Proposal of the performance status combined Japan Integrated Staging system in hepatocellular carcinoma complicated with cirrhosis

Spinal metastases from non-small cell lung cancer - Is surgical extent enough by following suggestions of the Tomita and Tokuhashi scores?

BACKGROUND/OBJECTIVE

The Tomita, revised Tokuhashi and Tokuhashi lung scores are commonly used tools to predict the survival of patients with spinal metastases and to guide decisions regarding surgical treatment. These prognostic scores, however, tend to underestimate the prognosis of patients with lung cancer. We examined surgical outcome and hopefully provide a more accurate reference for management.

METHODS

The consistency between predicted and actual survival was examined using the Tomita and Tokuhashi scores. Various factors that may influence survival were analyzed. Primary outcomes were overall survival (OS) and progression-free survival (PFS), defined as the ambulatory time after the initial surgery. Secondary outcomes included reoperation events, blood loss, and hospitalization days.

RESULTS

One hundred seventy-two patients were enrolled. Correct survival predictions were made for 28%, 42%, and 56% with the Tomita, revised Tokuhashi, and Tokuhashi lung scores, respectively. The Tokuhashi lung scores underestimated OS by 35%-40%. Body mass index ≥20, systemic treatment-naïve, good general condition, the use of denosumab, and adenocarcinoma were found to positively affect OS and PFS. There was no significant difference between palliative decompression and excisional surgery regarding OS and PFS.

CONCLUSION

Patients with spinal metastases from lung cancer had better prognosis than that predicted by the Tomita and Tokuhashi scores. Spine surgeons should acknowledge this discrepancy and treat these patients with at least the aggressiveness suggested. Patients with adenocarcinoma, amenable to target therapy, denosumab, good general condition, systemic treatment-naïve are better candidates for surgery. Those with cachexic status and unresectable visceral metastases are worse candidates.

Cancer Cachexia: Its Mechanism and Clinical Significance

The term "cachexia" is derived from the Greek words kakos (bad) and hexis (habit). Cachexia is a malnutrition associated with chronic diseases such as cancer, chronic heart failure, chronic renal failure, and autoimmune diseases, and is characterized by decreased skeletal muscle mass. Cancer cachexia is quite common in patients with advanced cancer. Weight loss is also a characteristic symptom of cancer cachexia, along with decreased skeletal muscle mass. As nutritional supplementation alone cannot improve cachexia, cytokines and tumor-derived substances have been attracting attention as its relevant factors. Cancer cachexia can be also associated with reduced chemotherapeutic effects, increased side effects and treatment interruptions, and even poorer survival. In 2011, a consensus definition of cachexia has been proposed, and the number of relevant research reports has increased significantly. However, the pathogenesis of cachexia is not fully understood, and there are currently few regulatory-approved standard treatments for cachexia. The main reason for this is that multiple etiologies are involved in the development of cachexia. In this review, we will outline the current status of cachexia, the mechanisms of which have been elucidated in recent years, especially from the perspective of advanced cancer.

Importance of tumor size at diagnosis as a prognostic factor for hepatocellular carcinoma survival: a population-based study

Objective

The effects of hepatocellular carcinoma (HCC) tumor size on clinical presentation and treatment selection and its role as a prognostic factor remain unclear. The present study is a comprehensive analysis of the clinical correlation between tumor size at diagnosis and pathological grades, clinical staging, disparities of treatment, and survival of patients with HCC.

Materials and methods

Patients with HCC were separated into groups according to tumor size as follows: 0.1–2.0, 2.1–5.0, 5.1–10.0, and 10.1–20.0 cm. Logistic regression analysis was used to determine the relationship between tumor size at diagnosis and pathological grade, Surveillance, Epidemiology, and End Results (SEER) historic stage A, and treatment selection. The survival of HCC patients stratified by tumor size was estimated by Kaplan–Meier and 5-year survival analyses using the log-rank test. Multivariable analysis of overall survival was performed using the Cox proportional hazards model. Tumor size at diagnosis was an independent risk factor of pathological grade, and SEER historic stage A was revealed by logistic regression analysis.

Results

The 5-year survival rate was 21.9% vs 14.3% vs 9.2% vs 7.7% for all HCC patients and 31.2% vs 23.6% vs 20.3% vs 15.5% for patients who underwent surgery with tumor sizes of 0.1–2.0 vs 2.1–5.0 and 5.1–10.0 vs 10.1–20.0 cm, respectively; multivariable Cox regression analysis identified tumor size at diagnosis as an independent predictor of survival risk with HR of 1.00 vs 1.66 vs 2.92 vs 3.67, respectively.

Conclusion

Tumor size at diagnosis could be used as an independent risk predictor associated with histological grade, stage, selection of surgery, and survival in HCC.

Comparison of five staging systems in predicting the survival rate of patients with hepatocellular carcinoma undergoing trans-arterial chemoembolization therapy

The majority of patients with unresectable hepatocellular carcinoma (HCC) undergo trans-arterial chemoembolization (TACE). However, the prognosis of HCC remains poor. In the present study, five staging systems were compared to predict the survival rate of patients with HCC undergoing TACE treatment. A total of 220 patients with HCC were examined according to the model to estimate survival for hepatocellular carcinoma (MESH), hepatoma arterial embolization prognostic score (HAP), modified HAP (mHAP), performance status combined Japan Integrated Staging system (PSJIS) and tumor-node-metastasis (TNM) staging systems. The endpoints of the study were 3-month survival, 6-month survival, 1-year survival and overall survival (OS) rates. Receiver operating characteristic curve analysis indicated that the area under the curve of MESH, HAP, mHAP, PSJIS and TNM was 0.858, 0.728, 0.690, 0.688 and 0.699, respectively, in predicting 3-month survival rates; 0.822, 0.747, 0.720, 0.722 and 0.715, respectively, in predicting 6-month survival rates and 0.725, 0.664, 0.672, 0.645 and 0.654, respectively, in predicting 1-year survival rates. Discriminatory ability, homogeneity, monotonicity and prognostic stratification ability was evaluated using a likelihood ratio test and Akaike information criterion values among the five staging systems, and revealed that the MESH system was the optimal prognostic staging system for HCC. In conclusion, the results of the present study suggest that the MESH system is the most accurate prognostic staging system of 3-month survival, 6-month survival, 1-year survival and OS rates among the five systems analyzed in patients with HCC who have received TACE treatment.

Validation and ranking of seven staging systems of hepatocellular carcinoma

The aim of the present study was to evaluate the ability of seven staging systems to predict 3- and 6-month and cumulative survival rates of patients with advanced hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC). Data were collected from 220 patients with HBV-associated HCC who did not receive any standard anticancer treatment. Participants were patients at The Third Affiliated Hospital of Sun Yat-sen University from September 2008 to June 2010. The participants were classified according to the Chinese University Prognostic Index (CUPI), the Cancer of the Liver Italian Program (CLIP), Japan Integrated Staging (JIS), China Integrated Score (CIS) systems, Barcelona Clinic Liver Cancer (BCLC), Okuda and tumor-node-metastasis (TNM) staging systems at the time of diagnosis and during patient follow-up. The sensitivity and specificity of the predictive value of each staging system for 3- and 6-month mortality were analyzed by relative operating characteristic (ROC) curve analysis with a non-parametric test being used to compare the area under curve (AUC) of the ROC curves. In addition, log-rank tests and Kaplan-Meier estimator survival curves were applied to compare the overall survival rates of the patients with HCC defined as advanced using the various staging systems, and the Akaike information criterion (AIC) and likelihood ratio tests (LRTs) were used to evaluate the predictive value for overall survival in patients with advanced HCC. Using univariate and multivariate Cox's model analyses, the factors predictive of survival were also identified. A total of 220 patients with HBV-associated HCC were analyzed. Independent prognostic factors identified by multivariate analyses included tumor size, α-fetoprotein levels, blood urea nitrogen levels, the presence or absence of portal vein thrombus, Child-Pugh score and neutrophil count. When predicting 3-month survival, the AUCs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 0.806, 0.772, 0.751, 0.731, 0.643, 0.754 and 0.622, respectively. When predicting 6-month survival, the AUCs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 0.828, 0.729, 0.717, 0.692, 0.664, 0.746 and 0.575, respectively. For 3-month mortality, the prognostic value of CLIP ranked highest, followed by CIS; for 6-month mortality, the prognostic value of CLIP also ranked highest, followed by JIS. No significant difference between the AUCs of CLIP and CIS (P>0.05) in their predictive value for 3-month mortality was observed. The AUC of CLIP was significantly higher compared with that of the other staging systems (P<0.05) for predicting 6-month mortality. The χ2 values from the LRTs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 75.6, 48.4, 46.7, 36.0, 21.0, 46.8 and 7.24, respectively. The AIC values of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 1601.5, 1632.3, 1629.9, 1641.1, 1654.8, 1627.4 and 1671.1, respectively. CLIP exhibited the highest χ2 value and lowest AIC value, indicating that CLIP has the highest predictive value of cumulative survival rate. In the selected patients of the present study, CLIP was the staging system best able to predict 3- and 6-month and overall survival rates. CIS ranked second in predicting 3-month mortality.

When to consider liver transplantation in hepatocellular carcinoma patients?

Orthotopic liver transplantation (LT) has been regarded as the best cure among the three curative treatment modalities. However, when to consider LT in hepatocellular carcinoma (HCC) patients remains a complicated clinical question. In this article, we will look into the recent updates in the context of LT for HCC, including the timing of orthotopic LT (primary or salvage LT), patient selection criteria, newer prognostic markers and scoring systems, down-staging and bridging therapy, salvage LT and treatment option of post-LT HCC recurrence. Evolution of immunosuppressive therapy and future development of the LT for HCC will also be discussed.

Surgical resection of localized hepatocellular carcinoma: patient selection and special consideration

Localized hepatocellular carcinoma (HCC) refers to a solitary or few tumors located within either the left or right hemiliver without evidence of bilobar or extrahepatic spread. This term encompasses a heterogeneous morphology with no regard to stage of prognosis of the disease. Surgical resection remains the mainstay of curative treatment for the localized HCC. Various biochemical and radiological tests constitute an indispensible part of preoperative assessment. Emergence of laparoscopic hepatectomy has brought liver resection into a new era. Improved understanding of the pathophysiology of HCC allows more aggressive surgical resection without compromising outcomes. New insights into the management of special situations, such as ruptured HCC, pyogenic transformation of HCC, and HCC with portal vein tumor thrombus, rekindle the hopes of curative resection in these terminal events. Amalgamating salvage liver transplantation into the surgical management of resectable HCC has revolutionized the treatment paradigm of this deadly disease.

High expression of HEF1 predicts a poorer prognosis of hepatocellular carcinoma: A retrospective study

Human enhancer of filamentation 1 (HEF1), a scaffold protein, is highly expressed in a variety of cancer types and is involved cancer cell growth, migration and invasion. The prognostic value of HEF1 in hepatocellular carcinoma (HCC) remains to be elucidated. The aim of the present study was to assess the association between the expression of HEF1, the clinical/pathological parameters and survival in HCC. In the present study, immunohistochemistry was performed to investigate the protein expression of HEF1 in 123 hepatocellular carcinoma tissues and their adjacent normal liver tissues. Spearman's rank correlation, Kaplan-Meier plots and Cox regression model were used to analyze the data. Overexpression of HEF1 protein was observed in HCC tissue when compared with their adjacent non-malignant liver tissue. High expression of HEF1 correlated with higher advanced tumor, node, metastasis (TNM) stage and vascular invasion (P<0.05). In univariate and multivariate analysis, the expression of HEF1 was identified as an independent prognostic factor in the 123 patients with HCC. In subgroup analysis, high expression of HEF1 correlated with a poorer prognosis in advanced (TNM III+IV) stages (P<0.05). These findings demonstrated the potential value of detecting the expression of HEF1 by immunohistochemistry as a prognostic biomarker and therapeutic target for patients with HCC.

Liver Cirrhosis: Evaluation, Nutritional Status, and Prognosis

The liver is the major organ for the metabolism of three major nutrients: protein, fat, and carbohydrate. Chronic hepatitis C virus infection is the major cause of chronic liver disease. Liver cirrhosis (LC) results from different mechanisms of liver injury that lead to necroinflammation and fibrosis. LC has been seen to be not a single disease entity but one that can be graded into distinct clinical stages related to clinical outcome. Several noninvasive methods have been developed for assessing liver fibrosis and these methods have been used for predicting prognosis in patients with LC. On the other hand, subjects with LC often have protein-energy malnutrition (PEM) and poor physical activity. These conditions often result in sarcopenia, which is the loss of skeletal muscle volume and increased muscle weakness. Recent studies have demonstrated that PEM and sarcopenia are predictive factors for poorer survival in patients with LC. Based on these backgrounds, several methods for evaluating nutritional status in patients with chronic liver disease have been developed and they have been preferably used in the clinical field practice. In this review, we will summarize the current knowledge in the field of LC from the viewpoints of diagnostic method, nutritional status, and clinical outcomes.