Efficacy and safety of arterial FOLFOX chemotherapy plus anti-PD-(L)1 immunotherapy as a first-line treatment for unresectable intrahepatic cholangiocarcinoma: a propensity score matching analysis
Highlight box
Key findings
• Hepatic arterial infusion chemotherapy with infusional fluorouracil, leucovorin, and oxaliplatin regimens (HAIC-FO) combined with anti-programmed death-(ligand) 1 immunotherapy [αPD-(L)1] may offer superior efficacy compared to systemic chemotherapy (SYS) combined with αPD-(L)1 as a first-line treatment for unresectable intrahepatic cholangiocarcinoma (uICC) patients, while maintaining an acceptable safety profile.
What is known and what is new?
• The combination of SYS and αPD-(L)1 has emerged as the primary first-line treatment regimen for uICC patients. However, due to the potential negative impact of SYS on the immune system, there may exist an antagonistic interaction between SYS and immunotherapy.
• The combination of HAIC-FO and αPD-(L)1 showed superior median overall survival, median progression-free survival (PFS), median intrahepatic PFS, and objective response rate as a first-line treatment option for patients with uICC compared to the combination of SYS and αPD-(L)1, while maintaining manageable adverse effects.
What is the implication, and what should change now?
• As a first-line therapeutic approach for patients with uICC, the combination of HAIC-FO and αPD-(L)1 may exhibit superior treatment efficacy compared to the combination of SYS and αPD-(L)1, while maintaining manageable adverse effects.
• The combination therapy of HAIC-FO and anti-PD-(L)1 may present a potential first-line treatment option for patients with uICC. However, further investigation through prospective randomized controlled trials is necessary to fully elucidate the potential role of this combined therapy in uICC patients.
Introduction
Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer worldwide after hepatocellular carcinoma (HCC) (1,2). Complete surgical resection is currently recommended as the first-line and curative approach for treating ICC; however, 70–80% of patients are initially diagnosed with local unresectability or distant metastasis, missing the opportunity for surgical treatment (3). Systemic chemotherapy (SYS), such as gemcitabine plus cisplatin (GEMCIS) or gemcitabine plus oxaliplatin (GEMOX), is recommended as the first-line treatment for patients with unresectable ICC (uICC) (4). Nevertheless, the majority of these patients have a poor prognosis, with a median survival of only approximately 1 year.
In recent years, combination therapy based on immune checkpoint inhibitors (ICIs), such as anti-programmed death-(ligand) 1 [PD-(L)1] antibodies, has emerged as a prominent trend in the field of cancer treatment. Clinical trials like TOPAZ-1 and KEYNOTE-966 have demonstrated significant survival benefits for patients with advanced biliary tract cancer, including uICC, when treated with SYS plus anti-PD-(L)1 antibodies compared to SYS alone (5,6). Consequently, the combination of GEMCIS with durvalumab (an anti-PD-L1 antibody) or pembrolizumab (an anti-PD-1 antibody) has been approved by the U.S. Food and Drug Administration (FDA) and European Medicines Agency (EMA), establishing it as the current recommended first-line treatment approach in international guidelines (2-4,7).
Importantly, SYS, although effective at attacking cancer cells systemically, can result in significant damage to normal tissues, leading to toxic side effects. This not only may force patients to discontinue treatment prematurely, but also raises concerns regarding potential antagonistic interactions between SYS and immunotherapy due to chemotherapy-induced immune system impairment (8,9). In theory, optimizing chemotherapy further is a promising strategy to enhance the antitumor efficacy of anti-PD-(L)1 antibodies.
Hepatic arterial infusion chemotherapy (HAIC) is a regional chemotherapy technique that delivers high-concentration chemotherapeutic agents directly to tumor sites through the hepatic artery (10). HAIC with infusional fluorouracil, leucovorin, and oxaliplatin (FOLFOX) regimens (HAIC-FO) shows tolerable toxicity and promising efficacy in patients with colorectal liver metastases, unresectable perihilar cholangiocarcinoma, and advanced HCC (11-14). The previous studies have demonstrated the favorable antitumor activity of HAIC either as a monotherapy or in combination with SYS in uICC patients (15,16). In 2016, Konstantinidis et al. reported that in patients with liver-confined uICC, the median overall survival (mOS) was longer in those who received HAIC plus SYS than in those who received SYS alone (30.8 vs. 18.4 months, P<0.001) (17). A phase II single-arm study revealed that the median progression-free survival (mPFS) was 11.8 months, the mOS was 25 months, and the objective response rate (ORR) reached 58%, indicating a high level of antitumor activity, in patients with liver-confined uICC treated with HAIC combined with GEMOX (18). Recently, Li et al. conducted a retrospective analysis of uICC patients with extrahepatic oligometastasis and reported that the mOS and intrahepatic PFS (IPFS) were significantly longer, and mortality due to liver failure was significantly reduced (42% vs. 72%, P=0.002) in the group treated with HAIC plus SYS than in the group treated with SYS alone (OS: 15.8 vs. 12.7 months, P=0.023; IPFS: 9.7 vs. 6.1 months, P<0.001) (19). These results suggest that adding systemic therapy to HAIC may be a beneficial clinical approach.
Compared to SYS, localized drug delivery through HAIC may increase tumor cell death and exposure to tumor antigens while minimizing the impact of chemotherapy on the immune system (15,16,20). This localized approach could induce a strong antitumor immune response (8). Preclinical studies have shown that compared with SYS, localized chemotherapy may enhance antitumor immune responses and improve the efficacy of anti-PD-(L)1 therapy (8,21,22). Therefore, we hypothesize that combining HAIC-FO with anti-PD-(L)1 immunotherapy [αPD-(L)1] may improve survival outcomes in uICC patients.
To date, there have been limited reports investigating the efficacy of HAIC-FO combined with αPD-(L)1 in uICC patients. In this study, we conducted a comparative analysis to evaluate the effectiveness and safety of HAIC-FO plus anti-PD-(L)1 antibody vs. SYS plus anti-PD-(L)1 antibody in uICC patients. The findings from this study may offer novel insights into the first-line treatment approach for uICC. We present this article in accordance with the STROBE reporting checklist (available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-552/rc).
Methods
Study design and population
This study was approved by the Ethics Committee of Sun Yat-sen University Cancer Center (No. G2024-080-01). The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). Individual consent for this retrospective analysis was waived. Between January 2019 and January 2023, baseline and follow-up data were collected for 182 patients with uICC [99 men (mean age, 57 years; range, 55–59 years) and 83 women (mean age, 55 years; range, 52–57 years)]. Among these patients, 147 received HAIC-FO plus anti-PD-(L)1 immunotherapy antibody [hereafter referred to as the HAIC+αPD-(L)1 group], while 35 received SYS plus anti-PD-(L)1 immunotherapy antibody [hereafter referred to as the SYS+αPD-(L)1 group]. The last follow-up date on which clinical data were collected was July 2023.
Patients who met the following criteria were included in this study: aged 18 years or older; had histopathologically confirmed unresectable or metastatic ICC according to the World Health Organization (WHO) classification (23); had received at least one cycle of HAIC-FO or SYS treatment; and had adequate blood/bone marrow (leukocyte count >3.0×109/L, hemoglobin level >8.0 g/L, and platelet count >60×109/L), liver [alanine transaminase (ALT) and aspartate aminotransferase (AST) levels <5 times the upper limit of normal, albumin (ALB) level >2.8 g/L, total bilirubin level <2.8 g/L], renal (serum creatinine level <1.5 times the upper limit of normal) and coagulation (prothrombin time <6 seconds) function. The exclusion criteria included any history of antitumor therapy, a Child-Pugh score of C, an Eastern Cooperative Oncology Group (ECOG) performance score >2, the absence of enhanced computed tomography (CT) or magnetic resonance imaging (MRI) examination before treatment, and loss to follow-up.
Treatment management
The HAIC-FO treatment approach has been described in detail in previous studies (13,14). In brief, all patients in the HAIC+αPD-(L)1 group underwent arterial catheter placement under the guidance of digital subtraction angiography. Subsequently, they received continuous infusion through the catheter according to the FOLFOX regimen (oxaliplatin 130 mg/m2, leucovorin 200 mg/m2, bolus fluorouracil 400 mg/m2, and infusional fluorouracil 2,400 mg/m2) in each 3-week cycle. During treatment, patients with no disease progression received a maximum of 8 cycles of HAIC-FO therapy.
Concurrently, all patients in the SYS+αPD-(L)1 group were treated following the first-line chemotherapy recommendations of the National Comprehensive Cancer Network (NCCN) guidelines (24). Table S1 shows the type of chemotherapy used in the SYS+αPD-(L)1 treatment group for patients. PD-(L)1 inhibitors were administered intravenously every 3 weeks. These inhibitors included durvalumab, pembrolizumab, nivolumab, toripalimab, tislelizumab, and sintilimab.
Assessment and end points
All patients underwent regular follow-ups within 1 week prior to the initiation of treatment, followed by subsequent routine follow-ups every 3±1 week and at the end of the treatment. OS was defined as the duration from the commencement of the treatment to the date of death from any cause or the last patient follow-up (July 2023). PFS referred to the interval from the start of the treatment to the time of disease progression, death, or the last follow-up. IPFS was defined as the time interval from the start of treatment to the occurrence of intrahepatic tumor progression (including primary tumor progression and emergence of new intrahepatic lesions), death, or the last follow-up date, regardless of extrahepatic metastasis. Tumor evaluations were performed using dynamic contrast-enhanced MRI or CT, in line with the Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST v1.1) (25). The ORR encompassed the percentage of patients with either a complete response (CR) or partial response (PR). The disease control rate (DCR) included the sum of the ORR and the percentage of patients with stable disease (SD). Treatment-associated adverse events (AEs) were evaluated based on version 5.0 of the National Cancer Institute’s Common Terminology Criteria for Adverse Events (CTCAE).
Statistical analysis
Baseline and matched characteristics were compared using standard tests for continuous variables (Mann-Whitney U test and Wilcoxon signed-rank test) and categorical variables (χ2 test or Fisher’s exact test). To minimize potential confounding effects, we employed propensity score matching (PSM). This method was designed to balance covariates between the HAIC+αPD-(L)1 and SYS+αPD-(L)1 groups, ensuring that the observed outcome differences primarily arose from the treatment itself rather than other confounding variables. This model included sex, age, hepatitis B virus (HBV) status, Child-Pugh stage, tumor size, tumor number, tumor distribution, macrovascular invasion status, regional lymph node metastasis status, distant lymph node metastasis status, number of extrahepatic metastatic sites, carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) levels, and tumor differentiation status. Using the patient demographics and clinical features described above, binary logistic regression was performed to compute the propensity scores, followed by 4:1 greedy nearest-neighbor matching with a caliper of 0.2, based on the MatchIt package in R.
Survival curves were plotted using the Kaplan-Meier method, with differences in prognostic variables compared using the log-rank test. Multivariate Cox regression analysis was performed to determine the independent factors significantly associated with survival, while adjusting for potential confounders. A backward stepwise regression method was employed to select the best combination of variables from the univariate analysis for inclusion in the multivariate analysis model. All the statistical analyses were conducted using R software (version 4.2.2; R Foundation for Statistical Computing, Vienna, Austria) or SPSS (version 25.0; IBM, Armonk, NY, USA). All P values were two-sided, with P values less than 0.05 considered to indicate statistical significance.
Results
Patient characteristics
From January 2019 to January 2023, a total of 946 patients were pathologically diagnosed with ICC at the Sun Yat-sen Cancer Center. After comprehensive assessment, 182 patients with uICC met the inclusion criteria of this study. The detailed patient selection procedure is shown in Figure 1.

The baseline demographic and clinical characteristics of the two groups are presented in Table 1. There were significant differences in baseline features between the groups in terms of tumor distribution (P=0.01), regional lymph node metastasis (P=0.003), distant lymph node metastasis (P<0.001), and the number of extrahepatic metastatic sites (P<0.001). After performing PSM for all patients in the HAIC+αPD-(L)1 and SYS+αPD-(L)1 groups, there were 61 and 26 remaining patients in the two groups respectively, with well-balanced baseline characteristics. The types of second-line treatments before and after PSM are summarized in Table 2, and Table S2 shows the baseline metastasis status of the patients.
Table 1
Characteristics | Unmatched | Matched | |||||
---|---|---|---|---|---|---|---|
HAIC+αPD-(L)1 (n=147) | SYS+αPD-(L)1 (n=35) | P value | HAIC+αPD-(L)1 (n=61) | SYS+αPD-(L)1 (n=26) | P value | ||
Sex | 0.70 | 0.58 | |||||
Male | 81 (55.10) | 18 (51.43) | 31 (50.82) | 15 (57.69) | |||
Female | 66 (44.90) | 17 (48.57) | 30 (49.18) | 11 (42.31) | |||
Age (years) | 0.79 | 0.80 | |||||
≤60 | 96 (65.31) | 22 (62.86) | 37 (60.66) | 15 (57.69) | |||
>60 | 51 (34.69) | 13 (37.14) | 24 (39.34) | 11 (42.31) | |||
HBV | 0.56 | 0.64 | |||||
Absent | 104 (70.75) | 23 (65.71) | 43 (70.49) | 17 (65.38) | |||
Present | 43 (29.25) | 12 (34.29) | 18 (29.51) | 9 (34.62) | |||
Child-Pugh stage | 0.10 | 0.76 | |||||
A | 130 (88.44) | 27 (77.14) | 51 (83.61) | 21 (80.77) | |||
B | 17 (11.56) | 8 (22.86) | 10 (16.39) | 5 (19.23) | |||
Tumor size (mm) | 0.34 | 0.87 | |||||
≤80 | 75 (51.02) | 21 (60.00) | 34 (55.74) | 15 (57.69) | |||
>80 | 72 (48.98) | 14 (40.00) | 27 (44.26) | 11 (42.31) | |||
Tumor number | 0.33 | 0.87 | |||||
≤3 | 55 (37.41) | 10 (28.57) | 20 (32.79) | 9 (34.62) | |||
>3 | 92 (62.59) | 25 (71.43) | 41 (67.21) | 17 (65.38) | |||
Tumor distribution | 0.01* | 0.44 | |||||
Unilobar | 80 (54.42) | 11 (31.43) | 29 (47.54) | 10 (38.46) | |||
Bilobar | 67 (45.58) | 24 (68.57) | 32 (52.46) | 16 (61.54) | |||
Macrovascular invasion | 0.96 | 0.72 | |||||
Absent | 93 (63.27) | 22 (62.86) | 40 (65.57) | 16 (61.54) | |||
Present | 54 (36.73) | 13 (37.14) | 21 (34.43) | 10 (38.46) | |||
Regional lymph node metastasis | 0.003* | 0.26 | |||||
Absent | 65 (44.22) | 6 (17.14) | 19 (31.15) | 5 (19.23) | |||
Present | 82 (55.78) | 29 (82.86) | 42 (68.85) | 21 (80.77) | |||
Distant lymph node metastasis | <0.001* | 0.44 | |||||
Absent | 124 (84.35) | 19 (54.29) | 47 (77.05) | 18 (69.23) | |||
Present | 23 (15.65) | 16 (45.71) | 14 (22.95) | 8 (30.77) | |||
Number of extrahepatic metastatic sites | <0.001* | 0.61 | |||||
0 | 110 (74.83) | 16 (45.71) | 38 (62.30) | 15 (57.69) | |||
1 | 31 (21.09) | 10 (28.57) | 18 (29.51) | 7 (26.92) | |||
2 | 6 (4.08) | 9 (25.71) | 5 (8.20) | 4 (15.38) | |||
CEA (ng/mL) | 0.49 | 0.73 | |||||
≤5 | 85 (57.82) | 18 (51.43) | 33 (54.10) | 13 (50.00) | |||
>5 | 62 (42.18) | 17 (48.57) | 28 (45.90) | 13 (50.00) | |||
CA19-9 (U/mL) | 0.11 | 0.62 | |||||
≤100 | 62 (42.18) | 20 (57.14) | 27 (44.26) | 13 (50.00) | |||
>100 | 85 (57.82) | 15 (42.86) | 34 (55.74) | 13 (50.00) | |||
Tumor differentiation | >0.99 | 0.92 | |||||
Well | 4 (2.72) | 1 (2.86) | 2 (3.28) | 1 (3.85) | |||
Moderately | 80 (54.42) | 19 (54.29) | 30 (49.18) | 15 (57.69) | |||
Poorly | 48 (32.65) | 12 (34.29) | 23 (37.70) | 8 (30.77) | |||
Not specified | 15 (10.20) | 3 (8.57) | 6 (9.84) | 2 (7.69) |
*, P<0.05. PSM, propensity score matching; HAIC+αPD-(L)1, HAIC-FO plus αPD-(L)1 antibody; HAIC-FO, HAIC with infusional FOLFOX regimens; HAIC, hepatic arterial infusion chemotherapy; FOLFOX, fluorouracil, leucovorin, and oxaliplatin; αPD-(L)1, anti-programmed death-(ligand) 1 immunotherapy; SYS+αPD-(L)1, SYS plus αPD-(L)1 antibody; SYS, systemic chemotherapy; HBV, hepatitis B virus; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9.
Table 2
Variables | HAIC+αPD-(L)1 (n=61) | SYS+αPD-(L)1 (n=26) |
---|---|---|
Chemotherapy | 10 (16.4) | 7 (26.9) |
Radiotherapy | 1 (1.6) | 2 (7.7) |
TACE | 1 (1.6) | 0 (0.0) |
Percutaneous thermal ablation | 1 (1.6) | 0 (0.0) |
TKI | 9 (14.8) | 2 (7.7) |
ICI | 4 (6.6) | 1 (3.8) |
TKI + ICI | 12 (19.7) | 4 (15.4) |
Chemotherapy + TKI | 0 (0.0) | 1 (3.8) |
Chemotherapy + ICI | 0 (0.0) | 1 (3.8) |
Chemotherapy + TKI + ICI | 2 (3.3) | 2 (7.7) |
Best supportive care | 21 (34.4) | 6 (23.1) |
Data are presented as n (%). HAIC+αPD-(L)1, HAIC-FO plus αPD-(L)1 antibody; HAIC-FO, HAIC with infusional FOLFOX regimens; HAIC, hepatic arterial infusion chemotherapy; FOLFOX, fluorouracil, leucovorin, and oxaliplatin; αPD-(L)1, anti-programmed death-(ligand) 1 immunotherapy; SYS+αPD-(L)1, SYS plus αPD-(L)1 antibody; SYS, systemic chemotherapy; TACE, transarterial chemoembolization; TKI, tyrosine kinase inhibitor; ICI, immune checkpoint inhibitor.
Survival analyses
Before PSM, the HAIC+αPD-(L)1 group exhibited a significantly longer median OS and PFS than did the SYS+αPD-(L)1 group (mOS: 16.6 vs. 12.2 months, P<0.001; mPFS: 9.6 vs. 6.9 months, P=0.008; Figure 2A,2B). The estimated OS rates for HAIC+αPD-(L)1 and SYS+αPD-(L)1 groups were 70.3% [95% confidence interval (CI): 63.2% to 78.1%] and 51.7% (95% CI: 37.1% to 71.9%) at 1 year, and 33.8% (95% CI: 26.3% to 43.5%) and 13.7% (95% CI: 5.19% to 36.0%) at 2 years, respectively. In the matched cohort, a significant difference in the mOS and mPFS persisted between the two groups (mOS: 14.5 vs. 10.5 months, P=0.02; mPFS: 10.4 vs. 6.4 months, P=0.02; Figure 2C,2D). The estimated OS rates for HAIC+αPD-(L)1 and SYS+αPD-(L)1 groups were 69.8% (95% CI: 59.0%, 82.5%) and 40.0% (95% CI: 24.7%, 64.6%) at 1 year, and 27.3% (95% CI: 6.76%, 43.5%) and 17.1% (95% CI: 6.76%, 43.5%) at 2 years, respectively (Table S3).

As shown in Figure 3, the median IPFS (mIPFS) in the HAIC+αPD-(L)1 group was significantly longer than that in the SYS+αPD-(L)1 group regardless of whether a PSM was performed (before PSM: 11.4 vs. 6.9 months, P<0.001; after PSM: 11.4 vs. 6.5 months, P<0.001).

The subgroup analyses related to OS and PFS after PSM are shown in Figure 4 and Figure S1, respectively. HAIC+αPD-(L)1 therapy showed a clinical benefit for OS in male patients [hazard ratio (HR) =0.22; 95% CI: 0.09–0.50; P<0.001], and patients with a tumor diameter >80 mm (HR =0.41; 95% CI: 0.18–0.91; P=0.03), macrovascular invasion (HR =0.32; 95% CI: 0.13–0.83; P=0.02) and a CEA level >5 ng/mL (HR =0.36; 95% CI: 0.17–0.74; P=0.006) benefited from HAIC+αPD-(L)1 therapy. Subgroup analysis of PFS revealed that male patients (HR =0.31; 95% CI: 0.15–0.65; P=0.002), patients with a tumor diameter >80 mm (HR =0.43; 95% CI: 0.20–0.93; P=0.03), with macrovascular invasion (HR =0.40; 95% CI: 0.17–0.93; P=0.03), with a CEA level >5 ng/mL (HR =0.38; 95% CI: 0.18–0.80; P=0.01) and with a CA19-9 level >100 U/mL (HR =0.26; 95% CI: 0.12–0.56; P<0.001) benefited from HAIC+αPD-(L)1 therapy.

Prognostic factors for OS and PFS in the HAIC+αPD-(L)1 group
As shown in Table 3, we performed univariate and multivariate analyses of factors affecting OS and PFS in the HAIC+αPD-(L)1 group. After adjusting for potential confounding factors, Child-Pugh class B (HR =2.22; 95% CI: 1.20–4.11; P=0.01), tumor distribution across liver lobes (HR =2.28; 95% CI: 1.48–3.53; P<0.001), distant lymph node metastasis (HR =1.92; 95% CI: 1.02–3.62; P=0.04), extrahepatic metastasis (HR =1.67; 95% CI: 1.03–2.70; P=0.04), and a CA19-9 level >100 U/mL (HR =2.24; 95% CI: 1.42–3.54; P<0.001) were found to be independent risk factors associated with OS, while Child-Pugh class B (HR =2.04; 95% CI: 1.13–3.70; P=0.02), the presence of >3 intrahepatic tumors (HR =2.07; 95% CI: 1.38–3.11; P<0.001) and a CA19-9 level >100 U/mL (HR =1.79; 95% CI: 1.16–2.75; P=0.008) were identified as independent risk factors associated with PFS.
Table 3
Characteristics | OS | PFS | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Univariable | Multivariable | Univariable | Multivariable | ||||||||
HR (95% CI) | P value | HR (95% CI) | P value | HR (95% CI) | P value | HR (95% CI) | P value | ||||
Sex (men/women) | 1.31 (0.88, 1.96) | 0.19 | 1.34 (0.94, 1.93) | 0.11 | |||||||
Age (>60/≤60 years) | 1.18 (0.79, 1.78) | 0.42 | 0.82 (0.56, 1.21) | 0.32 | |||||||
HBV (yes/no) | 1.08 (0.71, 1.66) | 0.71 | 1.41 (0.89, 2.21) | 0.14 | 1.05 (0.71, 1.54) | 0.81 | |||||
Child-Pugh stage (B/A) | 2.31 (1.33, 4.02) | 0.003 | 2.22 (1.20, 4.11) | 0.01* | 2.16 (1.27, 3.68) | 0.004 | 2.04 (1.13, 3.70) | 0.02* | |||
Tumor size (>80/≤80 mm) | 1.31 (0.88, 1.94) | 0.19 | 1.4 (0.98, 2.00) | 0.06 | |||||||
Tumor number (>3/≤3) | 1.97 (1.28, 3.04) | 0.002 | 2.01 (1.37, 2.95) | <0.001 | 2.07 (1.38, 3.11) | <0.001* | |||||
Tumor distribution (unilobar/bilobar) | 2.35 (1.55, 3.54) | <0.001 | 2.28 (1.48, 3.53) | <0.001* | 1.56 (1.08, 2.24) | 0.02 | |||||
Macrovascular invasion (yes/no) | 0.99 (0.66, 1.49) | 0.97 | 1.03 (0.71, 1.49) | 0.88 | |||||||
Regional lymph node metastasis (yes/no) | 1.52 (1.02, 2.28) | 0.04 | 1.41 (0.98, 2.02) | 0.07 | |||||||
Distant lymph node metastasis (yes/no) | 1.78 (0.99, 3.18) | 0.052 | 1.92 (1.02, 3.62) | 0.04* | 1.44 (0.87, 2.40) | 0.16 | |||||
Extrahepatic metastasis (yes/no) | 2.11 (1.37, 3.27) | <0.001 | 1.67 (1.03, 2.70) | 0.04* | 1.81 (1.21, 2.70) | 0.004 | |||||
CEA (>5/≤5 ng/mL) | 1.79 (1.20, 2.66) | 0.004 | 1.69 (1.18, 2.42) | 0.005 | 1.38 (0.91, 2.09) | 0.13 | |||||
CA19-9 (>100/≤100 U/mL) | 2.04 (1.34, 3.10) | <0.001 | 2.24 (1.42, 3.54) | <0.001* | 1.79 (1.24, 2.60) | 0.002 | 1.79 (1.16, 2.75) | 0.008* | |||
Poorly differentiation (yes/no) | 1.23 (0.81, 1.87) | 0.34 | 1.45 (0.93, 2.26) | 0.10 | 1.24 (0.84, 1.82) | 0.28 | 1.41 (0.95, 2.10) | 0.09 |
*, P<0.05. OS, overall survival; PFS, progression-free survival; HAIC+αPD-(L)1, HAIC-FO plus αPD-(L)1 antibody; HAIC-FO, HAIC with infusional FOLFOX regimens; HAIC, hepatic arterial infusion chemotherapy; FOLFOX, fluorouracil, leucovorin, and oxaliplatin; αPD-(L)1, anti-programmed death-(ligand) 1 immunotherapy; HR, hazard ratio; CI, confidence interval; HBV, hepatitis B virus; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9.
Radiological response rate
The patients’ tumor response evaluation results are detailed in Table 4. The ORR of the HAIC+αPD-(L)1 group was greater than that of the SYS+αPD-(L)1 group before (53.7% vs. 28.6%, P=0.007) and after (50.8% vs. 26.9%, P=0.04) PSM, but there was no significant difference in the DCR between the two groups (before PSM: 91.8% vs. 82.9%, P=0.11; after PSM: 91.8% vs. 84.6%, P=0.31).
Table 4
Best response | Before PSM | After PSM | |||||
---|---|---|---|---|---|---|---|
HAIC+αPD-(L)1 (n=147) | SYS+αPD-(L)1 (n=35) | P value | HAIC+αPD-(L)1 (n=61) | SYS+αPD-(L)1 (n=26) | P value | ||
CR | 1 (0.7) | 0 (0.0) | – | 1 (1.6) | 0 (0.0) | – | |
PR | 78 (53.1) | 10 (28.6) | – | 30 (49.2) | 7 (26.9) | – | |
SD | 56 (38.1) | 19 (54.3) | – | 25 (41.0) | 15 (57.7) | – | |
PD | 12 (8.2) | 6 (17.1) | – | 5 (8.2) | 4 (15.4) | – | |
ORR | 79 (53.7) | 10 (28.6) | 0.007* | 31 (50.8) | 7 (26.9) | 0.04* | |
DCR | 135 (91.8) | 29 (82.9) | 0.11 | 56 (91.8) | 22 (84.6) | 0.31 |
Data are presented as n (%). *, P<0.05. PSM, propensity score matching; HAIC+αPD-(L)1, HAIC-FO plus αPD-(L)1 antibody; HAIC-FO, HAIC with infusional FOLFOX regimens; HAIC, hepatic arterial infusion chemotherapy; FOLFOX, fluorouracil, leucovorin, and oxaliplatin; αPD-(L)1, anti-programmed death-(ligand) 1 immunotherapy; SYS+αPD-(L)1, SYS plus αPD-(L)1 antibody; SYS, systemic chemotherapy; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; ORR, objective response rate; DCR, disease control rate.
As shown in Figure 5, the mOS and mPFS of CR + PR, SD, and PD patients in the HAIC+αPD-(L)1 group were analyzed. The results show that the mOS and mPFS of CR + PR patients are significantly longer than those of SD (mOS: 18.6 vs. 11.2 months, P=0.005; mPFS: 13.0 vs. 6.9 months, P=0.004) and PD patients (mOS: 18.6 vs. 4.1 months, P<0.001; mPFS: 13.0 vs. 1.8 months, P<0.001).

As shown in Table S4, the progression of the disease is presented during the follow-up period. The results showed that the HAIC+αPD-(L)1 group mainly consisted of extrahepatic metastasis, which was significantly higher than the SYS+αPD-(L)1 group (34.0% vs. 11.4%, P=0.009) before PSM but no significant statistical difference after PSM (29.5% vs. 11.5%, P=0.07). On the contrary, the proportion of disease progression due to primary tumor was significantly lower in the HAIC+αPD-(L)1 group than in the SYS+αPD-(L)1 group before PSM (6.1% vs. 22.9%, P=0.002), and after PSM (4.9% vs. 26.9%, P=0.003).
Twenty-two out of 147 patients (15.0%) underwent radical surgery after receiving HAIC-FO combined with αPD-(L)1, including 3 (2.0%) undergoing ablation and 19 (13.0%) undergoing resection. Additionally, 19 out of 98 (19.4%) patients with locally advanced disease successfully underwent radical surgery, including 2 (2.0%) undergoing ablation and 17 (17.4%) undergoing resection. There were no patients who underwent radical surgery after receiving SYS combined αPD-(L)1. Twenty-two patients who underwent radical surgery after receiving HAIC-FO combined with αPD-(L)1, 11 (50.0%) ultimately experienced recurrence, including 4 (18.2%) with intrahepatic recurrence and 7 (31.8%) with extrahepatic recurrence.
AEs
As shown in Table 5, the incidences of AEs in the HAIC+αPD-(L)1 and SYS+αPD-(L)1 groups were 96.7% (59/61) and 100.0% (26/26), respectively (P=0.35). The incidences of grade 1–2 and 3–4 AEs were not significantly different between the two groups (1–2 AEs: 47.5% vs. 65.4%, P=0.13; 3–4 AEs: 49.2% vs. 46.2%, P=0.80). In the HAIC+αPD-(L)1 group, the most common AEs primarily associated with hepatic toxicity were an elevated AST level (67.2%), hypoalbuminemia (47.5%), and an elevated ALT level (44.3%). In the SYS+αPD-(L)1 group, the most frequent severe AEs primarily associated with systemic toxicity were anemia (61.5%), hypertension (53.8%), and proteinuria (46.2%). Notably, HAIC+αPD-(L)1 therapy significantly reduced the incidence of grade 3–4 systemic AEs, including anemia (P=0.04), leukopenia (P=0.01), weight loss (P=0.03), and fatigue (P=0.03). No patients in either group discontinued chemotherapy due to infusion-related complications, and there were no treatment-related deaths. All recorded AEs were either self-resolving or effectively managed with medications.
Table 5
Events | HAIC+αPD-(L)1 (n=61) | SYS+αPD-(L)1 (n=26) | P values | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Any grade | Grade 1/2 | Grade 3/4 | Any grade | Grade 1/2 | Grade 3/4 | Any grade | Grade 1/2 | Grade 3/4 | |||
Any AEs | 59 (96.7) | 29 (47.5) | 30 (49.2) | 26 (100.0) | 17 (65.4) | 12 (46.2) | 0.35 | 0.13 | 0.80 | ||
Elevated AST | 41 (67.2) | 29 (47.5) | 12 (19.7) | 9 (34.6) | 7 (26.9) | 2 (7.7) | 0.005* | 0.07 | 0.16 | ||
Hypoalbuminemia | 29 (47.5) | 29 (47.5) | 0 (0.0) | 5 (19.2) | 5 (19.2) | 0 (0.0) | 0.01* | 0.01* | – | ||
Elevated ALT | 27 (44.3) | 20 (32.8) | 7 (11.5) | 5 (19.2) | 4 (15.4) | 1 (3.8) | 0.03* | 0.10 | 0.26 | ||
Hypertension | 27 (44.3) | 21 (34.4) | 6 (9.8) | 14 (53.8) | 13 (50.0) | 1 (3.8) | 0.41 | 0.17 | 0.35 | ||
Neutropenia | 27 (44.3) | 12 (19.7) | 15 (24.6) | 6 (23.1) | 4 (15.4) | 2 (7.7) | 0.06 | 0.64 | 0.07 | ||
Anemia | 27 (44.3) | 25 (41.0) | 2 (3.3) | 16 (61.5) | 12 (46.2) | 4 (15.4) | 0.14 | 0.66 | 0.04* | ||
Pain abdominal | 26 (42.6) | 26 (42.6) | 0 (0.0) | 9 (34.6) | 9 (34.6) | 0 (0.0) | 0.49 | 0.49 | – | ||
Leukopenia | 22 (36.1) | 20 (32.8) | 2 (3.3) | 11 (42.3) | 6 (23.1) | 5 (19.2) | 0.58 | 0.37 | 0.01* | ||
Thrombocytopenia | 22 (36.1) | 16 (26.2) | 6 (9.8) | 5 (19.2) | 3 (11.5) | 2 (7.7) | 0.12 | 0.13 | 0.75 | ||
Fever | 20 (32.8) | 18 (29.5) | 2 (3.3) | 9 (34.6) | 9 (34.6) | 0 (0.0) | 0.87 | 0.64 | 0.35 | ||
Weight loss | 18 (29.5) | 18 (29.5) | 0 (0.0) | 10 (38.5) | 8 (30.8) | 2 (7.7) | 0.41 | 0.91 | 0.03* | ||
Proteinuria | 14 (23.0) | 14 (23.0) | 0 (0.0) | 12 (46.2) | 12 (46.2) | 0 (0.0) | 0.03* | 0.03* | – | ||
Vomiting | 12 (19.7) | 12 (19.7) | 0 (0.0) | 3 (11.5) | 3 (11.5) | 0 (0.0) | 0.36 | 0.36 | – | ||
Elevated total bilirubin | 11 (18.0) | 10 (16.4) | 1 (1.6) | 5 (19.2) | 5 (19.2) | 1 (3.8) | 0.90 | 0.75 | 0.53 | ||
Elevated creatinine | 10 (16.4) | 9 (14.8) | 1 (1.6) | 7 (26.9) | 7 (26.9) | 0 (0.0) | 0.26 | 0.18 | 0.51 | ||
Fatigue | 7 (11.5) | 7 (11.5) | 0 (0.0) | 8 (30.8) | 6 (23.1) | 2 (7.7) | 0.03* | 0.17 | 0.03* | ||
Dizziness | 6 (9.8) | 6 (9.8) | 0 (0.0) | 2 (7.7) | 2 (7.7) | 0 (0.0) | 0.75 | 0.75 | – | ||
Elevated INR | 6 (9.8) | 6 (9.8) | 0 (0.0) | 7 (26.9) | 7 (26.9) | 0 (0.0) | 0.04* | 0.04* | – | ||
Nausea | 6 (9.8) | 6 (9.8) | 0 (0.0) | 2 (7.7) | 2 (7.7) | 0 (0.0) | 0.75 | 0.75 | – | ||
Pruritus | 6 (9.8) | 6 (9.8) | 0 (0.0) | 4 (15.4) | 3 (11.5) | 1 (3.8) | 0.46 | 0.81 | 0.12 | ||
Abdominal distension | 4 (6.6) | 4 (6.6) | 0 (0.0) | 2 (7.7) | 2 (7.7) | 0 (0.0) | 0.85 | 0.85 | – | ||
Constipation | 4 (6.6) | 4 (6.6) | 0 (0.0) | 1 (3.8) | 1 (3.8) | 0 (0.0) | 0.62 | 0.62 | – | ||
Rash | 4 (6.6) | 4 (6.6) | 0 (0.0) | 2 (7.7) | 2 (7.7) | 0 (0.0) | 0.85 | 0.85 | – | ||
Diarrhea | 2 (3.3) | 2 (3.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0.35 | 0.35 | – |
Data are presented as n (%). *, P<0.05. AE, adverse event; HAIC+αPD-(L)1, HAIC-FO plus αPD-(L)1 antibody; HAIC-FO, HAIC with infusional FOLFOX regimens; HAIC, hepatic arterial infusion chemotherapy; FOLFOX, fluorouracil, leucovorin, and oxaliplatin; αPD-(L)1, anti-programmed death-(ligand) 1 immunotherapy; SYS+αPD-(L)1, SYS plus αPD-(L)1 antibody; SYS, systemic chemotherapy; AST, aspartate transaminase; ALT, alanine transaminase; INR, international normalized ratio.
Additionally, as shown in Figure S2, survival analysis was conducted on patients in the HAIC+αPD-(L)1 group based on the level of AEs, and the results showed that patients who experienced 3–4 grade AEs had no significant difference in OS and PFS compared to those who experienced 1–2 grade AEs (OS: 16.6 vs. 14.3 months, P=0.81; PFS: 8.9 vs. 10.2 months, P=0.68).
Discussion
In this study, we observed that the combination of HAIC-FO with αPD-(L)1 demonstrated a significant enhancement in treatment efficacy for uICC patients compared to SYS combined with αPD-(L)1. This was evidenced by a higher ORR, as well as prolonged PFS and OS. Moreover, HAIC-FO combined with αPD-(L)1 exhibited favorable tolerability in uICC patients. Notably, the incidence of grade 3–4 systemic AEs such as anemia, leukopenia, fatigue, and weight loss was reduced in the group receiving HAIC-FO combined with αPD-(L)1. Therefore, considering its safety and effectiveness profile, the combination of HAIC-FO with anti-PD-(L)1 therapy could be considered as a viable first-line treatment option for uICC patients.
Recently, in two large randomized clinical trials, the combination of SYS and anti-PD-(L)1 therapy has demonstrated enhanced first-line clinical efficacy in patients with advanced biliary tract cancer, including uICC (26). A global phase III randomized controlled trial, known as TOPAZ-1, reported that GEMCIS chemotherapy plus durvalumab, an anti-PD-L1 antibody, as a first-line treatment for advanced biliary tract cancer significantly improved survival (mOS: 12.8 vs. 11.5 months, P=0.02; mPFS: 7.2 vs. 5.7 months, P=0.001) compared to GEMCIS chemotherapy alone (5). The KEYNOTE-966 trial, another randomized phase III study, revealed that the combination of pembrolizumab, an anti-PD-1 antibody with GEMCIS chemotherapy as a first-line therapy for patients with advanced biliary tract cancer resulted in a statistically significant and clinically meaningful improvement in OS (12.7 vs. 10.9 months, P=0.003) (6). In this study, patients treated with HAIC-FO combined with anti-PD-(L)1 therapy had a mOS of 14.5 months and a mPFS of 10.4 months. These survival times were longer than those observed in the TOPAZ-1 and KEYNOTE-966 trials, suggesting that HAIC combined with anti-PD-(L)1 therapy is a promising first-line treatment option for uICC patients. Notably, the mOS of the SYS+αPD-(L)1 group in our study was comparatively lower, at only 10.5 months. A recent real-world study focusing on uICC patients reported a similar mOS of 10.7 months for SYS combined with anti-PD-(L)1 antibodies (27). Therefore, it is plausible that the results obtained from clinical trials conducted under stringent control environments and conditions may have potentially overestimated the treatment effect in actual medical practice, which could elucidate the observed lower efficacy of SYS combined with anti-PD-(L)1 antibodies in real-world studies.
Some studies have demonstrated that HAIC is effective in controlling liver disease in patients with ICC (18,28,29). In this study, we adopted IPFS because it is an important indicator for evaluating the control of intrahepatic tumors. It was found that the mIPFS in the HAIC-FO+αPD-(L)1 treatment group was significantly longer than that in the SYS+αPD-(L)1 group regardless of whether a PSM was performed (before PSM: 11.4 vs. 6.9 months, P<0.001; after PSM: 11.4 vs. 6.5 months, P<0.001). In the HAIC-FO+αPD-(L)1 group, the IPFS was longer than the PFS before (11.4 vs. 9.6 months) and after PSM (11.4 vs. 10.4 months), indicating that the combination of HAIC-FO and anti-PD-(L)1 therapy may provide a more effective control over intrahepatic lesions. In addition, subgroup analyses focusing on survival revealed that HAIC-FO combined with anti-PD-(L)1 therapy conferred a survival advantage, especially in patients with high intrahepatic tumor burden (>80 mm diameter), and without extrahepatic organ metastases, consistent with previous findings—highlighting the potential advantage of HAIC in effectively controlling intrahepatic tumors through localized treatment, thereby creating more time and opportunities for systemic therapies (28,30,31).
Historically, HAIC has made progress to some extent; however, it has faced challenges in becoming mainstream due to early technical limitations, lack of standardization, and competition from systemic therapies. Recent advancements highlight its promising future. For example, HAIC combination with systemic therapies, particularly immunotherapy, has shown survival benefits and the potential to enhance immune responses by transforming “cold tumors” into “hot tumors” (32-34). Additionally, Technological innovations, such as precise drug delivery and novel agents like nanomedicine, are expected to improve its efficacy and safety (35-37). Moreover, HAIC integration into multidisciplinary treatment (MDT) strategies as neoadjuvant or adjuvant therapy could expand its applications. With validation from large-scale clinical trials, HAIC holds great promise as a key treatment option in the era of precision medicine.
The FOLFOX regimen was selected as the chemotherapy protocol for HAIC treatment in this study, primarily based on the following considerations. First, the FOLFOX regimen has been shown to be effective and safe when administered intra-arterially in HAIC (11,13,14,38). In contrast, gemcitabine and cisplatin are generally used in SYS, and their use in HAIC is less established. Second, cisplatin is known for its nephrotoxicity and potential hepatotoxicity, which can be more pronounced when delivered directly to the liver (39). Oxaliplatin may have a more favorable safety profile for intrahepatic administration, making it a more suitable choice for HAIC in patients with compromised liver function, as is often the case in uICC. Third, several studies have investigated the use of FOLFOX in HAIC for ICC, showing promising results in terms of tumor control and survival outcomes (40-43). Finally, as this is a retrospective study, our primary objective was to assess real-world outcomes based on the existing clinical practices at our institution, where FOLFOX is the preferred regimen for HAIC in uICC patients. This choice ensures consistency in treatment protocols and allows for a more accurate evaluation of FOLFOX-based HAIC outcomes.
The findings of this study suggest that HAIC-FO may be a more suitable option, compared to SYS, when combined with anti-PD-(L)1 therapy for the treatment of uICC. This observation can potentially be attributed to various underlying mechanisms. Firstly, HAIC enhances the enrichment of chemotherapy drugs in tumors and promotes tumor cell death, leading to the release of tumor antigens and proinflammatory cytokines. The transformation of an immunosuppressed “cold tumor” into an immunogenic “hot tumor” enhances the immune response (44). Secondly, the reduction in antitumor lymphocytes that can be associated with systemic high-dose chemotherapy may potentially impact the efficacy of anti-PD-(L)1 antibodies. In contrast, the localized administration of HAIC, which typically causes less immune-system suppression, might support the antitumor activity of anti-PD-(L)1 antibodies (45). Lastly, HAIC-FO therapy, which includes oxaliplatin and 5-fluorouracil (5-FU), enhances anti-PD-(L)1 therapy by leveraging oxaliplatin’s immunogenic properties and 5-FU’s reduction of tumor immunosuppression by depleting myeloid-derived suppressor cells (46-48). This combination has shown efficacy in preclinical models of colorectal and gastric cancer (49,50). In our study, most patients (73.1%) in the SYS+αPD-(L)1 group received the GEMCIS regimen (cisplatin and gemcitabine), where cisplatin is less immunogenic than oxaliplatin, and gemcitabine inhibits T-cell infiltration, potentially reducing anti-PD-(L)1 efficacy (51-53). Therefore, it is suggested that FOLFOX regimen may be more suitable for combination with anti-PD-(L)1 antibodies compared to GEMCIS. However, further preclinical studies are necessary to elucidate the underlying mechanisms guiding the treatment of uICC patients.
In addition to efficacy, safety was also investigated. Almost all patients (97.7%) experienced at least one AE. The common AEs observed in the SYS+αPD-(L)1 group were consistent with those reported in previous studies of SYS plus anti-PD-(L)1 antibodies, including elevated AST or ALT levels, anemia, leukopenia, and fatigue (5,6). Overall, there was no significant difference in the incidence of any grade AEs and grade 3–4 AEs between the HAIC+αPD-(L)1 and SYS+αPD-(L)1 treatment groups. However, it is worth noting that the HAIC+αPD-(L)1 group had a significantly lower occurrence of systemic AEs such as anemia, leukopenia, weight loss, and fatigue. One possible explanation for this disparity is that HAIC allows direct delivery of chemotherapy drugs to the liver and their clearance through the “first-pass effect”, resulting in relatively low drug concentrations in peripheral blood and reduced damage to various body systems. Additionally, we performed a survival analysis of patients in the HAIC+αPD-(L)1 group based on the level of AEs, and the results showed that patients who experienced 3–4 grade AEs had no significant difference in OS and PFS compared to those who experienced 1–2 grade AEs. We consider that this may be due to effective management and supportive treatment provided after the occurrence of 3–4 grade AEs, which would not have a significant impact on the patients’ long-term prognosis. These findings may encourage clinicians to continue to advance this potentially effective treatment regimen, based on close monitoring and management of AEs.
In this study, no catheter-related AEs were observed, which may be attributed to the implementation of a comprehensive set of stringent catheter management protocols at Sun Yat-sen University Cancer Center, including standardized aseptic techniques, regular checks of catheter position and function, and timely handling of potential infection risks. Moreover, the team in Sun Yat-sen University Cancer Center consists of oncologists, interventional radiologists, and nursing staff who collaborate on catheter placement, maintenance, and monitoring. However, it must be acknowledged that a small sample size may also lead to the exclusion of patients who have experienced catheter-related AEs from this study. The above factors may explain why no catheter-related AEs occurred in this study. However, it is worth noting that effective catheter management may have a learning curve, and for teams newly implementing HAIC treatment, a period of adaptation may be necessary to achieve comparable outcomes in catheter management.
There are some limitations in this study. Firstly, this was a retrospective, single-center study, which may have introduced unknown selection bias and reduced generalizability. Although we performed PSM, we were unable to eliminate all potential biases; therefore, prospective studies or randomized controlled trials are needed to confirm the results of this study. Secondly, the utilization of various types of anti-PD-(L)1 antibodies in this study might have influenced the results to some extent due to drug heterogeneity. Lastly, the limited sample size of this study, particularly after PSM implementation, led to partial data loss that could have impacted the power of efficacy assessment.
Conclusions
In summary, the study suggests that HAIC-FO combined with anti-PD-(L)1 therapy may be more effective than SYS combined with anti-PD-(L)1 therapy in improving outcomes for patients with uICC, while maintaining an acceptable safety profile. These findings could offer valuable insights to inform treatment decisions in clinical practice. However, prospective randomized controlled studies are necessary to further elucidate the potential role of HAIC-FO combined with anti-PD-(L)1 antibody therapy in uICC patients.
Acknowledgments
None.
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-552/rc
Data Sharing Statement: Available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-552/dss
Peer Review File: Available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-552/prf
Funding: This study was supported by
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jgo.amegroups.com/article/view/10.21037/jgo-24-552/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Review Committee of the Sun Yat-sen University Cancer Center (No. G2024-080-01), and individual consent for this retrospective analysis was waived.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Moris D, Palta M, Kim C, et al. Advances in the treatment of intrahepatic cholangiocarcinoma: An overview of the current and future therapeutic landscape for clinicians. CA Cancer J Clin 2023;73:198-222. [Crossref] [PubMed]
- NCCN. NCCN Clinical Practice Guidelines in Oncology. Hepatobiliary Cancers (Version 2, 2022). Available online: https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1438
- Vogel A, Bridgewater J, Edeline J, et al. Biliary tract cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol 2023;34:127-40. [Crossref] [PubMed]
- Benson AB, D'Angelica MI, Abrams T, et al. NCCN Guidelines® Insights: Biliary Tract Cancers, Version 2.2023. J Natl Compr Canc Netw 2023;21:694-704. [Crossref] [PubMed]
- Oh DY, Ruth He A, Qin S, et al. Durvalumab plus Gemcitabine and Cisplatin in Advanced Biliary Tract Cancer. NEJM Evid 2022;1:EVIDoa2200015.
- Kelley RK, Ueno M, Yoo C, et al. Pembrolizumab in combination with gemcitabine and cisplatin compared with gemcitabine and cisplatin alone for patients with advanced biliary tract cancer (KEYNOTE-966): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet 2023;401:1853-65. [Crossref] [PubMed]
- Zhang D, Dorman K, Westphalen CB, et al. Unresectable biliary tract cancer: Current and future systemic therapy. Eur J Cancer 2024;203:114046. [Crossref] [PubMed]
- Mathios D, Kim JE, Mangraviti A, et al. Anti-PD-1 antitumor immunity is enhanced by local and abrogated by systemic chemotherapy in GBM. Sci Transl Med 2016;8:370ra180. [Crossref] [PubMed]
- Salas-Benito D, Pérez-Gracia JL, Ponz-Sarvisé M, et al. Paradigms on Immunotherapy Combinations with Chemotherapy. Cancer Discov 2021;11:1353-67. [Crossref] [PubMed]
- Scott A, Wong P, Melstrom LG. Surgery and hepatic artery infusion therapy for intrahepatic cholangiocarcinoma. Surgery 2023;174:113-5. [Crossref] [PubMed]
- Kern W, Beckert B, Lang N, et al. Phase I and pharmacokinetic study of hepatic arterial infusion with oxaliplatin in combination with folinic acid and 5-fluorouracil in patients with hepatic metastases from colorectal cancer. Ann Oncol 2001;12:599-603. [Crossref] [PubMed]
- Wang X, Hu J, Cao G, et al. Phase II Study of Hepatic Arterial Infusion Chemotherapy with Oxaliplatin and 5-Fluorouracil for Advanced Perihilar Cholangiocarcinoma. Radiology 2017;283:580-9. [Crossref] [PubMed]
- Lyu N, Kong Y, Mu L, et al. Hepatic arterial infusion of oxaliplatin plus fluorouracil/leucovorin vs. sorafenib for advanced hepatocellular carcinoma. J Hepatol 2018;69:60-9. [Crossref] [PubMed]
- Lyu N, Wang X, Li JB, et al. Arterial Chemotherapy of Oxaliplatin Plus Fluorouracil Versus Sorafenib in Advanced Hepatocellular Carcinoma: A Biomolecular Exploratory, Randomized, Phase III Trial (FOHAIC-1). J Clin Oncol 2022;40:468-80. [Crossref] [PubMed]
- Owen M, Makary MS, Beal EW. Locoregional Therapy for Intrahepatic Cholangiocarcinoma. Cancers (Basel) 2023;15:2384. [Crossref] [PubMed]
- Massani M, Bonariol L, Stecca T. Hepatic Arterial Infusion Chemotherapy for Unresectable Intrahepatic Cholangiocarcinoma, a Comprehensive Review. J Clin Med 2021;10:2552. [Crossref] [PubMed]
- Konstantinidis IT, Groot Koerkamp B, Do RK, et al. Unresectable intrahepatic cholangiocarcinoma: Systemic plus hepatic arterial infusion chemotherapy is associated with longer survival in comparison with systemic chemotherapy alone. Cancer 2016;122:758-65. [Crossref] [PubMed]
- Cercek A, Boerner T, Tan BR, et al. Assessment of Hepatic Arterial Infusion of Floxuridine in Combination With Systemic Gemcitabine and Oxaliplatin in Patients With Unresectable Intrahepatic Cholangiocarcinoma: A Phase 2 Clinical Trial. JAMA Oncol 2020;6:60-7. [Crossref] [PubMed]
- Li Z, Xu R, Chang X, et al. Hepatic Arterial Infusion Chemotherapy Plus Systemic Chemotherapy versus Systemic Chemotherapy Alone for Intrahepatic Cholangiocarcinoma with extrahepatic oligo-metastasis: a propensity score matching analysis. J Vasc Interv Radiol 2024;35:416-427.e17. [Crossref] [PubMed]
- Judge SJ, Ghalambor T, Cavnar MJ, et al. Current Practices in Hepatic Artery Infusion (HAI) Chemotherapy: An International Survey of the HAI Consortium Research Network. Ann Surg Oncol 2023;30:7362-70. [Crossref] [PubMed]
- Chao Y, Liang C, Tao H, et al. Localized cocktail chemoimmunotherapy after in situ gelation to trigger robust systemic antitumor immune responses. Sci Adv 2020;6:eaaz4204. [Crossref] [PubMed]
- Kar A, Jain D, Kumar S, et al. A localized hydrogel-mediated chemotherapy causes immunogenic cell death via activation of ceramide-mediated unfolded protein response. Sci Adv 2023;9:eadf2746. [Crossref] [PubMed]
- Nagtegaal ID, Odze RD, Klimstra D, et al. The 2019 WHO classification of tumours of the digestive system. Histopathology 2020;76:182-8. [Crossref] [PubMed]
- NCCN. NCCN Clinical Practice Guidelines in Oncology. Hepatobiliary Cancers (Version 2, 2022). Available online: XXXXXXXX
- Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 2009;45:228-47. [Crossref] [PubMed]
- Merters J, Lamarca A. Integrating cytotoxic, targeted and immune therapies for cholangiocarcinoma. J Hepatol 2023;78:652-7. [Crossref] [PubMed]
- Lei Z, Ma W, Si A, et al. Effect of different PD-1 inhibitor combination therapies for unresectable intrahepatic cholangiocarcinoma. Aliment Pharmacol Ther 2023;58:611-22. [Crossref] [PubMed]
- Franssen S, Holster JJ, Jolissaint JS, et al. Gemcitabine with Cisplatin Versus Hepatic Arterial Infusion Pump Chemotherapy for Liver-Confined Unresectable Intrahepatic Cholangiocarcinoma. Ann Surg Oncol 2024;31:115-24. [Crossref] [PubMed]
- Franssen S, Soares KC, Jolissaint JS, et al. Comparison of Hepatic Arterial Infusion Pump Chemotherapy vs Resection for Patients With Multifocal Intrahepatic Cholangiocarcinoma. JAMA Surg 2022;157:590-6. [Crossref] [PubMed]
- Ishii M, Itano O, Morinaga J, et al. Potential efficacy of hepatic arterial infusion chemotherapy using gemcitabine, cisplatin, and 5-fluorouracil for intrahepatic cholangiocarcinoma. PLoS One 2022;17:e0266707. [Crossref] [PubMed]
- Rossi AJ, Khan TM, Luna AJ, et al. Hepatic Artery Infusion Pump (HAIP) Therapy Versus Chemotherapy in the First-Line Setting for Patients with Unresectable Intrahepatic Cholangiocarcinoma. Ann Surg Oncol 2022;29:35-6. [Crossref] [PubMed]
- Lin Z, Chen D, Hu X, et al. Clinical efficacy of HAIC (FOLFOX) combined with lenvatinib plus PD-1 inhibitors vs. TACE combined with lenvatinib plus PD-1 inhibitors in the treatment of advanced hepatocellular carcinoma with portal vein tumor thrombus and arterioportal fistulas. Am J Cancer Res 2023;13:5455-65. [PubMed]
- Yuan Y, He W, Yang Z, et al. TACE-HAIC combined with targeted therapy and immunotherapy versus TACE alone for hepatocellular carcinoma with portal vein tumour thrombus: a propensity score matching study. Int J Surg 2023;109:1222-30. [Crossref] [PubMed]
- Zuo M, Zheng G, Cao Y, et al. Hepatic arterial chemotherapy infusion combined with tyrosine kinase inhibitors and PD-1 inhibitors for advanced hepatocellular carcinoma with high-risk: A propensity score matching study. Int J Surg 2024;111:104-12. [Crossref] [PubMed]
- Hao Y, Zhu W, Li J, et al. Sustained release hypoxia-activated prodrug-loaded BSA nanoparticles enhance transarterial chemoembolization against hepatocellular carcinoma. J Control Release 2024;372:155-67. [Crossref] [PubMed]
- Xu M, Qi Y, Liu G, et al. Size-Dependent In Vivo Transport of Nanoparticles: Implications for Delivery, Targeting, and Clearance. ACS Nano 2023;17:20825-49. [Crossref] [PubMed]
- Shi Q, Zhang W, Zhou Y, et al. Hypoxia-activated cascade nanovaccine for synergistic chemoembolization-immune therapy of hepatocellular carcinoma. Biomaterials 2024;306:122480. [Crossref] [PubMed]
- Li QJ, He MK, Chen HW, et al. Hepatic Arterial Infusion of Oxaliplatin, Fluorouracil, and Leucovorin Versus Transarterial Chemoembolization for Large Hepatocellular Carcinoma: A Randomized Phase III Trial. J Clin Oncol 2022;40:150-60. [Crossref] [PubMed]
- Qi L, Luo Q, Zhang Y, et al. Advances in Toxicological Research of the Anticancer Drug Cisplatin. Chem Res Toxicol 2019;32:1469-86. [Crossref] [PubMed]
- Wei Z, Wang Y, Wu B, et al. Hepatic arterial infusion chemotherapy plus lenvatinib with or without programmed cell death protein-1 inhibitors for advanced cholangiocarcinoma. Front Immunol 2023;14:1235724. [Crossref] [PubMed]
- Zhao R, Zhou J, Miao Z, et al. Efficacy and safety of lenvatinib plus durvalumab combined with hepatic arterial infusion chemotherapy for unresectable intrahepatic cholangiocarcinoma. Front Immunol 2024;15:1397827. [Crossref] [PubMed]
- Li S, Deng M, Wang Q, et al. Transarterial Infusion Chemotherapy with FOLFOX Could be an Effective and Safe Treatment for Unresectable Intrahepatic Cholangiocarcinoma. J Oncol 2022;2022:2724476. [Crossref] [PubMed]
- Cai Z, He C, Zhao C, et al. Survival Comparisons of Hepatic Arterial Infusion Chemotherapy With mFOLFOX and Transarterial Chemoembolization in Patients With Unresectable Intrahepatic Cholangiocarcinoma. Front Oncol 2021;11:611118. [Crossref] [PubMed]
- Galluzzi L, Humeau J, Buqué A, et al. Immunostimulation with chemotherapy in the era of immune checkpoint inhibitors. Nat Rev Clin Oncol 2020;17:725-41. [Crossref] [PubMed]
- Ensminger WD, Gyves JW. Clinical pharmacology of hepatic arterial chemotherapy. Semin Oncol 1983;10:176-82. [PubMed]
- Tesniere A, Schlemmer F, Boige V, et al. Immunogenic death of colon cancer cells treated with oxaliplatin. Oncogene 2010;29:482-91. [Crossref] [PubMed]
- Zhu H, Shan Y, Ge K, et al. Oxaliplatin induces immunogenic cell death in hepatocellular carcinoma cells and synergizes with immune checkpoint blockade therapy. Cell Oncol (Dordr) 2020;43:1203-14. [Crossref] [PubMed]
- Vincent J, Mignot G, Chalmin F, et al. 5-Fluorouracil selectively kills tumor-associated myeloid-derived suppressor cells resulting in enhanced T cell-dependent antitumor immunity. Cancer Res 2010;70:3052-61. [Crossref] [PubMed]
- Dosset M, Vargas TR, Lagrange A, et al. PD-1/PD-L1 pathway: an adaptive immune resistance mechanism to immunogenic chemotherapy in colorectal cancer. Oncoimmunology 2018;7:e1433981. [Crossref] [PubMed]
- Kim W, Chu TH, Nienhüser H, et al. PD-1 Signaling Promotes Tumor-Infiltrating Myeloid-Derived Suppressor Cells and Gastric Tumorigenesis in Mice. Gastroenterology 2021;160:781-96. [Crossref] [PubMed]
- Xue Y, Gao S, Gou J, et al. Platinum-based chemotherapy in combination with PD-1/PD-L1 inhibitors: preclinical and clinical studies and mechanism of action. Expert Opin Drug Deliv 2021;18:187-203. [Crossref] [PubMed]
- Seifert L, Werba G, Tiwari S, et al. The necrosome promotes pancreatic oncogenesis via CXCL1 and Mincle-induced immune suppression. Nature 2016;532:245-9. [Crossref] [PubMed]
- Glorieux C, Xia X, You X, et al. Cisplatin and gemcitabine exert opposite effects on immunotherapy with PD-1 antibody in K-ras-driven cancer. J Adv Res 2022;40:109-24. [Crossref] [PubMed]