Lymphocyte-to-C-reactive protein ratio as a prognostic factor 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.

The Effect of C-Reactive Protein/Lymphocyte Ratio (CLR) on PFS in Metastatic Breast Cancer Patients Treated with CDK4/6 Inhibitors: A Novel Biomarker

Objective

Hormone positive breast cancer is a tumor with high mortality. Combining antihormonal therapy with cyclin dependent kinase 4/6 inhibitors (CDK4/6i) has resulted in longer survival. The effect of inflammatory parameters such as c-reactive protein and c-reactive protein/lymphocyte ratio (CLR) on efficacy and survival in CDK4/6i treatment is unknown. In our study, we aimed to investigate the role of CLR and some parameters in predicting progression-free survival (PFS) with CDK4/6i.

Methods

This retrospective cohort study included 78 patients with denovo and recurrent metastatic breast cancer treated with CDK4/6i. Cut off values for the prediction of mortality by various numerical parameter scores were performed by ROC Curve analysis. The effect of clinical variables, inflammatory and histopathological parameters on survival was analyzed by Kaplan-Meier method.

Results

Neutrophil/lymphocyte ratio (NLR) and CLR were statistically significant in predicting mortality (p < 0.05). Ki67 and CLR were correlated with PFS. Age and CLR were correlated with OS (p < 0.05). CLR was statistically significant for both PFS (p = 0.022) and OS (p = 0.006).

Conclusion

In patients with metastatic hormone-positive breast cancer using CDK4/6i, low CLR and low Ki67 were correlated with longer PFS duration.

Prognostic Role of Lymphocyte-to-Monocyte Ratio (LMR) in Patients with Intermediate-Stage Hepatocellular Carcinoma (HCC) Undergoing Chemoembolizations (DEM-TACE or cTACE) of the Liver: Exploring the Link between Tumor Microenvironment and Interventional Radiology

Inflammation-based scores are biomarkers of the crosstalk between the tumor microenvironment and the immune response. Investigating the intricate relationship between the tumor stromal microenvironment, biomarkers, and the response to transcatheter arterial chemoembolization (TACE) is essential for early identification of TACE refractoriness or failure, providing insights into tumor biology and facilitating personalized therapeutic interventions. This study addresses a dearth of recent literature exploring the prognostic significance of the preoperative LMR in individuals from western countries diagnosed with stage B hepatocellular carcinoma (HCC) undergoing drug eluting microspheres TACE (DEM-TACE) or conventional TACE (cTACE). This international multi-center retrospective analysis included consecutive patients with stage B HCC who underwent TACE from January 2017 to June 2023. The study evaluated the ability of the preoperative LMR to predict complete response (CR), objective response (OR), sustained response duration (SRD) exceeding 6 months, successful downstaging at 6 months, progression-free survival (PFS) at 6 months, and overall survival (OS) at 6 months. The study population included 109 HCC patients and it was divided into low LMR (LMR < 2.24) and high LMR (LMR ≥ 2.24) groups, according to ROC curve analysis to select the optimal LMR cut-off value. High LMR was associated with lower Hepatitis C prevalence, higher absolute lymphocyte count, and a trend toward lower alpha-fetoprotein. The group with high LMRs exhibited superior CR rates (14.9% vs. 0%), overall OR (43.2% vs. 14.3%), and better PFS at 6 months (75.7% vs. 45.7%). The LMR, specifically categorized as <2.24 and ≥2.24, emerged as a robust predictor for treatment response and short-term outcomes in patients with stage B HCC undergoing DEM- or c-TACE.

DGPRI, a new liver fibrosis assessment index, predicts recurrence of AFP-negative hepatocellular carcinoma after hepatic resection: a single-center retrospective study

Although patients with alpha-fetoprotein-negative hepatocellular carcinoma (AFPNHCC) have a favorable prognosis, a high risk of postoperative recurrence remains. We developed and validated a novel liver fibrosis assessment index, the direct bilirubin-gamma-glutamyl transpeptidase-to-platelet ratio (DGPRI). DGPRI was calculated for each of the 378 patients with AFPNHCC who underwent hepatic resection. The patients were divided into high- and low-score groups using the optimal cutoff value. The Lasso-Cox method was used to identify the characteristics of postoperative recurrence, followed by multivariate Cox regression analysis to determine the independent risk factors associated with recurrence. A nomogram model incorporating the DGPRI was developed and validated. High DGPRI was identified as an independent risk factor (hazard ratio = 2.086) for postoperative recurrence in patients with AFPNHCC. DGPRI exhibited better predictive ability for recurrence 1-5 years after surgery than direct bilirubin and the gamma-glutamyl transpeptidase-to-platelet ratio. The DGPRI-nomogram model demonstrated good predictive ability, with a C-index of 0.674 (95% CI 0.621-0.727). The calibration curves and clinical decision analysis demonstrated its clinical utility. The DGPRI nomogram model performed better than the TNM and BCLC staging systems for predicting recurrence-free survival. DGPRI is a novel and effective predictor of postoperative recurrence in patients with AFPNHCC and provides a superior assessment of preoperative liver fibrosis.

Pretreatment eosinophil count predicts response to atezolizumab plus bevacizumab therapy in patients with hepatocellular carcinoma

AIM

Pretreatment peripheral blood markers have value in predicting the treatment outcome of various cancers. In particular, the eosinophil count has recently gained attention. However, no study has reported the influence of the pretreatment eosinophil count on the outcomes of atezolizumab plus bevacizumab (ATZ/BEV), which is the recommended first-line systemic therapy for unresectable hepatocellular carcinoma (u-HCC).

METHODS

We enrolled 114 patients with u-HCC treated with ATZ/BEV (n = 48) or lenvatinib (n = 66). The patients receiving ATZ/BEV or lenvatinib were divided into two groups by calculating the cutoff value of the pretreatment eosinophil count. The groups were compared regarding the clinicopathological characteristics, outcomes, and incidence of adverse events (AEs).

RESULTS

Twenty-three of 48 patients (47.9%) who received ATZ/BEV therapy were categorized as the ATZ/BEV-eosinophil-high group, which had better responses than the ATZ/BEV-eosinophil-low group (P = 0.0090). Kaplan-Meier curves revealed a trend toward significantly better progression-free survival (PFS) in the ATZ/BEV-eosinophil-high group than the ATZ/BEV-eosinophil-low group (the median PFS: 4.7 months in the ATZ/BEV-eosinophil-low group vs 12.6 months in the ATZ/BEV-eosinophil-high group; P = 0.0064). Multivariate analysis showed that a low eosinophil count was an independent risk factor for worse PFS after ATZ/BEV therapy (P = 0.0424, hazard ratio: 2.24, 95% confidence interval: 1.02-4.89). AEs (≥ grade 3) were significantly more likely to occur in the ATZ/BEV-eosinophil-high group (P = 0.0285). The outcomes did not significantly differ between the LEN-eosinophil-high group and the LEN-eosinophil-low group.

CONCLUSION

A high pretreatment eosinophil count predicted a better response to ATZ/BEV therapy for u-HCC and was associated with the incidence of AEs (≥ grade 3).

Impact of inflammation and the immune system on hepatocellular carcinoma recurrence after hepatectomy

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide. Hepatectomy remains the first-line treatment for patients with resectable HCC. However, the reported recurrence rate of HCC at 5 years after surgery is between 50% and 70%. Tumor-related factors, including tumor size, number and differentiation, and underlying liver disease are well-known risk factors for recurrence after treatment. In addition to tumor-related factors, ever-increasing amounts of studies are finding that the tumor microenvironment also plays an important role in the recurrence of HCC, including systemic inflammatory response and immune regulation. Based on this, some inflammatory and immune markers were used in predicting postoperative cancer recurrence. These include neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, cytotoxic T cells, and regulatory T cells, among others. In this review, we summarized the inflammatory and immune markers that affect recurrence after HCC resection in order to provide direction for adjuvant therapy after HCC resection and ultimately achieve the goal of reducing recurrence.

Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning

BACKGROUND

Infectious complications after colorectal cancer (CRC) surgery increase perioperative mortality and are significantly associated with poor prognosis. We aimed to develop a model for predicting infectious complications after colorectal cancer surgery in elderly patients based on improved machine learning (ML) using inflammatory and nutritional indicators.

METHODS

The data of 512 elderly patients with colorectal cancer in the Third Affiliated Hospital of Anhui Medical University from March 2018 to April 2022 were retrospectively collected and randomly divided into a training set and validation set. The optimal cutoff values of NLR (3.80), PLR (238.50), PNI (48.48), LCR (0.52), and LMR (2.46) were determined by receiver operating characteristic (ROC) curve; Six conventional machine learning models were constructed using patient data in the training set: Linear Regression, Random Forest, Support Vector Machine (SVM), BP Neural Network (BP), Light Gradient Boosting Machine (LGBM), Extreme Gradient Boosting (XGBoost) and an improved moderately greedy XGBoost (MGA-XGBoost) model. The performance of the seven models was evaluated by area under the receiver operator characteristic curve, accuracy (ACC), precision, recall, and F1-score of the validation set.

RESULTS

Five hundred twelve cases were included in this study; 125 cases (24%) had postoperative infectious complications. Postoperative infectious complications were notably associated with 10 items features: American Society of Anesthesiologists scores (ASA), operation time, diabetes, presence of stomy, tumor location, NLR, PLR, PNI, LCR, and LMR. MGA-XGBoost reached the highest AUC (0.862) on the validation set, which was the best model for predicting postoperative infectious complications in elderly patients with colorectal cancer. Among the importance of the internal characteristics of the model, LCR accounted for the highest proportion.

CONCLUSIONS

This study demonstrates for the first time that the MGA-XGBoost model with 10 risk factors might predict postoperative infectious complications in elderly CRC patients.

Prognostic Impact of Lymphocyte-to-C-Reactive Protein Ratio in Patients Who Underwent Surgical Resection for Pancreatic Cancer

BACKGROUND

Increasing evidence indicates that increased systemic inflammation is correlated with poorer cancer-specific survival in various cancer types. This study aimed to evaluate the prognostic value of various combinations of inflammatory factors in patients who underwent surgical resection for pancreatic cancer (PC).

METHODS

We retrospectively analyzed 97 consecutive patients with PC who underwent pancreatectomy. We assessed the predictive impact for recurrence using a combination of 5 inflammatory markers and focused on the lymphocyte-C-reactive protein ratio (LCR) to elucidate its prognostic and predictive value for recurrence-free survival (RFS) and overall survival (OS) in univariate and multivariate analyses using the Cox proportional hazards model.

RESULTS

Low preoperative LCR was correlated with low serum hemoglobin, low serum albumin concentration, high frequency of microscopic vascular invasion, and high frequency of microscopic perineural invasion. The low LCR group had significantly worse RFS and OS. Lower preoperative LCR was an independent predictor of shorter RFS and OS in this cohort.

DISCUSSION

Preoperative LCR is a novel and convenient prognostic marker for patients with PC. Patients with low LCR may require more favorable intensive therapy.

Textbook outcome in the laparoscopic cholecystectomy of acute cholecystitis

PURPOSE

Textbook outcome (TO) is a novel composite measure of clinical outcomes that can be used to measure the quality of surgical outcomes. The aim of this cohort study was to propose TO criteria for laparoscopic cholecystectomy for acute cholecystitis and to identify reasons for TO failure and individual patient factors that predispose to failure.

METHODS

We retrospectively analyzed data for 189 patients with acute cholecystitis who underwent laparoscopic cholecystectomy. TO was defined as laparoscopic cholecystectomy without conversion to open cholecystectomy, intraoperative complications, postoperative complications (Clavien-Dindo classification ≥2), prolonged length of stay (≥10 days), readmission within 30 days, or mortality.

RESULTS

TO was achieved in 154 of 189 patients who underwent laparoscopic cholecystectomy for acute cholecystitis. Medical costs were lower in the TO-achieved group than in the TO-failure group. Factors associated with TO failure on multivariate analysis were age > 70 years, hemoglobin <11.9 g/dL, and white blood cells >18 000 / μL (all P < .05).

CONCLUSIONS

Applying TO to patients with acute cholecystitis allowed us to evaluate the overall quality of care related to hospitalization. TO may provide better assessment of the quality of care and help determine the treatment choice and reduce costs.

Lymphocyte to C-Reactive Protein Ratio as an Early Biomarker to Distinguish Sepsis from Pneumonia in Neonates

Background

Neonatal sepsis is an acute and severe disease that seriously threatens the life and health of newborns. Neonates with pneumonia may also have unrecognized neonatal sepsis. Early diagnosis of neonatal sepsis is beneficial for early treatment. This study aimed to evaluate the clinical significance of the lymphocyte-to-C-reactive protein ratio (LCR) as an early biomarker to distinguish sepsis from pneumonia.

Methods

This retrospective study enrolled 1635 neonates with pneumonia from February 2016 to March 2022. Among them, 182 cases were diagnosed with sepsis based on the positive blood culture results. Clinical and laboratory data were extracted from the electronic medical records. LCR was calculated as the ratio of the total lymphocyte count (×109 cells/L) to the C-reactive protein level (mg/L). Binary logistic regression analysis was conducted to evaluate the clinical significance of LCR as an early biomarker in distinguishing sepsis from pneumonia. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic value of LPCR in sepsis cases. All statistical analyses were conducted using Statistical Product and Service Solutions, version 24.0.

Results

The neonates with pneumonia combined with sepsis had a lower LCR than that of the neonates with pneumonia. Further analysis showed that the prevalence of neonatal pneumonia combined with sepsis was significantly higher in the low-LCR group than in the high-LCR group (20.7% vs 5.5%, P < 001). Binary logistic regression revealed that LCR was an independent risk factor for identifying pneumonia combined with sepsis. The ROC curve analysis revealed that LCR had better power than the lymphocyte count and CRP level individually in diagnosing neonatal pneumonia combined with sepsis (0.72 vs 0.65 vs 0.66, P < 0.001), with 62% sensitivity and 72% specificity.

Conclusion

LCR can be a potential early biomarker in distinguishing neonates with sepsis from those with pneumonia.

Preoperative HALP score is a prognostic factor for intrahepatic cholangiocarcinoma patients undergoing curative hepatic resection: association with sarcopenia and immune microenvironment

BACKGROUND

The hemoglobin-albumin-lymphocyte-platelet (HALP) score is a combination index that assesses nutritional status and systemic inflammatory response and is reported to predict prognosis in several cancer types. However, researches about the usefulness of the HALP score in intrahepatic cholangiocarcinoma (ICC) are limited.

METHODS

This was a single-center, retrospective study of 95 patients who underwent surgical resection for ICC between 1998 and 2018. We divided patients into two groups by calculating the cutoff value of the HALP score and examined clinicopathological characteristics, prognosis, and sarcopenia. Tumor-infiltrating lymphocytes (TILs), CD8 + TILs, and FOXP3 + TILs were evaluated by immunohistochemical staining of resected tumors.

RESULTS

Of 95 patients, 22 were HALP-low. The HALP-low group had significantly lower hemoglobin (p = 0.0007), lower albumin (p = 0.0013), higher platelet counts (p < 0.0001), fewer lymphocytes (p < 0.0001), higher CA19-9 levels (p = 0.0431), and more lymph node metastasis (p = 0.0013). Multivariate analysis revealed that the independent prognostic factors for disease-free survival were maximum tumor size (≥ 5.0 cm) (p = 0.0033), microvascular invasion (p = 0.0108), and HALP score (≤ 25.2) (p = 0.0349), and that factors for overall survival were lymph node metastasis (p = 0.0020) and HALP score (≤ 25.2) (p = 0.0014). The HALP-low group contained significantly more patients with sarcopenia (p = 0.0015). Immunohistochemistry showed that counts of CD8 + TILs were significantly lower in the HALP-low group (p = 0.0075).

CONCLUSIONS

We demonstrated that low HALP score is an independent prognostic factor for ICC patients undergoing curative hepatic resection and is associated with sarcopenia and the immune microenvironment.

Lymphocyte-C-reactive protein ratio with calf circumference could better predict survival of patients with non-metastatic cancer

Systemic inflammatory responses caused by tumor cells play an important role in the occurrence and development of tumors. The aim of this study was to identify biomarkers that most accurately predict prognoses in patients with non-metastatic cancer and to evaluate their clinical significance when combined with muscle markers. This study retrospectively evaluated 2,797 cancer patients diagnosed with cancer at TNM stages I, II, and III. Lymphocyte-C-reactive protein ratio (LCR) in conjunction with calf circumference (CC) were used (or chosed) after evaluating the predictive value of 13 inflammatory marker combinations and five anthropometric indicators for patient outcomes using the C-index. The Kaplan-Meier method and Cox's proportional hazards regression modeling were used to analyze the individual and combined effects of these two potential biomarkers on overall survival. This study enrolled 1,604 men (57.3%) and 1,193 women (42.7%) with a mean age of 58.75 years. Among the 13 inflammatory nutritional indicators, the LCR was the most accurate predictor of prognoses in patients with non-metastatic cancer. After multifactorial adjustment, we found that low LCR had an adverse effect on overall survival (hazard ratio [HR]: 2.50; 95% confidence interval [CI]: 2.17, 2.88; P < 0.001). Low LCR combined with low CC was also shown to be an independent risk factor for poor overall survival (HR: 2.26; 95% CI: 1.80, 2.83; P < 0.001). Compared with LCR or CC alone, the combination of the two had greater prognostic value for patients with non-metastatic cancer. The LCR can be implemented as a useful biomarker to predict prognoses in patients with non-metastatic cancer. CC is the best anthropometric indicator of muscle loss in patients with non-metastatic cancer. The combination of LCR and CC can better predict the prognosis of patients with non-metastatic cancer, and can provide important information for clinicians to formulate diagnosis and treatment plans.

Prognostic value of lymphocyte-C-reactive protein ratio in patients with liver cancer: a meta-analysis

Background: The impact of lymphocyte-C-reactive protein ratio (LCR) on clinical outcomes has been reported in liver cancer such as hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), but the results remain inconsistent. Methods: We searched PubMed, Scopus, Web of Science, Embase and Cochrane Library databases for relevant studies evaluating the association of LCR with survival outcomes and clinicopathological parameters. Results: Eight studies with 4316 patients were included in this meta-analysis. Low LCR was significantly associated with poor overall survival, disease-free survival/relapse-free survival and disease progression clinicopathological parameters in patients with HCC or ICC. Conclusion: Low pretreatment LCR was an adverse prognostic indicator in patients with HCC or ICC. In addition, it was correlated with clinicopathological parameters indicating a higher stage of malignancy.

Association between arterial stiffness and fat mass in patients with obesity

OBJECTIVE

The aim is to observe whether body composition in patients with high-risk obesity (body mass index >35 or between 30 and 34.9kg/m² with a waist circumference greater than 102cm in men or greater than 88cm in women) is related with vascular disease.

METHODS

This is a cross-sectional study of patients with high-risk obesity. Their fat mass was measured through bioimpedance and arterial stiffness through pulse wave velocity (PWV). Tertiles of patients were analyzed according to PWV distribution.

RESULTS

A total of 59 patients were analyzed. As PWV increased, BMI (p=0.02) and fat mass content (p<0.00) increased. There was also a significant increase in inflammation indicators.

CONCLUSIONS

In patients with high-risk obesity, there were differences in their body composition which were associated with changes in arterial stiffness and inflammatory burden.

Prognostic Impact of C-Reactive Protein-to-Lymphocyte Ratio in Non-small Cell Lung Cancer: A Propensity Score-Matching Analysis

BACKGROUND

Many inflammatory and nutritional markers have been used to predict prognosis in lung cancer. The C-reactive protein (CRP)-to-lymphocyte ratio (CLR) is a useful prognostic factor in various cancers. However, the prognostic value of preoperative CLR in patients with non-small cell lung cancer (NSCLC) remains to be established. We examined the significance of the CLR compared with known markers.

METHODS

A total of 1380 surgically resected NSCLC patients treated at two centers were recruited and divided into derivation and validation cohorts. After CLRs were calculated, patients were classified into high and low CLR groups based on the cutoff value determined by receiver operating characteristics curve analysis. Subsequently, we determined the statistical associations of the CLR with clinicopathological factors and prognosis and further analyzed its prognostic impact by propensity-score matching.

RESULTS

Of all the inflammatory markers examined, CLR yielded the highest area-under-the-curve value. The prognostic impact of CLR remained significant after propensity-score matching. Prognosis was significantly worse in the high-CLR group than in the low-CLR group (5-year, disease-free survival [DFS]: 58.1% vs. 81.9%, P < 0.001; 5-year overall survival [OS]: 72.1% vs. 91.2%, P < 0.001). The results were confirmed in the validation cohorts. Multivariable analysis also showed high CLR as an independent factor for both DFS and OS (DFS: hazard ratio [HR] 1.42, P = 0.027; OS: HR 1.95, P = 0.0037).

CONCLUSIONS

Preoperative CLR is a useful marker for predicting the prognosis of NSCLC patients who have undergone surgery.

Lymphocyte-to-C-Reactive Protein Ratio as an Early Sepsis Biomarker for Neonates with Suspected Sepsis

Background

Neonatal sepsis is an extremely dangerous and fatal disease among neonates, and its timely diagnosis is critical to treatment. This research is aimed at evaluating the clinical significance of the lymphocyte-to-C-reactive protein ratio (LCR) as an early sepsis indicator in neonates with suspected sepsis.

Methods

Between January 2016 and December 2021, 1269 neonates suspected of developing sepsis were included in this research. Among them, sepsis was diagnosed in 819 neonates, with 448 severe cases, as per the International Pediatric Sepsis Consensus. Data related to clinical and laboratory tests were obtained via electronic medical records. LCR was calculated as total lymphocyte (109 cells/L)/C-reactive protein (mg/L). Multivariate logistic regression analysis was employed to evaluate the effectiveness of LCR as an independent indicator for determining sepsis in susceptible sepsis neonates. Receiver operating characteristic (ROC) curve analysis was conducted for investigating the diagnostic significance of LCR in sepsis. When suitable, the statistical tool SPSS 24.0 was used for statistical analyses.

Results

LCR decreased significantly in the control, mild, and severe sepsis groups. Further analyses exhibited that there was a substantially greater incidence of sepsis in neonates in the low-LCR group (LCR ≤ 3.94) as opposed to the higher LCR group (LCR > 3.94) (77.6% vs. 51.4%, p < 0.001). Correlation analysis indicated a substantial negative association of LCR with procalcitonin (r = -0.519, p < 0.001) and hospital stay duration (r = -0.258, p < 0.001). Multiple logistic regression analysis depicted LCR as an independent indicator for identifying sepsis and severe cases of this disease. ROC curve analysis indicated the optimal cutoff value of LCR in identifying sepsis to be 2.10, with 88% sensitivity and 55% specificity.

Conclusions

LCR has proven to be a potentially strong biomarker capable of identifying sepsis in a timely manner in neonates suspected to have the disease.

Prognostic Role of Neutrophil-to-Lymphocyte Ratio (NLR), Lymphocyte-to-Monocyte Ratio (LMR), Platelet-to-Lymphocyte Ratio (PLR) and Lymphocyte-to-C Reactive Protein Ratio (LCR) in Patients with Hepatocellular Carcinoma (HCC) undergoing Chemoembolizations (TACE) of the Liver: The Unexplored Corner Linking Tumor Microenvironment, Biomarkers and Interventional Radiology

TACE plays a pivotal role in hepatocellular carcinoma, from disease control to downstaging and bridging to liver transplant. Response to TACE is a surrogate marker of tumor aggressive biology, with manifold practical implications such as survival, the need for more aggressive treatments in the intermediate stage, the selection of patients on the transplant waiting list, the dropout rate from the transplant list and the post-transplant recurrence rate. Inflammation-based scores are biomarkers of the relationship between the tumor stromal microenvironment and the immune response. Investigating the connection among the tumor stromal microenvironment, biomarkers, and the response to TACE is crucial to recognize TACE refractoriness/failure, thus providing patients with tailored therapeutics. This review aims to provide a comprehensive overview of the prognostic roles of the neutrophil-to-lymphocyte ratio (NLR), the lymphocyte-to-monocyte ratio (LMR), the platelet-to-lymphocyte ratio (PLR), and the lymphocyte-to-C reactive protein ratio (LCR) in patients with HCC undergoing chemoembolization of the liver. Inflammation-based scores may be convenient, easily obtained, low-cost, and reliable biomarkers with prognostic significance for HCC undergoing TACE. Baseline cut-off values differ between various studies, thus increasing confusion about using of inflammation-based scores in clinical practice. Further investigations should be conducted to establish the optimal cut-off values for inflammation-based scores, consolidating their use in clinical practice.

New indexes derived from routine blood tests and their clinical application in hepatocellular carcinoma

Considerable efforts have been made in the diagnosis and treatment of hepatocellular carcinoma (HCC), but the prognosis of patients with HCC remains poor. The development of officious and easy-to-use indicators that are applicable to all levels of hospitals for the diagnosis, prognosis and risk prediction of HCC may play an important role in improving the current undesirable situation. The occurrence of HCC can cause a series of local and systemic changes, involving liver function, inflammation, immunity, and nutrition, which can be reflected in routine clinical indicators, especially laboratory metrics. A comprehensive analysis of these routine indicators is capable of providing important information for the clinical management of HCC. Routine clinical indicators are daily medical data that are readily available, easily repeatable, and highly acceptable, which has attracted clinicians to derive a number of comprehensive indexes from routine clinical indicators by means of four arithmetic operations, scoring system, and mathematical modeling. These indexes integrate several clinical indicators into a new single indicator that performs better than any of original individual indicators in the risk prediction, clinical diagnosis and prognostic evaluation of HCC and is easy to use. Herein, we reviewed recent indexes derived from routine clinical indicators for the diagnosis, prognosis and risk prediction of HCC.

Is Lymphocyte C-Reactive Protein Ratio Useful for Predicting Survival in Patients with Non-Metastatic Soft Tissue Sarcoma?

Background: Recently, the lymphocyte-to-CRP ratio (LCR) was found to have a prognostic role in many cancers. However, the clinical significance of LCR in patients with soft tissue sarcoma (STS) has not yet been established. This study aimed to determine whether LCR can predict disease-specific survival (DSS) and event-free survival (EFS) in patients with STS. Methods: In this study, 132 patients were enrolled. The mean follow-up periods were 76.5 months. Blood examinations were performed prior to treatment for all patients. Results: The 5-year DSS in patients with higher and lower LCR was 86.5% and 52.8%, respectively (p < 0.001). Patients with lower LCR had worse survival than those with higher LCR. The 5-year EFS in patients with higher and lower LCR was 66.2% and 31.2%, respectively (p < 0.001). On Receiver operating characteristic analysis, however, there was no significant difference in the area under curve (AUC) between CRP level (AUC = 0.72) and LCR (AUC = 0.711). Conclusions: LCR may be a prognostic factor for predicting oncological events in multivariate analysis, although ROC analysis could not show the superiority of LCR to CRP for predicting oncological outcomes in patients with STS.

Lymphocyte to C-reactive protein ratio could better predict the prognosis of patients with stage IV cancer

BACKGROUND

Systemic inflammation is currently regarded as a hallmark of cancer. This study aimed to accurately clarify the prognostic value of various inflammatory markers in patients with stage IV cancer.

METHODS

This study assessed 2,424 patients with cancer diagnosed with cancer in tumor, node, metastasis (TNM) stage IV. After evaluating the predictive value of 13 inflammatory indicators for patient prognosis using the C index, the lymphocyte C-reactive protein ratio (LCR) was selected to elucidate the prognostic and predictive values in patients with stage IV cancer. Kaplan-Meier and Cox proportional hazards regression models were used to analyze long-term survival.

RESULTS

A total of 1,457 men (60.1%) and 967 women (39.9%) diagnosed with TNM stage IV cancer were enrolled. A ratio of 2,814 was defined as the optimal cut-off value for the LCR. The LCR was the most accurate prognosis predictor for patients with stage IV cancer among the 13 inflammatory nutritional markers evaluated. The multivariate-adjusted restricted cubic spline plot suggested that LCR had an L-shaped dose-response association with all-cause mortality risk. Patients with lower LCR levels tended to present with worse prognoses. Kaplan-Meier curves and log-rank test results showed that the high LCR groups (LCR ≥ 2,814) exhibited a better prognosis, whereas patients with stage IV cancer of different sex and tumor types (for example, gastrointestinal tumor, non-gastrointestinal tumor, and lung cancer) had a worse survival time.

CONCLUSION

The LCR score can be regarded as a stable and useful biomarker to predict prognosis in patients with TNM stage IV compared to other evaluated inflammation indicators.

High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study

Background: Describe the profile of patients with obesity in internal medicine to determine the role of adiposity and related inflammation on the metabolic risk profile and, identify various “high-risk obesity” phenotypes by means of a cluster analysis. This study aimed to identify different profiles of patients with high-risk obesity based on a cluster analysis. Methods: Cross-sectional, multicenter project that included outpatients attended to in internal medicine. A total of 536 patients were studied. The mean age was 62 years, 51% were women. Patients were recruited from internal medicine departments over two weeks in November and December 2021 and classified into four risk groups according to body mass index (BMI) and waist circumference (WC). High-risk obesity was defined as BMI > 35 Kg/m2 or BMI 30−34.9 Kg/m2 and a high WC (>102 cm for men and >88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 ± 16 vs. 61 ± 21 years, p < 0.01), a Charlson Comorbidity Index > 3 (53% vs. 5%, p < 0.001), depression (36% vs. 19%, p = 0.008), severe disability (64% vs. 3%, p < 0.001), and a sarcopenia score ≥ 4 (79% vs. 16%, p < 0.01). In addition, cluster 2 had greater inflammation than cluster 1 (hsCRP: 5.8 ± 4.1 vs. 2.1 ± 4.5 mg/dL, p = 0.008). Conclusions: Two profiles of subjects with high-risk obesity were identified. Based on that, older subjects with obesity require measures that target sarcopenia, disability, psychological health, and significant comorbidities to prevent further health deterioration. Longitudinal studies should be performed to identify potential risk factors of subjects who progress from cluster 1 to cluster 2.

Preoperative lymphocyte-to-C-reactive protein ratio predicts hepatocellular carcinoma recurrence after surgery

Purpose

This study was performed to determine the prognostic value of lymphocyte-to-CRP ratio after curative resection for hepatocellular carcinoma.

Methods

Between July 2010 and October 2021, 173 consecutive patients (144 male, 29 female) who underwent surgical resection for pathologically confirmed hepatocellular carcinoma were included in this retrospective study. Cox regression analysis was used to evaluate the relationship between clinicopathological characteristics and recurrence-free survival (RFS) and overall survival (OS). A P-value of <0.05 was considered statistically significant.

Results

The patients (mean age, 71 years) were stratified into high (≥9,500, n = 108) and low (<9,500, n = 65) lymphocyte-to-CRP ratio groups. The low lymphocyte-to-CRP ratio group had significantly worse RFS and OS. Low lymphocyte-to-CRP ratio (hazard ratio [HR], 1.865; 95% confidence interval [CI], 1.176–2.960; P = 0.008), multiple tumors (HR, 3.333; 95% CI, 2.042–5.343; P < 0.001), and microvascular invasion (HR, 1.934; 95% CI, 1.178–3.184; P = 0.009) were independently associated with RFS, whereas low albumin-to-globulin ratio (HR, 2.270; 95% CI, 1.074–4.868; P = 0.032), α-FP of ≥25 ng/mL (HR, 2.187; 95% CI, 1.115–4.259; P = 0.023), and poor tumor differentiation (HR, 2.781; 95% CI, 1.041–6.692; P = 0.042) were independently associated with OS. Lymphocyte-to-CRP ratio had a higher area under the curve (0.635) than other inflammation-based markers (0.51–0.63).

Conclusion

Lymphocyte-to-CRP ratio is superior to other inflammation-based markers as a predictor of RFS in patients with surgically resected hepatocellular carcinoma.

Combining Pre- and Postoperative Lymphocyte–C-Reactive Protein Ratios Can Better Predict Hepatocellular Carcinoma Prognosis After Partial Hepatectomy

Background

Various preoperative inflammatory indicators have been identified as potential predictors of poor prognosis in patients with hepatocellular carcinoma (HCC), but the role of postoperative inflammatory indicators remains unclear. This study aimed to explore the prognostic value of the postoperative lymphocyte–C-reactive protein ratio (PostLCR) on its own and combined with preoperative LCR (PreLCR).

Methods

A total of 290 patients with primary HCC were retrospectively enrolled in the study. Univariate analysis was used to identify factors significantly associated with poor disease-free survival (DFS) and overall survival (OS), then multivariate analysis was performed to identify independent prognostic indicators of poor survival. Prognostic models based on preoperative, postoperative, and both types of indicators were then constructed, and their predictive performance were evaluated using time-dependent receiver operating characteristic curves and the concordance index (C-index).

Results

PreLCR and PostLCR levels correlated with DFS and OS more strongly than other pre- and postoperative inflammatory indicators, respectively. Decreased PreLCR and PostLCR were independent prognostic factors for both DFS and OS, while HCC patients with decreased PreLCR and PostLCR had worse prognosis than patients with increased PreLCR and PostLCR. Patients into three groups based on their cut-off values of PreLCR and PostLCR, Kaplan–Meier survival analysis indicated that HCC patients with low PreLCR and PostLCR had the worst DFS and OS. The combined model showed better predictive performance at 1 and 3 years post-surgery than individual pre- and postoperative models, the American Joint Committee on Cancer/Tumor-Node-Metastasis (8th edition) staging system and the Barcelona Clinic Liver Cancer system. The combine model demonstrated a markedly superior C-index compared with the other models in DFS and OS.

Conclusion

Our study showed PreLCR and PostLCR are independent predictors of DFS and OS in HCC patients after partial hepatectomy. Models that include both PreLCR and PostLCR can predict prognosis better than well-established clinical staging systems.

Novel combined fibrosis-based index predicts the long-term outcomes of hepatocellular carcinoma after hepatic resection

AIM

Liver fibrosis influences liver regeneration and surgical outcomes. The fibrosis-4 (FIB-4) index is strongly associated with liver fibrosis and cirrhosis. This study aimed to examine the prognostic significance of the combination of FIB-4 index and Protein Induced by Vitamin K Absence or Antagonist-II (PIVKA-II) (PIVKA-II-FIB-4 index score) in patients who underwent curative resection for hepatocellular carcinoma (HCC).

METHODS

We included 284 patients who underwent elective hepatic resection for HCC between January 2000 and December 2018. We retrospectively investigated how FIB-4 index is related to disease-free survival and overall survival.

RESULTS

According to a receiver operating characteristic (ROC) analysis, the optimal cutoff value of the FIB-4 index was 3.44. In a multivariate analysis, high PIVKA-II and FIB-4 index values were independent predictors of both disease-free survival (P = 0.013 and P = 0.005, respectively) and overall survival (P = 0.048 and P < 0.001, respectively). We classified the PIVKA-II and FIB-4 index levels into two groups (high vs. low) and calculated a new score (PIVKA-II-FIB-4 index score; 0-2) by the sum of each measurement (high, 1; low, 0). The 5 year overall survival rates of patients with PIVKA-II-FIB-4 index scores of 0, 1, and 2 were 84.9, 74.4, and 47.1%, respectively (P < 0.001).

CONCLUSION

The combination of the preoperative PIVKA-II and FIB-4 index may be a prognostic factor of HCC after hepatic resection, suggesting that the combined score is useful in assessing the liver fibrosis status in cancer cases.