mortality as a result of poor prognosis and unavailability of effective treatment options. This study retrospectively analyzed the clinical value of platelet-to-lymphocyte ratio (PLR) to aid in differentiating early hepatocellular carcinoma from liver cirrhosis patients. Three hundred and nine (309) patients including 155 patients with hepatocellular carcinoma (HCC) and 154 patients with liver cirrhosis were enrolled in this study. General clinical characteristics and blood parameters of each patient were collected, calculated, and retrospectively analyzed. Mann-Whitney U test was calculated to compare the two groups. Receiver operating characteristics (ROC) curve was performed to investigate the diagnostic potential of PLR in the prediction of HCC at a cut-off with high accuracy (area under the curve [AUC]) > 0.80. Hemoglobin (HB) concentration, red blood cell (RBC) count, neutrophil (NEU) count, platelet count, platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) were significantly higher in the HCC patients than in the liver cirrhosis patients (p < 0.05). ROC curve analysis showed that the AUC, optimal cut-off value, sensitivity, and specificity of PLR to predict HCC patients were 0.912, 98.7, 81.2%, and 80.6% respectively. The results suggest that PLR is a potential biomarker that can be used to predict early HCC.

An Integrated Liver Function, Systemic Inflammation, and Tumor Characteristic Score Predicts Prognosis in Hepatocellular Carcinoma After Curative Resection

BACKGROUND

Several scoring systems are currently used to predict prognosis of hepatocellular carcinoma (HCC), but none of them integrates liver function, systemic inflammation, and tumor characteristics in a unified model. The current study aimed to develop and validate a novel prognostic score that integrates liver function, systemic inflammation, and tumor characteristics in a unified model to predict the prognosis of HCC after curative resection.

METHODS

Patients with HCC who underwent curative liver resection were included in a training set (n = 1027). Multivariate Cox regression was performed to determine the risk factors for a poor prognosis. A prognostic score was developed by assigning points for risk factors in proportion to beta coefficients in a Cox multivariable model. Predictive performance and distinction ability of the prognostic score were further evaluated in two independent validation cohorts treated with either curative resection (n = 281) or transarterial chemoembolization (TACE) (n = 404) and compared with 16 other models.

RESULTS

The prognostic predictive system, named the function-inflammation-burden-alpha-fetoprotein (FIBA) score, was derived by assigning points for six independent predictors including albumin, total bilirubin, lymphocyte count, diameter of the largest tumor, number of tumors, and alpha-fetoprotein (AFP). The FIBA score showed an outperformed predictive value compared with other systems in both training and validation cohorts by giving the highest C-index, likelihood ratio chi-square values, and Wald test values as well as the lowest Akaike information criterion.

CONCLUSION

The FIBA score can be used to stratify HCC patients treated with curative resection. Meanwhile, the FIBA score performs well against other prognostic scoring systems and is potentially broadly applicable to a TACE-treated patient cohort.

Preoperative systemic inflammatory response index predicts the prognosis of patients with hepatocellular carcinoma after liver transplantation

Background

Preoperative inflammatory status plays an important role in the prognosis of malignancy. We sought to explore the value of preoperative inflammatory biomarkers in predicting long-term outcomes of liver transplantation (LT) in patients with hepatocellular carcinoma (HCC).

Method

Patients who underwent LT for HCC in our hospital between January 2010 and June 2020 were included in this study. Demographic, clinical, laboratory, and outcome data were obtained. The area under the curve (AUC) of the receiver operating characteristic curve was used to evaluate the predictive value of inflammatory biomarkers. The effectiveness of inflammatory biomarkers in predicting outcomes was analyzed by univariate and multivariate Cox proportional hazards analyses.

Results

A total of 218 patients were included in the study, with a mean age of 53.9 ± 8.5 years. The AUC of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune inflammation index (SII), and systemic inflammatory response index (SIRI) for overall survival (OS) were 0.741, 0.731, 0.756, 0.746, and 0.749, respectively. Cox proportional hazards model indicated that SIRI &gt; 1.25 was independently associated with low OS [hazard ratio (HR) = 2.258, P = 0.024]. PLR &gt; 82.15 and SIRI &gt; 0.95 were independently associated with low disease-free survival (HR = 1.492, P = 0.015; and HR = 1.732, P = 0.008, respectively). In the survival analysis, the prognosis of patients with high preoperative SIRI and PLR was significantly worse (P &lt; 0.001).

Conclusion

SIRI and PLR were useful prognostic markers for predicting patients with HCC after LT.

Peripheral immune factors aiding clinical parameter for better early recurrence prediction of hepatocellular carcinoma after thermal ablation

OBJECTIVES

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Assessment of the prognostic value of the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in perihilar cholangiocarcinoma patients following curative resection: A multicenter study of 333 patients

Background & Aims

Tumor-associated chronic inflammation has been determined to play a crucial role in tumor progression, angiogenesis and immunosuppression. The objective of this study was to assess the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in perihilar cholangiocarcinoma (pCCA) patients following curative resection.

Methods

Consecutive pCCA patients following curative resection at 3 Chinese hospitals between 2014 and 2018 were included. The NLR was defined as the ratio of neutrophil count to lymphocyte count. PLR was defined as the ratio of platelet count to lymphocyte count. The optimal cutoff values of preoperative NLR and PLR were determined according to receiver operating characteristic (ROC) curves for the prediction of 1-year overall survival (OS), and all patients were divided into high- and low-risk groups. Kaplan-Meier curves and Cox regression models were used to investigate the relationship between values of NLR and PLR and values of OS and recurrence-free survival (RFS) in pCCA patients. The usefulness of NLR and PLR in predicting OS and RFS was evaluated by time-dependent ROC curves.

Results

A total of 333 patients were included. According to the ROC curve for the prediction of 1-year OS, the optimal cutoff values of preoperative NLR and PLR were 1.68 and 113.1, respectively, and all patients were divided into high- and low-risk groups. The 5-year survival rates in the low-NLR (<1.68) and low-PLR groups (<113.1) were 30.1% and 29.4%, respectively, which were significantly higher than the rates of 14.9% and 3.3% in the high-NLR group (≥1.68) and high-PLR group (≥113.1), respectively. In multivariate analysis, high NLR and high PLR were independently associated with poor OS and RFS for pCCA patients. The time-dependent ROC curve revealed that both NLR and PLR were ideally useful in predicting OS and RFS for pCCA patients.

Conclusions

This study found that both NLR and PLR could be used to effectively predict long-term survival in patients with pCCA who underwent curative resection.

Retrospective Evaluation and Significance of Neutrophil-to-Lymphocyte Ratio Prior to and 1 month Following Microwave Ablation of Hepatocellular Carcinoma

PURPOSE

Neutrophil-to-lymphocyte ratio (NLR) recently demonstrated predictive value for hepatocellular carcinoma (HCC) recurrence after thermal ablation. Microwave ablation (MWA) has been shown to induce changes in the immune landscape after HCC treatment. This study aims at identifying predictors of local tumor progression (LTP) and post-treatment NLR kinetics after MWA.

MATERIALS AND METHODS

Data from 108 consecutive patients who underwent percutaneous MWA of 119 HCCs with a 2450 Hz/100 W generator in two institutions from October 2014 to September 2021 were retrospectively reviewed. Forty-five HCCs (42 patients) met inclusion criteria for analysis (technique efficacy, pre- and post-treatment NLR availability, follow-up > 6 months, absence of complications). NLR was analyzed prior to therapy and at 1-month follow-up; difference between the two time points was defined as ΔNLR_1stFU.

RESULTS

After a median follow-up of 25 months, LTP occurred in 18 HCCs (40%) and 18 patients (42.9%). Multivariate competing risk regression comprising ΔNLR_1stFU > 0, cirrhosis etiology and subcapsular location showed that the only independent predictor of LTP was ΔNLR_1stFU > 0, on both a per-patient (HR = 2.7, p = 0.049) and per-tumor (HR = 2.8, p = 0.047) analysis. ΔNLR_1stFU > 0 occurred in 24/42 patients (57.1%). In this subgroup, higher rates of female patients (p = 0.026), higher mean baseline NLR (p < 0.0001) and lower mean energy/size (p = 0.006) were observed. Upon ROC curve analysis, energy/size < 1414 J/mm predicted ΔNLR_1stFU > 0 with 76% sensitivity and 70% specificity (AUC = 0.74).

CONCLUSION

NLR increase after ablation was the only independent predictor of LTP, supporting the role of balance between systemic inflammation and immunity in recurrence after MWA. Ablation energy/tumor size predicted NLR increase, reinforcing the concept of immune ablation.

LEVEL OF EVIDENCE

III.

Prediction Model and Nomogram of Early Recurrence of Hepatocellular Carcinoma after Radiofrequency Ablation Based on Logistic Regression Analysis

The purpose of this study was to screen for high-risk factors leading to the early recurrence of hepatocellular carcinoma (HCC) after radiofrequency ablation (RFA) and to construct a prediction model and nomogram. This retrospective study included 108 patients with primary HCC who underwent RFA treatment at the Harbin Medical University Cancer Hospital between January 2018 and June 2019. Four risk factors were screened for using univariate and multivariate logistic regression analyses: number of tumors (hazard ratio [HR] = 14.684, 95% confidence interval [CI]: 1.099-196.215, p = 0.042), neutrophil-to-lymphocyte ratio (NLR) (HR = 2.178, 95% CI: 1.003-4.730, p = 0.049), contrast-enhanced ultrasound (CEUS) performance (HR = 6.482, 95% CI: 1.161-36.184, p = 0.033) and α-fetoprotein (AFP) level (HR = 1.001, 95% CI: 1.000-1.003, p = 0.040). We established a prediction model: Logit(p) = -3.096 + 2.827 × (number of tumors >1 = 1) + 1.851 × (CEUS revealing rapid enhancement of blood flow signal in the arterial phase and clearance in the portal phase = 1) + 1.941 × (NLR >1.55 = 1) + 0.257 × (AFP >32.545 = 1). Through clinical decision curve analysis, the model's threshold was 0.043-0.873, indicating a high clinical value. Patients with a high AFP level, typical CEUS enhancement pattern, multiple tumors and elevated NLR are more likely to relapse early.

Preoperative Prognostic Nutritional Index and Neutrophil-to-Lymphocyte Ratio Predict Survival Outcomes of Patients With Hepatocellular Carcinoma After Curative Resection

Increasing evidence indicates that preoperative prognostic indices can serve as independent predictors of survival in patients with cancer. However, the applicability of these indices in patients with hepatocellular carcinoma (HCC) is controversial. This study aims to investigate the prognostic value of these indices in patients with HCC after curative hepatectomy. We retrospectively analyzed the data of 215 patients who underwent curative resection for HCC. Prognostic indices including prognostic nutritional index (PNI) and neutrophil-to-lymphocyte ratio (NLR) were evaluated by comparing by the area under the curve (AUC). Univariate analysis and multivariate analysis were performed to identify independent prognostic factors. Additionally, risk factors were combined to predict the survival of patients. We found that serum albumin concentration, tumor diameter, tumor stage, degree of differentiation, PNI, and NLR were independent prognostic factors for overall survival (OS). Vascular invasion, tumor stage, degree of differentiation, and PNI were independent prognostic factors for recurrence-free survival (RFS). The cutoff value of the PNI and NLR was 43.75 and 3.29, respectively. Patients with low NLR and high PNI had the best outcomes, potentially indicative of the intensive antitumor effects of the immune system. Moreover, patients with at least three risk factors had a significantly lower OS and RFS compared with those with two or fewer risk factors. This new nomogram based on PNI and NLR may provide an accessible and individualized prediction of survival and recurrence for HCC patients.

Risk factors for recurrence beyond Milan criteria after radiofrequency ablation in transplantable small hepatocellular carcinoma

This study aims to determine the risk factors of recurrence beyond Milan criteria in patients with transplantable early hepatocellular carcinoma (HCC) after the first Radiofrequency ablation (RFA). 95 patients with newly diagnosed transplantable small HCC with single ≤ 3 cm were analyzed retrospectively. During the 39-month median follow-up period, 12 (21.8%) patients with HCC < 2 cm and 22 (56.4%) patients with HCC ≥ 2 cm relapsed beyond Milan criteria (p = 0.001). The 1- and 3-year recurrence rates beyond Milan criteria were 6.3% and 14.7% in HCC < 2 cm group, compared with 24.1% and 55.6% in HCC ≥ 2 cm group(p < 0.0001).HCC ≥ 2 cm, red blood cell distribution width-to-lymphocyte ratio (RLR) ≥ 18.3, alpha-fetoprotein (AFP) > 15 ng/ml and early recurrence after RFA were independent predictors of recurrence exceeding Milan criteria. For patients with transplantable early single small HCC whose tumor diameter ≥ 2cm and have higher RLR and AFP levels before first RFA and early recurrence after RFA (recurrence within 2 years), close follow-up and early liver transplantation should be initiated to obtain the best survival benefit.