Back to Journals » Journal of Hepatocellular Carcinoma » Volume 13
The Impact of Spatiotemporal Patterns of Tumor Recurrence on Prognosis in Hepatocellular Carcinoma Patients Undergoing Surgery After Conversion Therapy
Authors Chen Z
, Zheng H, Piao M, Zhang L, Sun Y, Zhang K, Zhang J
, Liu Y, Xu Y, Lu X
Received 7 February 2026
Accepted for publication 1 April 2026
Published 9 April 2026 Volume 2026:13 599046
DOI https://doi.org/10.2147/JHC.S599046
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Ali Hosni
Zhihong Chen,* Han Zheng,* Mingjian Piao,* Longhao Zhang, Yuxiao Sun, Kai Zhang, Junwei Zhang, Yaoge Liu, Yiyao Xu, Xin Lu
Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yiyao Xu, Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, People’s Republic of China, Email [email protected] Xin Lu, Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, People’s Republic of China, Email [email protected]
Purpose: To characterize the spatiotemporal patterns of recurrence and assess their impact on survival in hepatocellular carcinoma (HCC) patients undergoing curative resection after conversion therapy.
Methods: We retrospectively analyzed 80 HCC patients who achieved successful conversion and underwent resection between January 2019 and February 2025. Recurrence was classified by timing (early ≤ 10.5 months vs. late > 10.5 months, determined by maximally selected log-rank statistics) and location (intrahepatic vs. extrahepatic) of the first recurrence. Exploratory analyses were also conducted using a 12-month cutoff to align with clinical practice. Post-recurrence survival (PRS), overall survival, and recurrence-free survival were evaluated using Kaplan-Meier analysis. The multivariable Cox models were used to calculate the adjusted hazard ratio and 95% confidence interval for PRS.
Results: Recurrence occurred in 52.5% of patients. Early recurrence was associated with significantly worse PRS than late recurrence (P = 0.04). Although no significant difference in PRS was observed between subgroups when using a 12-month cutoff (P = 0.1) for the small sample size, this factor still showed a trend toward significance. Extrahepatic recurrence conferred poorer survival than intrahepatic recurrence (P < 0.0001). Combined spatiotemporal analysis revealed that early extrahepatic recurrence had the worst prognosis, while all late recurrences showed favorable outcomes. Multivariable Cox regression analysis confirmed that the later time recurrence was independently associated with better PRS.
Conclusion: In this cohort, time to recurrence is the dominant prognostic factor, with recurrence site providing additional stratification. These findings support the use of spatiotemporal recurrence patterns for risk-adapted surveillance and adjuvant strategies.
Keywords: hepatocellular carcinoma, conversion therapy, surgical resection, patterns of recurrence, survival prognosis
Introduction
Hepatocellular carcinoma (HCC) remains the third leading cause of cancer-related mortality worldwide and typically arises in the context of chronic liver disease, such as hepatitis B or C, metabolic dysfunction-associated steatohepatitis, or alcohol-related liver disease.1 The pathogenesis of HCC is complex and not yet fully understood.2,3 Moreover, a large proportion of patients present with unresectable advanced HCC at initial diagnosis. For these patients, conversion therapy, comprising systemic therapies including tyrosine kinase inhibitors and immune checkpoint inhibitors, as well as locoregional interventions such as transarterial chemoembolization or hepatic artery infusion chemotherapy, has emerged as a promising strategy to downstage tumors and enable salvage liver resection.4–6
Despite achieving R0 resection, nearly 50–70% of patients experience tumor recurrence within two years, which substantially diminishes the survival benefit of conversion therapy.7 Multiple factors critically influence the risk of postoperative HCC recurrence. Persistent replication of hepatitis B virus (HBV) or hepatitis C virus (HCV), along with the associated chronic liver inflammation, can promote tumor development.8 Consequently, standardized antiviral therapy plays a significant role in reducing recurrence risk.9 Elevated preoperative alpha-fetoprotein (AFP) levels have been widely confirmed as a strong predictor of poor prognosis and early recurrence.10,11 Further studies have demonstrated that both baseline and recurrent AFP levels, as well as their dynamic changes, are important prognostic indicators for overall survival (OS) and post-recurrence survival (PRS) in patients undergoing repeat liver resection.12 Additionally, the tumor burden score (TBS), a comprehensive assessment tool, has proven effective in predicting clinical outcomes after HCC resection.13,14 A high TBS is not only associated with higher recurrence rates and poorer OS but also correlates with more aggressive recurrence patterns, including early recurrence, multifocal intrahepatic recurrence, and extrahepatic metastasis.15
Importantly, recurrence is heterogeneous in both its biological underpinnings and clinical presentation. Accumulating evidence indicates that the timing (early vs. late) and location (intrahepatic vs. extrahepatic) of recurrence reflect distinct underlying tumor biology. Early recurrence is typically driven by invasive micro metastasis or intrahepatic dissemination, whereas late recurrence more often results from de novo tumor development in the setting of chronic liver disease. Notably, early extrahepatic recurrence after surgical resection is associated with particularly poor prognosis.16
Although multiple predictive models have been developed to guide risk stratification and adjuvant therapy for HCC recurrence, these models are predominantly derived from cohorts undergoing direct surgical resection and thus do not fully capture the unique invasive biology of initially unresectable HCC.17–20 Moreover, existing studies have largely examined the timing or location of recurrence in isolation, without systematically characterizing their combined spatiotemporal patterns, particularly in patients undergoing resection after conversion therapy.21,22 Consequently, the prognostic significance of specific spatiotemporal recurrence phenotypes in this population remains unclear.
In this study, we aim to describe the spatiotemporal heterogeneity of tumor recurrence and evaluate its impact on the PRS of HCC patients who undergo curative resection following successful conversion therapy. By depicting high-risk recurrence patterns, our findings can provide information for risk stratification and monitoring strategies.
Materials and Methods
Patient Selection and Data Collection
This study is a single-center, retrospective, real-world exploratory analysis of patients diagnosed with HCC who underwent conversion surgery at Peking Union Medical College Hospital between January 2019 and February 2025. The data, including demographic characteristics, clinicopathological features, recurrence patterns, and survival outcomes, were collected through a comprehensive review of medical records and subsequent follow-up assessments. The study protocol was approved by the Ethics Committee of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (research ethics number: I-25PJ1846) and conducted in accordance with the Declaration of Helsinki. Due to the retrospective and observational nature of the study, the requirement for individual informed consent was waived. To protect patient privacy, the data were anonymized and de-identified.
The inclusion criteria are as follows: 1) age ≥18 years; 2) HCC confirmed by histopathology; 3) China Liver Cancer Stage (CNLC) Ib to IIIa; 4) initial diagnosis of unresectable HCC; 5) receiving systemic therapy alone or in combination with local treatment, followed by radiological and clinical evidence of successful conversion, and underwent curative-intent hepatectomy; 6) preoperative imaging or postoperative pathology confirmed no extrahepatic metastasis. The exclusion criteria are as follows: 1) history of other malignant tumor; 2) reoperation for recurrent or residual HCC; 3) previous liver transplantation; 4) the surgical method is associating liver partition and portal vein ligation for staged hepatectomy (ALPPS); 5) history of HCC rupture; 6) key clinical data is missing or postoperative follow-up is insufficient (<1 month).
Follow-Up and Endpoints
The patients were followed up for the first time one month after surgery, then every three months during the first two years, and every six months thereafter. Follow-up assessments included examination of tumor markers, liver function test, and imaging studies (contrast-enhanced computed tomography [CT] or magnetic resonance imaging [MRI]). In addition to outpatient follow-up, survival status and tumor recurrence were also obtained through telephone follow-up. The decision for adjuvant therapy was based on pathological evaluation of the resected specimen, including the presence of microvascular invasion (MVI), multifocal tumors, large tumor size (>5 cm), or inadequate surgical margins (<1 cm). HCC recurrence was defined according to the appearance of new suspected intrahepatic or extrahepatic lesions on CT, MRI, bone scan, or positron emission tomography computed tomography with or without elevated tumor markers. After confirming recurrence, the optimal treatment strategy should be selected based on the patients’ clinical status and disease characteristics.
The primary endpoint was PRS, defined as the interval from first recurrence to death from any cause or last follow-up. The secondary endpoints were OS and recurrence-free survival (RFS), defined as the interval from surgery to death from any cause or last follow-up and the interval from surgery to the first diagnosis of tumor recurrence or last follow-up, respectively. To avoid immortal time bias, we primarily investigated the impact of tumor recurrence patterns on patients’ PRS.23
To investigate the potential association between time to tumor recurrence (TTR) and PRS. TTR was modeled using restricted cubic splines (RCSs). RCS curves were constructed within a Cox regression framework. The RCS model used three knots at the 10th, 50th, and 90th percentiles of the TTR distribution to capture potential nonlinear effects. A Wald test formally assessed the nonlinearity of the relationship between TTR and the hazard ratio (HR) for post-recurrence mortality. The HR for post-recurrence mortality per unit increase in TTR, along with its 95% confidence interval (CI), was estimated to clarify the quantitative relationship. Trends in multivariable-adjusted HRs (including 95% CIs) for post-recurrence mortality across TTR values were also plotted.
The optimal cutoff value for TTR was determined using maximally selected log-rank statistics, as implemented in the maxstat R package.24 This analysis identified 10.5 months as the statistically optimal threshold. To align with clinical practicality and facilitate interpretation, a rounded value of 12 months was subsequently adopted for additional exploratory analyses. These analyses were considered exploratory and hypothesis-generating.
Statistical Analysis
Categorical variables are presented as numbers and percentages, and compared using the chi-square test or Fisher’s exact test. Continuous variables are reported as median and interquartile range, and compared using the Mann–Whitney U-test or Kruskal–Wallis rank sum test. Survival outcomes were evaluated using the Kaplan-Meier method, and prognostic differences between subgroups were assessed with the Log-rank test. All statistical analyses were performed using RStudio (version 4.4.0), and a two-sided P-value < 0.05 was considered statistically significant.
Results
As shown in Figure 1, a total of 189 patients with HCC who underwent conversion surgery were initially identified. After applying the inclusion and exclusion criteria, 109 patients were excluded due to the following reasons: repeat hepatectomy (n = 34), distant metastasis (n = 29), tumor rupture (n = 15), concurrent malignancy (n = 14), ALPPS surgery (n = 5), combined hepatocellular and intrahepatic cholangiocarcinoma (cHCC-ICC; n = 4), follow-up duration <1 month (n = 4), lack of data (n = 3), or age <18 years (n = 1). The final study population comprised 80 patients, with a median follow-up of 21.50 months (interquartile range [IQR], 13.75–31.30 months). During follow-up, HCC recurrence occurred in 42 patients (52.5%). Recurrence was classified as early (≤10.5 months after surgery) or late (>10.5 months after surgery). Early recurrence was observed in 26 patients (median follow-up: 18.70 months; IQR, 12.10–31.48 months), while late recurrence developed in 16 patients (median follow-up: 33.10 months; IQR, 27.25–40.93 months).
The Kaplan-Meier curves for OS and RFS in the overall cohort are shown in Figure 2. The 6-, 12-, 24-, and 36- months OS rates were 98.7%, 94.7%, 85.0%, and 76.8%, respectively (Figure 2A). The median OS was not reached during the follow-up period. The RFS rate was 78.5% at 6 months, 60.8% at 12 months, 37.4% at 24 months, and 25.1% at 36 months (Figure 2B). The median RFS was 17.8 months (95% CI: 12.4–26.5). The PRS rate was 91.9% at 6 months, 88.8% at 12 months, 78.5% at 24 months, and 61.1% at 36 months (Figure 2C). Figure 2D shows the cumulative recurrence rate of HCC after curative resection in the entire cohort, with cumulative incidences of 21.5%, 38.2%, 57.2%, and 71.2% at 6, 12, 24, and 36 months, respectively.
A total of 80 patients were divided into two groups based on their recurrence status. Thirty-eight patients (47.5%) remained recurrence-free, while 42 (52.5%) experienced tumor recurrence. Significant differences in baseline characteristics were observed between the groups (Table 1).
|
Table 1 Baseline Demographic and Clinicopathological Characteristics Stratified by Tumor Recurrence Status |
Of the 80 patients, 75 (93.75%) received combination systemic therapy, predominantly targeted therapy and immunotherapy (76.25%). Locoregional interventions were administered to 93.75% of patients, with TACE alone being the most frequent modality (53.75%). Statistical analysis indicated no significant differences in the distribution of systemic (P = 0.874) or locoregional (P = 0.408) therapies between recurrence and non-recurrence subgroups, confirming baseline comparability.
Patients in the non-recurrence group were more likely to present with solitary tumors (65.79% vs. 30.95%), whereas multiple tumors were markedly more prevalent in the recurrence group (69.05% vs. 34.21%) (P = 0.0038). Interestingly, the median maximum tumor diameter in the non-recurrence group was larger (8.30 [5.45, 10.90] cm vs. 6.55 [3.78, 8.8] cm) (P = 0.0477). Early-stage disease (China Liver Cancer (CNLC) stage Ib) was more common in the non-recurrence group (50.00% vs. 19.05%), while advanced stages (CNLC stage IIb/IIIa: 61.90% vs. 35.84%) predominated among the recurrence group (P = 0.0016). The pathological complete response (pCR) rate was significantly higher in the non-recurrence group (39.47% vs. 4.76%) (P = 0.0007). MVI (33.33% vs. 10.53%) (P = 0.0299) and poorly differentiated or undifferentiated histology (23.81% vs. 5.26%) (P = 0.0013) were more frequent in the recurrence group. There were no significant differences between the two groups in terms of age, gender, liver function, viral hepatitis status, surgical approach, extent of resection, or incidence of severe postoperative complications (all P > 0.05).
To evaluate the impact of TTR on PRS, we employed restricted cubic splines within a Cox proportional hazards framework to model the hazard of death after recurrence as a continuous function of TTR. In the unadjusted analysis, although the HR appeared highest for early recurrences and declined with prolonged TTR, no statistically significant linear or nonlinear association was observed. However, after adjusting for potential confounders, including age, sex, CNLC stage, conversion therapy regimens, and adjuvant therapy, the multivariable model revealed a significant inverse association: a longer TTR was independently associated with a reduced risk of post-recurrence mortality (adjusted HR < 1; P < 0.05), indicating a protective effect of delayed recurrence (Figure S1).
Maximally selected rank statistics identified 10.5 months as the optimal cutoff for TTR (Figure S2). Among the 42 patients who experienced tumor recurrence, 26 (61.90%) developed early recurrence (≤10.5 months after surgery) and 16 (38.10%) had late recurrence (>10.5 months). Baseline demographic and clinicopathological characteristics stratified by timing of recurrence are summarized in Table 2. No statistically significant differences were observed between early and late recurrence groups for the majority of variables, including age, sex, liver function (Child-Pugh class, ALBI grade), viral hepatitis status, CNLC stage, surgical details (approach, range, and margin), or pathological features such as MVI, tumor differentiation, and pathological response to conversion therapy (all P > 0.05).
|
Table 2 Baseline Demographic and Clinicopathological Characteristics Stratified by the Time of Tumor Recurrence (10.5 Months) |
Among the 41 patients with evaluable recurrence sites, 33 (80.49%) experienced intrahepatic recurrence, and 8 (19.51%) had extrahepatic recurrence as their first site of disease relapse. Baseline characteristics stratified by recurrence site are summarized in Table 3. No statistically significant differences were observed between groups for most demographic, clinical, or pathological variables, including age, sex, liver function (Child-Pugh class, ALBI grade), tumor burden (baseline number and size), CNLC stage, surgical details, or pathological features (all P > 0.05).
|
Table 3 Baseline Demographic and Clinicopathological Characteristics Stratified by the Fisrt Site of Tumor Recurrence |
PRS varied significantly according to both the timing and site of tumor recurrence. One patient with simultaneous intrahepatic and extrahepatic recurrence was excluded from the subgroup analysis stratified by the site of first recurrence due to ambiguous classification and limited sample size. Patients with early recurrence had markedly worse OS than those with late recurrence, respectively (P = 0.04) (Figure 3A). Patients with intrahepatic recurrence exhibited a favorable survival prognosis, compared to those with extrahepatic recurrence (P < 0.0001) (Figure 3B).
When combined, four distinct prognostic patterns emerged (early intrahepatic, early extrahepatic, late intrahepatic, and late extrahepatic recurrence). Compared with early intrahepatic recurrence, the survival rate of early extrahepatic recurrence was significantly reduced (P = 0.0024), which is consistent with the overall trend of poor prognosis caused by extrahepatic diffusion (Figure 3C). Both late intrahepatic and late extrahepatic recurrence have shown excellent survival outcomes, supporting its classification as a “late recurrence” with good prognosis. However, due to the small number of patients with late intrahepatic metastasis, it is statistically indistinguishable (all paired P > 0.05). There is a significant difference between early extrahepatic recurrence and late intrahepatic recurrence (P = 0.0024), which further confirms the prognostic impact of time on the site of recurrence.
In further exploratory analyses, we dichotomized recurrence time at the clinically conventional threshold of 12 months to enhance clinical utility. The early recurrence group included 29 patients (69.05%), while the late recurrence group comprised 13 patients (30.95%). No significant differences were observed between the two groups in terms of baseline clinical or pathological characteristics (all P > 0.05) (Table S1). In PRS analyses, the prognostic associations of the first recurrence site and combined recurrence pattern were consistent with those derived using the optimal TTR cutoff identified in our study (10.5 months). Although the survival curves for early versus late recurrence appeared visually distinct, the difference did not reach statistical significance (P > 0.05), due to limited statistical power resulting from the small sample size (Figure S3).
Discussion
In this retrospective cohort of 80 patients with HCC who underwent curative resection after successful conversion therapy, over half still experienced postoperative tumor recurrence. The combination of systemic and locoregional treatment has become the mainstream approach for the downstaging treatment of advanced HCC patients. Previous studies on HCC recurrence after resection mainly focused on the timing or location in upfront resection cohorts. However, patients who undergo resection after conversion therapy represent a biologically distinct population, initially unresectable, typically with larger tumors, vascular invasion, or advanced CNLC stage, and may therefore exhibit different recurrence dynamics. Our study is among the first to systematically characterize integrated spatiotemporal recurrence phenotypes in this emerging clinical scenario.
Our comparative analysis suggested that preoperative tumor burden, reflected by tumor number, size, and CNLC stage, was associated with an increased risk of postoperative recurrence. Additionally, key pathological features, including MVI, poor tumor differentiation, and suboptimal pathological response to conversion therapy, were also linked to higher recurrence rates. Notably, most patients who experienced recurrence had received adjuvant therapy due to these high-risk features, yet their outcomes remained suboptimal. A similar pattern was observed in the IMBrave050 study.25 Future studies should employ multivariable regression models to identify independent predictors of recurrence, enabling risk-adapted surveillance and personalized adjuvant strategies in patients undergoing curative resection following conversion therapy.
Previous studies have demonstrated that liver resection following downstaging therapy can significantly improve OS and PFS in patients with HCC, irrespective of whether the tumor was initially resectable or unresectable.26–28 To avoid the immortality time bias caused by using tumor recurrence as a prognostic factor, a limitation in prior studies, we used PRS as the outcome measure. Comparison of subgroup differences across recurrence patterns suggests that baseline characteristics were well balanced. In this context, we demonstrate that the spatiotemporal pattern of tumor recurrence, integrating both timing and location, is a critical determinant of PRS. Notably, TTR becomes the dominant prognostic factor, outweighing the site of recurrence. Specifically, late recurrences (>10.5 months) were associated with favorable PRS regardless of location, whereas early recurrences (≤10.5 months) conferred poor outcomes, with extrahepatic spread further worsening prognosis. These findings are consistent with the prognosis reported for upfront resectable HCC.29,30
Our finding that TTR is important in prognostic stratification aligns with the prevailing biological paradigm of HCC recurrence. Early recurrence likely reflects occult micrometastases or aggressive intrahepatic dissemination present at the time of surgery, hallmarks of intrinsically high-risk disease resistant to conversion therapy.31,32 A previous study has shown that in patients with early recurrence (≤6 months) following R0 resection, tumor progression to intermediate or advanced stages is associated with limited benefit from curative-intent therapies.33 In contrast, late recurrence often arises from de novo carcinogenesis in a cirrhotic liver, representing another carcinogenic process with inherently better prognosis.34 Consistent with these biological distinctions, the decreasing risk of death after tumor recurrence associated with delayed TTR in our study further supports a biological threshold for distinguishing systemic micrometastasis from metachronous carcinogenesis.
These findings offer direct implications for clinical practice. First, recurrence within 10.5 months after surgery may serve as an evidence-based risk stratification threshold, warranting intensified surveillance during this critical window. Although many studies define early HCC recurrence as occurring within 2 years after surgery, the optimal timing varies across studies due to HCC heterogeneity.35–37 Our data suggest a sharper inflection point at 10.5 months for this specific population. Second, considering the high systemic disease burden of early recurrence patients, particularly those with extrahepatic recurrence, in addition to active local intervention, systemic treatment should be considered. Third, in future studies related to adjuvant therapy for patients after conversion surgery, stratification of patients based on tumor recurrence phenotype should be considered, as it more accurately captures potential tumor biology than binary recurrence status alone. In addition, emerging technologies such as multi-omics biomarkers (genomics, transcriptomics, proteomics, metabolomics), liquid biopsy, and artificial intelligence (AI)-driven imaging and pathological analysis may provide new avenues for optimizing recurrence risk stratification.38,39
Several limitations warrant acknowledgment. First, this was a single-center retrospective study with a small sample size (n=80), limiting statistical power for subgroup analyses, particularly for rare events like late extrahepatic recurrence (n=2). Second, while we used standardized imaging criteria for recurrence diagnosis, pathological confirmation was not available for all cases. Third, we only focused on the first tumor recurrence and did not include subsequent recurrences in the analysis. Finally, heterogeneity in conversion regimens (systemic ± locoregional) may introduce confounding, although multivariate adjustment partially mitigated this issue.
Conclusion
In summary, the spatiotemporal pattern of recurrence provides a biological framework for the prognosis of HCC patients who undergo resection after conversion therapy. Time to recurrence is the primary determinant of survival, while the site of first recurrence provides additional prognostic refinement. Future multicenter prospective studies are needed to validate these phenotypes and explore whether tailored adjuvant strategies guided by early recurrence risk can improve the long-term prognosis of this high-risk population.
Data Sharing Statement
Based on patient privacy and ethical considerations, de-identified data may be made available upon reasonable request through the corresponding author under controlled access.
Author Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
Funding
There is no funding to report.
Disclosure
The authors report no conflicts of interest in this work.
References
1. Mauro E, De Castro T, Zeitlhoefler M, et al. Hepatocellular carcinoma: epidemiology, diagnosis and treatment. JHEP Rep. 2025;7(12):101571. doi:10.1016/j.jhepr.2025.101571
2. Liu Y, Hu X, Zhou S, et al. Golgi protein 73 promotes angiogenesis in hepatocellular carcinoma. Research. 2024;7:0425. doi:10.34133/research.0425
3. Zhang Y, Dong Y, Chen S, et al. Targeting NAT10 inhibits hepatocarcinogenesis via ac4C-mediated SMAD3 mRNA stability. Exploration. 2025;5(6):20250075. doi:10.1002/EXP.20250075
4. Lin S, Song Z, Chen P, et al. Conversion therapy based on TACE/HAIC-based treatment to improve the therapeutic effect of initially unresectable hepatocellular carcinoma. Liver Cancer. 2025:1–16. doi:10.1159/000547725.
5. Piao M, Li C, Huang Z, et al. Conversion surgery after immune checkpoint inhibitor-based combination therapy for initially unresectable hepatocellular carcinoma: a retrospective cohort study. Liver Cancer. 2025;14(4):456–473. doi:10.1159/000543994
6. Moris D, Martinino A, Schiltz S, et al. Advances in the treatment of hepatocellular carcinoma: an overview of the current and evolving therapeutic landscape for clinicians. Ca A Cancer J Clin. 2025;75(6):498–527. doi:10.3322/caac.70018
7. Liu S, Wu Z, Wang C, et al. Prognosis predictors of hepatocellular carcinoma after hepatectomy following conversion therapy. Eur J Surg Oncol. 2025;51(1):109375. doi:10.1016/j.ejso.2024.109375
8. Sasaki Y, Yamada T, Tanaka H, et al. Risk of recurrence in a long-term follow-up after surgery in 417 patients with Hepatitis B- or Hepatitis C-related hepatocellular carcinoma. Ann Surg. 2006;244(5):771–780. doi:10.1097/01.sla.0000225126.56483.b3
9. Teng W, Liu YC, Jeng WJ, et al. Tertiary prevention of HCC in chronic Hepatitis B or C infected patients. Cancers. 2021;13(7):1729. doi:10.3390/cancers13071729
10. Silva J, Berger N, Gamblin TC. Prognostic significance of baseline alpha-fetoprotein in hepatocellular carcinoma: systematic review and meta-analysis. HPB. 2017;19:S124. doi:10.1016/j.hpb.2017.02.276
11. Ding HF, Zhang XF, Bagante F, et al. Prediction of tumor recurrence by α-fetoprotein model after curative resection for hepatocellular carcinoma. Eur J Surg Oncol. 2021;47(3):660–666. doi:10.1016/j.ejso.2020.10.017
12. Song Z, Chen B, Wen H, et al. Negative serum alpha-fetoprotein at recurrence predicts good prognosis in recurrent hepatocellular carcinoma patients receiving repeated hepatectomy: a single-center retrospective cohort study. Eur J Surg Oncol. 2025;51(9):110145. doi:10.1016/j.ejso.2025.110145
13. Marchitelli I, Conci S, Aldrighetti L, et al. Prognosis and pattern of recurrence of HCC according to tumor burden score. HPB. 2022;24:S131. doi:10.1016/j.hpb.2022.05.256
14. Guan R, Zheng Z, Deng M, et al. Assessment of tumor burden score as a feasible and reliable tool for prognosis prediction for hepatocellular carcinoma undergoing hepatectomy: a multicenter, retrospective study. JHC. 2025;12:247–260. doi:10.2147/JHC.S488927
15. Moazzam Z, Lima HA, Alaimo L, et al. Impact of tumor burden score on timing and patterns of recurrence after curative-intent resection of hepatocellular carcinoma. Surgery. 2022;172(5):1448–1455. doi:10.1016/j.surg.2022.07.019
16. Yoon JH, Choi SK, Cho SB, et al. Early extrahepatic recurrence as a pivotal factor for survival after hepatocellular carcinoma resection: a 15-year observational study. World J Gastroenterol. 2022;28(36):5351–5363. doi:10.3748/wjg.v28.i36.5351
17. Zeng J, Zeng J, Lin K, et al. Development of a machine learning model to predict early recurrence for hepatocellular carcinoma after curative resection. Hepatobiliary Surg Nutr. 2022;11(2):176–187. doi:10.21037/hbsn-20-466
18. Zandavi SM, Kim C, Goodwin T, et al.
19. Petruch N, Bolm L, Nebbia M, et al. How to predict recurrence after resection of hepatocellular carcinoma. Anticancer Res. 2025;45(1):189–199. doi:10.21873/anticanres.17404
20. Jia JJ, Wang YY, Tan XY, et al. Machine learning model stratify hepatocellular carcinoma patients into high- and low-risk recurrence or death group post curative resection. Hepatobiliary Pancreatic Dis Int. 2025;24(6):634–642. doi:10.1016/j.hbpd.2025.09.001
21. Li C, Wang H, Chen R, et al. Outcomes and recurrence patterns following curative hepatectomy for hepatocellular carcinoma patients with different China liver cancer staging. Am J Cancer Res. 2022;12(2):907–921.
22. Giannone F, Cassese G, Cubisino A, et al. Patterns of site and timing of recurrence after curative resection in single and multiple large hepatocellular carcinoma: a multicenter international comprehensive analysis. Ann Surg Oncol. 2025;32(9):6312–6323. doi:10.1245/s10434-025-17673-3
23. Yadav K, Lewis RJ. Immortal time bias in observational studies. JAMA. 2021;325(7):686. doi:10.1001/jama.2020.9151
24. Hothorn T, Lausen B. On the exact distribution of maximally selected rank statistics. Comput Stat Data Anal. 2003;43(2):121–137. doi:10.1016/S0167-9473(02)00225-6
25. Yopp A, Chen M, Cheng AL, et al. Updated data from IMbrave050: adjuvant atezolizumab plus bevacizumab for high-risk hepatocellular carcinoma. J Hepatol. 2026:S0168827826000176. doi:10.1016/j.jhep.2026.01.006.
26. Lee BH, Lee DS, Cho CW, et al. Role and limitation of neoadjuvant hepatic arterial infusion chemotherapy in advanced hepatocelluar carcinoma patients with Child-Pugh class A. World J Surg Oncol. 2019;17(1):143. doi:10.1186/s12957-019-1685-6
27. Wei W, Li S, Zhao R, et al. Neoadjuvant hepatic arterial infusion chemotherapy with FOLFOX could improve outcomes of resectable BCLC stage A/B hepatocellular carcinoma patients beyond Milan criteria: a multi-center, Phase 3, randomized, controlled clinical trial. JCO. 2023;41(16_suppl):4023. doi:10.1200/JCO.2023.41.16_suppl.4023
28. Bi X, Zhao H, Zhao H, et al. Consensus of Chinese experts on neoadjuvant and conversion therapies for hepatocellular carcinoma: 2023 update. Liver Cancer. 2024:1–16. doi:10.1159/000541249.
29. Maithel SK, Wang R, Harton J, et al. Prognostic significance of recurrence and timing of recurrence on survival among patients with early-stage hepatocellular carcinoma in U.S. clinical practice. Ann Surg Oncol. 2025;32(2):1054–1062. doi:10.1245/s10434-024-16476-2
30. Hirokawa F, Hayashi M, Asakuma M, et al. Risk factors and patterns of early recurrence after curative hepatectomy for hepatocellular carcinoma. Surg Oncol. 2016;25(1):24–29. doi:10.1016/j.suronc.2015.12.002
31. Aufhauser DD, Sadot E, Murken DR, et al. Incidence of occult intrahepatic metastasis in hepatocellular carcinoma treated with transplantation corresponds to early recurrence rates after partial hepatectomy. Ann Surg. 2018;267(5):922–928. doi:10.1097/SLA.0000000000002135
32. Liu Z, Chen J, Ren Y, et al. Multi-stage mechanisms of tumor metastasis and therapeutic strategies. Sig Transduct Target Ther. 2024;9(1):270. doi:10.1038/s41392-024-01955-5
33. Zhang JX, Guo LB, Zeng CS, et al. Time to recurrence and BCLC stage at recurrence as critical variables in guiding treatment decisions for early-recurrent hepatocellular carcinoma after liver resection. Front Oncol. 2025;15:1672696. doi:10.3389/fonc.2025.1672696
34. Xu XF, Xing H, Han J, et al. Risk factors, patterns, and outcomes of late recurrence after liver resection for hepatocellular carcinoma: a multicenter study from China. Jama Surg. 2019;154(3):209. doi:10.1001/jamasurg.2018.4334
35. Lee HA, Lee YS, Kim BK, et al. Change in the recurrence pattern and predictors over time after complete cure of hepatocellular carcinoma. Gut Liver. 2021;15(3):420–429. doi:10.5009/gnl20101
36. Xing H, Zhang WG, Cescon M, et al. Defining and predicting early recurrence after liver resection of hepatocellular carcinoma: a multi-institutional study. HPB. 2020;22(5):677–689. doi:10.1016/j.hpb.2019.09.006
37. Liu Z, Chai Z, Feng J, et al. A reasonable identification of the early recurrence time based on microvascular invasion for hepatocellular carcinoma after
38. Law J, Shao H, DasGupta R, et al. Developing risk stratification strategies and biomarkers for recurrent hepatocellular carcinoma. Clin Transl Med. 2025;15(8):e70410. doi:10.1002/ctm2.70410
39. Sun Y, Wu P, Zhang Z, et al. Integrated multi-omics profiling to dissect the spatiotemporal evolution of metastatic hepatocellular carcinoma. Cancer Cell. 2024;42(1):135–156.e17. doi:10.1016/j.ccell.2023.11.010
© 2026 The Author(s). This work is published and licensed by Dove Medical Press Limited. The
full terms of this license are available at https://www.dovepress.com/terms
and incorporate the Creative Commons Attribution
- Non Commercial (unported, 4.0) License.
By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted
without any further permission from Dove Medical Press Limited, provided the work is properly
attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.
Recommended articles
Extending Surgical Resection for Hepatocellular Carcinoma Beyond Barcelona Clinic for Liver Cancer (BCLC) Stage A: A Novel Application of the Modified BCLC Staging System
Wee IJY, Moe FNN, Sultana R, Ang RWT, Quek PPS, Goh BKP, Chan CY, Cheow PC, Chung AYF, Jeyaraj PR, Koh YX, Mack POP, Ooi LLPJ, Tan EK, Teo JY, Kam JH, Chua JSS, Ng AWY, Goh JSQ, Chow PKH
Journal of Hepatocellular Carcinoma 2022, 9:839-851
Published Date: 17 August 2022
Hepatic Arterial Infusion Chemotherapy as a Timing Strategy for Conversion Surgery to Treat Hepatocellular Carcinoma: A Single-Center Real-World Study
Wang J, Zheng Z, Wu T, Li W, Wang J, Pan Y, Peng W, Hu D, Hou J, Xu L, Zhang Y, Chen M, Zhang R, Zhou Z
Journal of Hepatocellular Carcinoma 2022, 9:999-1010
Published Date: 14 September 2022
Hepatectomy After Conversion Therapy for Initially Unresectable HCC: What is the Difference?
Luo L, He Y, Zhu G, Xiao Y, Song S, Ge X, Wang T, Xie J, Deng W, Hu Z, Shan R
Journal of Hepatocellular Carcinoma 2022, 9:1353-1368
Published Date: 22 December 2022
Prognostic Significance of Hemoglobin, Albumin, Lymphocyte and Platelet (HALP) Score in Hepatocellular Carcinoma
Zhou J, Yang D
Journal of Hepatocellular Carcinoma 2023, 10:821-831
Published Date: 2 June 2023
Development of a Nomogram for Prognostic Prediction of Large Hepatocellular Carcinoma With HBV After TACE Combined Conversion Therapy
Xu W, Ding X, Xu Y, Zhang Y, Xu H, Guo L, Li L
Hepatic Medicine: Evidence and Research 2025, 17:1-12
Published Date: 7 April 2025
