Prognostic significance of systemic immune-inflammation index-based nomogram for early stage hepatocellular carcinoma after radiofrequency ablation

Systemic immune-inflammation index as an independent risk factor for diabetic nephropathy: a retrospective, single-center study

Purpose

Systemic immune-inflammation index (SII) was an indicator which could reflect immune response and systemic inflammation. We aim to explore the relationship between SII and diabetic nephropathy (DN).

Methods

SII was calculated as neutrophil count × platelet count/lymphocyte count. The receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnosis power of SII. Univariate and multivariate logistic analysis were conducted to assess SII as the risk factor for DN. A restricted cubic spline model was carried out to show the nonlinear association between SII and DN.

Results

Two hundred participants were enrolled, with an average age of 56.6 ± 13.4 years; 54% participants were categorized as DN. Spearman association analysis showed SII was positive associated with increased urinary albumin to creatinine ratio and serum creatinine, while negative associated with eGFR and serum albumin. The ROC curve revealed that the maximum area under the curve (AUC) was 0.761 (95% CI, 0.694-0.828, P < 0.001). After univariate and multivariate logistic analysis, SII (OR=1.004, P = 0.002) and serum creatinine (OR=1.146, P < 0.001) were risk factors for the occurrence of DN, while age (OR=0.920, P = 0.011) and serum albumin (OR=0.708, P < 0.001) were protective factors for the occurrence of DN. The restricted cubic spline model showed that there was a significant nonlinear association between DN incidence and continuous SII value when it exceeded 624*10ˆ 9/L.

Conclusion

SII is a novel diagnostic biomarker which is independently associated with DN. Further large-scale prospective studies are needed to validate our findings before SII can be considered a reliable diagnostic or prognostic tool for DN.

ViT-based quantification of intratumoral heterogeneity for predicting the early recurrence in HCC following multiple ablation

OBJECTIVES

This study aimed to develop a quantitative intratumoral heterogeneity (ITH) model for assessing the risk of early recurrence (ER) in pre-treatment multimodal imaging for hepatocellular carcinoma (HCC) patients undergoing ablation treatments.

METHODS

This multi-centre study enrolled 633 HCC patients who underwent ultrasound-guided local ablation between January 2015 and September 2022. Among them, 422, 85, 57 and 69 patients underwent radiofrequency ablation (RFA), microwave ablation (MWA), laser ablation (LA) and irreversible electroporation (IRE) ablation, respectively. Vision-Transformer-based quantitative ITH (ViT-Q-ITH) features were extracted from the US and MRI sequences. Multivariable logistic regression analysis was used to identify variables associated with ER. A combined model integrated clinic-radiologic and ViT-Q-ITH scores. The prediction performance was evaluated concerning calibration, clinical usefulness and discrimination.

RESULTS

The final training cohort and internal validation cohort included 318 patients and 83 patients, respectively, who underwent RFA and MWA. The three external testing cohorts comprised of 106 patients treated with RFA, 57 patients treated with LA and 69 patients who underwent IRE ablation. The combined model showed excellent predictive performance for ER in the training (AUC: .99, 95% CI: .99-1.00), internal validation (AUC: .86, 95% CI: .78-.94), external testing (AUC: .83, 95% CI: .73-.92), LA (AUC: .84, 95% CI: .73-.95) and IRE (AUC: .82, 95% CI: .72-.93) cohorts, respectively. Decision curve analysis further affirmed the clinical utility of the combined model.

CONCLUSIONS

The multimodal-based model, incorporating clinic-radiologic factors and ITH features, demonstrated superior performance in predicting ER among early-stage HCC patients undergoing different ablation modalities.

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.

The Predictive Role of Inflammatory Biomarkers for Treatment Response and Progression-Free Survival in Patients with Hepatocellular Carcinoma Receiving Hepatic Arterial Infusion Chemotherapy with FOLFOX Regimen: A Preliminary Study

Objective

This retrospective study aimed to investigate whether pre-treatment inflammatory biomarkers, including the prognostic nutritional index (PNI), monocyte-lymphocyte ratio (MLR), systemic immune inflammation index (SII), and platelet-lymphocyte ratio (PLR), could predict treatment response and prognosis in patients with hepatocellular carcinoma (HCC) receiving hepatic arterial infusion chemotherapy (HAIC) with the oxaliplatin, leucovorin, and fluorouracil (FOLFOX) regimen.

Methods

Based on the cut-off values identified using the receiver-operating characteristic (ROC) curve, 124 patients with HCC who received HAIC with the FOLFOX regimen were divided into low- and high-score MLR, PLR, PNI, and SII groups. Univariate and multivariate regression analyses were performed to identify independent predictors of treatment response and progression-free survival (PFS).

Results

The cut-off values were 0.569 for MLR (area under the curve [AUC]: 0.621), 177.01 for PLR (AUC: 0.554), 713.05 for SII (AUC: 0.570), and 46.85 for PNI (AUC: 0.665). Multivariate Cox regression analysis revealed that the modified albumin-bilirubin (mALBI) grade (hazard ratio [HR]: 2.027; P=0.032), high MLR (HR: 7.250; P=0.002), and low PNI (HR: 0.296; P=0.003) were independent predictors of HAIC non-response, with an AUC value of 0.746 (95% CI: 0.658-0.833). A high MLR (HR: 1.714, 95% CI: 1.086-2.704, P=0.021) was also an independent predictor of PFS. Kaplan-Meier analysis showed that the patients with a high MLR had shorter PFS than those with a low MLR (median PFS: 6 vs 10 months, P=0.011).

Conclusion

The pre-treatment MLR and PNI were predictors of non-response in patients with HCC receiving HAIC with the FOLFOX regimen. The MLR also was an independent predictor of PFS.

Decoding Immune Signature to Detect the Risk for Early-Stage HCC Recurrence

Hepatocellular carcinoma (HCC) is often recognized as an inflammation-linked cancer, which possesses an immunosuppressive tumor microenvironment. Curative treatments such as surgical resection, liver transplantation, and percutaneous ablation are mainly applicable in the early stage and demonstrate significant improvement of survival rate in most patients. However, 70-80% of patients report HCC recurrence within 5 years of curative treatment, representing an important clinical issue. However, there is no effective recurrence marker after surgical and locoregional therapies, thus, tumor size, number, and histological features such as cancer cell differentiation are often considered as risk factors for HCC recurrence. Host immunity plays a critical role in regulating carcinogenesis, and the immune microenvironment characterized by its composition, functional status, and density undergoes significant alterations in each stage of cancer progression. Recent studies reported that analysis of immune contexture could yield valuable information regarding the treatment response, prognosis and recurrence. This review emphasizes the prognostic value of tumors associated with immune factors in HCC recurrence after curative treatment. In particular, we review the immune landscape and immunological factors contributing to early-stage HCC recurrence, and discuss the immunotherapeutic interventions to prevent tumor recurrence following curative treatments.

The relationship between the efficacy of thermal ablation and inflammatory response and immune status in early hepatocellular carcinoma and the progress of postoperative adjuvant therapy

Hepatocellular carcinoma (HCC) is a highly heterogeneous disease. Thermal ablation has the advantages of being equivalent to surgical resection, minimally invasive, low cost and significantly reducing hospital stay. Therefore, it is recommended as one of the first-line radical treatment for early HCC. However, with the deepening of research on early HCC, more and more studies have found that not all patients with early HCC can obtain similar efficacy after radical thermal ablation, which may be related to the heterogeneity of HCC. Previous studies have shown that inflammation and immunity play an extremely important role in the prognostic heterogeneity of patients with HCC. Therefore, the inflammatory response and immune status of patients may be closely related to the efficacy of early HCC after curative thermal ablation. This article elaborates the mechanism of high inflammatory response and poor immune status in the poor prognosis after radical thermal ablation of early HCC, and clarifies the population who may benefit from adjuvant therapy after radical thermal ablation in patients with early HCC, which provides a new idea for the precise adjuvant treatment after radical ablation of early HCC in the future.

A new model based on gamma-glutamyl transpeptidase to lymphocyte ratio and systemic immune-inflammation index can effectively predict the recurrence of hepatocellular carcinoma after liver transplantation

Background

Liver transplantation (LT) is one of the most effective treatment modalities for hepatocellular carcinoma (HCC), but patients with HCC recurrence after LT always have poor prognosis. This study aimed to evaluate the predictive value of the gamma-glutamyl transpeptidase-to-lymphocyte ratio (GLR) and systemic immune-inflammation index (SII) in terms of HCC recurrence after LT, based on which we developed a more effective predictive model.

Methods

The clinical data of 325 HCC patients who had undergone LT were collected and analyzed retrospectively. The patients were randomly divided into a development cohort (n = 215) and a validation cohort (n = 110). Cox regression analysis was used to screen the independent risk factors affecting postoperative recurrence in the development cohort, and a predictive model was established based on the results of the multivariate analysis. The predictive values of GLR, SII and the model were evaluated by receiver operating characteristic (ROC) curve analysis, which determined the cut-off value for indicating patients' risk levels. The Kaplan-Meier survival analysis and the competing-risk regression analysis were used to evaluate the predictive performance of the model, and the effectiveness of the model was verified further in the validation cohort.

Results

The recurrence-free survival of HCC patients after LT with high GLR and SII was significantly worse than that of patients with low GLR and SII (P<0.001). Multivariate Cox regression analysis identified GLR (HR:3.405; 95%CI:1.954-5.936; P<0.001), SII (HR: 2.285; 95%CI: 1.304-4.003; P=0.004), tumor number (HR:2.368; 95%CI:1.305-4.298; P=0.005), maximum tumor diameter (HR:1.906; 95%CI:1.121-3.242; P=0.017), alpha-fetoprotein level (HR:2.492; 95%CI:1.418-4.380; P=0.002) as independent risk factors for HCC recurrence after LT. The predictive model based on these risk factors had a good predictive performance in both the development and validation cohorts (area under the ROC curve=0.800, 0.791, respectively), and the performance of the new model was significantly better than that of single GLR and SII calculations (P<0.001). Survival analysis and competing-risk regression analysis showed that the predictive model could distinguish patients with varying levels of recurrence risk in both the development and validation cohorts.

Conclusions

The GLR and SII are effective indicators for evaluating HCC recurrence after LT. The predictive model based on these indicators can accurately predict HCC recurrence after LT and is expected to guide preoperative patient selection and postoperative follow-up.

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.

Neutrophil/lymphocyte ratio predicts lymph node metastasis in patients with gastric cancer

OBJECTIVE

To identify the independent risk factors of gastric cancer (GC) lymph node metastasis and to determine whether the preoperative neutrophil and lymphocyte ratio (NLR) and the platelet and lymphocyte ratio (PLR) can be used as the indicators of gastric cancer lymph node metastasis.

METHODS

The pathological data of 221 patients with gastric cancer were retrospectively analyzed, and the risk factors of lymph node metastasis were evaluated. The relationship between preoperative NLR and PLR and the clinical pathology of patients were analyzed, and the effect of these two indexes on lymph node metastasis was predicted through receiver operating characteristic (ROC) curve.

RESULTS

Lymph node metastasis correlated with tumor diameter, depth of invasion, Tumor-Node-Metastasis (TNM) stage, preoperative NLR and preoperative PLR (all P<0.05), but not with gender, age and tumor location (all P>0.05). According to the result of multivariate analysis, the degree of differentiation, depth of invasion, TNM staging and NLR were independent risk factors for GC lymph node metastasis.

CONCLUSION

The sensitivity and specificity of PLR, tumor staging and tumor size are lower than NLR. Preoperative NLR can be used as an independent risk factor for the prediction of lymph node metastasis, and one of the effective indicators for predicting the prognosis of patients. Preoperative NLR may be an effective auxiliary tool to assess lymph nodes in GC patients.

Prognostic value of a nomogram based on peripheral blood immune parameters in unresectable hepatocellular carcinoma after intensity-modulated radiotherapy

BACKGROUND

For patients with unresectable hepatocellular carcinoma (uHCC), intensity-modulated radiotherapy (IMRT) has become one of the options for clinical local treatment. Immune parameters, including platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and systemic immune inflammatory (SII), predict survival in various cancers. This study aimed to determine whether peripheral immune parameters can predict survival in patients with uHCC undergoing IMRT and establish a clinically useful prognostic nomogram for survival prediction.

METHODS

The clinical data of 309 HCC patients were retrospectively analyzed and randomly divided into training (n = 216) and validation (n = 93) cohorts. PLR, NLR and SII were collected before and after IMRT. Univariate and multivariate Cox analyses were performed to identify independent prognostic factors affecting survival, which were used to generate a nomogram.

RESULTS

The median survival was 16.3 months, and significant increases in PLR, NLR, and SII were observed after IMRT (P < 0.001). High levels of immune parameters were associated with poor prognosis (P < 0.001); enlarged spleen, Barcelona clinic liver cancer stage (B and C), post-SII, and delta-NLR were independent risk factors for survival and were included in the nomogram, which accurately predicted 3- and 5-year survival. The nomogram was well verified in the validation cohort.

CONCLUSIONS

High levels of immune parameters are associated with poor prognosis in uHCC patients receiving IMRT. Our nomogram accurately predicts the survival of patients with uHCC receiving IMRT.

Prognostic prediction of the platelet-to-lymphocyte ratio in hepatocellular carcinoma: a systematic review and meta-analysis

Background

Platelet-to-lymphocyte ratio (PLR) has been used to predict the prognosis of patients with hepatocellular carcinoma (HCC) with inconsistent results. This meta-analysis aimed to clarify the prognostic value of PLR in patients with HCC.

Methods

We systematically retrieved relevant literature published in the PubMed, Embase, Web of Science, and Cochrane databases up to November 20, 2021. The primary outcomes were the hazard ratios (HRs) and their 95% confidence intervals (CIs) for overall survival (OS), and secondary study outcomes were recurrence-free survival (RFS), disease-free survival (DFS), progression-free survival (PFS). All statistical analyses were conducted by Review Manager 5.4.1 and STATA 16.0 software.

Results

A total of 21 studies comprising 8,779 patients were included in this meta-analysis. Pooled results suggested that a high PLR was significantly associated with poor OS (HR: 1.34, 95% CI: 1.18-1.52, P<0.00001; I²=59%, P=0.0005), RFS or DFS (HR: 1.35, 95% CI: 1.13-1.63, P=0.001; I²=69%, P=0.002), and PFS (HR: 1.55, 95% CI: 1.09-2.22, P=0.02; I²=73%, P=0.02). The subgroup analysis for OS showed, when the PLR cutoff value was greater than 150, the heterogeneity decreased to 0 (HR: 1.48, 95% CI: 1.33-1.68, P<0.00001; I²=0%, P=0.56); when the HBsAg positive population was increased to 100%, the heterogeneity decreased to 0 (HR: 1.46, 95% CI: 1.22-1.73, P<0.0001; I²=0%, P=0.45); compared with other regions in the world, it was more significant in China (HR: 1.43, 95% CI: 1.26-1.62, P<0.00001; I²=52%, P=0.01). In addition, scatter plot showed that the HR was negatively correlated with the proportion of patients with liver cirrhosis.

Conclusions

This meta-analysis suggests that PLR is a negative correlation prognostic biomarker for HCC, high PLR values indicate poor OS, RFS, DFS and PFS, especially in hepatitis B virus (HBV) related patients.

Inflammatory Indexes as Prognostic Factors of Survival in Geriatric Patients with Hepatocellular Carcinoma: A Case Control Study of Eight Slovak Centers

Background and Aims: Hepatocellular cancer (HCC) often occurs in geriatric patients. The aim of our study was to compare overall survival and progression-free survival between geriatric patients (>75 years) and patients younger than 75 years and to identify predictive factors of survival in geriatric patients with HCC. Material and Methods: We performed a retrospective analysis of patients with HCC diagnosed in Slovakia between 2010−2016. Cases (HCC patients ≥75 years) were matched to controls (HCC patients <74 years) based on the propensity score (gender, BCLC stage and the first-line treatment). Results: We included 148 patients (84 men, 57%) with HCC. There were no differences between cases and controls in the baseline characteristics. The overall survival in geriatric patients with HCC was comparable to younger controls (p = 0.42). The one-, two-, and three-year overall survival was 42% and 31%, 19% and 12%, and 12% and 9% in geriatric patients and controls, respectively (p = 0.2, 0.4, 0.8). Similarly, there was no difference in the one- and two-year progression-free survival: 28% and 18% vs. 10% and 7% in geriatric HCC patients and controls, respectively (p = 0.2, 1, -). There was no case−control difference between geriatric HCC patients and younger HCC controls in the overall survival in the subpopulation of patients with no known comorbidities (p = 0.5), one and two comorbidities (p = 0.49), and three or more comorbidities (p = 0.39). Log (CRP), log (NLR), log (PLR), and log (SII) were all associated with the three-year survival in geriatric HCC patients in simple logistic regression analyses. However, this time, only log (NLR) remained associated even after controlling for the age and BCLC confounding (OR 5.32, 95% CI 1.43−28.85). Conclusions. We found no differences in overall survival and progression-free survival between older and younger HCC patients. Parameters of subclinical inflammation predict prognosis in geriatric patients with HCC. A limitation of the study is small number of the treated patients; therefore, further investigation is warranted.