Comparative performances of staging systems for early hepatocellular carcinoma

Comparison of the long-term outcomes of patients with hepatocellular carcinoma within the Milan criteria treated by ablation, resection, or transplantation

BACKGROUND

Liver transplantation (LT), resection (LR), and ablation (LA) are three curative-intent treatment options for patients with early hepatocellular carcinoma (HCC). We aimed to develop a prognostic calculator to compare the long-term outcomes following each of these therapies.

METHODS

A total of 976 patients with HCC within the Milan criteria who underwent LT, LR, and LA between 2009 and 2019 from four institutions were evaluated. Multistate competing risks prediction models for recurrence-free survival (RFS), recurrence within the Milan criteria (RWM), and HCC-specific survival (HSS) were derived to develop a prognostic calculator.

RESULTS

During a median follow-up of 51 months, 420 (43%) patients developed recurrence. In the multivariate analysis, larger tumor size, multinodularity, older age, male, higher alpha-fetoprotein (AFP), higher albumin-bilirubin (ALBI) grade, and the presence of portal hypertension were significantly associated with higher recurrence and decreased survival rates. The RFS and HSS were both significantly higher among patients treated by LT than by LR or LA and significantly higher between patients treated by LR than by LA (all p < 0.001). For multinodular HCC ≤3 cm, although LT had better RFS and HSS than LR or LA, LA was noninferior to LR. An online prognostic calculator was then developed based on the preoperative clinical factors that were independently associated with outcomes to evaluate RFS, RWM, and HSS at different time intervals for all three treatment options.

CONCLUSIONS

Although LT resulted in the best recurrence and survival outcomes, LR and LA also offered durable long-term alternatives. This prognostic calculator is a useful tool for clinicians to guide an informed and personalized discussion with patients based on their tumor biology and liver function.

Prognostic Nomograms Based on the Cirrhotic Severity Scoring for Preoperative Prediction of Long-Term Outcomes in Patients with HBV-Related Hepatocellular Carcinoma and Child-Pugh Grade A Liver Function

Background

Cirrhotic severity scoring (CSS) is a noninvasive method that can predict histological severity of cirrhosis. This study is aimed at assessing the predictive value of CSS on long-term outcomes after curative hepatectomy for patients with hepatitis B virus- (HBV-) related hepatocellular carcinoma (HCC) and Child-Pugh grade A liver function and further developing novel nomograms to preoperatively predict posthepatectomy recurrence and survival.

Methods

Consecutive patients who underwent curative hepatectomy for HCC between 2008 and 2014 were retrospectively studied. According to the CSS, patients were subclassified into 3 groups: no/mild, moderate, and severe cirrhosis. The impact of CSS on recurrence-free survival (RFS) and overall survival (OS) was assessed. Furthermore, RFS and OS nomograms were developed.

Results

The 5-year RFS and OS rates were 36.1% and 62.8% in the no/mild cirrhosis group, compared with 28.4% and 56.2% in the moderate cirrhosis group, and 16.2% and 33.0% in the severe cirrhosis group. Long-term survival outcomes were significantly worse with the increment of cirrhotic severity. CSS, alpha-fetoprotein level, tumor size, tumor number, and macrovascular invasion were identified as independent predictors of both RFS and OS. Besides, albumin-bilirubin grade was an independent risk factor of OS not RFS. RFS- and OS-predictive nomograms based on these preoperative variables were built. For these 2 nomograms, the C-indexes were 0.696 and 0.732, respectively. Calibration curves exhibited good agreement between actual observation and nomogram prediction.

Conclusions

CSS was a predictor for long-term outcomes in HCC patients after curative hepatectomy. The novel nomograms exhibited accurate preoperative prediction of posthepatectomy recurrence and OS.

A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients With Early Hepatocellular Carcinoma: A Study Based on SEER Database

Background: Primary liver cancer is a common malignant tumor primarily represented by hepatocellular carcinoma (HCC). The number of elderly patients with early HCC is increasing, and older age is related to a worse prognosis. However, an accurate predictive model for the prognosis of these patients is still lacking.

Methods: Data of eligible elderly patients with early HCC in Surveillance, Epidemiology, and End Results database from 2010 to 2016 were downloaded. Patients from 2010 to 2015 were randomly assigned to the training cohort (n = 1093) and validation cohort (n = 461). Patients' data in 2016 (n = 431) was used for external validation. Independent prognostic factors were obtained using univariate and multivariate analyses. Based on these factors, a cancer-specific survival (CSS) nomogram was constructed. The predictive performance and clinical practicability of our nomogram were validated. According to the risk scores of our nomogram, patients were divided into low-, intermediate-, and high-risk groups. A survival analysis was performed using Kaplan–Meier curves and log-rank tests.

Results: Age, race, T stage, histological grade, surgery, radiotherapy, and chemotherapy were independent predictors for CSS and thus were included in our nomogram. In the training cohort and validation cohort, the concordance indices (C-indices) of our nomogram were 0.739 (95% CI: 0.714–0.764) and 0.756 (95% CI: 0.719–0.793), respectively. The 1-, 3-, and 5-year areas under receiver operating characteristic curves (AUCs) showed similar results. Calibration curves revealed high consistency between observations and predictions. In external validation cohort, C-index (0.802, 95%CI: 0.778–0.826) and calibration curves also revealed high consistency between observations and predictions. Compared with the TNM stage, nomogram-related decision curve analysis (DCA) curves indicated better clinical practicability. Kaplan–Meier curves revealed that CSS significantly differed among the three different risk groups. In addition, an online prediction tool for CSS was developed.

Conclusions: A web-based prediction model for CSS of elderly patients with early HCC was constructed and validated, and it may be helpful for the prognostic evaluation, therapeutic strategy selection, and follow-up management of these patients.

A practical nomogram and risk stratification system predicting the cancer-specific survival for patients with early hepatocellular carcinoma

BACKGROUND

Our purpose was to establish and validate a nomogram model in early hepatocellular carcinoma (HCC) patients for predicting the cancer-specific survival (CSS).

METHODS

We extracted eligible data of relevant patients between 2010 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Further, we divided all patients into two groups (training and validation cohorts) at random (7:3). Nomogram was established using effective risk factors based on univariate and multivariate analysis. The effective performance of nomogram was evaluated using concordance index (C-index), calibration plots, decision curve analysis (DCA), and receiver operating characteristic curve (ROC).

RESULTS

We selected 3620 patients with early HCC including the training cohort (70%, 2536) and the validation cohort (30%, 1084). The nomogram-related C-indexes were 0.755 (95% CI: 0.739-0.771) and 0.737 (95% CI: 0.712-0.762), in the training and validation cohorts, respectively. The calibration plots showed good consistency of 3-and 5-year CSS between the actual observation and the nomogram prediction. The 3-, 5-year DCA curves also indicated that the nomogram has excellent clinical utility. The 3-, 5-year area under curve (AUC) of ROC in the training cohort were 0.783, 0.779, respectively, and 0.767, 0.766 in the validation cohort, respectively. With the establishment of nomogram, a risk stratification system was also established that could divide all patients into three risk groups, and the CSS in different groups (i.e., low risk, intermediate risk, and high risk) had a good regional division.

CONCLUSIONS

We developed a practical nomogram in early HCC patients for predicting the CSS, and a risk stratification system follow arisen, which provided an applicable tool for clinical management.

Predictive value of preoperative and postoperative peripheral lymphocyte difference in hepatitis B virus-related hepatocellular cancer patients: Based on the analysis of dynamic nomogram

BACKGROUND

Inflammation plays an important role in the progression and prognosis of hepatocellular carcinoma (HCC). Our aim is to explore the prognostic value of preoperative and postoperative peripheral lymphocyte differences and to develop a dynamic prognosis nomogram in hepatitis B virus-related HCC patients.

METHODS

Important indicators related to overall survival (OS) are screened out by Cox proportional hazard models. The receiver operating characteristic curves, decision curve analysis curves, net reclassification improvement, and integrated discrimination improvement were used to evaluate the performance of the model.

RESULTS

Lymphocyte (L) difference was an independent risk factor. It was further verified that the performance of the nomogram was significantly improved after the L difference was incorporated into the nomogram. The nomogram generated had the area under curves of 0.779, 0.775, and 0.793 at 3, 5, and 7 years after surgery, respectively. Our nomogram models showed significantly better performance in predicting the HCC prognosis compared to other models. And online webserver and scoring system table was built based on the proposed nomogram for convenient clinical use.

CONCLUSIONS

It is newly found that L difference is an effective predictor of OS, and the nomogram based on this indicator can accurately predict the prognosis of HCC patients.

Integrated tumor stromal features of hepatocellular carcinoma reveals two distinct subtypes with prognostic/predictive significance

Current clinical classification of hepatocellular carcinoma (HCC) is unable to predict prognosis efficiently. Our aim is to classify HCC into clinically/biologically relevant subtypes according to stromal factors. We detected seven types of stromal features in tumors from 161 HCC patients by immunohistochemical staining and Hematoxylin-eosin staining. Five stromal features were selected out of seven types of stromal features to construct stromal type based on LASSO COX regression model. Then, integrating multiple clinicopathologic characteristics and stromal type, we built two nomograms for overall survival (OS) and disease-free survival (DFS). Further validation of the stromal type and nomograms were performed in the testing cohort (n = 160) and validation cohort (n = 120). Using the LASSO model, we classified HCC patients into stromal type A subgroup (CD34^lowTIL-stromal-ratio^highStromal-tumor-ratio^lowα-SMA^weakStroma^mature) and stromal type B subgroup (CD34^highTIL-stromal-ratio^lowStromal-tumor-ratio^highα-SMA^strongStroma^immature). The stromal type was an independent prognostic factor for OS and DFS in the training, testing and validation cohorts. Two nomograms (for OS and DFS) that integrated the stromal type and clinicopathologic risk factors also showed good predictive accuracy and discriminatory power. In addition, immune cell recruitment in the tumor microenvironment (TME) was conditioned by the tumor stromal type. In conclusion, the newly developed tumor stromal type was an effective predictor of OS and DFS. Furthermore, the stromal type is associated with the immune phenotype in the TME.

A Simple-to-Use Nomogram for Predicting the Survival of Early Hepatocellular Carcinoma Patients

Objective: This study aimed to develop and validate a simple-to-use nomogram for early hepatocellular carcinoma (HCC) patients undergoing a preoperative consultation and doctors conducting a postoperative evaluation.

Methods: A total of 2,225 HCC patients confirmed with stage I or II were selected from the Surveillance, Epidemiology, and End Results database between January 2010 and December 2015. The patients were randomly divided into two groups: a training group (n = 1,557) and a validation group (n = 668). Univariate and multivariate hazards regression analyses were used to identify independent prognostic factors. The Akaike information criterion (AIC) was used to select variables for the nomogram. The performance of the nomogram was validated concerning its ability of discrimination and calibration and its clinical utility.

Results: Age, alpha-fetoprotein (AFP), race, the degree of differentiation, and therapy method were significantly associated with the prognosis of early HCC patients. Based on the AIC results, five variables (age, race, AFP, degree of differentiation, and therapy method) were incorporated into the nomogram. The concordance indexes of the simple nomogram in the training and validation groups were 0.707 (95% CI: 0.683–0.731) and 0.733 (95% CI: 0.699–0.767), respectively. The areas under the receiver operating characteristic (ROC) curve of the nomogram in the training and validation groups were 0.744 and 0.764, respectively, for predicting 3-year survival, and 0.786 and 0.794, respectively, for predicting 5-year survival. Calibration plots showed good consistency between the predictions of the nomogram and the actual observations in both the training and validation groups. Decision curve analysis (DCA) showed that the simple nomogram was clinically useful, and the overall survival significantly differed between low- and high-risk groups divided by the median score of the nomogram in the training group (P < 0.001).

Conclusion: A simple-to-use nomogram based on a large population-based study is developed and validated, which is a conventional tool for doctors to facilitate the individual consultation of preoperative patients and the postoperative personalized evaluation.

Genomewide identification of a novel six-LncRNA signature to improve prognosis prediction in resectable hepatocellular carcinoma

The current prognostic long noncoding RNA (lncRNA) signatures for hepatocellular carcinoma (HCC) are still controversial and need to be optimized by systematic bioinformatics analyses with suitable methods and appropriate patients. Therefore, we performed the study to establish a credible lncRNA signature for HCC outcome prediction and explore the related mechanisms. Based on the lncRNA profile and the clinical data of carefully selected HCC patients (n = 164) in TCGA, six of 12727 lncRNAs, MIR22HG, CTC‐297N7.9, CTD‐2139B15.2, RP11‐589N15.2, RP11‐343N15.5, and RP11‐479G22.8 were identified as the independent predictors of patients’ overall survival in HCC by sequential univariate Cox and 1000 times Cox LASSO regression with 10‐fold CV, and multivariate Cox analysis with 1000 times bootstrapping. In the Kaplan‐Meier analysis with patients trichotomized by the six‐lncRNA signature, high‐risk patients showed significantly shorter survival than mid‐ and low‐risk patients (log‐rank test P < 0.0001). According to the ROCs, the six‐lncRNA signature showed superior predictive capacity than the two existing four‐lncRNA combinations and the traditional prognostic clinicopathological parameter TNM stage. Furthermore, low MIR22HG and CTC‐297N7.9, but high CTD‐2139B15.2, RP11‐589N15.2, RP11‐343N15.5, and RP11‐479G22.8, were, respectively, demonstrated to be related with the malignant phenotypes of HCC. Functionally, the six lncRNAs were disclosed to involve in the regulation of multiple cell cycle and stress response‐related pathways via mediating transcription regulation and chromatin modification. In conclusion, our study identified a novel six‐lncRNA signature for resectable HCC prognosis prediction and indicated the underlying mechanisms of HCC progression and the potential functions of the six lncRNAs awaiting further elucidation.

A novel and validated prognostic nomogram based on liver fibrosis and tumor burden for patients with hepatocellular carcinoma after curative resection

BACKGROUND AND OBJECTIVES

Most conventional staging systems were formulated concerning the tumor burden rather than the severity of liver fibrosis, which plays a central role in tumor promotion. The aim of this study was to formulate a prognostic nomogram comprehensively considering these two aspects for HCC after hepatectomy.

METHODS

The prognostic significances of the four indicators namely laminin, hyaluronic acid, human procollagen type-III, and collagen type-IV that reflect liver fibrosis were explored in two independent cohorts. A nomogram was established based on the results of multivariate analysis. The predictive accuracy of the nomogram was measured by concordance index (C-index) and calibration. The decision curve analysis (DCA) was used to evaluate the clinical benefit of the nomogram.

RESULTS

Preoperative serum laminin level is an independent prognostic factor for overall survival in HCC patients after resection. The C-indices of the nomogram in the training and validation cohorts were 0.779 and 0.719, respectively. The calibration showed optimal agreement between the prediction by nomogram and actual observation. Moreover, the C-indices and DCA revealed that the nomogram provided better clinical benefit compared with the BCLC stage, CLIP score, and AJCC 7th edition.

CONCLUSIONS

The prognostic nomogram constructed on laminin represents a superior predictive model.

Validation of the American Joint Commission on Cancer (AJCC) 8th Edition Staging System for Patients with Pancreatic Adenocarcinoma: A Surveillance, Epidemiology and End Results (SEER) Analysis

BACKGROUND

The 8th edition of the AJCC staging system for pancreatic cancer incorporated several significant changes. This study sought to evaluate this staging system and assess its strengths and weaknesses relative to the 7th edition AJCC staging system.

METHODS

Using the Surveillance, Epidemiology and End Results (SEER) database (2004-2013), 8960 patients undergoing surgical resection for non-metastatic pancreatic adenocarcinoma were identified. Overall survival was estimated using the Kaplan-Meier method and compared using log-rank tests. Concordance indices (c-index) were calculated to evaluate the discriminatory power of both staging systems. The Cox proportional hazards model was used to determine the impact of T and N classification on overall survival.

RESULTS

The c-index for the AJCC 8th staging system [0.60; 95% confidence interval (CI), 0.59-0.61] was comparable with that for the 7th edition AJCC staging system (0.59; 95% CI, 0.58-0.60). Stratified analyses for each N classification system demonstrated a diminishing impact of T classification on overall survival with increasing nodal involvement. The corresponding c-indices were 0.58 (95% CI, 0.55-0.60) for N0, 0.53 (95% CI, 0.51-0.55) for N1, and 0.53 (95% CI, 0.50-0.56) for N2 classification.

CONCLUSION

This is the first large-scale validation of the AJCC 8th edition staging system for pancreatic cancer. The revised system provides discrimination similar to that of the 7th-edition system. However, the 8th-edition system allows for finer stratification of patients with resected tumors according to extent of nodal involvement.

Biomarkers for Hepatocellular Carcinoma (HCC): An Update

The past decades have witnessed increased use of biomarkers in disease management. A biomarker is any characteristic that can be objectively measured and evaluated as an indicator of normal biological process, pathogenic process, or pharmacological response to a therapeutic intervention. The clinical measurements of biomarkers can be carried out in vivo using imaging modalities like ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI), as well as in vitro utilizing serum or plasma or other body fluids as specimens. In contrast to the imaging modalities, a prominent value of serum biomarkers is that they could be biologically relevant and disease-specific to pathophysiologic or pathologic process of disease development. This article provides an update of serum biomarkers for hepatocellular carcinoma (HCC) in risk assessment for early detection through surveillance.

Evaluation of eight different clinical staging systems associated with overall survival of chinese patients with hepatocellular carcinoma

Background:

Hepatocellular carcinoma (HCC) is a common cancer in China, an area of high hepatitis B virus (HBV) infection. Although several staging systems are available, there is no consensus on the best classification to use because multiple factors, such as etiology, clinical treatment and populations could affect the survival of HCC patients.

Methods:

This study analyzed 743 HBV-related Chinese HCC patients who received surgery first and evaluated the predictive values of eight different commonly used staging systems in the clinic.

Results:

The overall 1-, 3-, 5-year survival rates and a median survival were 91.5%, 70.3%, 55.3% and 72 months respectively. Barcelona Clinic Liver Cancer (BCLC) staging systems had the best stratification ability and showed the lowest Akaike information criterion (AIC) values (2896.577), followed by tumor-node-metastasis 7^th (TNM 7^th) (AIC = 2899.980), TNM 6^th (AIC = 2902.17), Japan integrated staging score (AIC = 2918.085), Tokyo (AIC = 2938.822), Cancer of the Liver Italian Program score (AIC = 2941.950), Chinese University Prognostic Index grade (AIC = 2962.027), and Okuda (AIC = 2979.389).

Conclusions:

BCLC staging system is a better staging model for HBV infection patients with HCC in Chinese population among the eight currently used staging systems. These identifications afford a large group of Chinese HCC patients with HBV infection and could be helpful to design a new staging system for a certain population.

Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection

PURPOSE

To identify magnetic resonance (MR) imaging features that enable prediction of early recurrence (<2 years) after curative resection of hepatocellular carcinoma (HCC) and to derive a preoperative prediction model.

MATERIALS AND METHODS

This retrospective study was approved by the institutional review board. The requirement to obtain written informed consent was waived. A total of 268 patients who underwent hepatic resection for a single HCC from January 2008 to August 2011 were divided into two cohorts: a training cohort, which was used to derive a prediction model (n = 187), and a validation cohort (n = 81). All MR images from the training cohort were reviewed by two radiologists. A prediction model was constructed by using MR imaging features that were independently associated with early recurrence with use of multiple logistic regression analysis. The performance of the prediction model in the validation cohort was evaluated with respect to discrimination (ie, whether the relative ranking of individual predictions of subsequent early recurrence is in the correct order).

RESULTS

In the training cohort, four MR imaging features were independently associated with early recurrence: rim enhancement (odds ratio [OR] = 3.83; 95% confidence interval [CI]: 1.39, 10.52), peritumoral parenchymal enhancement in the arterial phase (OR = 2.64; 95% CI: 1.27, 5.46), satellite nodule (OR = 4.07; 95% CI: 1.09, 15.21), and tumor size (OR = 1.66; 95% CI: 1.31, 2.09). A prediction model derived from these variables showed an area under the receiver operating characteristic curve (AUC) of 0.788 in the prediction of the risk of early recurrence in the training cohort. When applied to the validation cohort, this model showed good discrimination (AUC, 0.783).

CONCLUSION

The prediction model derived from rim enhancement, peritumoral parenchymal enhancement, satellite nodule, and tumor size can be used preoperatively to estimate the risk of early recurrence after resection of a single HCC.

A discussion of serum albumin level in advanced-stage hepatocellular carcinoma: a medical oncologist's perspective

Hepatocellular carcinoma is the most common primary malignant tumor of the liver, and it is particularly prevalent in East and Southeast Asia. With surgical and/or local interventional treatment methods, survival rates for early-stage hepatocellular cancers have increased. However, it is not yet clear which staging systems are more applicable in hepatocellular carcinoma. Serum albumin level is already being used as a criterion in most staging systems. Albumin is an important serum protein in human bodily functions, but only 5 % of the daily amount needed is synthesized by the liver. The serum albumin level is affected by multifactorial situations, including capillary permeability, drugs, liver insufficiency, inflammation and/or infections, dehydration or overhydration, protein loosing disorders, and decreased nutrition intake in anorexia-malnutrition syndrome and cancer cachexia. Because of this complex situation, serum albumin level may affect many staging systems for hepatocellular carcinoma by leading to false-negative results. In this paper, the statuses of current staging systems are reviewed, and possible negative events regarding the serum albumin levels found in these staging systems are discussed.

Evaluation of the seventh edition of the American Joint Committee on Cancer tumour-node-metastasis (TNM) staging system for patients undergoing curative resection of hepatocellular carcinoma: implications for the development of a refined staging system

OBJECTIVES

This study aimed to evaluate the seventh edition of the American Joint Committee on Cancer (AJCC) tumour-node-metastasis (TNM) staging system and to compare its efficacy with those of the fifth and sixth editions of the AJCC staging system and the TNM staging system defined by the Liver Cancer Study Group of Japan.

METHODS

Data for 754 patients submitted to hepatectomy for hepatocellular carcinoma (HCC) between 1989 and 2005 were reviewed. Tumour-free survival was estimated using the Kaplan-Meier method and compared between subgroups using the log-rank test. Prognostic factors for tumour-free survival were identified by multivariable analysis. The accuracy of these staging systems was evaluated using the Cox regression model and a refined staging system was developed based on the drawbacks of the respective systems.

RESULTS

According to the criteria defined by the seventh AJCC TNM staging system, 5-year survival was 50.6% in patients with T1 tumours, 21.0% in patients with T2 tumours, 14.6% in patients with T3a tumours, 12.1% in patients with T3b tumours, and 12.9% in patients with T4 tumours. There was no survival difference between patients with T3a and T3b tumours (P = 0.073), nor between those with T3b and T4 tumours (P = 0.227). Significant prognostic tumour factors were microvascular invasion, tumour multiplicity, bilobar disease and a tumour size of ≥5.0 cm. The fifth and sixth editions of the AJCC TNM staging system were found to be more accurate in prognosis than the seventh.

CONCLUSIONS

The seventh edition of the AJCC TNM staging system is able to adequately stratify patients with early HCC only. A refined staging system is therefore proposed.

Assessment of preoperative magnetic resonance imaging staging in patients with hepatocellular carcinoma undergoing resection compared with the seventh American Joint Committee on Cancer System

OBJECTIVES

The aim of this study was to compare the prognostic utility of a staging system using magnetic resonance imaging (MRI) with the seventh American Joint Committee on Cancer (AJCC) staging system in patients with hepatocellular carcinoma (HCC) who underwent hepatic resection.

MATERIALS AND METHODS

A total of 175 consecutive patients with HCC who underwent curative hepatic resection after MRI between January 2000 and December 2007 were analyzed. In lieu of microvascular invasion, which is used by the AJCC staging system, we devised an MRI staging system in which a size criterion of 2 cm was used to differentiate between tumor stages 1 and 2. All patients were retrospectively staged using the seventh AJCC staging system and the preoperative MRI staging system. Differences in disease-free and overall survival rates between different stages by the MRI and AJCC staging systems were analyzed using the Kaplan-Meier method with log-rank testing. The predictive accuracy of the 2 staging systems was directly compared using the time-dependent receiver operating characteristic curve analysis.

RESULTS

Median follow-up period was 222.9 weeks. During the follow-up period, 74 (42.3%) patients experienced tumor recurrence and 22 (12.6%) died. The median disease-free survival and overall survival were 131.1 and 222.9 weeks, respectively. Both staging systems were excellent for the prediction of disease-free survival across different tumor stages but failed to predict overall survival differences between stages 1 and 2. For disease-free and overall survivals, the time-dependent receiver operating characteristic curve analysis revealed no significant differences in predictive accuracy between the 2 staging systems.

CONCLUSION

A preoperative MRI staging system using a size threshold instead of microvascular invasion may predict the prognosis of HCC patients undergoing hepatic resection as accurately as the seventh AJCC tumor-node-metastasis staging system.

Resection or transplantation for early hepatocellular carcinoma in a cirrhotic liver: does size define the best oncological strategy?

BACKGROUND

Resection and liver transplantation (LT) are the only curative options for hepatocellular carcinoma in cirrhotic patients (HCC-cirr).

OBJECTIVE

We tried to define the best primary intention-to-treat strategy in patients undergoing either resection or LT for early single HCC-cirr (≤5 cm).

METHODS

From 1990 to 2010, 198 patients with early HCC-cirr underwent either resection (group R, n = 97) or LT (group T, n = 101) as the primary procedure. Our policy was to prioritize Childs A patients with peripheral lesions for resection rather than LT. Patient and tumor characteristics, and outcomes (recurrence-free survival [RFS] and overall survival [OS]), were studied.

RESULTS

A longer diagnosis-to-surgery interval, more Child Pugh B/C patients, and more tumor nodules (on histopathological examination) were found in group T patients. The postoperative mortality (4.1% vs 3.0%, P = 0.72) and rate of major complications (19.1% vs 24.7%, P = 0.35) were similar in groups R and T, respectively, whereas tumor recurrence was higher in group R (62% vs 10% in group T, P < 0.0001). The 5-year OS (75% vs 52%, P = 0.0008) and RFS (72% vs 20%, P < 0.0001) were better in group T; similarly, more patients were disease free at last follow-up (27% vs 62%, P < 0.0001). Resection as the surgical procedure, tumor diameter 3 cm or more on histology, and microvascular tumor invasion were poor prognostic factors for OS and RFS. Including dropout patients from LT list in the analysis, the outcomes in group T were still better (70% and 61% vs 51% and 36% at 5 and 10 years, P = 0.01).

CONCLUSIONS

On an intention-to-treat basis, LT is associated with the best survival outcomes in patients with early HCC-cirr. Resection may achieve comparable OS in patients with single HCC-cirr of size smaller than 3 cm; however, the RFS still remains lower than that in patients of group T. This study could serve as a guide for HCC-cirr patients who are candidates for either resection or LT.

Hepatic resection for "BCLC stage A" hepatocellular carcinoma. The prognostic role of alpha-fetoprotein

BACKGROUND

Our aim was to assess the capability of Barcelona Clinic Liver Cancer (BCLC) staging system in allocating stage A patients to hepatic resection (HR) and the effect on survival.

METHODS

We enrolled 132 patients with hepatocellular carcinoma (HCC) amenable to HR. All patients underwent ultrasound (US)-guided anatomical resection (≤2 segments) and then postoperative results were evaluated.

RESULTS

Results showed 95% of patients were Child A, 49% in BCLC A1, 21% in A2, 6% in A3, and 24% in A4. No 30-day mortality occurred. Overall survival got worse from A1 to A4 (P = 0.0271), while no differences were found in Childs A patients with or without portal hypertension (P = 0.1674). Multivariate analysis (Cox model) shows that only AFP (<20 ng/ml) was an independent predictor of survival: If the AFP is incorporated in BCLC staging system (all A1 and A2 patients with abnormal AFP levels were included in A3 subgroup), 5-year survival rate including normal AFP for A1 was 57% and for A2 was 65%, whereas the survival rates impaired in the worst candidates (5-year survival rate including AFP abnormal for A3 and A4 was 36%; P = 0.002). So, introducing AFP in BCLC classification it is possible to simplify the algorithm in only 2 classes, well-separated in survival curves (class 1 [AFP-]: 60%; class 2 [AFP+]: 37%; P = 0.0001).

CONCLUSION

Our experience stressed the high value of BCLC system in staging of patients with HCC, but underlined that in selected patients (normal AFP) even A2 group may benefit from HR with a good survival.

Intrahepatic cholangiocarcinoma: an international multi-institutional analysis of prognostic factors and lymph node assessment

PURPOSE

To identify factors associated with outcome after surgical management of intrahepatic cholangiocarcinoma (ICC) and examine the impact of lymph node (LN) assessment on survival.

PATIENTS AND METHODS

From an international multi-institutional database, 449 patients who underwent surgery for ICC between 1973 and 2010 were identified. Clinical and pathologic data were evaluated using uni- and multivariate analyses.

RESULTS

Median tumor size was 6.5 cm. Most patients had a solitary tumor (73%) and no vascular invasion (69%). Median survival was 27 months, and 5-year survival was 31%. Factors associated with adverse prognosis included positive margin status (hazard ratio [HR], 2.20; P < .001), multiple lesions (HR, 1.80; P = .001), and vascular invasion (HR, 1.59; P = .015). Tumor size was not a prognostic factor (HR, 1.03; P = .23). Patients were stratified using the American Joint Committee on Cancer/International Union Against Cancer T1, T2a, and T2b categories (seventh edition) in a discrete step-wise fashion (P < .001). Lymphadenectomy was performed in 248 patients (55%); 74 of these (30%) had LN metastasis. LN metastasis was associated with worse outcome (median survival: N0, 30 months v N1, 24 months; P = .03). Although patients with no LN metastasis were able to be stratified by tumor number and vascular invasion (N0; P < .001), among patients with N1 disease, multiple tumors and vascular invasion, either alone or together, failed to discriminate patients into discrete prognostic groups (P = .34).

CONCLUSION

Although tumor size provides no prognostic information, tumor number, vascular invasion, and LN metastasis were associated with survival. N1 status adversely affected overall survival and also influenced the relative effect of tumor number and vascular invasion on prognosis. Lymphadenectomy should be strongly considered for ICC, because up to 30% of patients will have LN metastasis.

Comparison of staging systems of hepatocellular carcinoma

Many staging systems of hepatocellular carcinoma (HCC) were established; however, there is no consensus on which is proper in predicting prognosis. This study aims to evaluate various commonly used staging systems of HCC. Patients who underwent surgery during 2001-2007 were included. All patient data were retrospectively staged using six staging systems, that are American Joint Committee on Cancer (AJCC) Tumour-Node-Metastasis (TNM), Okuda staging, Cancer of the Liver Italian Program (CLIP), Barcelona Clinic Liver Cancer (BCLC), Chinese University Prognostic Index (CUPI), and Japan Integrated Staging (JIS). Child-Pugh classification was also evaluated. The staging systems were compared by mean of overall and disease-free survival. Total of 99 patient data were enrolled in the analyses. All staging systems except Okuda were significant in determining overall survival in univariate analyses. In multivariate analyses, TNM and Child-Pugh demonstrated better predictive power for overall survival. In terms of disease-free survival, univariate analyses revealed that TNM, CLIP, BCLC, CUPI, and JIS were significant, and TNM was the best predictive staging system in multivariate analyses. In our study, TNM and Child-Pugh are the representative systems in predicting survival of HCC patients who undergo surgical resection. Moreover, they are practical and easily assessable in clinical practice.

Pretreatment assessment of hepatocellular carcinoma: expert consensus statement

Staging of hepatocellular carcinoma (HCC) is complex and relies on multiple factors including tumor extent and hepatic function. No single staging system is applicable to all patients with HCC. The staging of the American Joint Committee on Cancer / International Union for Cancer Control should be used to predict outcome following resection or liver transplantation. The Barcelona Clinic Liver Cancer scheme is appropriate in patients with advanced HCC not candidate for surgery. Dual phase computed tomography or magnetic resonance imaging can be used for pretreatment assessment of tumor extent but the accuracy of these methods remains poor to characterize < 1 cm lesions. Assessment of tumor response should not rely only on tumor size and new imaging methods are available to evaluate response to therapy in HCC patients. Liver volumetry is part of the preoperative assessment of patients with HCC candidate for resection as it reflects liver function. Preoperative portal vein embolization is indicated in patients with small future liver remnant (≤ 20% in normal liver; ≤ 40% in fibrotic or cirrhotic liver). Tumor size is not a contraindication to liver resection. Liver resection can be proposed in selected patients with multifocal HCC. Besides tumor extent, surgical resection of HCC may be performed in selected patients with chronic liver disease.