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. 2022 Dec 10;23(5):1537–1549. doi: 10.1007/s10238-022-00972-4

External radiotherapy combined with sorafenib has better efficacy in unresectable hepatocellular carcinoma: a systematic review and meta-analysis

Han Li 1,#, Zhenying Wu 1,#, Jiali Chen 1,#, Ke Su 1, Lu Guo 2, Ke Xu 1, Tao Gu 1, Yi Jiang 1, Pan Wang 1, Hao Zeng 1, Hao Chi 3, Kun He 4,, Yunwei Han 1,
PMCID: PMC10460724  PMID: 36495367

Abstract

Advanced hepatocellular carcinoma (HCC) has a very low resectable rate. This meta-analysis aimed to compare efficacy of three combination strategies in treatment of advanced unresectable HCC with a view of guiding future selection of the best combination therapy for sorafenib and local therapy. A search was conducted to identify relevant literature published between April 2013 and May 2022, and then compared efficacy of sorafenib combined with external radiotherapy (SOF + RT), sorafenib with transarterial chemoembolization (SOF + TACE), sorafenib with hepatic artery infusion chemotherapy (SOF + HAIC), sorafenib (SOF), external radiotherapy (RT), transarterial chemoembolization (TACE), and hepatic artery infusion chemotherapy (HAIC) were studied and analyzed. Finally, the results were statistically analyzed using R 3.5.3 software and Stata/SE 15.0 software. A total of 46 studies, involving 7595 patients, were included in the meta-analysis. Analysis of overall survival (OS) and progression-free survival (PFS) of seven related treatment interventions revealed that the combination therapy had significantly higher efficacy than monotherapies. Among the combination therapies, SOF + RT was associated with the best OS and PFS rates, and the least adverse events compared to the other treatment modalities. The efficacy of combination therapy was better than monotherapy. In combination therapy, the overall survival time and progression-free survival time of SOF + RT were longer, and the adverse reactions were less. Therefore, SOF + RT may be the best choice for sorafenib combined with local therapy.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10238-022-00972-4.

Keywords: Hepatocellular carcinoma, External radiotherapy, Adverse event, Sorafenib, Transarterial chemoembolization, Hepatic artery infusion chemotherapy

Introduction

Hepatocellular carcinoma (HCC) is the fourth most prevalent cancer in the world, with a 5-year survival rate of 18% [1]. The current guidelines for the diagnosis and treatment of primary HCC indicate that surgical resection remains the primary treatment option for early-stage HCC, while sorafenib (SOF) is the most widely used targeted drug for unresectable HCC [2, 3]. Studies have shown that some patients develop resistance to sorafenib which subsequently significantly affect patients’ OS. Therefore, combining sorafenib with other local treatments is imperative to improved efficacy [4, 5]. Local area therapies, such as external radiotherapy (RT), transarterial chemoembolization (TACE), and hepatic artery infusion chemotherapy (HAIC), have been associated with improved patient survival and quality of life [68]. Radiotherapy is increasingly used for the treatment of HCC [9, 10]. Consequently, some studies have demonstrated that sorafenib combined with external radiotherapy (SOF + RT) generates a synergistic effect which inhibits tumor growth [11, 12]. For instance, SOF + RT was associated with favorable OS and PFS with good tolerability, with a median OS of approximately 15.7 months for SOF + RT compared with a median OS of only 8.3 months for patients without local radiotherapy [1316]. These findings indicate that a combination therapy of SOF + RT has great potential for treatment of HCC [17, 18].

Technological advancement has resulted in development and wide application of combination therapy comprising TACE and sorafenib (SOF + TACE). According to International Society of Multidisciplinary Interventional Oncology (ISMIO) consensus statement for 2021 [19], the use of TACE plus appropriate regimens can improve the outcome of unresectable HCC. Notably, patients in the SOF + TACE group were found to have significantly longer PFS rates than their counterparts in the TACE group (25.2 vs. 13.5 months, pendant 0.006). In recent years, numerous studies have reported that oxaliplatin- or cisplatin-based FOLFOX regimens applied to HAIC significantly improved tumor response rates and survival. For instance, results from a phase III trial [20] revealed that HAIC was associated with good OS rates and a manageable safety profile, with one study reporting a median overall survival time of 13.37 months for sorafenib with hepatic artery infusion chemotherapy (SOF + HAIC) (95%CI 10.27–16.46), a significant improvement compared to 7.13 months (95%CI 6.28–7.98) obtained when sorafenib was used alone [2123]. Collectively, these findings indicate that SOF + HAIC has potential as an efficacious treatment modality for unresectable HCC.

Conversely, the use of sorafenib has been associated with a series of adverse events (AEs) that which may significantly affect patients’ quality of life [2428]. Some of the most common AEs include fatigue, diarrhea, vomiting, loss of appetite, high blood pressure, and weight loss [28]. Appropriate strategies for management of AEs, coupled with use of sorafenib-based combination therapy, may help to bring better benefits to patients with advanced HCC [29]. The increase in first-line treatment for unresectable HCC represents a significant progress in the management of this malignant tumor. To date, however, data comparing efficacy of combination therapy based on sorafenib with other modalities are dearth, necessitating further research explorations that could guide selection of the most efficacious clinical treatment therapies. In this study, we systematically reviewed recent literature then performed a meta-analysis to compare efficacy of combination therapies and single therapies across clinical trials in treatment of HCC. Our findings are expected to guide future selection of the best treatment modality.

Methods

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We systematically searched PubMed, Embase, Medline, Web of Science, and Cochrane library databases for relevant literature targeting randomized controlled trials and observational studies published from April 2013 to May 2022. The keywords used in the search included carcinomas, hepatocellular, liver neoplasms, transarterial chemoembolization, external radiotherapy, targeted radiotherapies, hepatic artery infusion chemotherapy, and sorafenib. Next, we read the title and abstract of each retrieved article and excluded all irrelevant researches, referred to the full text of the articles involved, and strictly controlled the inclusion criteria and exclusion criteria.

Selection criteria

Articles were included in this meta-analysis if they met the following criteria: (1) study design: randomized controlled trials or observational comparative studies; (2) population: patients with HCC did not meet the criteria of surgical resection and were staged in middle and late stages; and (3) intervention: patients were treated with SOF + RT, SOF + TACE, SOF + HAIC, TACE, RT, HAIC, or SOF therapies. On the other hand, studies that met the following criteria were excluded from the analysis: (1) conference abstracts, review articles, case reports, non-control studies; (2) study population included patients with early-stage HCC, diffuse HCC, tumor diameter < 3 cm; (3) lacked adequate data; and (4) single-arm studies containing the above treatments.

Data extraction

The following information was extracted from each article: (1) article information: first author’s last name, year of publication, intervention, and sample size; (2) patient-related information: Barcelona Clinic Liver Cancer (BCLC) or American Joint Committee on Cancer (AJCC) stage, alpha-fetoprotein (AFP) level, Child–Pugh grade, as well as tumor size. (3) data: survival time (OS), progression-free survival time (PFS), Kaplan–Meier curve, adverse reactions (AEs), risk ratio (HR), confidence interval (CI) of 95% different interventions, chart information in the article, complications, factors affecting patient survival, AEs, as well as 1-, 2-, and 3-year survival rates. The main results targeted in this meta-analysis included OS (based on HR), PFS (based on HR), and AEs. And we used (GetdataGraphDigitizer2.26) to extract the studies in which survival rates could not be obtained.

Definitions

OS was defined as the time from the date of treatment to the patient death, PFS was defined as progression-free survival time, HR is defined as the risk ratio of the control group to the intervention group, and AEs are defined as the number of patients with adverse reactions after treatment.

Study characteristics

IT was retrieved from April 1, 2022, to May 2022. After repeated elimination and preliminary screening, 46 studies [13, 2023, 3064], including 7595 patients with unresectable HCC, were subjected to data extraction and analysis. Identification, screening, and inclusion of studies were performed in accordance with PRISMA guidelines. A summary of articles included in this meta-analysis is provided in Table 1. Thirty-three of the included studies were retrospective studies, with a 13 of prospective ones.

Table 1.

Baseline characteristics

Author Year Design Arm No BCLC(B/C) or AJCC(III/IV) Child (A/B) AFP ≤ 400/ > 400 ng/L Tumor size (cm) NOS score
Liu 2021 Retrospective TACE 48 15/33 35/13 20/28 11.0 ± 3.0 7
SOF + TACE 42 13/29 31/11 18/24 11.5 ± 3.7
Yuan 2019 Retrospective TACE 138 0/138 133/5 NA 8.55 ± 3.39 8
SOF + TACE 69 0/69 67/2 NA 8.39 ± 4.45
Lencioni 2016 Prospective TACE 153 NA/NA 152/0 112/41 NA 7
SOF + TACE 154 NA/NA 153/1 113/41 NA
Kudo 2020 Prospective TACE 76 34/9 71/5 NA NA 8
SOF + TACE 80 44/9 79/1 NA NA
Ren 2019 Retrospective TACE 122 72/50 111/11 77/45  > 5 (77) 6
SOF + TACE 61 30/31 55/6 42/19  > 5 (35)
Zhang 2016 Retrospective TACE 60 NA/NA NA/NA 18/42 10.3 ± 3.4 7
SOF + TACE 20 NA/NA NA/NA 7/13 9.6 ± 4.0
Liu 2020 Retrospective TACE 40 0/40 24/16 21/19 6.9 (1.6–12.0) 6
SOF + TACE 35 0/35 23/12 12/23 7.4 (2.1–11.7)
Bai 2013 Prospective TACE 164 45/115 115/49 NA NA 6
SOF + TACE 82 19/63 63/19 NA NA
Koch 2021 Retrospective SOF 82 0/82 61/21 52/30 NA 8
TACE 65 0/65 50/15 40/25 NA
SOF + TACE 54 0/54 40/14 36/18 NA
Peng 2021 Retrospective TACE 112 19/53 41/47 67/45  > 5 (84) 8
SOF + TACE 56 16/27 39/14 37/19  > 5 (34)
Wan 2016 Retrospective TACE 245 NA/NA 218/27 170/75  < 5 (99) 7
SOF + TACE 245 NA/NA 213/32 132/113  < 5 (99)
Kaibori 2021 Retrospective TACE 29 29/0 29/0 NA 1.4 (0.6–3.3) 8
SOF + TACE 41 41/0 41/0 NA 2.1 (0.7–8.1)
Hu 2014 Retrospective TACE 164 0/164 103/63 45/119 NA 7
SOF + TACE 82 0/84 58/24 29/55 NA
Meyer 2017 Prospective TACE 156 NA/NA 148/3 NA 5 (4–8) 9
SOF + TACE 157 NA/NA 145/5 NA 6 (4–8)
Wu 2017 Retrospective SOF 56 10/46 45/11 33/23 9.1 (1–19.5) 6
SOF + TACE 48 16/32 46/2 23/24 7.65 (1–19.0)
Su 2021 Prospective SOF 24 10/12 17/7 NA NA 5
SOF + TACE 18 9/9 14/4 NA NA
Lee 2020 Retrospective SOF 65 NA/NA NA/NA NA  > 5 (31) 7
SOF + TACE 53 NA/NA NA/NA NA  > 5 (15)
Zhang 2015 Retrospective SOF 44 30/14 34/10 NA NA 7
SOF + TACE 45 32/13 34/11 NA NA
Park 2018 Prospective SOF 169 44/125 147/22 NA NA 6
SOF + TACE 170 39/128 148/22 NA NA
Zhao 2020 Retrospective SOF 90 0/90 83/7 43/47 10.0 (7.1–11.9) 7
TACE 233 0/233 214/19 128/15 8.7 (6.4–11.8)
Kirstein 2017 Retrospective SOF 98 NA/NA NA/NA NA NA 7
TACE 73 NA/NA NA/NA NA NA
Liu 2021 Retrospective RT 73 64/7 68/5 NA  > 10 (28) 8
SOF + RT 73 65/6 69/4 NA  > 10 (28)
Abulimiti 2021 Retrospective RT 46 29/17 44/2 24/22  < 10 (30) 7
SOF + RT 36 18/18 35/1 17/19  < 10 (38)
Que 2019 Retrospective RT 36 NA/NA 31/5 20/16  < 10 (20) 7
SOF + RT 18 16/2 15/3 10/8  < 10 (16)
Yoshiyuki 2018 Retrospective RT 47 0/47 47/0 NA NA 6
SOF + RT 15 0/15 15/0 NA NA
Sun 2016 Retrospective RT 22 NA/NA NA/NA NA NA 8
SOF 18 NA/NA NA/NA NA NA
SOF + RT 23 NA/NA NA/NA NA NA
Chang 2022 Retrospective SOF 330 0/330 299/31 181/149 NA 8
SOF + RT 68 0/68 60/8 47/21 NA
Bettinger 2018 Prospective SOF 95 42/48 70/25 NA 6.5 ± 4.1 7
RT 95 48/43 67/28 NA 6.2 ± 3.6
Nakazawa 2014 Retrospective SOF 28 NA/NA NA/NA NA NA 8
RT 28 NA/NA NA/NA NA NA
Liang 2021 Retrospective HAIC 126 0/126 126/0 39/87 NA 7
SOF + HAIC 99 0/99 99/0 25/74 NA
Miyaki 2019 Retrospective HAIC 164 41/118 133/31 NA NA 8
SOF + HAIC 27 9/16 25/2 NA NA
He 2019 Prospective SOF 122 0/122 NA/NA NA NA 8
SOF + HAIC 125 0/125 NA/NA NA NA
Kudo 2018 Prospective SOF 103 27/76 93/10 57/46 NA 8
SOF + HAIC 102 32/70 90/12 46/49 NA
Kondo 2019 Prospective SOF 33 13/18 29/4 NA NA 7
SOF + HAIC 35 14/19 31/4 NA NA
Zheng 2022 Prospective SOF 32 0/32 27/5 NA 10.7 ± 3.9 7
SOF + HAIC 32 0/32 28/4 NA 10.6 ± 4.0
Ikeda 2016 Prospective SOF 41 16/25 39/2 NA 5.2 (1.1–17.5) 8
SOF + HAIC 66 19/46 57/8 NA 5.1 (1–20)
Nagai 2015 Retrospective HAIC 20 0/20 6/14 NA NA 8
SOF + HAIC 18 0/18 11/7 NA NA
Kotaro 2015 Retrospective SOF 72 NA/NA 61/11 NA  < 5 (44) 7
HAIC 128 NA/NA 79/49 NA  < 5 (62)
Lyu 2018 Retrospective SOF 232 NA/NA NA/NA NA NA 5
HAIC 180 NA/NA NA/NA NA NA
Zaizen 2021 Retrospective SOF 83 74/9 59/24 NA NA 5
HAIC 83 71/12 53/30 NA NA
Aoka 2015 Retrospective SOF 41 3/38 NA/NA NA 4 (1–19) 8
HAIC 136 1/135 NA/NA NA 4 (1–18)
Choi 2018 Prospective SOF 29 0/29 25/4 NA  > 10 (17) 8
HAIC 29 0/29 27/2 NA  > 10 (15)
Kang 2018 Retrospective SOF 44 17/25 NA/NA NA 7.4 ± 3.5 7
HAIC 95 19/72 NA/NA NA 8.1 ± 3.7
Ahn 2020 Retrospective SOF 35 0/35 24/11 NA NA 6
HAIC 38 0/38 27/11 NA NA
Moriguchi 2017 Retrospective SOF 14 0/14 14/0 NA 6.58 (3.27–10.8) 8
HAIC 32 0/32 32/0 NA 7.47 (0–17.91)
Song 2015 Retrospective SOF 60 0/60 47/13 NA  > 10 (29) 4
HAIC 50 0/50 45/5 NA  > 10 (28)

Data screening and quality evaluation

The two researchers independently read the titles and abstracts of the retrieved articles and then selected according to the aforementioned inclusion criteria. Next, they read each article’s full text and finally selected those that met our inclusion criteria. A single table was prepared and used to extract the following information: the name of the author and title, interventions, Barcelona Clinic Liver Cancer, Child–Pugh grading, tumor diameter, important outcome indicators, and research quality indices. In most studies, Response Evaluation Criteria in Solid Tumors (RECIST), modified RECIST or World Health Organization (WHO) criteria were used to evaluate the efficacy. Most studies adopted Common Terminology Criteria for Adverse Events (CTCAE) proposed by the radiotherapy Oncology Group (RTOG) and the European Organization for Cancer Research and treatment (EORTC) [6567]. Since most of the included studies were of a retrospective design, we used the Nottingham Ottawa scale (NOS) to assess the quality of each study and found that most of the studies were of medium quality. The two researchers independently rated and discussed until the results were consistent. The articles were stratified according to NOS scores, with 7–9 and 4–6 denoting high-quality and medium-quality reports, respectively, and those with scores below 4 classified as low quality.

Statistical analysis

Primary observation endpoints were OS, PFS, and AEs, and hazard ratio (HR) was used to compare OS and PFS. After adjustment, we applied the following specific algorithm for indirect comparison: Ln (HR) = [ln (UL − HR) + ln (LL − HR)]/2 UL − HR seln (HR) = [ln (UL − HR) − ln (LL − HR)]/(1.96 × 2). Stata/SE 15.0 software and R 3.5.3 software were used for meta-analysis and then used SUCRA score of survival to discuss the ranking probability. We also used network meta-analysis to synthesize the included information then applied frequency distribution for direct and indirect comparisons. Publication bias was analyzed using Funnel chart and Egger’s test. To this end, a symmetrical graphic representation indicated no obvious publication bias, while an asymmetric profile denoted publication bias. All statistical analyses were performed at a significance level of p < 0.05.

Results

Included studies

Initial literature search yielded a total of 3210 articles, of which 1711 were deleted on the account of being duplicates. After the screening of literature types, 1618 articles were excluded. Further full-text review resulted in deletion of 47 articles. Finally, 46 studies met our inclusion criteria and were therefore included in the meta-analysis. Table 1 summarizes the general characteristics of the included studies. And the selection process is illustrated in Fig. 1.

Fig. 1.

Fig. 1

PRISMA flowchart

Study characteristics

All the clinical studies included were double-arm randomized controlled trials, and all described patients with unresectable HCC. Network analysis results for OS and AEs are shown in Fig. 2, respectively. In the current study, we compared 7 different combination and non-combination treatments, namely SOF, SOF + TACE, SOF + RT, SOF + HAIC, TACE, RT, and HAIC, with the aim of identifying the best combination of sorafenib plus local therapy. The mesh map shows a direct comparison between different treatment arms. The size of each circle represents the number of relevant literatures included in this treatment, and the number of head-to-head comparisons between adjacent pre-arms is proportional to the thickness of the connection line. In the specific strategy of external radiotherapy, most of the studies used stereotactic body radiotherapy (SBRT), and only 4 studies used intensity modulated radiotherapy (IMRT) or 3-dimensional conformal radiotherapy (3D-CRT). We conducted a subgroup analysis and found that there was no significant difference in the effect of different types of radiotherapy on the efficacy.

Fig. 2.

Fig. 2

Networks of OS a and AEs b reported in included studies

Overall survival

A total of 43 studies reported OS. Regarding specific survival rates, 42, 39 and 24 studies reported 1-, 2-, and 3-year survival rates, respectively, as shown in Supplementary Table 1. In addition, 7 interventions were reported, although we found no statistically significant heterogeneity among the studies. To further explore efficacy levels of these treatments, we generated forest maps (Fig. 3a) and cumulative probability histograms (Fig. 3b) by measuring the HR and 95%CI of OS in the experimental relative to control groups across 36 studies. Forest plots showed that the combination therapy had significantly better efficacy than monotherapy (SOF + RT > SOF/RT, SOF + TACE > SOF/TACE, SOF + HAIC > SOF/HAIC) for treatment of unresectable HCC (Fig. 3a). SOF + TACE, SOF + RT, and SOF + HAIC were also associated with improved OS of patients compared to sorafenib alone (HR and 95%CI 0.58, 0.48–0.70; 0.31, 0.21–0.47; 0.53, 0.45–0.62). Results from sorafenib with local therapy revealed that SOF + RT > SOF + HAIC > SOF + TACE, suggesting that SOF + RT may be the best choice for the benefit of OS. Results from network pairwise comparison of seven studies showed that SOF + RT achieved significant benefits on OS (Fig. 3c).

Fig. 3.

Fig. 3

a Forest plots showing pairwise comparison of OS across various treatment methods. b Probability histogram of OS in various treatments; c HRs depicting pairwise comparisons of OS between treatments

Progression-free survival

Next, we generated forest maps (Fig. 4a) and cumulative probability histogram (Fig. 4b) from 15 studies in order to compare effect of various intervention therapies on patients’ PFS by measuring the HR and 95%CI of their PFS. Results showed that patients treated with SOF + TACE, SOF + RT, and SOF + HAIC had better PFS than those treated with sorafenib monotherapy (HR and 95%CI 0.69, 0.56–0.84; 0.44, 0.27–0.73; 0.45, 0.38–0.54). Among the combination therapies, SOF + RT was associated with the best PFS. Meanwhile, analysis of the combination between sorafenib and local therapy revealed benefit to PFS is in the following order: SOF + RT > SOF + HAIC > SOF + TACE. A network of pairwise comparison among seven studies showed that SOF + RT achieved the best benefits on patients’ PFS (Fig. 4c).

Fig. 4.

Fig. 4

a Forest map showing pairwise comparisons in patients PFS across various treatment therapies. b Probability histogram of PFS in various treatments; c HRs depicting pairwise comparisons of PFS between treatments

Adverse events

A total of 24 studies reported grade3/4 grade AEs, which were subsequently extracted for generation of a forest map (Fig. 5a). Summarily, results indicated that RT, TACE, and HAIC alone were associated with the least AEs, while sorafenib alone or sorafenib combined with local treatment caused numerous AEs. Among the combination therapies, SOF + RT was associated with relatively lower AE occurrence. Moreover, we calculated the SUCRA score for survival and AEs. According to the SUCRA values of survival (efficacy) and tolerability (1-adverse event), we made a clustered ranking plot to rank them and found that SOF + RT elicited relatively fewer AEs and considerable clinical benefits in combination therapy (Fig. 5b).

Fig. 5.

Fig. 5

a Forest map showing pairwise comparison of AEs associated with various treatment methods. b Clustered ranking plot of the acute mania network based on cluster analysis two different outcomes: survival (SUCRA efficacy) and tolerability (SUCRA 1-AEs)

Publication bias

We use the funnel diagram to assess the potential bias risk of meta-analysis, and the funnel diagram is roughly symmetrical, which proves that our conclusion is unlikely to be wrong.

Discussion

In this study, we provide the first meta-analysis describing efficacy of sorafenib combined with local therapy. Although numerous studies have associated local therapy combined with TKIs with favorable OS, direct comparison among these treatment combinations remains a challenge. In this meta-analysis, we included a large number of relevant studies to compare efficacy of these combinations on HCC patients through OS rankings calculated by risk ratio HR. Our results indicated that the efficacy of combined therapy is significantly better than that of monotherapy. In addition, SOF + RT was associated with better OS, PFS, and fewer adverse reactions compared to the three combination therapies. These findings are expected to guide doctors during future decision making on the best treatment modality for HCC. Previous studies have shown that external radiotherapy can play a crucial role in management of HCC [6871]. Notably, researchers have recommended that more focus should be directed to the importance of radiotherapy and radiotherapy combined with targeted therapy during treatment of unresectable HCC.

Sorafenib was approved for advanced HCC based on the results of the SHARP trial and subsequently confirmed by another Asia–Pacific trial [7274]. Results from previous retrospective and prospective trials have shown that RT can achieve effective clinical benefits and low risk of self-injury. For instance, Huang et al. [75] demonstrated that sorafenib not only sensitized drug-resistant cancer cells but also induced radiation-induced apoptosis by downregulating STAT3 phosphorylation. On the other hand, Su et al. [76, 77] showed that RT was more efficacious than TACE for treatment of advanced HCC, possibly because obstruction of the portal vein in advanced HCC lowers its therapeutic effect. Results from another study indicated that sorafenib was associated with improved radiosensitivity while its combination therapy caused a significant delay in tumor growth [78]. Moreover, TACTIC test results showed that SOF + TACE had a positive therapeutic effect than TACE monotherapy for treatment of unresectable HCC [33]. On the other hand, local treatment was found to induce release of antigens and pro-inflammatory cytokines, cooperate with tyrosine kinase inhibitors to enhance immunity, and inhibit primary tumor checkpoint [79]. Previous studies have also shown that sorafenib is an effective poly-kinase inhibitor that targets the vascular endothelial growth factor (VEGF) receptor, and therefore, it is expected to have a synergistic effect when combined with TACE in the treatment of HCC [2]. Data from a recent Phase III FOHAIC-1 trial revealed the efficacy of hepatic arterial infusion of fluorouracil, calcium folinate, and oxaliplatin (HAIC-FO) for treatment of advanced HCC. Notably, patients with advanced HCC who were treated with HAIC exhibited better survival times than their counterparts who received sorafenib, although it was associated with a high burden of intrahepatic disease. In addition, HAIC significantly improved the overall survival of patients with unresectable large HCC compared to TACE. SOF + HAIC was also associated with better overall survival and acceptable toxicity rates in HCC patients than sorafenib [21].

Results from the present meta-analysis are expected to guide future selection of systematic combined with local therapy for treatment of advanced unresectable HCC. Various treatment therapies have been associated with adverse reactions. Numerous studies have shown that sorafenib monotherapy can result in several adverse reactions, possibly due heterogeneity in the drug’s pharmacokinetics in HCC patients. Studies have also shown that oncogenes tend to be hypermethylated, whereas tumor suppressor genes tend to be hypomethylated after sorafenib treatment, indicating that sorafenib can affect methylation levels of genes regulating cancer development and progression as well as the related pathways in HCC cells, thereby causing serious side effects [80, 81]. Although the combination therapy has many benefits, it is also associated with numerous adverse reactions, such as diarrhea, vomiting, hypertension, hand and foot adverse reactions, fatigue, and fever. However, almost all patients can tolerate it, with studies confirming safety of sorafenib and various local combinations. At the same time, studies have shown that the adverse reactions caused by SOF + RT are relatively few in the combination therapy, although the choice of a specific treatment still depends on a patient’s basic physical conditions. Therefore, clinical choice of a treatment modality should be based on each patient’s basic situation, coupled with comprehensive understanding of efficacy and the associated adverse reactions.

This study had some limitations. First of all, many of the studies we have included are retrospective studies, so there is always a risk of publication bias. Secondly, heterogeneity of age, sex, AFP level, and ECOG score may lead to inevitable bias, so more subgroup analysis should be done. Finally, the selection bias in the included literature is also a major factor affecting the quality of the article.

Targeted therapy cannot produce a complete and lasting tumor response, which eventually leads to drug resistance and tumor recurrence [82]. In addition to the combination therapy based on targeted therapy, various combination therapies based on immunotherapy also prolong OS and have controllable safety, such as atezolizumab plus bevacizumab, camrelizumab plus apatinib, and pembrolizumab plus lenvatinib. Future studies are expected to explore efficacy of combining pd-1 with other treatments.

And lenvatinib, which is also a targeted drug, has shown excellent efficacy in treatment of HCC. Notably, lenvatinib acts on radiation-induced Src/STAT3/NF-κB signal transduction to enhance the antitumor effect of radiation on hepatocellular carcinoma. Previous studies have shown that lenvatinib not only promotes radiation effect of hepatocellular carcinoma cell proliferation on inhibition, inhibition of invasion, and induction of apoptosis, but also reduces radiation-triggered carcinogenesis and EMT (epithelial–mesenchymal transition)-related protein expression [83]. Therefore, lenvatinib combined with external radiotherapy may also have a good effect.

And lenvatinib-TACE sequential therapy also showed deep remission and good prognosis, indicating that adding TACE to lenvatinib can improve the clinical outcome, and thus, it is a potential treatment choice for patients with advanced hepatocellular carcinoma. Efficacy of the combination therapy needs to be validated using prospective and retrospective studies with large sample sizes. Even some studies have also shown that TACE in combination with lenvatinib has excellent efficacy than TACE combined with sorafenib for treatment of advanced hepatocellular carcinoma. However, due to the limited study and sample size of lenvatinib plus local therapy, and based on the rich sample size of this study, we still use sorafenib as indirect evidence for the horizontal comparison of systemic therapy and local therapy. Further research exploration is needed to verify efficacy of both targeted and local therapies [8489].

Conclusion

The efficacy of combination therapy was better than monotherapy. In combination therapy, the median survival time and progression-free survival time of SOF + RT were longer, and the adverse reactions were less. Therefore, SOF + RT may be the best choice for sorafenib combined with local therapy.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

The authors would like to thank all the reviewers who participated in the review and MJEditor (www.mjeditor.com) for its linguistic assistance during the preparation of this manuscript.

Abbreviations

HCC

Hepatocellular carcinoma

OS

Overall survival

PFS

Progression-free survival

RT

External radiotherapy

TACE

Transarterial arterial chemoembolization

HAIC

Hepatic artery infusion chemotherapy

BCLC

Barcelona clinic liver cancer

AJCC

American Joint Committee on Cancer

Author contributions

Data collected by HL, KH, and JC. LG, TG, HC, and KX designed the research study. This study was written by HL, ZW, and KH. And HZ analyzed the data. All the authors approved the final version of the manuscript. The contribution of the co-first author is the same as that of the first author, and the contribution of the co-correspondent author and the correspondent author is the same.

Funding

This work was supported by Project of Science and Technology Department of Sichuan Province (2020JDTD0036).

Declarations

Conflict of interest

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

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Han Li, Zhenying Wu and Jiali Chen have contributed equally.

Contributor Information

Kun He, Email: hktongji@swmu.edu.cn.

Yunwei Han, Email: hanyunwei@swmu.edu.cn.

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