Synergistic Impact of Alpha-Fetoprotein and Tumor Burden on Long-Term Outcomes Following Curative-Intent Resection of Hepatocellular Carcinoma

Tumor burden score combined with AFP and PIVKA-II (TAP score) to predict the prognosis of hepatocellular carcinoma patients after radical liver resection

BACKGROUND

Our study aimed to combine the morphological behavior (tumor burden score, TBS) and the biological behavior (AFP and PIVKA-II) to predict the prognosis of HCC patients after radical liver resection.

METHODS

A total of 1766 HCC patients were divided into the training cohort (n = 1079) and the validation cohort (n = 687) with a ratio of 6:4. The Kaplan-Meier method was used to analyze the recurrence-free (RFS) and overall survival (OS). The multivariable Cox regression model was established based on the variables screened by the least absolute shrinkage and selection operator (LASSO) regression to identify variables independently associated with recurrence-free survival (RFS) and overall survival (OS). Constructing our prognostic score (TBS-LN(AFP + PIVKA-II) score, TAP score) based on regression coefficients and the predictive ability of the TAP score was compared with Barcelona Clinic Liver Cancer (BCLC) stage.

RESULTS

The TAP score had good performance in stratifying RFS (p < 0.001) and OS (p < 0.001) in the training cohort and the validation cohort. There still existed significant differences in the intergroup comparisons among three TAP score groups for RFS and OS in the training cohort and the validation cohort. In our LASSO-Cox regression model, the TAP score was independently associated with RFS and OS. The TAP score also outperformed the BCLC stage in predicting RFS (1, 2 and 3 years) and OS (1, 3 and 5 years).

CONCLUSIONS

The TAP score had good performance in predicting the prognosis of HCC patients after radical liver resection and was superior to the BCLC stage.

Development and validation of a new prognostic tool for hepatocellular carcinoma undergoing resection: The Weighted Alpha-Fetoprotein Tumor Burden Score (WATS)

PURPOSE

This study aimed to develop and validate a novel prognostic index, the Weighted Alpha-Fetoprotein Tumor Burden Score (WATS), for predicting outcomes in hepatocellular carcinoma (HCC) patients undergoing resection.

MATERIALS AND METHODS

A total of 772 resected HCC patients were included. WATS was developed and validated using an 8:2 cohort split. The score was derived from multivariate Cox regression, resulting in the formula: WATS = 0.73 × tumor number +0.17 × tumor size +0.1 × ln AFP. The time-dependent ROC curve assessed the score's predictive ability, while restricted cubic splines evaluated the dose-response relationship between WATS and prognostic outcomes. Kaplan-Meier curves and multivariate Cox regression further validated the prognostic accuracy.

RESULTS

In the training cohort, AUCs for progression-free survival (PFS) at 1, 2, 3, 4, and 5 years were 0.683, 0.664, 0.661, 0.633, and 0.620, respectively; for overall survival (OS), they were 0.757, 0.732, 0.703, 0.672, and 0.670, respectively. In the validation cohort, AUCs for PFS were 0.711, 0.654, 0.671, 0.662, and 0.684, respectively; for OS, they were 0.724, 0.688, 0.642, 0.698, and 0.721, respectively. WATS outperformed other complex indicators and staging systems. RCS analysis showed a linear relationship between WATS and outcomes. The nomogram based on WATS demonstrated excellent discrimination, calibration, and clinical benefit.

CONCLUSION

WATS is a novel, reliable prognostic tool for HCC post-resection, offering enhanced patient stratification and risk assessment, thereby improving clinical management.

A preoperative model to predict overall survival in patients with hepatoma undergoing resection

BACKGROUND

We aimed to develop a preoperative model to predict overall survival (OS) in patients with hepatoma undergoing liver resection (LR).

METHODS

Patients who underwent LR for Barcelona Clinic Liver Cancer (BCLC) stage 0, A, or B hepatoma were enrolled. Tumor burden score (TBS) scores were determined using the following equation: TBS (Pinna et al., 2018) 2 = (largest tumor size [in cm])(Pinna et al., 2018) 2 ​+ ​(tumor number) (Pinna et al., 2018) 22. The cutoff values for radiographic TBS were based on our recently published paper: low, <2.6; medium, 2.6-7.9; high, >7.9.

RESULTS

Multivariate analysis showed that radiographic TBS (low: referent; medium: HR ​= ​2.89; 95 ​% CI: 1.60-5.21; p ​< ​0.001; high, HR ​= ​7.60; 95 ​% CI: 3.80-15.2; p ​< ​0.001), AFP (<400 ​ng/mL: referent; ≧400 ​ng/mL: HR ​= ​1.67, 95 ​% CI: 1.11-2.52, p ​= ​0.014), and cirrhosis (absence: referent; presence: HR ​= ​1.88, 95 ​% CI: 1.30-2.72, p ​< ​0.001) were associated with OS. A simplified risk score was superior to BCLC system in concordance index (0.688 vs. 0.623).

CONCLUSIONS

We have developed a preoperative model that performs better in predicting OS than the BCLC system.

The impact of tumor burden score on prognosis in patients after radical resection of hepatocellular carcinoma: a single-center retrospective study

Purpose

This study examines the relationship between tumor burden score (TBS) and survival and recurrence following radical resection of hepatocellular carcinoma through a cohort study conducted in the Guangxi population of China.

Methods

This cohort study eventually recruited 576 HCC patients undergoing radical resection of HCC in the People's Hospital of Guangxi Zhuang Autonomous Region during 2013-2022. After determining the best threshold TBS, all cases were grouped to evaluate the relationship between TBS versus overall survival (OS) and cumulative recurrence. Using X-Tile software, the best threshold TBS to judge patient prognostic outcome following radical resection of HCC was 10.77.

Results

Kaplan-Meier curve analysis revealed that patients with high TBS showed considerably decreased OS relative to the control group, accompanied by an increased recurrence rate. According to multivariate Cox proportional regression, the patients with high TBS were associated with poorer OS (HR = 2.56, 95% CI 1.64-3.99, P < 0.001) and recurrence-free survival (RFS) (HR = 1.55, 95% CI 1.02-2.35, P < 0.001).

Conclusion

In patients undergoing radical resection for HCC, higher TBS was significantly related to shorter OS and RFS.

Prognostic Indicators of Overall Survival in Hepatocellular Carcinoma Patients Undergoing Liver Resection

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer and the third contributor to malignancy-related deaths worldwide. The hepatic venous pressure gradient (HVPG), transient elastography-liver stiffness measurement (TE-LSM), and the association between TBS (tumor burden score), alpha-fetoprotein levels, and the Child-Pugh classification (TAC score) can serve as valuable prognostic indicators for these patients. Therefore, the main objective of our research was to analyze the prognostic value of the HVPG, TE-LSM, TBS, and TAC scores. An observational and survival study was conducted on 144 subjects. Our findings indicated that HVPG greater than 10 mmHg, AFP surpassing 400 ng/mL, an advanced C-P class, and low TAC score are independent predictors of overall survival. During the multivariate analysis, AFP serum levels and C-P class proved statistically significant. The present study revealed significant differences in overall survival between the two groups divided upon HVPG values and settled by the cutoff of 10 mmHg (p = 0.02). Moreover, by dividing the cohort into three groups based on the TAC score (very low, low, and moderate), statistically significant differences in overall survival were observed across the groups (p = 0.004).

Construction and Validation of a Novel Nomogram Predicting Recurrence in Alpha-Fetoprotein-Negative Hepatocellular Carcinoma Post-Surgery Using an Innovative Liver Function-Nutrition-Inflammation-Immune (LFNII) Score: A Bicentric Investigation

Purpose

We developed a nomogram based on the liver function, nutrition, inflammation, and immunity (LFNII) score to predict recurrence-free survival (RFS) post-resection in patients with hepatocellular carcinoma (HCC) exhibiting alpha-fetoprotein (AFP) negativity (AFP ≤20 ng/mL).

Patients and Methods

Clinical data of 661 patients diagnosed with alpha-fetoprotein-negative hepatocellular carcinoma (AFP-NHCC) who underwent surgical resection at two medical centers between 2012 and 2021 were collected. A total of 462 and 199 patients served as the training and validation sets, respectively. Pre-operative blood markers were collected and analyzed for LFNII. The LFNII score was formulated using the least absolute shrinkage and selection operator Cox regression model. A nomogram model was developed using the training set to incorporate other relevant clinicopathological indicators and predict postoperative recurrence. Model discrimination was assessed using the receiver operating characteristic curve, calibration was evaluated using a calibration curve, and clinical applicability was assessed using clinical decision curve analysis. A comparison with liver cancer staging was performed using the nomogram model. Finally, a cohort study was conducted to validate our findings.

Results

We derived the LFNII scores from nine indicators. Elevated LFNII scores correlated with unfavorable clinicopathological features. The LFNII score area under the curve revealed superior predictive efficacy at 1-, 2-, and 5-year RFS intervals, with values of 0.675, 0.658, and 0.633, respectively. Multivariate Cox analysis revealed that a high LFNII score independently increased RFS risk in patients with AFP-NHCC. The C-index of the LFNII-nomogram model was 0.686 (95% confidence interval [CI], 0.651-0.721). The nomogram model's clinical application value surpassed that of standard HCC staging systems.

Conclusion

The LFNII score-derived nomogram effectively predicted the RFS of patients with AFP-NHCC after curative resection.

PIVKA-II combined with tumor burden score to predict long-term outcomes of AFP-negative hepatocellular carcinoma patients after liver resection

BACKGROUND

This study aimed to establish a simple prognostic scoring model based on tumor burden score (TBS) and PIVKA-II to predict long-term outcomes of α-fetoprotein (AFP)-negative hepatocellular carcinoma (HCC) patients.

METHODS

511 patients were divided into the training cohort (n = 305) and the validation cohort (n = 206) at a ratio of 6:4. Receiver operating characteristic curves (ROC) were established to identify cutoff values of TBS and PIVKA-II. Kaplan-Meier curves were used to analyze survival outcomes. The multivariable Cox regression was used to identify variables independently associated with survival outcomes. The predictive performance of the TBS-PIVKA II score (TPS) model was compared with Barcelona clinic liver cancer (BCLC) stage and American Joint Committee on Cancer (AJCC TNM) stage.

RESULTS

The present study established the TPS model using a simple scoring system (0, 1 for low/high TBS [cutoff value: 4.1]; 0, 1 for low/high PIVKA-II [cutoff value: 239 mAU/mL]). The TPS scoring model was divided into three levels according to the summation of TBS score and PIVKA-II score: TPS 0, TPS 1, and TPS 2. The TPS scoring model was able to stratify OS (training: p < 0.001, validation: p < 0.001) and early recurrence (training: p < 0.001; validation: p = 0.001) in the training cohort and the validation cohort. The TPS score was independently associated with OS (TPS 1 vs. 0, HR: 2.28, 95% CI: 1.01-5.17; TPS 2 vs. 0, HR: 4.21, 95% CI: 2.01-8.84) and early recurrence (TPS 1 vs. 0, HR: 3.50, 95% CI: 1.71-7.16; TPS 2 vs. 0, HR: 3.79, 95% CI: 1.86-7.75) in the training cohort. The TPS scoring model outperformed BCLC stage and AJCC TNM stage in predicting OS and early recurrence in the training cohort and the validation cohort. But the TPS scoring model was unable to stratify the late recurrence in the training cohort (p = 0.872) and the validation cohort (p = 0.458).

CONCLUSIONS

The TPS model outperformed the BCLC stage and AJCC TNM stage in predicting OS and early recurrence of AFP-negative HCC patients after liver resection, which might better assist surgeons in screening AFP-negative HCC patients who may benefit from liver resection.

Nomogram for Predicting Postoperative Pulmonary Metastasis in Hepatocellular Carcinoma Based on Inflammatory Markers

BACKGROUND

Uncertainty surrounds the usefulness of inflammatory markers in hepatocellular carcinoma (HCC) patients for predicting postoperative pulmonary metastasis (PM). The purpose of this study was to assess the predictive value of inflammatory markers as well as to create a new nomogram model for predicting PM.

METHODS

Cox regression was utilized to identify independent prognostic variables and to create a nomogram that predicted PM for comparison with a validation cohort and other prediction systems. We retrospectively analyzed a total of 1109 cases with HCC were included.

RESULTS

The systemic inflammatory response index (SIRI) and aspartate aminotransferase-to-platelet ratio index (APRI) were independent risk factors for PM, with a concordance index of .78 (95% CI: .74-.81) for the nomogram. The areas under the curve of the nomograms for PM predicted at 1-, 3-, and 5-year were .82 (95% CI: .77-.87), .82 (95% CI: .78-.87) and .81 (95% CI: .75-.86), respectively, which were better than those of Barcelona Clinic Liver Cancer and China liver cancer stage. Decision curve analyses demonstrated a broader range of nomogram threshold probabilities.

CONCLUSION

A nomogram based on SIRI and APRI can accurately predict postoperative PM in HCC.

Prognostic implications of alpha-fetoprotein and C-reactive protein elevation in hepatocellular carcinoma following resection (PACE): a large cohort study of 2770 patients

BACKGROUND

Routine clinical staging for hepatocellular carcinoma (HCC) incorporates liver function, general health, and tumor morphology. Further refinement of prognostic assessments and treatment decisions may benefit from the inclusion of tumor biological marker alpha-fetoprotein (AFP) and systemic inflammation indicator C-reactive protein (CRP).

METHODS

Data from a multicenter cohort of 2770 HCC patients undergoing hepatectomy were analyzed. We developed the PACE risk score (Prognostic implications of AFP and CRP Elevation) after initially assessing preoperative AFP and CRP's prognostic value. Subgroup analyzes were performed in BCLC cohorts A and B using multivariable Cox analysis to evaluate the prognostic stratification ability of the PACE risk score and its complementary utility for BCLC staging.

RESULTS

Preoperative AFP ≥ 400ng/mL and CRP ≥ 10 mg/L emerged as independent predictors of poorer prognosis in HCC patients who underwent hepatectomy, leading to the creation of the PACE risk score. PACE risk score stratified patients into low, intermediate, and high-risk groups with cumulative 5-year overall (OS) and recurrence-free survival (RFS) rates of 59.6%/44.9%, 43.9%/38.4%, and 20.6%/18.0% respectively (all P < 0.001). Increased PACE risk scores correlated significantly with early recurrence and extrahepatic metastases frequency (all P < 0.001). The multivariable analysis identified intermediate and high-risk PACE scores as independently correlating with poor postoperative OS and RFS. Furthermore, the PACE risk score proficiently stratified the prognosis of BCLC stages A and B patients, with multivariable analyses demonstrating it as an independent prognostic determinant for both stages.

CONCLUSION

The PACE risk score serves as an effective tool for postoperative risk stratification, potentially supplementing the BCLC staging system.

Machine-Based Learning Hierarchical Cluster Analysis: Sex-Based Differences in Prognosis Following Resection of Hepatocellular Carcinoma

BACKGROUND

Patients with hepatocellular carcinoma (HCC) may have a heterogeneous presentation, as well as different long-term outcomes following surgical resection. We sought to use machine learning to cluster patients into different prognostic groups based on preoperative characteristics.

METHODS

Patients who underwent curative-intent liver resection for HCC between 2000 and 2020 were identified from a large international multi-institutional database. A hierarchical cluster analysis was performed based on preoperative factors to characterize patterns of presentation and define disease-free survival (DFS).

RESULTS

Among 966 with HCC, 3 distinct clusters were identified: Cluster 1 (n = 160, 16.5%), Cluster 2 (n = 537, 55.6%) and Cluster 3 (n = 269, 27.8%). Cluster 1 (n = 160, 16.5%) consisted of female patients (n = 160, 100%), low inflammation-based scores, intermediate tumor burden score (TBS) (median: 4.71) and high alpha-fetoprotein (AFP) levels (median 41.3 ng/mL); Cluster 2 consisted of male individuals (n = 537, 100%), mainly with a history of HBV infection (n = 429, 79.9%), low inflammation-based scores, intermediate AFP levels (median 26.0 ng/mL) and lower TBS (median 4.49); Cluster 3 was comprised of older patients (median age 68 years) predominantly male (n = 248, 92.2%) who had low incidence of HBV/HCV infection (7.1% and 8.2%, respectively), intermediate AFP levels (median 16.8 ng/mL), high inflammation-based scores and high TBS (median 6.58). Median DFS worsened incrementally among the three different clusters with Cluster 3 having the lowest DFS (Cluster 1: median not reached; Cluster 2: 34 months, 95% CI 23.0-48.0, Cluster 3: 19 months, 95% CI 15.0-29.0, p < 0.05).

CONCLUSION

Cluster analysis classified HCC patients into three distinct prognostic groups. Cluster assignment predicted DFS following resection of HCC with the female cluster having the most favorable prognosis following HCC resection.

Using the hazard function to evaluate hepatocellular carcinoma recurrence risk after curative resection

Predicting recurrence patterns of hepatocellular carcinoma (HCC) can be helpful in developing surveillance strategies. This study aimed to use the hazard function to investigate recurrence hazard and peak recurrence time transitions in patients with HCC undergoing liver resection (LR). We enrolled 1204 patients with HCC undergoing LR between 2007 and 2018 at our institution. Recurrence hazard, patterns, and peak rates were analyzed. The overall recurrence hazard peaked at 7.2 months (peak hazard rate [pHR]: 0.0197), but varied markedly. In subgroups analysis based on recurrence risk factors, patients with a high radiographic tumor burden score (pHR: 0.0521), alpha-fetoprotein level ≥ 400 ng/ml (pHR: 0.0427), and pT3-4 (pHR: 0.0656) showed a pronounced peak within the first year after LR. Patients with cirrhosis showed a pronounced peak within three years after LR (pHR: 0.0248), whereas those with Barcelona Clinic Liver Cancer stage B (pHR: 0.0609) and poor tumor differentiation (pHR: 0.0451) showed multiple peaks during the 5-year follow-up period. In contrast, patients without these recurrence risk factors had a relatively flat hazard function curve. HCC recurrence hazard, patterns, and peak rates varied substantially depending on different risk factors of HCC recurrence.

EpCAM-positive circulating tumor cells and serum AFP levels predict outcome after curative resection of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) has high recurrence rates exceeding 50% despite curative resection. The serum biomarker alpha-fetoprotein (AFP) is a well-known prognostic marker for HCC. EpCAM-positive circulating tumor cells (CTC) have a high predictive value for early HCC recurrence after curatively intended resection, most likely indicating micro-metastases at the time of resection. However, sensitivity remains low. The objective of this study was to evaluate a composite test comprising both CTC and AFP to identify patients at high risk for early HCC recurrence. We prospectively enrolled 58 patients undergoing curative intended resection for HCC at a tertiary referral center. Blood specimens were obtained prior to resection and analyzed for EpCAM-positive CTC and serum AFP levels. A positive result was defined as either detection of CTC or AFP levels ≥ 400 ng/ml. Eight patients tested positive for CTC, seven for AFP, and two for both markers. A positive composite test was significantly associated with shorter early recurrence-free survival (5 vs. 16 months, p = 0.005), time to recurrence (5 vs. 16 months, p = 0.011), and overall survival (37 vs. not reached, p = 0.034). Combining CTC and AFP identified patients with poor outcome after surgical resection, for whom adjuvant or neoadjuvant therapies may be particularly desirable.

Impact of Surgical Margin Width on Prognosis Following Resection of Hepatocellular Carcinoma Varies on the Basis of Preoperative Alpha-Feto Protein and Tumor Burden Score

BACKGROUND

We sought to examine the prognostic impact of margin width at time of hepatocellular carcinoma (HCC) resection relative to the alpha-feto protein tumor burden score (ATS).

PATIENTS AND METHODS

Patients who underwent curative-intent hepatectomy for HCC between 2000 and 2020 were identified from a multi-institutional database. The impact of margin width on overall survival and recurrence-free survival was examined relative to ATS using univariable and multivariable analyses.

RESULTS

Among 782 patients with HCC who underwent resection, median ATS was 6.5 [interquartile range (IQR) 4.3-10.2]. Most patients underwent R0 resection (n = 613, 78.4%); among patients who had an R0 resection, 325 (41.6%) had a margin width > 5 mm while 288 (36.8%) had a 0-5 mm margin width. Among patients with high ATS, an increasing margin width was associated with incrementally better overall and recurrence-free survival. In contrast, among patients with low ATS, margin width was not associated with long-term outcomes. On multivariable Cox regression analysis, each unit increase in ATS was independently associated with a 7% higher risk of death [hazard ratio (HR) 1.07; 95% confidence interval (CI) 1.03-1.11, p < 0.001]. While the incidence of early recurrence was not associated with margin width among patients with low ATS, wider margin width was associated with an incrementally lower incidence of early recurrence among patients with high ATS.

CONCLUSION

ATS, an easy-to-use composite tumor-related metric, was able to risk stratify patients following resection of HCC relative to overall survival and recurrence-free survival. The therapeutic impact of resection margin width had a variable impact on long-term outcomes relative to ATS.

A novel prognostic model based on AFP, tumor burden score and Albumin-Bilirubin grade for patients with hepatocellular carcinoma undergoing radiofrequency ablation

PURPOSE

The aim of this study was to develop prognostic scores, including the tumor burden score (TBS) and albumin-bilirubin (ALBI) grade, for evaluating the outcomes of hepatocellular carcinoma (HCC) patients after radiofrequency ablation (RFA).

MATERIALS AND METHODS

This retrospective study enrolled treatment-naïve HCC patients with BCLC 0-A who underwent RFA between January 2009 and December 2019. Regular follow-up was conducted after RFA to determine progression-free survival (PFS) and overall survival (OS). The patients were randomly allocated to the training or validation datasets in a 1:1 ratio. Preoperative prognostic scores were developed based on the results of multivariate analysis. The discriminatory ability of the scores was assessed using time-dependent AUC and compared with other models.

RESULTS

Serum alpha-fetoprotein (AFP) level and TBS were identified as independent prognostic factors for PFS, while serum AFP, TBS, and ALBI were identified as independent prognostic factors for OS in HCC patients after RFA. The time-dependent AUCs of the AFP-TBS score for the 1-, 3-, and 5-year PFS were 0.651, 0.667, and 0.620, respectively, in the training set, and 0.657, 0.687, and 0.704, respectively, in the validation set. For the 1-, 3-, and 5-year OS, the time-dependent AUCs were 0.680, 0.712, and 0.666, respectively, in the training set, and 0.712, 0.706 and 0.726 in the validation set for the AFP-TBS-ALBI score (ATA). The C-indices and AIC demonstrated that the scores provided better clinical benefits compared to other models.

CONCLUSION

The ATA/AT score, derived from clinical and objective laboratory variables, can assist in individually predicting the prognosis of HCC patients undergoing curative RFA.

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Tumor recurrence affects up to 70% of early-stage hepatocellular carcinoma (HCC) patients, depending on treatment option. Deep learning algorithms allow in-depth exploration of imaging data to discover imaging features that may be predictive of recurrence. This study explored the use of convolutional neural networks (CNN) to predict HCC recurrence in patients with early-stage HCC from pre-treatment magnetic resonance (MR) images. This retrospective study included 120 patients with early-stage HCC. Pre-treatment MR images were fed into a machine learning pipeline (VGG16 and XGBoost) to predict recurrence within six different time frames (range 1-6 years). Model performance was evaluated with the area under the receiver operating characteristic curves (AUC-ROC). After prediction, the model's clinical relevance was evaluated using Kaplan-Meier analysis with recurrence-free survival (RFS) as the endpoint. Of 120 patients, 44 had disease recurrence after therapy. Six different models performed with AUC values between 0.71 to 0.85. In Kaplan-Meier analysis, five of six models obtained statistical significance when predicting RFS (log-rank p < 0.05). Our proof-of-concept study indicates that deep learning algorithms can be utilized to predict early-stage HCC recurrence. Successful identification of high-risk recurrence candidates may help optimize follow-up imaging and improve long-term outcomes post-treatment.

Development and Validation of an α-Fetoprotein Tumor Burden Score Model to Predict Postrecurrence Survival among Patients with Hepatocellular Carcinoma

BACKGROUND

The purpose of this study is to establish a prognostic model to predict postrecurrence survival (PRS) probability after initial resection of hepatocellular carcinoma (HCC).

STUDY DESIGN

Patients with recurrent HCC after curative resection were identified through a multicenter consortium (training cohort, TC); data were from a separate institution were used as validation cohort (VC). The α-fetoprotein (AFP) tumor burden score (ATS) was defined as the distance from the origin on a 3-dimensional Cartesian coordinate system that incorporated 3 variables: largest tumor diameter ( x axis), number of tumors ( y axis), and ln AFP ( z axis). ATS was calculated using the Pythagorean theorem: ATS 2 = (largest tumor diameter) 2 + (number of tumors) 2 + (ln AFP) 2 , where ATS d and ATS r represent ATS at the time of initial diagnosis and at the time of recurrence, respectively. The final model was ATS m = ATS d + 4 × ATS r . Predictive performance and discrimination of the ATS model were evaluated and compared with traditional staging systems.

RESULTS

The ATS model demonstrated strong predictive performance of PRS in both the TC (area under the curve [AUC] 0.70) and VC (AUC 0.71). An ATS-based nomogram was able to stratify patients accurately into low- and high-risk categories relative to PRS (TC: ATS m ≤ 27, 74.9 months vs. ATS m ≥ 28, 23.3 months; VC: ATS m ≤ 27, 59.4 months vs. ATS m ≥ 28, 15.1 months; both p < 0.001). The ATS model predicted PRS among patients undergoing curative or noncurative treatment of HCC recurrence (both p < 0.05). Of note, the ATS model outperformed the Barcelona Clinic Liver Cancer (BCLC), China Liver Cancer (CNLC), and American Joint Committee on Cancer (AJCC) staging systems relative to 1-, 2-, 3-, 4- and 5-year PRS (AUC 0.70, vs. BCLC, AUC 0.50, vs. CNLC, AUC 0.54, vs. AJCC, AUC 0.51).

CONCLUSIONS

The ATS model had excellent prognostic discriminatory power to stratify patients relative to PRS.

Radiographic tumor burden score is useful for stratifying the overall survival of hepatocellular carcinoma patients undergoing resection at different Barcelona Clinic Liver Cancer stages

PURPOSE

The Barcelona Clinic Liver Cancer (BCLC) staging system has been recommended for prognostic prediction. However, prognosis is variable at different BCLC stages. We aimed to evaluate whether the radiographic tumor burden score (TBS) could be used to stratify prognosis in different BCLC stages.

METHODS

Hepatocellular carcinoma (HCC) patients undergoing liver resection (LR) at BCLC-0, -A, or -B stage in our institution in 2007-2018 were divided into derivation and validation cohorts. Overall survival (OS) was analyzed according to the TBS and BCLC stage. TBS cutoff values for OS were determined with X-tile.

RESULTS

Of the 749 patients in the derivation cohort, 138 (18.4%) had BCLC-0, 542 (72.3%) BCLC-A, and 69 (9.2%) BCLC-B HCC; 76 (10.1%) had a high TBS (> 7.9), 477 (63.7%) a medium TBS (2.6-7.9), and 196 (26.2%) a low TBS (< 2.6). OS worsened progressively with increasing TBS in the cohort (p < 0.001) and in BCLC-A (p = 0.04) and BCLC-B (p = 0.002) stages. Multivariate analysis showed that the TBS was associated with OS of patients with BCLC-A (medium vs. low TBS: hazard ratio [HR] = 2.390, 95% CI = 1.024-5.581, p = 0.04; high vs. low TBS: HR = 3.885, 95% CI = 1.443-10.456, p = 0.007) and BCLC-B (high vs. medium TBS: HR = 2.542, 95% CI = 1.077-6.002, p = 0.033) HCC. The TBS could also be used to stratify the OS of patients in the validation cohort (p < 0.001).

CONCLUSION

The TBS could be used to stratify the OS of the entire cohort and BCLC stages A and B of HCC patients undergoing LR.

Combined Tumor Burden Score and Carbohydrate Antigen 19-9 Grading System to Predict Outcomes Among Patients with Intrahepatic Cholangiocarcinoma

BACKGROUND

The interplay of carbohydrate antigen 19-9 (CA19-9) and tumor burden score (TBS) within intrahepatic cholangiocarcinoma remains ill-defined. We evaluated the roles of TBS and CA19-9 relative to overall survival (OS) and recurrence, as well as the predictive ability of the combined TBS and CA19-9 (CTC) grading system.

STUDY DESIGN

Patients undergoing liver resection for intrahepatic cholangiocarcinoma between 2000 and 2020 were identified using a multi-institutional database. The impact of CA19-9 and TBS on 5-year OS and 3-year recurrence was assessed, along with the prognostic accuracy of the CTC grading system (ie the composite score of CA19-9 level and TBS).

RESULTS

Among 831 patients, the median age was 58.2 years and 482 (58.0%) were male. The median [IQR] CA19-9 level was 49.7 [17.0, 221.0] U/mL and TBS was 6.1 [4.1, 8.3]. Median [IQR] and 5-year OS were 36.9 [32.3, 43.1] months and 38.9%, respectively; 3-year recurrence was 68.9%. Five-year survival varied relative to CA19-9 (low vs high, 49.0% vs 19.7%) and TBS (low vs high, 53.6% vs 26.9%) (p < 0.001 for both). On multivariable analysis, high CA19-9 (hazard ratio [HR] 2.02, 95% CI 1.64 to 2.49) and high TBS (HR 1.64, 95% CI 1.32 to 2.06) remained independently associated with OS. In turn, the CTC grading score stratified 5-year OS (low vs intermediate vs high CTC, 57.7% vs 39.9% vs 12.6%; p < 0.001) and remained an independent prognostic factor (referent, low CTC; [intermediate CTC] HR 1.54, 95% CI 1.18 to 2.01; [high CTC] HR 3.28, 95% CI 2.47 to 4.36).

CONCLUSIONS

The interplay between tumor morphology and biology dictates long-term prognosis after liver resection for intrahepatic cholangiocarcinoma. Prognostic models such as the CTC grading system may inform discussions around prognosis, as well as help identify which patients with ICC may benefit more from neoadjuvant chemotherapy rather than up-front surgery.

TAC score better predicts survival than the BCLC following resection of hepatocellular carcinoma

BACKGROUND

Heterogeneity in hepatocellular carcinoma (HCC) still exists within the Barcelona clinic liver cancer (BCLC) subcategories. We developed a simple model to better discriminate and predict prognosis following resection.

METHODS

Patients who underwent curative-intent resection for HCC were identified from a multi-institutional database. Predictive factors of survival were identified to develop TAC (tumor burden score [TBS], alpha-fetoprotein [AFP], Child-Pugh CP]) score.

RESULTS

Among 1435 patients, median TBS was 5.1 (interquartile range [IQR]: 3.2-8.1), median AFP was 18.3 ng/ml (IQR 4.0-362.5), and 1391 (96.9%) patients were classified as CP-A. Factors associated with overall survival (OS) included TBS (low: referent; medium: HR 2.26, 95% CI: 1.73-2.96; high: HR = 3.35, 95% CI: 2.22-5.07), AFP (<400 ng/ml: referent; >400 ng/ml: HR = 1.56, 95% CI: 1.27-1.92), and CP (A: referent; B: HR = 1.81, 95% CI: 1.12-2.92) (all p < 0.05). A simplified risk score demonstrated superior concordance index, Akaike information criteria, homogeneity, and area under the curve versus BCLC (0.620 vs. 0.541; 5484.655 vs. 5536.454; 60.099 vs. 16.194; 0.62 vs. 0.55, respectively), and further stratified patients within BCLC groups relative to OS (BCLC 0, very low: 86.8%, low: 47.8%) (BCLC A, very low: 79.7%, low: 68.1%, medium: 52.5%, high: 35.6%) (BCLC B, low: 59.8%, medium: 43.7%, high: N/A).

CONCLUSION

TAC is a simple, holistic score that consistently outperformed BCLC relative to discrimination power and prognostication following resection of HCC.

TBS-Based Preoperative Score to Predict Non-transplantable Recurrence and Identify Candidates for Upfront Resection Versus Transplantation for Hepatocellular Carcinoma

BACKGROUND

Recurrence following liver resection (LR) for hepatocellular carcinoma (HCC) can be as high as 50-70%. While salvage liver transplantation may be feasible, patients may develop a non-transplantable recurrence (NTR) (recurrence beyond Milan criteria). We sought to identify preoperative risk factors to predict NTR after resection.

PATIENTS AND METHODS

Patients who underwent curative-intent LR for HCC were identified from a multi-institutional database. Preoperative factors associated with NTR were identified and a risk score model (NTR score) was developed and validated.

RESULTS

Among 1620 patients, 842 (52.0%) developed recurrence; among patients with recurrence, NTR occurred in 341 (40.5%) with a median recurrence-free survival (RFS) of 30 months (24.7-35.3 months). On multivariable analysis, factors associated with NTR included alpha fetoprotein (AFP) > 400 ng/mL [hazard ratio (HR) 1.71, 95% confidence interval (CI) 1.33-2.19], albumin-bilirubin grade (ALBI) (referent low, medium ALBI: HR 1.41, 95% CI 1.10-1.81, high ALBI: HR 2.47, 95% CI 0.91-6.68), and tumor burden score (TBS) (referent low, high TBS: HR 2.55, 95% CI, 1.99-3.28). A simplified TBS-based NTR score was developed using the β-coefficients of each factor (C-index 0.68, 95% CI 0.65-0.71). Higher NTR score was associated with incrementally worse 5-year RFS (low 44.8%, medium 37.5%, high 24.5%) [area under the curve (AUC) 0.59] and increased incidence of NTR (low 13.7%, medium 25.4%, high 38.2%) (AUC 0.65) (both p < 0.001). Moreover, higher NTR score was associated with higher risk of extrahepatic recurrence (low 11.3%, medium 28.8%, high 37.5%) (p < 0.001).

CONCLUSION

NTR following curative-intent resection of HCC occurred in one in five patients. A simple TBS-based NTR score accurately predicted the risk of NTR and may help identify candidates for upfront resection versus transplantation.

AIEgens-Doped Photonic Crystals for High Sensitivity Fluorescence Detection of Tumor Markers

Detection of tumor markers is of great significance to preliminarily judge whether patients have malignant tumors. Fluorescence detection (FD) is an effective means to achieve sensitive detection of tumor markers. Currently, the increased sensitivity of FD has attracted research interest worldwide. Here, we have proposed a method of doping luminogens with aggregation-induced emission (AIEgens) into photonic crystals (PCs), which can significantly enhance the fluorescence intensity to achieve high sensitivity in the detection of tumor markers. PCs are made by scraping and self-assembling, which has the special effect of fluorescence enhancement. The combination of AIEgens and PCs can enhance the fluorescence intensity 4-7 times. These characteristics make it extremely sensitive. The limit of detection (LOD) for the detection of alpha-fetoprotein (AFP) in the AIE10 (Tetraphenyl ethylene-Br) doped PCs with a reflection peak of 520 nm is 0.0377 ng/mL. LOD for the detection of carcinoembryonic antigen (CEA) in the AIE25 (Tetraphenyl ethylene-NH₂) doped PCs with a reflection peak of 590 nm is 0.0337 ng/mL. Our concept offers a good solution for highly sensitive detection of tumor markers.

Alpha-Fetoprotein Combined with Radiographic Tumor Burden Score to Predict Overall Survival after Liver Resection in Hepatocellular Carcinoma

We evaluated whether combining the radiographic tumor burden score (TBS) and alpha-fetoprotein (AFP) level could be used to stratify overall survival (OS) among hepatocellular carcinoma (HCC) patients after liver resection (LR). Patients who underwent LR for Barcelona Clinic Liver Cancer stage 0, A, or B HCC between 2011 and 2018 were enrolled. TBS scores were calculated using the following equation: TBS2 = (largest tumor size (in cm))2 + (tumor number)2. Among 743 patients, 193 (26.0%) patients had a low TBS (<2.6), 474 (63.8%) had a moderate TBS (2.6-7.9), and 75 (10.1%) had a high TBS (>7.9). Those with a TBS ≤ 7.9 and AFP < 400 ng/mL had a significantly better OS than those with a TBS > 7.9 and an AFP < 400 ng/mL (p = 0.003) or ≥ 400 ng/mL (p < 0.001). A multivariate analysis using TBS ≤ 7.9 and AFP < 400 ng/mL as the reference values showed that a TBS > 7.9 and an AFP < 400 ng/mL (hazard ratio (HR): 2.063; 95% confidence interval [CI]: 1.175-3.623; p = 0.012) or ≥ 400 ng/mL (HR: 6.570; 95% CI: 3.684-11.719; p < 0.001) were independent predictors of OS. In conclusion, combining radiographic TBSs and AFP levels could stratify OS among HCC patients undergoing LR.

Application of hazard functions to investigate recurrence after curative-intent resection for hepatocellular carcinoma

BACKGROUND

Defining patterns and risk of recurrence can help inform surveillance strategies and patient counselling. We sought to characterize peak hazard rates (pHR) and peak time of recurrence among patients who underwent resection of hepatocellular carcinoma (HCC).

METHODS

1434 patients who underwent curative-intent resection of HCC were identified from a multi-institutional database. Hazard, patterns, and peak rates of recurrence were characterized.

RESULTS

The overall hazard of recurrence peaked at 2.4 months (pHR: 0.0384), yet varied markedly. The incidence of recurrence increased with Barcelona Clinic Liver Cancer (BCLC) stage 0 (29%), A (54%), and B (64%). While the hazard function curve for BCLC 0 patients was relatively flat (pHR: <0.0177), BCLC A patients recurred with a peak at 2.4 months (pHR: 0.0365). Patients with BCLC B had a bimodal recurrence with a peak rate at 4.2 months (pHR: 0.0565) and another at 22.8 months. The incidence of recurrence also varied according to AFP level (≤400 ng/mL: 52.6% vs. >400 ng/mL: 36.3%) and Tumor Burden Score (low: 73.7% vs. medium: 50.6% vs. high: 24.2%) (both p < 0.001).

CONCLUSION

Recurrence hazard rates for HCC varied substantially relative to both time and intensity/peak rates. TBS and AFP markedly impacted patterns of hazard risk of recurrence.

Tumor Burden Score and Serum Alpha-fetoprotein Subclassify Intermediate-Stage Hepatocellular Carcinoma

BACKGROUND

Resection of Barcelona Clinic Liver Cancer (BCLC) intermediate-stage hepatocellular carcinoma (HCC) remains controversial. While not recommended by the BCLC algorithm, some patients may indeed benefit from hepatectomy. We sought to identify that subset of patients who might derive long-term survival benefit from resection.

METHODS

Intermediate-stage HCC patients who underwent curative-intent resection were identified from an international multi-institutional database. Factors associated with long-term prognosis were identified using multivariate analysis and a risk score was developed and assessed.

RESULTS

Among 194 patients, most individuals had two tumors (n = 123, 63.4%) with a median size of 6.0 cm (IQR, 4.0-8.4) for a median tumor burden score (TBS) of 6.5 (IQR, 5.0-9.1); median alpha-fetoprotein (AFP) was 23.9 ng/mL (IQR, 5.0-503.2), and median overall survival (OS) was 69 months (IAR, 60.7-77.3). Factors associated with OS included AFP (referent ≤ 20 ng/mL, > 20 ng/mL: HR 1.78 95%CI, 1.09-2.89) and TBS (referent TBS ≤ 8.0, TBS > 8.0: HR 1.72 95%CI, 1.07-2.75). While 71 (36.6%) patients had neither risk factor, 79 (40.7%) and 44 (22.7%) had 1 or 2, respectively. A simplified score stratified patients relative to recurrence-free survival (RFS) (0: 33.6% vs. 1: 18.0% vs. 2: 14.7%) (AUC 0.60) and recurrence time (i.e., < 6 months after surgery) (0: 21.3% vs. 1: 43.1% vs. 2: 68.6%) (AUC 0.69) (both p < 0.001). Of note, a higher score was also associated with incrementally worse 5-year OS (0: 68.1% vs. 1: 61.0% vs. 2: 29.9%) (AUC 0.62) (p < 0.001).

CONCLUSION

Long-term OS and RFS outcomes varied considerably. Using a simple risk score, patients with low AFP and low TBS were identified as the subset of individuals most likely to benefit from resection.

A Practical Nomogram and Risk Stratification System Predicting Cancer-Specific Survival for Hepatocellular Carcinoma Patients With Severe Liver Fibrosis

Objective

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths worldwide. This study aims to construct a novel practical nomogram and risk stratification system to predict cancer-specific survival (CSS) in HCC patients with severe liver fibrosis.

Methods

Data on 1,878 HCC patients with severe liver fibrosis in the period 1975 to 2017 were extracted from the Surveillance, Epidemiology, and End Results database (SEER). Patients were block-randomized (1,316 training cohort, 562 validation cohort) by setting random seed. Univariate and multivariate COX regression analyses were employed to select variables for the nomogram. The consistency index (C-index), the area under time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration curves were used to evaluate the performance of the nomogram. Decision curve analysis (DCA), the C-index, the net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to compare the nomogram with the AJCC tumor staging system. We also compared the risk stratification of the nomogram with the American Joint Committee on Cancer (AJCC) staging system.

Results

Seven variables were selected to establish the nomogram. The C-index (training cohort: 0.781, 95%CI: 0.767–0.793; validation cohort: 0.793, 95%CI = 95%CI: 0.779–0.798) and the time-dependent AUCs (the training cohort: the values of 1-, 3-, and 5 years were 0.845, 0.835, and 0.842, respectively; the validation cohort: the values of 1-, 3-, and 5 years were 0.861, 0.870, and 0.876, respectively) showed satisfactory discrimination. The calibration plots also revealed that the nomogram was consistent with the actual observations. NRI (training cohort: 1-, 2-, and 3-year CSS: 0.42, 0.61, and 0.67; validation cohort: 1-, 2-, and 3-year CSS: 0.26, 0.52, and 0.72) and IDI (training cohort: 1-, 3-, and 5-year CSS:0.16, 0.20, and 0.22; validation cohort: 1-, 3-, and 5-year CSS: 0.17, 0.26, and 0.30) indicated that the established nomogram significantly outperformed the AJCC staging system (P < 0.001). Moreover, DCA also showed that the nomogram was more practical and had better recognition.

Conclusion

A nomogram for predicting CSS for HCC patients with severe liver fibrosis was established and validated, which provided a new system of risk stratification as a practical tool for individualized treatment and management.

Correlation Between Serum Alpha-Fetoprotein and Tumour Size in Patients With Hepatocellular Carcinoma Treated With Direct-Acting Antivirals

Objectives: Since its first description, alpha-fetoprotein has become the most widely used marker for diagnosing and monitoring patients with hepatocellular carcinoma (HCC). This study aims to assess the correlation between serum levels of alpha-fetoprotein and tumour dimensions in patients diagnosed with HCC, that were previously treated with direct-acting antivirals for hepatitis C viral infection.

Materials and methods: We conducted a retrospective cohort study on 47 patients with a personal history of hepatitis C virus infection, who were diagnosed with different forms of HCC more than one year after achieving sustained virologic response after 12 weeks post-treatment. Patients were monitored by liver function tests, tumoral markers, blood cell count and coagulation profile and underwent imagistic explorations such as abdominal ultrasonography and, in selected cases, computerised tomography/magnetic resonance imaging. Tumour burden was assessed by both tumour burden score and seven-eleven criteria.

Results: The study mostly included cirrhotic patients, multinodular HCC being the predominant pattern. All patients had alpha-fetoprotein levels over 100 ng/ml, with values largely varying, in accordance with the tumour dimensions. Most patients had medium-range Tumour Burden Score, a variable that also correlated with nodule size.

Conclusions: The study found a significant correlation between serum alpha-fetoprotein and tumour size in patients with HCC. Alpha-fetoprotein also correlated well with Tumour Burden Score and remains a very important diagnostic and prognostic tool for patients with HCC.

Tumor Burden Score Stratifies Prognosis of Patients With Intrahepatic Cholangiocarcinoma After Hepatic Resection: A Retrospective, Multi-Institutional Study

Background

The prognostic significance of tumor burden score (TBS) on patients who underwent curative-intent resection of intrahepatic cholangiocarcinoma (ICC) has not been evaluated. The present study aimed to investigate the impact of TBS and its synergistic effect with CA19-9 (combination of TBS and CA19-9, CTC grade) on long-term outcomes.

Methods

Patients who underwent radical resection of ICC between 2009 and 2017 were retrospectively identified from a multi-center database. The overall survival (OS) and recurrence-free survival (RFS) were examined in relation to TBS, serum preoperative CA19-9, and CTC grade.

Results

A total of 650 patients were included in our study (509 in the derivation cohort and 141 in the validation cohort). Kaplan–Meier curves showed that both TBS and CA19-9 levels were strong predictors of survival outcomes. Patients with elevated TBS grade or elevated CA19-9 were associated with worse OS and RFS (both p < 0.001). As expected, CTC grade also performed well in predicting long-term outcomes. Patients with low TBS/low CA19-9 (CTC grade 1) were associated with the best OS as well as RFS, while high TBS/high CA19-9 (CTC grade 3) correlated to the worst outcomes. In the validation cohort, TBS grade, preoperative CA19-9, and CTC grade also stratified prognosis among patients (p < 0.001 for each).

Conclusions

Both tumor morphology (tumor burden) and tumor-specific biomarker (serum CA19-9) were important when evaluating prognosis of patients with resectable ICC. Serum CA19-9 and TBS showed a synergistic effect on prognostic evaluation. CTC grade was a promising tool in stratifying prognosis of ICC patients after curative resection.