Assessment of Liver Function for Evaluation of Long-Term Outcomes of Intrahepatic Cholangiocarcinoma: A Multi-Institutional Analysis of 620 Patients

Tumour burden score combined with albumin-to-alkaline phosphatase ratio predicts prognosis in patients with intrahepatic cholangiocarcinoma

Tumour morphology (tumour burden score (TBS)) and liver function (albumin-to-alkaline phosphatase ratio (AAPR)) have been shown to correlate with outcomes in intrahepatic cholangiocarcinoma (ICC). This study aimed to evaluate the combined predictive effect of TBS and AAPR on survival outcomes in ICC patients. We conducted a retrospective analysis using a multicentre database of ICC patients who underwent curative surgery from 2011 to 2018. The Kaplan-Meier method was employed to examine the relationship between a new index (combining TBS and AAPR) and long-term outcomes. The predictive efficacy of this index was compared to other conventional indicators. A total of 560 patients were included in the study. Based on TBS and AAPR stratification, patients were classified into three groups. Kaplan-Meier curves demonstrated that 124 patients with low TBS and high AAPR had the best overall survival (OS) and recurrence-free survival (RFS), while 170 patients with high TBS and low AAPR had the worst outcomes (log-rank p < 0.001). Multivariate analyses identified the combined index as an independent predictor of OS and RFS. Furthermore, the index showed superior accuracy in predicting OS and RFS compared to other conventional indicators. Collectively, this study demonstrated that the combination of liver function and tumour morphology provides a synergistic effect in evaluating the prognosis of ICC patients. The novel index combining TBS and AAPR effectively stratified postoperative survival outcomes in ICC patients undergoing curative resection.

Construction and validation of a novel tumor morphology immune inflammatory nutritional score (TIIN score) for intrahepatic cholangiocarcinoma: a multicenter study

BACKGROUND

Tumor morphology, immune function, inflammatory levels, and nutritional status play critical roles in the progression of intrahepatic cholangiocarcinoma (ICC). This multicenter study aimed to investigate the association between markers related to tumor morphology, immune function, inflammatory levels, and nutritional status with the prognosis of ICC patients. Additionally, a novel tumor morphology immune inflammatory nutritional score (TIIN score), integrating these factors was constructed.

METHODS

A retrospective analysis was performed on 418 patients who underwent radical surgical resection and had postoperative pathological confirmation of ICC between January 2016 and January 2020 at three medical centers. The cohort was divided into a training set (n = 272) and a validation set (n = 146). The prognostic significance of 16 relevant markers was assessed, and the TIIN score was derived using LASSO regression. Subsequently, the TIIN-nomogram models for OS and RFS were developed based on the TIIN score and the results of multivariate analysis. The predictive performance of the TIIN-nomogram models was evaluated using ROC survival curves, calibration curves, and clinical decision curve analysis (DCA).

RESULTS

The TIIN score, derived from albumin-to-alkaline phosphatase ratio (AAPR), albumin-globulin ratio (AGR), monocyte-to-lymphocyte ratio (MLR), and tumor burden score (TBS), effectively categorized patients into high-risk and low-risk groups using the optimal cutoff value. Compared to individual metrics, the TIIN score demonstrated superior predictive value for both OS and RFS. Furthermore, the TIIN score exhibited strong associations with clinical indicators including obstructive jaundice, CEA, CA19-9, Child-pugh grade, perineural invasion, and 8th edition AJCC N stage. Univariate and multivariate analysis confirmed the TIIN score as an independent risk factor for postoperative OS and RFS in ICC patients (p < 0.05). Notably, the TIIN-nomogram models for OS and RFS, constructed based on the multivariate analysis and incorporating the TIIN score, demonstrated excellent predictive ability for postoperative survival in ICC patients.

CONCLUSION

The development and validation of the TIIN score, a comprehensive composite index incorporating tumor morphology, immune function, inflammatory level, and nutritional status, significantly contribute to the prognostic assessment of ICC patients. Furthermore, the successful application of the TIIN-nomogram prediction model underscores its potential as a valuable tool in guiding individualized treatment strategies for ICC patients. These findings emphasize the importance of personalized approaches in improving the clinical management and outcomes of ICC.

Current Status and Future Direction of Albumin-Bilirubin in Hepatocellular Carcinoma: A Bibliometric Analysis

INTRODUCTION

Hepatocellular carcinoma (HCC) is a common malignant tumor, so we need a convenient and objective way to diagnose and treat HCC. We discuss the current situation, progress, hotspots, and existing problems of Albumin-Bilirubin (ALBI) in HCC, which can provide new ideas for the prevention, diagnosis, and treatment of HCC.

METHODS

We adopt Excel 2019 software and visual analysis tools based on Web of Science database search. This manuscript uses VOSviewer, Co-Occurrence13.3 (COOC13.3) software to conduct overall trend analysis, synonym merging, frequency of countries, journals, institutions, funds, dissimilarity matrices, co-occurrence matrices, bimodal matrices, coupling matrices, cluster analysis of topic evolution time zone graphs.

RESULTS

A total of 610 papers were included, and the number of papers output showed an overall upward trend. ALBI has been valued by the industry in HCC and plays an important role in diagnosing and treating HCC, even better than the classic Child-Pugh (C-P) grade. At the same time, hot spots in the treatment of HCC and other applications of ALBI were discovered.

CONCLUSION

ALBI score is a convenient and objective liver function evaluation index, which plays an important role in the prediction of patient survival rate and prognosis. Promoting the ALBI score in HCC can help doctors judge the patient's condition and improve the diagnosis and precise treatment effect.

Machine learning radiomics to predict the early recurrence of intrahepatic cholangiocarcinoma after curative resection: A multicentre cohort study

PURPOSE

Postoperative early recurrence (ER) leads to a poor prognosis for intrahepatic cholangiocarcinoma (ICC). We aimed to develop machine learning (ML) radiomics models to predict ER in ICC after curative resection.

METHODS

Patients with ICC undergoing curative surgery from three institutions were retrospectively recruited and assigned to training and external validation cohorts. Preoperative arterial and venous phase contrast-enhanced computed tomography (CECT) images were acquired and segmented. Radiomics features were extracted and ranked through their importance. Univariate and multivariate logistic regression analysis was used to identify clinical characteristics. Various ML algorithms were used to construct radiomics-based models, and the predictive performance was evaluated by receiver operating characteristic curves, calibration curves, and decision curve analysis.

RESULTS

127 patients were included for analysis: 90 patients in the training set and 37 patients in the validation set. Ninety-two patients (72.4%) experienced recurrence, including 71 patients exhibiting ER. Male sex, microvascular invasion, TNM stage, and serum CA19-9 were identified as independent risk factors for ER, with the corresponding clinical model having a poor predictive performance (AUC of 0.685). Fifty-seven differential radiomics features were identified, and the 10 most important features were utilized for modelling. Seven ML radiomics models were developed with a mean AUC of 0.87 ± 0.02, higher than the clinical model. Furthermore, the clinical-radiomics models showed similar predictive performance to the radiomics models (AUC of 0.87 ± 0.03).

CONCLUSION

ML radiomics models based on CECT are valuable in predicting ER in ICC.

Revision of potential prognostic markers of cholangiocarcinoma for clinical practice

INTRODUCTION

Cholangiocarcinoma (CCA) is an aggressive cancer arising from any part of the biliary system. Effective treatment of CCA remains limited, resulting in the poor overall prognosis of patients. The effective prognostic biomarkers for CCA remain lacking, and most are at the research level.

AREAS COVERED

The incidences of CCAs, classification, genetic and molecular characteristics, and distinct clinical outcomes in each subtype are introduced. The prognostic markers currently used in clinical practice are reviewed. Studies of biomarkers in defining the aggressiveness of CCA, identifying patients with a potential tumor recurrence, and predicting the survival time, are reviewed. Emerging biomarkers discovered from advanced high throughput technology over the past five years are updated and summarized. Finally, in-depth and critical revision on the prognostic biomarkers for CCA reported from various sources of specimens, e.g. tissues, blood, bile, etc. are discussed.

CONCLUSION

Many prognostic biomarkers for CCA have been proposed and hold promising clinical value. However, these markers are rarely used in the real clinical world due to several factors. Understanding the roles and importance of these prognostic markers may fundamentally impact the therapeutic management of CCA, and hopefully, improve the development of custom and patient-directed therapies for CCA.

Preoperative Fibrinogen Albumin Ratio is an Effective Biomarker for Prognostic Evaluation of Gallbladder Carcinoma After Radical Resection: A 10-Year Retrospective Study at a Single Center

Background

To explore and screen preoperative serum immune response level-related biomarkers with better prognostic ability and developed a prognostic model for decision-making in clinical practice for gallbladder carcinoma (GBC) patients.

Methods

A total of 427 patients who underwent radical resection for GBC in the Department of Hepatobiliary Surgery of the First Affiliated Hospital of Xi'an Jiaotong University from January 2011 to December 2020 were retrospectively analyzed. Time-dependent receiver operating characteristic (time-ROC) was performed to determine the prognostic predictive power of preoperative biomarkers. A nomogram survival model was established and validated.

Results

Time-ROC indicated that the preoperative fibrinogen-to-albumin ratio (FAR) had a better predictive ability for overall survival among preoperative serum immune response level-related biomarkers. Multivariate analysis indicated that FAR was an independent risk factor (P<0.05). The proportion of clinicopathological characteristics of poor prognosis (such as advanced T stage, and N1-2 stage) was significantly higher in high FAR group (P<0.05). Subgroup analyses indicate the prognostic discrimination ability of FAR depended on CA19-9, CA125, liver involvement, major vascular invasion, perineural invasion, T stage, N stage, and TNM stage (all P <0.05). A nomogram model was established based on the prognostic independent risk factors with the C-index of 0.803 (95% CI:0.771~0.835) and 0.774 (95% CI:0.696~0.852) in the training and testing sets, respectively. The decision curve analysis indicated the nomogram model had a better predictive ability than the FAR and TNM staging system in the training and testing sets.

Conclusion

Preoperative serum FAR has a better predictive ability for overall survival among preoperative serum immune response level-related biomarkers, and it can be used for survival assessment of GBC and guide clinical decision-making.

Albumin-to-Alkaline Phosphatase Ratio as a Prognostic Biomarker for Spinal Fusion in Lumbar Degenerative Diseases Patients Undergoing Lumbar Spinal Fusion

Objective: To determine if preoperative albumin-alkaline phosphatase ratio (AAPR) is predictive of clinical outcomes in patients with degenerative lumbar diseases undergoing lumbar fusion. Method: 326 patients undergoing posterior lumbar decompression and fusion were retrospectively analyzed. The cumulative grade was calculated by summing the Pfirrmann grades of all lumbar discs. Grouping was based on the 50th percentile of cumulative grade. The relationship between AAPR, intervertebral disc degeneration (IDD) severity, and fusion rate was explored using correlation analyses and logistic regression models. Meanwhile, the ROC curve evaluated the discrimination ability of AAPR in predicting severe degeneration and non-fusion. Results: High AAPR levels were significantly negatively correlated with severe degeneration and non-fusion rate. A multivariate binary logistic analysis revealed that high preoperative AAPR was an independent predictor of severe degeneration and postoperative non-fusion (OR: 0.114; 95% CI: 0.027−0.482; p = 0.003; OR: 0.003; 95% CI: 0.0003−0.022; p < 0.001). The models showed excellent discrimination and calibration. The areas under the curve (AUC) of severe degeneration and non-fusion identified by AAPR were 0.635 and 0.643. Conclusion: The AAPR can help predict the severity of disc degeneration and the likelihood of non-fusion.

Prognosis of intrahepatic cholangiocarcinoma stratified by albumin-bilirubin grade

AIM

Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive malignancy. However, the characteristics and prognosis of ICC is not well known. This study aims to reveal the relationship between liver function and prognosis of ICC.

METHODS

A total of 83 ICC patients were recruited retrospectively from March 2009 to August 2020. Child-Pugh (CP) and albumin-bilirubin (ALBI) scores were used to assess liver function. The extent of portal vein tumor thrombosis (PVTT) was classified from Vp0 to Vp4. The end-point for this analysis was overall survival (OS).

RESULTS

The median age was 72 (44-88) years, 48 patients were male (57.8%), and 70 patients were classified as CP grade A (84.3%). At baseline, chronic liver disease (hepatitis B, 9.6%; hepatitis C, 15.7%; alcoholic liver disease, 9.6%; and nonalcoholic fatty liver disease, 4.8%) were diagnosed. The median OS of all ICC patients was 21.2 months. A total of 27 patients underwent surgical resection; these patients showed a longer median OS compared to those who did not undergo surgery (50.8 months vs. 5.5 months, p < 0.001). The prognosis of patients with ICC can be stratified by ALBI grade (grade 1, 54.3 months; grade 2a, 8.4 months; grade 2b, 3.9 months; and grade 3, 1.4 months; p < 0.001) and the extent of PVTT (Vp0, 54.3 months; Vp1/2, 8.4 months; and Vp3/4, 3.9 months; p = 0.0039).

CONCLUSION

In this study, viral hepatitis (25.3%) was identified as the most prevalent background liver disease of ICC. Assessing liver function using ALBI grade is useful for stratifying the prognosis of patients with ICC.

Fibrinogen/albumin ratio index is an independent predictor of recurrence-free survival in patients with intrahepatic cholangiocarcinoma following surgical resection

Background

Systemic inflammation and nutritional status are associated with tumor development and progression. This study investigated the prognostic value of fibrinogen/albumin ratio index (FARI) in predicting recurrence-free survival (RFS) in patients with intrahepatic cholangiocarcinoma (ICC) undergoing hepatectomy.

Methods

A retrospective cohort was conducted including patients who received curative hepatectomy for ICC at our hospital between May 2010 and December 2016. We collected the preoperative hematologic parameters and clinical data of all patients. Time-dependent receiver operating characteristic curve was used to identify the optimal cutoff value of FARI. The association between FARI-high and FARI-low group was investigated by using the Kaplan–Meier method. A nomogram based on the results of univariate and multivariate analysis was established.

Results

A total of 394 patients with ICC who underwent hepatectomy at our hospital were enrolled. K-M analysis revealed that increased FARI was related to reduced RFS (P < 0.001). The multivariate analysis indicated that tumor number, tumor–node–metastasis stage, lymph node metastasis, cirrhosis, serum carbohydrate antigen 19-9, and FARI were independent predictors of RFS, and the ROC curve analysis showed that the optimal cutoff value for FARI was 0.084 based on the Youden index. The nomogram for FARI showed satisfactory accuracy in predicting RFS for ICC patients undergoing hepatectomy (C index = 0.663; AIC = 3081.07).

Conclusion

Preoperative FARI is an independent predictor of RFS in patients undergoing hepatectomy for ICC, and the nomogram can be useful for clinical decision-making in the postoperative management of these patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-021-02330-2.

A Novel Nomogram Based on Hepatic and Coagulation Function for Evaluating Outcomes of Intrahepatic Cholangiocarcinoma After Curative Hepatectomy: A Multi-Center Study of 653 Patients

Background and Aims

Hepatic and coagulation function are routine laboratory tests prior to curative hepatectomy. The prognostic value of gamma-glutamyl transpeptidase (GGT) to platelet ratio (GPR) and international normalized ratio (INR) in surgically treated patients with intrahepatic cholangiocarcinoma (ICC) remains unclear.

Methods

ICC patients received curative hepatectomy in two west China centers were included. Time-dependent ROC curves were conducted to compare established indexes with prognostic value for ICC. GPR-INR score was introduced and evaluated using the Time-dependent AUC curve and Kaplan-Meier survival analysis. A novel nomogram based on the GPR-INR score was proposed; Harrell’s C-index, calibration curve and decision curve analysis were used to assess this nomogram.

Results

A total of 653 patients were included. The areas under ROC curves of GPR and INR in OS and RFS were superior to other indexes. Patients with a high GPR-INR score (1,2) presented significantly decreased overall survival (OS) and recurrence-free survival (RFS); GPR-INR sore, along with several clinicopathological indexes were selected into the nomogram, the calibration curve for OS probability showed good coincidence between the nomogram and the actual surveillance. The C-index of the nomogram was 0.708 (derivation set) and 0.746 (validation set), which was more representative than the C-indexes of the GPR-INR score (0.597, 0.678). In decision curve analysis, the net benefits of the nomogram in derivation and validation set were higher than Barcelona Clinic Liver Cancer staging (BCLC) classification and American Joint Committee on Cancer (AJCC) TNM 8^th staging system.

Conclusions

The proposed nomogram generated superior discriminative ability to established staging systems; it is profitable to applicate this nomogram in clinical practice.

The albumin-to-alkaline phosphatase ratio as an independent predictor of future non-alcoholic fatty liver disease in a 5-year longitudinal cohort study of a non-obese Chinese population

Background

The albumin-to-alkaline phosphatase ratio (AAPR) is a newly developed index of liver function, but its association in patients with non-alcoholic fatty liver disease (NAFLD) has not been established. The aim of this study was to investigate the association between the AAPR and NAFLD in a non-obese Chinese population.

Methods

The study included 10,749 non-obese subjects without NAFLD at baseline and divided them into quintiles according to the AAPR. A Cox multiple regression model was used to examine the association between the AAPR and its quintiles and the incidence of NAFLD.

Results

The average age of the study population was 43.65 ± 15.15 years old. During the 5-year follow-up, 1860 non-obese subjects had NAFLD events. In the Cox multiple regression model, after adjusting the model according to important risk factors, the AAPR and NAFLD risk were independently correlated, and with a gradual increase in the AAPR, the NAFLD risk decreased gradually (HR: 0.61, 95% CI: 0.47, 0.81; P-trend< 0.0001). Additionally, there were significant interactions between the AAPR and BMI, blood pressure and lipids (P-interaction < 0.05). Stratified analysis showed that the risk of AAPR-related NAFLD decreased in people with normal blood pressure and lipid levels, while the risk of AAPR-related NAFLD increased abnormally in people who were underweight.

Conclusions

This longitudinal cohort study provides the first evidence that the AAPR is an independent predictor of future NAFLD events in non-obese people. For non-obese people with a low AAPR, especially those with BMI < 18.5 kg/m², more attention should be given to the management of risk factors for NAFLD to prevent future NAFLD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12944-021-01479-9.

Developing a Selection-aided Model to Screen Cirrhotic Intrahepatic Cholangiocarcinoma for Hepatectomy

Background: This study aimed to establish a model predicting the prognosis of intrahepatic cholangiocarcinoma (ICC) patients with cirrhosis before liver resection (LR). Methods: An Eastern Hepatobiliary Surgery Hospital (EHBH) model using the preoperative factors was established in a training cohort (305 patients from 2006 to 2011) and validated in an internal validation cohort (113 patients from 2012 to 2014). Predictive performance and discrimination were evaluated and compared with other staging systems. Results: The EHBH model containing preoperative factors of carbohydrate antigen 19-9 (CA19-9), radiological tumor diameter, tumor number, and satellite nodules outperformed other staging systems in predicting the prognosis of ICC. A contour plot of 3-year survival probability and a nomogram to form two differentiated groups of patients (high-risk group and low-risk group) were constructed based on the EHBH model to help surgeons predicting the overall survival (OS) before LR. Patients from the high-risk group (>86.56 points) in the training cohort had worse OS rates compared with those from the low-risk group (≤86.56 points). The one-, three-, and five-year OS rates were 50.4%, 29.0%, and 21.0% for the high-risk group and 68.2%, 45.5%, and 39.7% for the low-risk group, respectively (P<0.001). The same results were obtained in the internal validation patients. Conclusion: The contour plot is an easy-to-use tool to individually show the 3-year prognosis of ICC patients with different preoperative CA19-9 values and radiological characteristics before surgery. The EHBH model was suitable for selecting cirrhotic patients for LR to acquire a better survival.