A Combination of Sorafenib, an Immune Checkpoint Inhibitor, TACE and Stereotactic Body Radiation Therapy versus Sorafenib and TACE in Advanced Hepatocellular Carcinoma Accompanied by Portal Vein Tumor Thrombus

Multiparametric MRI based deep learning model for prediction of early recurrence of hepatocellular carcinoma after SR following TACE

BACKGROUND

Surgical resection (SR) following transarterial chemoembolization (TACE) is a promising treatment for unresectable hepatocellular carcinoma (uHCC). However, biomarkers for the prediction of postoperative recurrence are needed.

PURPOSE

To develop and validate a model combining deep learning (DL) and clinical data for early recurrence (ER) in uHCC patients after TACE.

METHODS

A total of 511 patients who received SR following TACE were assigned to derivation (n = 413) and validation (n = 98) cohorts. Deep learning features were taken from the largest tumor area in liver MRI. A nomogram using DL signatures and clinical data was made to forecast early recurrence risk in uHCC patients. Model performance was evaluated using area under the curve (AUC).

RESULTS

A total of 2278 subsequences and 31,346 slices multiparametric MRI including contrast-enhanced T1WI, T2WI and DWI were input in the DL model simultaneously. Multivariable analysis identified three independent predictors for the development of the nomogram: tumor number (hazard ratio [HR]:3.42, 95% confidence interval [CI]: 2.75-4.31, P = 0.003), microvascular invasion (HR: 9.21, 6.24-32.14; P < 0.001), and DL scores (HR: 17.46, 95% CI: 12.94-23.57, P < 0.001). The AUC of the nomogram was 0.872 and 0.862 in two cohorts, significantly outperforming single-subsequence-based DL mode and clinical model (all, P < 0.001). The nomogram provided two risk strata for cumulative overall survival in two cohorts, showing significant statistical results (P < 0.001).

CONCLUSIONS

The DL-based nomogram is essential to identify patients with uHCC suitable for treatment with SR following TACE and may potentially benefit personalized decision-making.

Combined transarterial chemoembolization and tislelizumab for patients with unresectable hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) often presents as unresectable, necessitating effective treatment modalities. Combining transarterial chemoembolization (TACE) with immunotherapy and targeted therapy has shown promise, yet real-world evidence is needed.

AIM

To investigate effectiveness and safety of TACE with tislelizumab ± targeted therapy for unresectable HCC in real-world setting.

METHODS

This retrospective study included patients with unresectable HCC receiving combined treatment of TACE and tislelizumab. The clinical outcomes included progression-free survival (PFS), overall survival (OS), objective response rate (ORR), and disease control rate (DCR). All patients were evaluated according to the mRECIST criteria. The adverse event (AE) was also assessed.

RESULTS

In this study of 56 patients with median follow-up of 10.9 months, 7 had previous immunotherapy. Tislelizumab was administered before TACE in 21 (37.50%) and after in 35 (62.50%) patients, with 91.07% receiving concurrent targeted therapy. Median PFS was 14.0 (95%CI: 7.0-18.00) months, and OS was 28 (95%CI: 2.94-53.05) months. Patients with prior immunotherapy had shorter PFS (6 vs. 18 months, P = 0.006). Overall ORR and DCR were 82.14% and 87.50%. Grade ≥ 3 treatment-related AEs included increased alanine aminotransferase (8.93%), aspartate aminotransferase (10.71%), and total bilirubin (3.57%).

CONCLUSION

The combination of TACE and tislelizumab, with or without targeted therapy, demonstrated promising efficacy and safety in unresectable HCC, especially in immunotherapy-naive patients, warranting further prospective validation studies.

Machine learning-based decision support model for selecting intra-arterial therapies for unresectable hepatocellular carcinoma: A national real-world evidence-based study

IMPORTANCE

Intra-arterial therapies(IATs) are promising options for unresectable hepatocellular carcinoma(HCC). Stratifying the prognostic risk before administering IAT is important for clinical decision-making and for designing future clinical trials.

OBJECTIVE

To develop and validate a machine learning(ML)-based decision support model(MLDSM) for recommending IAT modalities for unresectable HCC.

DESIGN, SETTING, AND PARTICIPANTS

Between October 2014 and October 2022, a total of 2,959 patients with HCC who underwent initial IATs were enroled retrospectively from 13 tertiary hospitals. These patients were divided into the training cohort (n = 1700), validation cohort (n = 428), and test cohort (n = 200).

MAIN OUTCOMES AND MEASURES

Thirty-two clinical variables were input, and five supervised ML algorithms, including eXtreme Gradient Boosting (XGBoost), Categorical Gradient Boosting (CatBoost), Gradient Boosting Decision Tree (GBDT), Light Gradient Boosting Machine (LGBM) and Random Forest (RF), were compared using the areas under the receiver operating characteristic curve (AUC) with the DeLong test.

RESULTS

A total of 1856 patients were assigned to the IAT alone Group(I-A), and 1103 patients were assigned to the IAT combination Group(I-C). The 12-month death rates were 31.9% (352/1103) in the I-A group and 50.4% (936/1856) in the I-C group. For the test cohort, in the I-C group, the CatBoost model achieved the best discrimination when 30 variables were input, with an AUC of 0.776 (95% confidence intervals [CI], 0.833-0.868). In the I-A group, the LGBM model achieved the best discrimination when 24 variables were input, with an AUC of 0.776 (95% CI, 0.833-0.868). According to the decision trees, BCLC grade, local therapy, and diameter as top three variables were used to guide clinical decisions between IAT modalities.

CONCLUSIONS AND RELEVANCE

The MLDSM can accurately stratify prognostic risk for HCC patients who received IATs, thus helping physicians to make decisions about IAT and providing guidance for surveillance strategies in clinical practice.

Systemic conversion therapies for initially unresectable hepatocellular carcinoma: a systematic review and meta-analysis

BACKGROUND

Systemic conversion therapy provides patients with initially unresectable hepatocellular carcinoma (HCC) the chance to salvage radical liver resection and superior survival outcomes, but the optimal conversion strategy is unclear.

METHODS

A systematic literature search was conducted on PubMed, EMBASE, Web of Science, Scopus, and the Cochrane Library between 2007 and 2024 focusing on studies reporting conversion therapy for HCC. The treatment groups were divided into Tyrosine kinase inhibitors (TKI), TKI plus loco-regional therapy (LRT), TKI plus anti-PD-1 therapy (TKI + PD-1), TKI + PD-1 + LRT, immune checkpoint inhibitors (ICI) plus LRT, and Atezolizumab plus bevacizumab (A + T) groups. The conversion to surgery rate (CSR), objective response rate (ORR), grade ≥ 3 treatment-related adverse events (AEs), overall survival (OS) and progression-free survival (PFS) were analyzed.

RESULTS

38 studies and 4,042 patients were included. The pooled CSR were 8% (95% CI, 5-12%) in TKI group, 13% (95% CI, 8-19%) in TKI + LRT group, 28% (95% CI, 19-37%) in TKI + PD-1 group, 33% (95% CI, 25-41%) in TKI + PD-1 + LRT group, 23% (95% CI, 1-46%) in ICI + LRT group, and 5% (95% CI, 3-8%) in A + T group, respectively. The pooled HR for OS (0.45, 95% CI, 0.35-0.60) and PFS (0.49, 95% CI, 0.35-0.70) favored survival benefit of conversion surgery. Subgroup analysis revealed that lenvatinib + PD-1 + LRT conferred higher CSR of 35% (95% CI, 26-44%) and increased ORR of 70% (95% CI, 56-83%).

CONCLUSIONS

The current study indicates that TKI + PD-1 + LRT, especially lenvatinib + PD-1 + LRT, may be the superior conversion therapy with a manageable safety profile for patients with initially unresectable HCC. The successful conversion therapy favors the superior OS and PFS compared with systemic treatment alone.

TRIAL REGISTRATION

International prospective register of systematic reviews (PROSPERO) (registration code: CRD 42024495289).

Prognosis prediction and risk stratification of transarterial chemoembolization or intraarterial chemotherapy for unresectable hepatocellular carcinoma based on machine learning

OBJECTIVE

To develop and validate a risk scoring scale model (RSSM) for stratifying prognostic risk after intra-arterial therapies (IATs) for hepatocellular carcinoma (HCC).

METHODS

Between February 2014 and October 2022, 2338 patients with HCC who underwent initial IATs were consecutively enrolled. These patients were divided into training datasets (TD, n = 1700), internal validation datasets (ITD, n = 428), and external validation datasets (ETD, n = 200). Five-years death was used to predict outcome. Thirty-four clinical information were input and five supervised machine learning (ML) algorithms, including eXtreme Gradient Boosting (XGBoost), Categorical Gradient Boosting (CatBoost), Gradient Boosting Decision Tree (GBDT), Light Gradient Boosting Machine (LGBT), and Random Forest (RF), were compared using the areas under the receiver operating characteristic (AUC) with DeLong test. The variables with top important ML scores were used to build the RSSM by stepwise Cox regression.

RESULTS

The CatBoost model achieved the best discrimination when 12 top variables were input, with the AUC of 0.851 (95% confidence intervals (CI), 0.833-0.868) for TD, 0.817 (95%CI, 0.759-0.857) for ITD, and 0.791 (95%CI, 0.748-0.834) for ETD. The RSSM was developed based on the immune checkpoint inhibitors (ICI) (hazard ratios (HR), 0.678; 95%CI 0.549, 0.837), tyrosine kinase inhibitors (TKI) (HR, 0.702; 95%CI 0.605, 0.814), local therapy (HR, 0.104; 95%CI 0.014, 0.747), response to the first IAT (HR, 4.221; 95%CI 2.229, 7.994), tumor size (HR, 1.054; 95%CI 1.038, 1.070), and BCLC grade (HR, 2.375; 95%CI 1.950, 2.894). Kaplan-Meier analysis confirmed the role of RSSM in risk stratification (p < 0.001).

CONCLUSIONS

The RSSM can stratify accurately prognostic risk for HCC patients received IAT. On the basis, an online calculator permits easy implementation of this model.

CLINICAL RELEVANCE STATEMENT

The risk scoring scale model could be easily implemented for physicians to stratify risk and predict prognosis quickly and accurately, thereby serving as a more favorable tool to strengthen individualized intra-arterial therapies and management in patients with unresectable hepatocellular carcinoma.

KEY POINTS

• The Categorical Gradient Boosting (CatBoost) algorithm achieved the optimal and robust predictive ability (AUC, 0.851 (95%CI, 0.833-0.868) in training datasets, 0.817 (95%CI, 0.759-0.857) in internal validation datasets, and 0.791 (95%CI, 0.748-0.834) in external validation datasets) for prediction of 5-years death of hepatocellular carcinoma (HCC) after intra-arterial therapies (IATs) among five machine learning models. • We used the SHapley Additive exPlanations algorithms to explain the CatBoost model so as to resolve the black boxes of machine learning principles. • A simpler restricted variable, risk scoring scale model (RSSM), derived by stepwise Cox regression for risk stratification after intra-arterial therapies for hepatocellular carcinoma, provides the potential forewarning to adopt combination strategies for high-risk patients.

Interventional therapy combined with tyrosine kinase inhibitors with or without immune checkpoint inhibitors as initial treatment for hepatocellular carcinoma with portal vein tumor thrombosis: a systematic review and meta-analysis

BACKGROUND

Interventional therapy, in conjunction with tyrosine kinase inhibitors (TKIs), has shown promising outcomes for treating hepatocellular carcinoma (HCC) with portal vein tumor thrombosis (PVTT). With the advent of immunotherapy, the combined use of immune checkpoint inhibitors (ICIs) has attracted great attention due to their potential effectiveness in advanced HCC. This study aims to compare the efficacy and safety of a triple therapy regimen (Interventional therapy, TKIs and ICIs, IT-TKI-ICI) with a dual therapy regimen (Interventional therapy and TKIs, IT-TKI) in the treatment of HCC and PVTT (HCC-PVTT).

METHODS

A comprehensive search was carried out in PubMed, Web of Science, Embase, Scopus, and the Cochrane Library databases. Primary outcome measures were overall survival (OS) and progression-free survival (PFS), while secondary outcomes included tumor response rate, adverse event incidence as well as downstaging surgery rate. Statistical analysis was conducted using Revman 5.4 software.

RESULTS

The meta-analysis finally included 6 cohort studies. The triple therapy group demonstrated significantly prolonged OS and PFS compared to the dual therapy group. Meanwhile, the former exhibited significantly higher rates of objective response rate (ORR), disease control rate (DCR) and better downstaging effects with a higher salvage surgery rate without significantly increasing adverse events.

CONCLUSION

In comparison to dual therapy, the triple therapy with interventional therapy, TKIs, and ICIs demonstrates superior efficacy and equivalent safety for HCC-PVTT.

Comparison of tumor response and outcomes of patients with hepatocellular carcinoma after multimodal treatment including immune checkpoint inhibitors - a systematic review and meta-analysis

BACKGROUND

The efficacy of immune checkpoint inhibitors (ICIs) combined with tyrosine kinase inhibitors (TKIs), trans-arterial chemoembolization (TACE), and radiotherapy to treat hepatocellular carcinoma (HCC) has not been well-defined. We performed a meta-analysis to characterize tumor response and survival associated with multimodal treatment of HCC.

METHODS

PubMed, Embase, Medline, Scopus, and CINAHL databases were searched (1990-2022). Random-effect meta-analysis was conducted to compare efficacy of treatment modalities. Odds ratios (OR) and standardized mean difference (SMD) were reported.

RESULTS

Thirty studies (4170 patients) met inclusion criteria. Triple therapy regimen (ICI + TKI + TACE) had the highest overall disease control rate (DCR) (87%, 95% CI 83-91), while ICI + radiotherapy had the highest objective response rate (ORR) (72%, 95% CI 54%-89%). Triple therapy had a higher DCR than ICI + TACE (OR 4.49, 95% CI 2.09-9.63), ICI + TKI (OR 3.08, 95% CI 1.63-5.82), and TKI + TACE (OR 2.90, 95% CI 1.61-5.20). Triple therapy demonstrated improved overall survival versus ICI + TKI (SMD 0.72, 95% CI 0.37-1.07) and TKI + TACE (SMD 1.13, 95% CI 0.70-1.48) (both p < 0.05). Triple therapy had a greater incidence of adverse events (AEs) compared with ICI + TKI (OR 0.59, 95% CI 0.29-0.91; p = 0.02), but no difference in AEs versus ICI + TACE or TKI + TACE (both p > 0.05).

CONCLUSION

The combination of ICIs, TKIs and TACE demonstrated superior tumor response and survival and should be considered for select patients with advanced HCC.

TACE plus tyrosine kinase inhibitors and immune checkpoint inhibitors versus TACE plus tyrosine kinase inhibitors for the treatment of patients with hepatocellular carcinoma: a meta-analysis and trial sequential analysis

BACKGROUND

We conducted a meta-analysis and trial sequential analysis (TSA) to compare the therapeutic efficacy and adverse events (AEs) between the following treatment strategies for patients with hepatocellular carcinoma (HCC): TACE plus tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) (TACE + T + I) versus TACE plus TKIs (TACE + T).

METHODS

We systematically searched PubMed, the Web of Science, the Cochrane Library, and Embase for studies comparing TACE + T + I and TACE + T for the treatment of BCLC intermediate- or advanced-stage HCC. The objective response rate (ORR), progression-free survival (PFS), overall survival (OS), and AEs were included as outcomes. We used a fixed- or random-effects model based on the results of a heterogeneity evaluation and performed a meta-analysis using Review Manager 5.3 and Stata 16.0. We then carried out the TSA.

RESULTS

Five studies examining a total of 425 patients were included in this study. Our meta-analysis revealed that, compared to TACE + T, TACE + T + I significantly improved the ORR (risk ratio [RR] = 1.53, 95% confidence interval [CI] = 1.27-1.85, p < 0.01) and extended both the median PFS (mean difference [MD] = 4.51 months, 95% CI = 2.16-6.87, p < 0.01) and median OS (MD = 5.75 months, 95% CI = 4.03-7.48, p < 0.01). These results were tested to be true by the TSA without requiring a larger information size. Among AEs, hypertension tended to occur more often in patients treated with TACE + T + I than in those treated with TACE + T (RR = 1.58, 95% CI = 1.05-2.40, p < 0.05). However, the TSA suggested that additional cases are necessary to confirm this difference. Regarding the other AEs, no significant differences were detected between the two groups.

CONCLUSION

TACE + T + I showed better effects on the ORR, PFS, and OS than TACE + T as a treatment for BCLC stages B and C HCC, without an obvious increase in the AEs. Based on these findings, well-designed, large RCTs are suggested.

Efficacy and safety of transarterial chemoembolization combined with lenvatinib, programmed death-1 inhibitor, and iodine-125 seed brachytherapy for hepatocellular carcinoma with portal vein tumor thrombosis

BACKGROUND

Therapy for hepatocellular carcinoma (HCC) patients with portal vein tumor thrombosis (PVTT) is still controversial. This study was performed to evaluate the efficacy and safety of the combination therapy comprising transarterial chemoembolization (TACE), lenvatinib (L), programmed death-1 inhibitor (P), and iodine-125 seed (I125) brachytherapy relative to TACE in combination with lenvatinib plus programmed death-1 inhibitor therapy and TACE plus lenvatinib therapy.

METHODS

The data of HCC patients with PVTT from July 2017 to August 2022 were assessed in this single-center retrospective study. Primary study outcomes were progression-free survival (PFS) and overall survival (OS), while the secondary outcomes were disease control rate (DCR), objective response rate (ORR), and treatment-related adverse events.

RESULTS

We enrolled 150 patients totally, including 50 patients treated with TACE plus lenvatinib therapy (TACE+L group), 45 patients treated with TACE in combination with lenvatinib plus programmed death-1 inhibitor therapy (TACE+L+P group), and 55 patients treated with the combination therapy of TACE along with I125 brachytherapy, lenvatinib, and programmed death-1 inhibitor therapy (TACE+L+P+I125 group). The median OS in the TACE+L+P+I125 group (21.0; 95% confidence interval [CI]: 18.4∼23.5 months) was significantly longer than that in the TACE+L group (10; 95% CI: 7.8∼12.1months) (p = 0.006), while it was insignificantly longer than that in the TACE+L+P group (14.0; 95% CI: 10.7∼17.2months) (p = 0.058). The median PFS in the TACE+L+P+I125 group (13.0; 95% CI: 10.2∼15.7 months) was significantly longer than that in the TACE+L group (5.0; 95% CI: 4.2∼5.7 months) (p = 0.014) and the TACE+L+P group (9.0; 95% CI: 6.7∼11.2 months) (p = 0.048). Statistically significant differences between groups were found in DCR (p = 0.015). There were no significant between-group differences in treatment-related adverse events (p > 0.05).

CONCLUSIONS

A combination therapy of TACE, lenvatinib, programmed death-1 inhibitor, and I125 seed brachytherapy significantly improve OS, PFS, and DCR and show better survival prognosis for HCC patients accompanied by PVTT.

Efficacy and safety of PD1/PDL1 inhibitors combined with radiotherapy and anti-angiogenic therapy for solid tumors: A systematic review and meta-analysis

BACKGROUND

The triple combination of programmed cell death 1 (PD1)/programmed cell death ligand 1 (PDL1) inhibitors, radiotherapy (RT), and anti-angiogenesis agents has been widely used in the treatment of solid tumors and has shown positive efficacy. We conducted a meta-analysis to evaluate the efficacy and safety of PD1/PDL1 inhibitors combined with anti-angiogenic agents and RT for the treatment of solid cancers.

METHODS

A systematic search of PubMed, Embase, Cochrane Library, and Web of Science databases was conducted from inception to October 31, 2022. Studies involving patients with solid cancers who received PD1/PDL1 inhibitors combined with RT and anti-angiogenic agents treatment that reported overall response rate, complete remission rate, disease control rate, and adverse events (AEs) were included. A random-effects or fixed-effects model was used for the pooled rates, and 95% confidence intervals (CIs) were determined for all outcomes. The quality of the included literature was assessed using the methodological index for nonrandomized studies critical appraisal checklist. Egger test was used to assess the publication bias in the included studies.

RESULTS

Ten studies (4 nonrandomized controlled trials and 6 single-arm trials), including 365 patients, were identified and included in the meta-analysis. The pooled overall response rate after treatment with PD1/PDL1 inhibitors combined with RT and anti-angiogenic agents was 59% (95% CI: 48-70%), whereas the disease control rate and complete remission rate were 92% (95% CI: 81-103%) and 48% (95% CI: 35-61%), respectively. Moreover, the meta-analysis showed that compared with triple-regimen, monotherapy or dual-combination treatment did not improve overall survival (hazard ratio = 0.499, 95% CI: 0.399-0.734) and progression-free survival (hazard ratio = 0.522, 95% CI: 0.352-0.774). The pooled rate of grade 3 to 4 AEs was 26.9% (95% CI: 7.8%-45.9), and the common AEs to triple therapy included leukopenia (25%), thrombocytopenia (23.8%), fatigue (23.2%), gastrointestinal discomfort (22%), increased alanine aminotransferase (22%), and neutropenia (21.4%).

CONCLUSION

In the treatment of solid tumors, PD1/PDL1 inhibitors combined with RT and anti-angiogenic drugs achieved a positive response and better survival benefits than monotherapy or dual therapy. In addition, combination therapy is tolerable and safe.

REGISTRATION

PROSPERO ID: CRD42022371433.