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SYSTEMATIC REVIEW article

Front. Oncol., 11 December 2025

Sec. Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers

Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1707622

This article is part of the Research TopicImmuno-metabolic Approaches for the Treatment of Hepatobiliary and Pancreatic TumorsView all 11 articles

Efficacy of TACE plus tyrosine kinase inhibitors and immune checkpoint inhibitors in patients with unresectable hepatocellular carcinoma: a systematic review and meta-analysis

Kailin Ye,&#x;Kailin Ye1,2†Jiale Zhou,&#x;Jiale Zhou1,2†Jie Lin,&#x;Jie Lin2,3†Yongzhi Li&#x;Yongzhi Li3†Yansong Luo,Yansong Luo1,2Fei Xie*Fei Xie2*
  • 1Department of Hepatobiliary and Pancreatic Surgery, Chengdu Medical College, Chengdu, Sichuan, China
  • 2Department of Hepatobiliary and Pancreatic Surgery, The Neijiang First People’s Hospital, Neijiang, Sichuan, China
  • 3Department of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, Jilin, China

Background: Transarterial chemoembolization (TACE) is currently widely used in the treatment of patients with unresectable hepatocellular carcinoma. However, the combination of TACE with tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) during treatment remains controversial. This study aims to evaluate the efficacy and safety of TACE combined with TKIs and ICIs in patients with unresectable hepatocellular carcinoma and to compare this approach with other treatment regimens.

Method: We conducted a systematic search of relevant studies from multiple online databases, with the search deadline set at March 2025. We explored the relationship between prognosis and adverse reactions of TACE + TKIs + ICIs combination therapy, TACE + TKIs therapy, and TACE monotherapy in patients with unresectable hepatocellular carcinoma. Based on heterogeneity assessment results, we used fixed- or random-effects models and employed trial sequential analysis (TSA) to determine whether the findings have sufficient conclusive power.

Result: This study included 24 cohort studies involving 3,906 patients. Compared with TACE plus TKIs therapy and TACE monotherapy, the combination therapy of TACE plus TKIs plus ICIs significantly improved the objective response rate (ORR) (risk ratio [RR] = 1.49 [95% confidence interval [CI] = 1.35–1.63], p < 0.001 and RR = 1.75 [95% CI 1.48–2.06], p < 0.001), disease control rate (DCR) (RR = 1.27 [95% CI 1.20–1.34], p < 0.001 and RR = 1.39 [95% CI = 1.23–1.58], p < 0.001), and median progression-free survival (mPFS) (mean difference [MD] = 6.05 months [95% CI = 4.77–7.33], p < 0.001 and MD = 7.84 months [95% CI = 5.44–10.24], p < 0.001), and median overall survival (mOS) (MD = 2.93 months [95% CI = 2.57–3.29], p < 0.001 and MD = 4.63 months [95% CI = 2.32–6.95], p < 0.001). TSA confirmed that the current sample size was sufficient to support these conclusions. Univariate and multivariate prognostic analyses indicated that the combination therapy of TACE, TKIs, and ICIs, akin to established clinical factors in hepatocellular carcinoma, can serve as a prognostic assessment indicator for patients with unresectable disease. Although the triple therapy carried a slightly higher risk of adverse events compared with the other two treatments, no grade 5 adverse events were observed, indicating that this regimen was generally well tolerated.

Conclusion: This study demonstrates that, compared with TACE combined with TKIs and TACE monotherapy, TACE + TKIs + ICIs combination therapy can substantially improve the prognosis of patients with unresectable hepatocellular carcinoma while maintaining a manageable safety profile.

Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier PROSPERO CRD420250653604.

Introduction

Liver cancer is the sixth most prevalent cancer worldwide by incidence and the third leading cause of cancer-related mortality, ranking second among men specifically (1). According to GLOBOCAN statistics, in 2022, there were approximately 865,000 new cases of liver cancer and over 750,000 related deaths globally (1). By 2040, it is projected that new liver cancer cases will reach 1.4 million annually, with deaths rising to 1.3 million (2). Hepatocellular carcinoma (HCC) accounts for approximately 90% of all liver cancer cases (3). Due to its insidious onset and rapid progression, most HCC patients are diagnosed at an advanced stage, when surgical resection is no longer an option (4, 5). Retrospective survival analyses indicate that the 3-year survival rate for patients with unresectable hepatocellular carcinoma (uHCC) who did not receive effective treatment is only 17% (6). Given the high prevalence and unfavorable prognosis of advanced hepatocellular carcinoma, there is an urgent need to identify effective treatment strategies to prolong survival and improve the quality of life for patients with uHCC.

Transcatheter arterial chemoembolization (TACE) is the standard first-line treatment for patients with unresectable HCC. It involves embolizing the tumor-supplying arteries and locally releasing chemotherapy drugs to inhibit tumor growth and induce ischemic necrosis (7). However, the efficacy of TACE monotherapy in patients with unresectable hepatocellular carcinoma is often limited by tumor collateral circulation formation, drug resistance, local recurrence, and the risk of distant metastasis (810). A meta-analysis of randomized controlled trials showed that, compared with nonactive treatment, TACE can improve the 2-year overall survival rate of patients with unresectable hepatocellular carcinoma, but the benefit is relatively small (11). Tyrosine kinase inhibitors (TKIs) serve as first-line treatments for advanced hepatocellular carcinoma, obstructing tumor angiogenesis by blocking signaling pathways such as vascular endothelial growth factor (VEGF) (12, 13). Relevant randomized controlled trials demonstrate that sorafenib and regorafenib exhibit favorable single-agent efficacy and safety profiles in patients with advanced hepatocellular carcinoma (1416). Nonetheless, TKIs alone do not achieve the required treatment effectiveness for advanced hepatocellular cancer. A meta-analysis of randomized controlled trials and a multicenter randomized controlled trial revealed that TACE combined with TKIs (TACE + TKIs) produces superior clinical outcomes compared to TACE or TKIs alone (17, 18).

As an innovative cancer therapeutic approach, immune checkpoint inhibitors (ICIs) have shown encouraging clinical efficacy in patients with uHCC (19). ICIs largely enhance antitumor immunity by alleviating immune suppression mediated by Programmed cell death protein 1(PD-1), Programmed death-ligand 1(PD-L1), and Cytotoxic T-lymphocyte-associated protein 4(CTLA-4) (20). Results from global multicenter phase III trials indicate that nivolumab and durvalumab monotherapy demonstrate noninferior overall survival (OS) compared with sorafenib, while the combination of durvalumab and tremelimumab markedly improves overall survival in patients with uHCC (5, 21). Theoretically, combining TACE with TKIs and ICIs (TACE + TKIs + ICIs) can induce ischemia necrosis in tumors, inhibit tumor growth and angiogenesis, augment the release of tumor-specific antigens, and stimulate immune activation to enhance antitumor efficacy (2225). Ultimately, the combination of TACE, TKIs, and ICIs forms a triple treatment model of “local treatment + systemic control + immune activation”. Currently, extensive multicenter randomized controlled trials are lacking, and debate persists over whether the TACE + TKIs + ICIs combination therapy is more effective than TACE combined with TKIs or TACE monotherapy in patients with uHCC. Therefore, this study aims to evaluate the efficacy and potential adverse effects of TACE + TKIs + ICIs compared with TACE combined with TKIs and TACE monotherapy in the treatment of unresectable HCC by integrating existing clinical research data. Additionally, trial sequential analysis (TSA) is conducted to assess whether the accumulated data have reached the required information size (RIS) and to adjust for increased risks of random error and bias.

Method

Search strategy

This study seeks to evaluate the efficacy and safety of TACE combined with TKIs and ICIs in patients with uHCC. The PICO question is, “Does the combination of TACE, TKIs, and ICIs provide superior efficacy and safety compared to TACE combined with TKIs or TACE monotherapy in patients with unresectable hepatocellular carcinoma?” We systematically searched the PubMed, Web of Science, Cochrane Library, Embase, Scopus, OVID, and ProQuest databases for pertinent studies published from the inception of each database up to March 2025. We formulated a search strategy by integrating database-specific medical subject headings (MeSH) with free-text terms. The search keywords included “liver neoplasms”, “chemoembolization, therapeutic”, “TACE”, “tyrosine kinase inhibitors”, “TKI”, “lenvatinib”, “regorafenib”, “apatinib”, “donafenib”, “cabozantinib”, “camrelizumab”, “ramucirumab”, “immune checkpoint inhibitors”, “ICI”, “PD-1”, and “PD-L1”. No language restrictions were enforced throughout the search procedure. To guarantee comprehensive inclusion of relevant literature, the reference lists provided by the relevant studies were also reviewed, with two researchers independently conducting the literature screening.

Inclusion and exclusion criteria

Studies meeting the following criteria were included in the analysis: (1) Study design: randomized controlled trials (RCTs) or retrospective or prospective cohort studies; (2) Participants: patients diagnosed with HCC based on imaging or pathological biopsy evidence, and those in Barcelona Clinic Liver Cancer (BCLC) stage B/C or with other unresectable HCC; (3) Intervention: TACE combined with TKIs and ICIs; (4) Control measures: TACE combined with TKIs or TACE monotherapy (including conventional TACE and TACE with drug-eluting beads); (5) Outcome measures: studies capable of providing data on median overall survival (mOS), median progression-free survival (mPFS), objective response rate (ORR), disease control rate (DCR), adverse events (AEs), etc.

Studies that did not meet the following criteria were excluded: (1) Systematic reviews, commentaries, case reports, reviews, case–control studies, and literature lacking full text; (2) studies with irrelevant content, noncompliant research methodologies, or inadequate data for extraction or measurement; (3) studies involving patients with BCLC stage D or those who had previously undergone systemic therapy, immunotherapy, or other first-line treatments (including transarterial chemoembolization, hepatic artery infusion chemotherapy, or systemic therapy); and (4) studies published by the same author or utilizing identical data.

Data extraction and quality assessment

Data extraction was conducted by two independent reviewers using a standardized form. The extracted data comprised study characteristics (first author’s name, year of publication, study design, type of treatment, names of TKIs and ICIs, and sample size); population characteristics (patient age, gender, BCLC stage, Child–Pugh grade, and Eastern Cooperative Oncology Group [ECOG] performance status score [ECOG-PS]); and outcome measures (mPFS, mOS, ORR, DCR, and AEs).

Two researchers independently assessed the quality of the included studies using a standardized quality evaluation instrument. Disputes were resolved through discussion, with a third researcher involved to provide the final decision when necessary. Since all studies in this analysis were cohort studies, the modified Newcastle–Ottawa Scale (NOS) was used to evaluate their quality. Scoring was based on three criteria: selection of the study population, comparability between groups, and evaluation of outcome measures. Each cohort study was assigned a NOS score ranging from 0 to 9 points (7–9 points indicating excellent quality, 4–6 points indicating moderate quality, and 1–3 points indicating low quality).

Statistical analysis

The included studies were analyzed using Stata 15.0 and Review Manager 5.4. For dichotomous outcome variables, the risk ratio (RR) with a 95% confidence interval (CI) was calculated, and for continuous outcome variables, the mean difference (MD) with a 95% CI was determined. Heterogeneity was evaluated using the Cochrane Q test (p < 0.1 indicating heterogeneity) and the I2 test (studies with I2 values < 25%, 50%, 75%, and 100% were classified as having no, low, moderate, and high heterogeneity, respectively). In cases of low heterogeneity (I2 ≤ 50% and p ≥ 0.1), a fixed-effect model was applied; for moderate to high heterogeneity (I2 > 50% or p < 0.1), sensitivity analyses were performed to identify sources of heterogeneity. If no definitive source was found, a random-effects model was used. Publication bias was evaluated via visual inspection of funnel plots and by Begg’s and Egger’s tests, with p < 0.05 considered statistically significant. When publication bias was detected, trim-and-fill analysis was performed.

This study also conducted a TSA to account for the risk of random error. TSA primarily determines the certainty of meta-analysis results by providing the RIS and TSA threshold, similar to the interim monitoring threshold for individual randomized controlled trials (26). In the TSA analysis, the type I error probability (α = 0.05) and type II error probability (β = 0.2) were set, corresponding to a test power of 80%. A relative risk reduction (RRR) of 20% was established for the combination therapy of TACE + TKIs + ICIs compared to TACE + TKIs therapy, and a 30% RRR was set compared to TACE monotherapy for calculating the RIS in binary outcome measures. For continuous outcome measures, the empirical mean difference (MD) and variance were used to calculate the RIS. Depending on the results of the heterogeneity assessment, either a random-effects model or a fixed-effects model was employed.

Protocol registration

This study is registered in PROSPERO (CRD420250653604).

Results

Study selection

The preliminary database literature search yielded 1,404 study publications. After removing 625 duplicates and 280 studies with irrelevant formats (such as reviews, letters, editorials, case reports, trial protocols, and laboratory research), 510 abstracts were screened. Following abstract screening, 52 studies underwent full-text assessment. During this assessment, we found that the studies by Li et al. and Yuan et al. used the same cohort. We excluded the trial by Yuan et al. because the control measure consisted exclusively of TACE combined with TKIs (27, 28). Ultimately, 24 studies comprising 3,906 participants met the inclusion criteria (2851). Figure 1 presents the study inclusion flowchart.

Figure 1
Flowchart of a systematic review process according to PRISMA guidelines. A total of 1404 records were identified from databases and none from other sources, with 779 remaining after removing duplicates. After initial screening, 510 records remained. 52 full-text articles were assessed for eligibility, with 24 included in both qualitative and quantitative synthesis. Several records were excluded due to irrelevant formats or mismatched methods and 28 full-text articles were excluded for not meeting inclusion criteria. The flow is divided into four stages: Identification, Screening, Eligibility, and Included.

Figure 1. Study inclusion process.

Study characteristics

Of the 24 studies included, 23 were retrospective cohort studies, and one was a prospective cohort study; eight studies employed propensity score matching (PSM). All studies used TACE in combination with TKIs and ICIs as the intervention. Nineteen studies used TACE combined with TKIs as the control intervention, three studies used TACE combined with TKIs and TACE monotherapy as the control, and two studies used TACE monotherapy as the control. The immune checkpoint inhibitors employed included toripalimab, camrelizumab, sintilimab, tislelizumab, atezolizumab, pembrolizumab, and nivolumab, while the tyrosine kinase inhibitors included sorafenib, lenvatinib, apatinib, regorafenib, and bevacizumab. This meta-analysis comprised 3,906 patients, of whom approximately 82.51% were men, 69.84% had Barcelona Clinic Liver Cancer (BCLC) stage C tumors, 30.11% had a Child–Pugh grade of B, and 46.72% had an ECOG performance status score of 1. The studies and patient characteristics are summarized in Table 1. The NOS scores for all included studies were all > 6 points, indicating high-quality literature, as detailed in Table 2.

Table 1
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Table 1. Baseline characteristics of trial patients included in the meta-analysis.

Table 2
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Table 2. Methodological quality assessment of cohort studies: the Newcastle–Ottawa scale.

Objective response rate and disease control rate

Regarding ORR, there was no heterogeneity (I2 = 15%, p = 0.25) among the 22 studies comparing TACE + TKIs + ICIs combination therapy with TACE + TKIs therapy. Subsequent sensitivity analysis was conducted to ensure the correctness and stability of the studies, revealing that the research completed by Duan et al. (32) substantially affected this analysis (Supplementary Figure S1). After eliminating this study, the remaining 21 studies exhibited no heterogeneity (I2 = 0%, p = 0.59), and the sensitivity analysis indicated robust stability. A fixed-effect meta-analysis was performed. The results indicated that the ORR in the combination therapy group was significantly higher than that in the TACE + TKIs group (RR = 1.49 [95% CI = 1.35–1.63], p < 0.001, Figure 2A). The five studies comparing TACE + TKIs + ICIs with TACE monotherapy showed no heterogeneity (I2 = 0%, p = 0.47), and the sensitivity analysis showed satisfactory stability (Supplementary Figure S1). A meta-analysis using a fixed-effect model indicated that the ORR in the combination therapy cohort was markedly superior to that in the TACE monotherapy cohort (RR = 1.75 [95% CI = 1.48–2.06], p < 0.001, Figure 2C).

Figure 2
Four forest plots compare different treatment methods in medical studies. Each plot shows individual study data with events, total participants, and risk ratios, visually represented by blue squares and lines indicating confidence intervals.   Plot A compares TACE plus TKI plus ICI versus TACE plus TKI, with a total risk ratio of 1.49.   Plot B compares the same treatments with a total risk ratio of 1.27.   Plot C compares TACE plus TKI plus ICI versus TACE, with a total risk ratio of 1.75.   Plot D compares the same treatments with a total risk ratio of 1.41. Each plot includes heterogeneity statistics and overall effect significance.

Figure 2. The forest plot depicts the effect of the combination therapy of transarterial chemoembolization (TACE), tyrosine kinase inhibitors (TKIs), and immune checkpoint inhibi-tors (ICIs) on the ob-jective response rate (ORR) and disease control rate (DCR). (A) ORR and (B) DCR represent comparisons between the TACE + TKIs + ICIs group and the TACE + TKIs group, while (C) ORR and (D) DCR represent comparisons between the TACE + TKIs + ICIs group and the TACE group. The findings demonstrate that the combined therapy of TACE + TKIs + ICIs significantly enhanced ORR and DCR. Each trial is depicted as a square, with its horizontal position re-flecting the degree of the effect size. The termini of the horizontal bars denote the 95% confi-dence interval (CI), while the diamond signifies the aggregate results of all trials.

Regarding DCR, there was moderate heterogeneity (I2 = 53%, p = 0.002) among the 22 studies comparing TACE + TKIs + ICIs combination therapy with TACE + TKIs therapy. Further exploration of the sources of heterogeneity revealed that the studies by Li et al. (35) and Duan et al. (32) had a significant impact on the heterogeneity (Supplementary Figure S1). After excluding these two studies, the remaining studies showed no heterogeneity (I2 = 2%, p = 0.44), and a fixed-effect meta-analysis was conducted. The results indicated that the DCR in the combination therapy group was significantly higher than that in the TACE + TKIs therapy group (RR = 1.27 [95% CI = 1.20–1.34], p < 0.001, Figure 2B). Five studies comparing TACE + TKIs + ICIs vs. TACE monotherapy indicated moderate heterogeneity (I2 = 67%, p = 0.02). Upon examining the origins of heterogeneity, it was shown that the study by Qu et al. (45) significantly influenced heterogeneity (Supplementary Figure S1). After excluding this study, the remaining studies showed acceptable heterogeneity (I2 = 30%, p = 0.23), and a fixed-effect meta-analysis was conducted. The results indicated that the DCR in the combination therapy group was significantly higher than that in the TACE monotherapy group (RR = 1.41 [95% CI = 1.28–1.56], p < 0.001, Figure 2D).

Median overall survival and median progression-free survival

All included studies provided data on mOS and mPFS, but to ensure the accuracy of the analysis results, we only combined studies with a sample size of 50 or more in both the experimental and control groups. Regarding mOS, a total of 10 studies met the inclusion criteria when comparing the TACE + TKIs + ICIs combination therapy with TACE + TKIs therapy. A meta-analysis of these 10 studies indicated heterogeneity (I2 = 48%, p = 0.04). To further explore the sources of heterogeneity, we found that the studies by Li et al. (35) and Lu et al. (36) had a significant impact on heterogeneity (Supplementary Figure S1). The results demonstrated that the mOS in the combination therapy group was significantly higher than that in the TACE + TKIs therapy group (MD = 6.05 months [95% CI = 4.77–7.33], p < 0.001, Figure 3A). Three trials satisfied the inclusion criteria when comparing TACE combined therapy with TKIs and ICIs to TACE monotherapy. A meta-analysis of the three investigations revealed no heterogeneity (I2 = 0%, p = 0.87). The sensitivity analysis indicated robust stability, ensuring the accuracy and reliability of the data (Supplementary Figure S1). A meta-analysis employing a fixed-effect model indicated that the mOS in the combination therapy cohort was considerably greater than that in the TACE monotherapy cohort (MD = 7.84 months [95% CI = 5.44–10.24], p < 0.001, Figure 3C).

Figure 3
Four forest plots (A, B, C, D) compare TACE+TKI+ICI with TACE+TKI or TACE. Each plot shows mean differences with confidence intervals for multiple studies. Panel A and B show heterogeneity and overall effect favoring TACE+TKI+ICI, while panels C and D also suggest a favorable outcome for TACE+TKI+ICI but with different weights and heterogeneity. Graphs indicate the degree of variability across studies and overall effectiveness.

Figure 3. The forest plot illustrates the impact of the combination therapy of transarterial chemoembo-lization (TACE) + tyrosine kinase inhibitors (TKIs) + immune checkpoint inhibitors (ICIs) on median overall survival (mOS) and median progression-free survival (mPFS). (A) mOS and (B) mPFS represent comparisons between the TACE + TKIs + ICIs group and the TACE + TKIs group, while (C) mOS and (D) mPFS represent comparisons between the TACE + TKIs + ICIs group and the TACE group. The results indicate that the combination therapy of TACE + TKIs + ICIs significantly improved mOS and mPFS. Each trial is represented by a square, with the po-sition of the square on the horizontal axis indicating the magnitude of the effect size. The ends of the horizontal bars represent the 95% confidence interval (CI), and the diamond rep-resents the overall results of all trials.

Regarding mPFS, a total of 10 studies fulfilled the inclusion criteria when comparing TACE + TKIs + ICIs combination therapy with TACE + TKIs therapy. A meta-analysis of these 10 studies indicated no heterogeneity (I2 = 24%, p = 0.22), and the sensitivity analysis demonstrated satisfactory stability (Supplementary Figure S1). A meta-analysis using a fixed-effect model showed that the mPFS in the combination therapy group was significantly higher than that in the TACE + TKIs therapy group (MD = 2.93 months [95% CI = 2.57–3.29], p < 0.001, Figure 3B). When comparing TACE combined therapy with TKIs and ICIs to TACE monotherapy, three studies met the inclusion criteria. Nonetheless, there was high heterogeneity among these three studies (I2 = 81%, p = 0.005). The sensitivity analysis failed to distinctly identify the cause of heterogeneity (Supplementary Figure S1). A meta-analysis using a random-effects model showed that the mPFS in the combination therapy group was significantly higher than that in the TACE monotherapy group (MD = 4.63 months, [95% CI = 2.32–6.95], p < 0.001, Figure 3D).

Adverse events

No serious adverse events (grade 4 or higher) or treatment-related deaths were documented in any of the studies. Comprehensive information regarding AEs is presented in Table 3. No significant difference in the risk of adverse events was observed between the combination therapy of TACE + TKIs + ICIs and TACE + TKIs therapy, with the difference lacking statistical significance (any grade: RR = 1.01 [95% CI = 0.97–1.05], p = 0.56; grade 3/4: RR = 1.13 [95% CI = 0.97–1.31], p = 0.11. Patients receiving TACE + TKIs + ICIs combination therapy had an increased risk of the following ≥ 3-grade adverse events: hypothyroidism (RR = 5.44 [95% CI = 1.51–19.59], p = 0.01), rash (RR = 2.17 [95% CI = 1.27–3.71], p = 0.005), pruritus (RR = 3.49 [95% CI = 1.38–8.84], p = 0.008), and hyperbilirubinemia (RR = 3.24 [95% CI = 1.14–9.15], p = 0.03).

Table 3
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Table 3. Summary of treatment-related adverse events.

Compared with TACE monotherapy, patients receiving TACE + TKIs + ICIs combination therapy had an increased risk of the following ≥ 3-grade adverse events: hypertension (RR = 6.43 [95% CI = 2.19–18.83], p < 0.001), diarrhea (RR = 8.33 [95% CI = 1.07–65.02], p = 0.04), and thrombocytopenia (RR = 7.13 [95% CI = 1.31–38.78], p = 0.02).

Prognostic factor analysis for overall survival and progression-free survival

Exploring independent prognostic risk factors affecting OS and progression-free survival (PFS), multivariate analysis (Table 4) revealed that treatment regimen (TACE + TKIs + ICIs/TACE + TKIs/TACE), maximum tumor diameter, Hepatitis B virus (HBV) infection (yes/no), extrahepatic metastasis (present/absent), portal vein tumor thrombus, alpha-fetoprotein level, BCLC stage (C/B), Child–Pugh grade (B/A), and ECOG-PS (1/0) were identified as independent prognostic factors for OS; treatment regimen (TACE + TKIs + ICIs/TACE + TKIs/TACE), maximum tumor diameter, extrahepatic metastasis (present/absent), portal vein tumor thrombus, BCLC stage (C/B), and ECOG-PS (1/0) were identified as independent prognostic factors for PFS. This suggests that the choice of treatment regimen can directly impact the long-term prognosis of patients with unresectable hepatocellular carcinoma.

Table 4
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Table 4. Analyses of prognostic factors for survival.

Subgroup analysis of factors associated with patient survival

Subgroup analysis of OS-influencing factors (Supplementary Figure S2) showed that, compared with TACE plus TKIs combination therapy, the TACE + TKIs + ICIs triple combination therapy conferred significantly superior survival benefits across all patient subgroups—except for those aged ≥ 60 years, HBV-negative patients, individuals with BCLC stage B disease, and those without hepatic venous tumor thrombus. Similarly, subgroup analysis of PFS-related parameters (Supplementary Figure S3) indicated that the TACE + TKIs + ICIs triple combination therapy outperformed TACE plus TKIs combination therapy in all subgroups, with the exception of HBV-negative patients.

Trial sequential analysis

A trial sequential analysis of ORR, DCR, mOS, and mPFS was conducted, with results depicted in Figure 4. The cumulative Z-curves for ORR, DCR, mOS, and mPFS exceeded both the conventional threshold and the TSA threshold, and the cumulative sample size met the expected sample size. The findings demonstrate that this study has recruited an adequate number of patients to derive statistically reliable conclusions and that the combination therapy of TACE + TKIs + ICIs shows statistically significant efficacy differences compared with TACE + TKIs therapy and TACE monotherapy.

Figure 4
The sequential analysis results plots labeled A through H demonstrate whether theaccumulated data reached the required information sum (RIS). The red curve represents the trialsequential analysis (TSA) threshold, the horizontal line denotes the conventional Z-score threshold,the vertical line indicates the RIS, and the blue curve shows the cumulative data analyzed by themeta-analysis. The required information sum (RIS) exhibits significant variation across the plots,indicating that different analyses impose distinct sample size requirements.

Figure 4. For the sequential analysis of outcome measures between TACE + TKIs + ICIs and TACE + TKIs, a fixed-effect model was used to construct cumulative Z-curves, and the expected information volume (RIS) was calculated using the proportion of positive events or the mean difference (MD) and variance in the TACE + TKIs treatment group. (A) ORR; (B) DCR; (E) mOS; (F) mPFS. For the sequential analysis of outcome measures between TACE + TKIs + ICIs and TACE, a fixed-effect model or random-effects model was used to construct cumulative Z-curves based on heterogeneity, and the expected information content (RIS) was calculated using the positive event rate or empirical MD and variance of the TACE + TKIs treatment group. (C) ORR; (D) DCR; (G) mOS; (H) mPFS (analyzed using the random-effects model [SJ]).

Publication bias

An evaluation of publication bias was conducted, utilizing funnel plots in conjunction with Begg’s and Egger’s tests for ORR, DCR, mOS, and mPFS (Supplementary Figure S4). No publication bias was detected between the TACE + TKIs + ICIs combination therapy and TACE + TKIs therapy regarding ORR, mOS, and mPFS, nor between the TACE + TKIs + ICIs combination therapy and TACE monotherapy concerning ORR, DCR, mOS, and mPFS. For DCR between the TACE + TKIs + ICIs combination therapy and TACE + TKIs therapy, the Begg’s test p-value was 0.009, and the Egger’s test p-value was 0.002, indicating publication bias among the selected 20 studies. Subsequently, the asymmetrical funnel plot was processed using the trim-and-fill method, with the results illustrated in Figure 5. The six points within the square indicate the effect sizes of the literature that this study should incorporate in the future. Combined with the funnel plot (Supplementary Figure S4), it can be seen that it is necessary to continue including results from six similar studies, including those by Wu et al., Gao et al., Wang et al., and Yang et al. (33, 41, 43, 4951) to eliminate publication bias.

Figure 5
The trim-and-fill plot demonstrates the effect sizes of the literatures that need to beincluded in the future to eliminate publication bias. The effect sizes of the six proposed studiesshould be similar to those of the studies labeled with names and years in the plot (e.g., WangMingxing 2025, Gao Ya 2023).

Figure 5. The funnel plot with trim-and-fill for DCR (TACE + TKIs + ICIs vs. TACE + TKIs).

Discussion

This meta-analysis assessed the effectiveness and safety of TACE combined with TKIs and ICIs for patients with uHCC. The results indicated that the combination of TACE with TKIs and ICIs considerably enhanced the ORR and DCR, while extending mPFS and mOS, in comparison with TACE plus TKIs therapy and TACE monotherapy. The TSA validated that this study possessed an adequate sample size to derive pertinent findings. This demonstrates that the combination therapy of TACE plus TKIs and ICIs significantly prolongs survival and improves quality of life in patients with uHCC following diagnosis. These findings are consistent with the results reported by Han et al., Gao et al., Lin et al., and Liu et al. (3739, 52). Combination therapy offers enhanced survival advantages, with the potential mechanisms detailed below. First, TACE induces tumor ischemia and necrosis by embolizing the tumor’s vascular supply, triggering the release of large quantities of tumor-associated antigens. During tumor cell necrosis, metabolic disruption occurs, releasing intracellular lipids, cholesterol, and other substances into the microenvironment. These metabolites act as immunometabolic signals, activating immune effector cells such as T cells and establishing the foundation for immune responses to ICIs. Additionally, the hypoxic and inflammatory milieu following TACE stimulates tumor cells to release large numbers of vesicles bearing PD-L1 on their surfaces. These vesicles circulate throughout the body via the bloodstream, remotely suppressing T-cell function at distant sites. ICIs neutralize PD-L1 on circulating vesicles, thereby reversing vesicle-mediated remote immunosuppression and restoring the body’s antitumor immune response, ultimately reducing the risk of distant tumor metastasis (5355). Second, TKIs can exacerbate tumor hypoxia and impede tumor angiogenesis while also normalizing the vascular architecture within cancer tissue, thereby facilitating improved infiltration of immune cells into the tumor and producing synergistic antitumor effects with ICIs (24, 56, 57).

After conducting a meta-analysis of all studies included in this review, it was found that treatment regimen, maximum tumor diameter, extrahepatic metastasis, portal vein tumor thrombus, and ECOG-PS were all independent prognostic factors for OS and PFS in uHCC patients, consistent with previous studies (32, 35, 37). Subgroup analysis results indicate that the combination therapy of TACE plus TKIs and ICIs can prolong survival in patients who are HBV-positive, have BCLC stage C disease, and exhibit hepatic venous cancer thrombus. Gao et al. reported that the combination of TACE + TKIs + ICIs resulted in a more significant OS benefit for patients with tumor diameter ≥ 5 cm and BCLC stage C, as well as a superior PFS benefit for patients who are HBV positive, have tumor diameter ≥ 5 cm, and exhibit extrahepatic metastases compared with TACE monotherapy (37). Cai et al. indicated that combination therapy offers enhanced overall survival advantages for patients with more than three tumors or extrahepatic metastases, in contrast to TACE plus TKIs therapy (29). The CHANCE001 research has shown that, compared with TACE monotherapy, triple treatment can prolong PFS and OS for patients with extrahepatic metastases and macroscopically evident portal vein invasion (58). A potential explanation is that TACE therapy efficiently manages intrahepatic lesions but is less efficacious against extrahepatic metastatic lesions, whereas the combination of immunotherapy and targeted therapy can effectively mitigate this therapeutic limitation. Consequently, the combination therapy strategy of TACE, TKIs, and ICIs is essential for uHCC patients, especially those with HBV-positive, BCLC stage C disease, tumor diameter ≥ 5 cm, extrahepatic metastases, and portal vein tumor thrombi, as it offers enhanced survival benefits.

This study demonstrated that the combined therapy of TACE, TKIs, and ICIs was associated with an increased risk of ≥ 3-grade adverse events compared with the other two treatment modalities, including hypothyroidism, rash, pruritus, hyperbilirubinemia, hypertension, diarrhea, and thrombocytopenia. Notably, the findings of this meta-analysis indicated no significant difference in the risk of adverse events of all grades between TACE + TKIs + ICIs therapy and TACE + TKIs therapy. Additionally, none of the included studies reported severe adverse reactions (grade 4 or higher) or treatment-related deaths. A study by CHANCE001 revealed that the occurrence of adverse events in the combination therapy group was marginally elevated compared to the monotherapy group; nevertheless, no grade 5 adverse events were recorded, and the majority of adverse events were easily controlled (58). These findings indicate that, although combination therapy inevitably increases the risk of adverse events relative to other treatments, the severity is predominantly mild to moderate, easily managed or reversible, and within an acceptable range.

The pooled analysis results for mPFS between TACE combined with TKIs and ICIs vs. TACE monotherapy exhibit considerable heterogeneity, attributable to several factors. To ensure the precision of the pooled analysis, we exclusively incorporated studies with sample sizes of 50 or more in both the experimental and control groups, which limited the number of included studies and contributed to heterogeneity. Moreover, although TACE is a conventional therapy for unresectable hepatocellular carcinoma, individualized treatment approaches are frequently used in clinical settings, resulting in considerable variation in drug combinations and treatment protocols across different medical institutions. These differences in TACE regimens likely contributed to the observed heterogeneity.

This meta-analysis has several limitations. First, only one of the included studies was a prospective cohort study; the rest were retrospective cohort studies, which may be susceptible to selection and recall bias. Consequently, extensive, high-quality randomized controlled trials are needed to provide more reliable evidence. Second, owing to the limited availability of data, this study did not perform a subgroup analysis of survival-related factors between the TACE + TKIs + ICIs combination therapy and TACE monotherapy. Finally, because the participants in the analyzed studies were predominantly from Asian populations, the results may not be relevant to Western ones. Additional research, including Western populations, is therefore essential to validate these findings across other racial and geographic groups and to evaluate the effectiveness of this combination therapy in diverse demographics.

Conclusions

This meta-analysis demonstrates that, compared with TACE plus TKI therapy and TACE monotherapy, the combination therapy of TACE plus TKIs and ICIs provides superior clinical benefits for patients with unresectable hepatocellular carcinoma. It prolongs overall survival and exhibits an acceptable safety profile. We recommend TACE combined with TKIs and ICIs as the preferred treatment option for patients meeting the following criteria: HBV-positive, BCLC stage C, maximum tumor diameter ≥ 5 cm, presence of extrahepatic metastases, and portal vein tumor thrombus. In the future, with the discovery of new immune targets and pathways, such as TIGIT and CD155, combination therapies for hepatocellular carcinoma may achieve further breakthroughs, offering improved clinical treatment benefits (59).

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author contributions

KY: Conceptualization, Data curation, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing. JZ: Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing. JL: Supervision, Writing – original draft, Writing – review & editing, Data curation, Methodology. YZL: Data curation, Supervision, Writing – original draft, Writing – review & editing, Methodology. YSL: Data curation, Writing – original draft, Writing – review & editing. FX: Methodology, Supervision, Writing – original draft, Writing – review & editing.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Conflict of interest

The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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The author(s) declared that generative AI was not used in the creation of this manuscript.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2025.1707622/full#supplementary-material

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Keywords: hepatocellular carcinoma, TACE, tyrosine kinase inhibitors, immune checkpoint inhibitors, meta-analysis

Citation: Ye K, Zhou J, Lin J, Li Y, Luo Y and Xie F (2025) Efficacy of TACE plus tyrosine kinase inhibitors and immune checkpoint inhibitors in patients with unresectable hepatocellular carcinoma: a systematic review and meta-analysis. Front. Oncol. 15:1707622. doi: 10.3389/fonc.2025.1707622

Received: 17 September 2025; Accepted: 25 November 2025; Revised: 19 November 2025;
Published: 11 December 2025.

Edited by:

Ran Wei, Sun Yat-sen University Cancer Center (SYSUCC), China

Reviewed by:

Danni Li, The First Hospital of China Medical University, China
Jieling Weng, Second Affiliated Hospital of Guangzhou Medical University, China

Copyright © 2025 Ye, Zhou, Lin, Li, Luo and Xie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fei Xie, d2hpdGV0b3dlckAxNjMuY29t

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.