The High-Sensitivity C-Reactive Protein/Albumin Ratio Predicts Long-Term Oncologic Outcomes after Curative Resection for Hepatocellular Carcinoma

Decoding the Prognostic Significance and Therapeutic Implications of Inflammation-Based Scores in Hepatocellular Carcinoma: A Comprehensive Review

Hepatocellular carcinoma (HCC) is the most common primary liver cancer, posing a significant global health challenge with an increasing incidence. In recent years, multiple staging systems and scores have been proposed, emphasising the necessity for the development of precise prognostic tools. The well-documented etiological relationship between chronic inflammation and carcinogenesis has prompted researchers to explore novel prognostic markers associated with the inflammatory status of HCC patients. This review summarises the current data about inflammation-based scores in the context of HCC. We discuss established scores like the Glasgow Prognostic Score (GPS), modified GPS (mGPS) and the neutrophil-to-lymphocyte ratio (NLR) and others not as extensively studied, examining their utility in predicting survival outcomes and treatment response in HCC patients. Furthermore, we explore emerging scores, including the prognostic nutritional index (PNI) and other lymphocyte-based scores, assessing their potential in refining risk stratification and guiding therapeutic decisions in the era of precision medicine. As research progresses and these scores undergo further refinement and integration into the evolving landscape of HCC management, they carry significant potential for improving patient outcomes.

C-Reactive Protein-Albumin Ratio (CAR): A More Promising Inflammation-Based Prognostic Marker for Patients Undergoing Curative Hepatectomy for Hepatocellular Carcinoma

Background

Systemic inflammatory response is a hallmark of cancer and plays a significant role in the development and progression of various malignant tumors. This research aimed to estimate the prognostic function of the C-reactive protein-albumin ratio (CAR) in patients undergoing hepatectomy for hepatocellular carcinoma (HCC) and compare it with other inflammation-based prognostic scores, including the neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, systemic immune inflammation index, prognostic index, Glasgow prognostic score, and modified Glasgow prognostic score.

Methods

Retrospective analysis was conducted on data from 1039 HCC cases who underwent curative liver resection. The prognostic performance of CAR was compared with other scores using the area under the time-dependent receiver operating characteristic (t-ROC) curve. Multivariable Cox regression analyses were performed to confirm independent predictors for disease-free survival (DFS) and overall survival (OS).

Results

The area under the t-ROC curve for CAR in the evaluation of DFS and OS was significantly greater than that of other scores and alpha-fetoprotein (AFP). Patients were stratified based on the optimal cut-off value of CAR, and the data revealed that both DFS and OS were remarkably worse in the high-CAR set compared to the low-CAR set. Multivariable Cox analysis demonstrated that CAR was an independent prognostic parameters for assessing DFS and OS. Regardless of AFP levels, all patients were subsequently divided into significantly different subgroups of DFS and OS based on CAR risk stratification. Similar results were observed when applying CAR risk stratification to other scoring systems. CAR also showed good clinical applicability in patients with different clinical features.

Conclusion

CAR is a more effective inflammation-based prognostic marker than other scores and AFP in predicting DFS as well as OS among patients with HCC after curative hepatectomy.

Development of ensemble learning models for prognosis of hepatocellular carcinoma patients underwent postoperative adjuvant transarterial chemoembolization

Background

Postoperative adjuvant transarterial chemoembolization (PA-TACE) has been increasing widely used to improve the prognosis of hepatocellular carcinoma (HCC) patients. However, clinical outcomes vary from patient to patient, which calls for individualized prognostic prediction and early management.

Methods

A total of 274 HCC patients who underwent PA-TACE were enrolled in this study. The prediction performance of five machine learning models was compared and the prognostic variables of postoperative outcomes were identified.

Results

Compared with other machine learning models, the risk prediction model based on ensemble learning strategies, including Boosting, Bagging, and Stacking algorithms, presented better prediction performance for overall mortality and HCC recurrence. Moreover, the results showed that the Stacking algorithm had relatively low time consumption, good discriminative ability, and the best prediction performance. In addition, according to time-dependent ROC analysis, the ensemble learning strategies were found to perform well in predicting both OS and RFS for the patients. Our study also found that BCLC Stage, hsCRP/ALB and frequency of PA-TACE were relatively important variables in both overall mortality and recurrence, while MVI contributed more to the recurrence of the patients.

Conclusion

Among the five machine learning models, the ensemble learning strategies, especially the Stacking algorithm, could better predict the prognosis of HCC patients following PA-TACE. Machine learning models could also help clinicians identify the important prognostic factors that are clinically useful in individualized patient monitoring and management.

Prognostic Significance of Serum Albumin Level and Albumin-Based Mono- and Combination Biomarkers in Patients with Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer. Although many surgical and nonsurgical therapeutic options have been established for treating HCC, the overall prognosis for HCC patients receiving different treatment modalities remains inadequate, which causes HCC to remain among the most life-threatening human cancers worldwide. Therefore, it is vitally important and urgently needed to develop valuable and independent prognostic biomarkers for the early prediction of poor prognosis in HCC patients, allowing more time for more timely and appropriate treatment to improve the survival of patients. As the most abundant protein in plasma, human serum albumin (ALB) is predominantly expressed by the liver and exhibits a wide variety of essential biological functions. It has been well recognized that serum ALB level is a significant independent biomarker for a broad spectrum of human diseases including cancer. Moreover, ALB has been commonly used as a potent biomaterial and therapeutic agent in clinical settings for the treatment of various human diseases. This review provides a comprehensive summary of the evidence from the up-to-date published literature to underscore the prognostic significance of serum ALB level and various ALB-based mono- and combination biomarkers in the prediction of the prognosis of HCC patients after treatment with different surgical, locoregional, and systemic therapies.

The prognostic significance of inflammation-immunity-nutrition score on postoperative survival and recurrence in hepatocellular carcinoma patients

Background

Inflammation, immunity, and nutrition status play important roles in tumorigenesis, progression, and metastasis. This study aimed to evaluate the prognostic value of Inflammation-Immunity-Nutrition Score (IINS) for overall survival (OS) and progression-free survival (PFS) in patients with hepatocellular carcinoma (HCC) undergoing radical surgery.

Methods

A total of 204 HCC patients who met the criteria were included in this retrospective study: 144 in the prediction model and 60 in the validation model. IINS was constructed based on the sum of classification scores of preoperative high-sensitivity C-reactive protein (hsCRP), lymphocyte (LYM), and albumin (ALB). The associations between the IINS group and the clinicopathologic characteristics were analyzed using Pearson’s χ2 test or Fisher’s exact test. Multivariate Cox regression analysis was used to evaluate variables significant on univariate analysis. Kaplan-Meier survival curves were conducted to investigate the prognostic values of IINS, Alpha-fetoprotein (AFP) and IINS-AFP classification. The prognostic performances of all the potential prognostic factors were further compared by receiver operating characteristic (ROC) curve, and time-dependent ROC curve. The internal validation and external validation were used to ensure the credibility of this prediction model.

Results

The patients were divided into low and high IINS groups according to the median of IINS. According to multivariate Cox regression analyses, the Barcelona Clinic Liver Cancer (BCLC) Stage (P=0.003), AFP (P=0.013), and IINS (P=0.028) were independent prognostic factors for OS, and BCLC Stage (P=0.009), microvascular invasion (P=0.030), and IINS (P=0.031) were independent prognostic factors for PFS. High IINS group were associated with significantly worse OS and PFS compared with low IINS group (P<0.001; P=0.004). In terms of clinical prognosis, IINS-AFP classification was good in group I, moderate in group II, and poor in group III. Group I had a longer OS (P<0.001) and PFS (P=0.008) compared with group II and III. ROC analysis revealed that IINS-AFP classification had a better prognostic performance for OS (AUC: 0.767) and PFS (AUC: 0.641) than other predictors, excluding its slightly lower predictive power for PFS than IINS. The time-dependent ROC curves also showed that both IINS (12-month AUC: 0.650; 24-month AUC: 0.670; 36-month AUC: 0.880) and IINS-AFP classification (12-month AUC: 0.720; 24-month AUC: 0.760; 36-month AUC: 0.970) performed well in predicting OS for HCC patients. Furthermore, the internal validation and external validation proved that IINS had good predictive performance, strong internal validity and external applicability, and could be used to establish the prediction model.

Conclusion

Inflammation-immunity-nutrition score could be a powerful clinical prognostic indicator in HCC patients undergoing radical surgery. Furthermore, IINS-AFP classification presents better prognostic performance than IINS or AFP alone, and might serve as a practical guidance to help patients adjust treatment and follow-up strategies to improve future outcomes.

C-reactive protein to albumin ratio predicts survival in patients with unresectable hepatocellular carcinoma treated with lenvatinib

We investigated the impact of C-reactive protein to albumin ratio (CAR) on predicting outcomes in 522 patients with unresectable hepatocellular carcinoma (HCC) treated with lenvatinib. We determined the optimal CAR cutoff value with time-dependent receiver operating characteristic curve analysis. Additionally, we clarified the relationship between CAR and liver function or HCC progression. Median overall survival was 20.0 (95% confidence interval (CI), 17.2-22.6) months. The optimal CAR cutoff value was determined to be 0.108. Multivariate analysis showed that high CAR (≥ 0.108) (hazard ratio (HR), 1.915; 95% CI, 1.495-2.452), Eastern Cooperative Oncology Group performance status ≥ 1 (HR, 1.429), and α-fetoprotein ≥ 400 ng/mL (HR, 1.604) were independently associated with overall survival. Cumulative overall survival differed significantly between patients with low versus high CAR (p < 0.001). Median progression-free survival was 7.5 (95% CI, 6.7-8.1) months. Multivariate analysis showed that age, CAR ≥ 0.108 (HR, 1.644; 95% CI, 1.324-2.043), and non-hepatitis B, non-hepatitis C etiology (HR, 0.726) were independently associated with progression-free survival. Cumulative progression-free survival differed significantly between patients with low versus high CAR (p < 0.001). CAR values were significantly higher as Japan Integrated Staging score increased (p < 0.001). In conclusion, CAR can predict outcomes in patients with unresectable HCC treated with lenvatinib.

Predictive Value of High-sensitivity C-reactive Protein to Albumin Ratio and Monocyte to High-density Lipoprotein Ratio in Patients with Brucellosis

Background: Brucellosis is an inflammatory disease that may affect any organ or system. Objectives: The aim of this retrospective cross-sectional study was to investigate the predictive value of novel and traditional inflammatory markers for the diagnosis of brucellosis. Methods: The demographic characteristics and laboratory results of 55 patients with confirmed brucellosis and 60 healthy controls were analyzed and compared. Blood culture was performed using the BacT/ALERT 3D automated system. The presence of Brucella antibodies was detected by both the Brucellacapt test and Brucella Coombs gel test. Complete blood count, erythrocyte sedimentation rate (ESR), and biochemical analyzes were also performed. Results: Compared to healthy controls, the patients with brucellosis had significantly higher high-sensitivity C-reactive protein (hsCRP), hsCRP to albumin ratio (CAR), ESR, monocyte, monocyte to high-density lipoprotein ratio (MHR), aspartate aminotransferase, creatinine levels, while had significantly lower mean platelet volume, lymphocyte to monocyte ratio, albumin, total cholesterol, and high-density lipoprotein levels. There was no significant difference between the two groups in terms of leukocyte count, neutrophil, lymphocyte, hemoglobin, red blood cell distribution width, platelet, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, glucose, alanine aminotransferase, blood urea nitrogen, triglyceride, low-density lipoprotein levels. Positive correlations were observed between CAR, hsCRP, ESR, and MHR levels. Conclusions: This is the first study evaluating the predictive value of CAR and MHR in the diagnosis of brucellosis. The data revealed that CAR and MHR could be used as the markers of systemic inflammation in patients with brucellosis.

Prognostic value of inflammation-immunity-nutrition score in patients with hepatocellular carcinoma treated with anti-PD-1 therapy

BACKGROUND

There are no validated biomarkers that can predict the clinical benefit of immune checkpoint blockers against the programmed cell death protein 1 (PD-1) treatments in hepatocellular carcinoma (HCC). This study aimed to investigate the prognostic value of inflammation-immunity-nutrition score (IINS) in patients with HCC treated with anti-PD-1 therapy.

METHODS

A consecutive series of 101 HCC patients treated with PD-1 inhibitors in Sichuan Provincial People's Hospital between January 2018 and August 2020 were enrolled in the retrospective study. IINS (0-6) was constructed based on pretreatment high-sensitivity C-reactive protein (hsCRP), lymphocyte (LYM), and albumin (ALB). The patients were divided into high and low IINS groups according to IINS values. Prognostic values of each variable were evaluated with univariate and multivariate time-dependent Cox regression analyses. Survival curves were calculated and compared using the Kaplan-Meier method and log-rank test. The prognostic performance of IINS was further compared with that of other traditional prognostic indicators by receiver operating characteristic (ROC) curve and the areas under the ROC curve.

RESULTS

Patients with low IINS had longer overall survival (OS) (HR: 4.711, 95% CI: 1.80-12.37, p = .001) and progression-free survival (HR: 3.411, 95% CI: 1.79-6.51, p < .0001) than those with high IINS. The multivariate analysis identified IINS (HR: 3.746, 95% CI: 1.05-13.38, p = .042) and tumor number (HR: 5.111, 95% CI: 1.075-24.299, p = .04) as independent prognostic factors. According to ROC analysis, IINS (AUC =0.729, 95% CI: 0.597-0.861, p = .002) presented better prognostic performance than other traditional prognostic indicators. The area of the IINS-CA19-9 under the ROC curve (AUC) was higher than that of the IINS or CA19-9 levels for the prediction of OS.

CONCLUSION

The results suggest that IINS may be an independent prognostic indicator for HCC patients treated with anti-PD-1 therapy. IINS-CA19-9 classification may be more effective in predicting clinical benefit of anti-PD-1 therapy in HCC patients.

Clinical Significance of C-Reactive Protein to Albumin Ratio in Patients with Hepatocellular Carcinoma: A Meta-Analysis

Aim

To evaluate the prognostic significance of C-reactive protein to albumin ratio (CAR) for clinical outcomes in hepatocellular carcinoma (HCC) patients. Material and Methods. Eligible studies were searched by PubMed, MedLine, the Cochrane Library, from January 1, 2000, to June 30, 2019, investigating the prognostic value of CAR in patients with HCC. Primary endpoint was OS. Hazard ratio (HR) with 95% confidence interval (CI) was used to determine the effect size.

Results

7 records including 2208 patients published since 2014 were enrolled into our meta-analysis. Clinicopathological characteristics were also correlated with the level of CAR. The pooled HR for the OS rate between low and high CAR groups was 2.13 (95% CI 1.70~2.68, P < 0.00001) using a random model, but sensitivity analysis showed that the pooled HR for the OS rates did not change substantially after removal of any included study. As for patients receiving surgery, the pooled HR for the OS rate between low and high CAR groups was 2.04 (95% CI 1.59~2.61, P < 0.00001). Subgroup analysis showed that CAR could be a prognostic biomarker for HCC patients regardless of regions (China, HR = 1.75, 95% CI 1.51~2.02; Japan, HR = 3.36, 95% CI 2.07~5.45; Korea, HR = 2.26, 95% CI 1.47~4.47; respectively), the cut-off value (<0.1, HR = 2.84, 95% CI 1.90~4.24; >0.1, HR = 1.99, 95% CI 1.52~2.61; respectively), and sample size (<200, HR = 2.85, 95% CI 2.01~4.03; >200, HR = 1.75, 95% CI 1.52~2.02; respectively).

Conclusion

With the current data, we clearly concluded that CAR was closely correlated with prognosis of patients with HCC. Multicenter, prospective randomized trials are warranted to confirm the conclusion.

Acute rejection after liver transplantation is less common, but predicts better prognosis in HBV-related hepatocellular carcinoma patients

BACKGROUND

With a novel finding of significantly lower incidence of acute rejection (AR) in patients with hepatocellular carcinoma (HCC) after liver transplantation, compared with those with benign end-stage liver disease (BESLD), in a large national cohort, we analyzed the correlations among the perioperative immuno-inflammation status, postoperative AR, and prognosis in HCC and BESLD patients with same etiology of hepatitis B virus (HBV), who underwent liver transplantation.

METHODS

Patients who underwent liver transplantation due to HBV-related HCC or BESLD and experienced AR between September 2008 and April 2017 were analyzed retrospectively and followed up until April 2018. HCC patients with AR were matched with those without AR according to tumor stage and immunosuppressant concentration, at a 1:3 ratio. Preoperative immuno-inflammation status and prognosis of patients in both groups were compared.

RESULTS

The overall incidences of AR in patients with HCC and BESLD were 8.60% and 10.61%, respectively. The postoperative 28-day incidence of AR was significantly lower in HCC compared with BESLD patients (3.23% vs 7.08%, p = 0.031). Compared with BESLD patients, the rejection activity index and perioperative CD₄/CD₈ ratio were significantly lower (p = 0.047 and p < 0.001, respectively), while platelet/lymphocyte ratio was significantly higher in HCC patients (p = 0.041). Later tumor stage in HCC patients was associated with higher systemic immuno-inflammation index, neutrophil/lymphocyte ratio, monocyte/lymphocyte ratio, platelet/lymphocyte ratio, aspartate aminotransferase/lymphocyte ratio, C-reactive protein/albumin ratio and fibrinogen level, and lower CD₄/CD₈ ratio before transplantation. In HCC patients with AR, the percentage of regulatory T cells (CD₄⁺/CD₂₅⁺) and the level of IL-10 significantly decreased (p = 0.0023, < 0.0001, respectively), while Th1/Th2 ratio, levels of IFN-γ and IL-2 markedly increased before transplantation (p = 0.0018, 0.0059, 0.0416, respectively). Preoperative monocyte/lymphocyte ratio was an independent risk factor for overall and recurrence-free survival after liver transplantation in HCC patients (p = 0.025, < 0.001, respectively). The 1-, 3-, and 5-year survival rates were 76%, 71% and 53% in the AR group, and 67%, 37% and 25% in the non-AR group (p = 0.042).

CONCLUSION

Preoperative tumor-related immunosuppression may persist after liver transplantation in HCC patients, and reduce the incidence of AR. AR after liver transplantation may indicate a better prognosis in HCC patients.

Comparison of 2 curative treatment options for very early hepatocellular carcinoma: Efficacy, recurrence pattern, and retreatment

Curative treatments for very early-stage hepatocellular carcinoma (HCC), defined as single HCC with a maximum diameter of <2 cm in patients with well-preserved liver function, consist of surgical resection or radiofrequency ablation (RFA). In this retrospective study, we compared the efficacy of both treatments in 154 patients with very early-stage HCCs who underwent resection or RFA as initial therapy and were followed up for a median of 56.8 months. Propensity score matching analysis was also conducted. Overall survival was comparable between treatment groups (median survival time of 143 vs 97 months for resection and RFA, respectively; P = .132). Resection group; however, demonstrated a significantly lower recurrence rate after initial therapy than RFA group (42.3% vs 65.7%; P = .006) with a longer median recurrence-free survival time (66.7 vs 33.8 months; P = .002), which was confirmed even after matching (P = .04). In contrast, the recurrence pattern in advanced-stage (9.6% vs 1.0%; P = .01) or incurable recurrences (19% vs 13%; P = .04) was more frequent following resection than RFA. Recurrent lesions were comparatively more curable in RFA group than in resection group (80% vs 54.5%; P = .02). The recurrence of HCC was independently associated with lower serum albumin level (P = .027), the presence of comorbid diabetes mellitus (P = .010), and RFA (P = .034). In conclusion, in patients with very early-stage HCC, surgical resection has achieved significantly better recurrence-free survival than RFA. A closer follow-up is required after resection.

Prognostic Significance of the Lymphocyte-to-Monocyte Ratio in Bladder Cancer Undergoing Radical Cystectomy: A Meta-Analysis of 5638 Individuals

Introduction

A growing number of studies have explored the association between the pretreatment lymphocyte-to-monocyte ratio (LMR) and survival outcomes in various cancers. However, its prognostic significance on bladder cancer remains inconsistent. The aim of this meta-analysis was to evaluate the prognostic value of pretreatment LMR in bladder cancer.

Methods

The MEDLINE, EMBASE, Cochrane Library, and CNKI databases were comprehensively searched for relevant studies. A meta-analysis of overall survival (OS), recurrence-free survival (RFS), or cancer-specific survival (CSS) clinicopathological features was conducted.

Results

Nine studies containing 5,638 cancer patients were analyzed in this meta-analysis. Patients with high LMR tended to have favourable OS (HR: 0.63, 95% CI: 0.50-0.80, P < 0.001), RFS (HR: 0.59, 95% CI: 0.38-0.91, P = 0.017), and CSS (HR: 0.76, 95% CI: 0.70-0.83, P < 0.001). Moreover, low LMR was highly correlated with age (≥60), differentiation (low), T stage (III-IV), lymph node metastasis (yes), and concomitant Cis (yes).

Conclusion

Pretreatment LMR might be a useful predictor of survival outcomes in patients with bladder cancer.

Prognostic value of the Glasgow prognostic score in colorectal cancer: a meta-analysis of 9,839 patients

Purpose

The aim of this study was to perform a systematic review and meta-analysis to evaluate the value of the Glasgow prognostic score (GPS) or modified Glasgow prognostic score (mGPS) in patients with colorectal cancer (CRC).

Methods

A comprehensive medical literature search was performed using the online databases PubMed, Embase, Web of Science, and the Cochrane Library. After extracting basic characteristics and prognostic data from the included studies, overall survival (OS) and cancer-specific survival (CSS) were pooled as primary outcomes. Subgroup analyses were performed according to therapeutic strategies, models, cutoff values, regions, tumor, node, metastasis stages, sample size, and ages.

Results

Forty-three independent cohorts from 41 studies with 9,839 CRC patients were included in the present study. Correlation between GPS or mGPS and OS was analyzed in 32 cohorts of 7,714 patients, and 23 independent cohorts of 5,375 patients focused on the correlation between GPS or mGPS and CSS. The overall outcomes showed that patients with elevated GPS or mGPS were associated with poor OS (HR: 2.20, 95% CI: 1.88–2.57, P<0.001). Elevated GPS or mGPS also resulted in worse CSS (HR: 1.86, 95% CI: 1.59–2.17, P<0.001). The results of the subgroup analyses confirmed the overall outcomes.

Conclusion

GPS or mGPS is an accurate prognostic predictor in patients with CRC. Patients with elevated pretreatment GPS or mGPS have a poor prognosis. Subgroup analyses confirmed the overall outcomes. Pretreatment GPS is a useful biomarker in the management of CRC.