Abstract
Background and Aims:
Macrovascular invasion (MaVI) defines advanced-stage hepatocellular carcinoma (HCC) and typically mandates systemic therapy, yet some guidelines advocate surgery or locoregional approaches. We conducted a systematic review and meta-analysis of overall survival (OS) in HCC with MaVI treated with approaches other than systemic therapy, enforcing stringent inclusion criteria to exclude studies lacking a minimal prognostic dataset and to improve cohort comparability.
Approach and Results:
PRISMA-guided methods were used (CRD420251051847). PubMed was searched (January 2008 to November 2024). Eligible studies reported OS for HCC with MaVI and provided baseline performance status and liver function; studies without adequate prognostic information were excluded. Data on OS at 1, 2, 3, and 5 years were extracted, and heterogeneity was assessed. Seventy-three studies met criteria (104 treatment arms; 10,329 patients). Despite a rigorous identification process, substantial heterogeneity persisted for most modalities (I 2>80%), precluding robust pooling. Transarterial radioembolization (TARE) monotherapy was the only treatment with low heterogeneity (I 2=0%) and showed a pooled 1-year OS of 34% (95% CI: 20%–48%). Apparent advantages of sequential strategies likely reflected confounding by indication and immortal-time bias, as only patients who lived long enough and were sufficiently fit proceeded through the full sequence. Data completeness declined beyond 12 months (missing OS: 0% at 1 y; 17.3% at 2 y; 32.7% at 3 y; 70.2% at 5 y).
Conclusions:
In HCC with MaVI, 1-year OS is the most comparable endpoint across modalities. This analysis identifies TARE as the only consistently reproducible option, showing a 1-year survival of 34%. In contrast, surgery and sequential therapies remain confounded by substantial heterogeneity. Accordingly, stratified head-to-head trials comparing alternative modalities against immunotherapy are warranted.
Keywords: EBRT, portal vein tumor thrombus, resection, TACE, TARE

INTRODUCTION
Macrovascular invasion (MaVI) is a key prognostic driver defining advanced hepatocellular carcinoma (HCC) within the Barcelona Clinic Liver Cancer (BCLC) staging system.1,2 Since the first BCLC version, the BCLC-C stage included patients with preserved liver function, mild tumor-related symptoms (ECOG-PS 0 to 2), and extrahepatic spread, defined by the presence of MaVI and/or metastases to other organs.
Over the past 2 decades, the introduction of systemic therapies for advanced HCC—such as sorafenib3 and lenvatinib4—and, more recently, immunotherapy-based regimens5–8 has improved overall survival (OS) in this population and has intensified the discussion about outcomes across different levels of MaVI involvement.9 Indeed, the REFLECT4 and HIMALAYA6 trials excluded patients with adverse prognostic features—for example, REFLECT4 excluded those with HCC occupying ≥50% of liver volume, clear bile duct invasion, or main portal vein invasion (Vp4), while HIMALAYA6 excluded patients with main portal vein thrombosis. Other common exclusion criteria across pivotal studies included impaired liver function (Child–Pugh class B or C) and poor performance status (ECOG ≥2). While pivotal trials and real-world data have validated the survival benefits of immunotherapy, evidence supporting other treatment options—including resection, transplantation, locoregional therapies, and radiotherapy—remains highly heterogeneous. This heterogeneity underlies the discrepancies observed across guidelines from scientific associations.
Indeed, whereas western clinical practice guidelines (CPGs) for HCC recommend systemic therapy for patients with advanced disease—or for those who are not candidates for other therapies but retain preserved liver function and performance status10–13—guidelines from China, Japan, Korea, and, in highly selected cases, Italy, support the use of surgery or locoregional therapies as first-line options in this population.14–17
These discrepancies highlight the need for a deeper analysis of the reported survival data in this population, with particular attention to the limitations and potential insights of the published evidence. Recognizing this gap, we designed a systematic review and meta-analysis to assess survival at 1, 2, 3, and 5 years in HCC patients with MaVI who received at least one locoregional therapy or surgery as initial treatment and no systemic therapy.
METHODS
Search strategy and selection criteria
The protocol for this systematic review is registered in the PROSPERO database (registration number CRD420251051847) and was developed following PRISMA recommendations.18
We searched PubMed from January 1, 2008, until November 28, 2024, by formulating keyword searches. The exact query formulated in Pubmed was as follows: (((hepatocellular carcinoma) OR (liver cancer) or (HCC)) AND ((portal thrombosis) or (portal invasion) OR (macrovascular invasion) or (portal vein thrombus) or (portal vein thrombosis))) AND ((radioembolization) OR (tare) OR (surgery) OR (surgical) OR (resection) or (tace) or (chemoembolization) or (sbrt) or (sirt) or (selective intraarterial radiation therapy) or (stereotactic body radiotherapy) or (external radiotherapy) or (systemic therapy) OR (sorafenib) OR (atezolizumab) OR (bevacizumab) OR (durvalumab) OR (tremelimumab) OR (lenvatinib) OR (ipilimumab) OR (nivolumab)), filtered by language (“English”), specie (“Human”), and age (“Adult: 19+ years”). We included systemic treatment in the initial search to capture all studies that, in addition to having a systemic treatment arm, also included a locoregional treatment arm. Duplicate records were eliminated.
Two reviewers (Marta Fortuny and Elisaul Suárez) independently selected potentially relevant studies based on title and abstract reading. Full-text articles were then gathered and assessed for eligibility by the same 2 independent reviewers with the support of 2 other researchers (Ignacio Roca and Antonio De Rosa). In case of discrepancies, consensus was reached after discussion with the senior author (Maria Reig). To be eligible, original articles had to report: liver function, general status (ECOG-PS or Karnofsky), or BCLC staging and survival outcomes. We excluded case series, original articles in which patients had received prior therapy, or studies in which patients received concomitant systemic therapy. Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia, available at www.covidence.org) was used to import references and manage screening and full-text review.
This study is a meta-analysis based on aggregated data from previously published studies. No individual participant data were collected, accessed, or analyzed, and there was no direct interaction with human subjects. Accordingly, no institutional ethics committee review was sought or conducted, and no informed consent procedures were performed for this study.
Outcome of interest
The primary outcome of interest was the 1-, 2-, 3-, and 5-year survival rates of HCC and MaVI, treated with therapeutic approaches other than systemic therapy as the initial treatment.
Study definitions
We classified the type of treatment into Monotherapy if the patients received one treatment different from systemic treatment as a first-line option (1L) within the original study. Combination if patients received 2 or more types of 1L simultaneously and pre-planned before starting the combination, and Sequential if the patients received 2 or more treatments temporally separated as 1L without a pre-planned or predefined strategy. Combination treatment was classified as “Combination Treatment A” if it included transarterial chemoembolization (TACE) plus radiotherapy administration; “Combination Treatment B” when it included TACE plus surgery or ablation, and “Combination Treatment C” if it included hepatic arterial infusion chemotherapy (HAIC) administration. This grouping is based on the most frequent treatment combinations in the studies included.
Sequential treatment was divided into those studies in which the first approach was external radiotherapy (EBRT), those in which the first approach was TACE, and those in which surgery was the first treatment performed.
Statistical analysis
For the meta-analyses, we included treatment arms that involved at least 2 studies. Descriptive statistics summarize categorical variables as frequencies (percentages) and numerical variables as median (IQR). Bivariate comparisons across treatment modalities (monotherapy/combination/sequential) employed parametric/non-parametric tests and standardized mean differences (SMD). Both descriptives and bivariate tests were weighted by the number of subjects in each arm/study.
The primary outcome, 1-year survival rate, was imputed via exponential approximation, and standard errors were calculated using Greenwood’s formula.
Random-effects meta-analysis was conducted using restricted maximum likelihood (REML) estimation via the metafor package in R, with the study as a random effect. Robust standard errors (clubSandwich package; study-as-cluster) and 95% CIs were reported. Heterogeneity was assessed using I 2, Q, and tau (τ) estimators.
RESULTS
Characteristics of the included studies
Our literature searches included 1862 articles. After deduplication, we identified 1852 titles/abstracts, assessed 500 full texts, and deemed 75 studies eligible for analysis.
We ultimately analyzed 73 studies (Supplemental Material Table S1, http://links.lww.com/HEP/K335) after excluding treatment arms represented by fewer than 2 studies. Details of the inclusion process and reasons for exclusion are shown in Figure 1.
FIGURE 1.

Flow of information through the different phases of the systematic review and meta-analysis, showing the number of records identified, screened, excluded (with reasons), and included in the final analysis. Abbreviations: BCLC, Barcelona Clinic Liver Cancer; ECOG, Eastern Cooperative Oncology Group; PS, performance status.
Seventy-three studies (104 treatment arms) enrolled 17,463 patients; 59.1% (n=10,329) had MaVI. Most studies were retrospective (79.5%) and single-center (91.8%). Study characteristics are summarized in Table 1.
TABLE 1.
Characteristics of the studies included at the study level
| N (%) | ||
|---|---|---|
| Number of studies | 73 | |
| Total number of patients | 17,463 | |
| Patients with MaVI | 10,329 (59.1) | |
| Year of publication | 2015–2024 | 50 (68.5) |
| 2009–2014 | 23 (31.5) | |
| Study design | Retrospective | 58 (79.5) |
| Prospective | 9 (12.3) | |
| Randomized clinical trial | 6 (8.2) | |
| Multicentric/unicentric | Unicentric | 67 (91.8) |
| Multicentric | 6 (8.2) | |
| Region | Asia | 61 (83.6) |
| North America | 6 (8.2) | |
| Europe | 5 (6.8) | |
| More than one continent | 1 (1.4) |
Abbreviations: N, number; MaVI, macrovascular invasion.
Most of the patients included were Child–Pugh A or B (weighted median 100%) and had an ECOG-PS ≤2 (weighted median 100%). The median of Child–Pugh B patients was 16.9% (7.8–34.9) with 27.9% of missing data. Regarding the extension of MaVI, 34.8% of the patients had involvement of the main trunk of the portal vein (35.6% of missing data). The main characteristics of the patients included are shown in Table 2.
TABLE 2.
Characteristics of the patients included in the 73 studies
| Percentages [IQR]a | Missing data (%) | |
|---|---|---|
| Cirrhosis (%) | 81.4 [60.8–89.9] | 60.8 |
| Child–Pugh A–B (%) | 100.0 [100.0–100.0] | 0.0 |
| Hepatitis infection B (%) | 83.8 [77.2–88.2] | 37.5 |
| ECOG 0–2 (%) | 100.0 [100.0–100.0] | 0.0 |
| Vp≤3 (%) | 63.8 [50.2–95.7] | 35.6 |
| Vp4 (%) | 34.8 [0.0–48.5] | 35.6 |
| Patients with distant metastasis (%) | 0.0 [0.0–14.5] | 27.9 |
| Patients who received further therapy (%) | 3.9 [0–64.9] | 65.4 |
Percentages estimated using the weighted median and IQR by the number of patients with thrombosis in each arm.
Abbreviations: ECOG, Eastern Cooperative Oncology Group; IQR, Interquartile range; Vp, portal vein invasion according to the Liver Cancer Study Group of Japan classification.
By approach, monotherapy was most common (62 arms), followed by combination therapy (30 arms) and sequential therapy (12 arms).
The Monotherapy approach included 6,404 patients. The most frequent monotherapy was TACE (50% of monotherapy arms; n=3,881), followed by surgery (27.4%; n=1654) and EBRT (9.7%; n=420).
Combination A comprised 2,382 patients; the most frequent regimen was TACE and EBRT (63.2% of arms; n=2,094). Combination B comprised 462 patients (TACE and ablation, n=228; TACE and surgery, n=234), with each regimen representing 50% of arms. Combination C comprised 326 patients; most received TACE and HAIC (n=306; 80% of arms).
Regarding Sequential therapy, 562 patients started with TACE before another therapy, and 193 started with EBRT.
Details of treatment approaches are summarized in Table 3.
TABLE 3.
Type of treatment approaches: monotherapy, combination, and sequential treatment
| Treatment | Number of treatment arms (%) | Total of patients with MaVI | |
|---|---|---|---|
| Monotherapy (62 treatment arms) | TACE | 31 (29.8) | 3,881 |
| Surgery | 17 (16.3) | 1,654 | |
| EBRT | 6 (5.8) | 420 | |
| TARE | 5 (4.8) | 357 | |
| HAIC | 3 (2.9) | 92 | |
| Combination (30 treatment arms) | Combination treatment A | 19 (18.3) | 2,382 |
| TACE & EBRT | 12 (11.5) | 2,094 | |
| TACE & brachytherapy | 6 (5.8) | 258 | |
| TACE & EBRT & HAIC | 1 (1.0) | 30 | |
| Combination treatment B | 6 (5.8) | 462 | |
| TACE & Surgery | 3 (2.9) | 234 | |
| TACE & Ablation | 3 (2.9) | 228 | |
| Combination treatment C | 5 (4.8) | 326 | |
| TACE & HAIC | 4 (3.8) | 306 | |
| HAIC & Ablation | 1 (1.0) | 20 | |
| Sequential (12 treatment arms) | Starting with TACE | 6 (5.7) | 562 |
| TACE → EBRT | 2 (1.9) | 88 | |
| TACE → TACE | 1 (1.0) | 192 | |
| TACE → Surgery | 1 (1.0) | 186 | |
| TACE → Brachytherapy | 1 (1.0) | 77 | |
| TACE → Ablation | 1 (1.0) | 19 | |
| Starting with EBRT | 6 (5.7) | 193 | |
| EBRT→ Surgery | 2 (1.9) | 94 | |
| EBRT → TACE | 2 (1.9) | 49 | |
| EBRT → HAIC | 1 (1.0) | 43 | |
| EBRT → HAIC → Surgery | 1 (1.0) | 7 |
Abbreviations: EBRT, external beam radiotherapy; HAIC, hepatic arterial infusion chemotherapy; MaVI, macrovascular invasion; TACE, transarterial chemoembolization; TARE, transarterial radioembolization.
Data completeness and crude survival
Overall crude survival rates (weighted median [IQR] of all values) were 45% [37–54] at 1 year, 21.9% [13–27.6] at 2 years, 15% [9.9–23] at 3 years, and 11% [6.9–20.1] at 5 years (Table 4). At 1 year, crude OS was 45% [33–55] for monotherapy, 46% [44–48] for combination therapy, and 52% [33–76] for sequential therapy. Missing data for OS were 0% at 1 year, 17.3% at 2 years, 32.7% at 3 years, and 70.2% at 5 years (Figure 2 and Figure S1 of the Supplementary Material, http://links.lww.com/HEP/K335). Five-year OS by treatment type was not evaluated owing to the high proportion of missing data; other values are provided in Table S2 of the Supplementary Material, http://links.lww.com/HEP/K335.
TABLE 4.
Crude overall survival rates
| Survival rate [IQR]a (%) | Missing data (%) | |
|---|---|---|
| At 1 y | 45.0 [37.0–54.0] | 0.0 |
| At 2 y | 21.9 [13.0–27.6] | 17.3 |
| At 3 y | 15.0 [9.9–23.0] | 32.7 |
| At 5 y | 11.0 [6.9–20.0] | 70.2 |
Survival rates were estimated using the weighted median and IQR by the number of patients with thrombosis in each arm.
Abbreviations: IQR, interquartile range, y, year.
FIGURE 2.

Boxplots of 1-year survival rates in patients with MaVI by treatment modality (monotherapy, combination, sequential). The purpose of Figure 2 is to illustrate the heterogeneity across interventions. Abbreviation: MaVI, macrovascular invasion.
Meta-analysis using a linear mixed-effects model: overall and by treatment approach
Overall, the pooled 1-year survival was 46% (95% CI 41–51) with substantial heterogeneity (I 2=95%) (Table 5).
TABLE 5.
Meta-analysis using linear mixed-effects model: treatment effects by group and overall
| Survival at 1 year, % (95% CI) | p | I 2 (%) | Q | Tau (τ)2 | |
|---|---|---|---|---|---|
| TACE | 42 (33–50) | <0.0001 | 97.1 | 1155.4 | 0.049 |
| Surgery | 54 (42–66) | <0.0001 | 96.1 | 722.2 | 0.050 |
| EBRT | 31 (12–51) | 0.009 | 91.4 | 65.4 | 0.030 |
| HAIC | 55 (1–99.9) | 0.048 | 82.6 | 8.5 | 0.039 |
| TARE | 34 (20–48) | 0.013 | 0 | 3.2 | 0.000 |
| Combination treatment Aa | 46 (37–54) | <0.0001 | 92 | 129.7 | 0.023 |
| Combination treatment Bb | 42 (17–67) | 0.008 | 96.8 | 397.9 | 0.056 |
| Combination treatment Cc | 51 (11–91) | 0.027 | 95.2 | 70.5 | 0.063 |
| Sequence starting with EBRT | 79 (63–94) | 0.001 | 89.2 | 51.0 | 0.034 |
| Sequence starting with TACE | 49 (24–73) | 0.004 | 95.6 | 193.8 | 0.050 |
| Overall | 46 (41–51) | <0.0001 | 95.7 | 4156.9 | 0.047 |
Combination treatment A: TACE plus radiotherapy administration.
Combination treatment B: TACE plus surgery or ablation.
Combination treatment C: If treatment included hepatic arterial infusion chemotherapy (HAIC) administration.
Abbreviations: EBRT, external beam radiotherapy; HAIC, hepatic arterial infusion chemotherapy; TACE, transarterial chemoembolization; TARE, transarterial radioembolization.
By single-modality treatment, heterogeneity exceeded 80% for all modalities except TARE (I 2=0%), which involved 5 treatment arms and 357 patients. For TARE, Q=3.19, p=0.527, and τ 2=0.000. The pooled 1-year survival was 42% (95% CI 33–50) for TACE, 52% (95% CI 42–66) for surgery, 31% (95% CI 12–51) for EBRT, 55% (95% CI 1–100) for HAIC, and 34% (95% CI 20–48) for TARE.
For combination therapy, heterogeneity was high (Combination A, I 2=92%; Combination B, I 2=96.8% and Combination C, I 2=95.2%). The pooled 1-year survival was 46% (95% CI 37–54), 42% (95% CI 17–67), and 51% (95% CI 11–91), respectively; given the heterogeneity, these estimates are not readily interpretable.
In sequential therapy starting with EBRT, heterogeneity was I 2=89.2% and the pooled 1-year survival was 79% (95% CI 63–94). In sequential therapy starting with TACE, heterogeneity was I 2=95.9% and the pooled 1-year survival was 49% (95% CI 24–73).
Quality assessment
Results of the quality assessment of the included studies are summarized in Table S3 of the Supplementary Material, http://links.lww.com/HEP/K335.
DISCUSSION
This systematic review and meta-analysis show that evidence on OS with non-systemic treatments for HCC with MaVI is insufficient to deliver firm recommendations to provide clinical benefit as compared with systemic therapy. Across modalities, the only endpoint with consistently complete and comparable data was 1-year OS; longer-term estimates were undermined by missing data. Most included studies were from Asia—often surgical series—and even there, only 1-year outcomes were free of missing data. Given that untreated MaVI carries a median OS of ~10–12 months,19–22 1-year survival remains the most informative benchmark.
Within this context, TARE was the only modality with reproducible results, showing low heterogeneity (I 2=0%; Q=3.19; p=0.527; τ 2=0.000) and a pooled 1-year OS of 34% (95% CI, 20–48%). All other approaches displayed substantial heterogeneity (I 2>80%), consistent with treatment-selection effects rather than true differences in efficacy.
Two randomized trials have not demonstrated TARE superiority over sorafenib.23,24 With immunotherapy now standard, head-to-head trials of TARE versus immunotherapy—stratified by MaVI extent and baseline prognostic factors—are urgently needed, furthermore considering the technical and dosimetry advances in recent years as was reported by Garin et al.25 At present, evidence specific to MaVI under immunotherapy derives primarily from subgroup or exploratory analyses of pivotal trials (eg, HIMALAYA, IMbrave150)26–28 and from observational cohorts.
Among recent observational data, 2 Japanese cohorts of patients treated with atezolizumab–bevacizumab are informative.29,30 In a JLCA/JSHBPS-based analysis, Matono et al.29 reported OS of 86.2%, 65.8%, 44.1%, and 35.0% at 6, 12, 18, and 24 months in patients with MaVI defined as Vp2–3, Vv2, or B2–3; rates were 73.3%, 43.6%, 18.7%, and 18.7% in those with major vascular invasion (Vp4, Vv3, B4). Komatsu et al.30 found 1- and 2-year OS of 62.7% and 49.3%, with strong modulation by liver function (2-year OS 78.6% for mALBI 1/2a vs. 20.0% for mALBI 2b/3; p=0.0041). These data underscore liver function as a key determinant of outcome and help explain the rising rates of missing data for long-term OS in the present meta-analysis (0% at 1 y; 17.3% at 2 y; 32.7% at 3 y; 70.2% at 5 y).
Although the 12-month TARE estimate in the present meta-analysis appears lower than the OS rates reported by Matono et al.29 and Komatsu et al.,30 differences in cohort composition, treatment modality, and outcome definitions—combined with wide confidence intervals—preclude valid indirect comparisons. At most, our findings suggest a lower TARE point estimate for 1 year that should be interpreted with caution.
Selection bias also complicates comparisons between surgery and systemic therapy. Two large observational series illustrate this problem.30,31 Famularo et al.31 reported marked baseline imbalances—portal vein thrombosis grade (Vp1–Vp3), cirrhosis prevalence, and ECOG performance status—between patients treated with resection versus sorafenib; inverse-probability-of-treatment weighting (IPTW) was required to improve balance and approximate comparable cohorts. Likewise, Komatsu et al.30 analyzed patients after excluding extrahepatic metastases and restricting the cohort to MaVI with multinodular disease. Despite a more favorable baseline profile in the resection group, median OS was 14.8 months after hepatectomy versus 31.9 months with first-line systemic therapy (lenvatinib; atezolizumab–bevacizumab; durvalumab–tremelimumab). Taken together, these data suggest that apparent survival advantages with surgery largely reflect treatment selection and tend to dissipate when disease extent and liver function are adequately accounted for, even after propensity-score methods (PSM/IPTW).
In the absence of randomized comparative evidence, uncertainty should be explicitly acknowledged, and adjusted estimates should not be overinterpreted. Retrospective analyses remain intrinsically vulnerable to residual and unmeasured confounding—even after propensity-score matching or IPTW—because treatment allocation follows center-specific pathways: resection is prioritized for operable candidates, whereas systemic therapy is selected when tumor location, vascular-invasion pattern, liver function, comorbidities, or patient preference preclude surgery. These nonrandom processes violate exchangeability and can persist despite sophisticated adjustment, limiting the causal interpretability of between-modality comparisons and justifying the design of an individual patient data meta-analysis. This is precisely the type of scenario for which the 2025 BCLC update32 recommends applying the CUSE framework (Complexity, Uncertainty, Subjectivity, Emotion) to make uncertainty explicit and structure shared, evidence-anchored decisions.
Methodologically, we excluded 425 studies (85%) at the identification stage for lacking minimal baseline data on ECOG, performance status, and liver function, yet residual confounding remains likely. Some cohorts may not have been fully treatment-naïve, others do not report subsequent therapy, and missing OS at later time points may reflect unregistered deaths or incomplete reporting. Both scenarios highlight that current evidence for non-systemic strategies is constrained by data completeness and selection. These limitations are explicitly recognized in the BCLC 2025, which included the CUSE (Complexity, Uncertainty, Subjective and Emotions) framework.32,33
The CUSE framework links evidence to clinical reality. It prioritizes treatments aligned with patient goals and context, accounts for patient factors and availability, and acknowledges emotions without letting them drive decisions. Consequently, until reliable biomarkers and randomized, stratified head-to-head trials are available, treatment selection should be guided by objective liver function and disease anatomy within well-defined MaVI strata. Non-systemic approaches should be considered cautiously, given the risk of not matching the survival achievable with immunotherapy.
Our study has some limitations. As previously discussed, the results of this aggregate-data meta-analysis do not allow for definitive conclusions regarding the efficacy of different locoregional or surgical treatments in patients with MaVI. The substantial heterogeneity observed across most treatment approaches, except for TARE, likely reflects differences in treatment selection based on patient-specific factors.
CONCLUSIONS
Among patients with advanced HCC and MaVI, 1-year OS remains the most reliable endpoint for cross-modality comparisons. Transarterial radioembolization shows consistent 1-year results but no proven benefit over sorafenib in randomized trials, and superiority or non-inferiority to contemporary immunotherapy-based regimens remains unproven. Pending stratified head-to-head comparisons versus immunotherapy-based regimens and validated predictive markers, use of TARE should be individualized to objective liver function and vascular anatomy within predefined MaVI strata, ideally within clinical trials or multidisciplinary care pathways, and after considering systemic therapy as the standard of care.
Supplementary Material
AUTHOR CONTRIBUTIONS
Marta Fortuny: conceptualization of the work, acquisition and interpretation of the data, drafting and reviewing the work, and final approval of the version to be published. Antonio De Rosa: acquisition and interpretation of the data, drafting and reviewing the work, and final approval of the version to be published. Ignacio Roca and Elisaul Suárez: acquisition of the data, critical review of the work, and final approval of the version to be published; Dan Ouchi and Andrea Cadiz: analysis of the data, critical review of the work, and final approval of the version to be published; Mario Matute-González, Andrew M. Moon and Jordi Rimola: interpretation of the data, critical review of the work, and final approval of the version to be published. Ferran Torres: conceptualization of the work, analysis and interpretation of the data, critical review of the work, and final approval of the version to be published. Maria Reig: conceptualization of the work, interpretation of the data, drafting and reviewing the work, and final approval of the version to be published.
FUNDING INFORMATION
Marta Fortuny: Centro de Investigación Biomédica en Red CIBER (Immune4All-PMP22/00054), by the Spanish Association Against Cancer (AECC, PRYCO234831) and Proyecto de Investigación en salud del Instituto de Salud Carlos III PI25/00197. Maria Reig: Asociación Española Contra el Cáncer—Ayuda Proyectos Coordinados AECC 2023 (PRYCO234831REIG); Proyectos de Investigación en Medicina Personalizada de Precisión de la Acción Estratégica en Salud 2021–2023 del Ministerio de Ciencia e Innovación (Immune4all-PMP22/00054); Proyecto de Investigación en salud del Instituto de Salud Carlos III PI18/00358; Proyecto de Investigación en salud del Instituto de Salud Carlos III PI22/01427; Proyecto de Investigación en salud del Instituto de Salud Carlos III PI25/00197; Grant from BMS to obtain degree in Immuno-oncology from the School of Medicine, Navarra University 2016–2017.
CONFLICTS OF INTEREST
Marta Fortuny is on the speakers’ bureau for AstraZeneca. Dan Ouchi consults for Archivel. Andrew M. Moon consults for Intercept, Eisai, AstraZeneca, and IDEOlogy. He received grants paid to the institution from DCN Diagnostics and Madrigal. Jordi Rimola advises and received grants paid to the institution from Roche and AstraZeneca. He advises Universal DX. He has other interests in Siemens. Ferran Torres consults for and is on the DSMB for Archivel. He consults for Universal DX, Ferrer, Boehringer Ingelheim, LEO Pharma, and FAES. He is on the DSMB for Argenx BV, Connecta, and RemAb Therapeutics. Maria Reig consults for, advises, is on the speakers’ bureau for, received grants from, and has other interests in AstraZeneca, Bayer, BMS, Roche, and Lilly. She consults for, advises, received grants from, and has other interests in Ipsen. She consults for, advises, and has other interests in Boston Scientific and Merck. She consults for and advises Geneos, Universal DX, Engitix Therapeutics, Parabilis Medicines, and Boehringer Ingelheim. She is on the speakers’ bureau for Gilead, Biotoscana, and GKL. She has other interests in AbbVie, Adaptimmune, Nerviano, Medivir, Incyte, Eisai, Terumo, Next, Ciscar Medical, and Eventy C3 LLC (Egypt). The remaining authors have no conflicts to report.
Footnotes
Marta Fortuny and Antonio De Rosa are the first co-authors.
Ignacio Roca, Dan Ouchi, and Elisaul Suárez are the second co-authors.
Abbreviations: 1L, first-line option; B, bile duct invasion according to Liver Cancer Study Group of Japan classification; BCLC, Barcelona Clinic Liver Cancer; CPGs, clinical practice guidelines; CUSE, Complexity, Uncertainty, Subjectivity, Emotion; EBRT, external radiotherapy; ECOG-PS, Eastern Cooperative Oncology Group-Performance Status; HAIC, hepatic arterial infusion chemotherapy; HCC, hepatocellular carcinoma; IPTW, inverse-probability-of-treatment weighting; mALBI, modified ALBI; MaVI, macrovascular invasion; OS, overall survival; PSM propensity-score methods; SMD, standardized mean difference; TACE, transarterial chemoembolization; TARE, transarterial radioembolization; Vp, portal vein invasion according to Liver Cancer Study Group of Japan classification; Vv, hepatic vein invasion according to Liver Cancer Study Group of Japan classification.
Supplemental Digital Content is available for this article. Direct URL citations are provided in the HTML and PDF versions of this article on the journal's website, www.hepjournal.com.
Contributor Information
Marta Fortuny, Email: mfortunyb@clinic.cat.
Antonio De Rosa, Email: antonio.derosa@iov.veneto.it.
Ignacio Roca, Email: ignacioeroca@gmail.com.
Dan Ouchi, Email: Dan.Ouchi@uab.cat.
Elisaul Suárez, Email: suarezelisaul@gmail.com.
Andrea Cadiz, Email: andreacadiz.est@gmail.com.
Mario Matute-González, Email: mmatute@clinic.cat.
Andrew M. Moon, Email: Andrew.Moon@unchealth.unc.edu.
Jordi Rimola, Email: JRIMOLA@clinic.cat.
Ferran Torres, Email: Ferran.Torres@uab.cat.
Maria Reig, Email: MREIG1@clinic.cat.
REFERENCES
- 1. Llovet J, Brú C, Bruix J. Prognosis of hepatocellular carcinoma: The BCLC staging classification. Semin Liver Dis. 1999;19:329–338. [DOI] [PubMed] [Google Scholar]
- 2. Reig M, Forner A, Rimola J, Ferrer-Fàbrega J, Burrel M, Garcia-Criado Á, et al. BCLC strategy for prognosis prediction and treatment recommendation: The 2022 update. J Hepatol. 2022;76:681–693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Llovet JM, Ricci S, Mazzaferro V, Hilgard P, Gane E, Blanc JF, et al. Sorafenib in advanced hepatocellular carcinoma. N Engl J Med. 2008;359:378–390. [DOI] [PubMed] [Google Scholar]
- 4. Kudo M, Finn RS, Qin S, Han KH, Ikeda K, Piscaglia F, et al. Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: A randomised phase 3 non-inferiority trial. Lancet. 2018;391:1163–1173. [DOI] [PubMed] [Google Scholar]
- 5. Finn RS, Qin S, Ikeda M, Galle PR, Ducreux M, Kim TY, et al. Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma. N Engl J Med. 2020;382:1894–1905. [DOI] [PubMed] [Google Scholar]
- 6. Abou-Alfa GK, Lau G, Kudo M, Chan SL, Kelley RK, Furuse J, et al. Tremelimumab plus durvalumab in unresectable hepatocellular carcinoma. NEJM Evidence. 2022;1. doi: 10.1056/EVIDoa2100070 [DOI] [PubMed] [Google Scholar]
- 7. Qin S, Chan SL, Gu S, Bai Y, Ren Z, Lin X, et al. Camrelizumab plus rivoceranib versus sorafenib as first-line therapy for unresectable hepatocellular carcinoma (CARES-310): A randomised, open-label, international phase 3 study. Lancet. 2023;402:1133–1146. [DOI] [PubMed] [Google Scholar]
- 8. Yau T, Galle PR, Decaens T, Sangro B, Qin S, da Fonseca LG, et al. Nivolumab plus ipilimumab versus lenvatinib or sorafenib as first-line treatment for unresectable hepatocellular carcinoma (CheckMate 9DW): An open-label, randomised, phase 3 trial. Lancet. 2025;405:1851–1864. [DOI] [PubMed] [Google Scholar]
- 9. Akahoshi K, Shindoh J, Tanabe M, Ariizumi S, Eguchi S, Okamura Y, et al. Oncological resectability criteria for hepatocellular carcinoma in the era of novel systemic therapies: The Japan Liver Cancer Association and Japanese Society of Hepato-Biliary-Pancreatic Surgery Expert Consensus Statement 2023. Liver Cancer. 2024;13:0–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Singal AG, Llovet JM, Yarchoan M, Mehta N, Heimbach JK, Dawson LA, et al. AASLD Practice Guidance on prevention, diagnosis, and treatment of hepatocellular carcinoma. Hepatology. 2023;78:1922–1965. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Gordan JD, Kennedy EB, Abou-Alfa GK, Beal E, Finn RS, Gade TP, et al. Systemic therapy for advanced hepatocellular carcinoma: ASCO Guideline update. J Clin Oncol. 2024;42:1830–1850. [DOI] [PubMed] [Google Scholar]
- 12. Vogel A, Chan SL, Dawson LA, Kelley RK, Llovet JM, Meyer T, et al. Hepatocellular carcinoma: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol. 2025;36:491–506. [DOI] [PubMed] [Google Scholar]
- 13. Sangro B, Argemi J, Ronot M, Paradis V, Meyer T, Mazzaferro V, et al. EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma. J Hepatol. 2025;82:315–374. [DOI] [PubMed] [Google Scholar]
- 14. Korean Liver Cancer Association (KLCA), National Cancer Center (NCC), Korea . 2022 KLCA-NCC Korea practice guidelines for the management of hepatocellular carcinoma. Clin Mol Hepatol. 2022;28:583–705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Hasegawa K, Takemura N, Yamashita T, Watadani T, Kaibori M, Kubo S, et al. Clinical Practice Guidelines for Hepatocellular Carcinoma: The Japan Society of Hepatology 2021 version (5th JSH-HCC Guidelines). Hepatol Res. 2023;53:383–390. [DOI] [PubMed] [Google Scholar]
- 16. Liu X, Xia F, Chen Y, Sun H, Yang Z, Chen B, et al. Chinese expert consensus on refined diagnosis, treatment, and management of advanced primary liver cancer (2023 edition). Liver Res. 2024;8:61–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Cabibbo G, Daniele B, Borzio M, Casadei-Gardini A, Cillo U, Colli A, et al. Multidisciplinary treatment of hepatocellular carcinoma in 2023: Italian practice Treatment Guidelines. Dig Liver Dis. 2024;56:394–405. [DOI] [PubMed] [Google Scholar]
- 18. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Lai CL, Lok ASF, Wu PC, Chan GCB, Lin HJ. Doxorubicin versus no antitumor therapy in inoperable hepatocellular carcinoma. A prospective randomized trial. Cancer. 1988;62:479–483. [DOI] [PubMed] [Google Scholar]
- 20. Elba S, Giannuzzi V, Misciagna G, Manghisi OG. Randomized controlled trial of tamoxifen versus placebo in inoperable hepatocellular carcinoma. Ital J Gastroenterol. 1994;26:66–68. [PubMed] [Google Scholar]
- 21. Martínez Cerezo FJ, Tomás A, Donoso L, Enríquez J, Guarner C, Balanzó J, et al. Controlled trial of tamoxifen in patients with advanced hepatocellular carcinoma. J Hepatol. 1994;20:702–706. [DOI] [PubMed] [Google Scholar]
- 22. Manesis E, Manesis EK, Giannoulis G, Zoumboulis P, Vafiadou I, Hadziyannis SJ. Treatment of hepatocellular carcinoma with combined suppression and inhibition of sex hormones: A randomized, controlled trial. Hepatology. 1995;21:1535–1542. [PubMed] [Google Scholar]
- 23. Vilgrain V, Pereira H, Assenat E, Guiu B, Ilonca AD, Pageaux GP, et al. Efficacy and safety of selective internal radiotherapy with yttrium-90 resin microspheres compared with sorafenib in locally advanced and inoperable hepatocellular carcinoma (SARAH): An open-label randomised controlled phase 3 trial. Lancet Oncol. 2017;18:1624–1636. [DOI] [PubMed] [Google Scholar]
- 24. Chow PKH, Gandhi M, Tan SB, Khin MW, Khasbazar A, Ong J, et al. SIRveNIB: Selective internal radiation therapy versus sorafenib in Asia-Pacific patients with hepatocellular carcinoma. J Clin Oncol. 2018;36:1913–1921. [DOI] [PubMed] [Google Scholar]
- 25. Garin E, Tselikas L, Guiu B, Chalaye J, Rolland Y, de Baere T, et al. Long-term overall survival after selective internal radiation therapy for locally advanced hepatocellular carcinomas: Updated analysis of DOSISPHERE-01 trial. J Nucl Med. 2024;65:264–269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Finn RS, Galle PR, Ducreux M, Cheng AL, Reilly N, Nicholas A, et al. Efficacy and safety of atezolizumab plus bevacizumab versus sorafenib in hepatocellular carcinoma with main trunk and/or contralateral portal vein invasion in IMbrave150. Liver Cancer. 2024;13:655–668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Sangro B, Chan SL, Kelley RK, Lau G, Kudo M, Sukeepaisarnjaroen W, et al. Four-year overall survival update from the phase III HIMALAYA study of tremelimumab plus durvalumab in unresectable hepatocellular carcinoma. Ann Oncol. 2024;35:448–457. [DOI] [PubMed] [Google Scholar]
- 28. Chan SL, Kudo M, Sangro B, Kelley RK, Kim JH, Van Binh P, et al. 150MO Safety results from the phase IIIb SIERRA study of durvalumab (D) and tremelimumab (T) as first-line (1L) treatment (tx) for hepatocellular carcinoma (HCC) participants (pts) with a poor prognosis. Ann Oncol. 2025;36:S63–S64. [Google Scholar]
- 29. Matono T, Tada T, Kumada T, Hiraoka A, Hirooka M, Kariyama K, et al. Vascular invasion within the resectability criteria is a prognostic factor in patients treated with atezolizumab and bevacizumab. Liver Int. 2025;45:e70217. [DOI] [PubMed] [Google Scholar]
- 30. Komatsu S, Tada T, Nishimura T, Tanaka M, Takebe A, Kushida S, et al. Prognosis of hepatectomy versus systemic chemotherapy based on oncological resectability criteria for borderline resectable hepatocellular carcinoma. Liver Cancer. 2025. doi: 10.1159/000546830 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Famularo S, Donadon M, Cipriani F, Giuliante F, Ferri S, Celsa C, et al. Hepatectomy versus sorafenib in advanced nonmetastatic hepatocellular carcinoma: A real-life multicentric weighted comparison. Ann Surg. 2022;275:743–752. [DOI] [PubMed] [Google Scholar]
- 32. Reig M, Sanduzzi-Zamparelli M, Forner A, Rimola J, Ferrer-Fàbrega J, Burrel M, et al. BCLC strategy for prognosis prediction and treatment recommendations: The 2025 update. J Hepatol. 2025. doi: 10.1016/j.jhep.2025.10.020 [DOI] [PubMed] [Google Scholar]
- 33. Fortuny M, Zaplotnik M, Marsal A, Sanduzzi-Zamparelli M, Campos M, Reig M. Reevaluating liver disease in intermediate-stage HCC: A dynamic approach beyond labels. ASCO Daily News. 2025. https://dailynews.ascopubs.org/do/reevaluating-liver-disease-intermediate-stage-hcc-dynamic-approach-beyond-labels [Google Scholar]
