Characteristics and risk differences of different tumor sizes on distant metastases of hepatocellular carcinoma: A retrospective cohort study in the SEER database

Characteristics and risk differences of different tumor sizes on distant metastases of pancreatic neuroendocrine tumors: A retrospective study in the SEER database

BACKGROUND

The rate of distant metastasis in patients with pancreatic neuroendocrine tumors (PNETs) is 20%-50% at the time of initial diagnosis. However, whether tumor size can predict distant metastasis for PNETs remains unknown up to date.

METHODS

We used Surveillance, Epidemiology, and End Results (SEER) population-based data to collect 6089 patients with PNETs from 2010 to 2019. The optimal cut-off point of tumor size to predict distant metastasis was calculated by Youden's index. Multivariate logistic regression analysis was used to figure out the association between tumor size and distant metastasis patterns.

RESULTS

The most common metastatic site was liver (27.2%), followed by bone (3.0%), lung (2.3%) and brain (0.4%). Based on an optimal cut-off value of tumor size (25.5 mm) for predicting distant metastasis determined by Youden's index, patients were categorized into groups of tumor size < 25.5 mm and ≥ 25.5 mm. Multivariate logistic regression analyses showed that, compared with < 25.5 mm, tumor size ≥ 25.5 mm was an independent risk predictor of overall distant metastasis [odds ratio (OR) = 4.491, 95% confidence interval (CI): 3.724-5.416, P < 0.001] and liver metastasis (OR = 4.686, 95% CI: 3.886-5.651, P < 0.001).

CONCLUSIONS

Tumor size ≥ 25.5 mm was significantly associated with more overall distant and liver metastases. Timely identification of distant metastasis for tumor size ≥ 25.5 mm may provide survival benefit for timely and precise treatment.

Transarterial Chemoembolization (TACE) Combined with Lenvatinib versus TACE Alone in Intermediate-Stage Hepatocellular Carcinoma Patients Beyond Up-To-Seven Criteria: A Retrospective, Propensity Score-Matched Analysis

RATIONALE AND OBJECTIVES

To compare the treatment efficacy and safety of transarterial chemoembolization (TACE) combined with lenvatinib versus TACE alone in patients with intermediate-stage hepatocellular carcinoma (HCC) beyond up-to-seven criteria.

MATERIALS AND METHODS

A total of 107 newly diagnosed HCC patients with Barcelona Clinic Liver Cancer stage B HCC beyond up-to-seven criteria were included in this retrospective cohort study. These patients were divided into two groups: TACE-Lenv group and TACE alone group. Propensity score matching was used to account for potential confounding factors. Overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), downstaging rate, liver function, and adverse events (AEs) were recorded and evaluated.

RESULTS

Both the median OS and median PFS were significantly longer in the TACE-Lenv group compared to the TACE alone group (median OS: 28.0 vs 12.0 months, P = 0.017; median PFS [mRECIST]: 8.2 vs 3.7 months, P = 0.018; median PFS [RECIST v1.1]: 8.9 vs 3.7 months, P = 0.003). Furthermore, the ORR and DCR were also significantly higher in TACE-Lenv group (ORR: 94% [30/32] vs 47% [15/32], P < 0.001; DCR: 97% [31/32] vs 62% [20/32], P < 0.001). There were no significant differences in terms of liver function and grade 3 or 4 AEs rate between two groups.

CONCLUSION

The combination of TACE and lenvatinib provides clinical benefits for patients with intermediate HCC beyond the up-to-seven criteria, has an acceptable safety profile, shows a trend towards improving liver function, and does not increase the occurrence of grade 3-4 AEs.

KEY POINTS

The efficacy of transarterial chemoembolization in intermediate-stage hepatocellular carcinoma patients is partially unsatisfactory. Addition of lenvatinib to transarterial chemoembolization improves OS, PFS, ORR, and DCR for patients with intermediate-stage hepatocellular carcinoma beyond the up-to-seven criteria. This combination therapy is a superior treatment option for intermediate-stage hepatocellular carcinoma patients with high tumor burden.

Construction of an interpretable model for predicting survival outcomes in patients with middle to advanced hepatocellular carcinoma (≥5 cm) using lasso-cox regression

Background

In this retrospective study, we aimed to identify key risk factors and establish an interpretable model for HCC with a diameter ≥ 5 cm using Lasso regression for effective risk stratification and clinical decision-making.

Methods

In this study, 843 patients with advanced hepatocellular carcinoma (HCC) and tumor diameter ≥ 5 cm were included. Using Lasso regression to screen multiple characteristic variables, cox proportional hazard regression and random survival forest models (RSF) were established. By comparing the area under the curve (AUC), the optimal model was selected. The model was visualized, and the order of interpretable importance was determined. Finally, risk stratification was established to identify patients at high risk.

Result

Lasso regression identified 8 factors as characteristic risk factors. Subsequent analysis revealed that the lasso-cox model had AUC values of 0.773, 0.758, and 0.799, while the lasso-RSF model had AUC values of 0.734, 0.695, and 0.741, respectively. Based on these results, the lasso-cox model was chosen as the superior model. Interpretability assessments using SHAP values indicated that the most significant characteristic risk factors, in descending order of importance, were tumor number, BCLC stage, alkaline phosphatase (ALP), ascites, albumin (ALB), and aspartate aminotransferase (AST). Additionally, through risk score stratification and subgroup analysis, it was observed that the median OS of the low-risk group was significantly better than that of the middle- and high-risk groups.

Conclusion

We have developed an interpretable predictive model for middle and late HCC with tumor diameter ≥ 5 cm using lasso-cox regression analysis. This model demonstrates excellent prediction performance and can be utilized for risk stratification.

Leveraging SEER data through machine learning to predict distant lymph node metastasis and prognosticate outcomes in hepatocellular carcinoma patients

OBJECTIVES

This study aims to develop and validate machine learning-based diagnostic and prognostic models to predict the risk of distant lymph node metastases (DLNM) in patients with hepatocellular carcinoma (HCC) and to evaluate the prognosis for this cohort.

DESIGN

Utilizing a retrospective design, this investigation leverages data extracted from the Surveillance, Epidemiology, and End Results (SEER) database, specifically the January 2024 subset, to conduct the analysis.

PARTICIPANTS

The study cohort consists of 15,775 patients diagnosed with HCC as identified within the SEER database, spanning 2016 to 2020.

METHOD

In the construction of the diagnostic model, recursive feature elimination (RFE) is employed for variable selection, incorporating five critical predictors: age, tumor size, radiation therapy, T-stage, and serum alpha-fetoprotein (AFP) levels. These variables are the foundation for a stacking ensemble model, which is further elucidated through Shapley Additive Explanations (SHAP). Conversely, the prognostic model is crafted utilizing stepwise backward regression to select pertinent variables, including chemotherapy, radiation therapy, tumor size, and age. This model culminates in the development of a prognostic nomogram, underpinned by the Cox proportional hazards model.

MAIN OUTCOME MEASURES

The outcome of the diagnostic model is the occurrence of DLNM in patients. The outcome of the prognosis model is determined by survival time and survival status.

RESULTS

The integrated model developed based on stacking demonstrates good predictive performance and high interpretative variability and differentiation. The area under the curve (AUC) in the training set is 0.767, while the AUC in the validation set is 0.768. The nomogram, constructed using the Cox model, also demonstrates consistent and strong predictive capabilities. At the same time, we recognized elements that have a substantial impact on DLNM and the prognosis and extensively discussed their significance in the model and clinical practice.

CONCLUSION

Our study identified key predictive factors for DLNM and elucidated significant prognostic indicators for HCC patients with DLNM. These findings provide clinicians with valuable tools to accurately identify high-risk individuals for DLNM and conduct more precise risk stratification for this patient subgroup, potentially improving management strategies and patient outcomes.

Survival Benefit of Synchronous Lenvatinib Combined PD-1 Inhibitors for Advanced Hepatocellular Carcinoma Beyond Oligometastasis

Purpose

Strategies therapy for hepatocellular carcinoma (HCC) beyond oligometastasis are limited. The optimal sequence of systemic treatment for advanced HCC is not yet clear. Our study aims to evaluate the effectiveness of simultaneous lenvatinib combined PD-1 inhibitor on advanced HCC beyond oligometastasis.

Patients and Methods

A total of 232 patients were enrolled in our retrospective study. Patients divided into three groups. (a) Lenvatinib plus simultaneous PD-1 inhibitor (Simultaneous group, n=58); (b) patients received PD-1 inhibitor before the tumor progression with continued lenvatinib administration (Before PD group, n=77); (c) patients received PD-1 inhibitor after the tumor progression (After PD group, n=97). To analyze overall survival (OS) and progression-free survival (PFS) among the three groups.

Results

The estimated 6-, 12-, 18- and 24-mon OS for Simultaneous group patients were 100%, 93.1%, 63.4%, 48.3%, whereas the OS rates were 100%, 78%, 36.3%, 23.6% in Before PD group, and 99%, 61.2%, 22.1%, 7.5% in After PD group. The OS rates were obviously improved with the use of simultaneous PD-1 inhibitor among the three groups (P <0.001). The estimated 3-, 6-, 9- and 12-month PFS rates for patients were 89.6%, 44.8%, 24.6%, 6% in After PD group, 90.9%, 59.7%, 27.3%, 12.4% in Before PD group and 98.3%, 81%, 51.7%, 39.7% in Simultaneous group, respectively. PFS rate was significantly different among the three groups (P <0.001).

Conclusion

Synchronous administration of lenvatinib and PD-1 inhibitors improved survival rate significantly. The synchronous combination could represent a promising strategy in HCC beyond oligometastasis.

Comparison of metastasis and prognosis between early-onset and late-onset hepatocellular carcinoma: A population-based study

Background

While hepatocellular carcinoma (HCC) represents a highly heterogeneous disease with variable oncogenesis mechanisms and biological features, little is understood about differences in distant metastasis (DM) and prognosis between early-onset and late-onset HCC. This study defined early-onset disease as cancer diagnosed at age younger than 50 years and aimed to present a comprehensive analysis to characterize these disparities based on age.

Methods

Information of HCC patients was retrospectively collected from the SEER database and our hospital. Patient demographics, tumor characteristics, and survival were compared between the two groups. A 1:1 propensity score matching (PSM) was adopted to adjust confounding factors. Logistic and cox analysis were utilized to explore risk factors of DM and prognosis, respectively. Besides, the survival differences were assessed by the Kaplan-Meier curve and log-rank test.

Results

In total, 19187 HCC patients obtained from the SEER database and 129 HCC patients obtained from our own center were enrolled. Among 19187 patients with HCC, 3376 were identified in the matched cohort, including 1688 early-onset patients and 1688 late-onset patients. Compared with late-onset HCC, early-onset HCC was more likely to occur in female (25.2% vs. 22.9%, P = 0.030), have large tumors (>10.0 cm, 24.1% vs. 14.6%, P = 0.000), harbor poorly differentiated/undifferentiated cancers (17.0% vs. 14.0%, P = 0.003), present advanced clinical stage (T3+T4, 33.7% vs. 28.5%; N1, 9.2% vs. 6.7%; P = 0.000), and develop DM (13.0% vs. 9.5%, P = 0.000). After adjustment for confounders by PSM, we discovered that early-onset HCC remained an independent risk factor for DM. However, combined with Kaplan-Meier curve and cox analysis, early-onset HCC was an independent favorable predictor of survival. We validated these data on an independent cohort from our hospital.

Conclusion

In this population-based study, despite developing DM more frequently, early-onset HCC exhibited a superior prognosis than late-onset HCC. Nevertheless, further research is warranted to understand the underlying aetiologic basis for the disparities.

Conditional survival probability of distant-metastatic hepatocellular carcinoma: A population-based study

BACKGROUND

The prognosis of many patients with distant metastatic hepatocellular carcinoma (HCC) improved after they survived for several months. Compared with traditional survival analysis, conditional survival (CS) which takes into account changes in survival risk could be used to describe dynamic survival probabilities.

AIM

To evaluate CS of distant metastatic HCC patients.

METHODS

Patients diagnosed with distant metastatic HCC between 2010 and 2015 were extracted from the Surveillance, Epidemiology and End Results database. Univariate and multivariate Cox regression analysis were used to identify risk factors for overall survival (OS), while competing risk model was used to identify risk factors for cancer-specific survival (CSS). Six-month CS was used to calculate the probability of survival for an additional 6 mo at a specific time after initial diagnosis, and standardized difference (d) was used to evaluate the survival differences between subgroups. Nomograms were constructed to predict CS.

RESULTS

Positive α-fetoprotein expression, higher T stage (T3 and T4), N1 stage, non-primary site surgery, non-chemotherapy, non-radiotherapy, and lung metastasis were independent risk factors for actual OS and CSS through univariate and multivariate analysis. Actual survival rates decreased over time, while CS rates gradually increased. As for the 6-month CS, the survival difference caused by chemotherapy and radiotherapy gradually disappeared over time, and the survival difference caused by lung metastasis reversed. Moreover, the influence of age and gender on survival gradually appeared. Nomograms were fitted for patients who have lived for 2, 4 and 6 mo to predict 6-month conditional OS and CSS, respectively. The area under the curve (AUC) of nomograms for conditional OS decreased as time passed, and the AUC for conditional CSS gradually increased.

CONCLUSION

CS for distant metastatic HCC patients substantially increased over time. With dynamic risk factors, nomograms constructed at a specific time could predict more accurate survival rates.

Prognostic Analysis on Different Tumor Sizes for 14634 Hepatocellular Carcinoma Patients

Aim. This study investigated the effect of tumor size and other factors on the survival and prognosis of hepatocellular carcinoma (HCC). Methods. All HCC populations based on the National Cancer Institute’s SEER database to receive from 2010 to 2016 were employed in the study. Results. This study enrolled a total of 14,634 HCC. Among them, 1,686 patients had tumors ≤ 2 cm, 6,169 patients had tumors 2–5 cm, and 6,779 patients had tumors > 5 cm. The results using univariate analysis showed that all factors were significant prognostic factors for overall survival and specific survival. Patients with tumor size ≤ 2 cm were more likely to survive, while patients with tumor size > 5 cm had a lower survival rate. Patients who had surgery or surgery plus chemotherapy had a higher chance of survival in stages I-II, and the survival rate declined smoothly during the 80 months. The change rate of the mortality rate increased rapidly during the period of 1–12 cm; afterwards, the mortality rate’s HR was basically and smoothly maintained at a high level. Conclusions. Tumor size was positively correlated with the mortality rate of HCC. Survival rates were greater in patients with tumors ≤ 2 cm who underwent surgery or surgery plus chemotherapy. Patients with HCC in the early stage had a higher survival probability particularly when they had experienced surgery or surgery plus chemotherapy.

Effectiveness of lenvatinib plus immune checkpoint inhibitors in primary advanced hepatocellular carcinoma beyond oligometastasis

BACKGROUND

Targeted therapy combined with immune checkpoint inhibitors is considered a promising treatment for primary advanced hepatocellular carcinoma (HCC). Nevertheless, the difference between synchronous and asynchronous treatment of lenvatinib with programmed death receptor-1 (PD-1) inhibitor in advanced HCC is still unclear. The aim of this investigation is to evaluate the effectiveness of synchronous and asynchronous of lenvatinib and PD-1 inhibitor on the advanced HCC beyond oligometastasis.

METHODS

In this study, 213 patients from four institutions in China were involved. Patients were split into two collections: (1) lenvatinib plus PD-1 inhibitor were used synchronously (synchronous treatment group); (2) patients in asynchronous treatment group received PD-1 inhibitor after 3 months of lenvatinib treatment prior to tumour progression. To analyse progression-free survival (PFS), overall survival (OS), efficacy and safety of patients in both groups, we employed propensity score matching (PSM).

RESULTS

The 6-, 12- and 24-month OS rates were 100%, 93.4% and 58.1% in the synchronous treatment group and 100%, 71.5% and 25.3% in the asynchronous treatment group, respectively. In contrast to the asynchronous treatment group, the group treated synchronously exhibited a substantially enhanced OS (hazard ratio [HR], 0.45; 95% confidence interval [CI], 0.30-0.66; p < .001). The 6-, 12- and 18-month PFS rates were 82.6%, 42.6% and 10.8% in the synchronous treatment group and 63.3%, 14.2% and 0% in the asynchronous treatment group, respectively. A significant difference was observed in the PFS rate (HR, 0.46; 95% CI, 0.33-0.63; p < .001) between the two collections.

CONCLUSIONS

Patients with advanced HCC beyond oligometastasis, simultaneous administration of lenvatinib and PD-1 inhibitor led to significant improvements in survival.

Prognostic impact of tumor size on isolated hepatocellular carcinoma without vascular invasion may have age variance

Background

Previous studies suggested that tumor size was an independent risk factor of prognosis for hepatocellular carcinoma (HCC). However, the general prognostic analysis did not consider the interaction between variables. The purpose of this study was to investigate whether the effect of tumor size on the prognosis of isolated HCC without vascular invasion varies according to covariates.

Methods

Patients were selected from the Surveillance, Epidemiology, and End Results (SEER) database to investigate whether there was an interaction between age and tumor size on the prognosis. Then the trend test and the value of per 1 SD of tumor size were calculated. In addition, the data of Zhejiang Provincial People's Hospital meeting the requirements were selected to verify the obtained conclusions.

Results

Multivariable Cox regression analysis of the database cohort showed that age, gender, tumor size, pathological grade and marital status were independent risk factors for prognosis. Interaction test showed that there was an interaction between age and tumor size (P for interaction < 0.05). Stratified analysis by age showed that tumor size was an independent risk factor for prognosis when age ≤65 years old (HR:1.010,95%CI1.007-1.013 P < 0.001), while tumor size was not an independent risk factor for prognosis when age >65 years old. This result was confirmed by trend analysis (P for trend < 0.001), and the prognostic risk increased by 42.1% for each standard deviation increase of tumor size among patients age ≤65 years. Consistent conclusion was obtained by multivariable cox regression analysis and interaction test on the verification cohort. In the validation cohort, for each standard deviation increase of tumor size in patients ≤65 years old, the risk of prognosis increased by 52.4%.

Conclusion

Tumor size is not an independent risk factor for the prognosis of isolated HCC without vascular invasion when patient's age >65 years. Therefore, when analyzing the relationship between tumor size and prognosis, stratified analysis should be performed according to age.

Prediction of early treatment response to the combination therapy of TACE plus lenvatinib and anti-PD-1 antibody immunotherapy for unresectable hepatocellular carcinoma: Multicenter retrospective study

Background and aim

The purpose of this study was to investigate and validate the efficacy of a nomogram model in predicting early objective response rate (ORR) in u-HCC patients receiving a combination of TACE, Lenvatinib, and anti-PD-1 antibody treatment after 3 months (triple therapy).

Method

This study included 169 u-HCC cases from five different hospitals. As training cohorts (n = 102), cases from two major centers were used, and external validation cohorts (n = 67) were drawn from the other three centers. The clinical data and contrast-enhanced MRI characteristics of patients were included in this retrospective study. For evaluating MRI treatment responses, the modified revaluation criteria in solid tumors (mRECIST) were used. Univariate and multivariate logistic regression analyses were used to select relevant variables and develop a nomogram model. Our as-constructed nomogram was highly consistent and clinically useful, as confirmed by the calibration curve and decision curve analysis (DCA); an independent external cohort also calibrated the nomogram.

Results

The ORR was 60.7% and the risk of early ORR was independently predicted by AFP, portal vein tumor thrombus (PVTT), tumor number, and size in both the training (C-index = 0.853) and test (C-index = 0.731) cohorts. The calibration curve revealed that the nomogram-predicted values were consistent with the actual response rates in both cohorts. Furthermore, DCA indicated that our developed nomogram performed well in clinical settings.

Conclusion

The nomogram model accurately predicts early ORR achieved by triple therapy in u-HCC patients, which aids in individual decision-making and modifying additional therapies for u-HCC cases.

Establishment of the diagnostic and prognostic nomograms for pancreatic cancer with bone metastasis

Bone metastasis (BM) is rare in patients with pancreatic cancer (PC), but often neglected at the initial diagnosis and treatment. Bone metastasis is associated with a worse prognosis. This study was aimed to perform a large data analysis to determine the predictors and prognostic factors of BM in PC patients and to develop two nomograms to quantify the risks of BM and the prognosis of PC patients with BM. In the present study, we reviewed and collected the data of patients who were diagnosed as PC from 2010 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression analyses were used together to screen and validate the risk factors for BM in PC patients. The independent prognostic factors for PC patients with BM were identified by Cox regression analysis. Finally, two nomograms were established via calibration curves, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA). This study included 16,474 PC patients from the SEER database, and 226 of them were diagnosed with BM. The risk factors of BM for PC patients covered age, grade, T stage, N stage, tumor size, and primary site. The independent prognostic factors for PC patients with BM included age, race, grade, surgery, and lung metastasis. The AUC of the diagnostic nomogram was 0.728 in the training set and 0.690 in the testing set. In the prognostic nomogram, the AUC values of 6/12/18 month were 0.781/0.833/0.849 in the training set and 0.738/0.781/0.772 in the testing set. The calibration curve and DCA furtherly indicated the satisfactory clinical consistency of the nomograms. These nomograms could be accurate and personalized tools to predict the incidence of BM in PC patients and the prognosis of PC patients with BM. The nomograms can help clinicians make more personalized and effective treatment choices.

Bioinformatic Analysis and In Vitro and In Vivo Experiments Reveal That Fibrillarin Participates in the Promotion of Lung Metastasis in Hepatocellular Carcinoma

Lung metastasis, the most frequent metastatic pattern in hepatocellular carcinoma, is an important contributor to poor prognosis. However, the mechanisms responsible for lung metastasis in hepatocellular carcinoma remain unknown. Aiming to explore these mechanisms, weighted gene coexpression network analysis (WGCNA) was firstly used to find hub genes related to lung metastasis. Then, we obtained 67 genes related to lung metastasis in hepatocellular carcinoma which were mainly related to ribosomal pathways and functions, and a protein interaction network analysis identified that fibrillarin (FBL) might be an important hub gene. Furthermore, we found that FBL is highly expressed in hepatocellular carcinoma and that its high expression increases the rate of lung metastasis and indicates a poor prognosis. Knockdown of FBL could significantly reduce proliferation and stemness as well as inhibiting the migration and invasion of hepatocellular carcinoma cells. Moreover, we found that FBL might be involved in the regulation of MYC and E2F pathways in hepatocellular carcinoma. Finally, we demonstrated that the knockdown of FBL could suppress hepatocellular carcinoma cell growth in vivo. In conclusion, ribosome-biogenesis-related proteins, especially Fibrillarin, play important roles in lung metastasis from hepatocellular carcinoma.

Risk factors and predictive nomograms for early death of patients with advanced hepatocellular carcinoma: a large retrospective study based on the SEER database

BACKGROUND

Hepatocellular carcinoma (HCC) is a kind of tumor with high invasiveness, and patients with advanced HCC have a higher risk of early death. The aim of the present study was to identify the risk factors of early death in patients with advanced HCC and establish predictive nomograms.

METHODS

Death that occurred within 3 months of initial diagnosis is defined as early death. Patients diagnosed with stage IV HCC between 2010 and 2015 were collected from the Surveillance, Epidemiology, and End Results database for model establishment and verification. Univariable and multivariable logistic regression analyses were used to identify the risk factors. Predictive nomograms were constructed and an internal validation was performed. Decision curve analysis (DCA) was used to verify the true clinical application value of the models.

RESULTS

Of 6603 patients (57% age > 60, 81% male, 70% white, 46% married), 21% and 79% had stage IVA and IVB, respectively. On the multivariable analyses, risk factors for early deaths in patients with stage IVA were age, tumor size, histological grade, alpha-fetoprotein (AFP), fibrosis score, tumor stage (T stage), surgery, radiotherapy, and chemotherapy, and that in stage IVB were age, histological grade, AFP, T stage, node stage (N stage), bone metastasis, lung metastasis, surgery, radiotherapy, and chemotherapy. The areas under the curves (AUCs) were 0.830 (95% CI 0.809-0.851) and 0.789 (95% CI 0.768-0.810) in stage IVA and IVB, respectively. Nomograms comprising risk factors with the concordance indexes (C-indexes) were 0.820 (95% CI 0.799-0.841) in stage IVA and 0.785 (95% CI 0.764-0.0.806) in stage IVB for internal validation (Bootstrapping, 1000re-samplings). The calibration plots of the nomograms show that the predicted early death was consistent with the actual value. The results of the DCA analysis show that the nomograms had a good clinical application.

CONCLUSION

The nomograms can be beneficial for clinicians in identifying the risk factors for early death of patients with advanced HCC and predicting the probability of early death, so as to allow for individualized treatment plans to be accurately selected.

Cardiac Metastasis After Curative Treatment of Hepatocellular Carcinoma: Assessment of Risk Factors, Treatment Options, and Prognosis

Hepatocellular carcinoma (HCC) is primary hepatic malignancy with a high incidence of recurrence. The risk of recurrence directly correlates to patient's overall prognosis. Management of advanced HCC involves a combination of surgical resection, locoregional therapy, and systemic treatment. Distant metastases are rare, and intraventricular cardiac metastases are even more infrequent. This brief review details an illustrative case of cardiac metastasis after curative treatment of primary HCC and then summarizes the literature on risk factors, treatment options, and patient prognosis in the setting of distant metastases from HCC. Prognosis of metastasis to the heart is generally poor, and available evidence emphasizes the importance of maintaining regular posttreatment screening for metastases in patients with HCC. Given the variable presentation and high risk of recurrence, it is critical to have individualized multimodality treatment plans.

Early-Stage Ruptured Hepatocellular Carcinoma With Different Tumor Diameters: Small Tumors Have a Better Prognosis

Background and Aim

Ruptured hepatocellular carcinoma (rHCC) is classified as T4 according to the TNM staging system with a very poor (does not achieve expected) prognosis, which has always been controversial. This study aimed at assessing the specific impact of different tumor diameters on the posttreatment prognosis of BCLC stage 0/A rHCC patients.

Methods

Data from 258 patients with BCLC stage 0/A HCC treated in our center from January 2008 to December 2017 were collected, including 143 rHCC patients and 115 patients with non-ruptured HCC (nrHCC). With the help of X-tile software, we determined the cutoff value of the tumor diameter in patients with rHCC. Using 8 cm as the cutoff, we divided rHCC patients into Small-rHCC (n = 96) and Large-rHCC (n = 47) groups, compared the prognoses of the S-rHCC and L-rHCC groups, as well as the prognoses of the two groups with the nrHCC group using the Kaplan–Meier method, and screened the prognostic factors of rHCC patients using the multivariate Cox risk model.

Results

The OS of the S-rHCC group was significantly higher than that of the L-rHCC group [HR = 2.41 (1.60–3.63)], and the OS of the nrHCC group was comparable to that of the S-rHCC group (P = 0.204). In patients treated with surgery only, OS and RFS were also comparable in the S-rHCC nrHCC group. Meanwhile, multivariate Cox regression analysis revealed that alpha-fetoprotein (AFP), alkaline phosphatase (ALP), and the main method of treatment were also prognostic factors for OS in patients with rHCC.

Conclusions

Ruptured HCC with a relatively small diameter (≤8 cm) can also achieve the same prognosis as nrHCC patients after aggressive treatment. It is also not recommended to include all patients with rHCC in stage T4.

The homogeneity and heterogeneity of occurrence, characteristics, and prognosis in hepatocellular carcinoma patients with synchronous and metachronous bone metastasis

Purpose: Based on the one of the largest hepatocellular carcinoma (HCC) population with bone metastasis (BM) from the single center in Tianjin, China, the present study aimed to investigate the risk and survival of synchronous bone metastasis (sBM) and metachronous bone metastasis (mBM) in HCC, and to reveal characteristics and related factors of HCC patients with bone metastasis.

Methods: HCC patients with bone metastasis between 2009 and 2017 from Tianjin Medical University Cancer Institute & Hospital, Tianjin, China, were involved. Chi-square test/ Fisher's exact test and Logistic regression were used to estimate the risk factors of bone metastasis in HCC. Kaplan-Meier method was used to estimate the survival of HCC patients, and the Log-rank test was used to analyze the survival of HCC patients. The prognostic factors of HCC patients with BM were identified via Kaplan-Meier method and multivariable COX regression model.

Results: Among 4421 HCC patients, 128 patients with BM were identified. Of the 128 patients with BM, 77 patients (60.16%) were with sBM and 51 patients (39.84%) were with mBM. The incidence of sBM in HCC was 1.74% at initial diagnosis. The most common metastatic site of sBM was rib, followed by lumbar, thoracic, and sacral. The median latency time from HCC diagnosis to mBM was six months. The most common site of mBM was thoracic, followed by lumbar, sacral and rib. Alcohol-drinking history (P=0.027), numbers (P=0.023) and size (P=0.008) of intrahepatic tumor, lymph node metastasis (P<0.001), serum ALP (P=0.004) and HGB (P=0.004) level were found to be correlated with the occurrence of BM. The overall survival between non-BM and BM were statistically different (P=0.028).

Conclusion: The incidence of sBM in HCC was 1.74% at initial diagnosis. The median latency time from HCC diagnosis to mBM was 6 months. The characteristics between occurrence and prognosis showed significant difference between sBM and mBM. Early identification of high-risk BM population was essential for the improvement of both quality of life and prognosis. The revealed related factors can potentially guide sBM and mBM identification and early diagnosis in HCC.

The Value of Contrast-Enhanced Ultrasound Liver Imaging Reporting and Data System in the Diagnosis of Hepatocellular Carcinoma:: A Meta-Analysis

OBJECTIVES

The aim of this study is to systematically evaluate the diagnostic ability of the contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) in hepatocellular carcinoma (HCC).

METHODS

We searched relevant studies from PubMed, Medline, and Embase database. After literature search, duplicate removal, and data extraction, we calculated and analyzed the pooled sensitivity, pooled specificity, pooled odds ratios of diagnostic, pooled likelihood ratio (LR) of positive and negative, and area under the curve (AUC), accuracy, and F1 score to evaluate the diagnostic value of CEUS LI-RADS for HCC.

RESULTS

Thirteen studies and 6491 patients were included in this analysis. The pooled sensitivity and pooled specificity were 0.72 (95% confidence interval [CI], 0.70-0.73) and 0.92 (95% CI, 0.91-0.93), respectively. The positive LR was 8.02 (95% CI, 4.93-13.06) and the negative LR was 0.31 (95% CI, 0.27-0.37). The pooled diagnostic odds ratio was 27.91 (95% CI, 15.39-50.63). The overall AUC was 0.8406 and the accuracy was 0.77.

CONCLUSIONS

CEUS LI-RADS is an effective and promising method to diagnose HCC.

Correlation and Survival Analysis of Distant Metastasis Site and Prognosis in Patients With Hepatocellular Carcinoma

Purpose

To investigate the prognostic factors and survival analysis of patients with hepatocellular carcinoma with distant metastasis.

Methods

The clinical data of 3,126 patients with distant metastasis of hepatocellular carcinoma from 2010 to 2015 were extracted from SEER database, and the correlation between the location of distant metastasis of hepatocellular carcinoma and prognosis was retrospectively analyzed. Patients were grouped according to different metastatic sites. The clinical characteristics of each group were compared by chi-square test, the survival curve was drawn by Kaplan-Meier method, Log-rank test was used for univariate analysis, and Cox regression for multivariate analysis. And use propensity score matching (PSM) to reduce differences in baseline characteristics.

Results

Before PSM, the prognosis of patients with hepatocellular carcinoma with lung metastasis is worse than that of patients without lung metastasis. And there was no statistically significant difference with or without bone metastases.Patients with one type of organ metastasis had better prognosis than those with multiple organ metastasis. Among patients with organ metastasis, bone metastasis has a better prognosis than patients with lung metastasis. After PSM, patients with HCC with bone metastases had a worse prognosis than those without bone metastases (P<0.05). Univariate analysis showed that the degree of tumor differentiation, T stage, N stage, primary tumor and metastatic surgery, radiotherapy and chemotherapy, tumor size, single organ metastasis, the number of metastatic organs, and the combination of metastatic organs were related to the prognosis of patients with distant metastasis of hepatocellular carcinoma (P < 0.05). Multiariate analysis showed that age ≥52 years old, male, low degree of tumor differentiation, N1 stage, no primary surgery, no chemoradiotherapy, tumor size > 6cm, and multi-organ metastasis were independent influencing factors for poor prognosis in patients with metastatic hepatocellular carcinoma.

Conclusion

The lung is the most common site of distant metastasis of hepatocellular carcinoma. Single organ metastasis has better prognosis than multiple organ metastasis. Age ≥52 years old, male, low degree of tumor differentiation, N1 stage, no primary surgery, no chemoradiotherapy, tumor size > 6cm, and multi-organ metastasis were independent influencing factors for poor overall survival and cancer-specific survival prognosis in patients with metastatic hepatocellular carcinoma.

Tumor Diameter for Hepatocellular Carcinoma: Why Should Size Matter?

PURPOSE

There are two main goals in hepatocellular carcinoma management, the first is long term survival and the second is the low recurrence rate after the treatment. Therefore, a lot of selection criteria defined for each treatment method and tumor size is one of the most important parameter in almost all of them.

METHODS

In this review, importance of diamater in hepatocellular carcinoma is reviewed.

RESULTS

Many reports showed a significant association between increase in maximum tumor diameter and microvascular invasion. Patients with larger tumors are more likely to have poorly differentiated tumors. Increased regional and distant metastasis of tumors were observed in the larger size hepatocellular carcinoma. Liver transplantation represents the best treatment option for patients with decompensated liver cirrhosis and hepatocellular carcinoma.

CONCLUSIONS

Combined with biological, inflammatory, radiological, pathological and genetic markers that predict the biological behavior of the tumor, today, tumor size is one of the best aggressiveness markers until new markers are found. So, tumor size is matter.