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Background:
Systematic Review

The Definition of the Best Margin Cutoff and Related Oncological Outcomes After Liver Resection for Hepatocellular Carcinoma: A Systematic Review

1
Surgical Oncology, GI Program, Sultan Qaboos Comprehensive Cancer Care & Research Center, University Medical City, Muscat 123, Oman
2
Division of Hepato-Pancreato-Biliary, Oncologic and Robotic Surgery, Azienda Ospedaliero-Universitaria SS, Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy
3
Department of Research and Innovation (DAIRI), Azienda Ospedaliero-Universitaria SS, Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy
4
Department of Health Sciences, School of Medicine, University of Eastern Piedmont “Amedeo Avogadro”, 28100 Alessandria, Italy
*
Author to whom correspondence should be addressed.
Cancers 2025, 17(11), 1759; https://doi.org/10.3390/cancers17111759
Submission received: 28 April 2025 / Accepted: 16 May 2025 / Published: 23 May 2025

Simple Summary

Hepatocellular carcinoma, a common type of liver cancer, is often treated through the surgical removal of the tumor. However, doctors still debate how much healthy liver tissue should be removed around the tumor to ensure the best chance of survival and reduce the risk of the cancer returning. This study reviews past research to better understand how the width of the surgical margin affects long-term patient outcomes. By analyzing different margin sizes across a wide range of cases, the authors aim to clarify whether a wider or narrower margin offers better results and how factors like tumor type or liver condition might influence the results. These findings could help surgeons make more personalized decisions for each patient, leading to more precise and effective treatment strategies in liver cancer surgery.

Abstract

Background/Objectives: Different cutoffs have been proposed to be the optimal resection margin of liver resection for hepatocellular carcinoma (HCC). The aim of this study was to perform a systematic review, investigating the different impacts on disease-free survival (DFS) and overall survival (OS) of different margin cutoffs. Methods: The PubMed, Embase, and Cochrane databases were searched for comparative studies evaluating the oncological impacts of different types of liver resection margin for HCC. Results: A total of 48 studies were included in the final analysis. Among them, 36 evaluated the impact of resection margin width on OS and 42 on DFS. The margin cutoffs assessed varied widely, including 20 mm, 10 mm, 5 mm, 4 mm, 2 mm, and 1 mm. While wider margins (≥10 mm) were generally associated with improved outcomes, particularly in high-risk subgroups such as patients with microvascular invasion (MVI), elevated alpha-fetoprotein (AFP) levels, or a non-cirrhotic liver, other studies reported no significant differences. The findings were highly heterogeneous across the studies due to differences in patient populations, tumor biology, and surgical approaches. Consequently, the evidence suggests that the optimal margin is context-dependent rather than universal. Conclusions: Wider resection margins should be considered in select high-risk patients, while a tailored, case-by-case approach remains necessary given the overall heterogeneity of HCC presentations.

1. Introduction

Hepatocellular carcinoma (HCC) is the most common primary liver cancer in adults [1] and ranks as the fourth leading cause of cancer-related mortality worldwide [2]. In recent years, its prevalence has significantly declined, primarily due to advancements in hepatitis treatment and HBV vaccination programs [3]. However, in Western countries, HCC incidence has risen, largely driven by metabolic risk factors. The disease burden is expected to increase further due to the growing prevalence of alcohol-related liver disease and metabolic dysfunction-associated liver steatosis [4].
HCC treatment requires a multidisciplinary approach, considering both oncologic outcomes and underlying liver conditions, which are present in approximately 90% of cases [5,6]. Surgery remains the most effective treatment [7], encompassing both liver transplantation and liver resection. Due to organ shortages, liver transplantation is reserved for select patients based on their underlying liver disease. Consequently, liver resection continues to be the primary treatment for most cases [7]. To optimize outcomes, the accurate staging of HCC is crucial, taking into account tumor-related characteristics and residual liver function. The Barcelona Clinic Liver Cancer (BCLC) staging system is the most widely used for prognostic assessment and treatment planning [8].
Surgical resection is the gold standard for patients with very early- and early-stage HCC (BCLC 0-A). However, it is associated with a high recurrence rate, reaching 50–60% within three years and 70–90% within five years post-surgery, significantly affecting patient survival. Most recurrences occur within the first two years—termed “early recurrence”—which is strongly linked to poorer survival rates [9]. Simon et al. in 2018 also proposed a “very early recurrence”, when it occurs within 6 months after surgery [10]. In his study, this recurrence pattern was associated with a worse prognosis when compared with both early and late recurrence (a median OS of 20.4 vs. 41.6 vs. 36.0, respectively; p < 0.01), and an incomplete resection (R1) was among its main risk factors. A recurrence that occurs after 2 years of treatment is defined as “late”, and it seems related to a de novo HCC development, independent from the primary neoplasm.
Several factors have been shown to be associated with recurrence, depending on the timing and patterns of the recurrence (10.21037/hbsn-22-579.). In particular, resection margins may play a pivotal role in the very early and early recurrence risk. Previous studies have reported and proposed different optimal cutoffs to ensure the best oncological outcomes while maximizing the preservation of enough liver parenchyma. In this context, some authors have proposed the superiority of anatomical resection (AR) for HCC treatment in the light of lower local recurrence rates, that is, the resection of the entire liver parenchyma vascularized from the portal branch suppling the tumor [11,12]. However, many other studies and meta-analyses did not confirm such results, and currently there is still no consensus about the best resection margins for HCC, as well as the need for AR [13,14].
The aim of this study is to systematically review the oncological results of different margin widths after liver resection for HCC, in terms of both OS and DFS.

2. Materials and Methods

2.1. Literature Search

This was a systematic review of the literature performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines [15]. A systematic literature search was conducted using the PubMed, MedLine, and EMBASE databases in April 2024, looking for all the articles providing the long-term outcomes of resected HCC according to margin status. Two reviewers (D.A. and A.A.F.) performed the initial literature screening to detect any potentially relevant articles, using the following combinations of terms: “Hepatocellular [Title/Abstract] AND/OR carcinoma [Title/Abstract]”, “Margin [Title/Abstract]”, AND “Outcomes [Title/Abstract]”. After this primary search, the same authors screened the articles based on the eligibility criteria. In the case of inconsistencies, a third author (F.G.) was asked to independently make the final decision. Only the studies reporting the survival and/or recurrence data of resected HCC treated with curative intent and their correlation with margin status with a well-defined cutoff were deemed eligible. The exclusion criteria were (1) resections without curative intent; (2) studies not reporting a specific definition of the surgical margin and cutoff used; (3) an absence of follow-up data according to margin status; (4) conference abstracts, case reports, and letters to the editors. Studies written in a language other than English were also excluded. The study protocol was registered within the PROSPERO database (registration number: ID CRD42024545496).

2.2. Data Extraction

Following the identification of eligible studies, the abstracts and full texts were selected by the two authors. The reference lists of the retrieved articles were screened to find additional studies not identified through the original search. The entire text of the screened papers and their eligibility were made independently by two authors (A.A.F. and F.S.). Any disagreement was solved through discussion and reassessment of the data by all the authors. One author (D.A.) extracted the data in a standardized collection form. The collected variables included the following: patient demographics (age, gender, and history of hepatitis B or C [HBV or HCV]), baseline clinical and biologic characteristics (liver cirrhosis, Child–Pugh score, and alpha-fetoprotein [AFP] level), tumor characteristics (size, number, differentiation, and microvascular invasion), operative data, and long-term outcomes. Among these variables, a special focus was reserved to anatomical resection (AR) vs. non-anatomical resection (NAR), resection margin (R0/R1, vascular, and parenchymal), and the cutoff used to define the margin status and outcomes (overall survival [OS] and disease-free survival [DFS]). The extracted data were incorporated into tables and analyzed cumulatively when possible.
Given the heterogeneity of the included studies in terms of the design, patient characteristics, and outcome measures, a meta-analysis was not feasible. Instead, we employed a structured narrative synthesis approach. The subgroup-specific findings—such as those related to MVI status, AFP levels, cirrhosis, tumor size, and type of resection—were extracted and analyzed separately when reported. This approach aligns with the PRISMA 2020 guidance for non-quantitative synthesis and allows for clinically relevant insights to be presented, even in the absence of homogeneous data amenable to meta-analysis.

2.3. Reported Analysis and Bias Assessment

The data were summarized and analyzed with descriptive statistics. The long-term outcomes were reported according to the margin cutoff separately for DFS and OS. The quality of studies included in this systematic review was scored by two researchers using the modified Newcastle–Ottawa scale (NOS) (with a score ranging from 0 to 9 points). The NOS is a review tool for evaluating the risk of bias in observational studies. The scale consists of four domains of risk of bias assessment: (i) selection bias; (ii) performance bias; (iii) detection bias; and (iv) information bias [16]. The overall score was converted to Agency for Healthcare and Quality standards according to the number of stars for each item.
The graphical abstract of this manuscript was made using ChatGPT 4o.

3. Results

The systematic review initially identified 254 records from the database searches. Before the screening, twenty-three duplicate records were removed, along with three records for other reasons. This left 228 records for screening. Of these, 168 were excluded, and 60 reports were sought for retrieval. Two reports could not be retrieved, leaving fifty-eight reports assessed for eligibility. Of these, 10 reports were excluded for reasons including duplication (n = 3), being systematic reviews or meta-analyses (n = 3), and lacking a definition of margin (n = 4). Ultimately, 48 studies were included in the final review. The PRISMA flow diagram showing the entire screening protocol is shown in Figure 1. Table 1 shows the overall details of the included studies and Table 2 shows the quality assessment according to the Newcastle–Ottawa scale and conversion to Agency for Healthcare and Quality standards.

3.1. Definition of Surgical Margins

The analysis of the included studies reveals significant variations in how the optimal resection margin for HCC is defined in the literature. While surgical resection generally determines the margin status based on a specific cutoff, in HCC, this determination is influenced by the type of resection performed and potentially by the tumor’s aggressiveness. Some studies assess margin thresholds based on whether the resection is anatomical or non-anatomical [23,48,51,52]. In contrast, other research examines margin length in relation to tumor size, stage, or histopathological characteristics.

3.2. Impact of Surgical Margin on Long-Term Outcomes

Among the 48 studies included in the review, 36 examined the correlation between resection margin width and OS, while 42 evaluated its association with DFS. Various surgical margin cutoffs were analyzed across the studies, including 20 mm, 10 mm, 5 mm, 4 mm, 2 mm, and 1 mm. Table 3 provides an overview of the margin status influence on DFS and OS based on the margin width. Some studies are reported more than once when they evaluated multiple surgical margin groups separately (e.g., both 5 mm and 10 mm). Specifically, four studies (Shi M. et al., 2007 [49]; Lee K.T. et al., 2012 [37]; Lee J.C. et al., 2019 [39]; Shapera et al., 2023 [47]) contributed data to more than one margin category, resulting in 52 entries from 48 included studies.

3.2.1. Surgical Margin: 20 mm

Regarding overall survival (OS), two studies established a resection margin cutoff of 20 mm [26,49]. The authors reported that a 20 mm margin was associated with improved OS compared to a 10 mm margin, particularly in cases of solitary HCC ≤ 20 mm [49]. These studies also analyzed the impact of margin width on recurrence risk following liver resection, concluding that a 20 mm margin was similarly linked to better disease-free survival (DFS) compared to a 10 mm cutoff.

3.2.2. Surgical Margin: 10 mm

A total of 31 studies assessed the correlation between a 10 mm free surgical margin and OS (Table 2) [17,18,19,20,21,26,28,29,30,34,35,36,37,38,40,41,43,44,45,47,48,49,53,54,55,56,58,59,60,63,64]. Among these, 11 studies found no significant association between the resection margin width and OS when using this cutoff [18,19,36,37,38,40,43,44,45,54,58,60,63,64]. Conversely, 15 studies reported that a surgical margin greater than 10 mm was linked to improved OS [17,20,21,28,29,30,34,35,41,43,48,53,55,58,60] and, in 11 cases, it was identified as an independent prognostic factor for survival [20,21,28,29,30,35,41,43,48,58,60]. Three studies compared the 10 mm margin width with smaller (1 mm and 1–9.9 mm) [47] and larger (20 mm) [49,56] cutoffs, demonstrating that wider margins were associated with better survival outcomes. However, two studies indicated that the independent correlation between a margin width of ≥10 mm and OS was only observed in the presence of microvascular invasion (MVI) [48,59]. In contrast, Han et al. reported that a narrow resection margin was associated with worse OS regardless of MVI status [26]. Additionally, Park et al. found that a 10 mm cutoff was correlated with improved OS only in patients with 18F-FDG PET-positive HCC [44].
A total of 33 studies assessed the correlation between a 10 mm surgical margin and DFS (Table 2) [17,18,19,20,26,27,29,30,34,36,37,38,39,40,41,42,43,44,45,46,48,49,50,51,52,55,58,59,60,61,62,63,64]. Of these, 25 found that a surgical margin > 10 mm was associated with improved DFS [17,18,19,26,29,30,34,36,37,38,39,40,41,42,43,46,48,49,50,55,58,59,60,61,62] and, in 18 cases, this cutoff was identified as an independent predictor of recurrence [18,19,26,29,30,34,36,37,41,42,43,46,48,50,55,58,61,62]. This association was observed in various contexts, including HBV- and HCV-related HCC [46,60,61], young patients [60], both cirrhotic [18] and non-cirrhotic livers [20], in early-stage HCC [17,30,42,46,49,56,62], and BCLC B-C HCC [19].
Nevertheless, some authors found that a free surgical margin >10 mm is only necessary in more aggressive HCC, defined as in preoperative circulating tumor cells >1 [63] for patients with a baseline AFP > 200 ng/mL [39] and in cases with MVI+ [27,51,59]. Furthermore, Shi et al. reported that in this last specific subgroup of HCC, a free resection margin of 10 mm is not sufficient to improve DFS, but an AR should also be performed [48]. Regarding the influence of the resection margin on outcomes in anatomic or non-anatomic resection, two studies reported that a significative correlation was confirmed only when performing an NAR [52,55]. Finally, five articles reported no significative difference when comparing patients with a free margin ≤10 mm and >10 mm [20,44,45,51,64].

3.2.3. Surgical Margin: 5 mm

Among the 48 studies, four articles compared the OS and DFS rates using a 5 mm free surgical margin [24,25,31,37], while two studies examined this cutoff solely in relation to recurrence risk [23,39]. Of these, two studies found no significant association between a 5 mm surgical margin and improved OS or DFS [25,31]. Similarly, Lee et al. reported no differences in survival or recurrence rates when comparing 5 mm and 10 mm margin cutoffs [37]. Only two studies indicated that a surgical margin greater than 5 mm was necessary for improved long-term outcomes, but this benefit was observed only in specific patient subgroups—those with a high alpha-fetoprotein tumor burden score (ATS) [24] and those with an AFP level between 15 and 200 ng/mL [39].
Additionally, only one study examined the relationship between surgical margin status and the type of hepatic resection, concluding that a margin wider than 5 mm is essential for improved DFS when a non-anatomical resection (NAR) is performed [23].

3.2.4. Surgical Margin: 4 mm

One article set the cutoff surgical margin at 4 mm finding no significant differences in the OS and DFS curves between the R0 and R1 cases [32].

3.2.5. Surgical Margin: 2 mm

One article assessed the influence of a 2 mm surgical margin and the long-term outcomes of patients undergoing liver resection for early-stage solitary HCC (<5 cm), finding an independent correlation between OS and DFS and a negative surgical margin (>2 mm) [57]. This association was, in the subgroup analysis, confirmed only for those cases showing MVI and no cirrhosis.

3.2.6. Surgical Margin: 1 mm

Two articles assessed the surgical margin cutoff of 1 mm in terms of survival rate [33,47]. In one article, no significant difference was found in terms of OS between the R0 and R1 cases [33]. Shapera et al. compared the survival curves in cases ≤1 mm, between 1.1 and 9.9 mm and ≥10 mm, reporting improved survival rates for larger cutoffs [47]. Two authors evaluated the rate of recurrence according to a surgical margin width of 1 mm, reporting no statistically differences on DFS between the R1 and R0 patients [22,33].

3.3. Influence of Specific Positive Margin Cutoffs on Specific Patterns of Recurrence

Beyond the influence of recurrence and survival rates according to the margin status, the included articles sometimes reported how the margin cutoff assessed can be associated with a specific pattern of recurrence. The patterns evaluated were related to (i) timing (early versus late recurrence), (ii) site (intrahepatic versus extrahepatic), and iii) intrahepatic site (marginal versus distal intrahepatic). Fifteen articles focused on the timing of recurrence according to a margin threshold [22,24,25,26,29,37,42,43,45,49,51,55,57,59,63]. Eight of them showed a significantly lower rate of early recurrence in their corresponding wider resection margin group, which was mostly set at 10 mm [26,29,42,43,59,63], while, for two other papers, the cutoff used was 5 mm [24] and 2 mm [57]. Seven authors, on the contrary, described no significant difference in terms of the timing of recurrence between their corresponding resection margin groups when assessing the margin status [22,25,37,45,49,51,55]. The resection margin length in this case was more heterogeneous.
The second subtype of recurrence pattern assessed is intrahepatic versus extrahepatic. Nine articles reviewed the relationship between the site of disease relapse and the margin status, but no paper showed a significant difference in relation to a specific cutoff [25,31,33,37,38,40,43,45,55].
Finally, nine articles assessed the distance of the intrahepatic recurrence from the resection margin, according to the margin status in the resected specimen [22,25,31,33,37,38,43,45,49]. The definition of “marginal” recurrence varied among these studies; however, a distance of 1 or 2 cm from the resection margin was adopted by the authors. Five of these papers [22,25,33,37,45] showed no significant difference in the marginal recurrence rate, whereas the remaining four [31,38,43,49] showed a higher proportion of marginal recurrence in the case of narrow margin groups including margins of <10 mm and <5 mm.

4. Discussion

Surgical resection is the primary treatment option for HCC, aiming to achieve complete tumor removal while preserving a sufficient future liver remnant. For decades, there has been ongoing debate and a lack of consensus regarding the optimal resection margin for HCC [45,65,66,67]. In surgical oncology, the resection margin width is a critical factor, as it directly influences the oncological outcomes, including the tumor recurrence risk and OS. In the case of HCC, which often coexists with underlying liver disease, surgeons must carefully balance the need for a wider margin with the necessity of preserving adequate liver function.
Traditionally, a resection margin of at least 1 cm—or even 2 cm in some studies—has been considered necessary to achieve optimal outcomes in HCC surgery [56,68]. However, recent research has challenged this perspective, suggesting that a smaller margin may be equally effective in ensuring favorable long-term outcomes for HCC patients [22].
The number of randomized studies on resection margin width in HCC is very limited, with most available research consisting of retrospective cohort or case-controlled studies. Among the studies included in this review, only one was a randomized trial, conducted by Shi M. et al., which categorized patients with solitary HCC into two groups: those with a wide resection margin (2 cm) and those with a narrow resection margin (1 cm) [49]. The primary endpoint was achieved only in patients with HCC tumors ≤ 2 cm in size.
Similarly, none of the studies investigating the effects of AR were randomized to eliminate potential biases. Anatomical liver resection was first described by Makuuchi et al. in 1985 and involves resecting the tumor along with the corresponding liver segment or subsegment, including the tumor-bearing portal tributaries [69]. HCC cells can infiltrate arterioportal shunts within the tumor, spread through the portal system, and seed the adjacent liver parenchyma. Based on this mechanism, it has been hypothesized that anatomical resection may be an effective technique for achieving complete tumor removal, including micrometastases [70].
This approach has also been applied to intrahepatic cholangiocarcinoma, where it has shown promising results in selected cases [71]. While some studies included in this review suggested the potential benefits of ALR in improving RFS and OS, it is important to note that these findings were based on retrospective data or limited single-center experiences. As a result, the generalizability of these results remains uncertain.
It is important to acknowledge the high degree of clinical and methodological heterogeneity among the studies included in this review. The diversity in patient populations, tumor biology (e.g., MVI and AFP levels), underlying liver conditions (e.g., cirrhosis vs. non-cirrhosis), and surgical approaches (AR vs. NAR) limits the ability to draw uniform conclusions. Therefore, this present review does not attempt to determine a single optimal margin cutoff for all patients but rather emphasizes the need for individualized surgical strategies. This heterogeneity reinforces the rationale for a precision medicine approach, tailoring resection margins to tumor-specific and patient-specific factors.
Conducting randomized trials on resection margins in HCC presents significant ethical, clinical, and logistical challenges. Ethically, randomizing patients to specific margin widths could compromise outcomes, particularly when wider margins are considered safer for individuals with multiple high-risk factors for recurrence. Clinically, the need to balance oncologic effectiveness with liver function preservation further complicates standardizing the margin allocation. From a logistical perspective, implementing such trials is highly demanding due to the complexity of surgical planning and patient selection criteria.
Finally, the main finding of this systematic review probably lies in the absence of significant differences in the outcomes between the included groups, when focusing on the margins alone without analyzing the other multiple concomitant high-risk factors, as mentioned earlier. For HCC, tumor biology plays a pivotal role in defining the diagnosis, the prognosis, and the response to treatments. Indeed, the most significant part of this study shows how the impact of different margins’ widths varies with other factors such as the presence of MVI, the tumoral grading, the underlying liver condition, etc. Endo Y et al. found that, in patients with a high alpha-fetoprotein tumor burden score, a wider resection margin was associated with incrementally better OS and RFS [24]. Similarly, Lee JC et al. published their results revealing the need of larger resection margins for high AFP lesions [39]. Yang P et al. demonstrated a better 5-year RFS and OS among patients with wide resection margins and having MVI [59]. This was demonstrated as well by Wang et al., Han J et al., and Hirokawa F et al. in the case of solitary HCC [26,27,57]. Interestingly, Tsilimigras DI et al. found that wider margins were more important among patients undergoing non-anatomic liver resections for <5cm T1 HCC [55]. We know that a PET FDG CT scan is not a good modality for HCC in general; however, Park JH et al. showed that a resection margin size > 1 cm may improve OS in patients with PET-positive HCC [44]. Zhou KQ et al. concluded in their study that a surgical margin of >1 cm should be achieved for patients with positive circulating tumor cells [63].
Practical recommendations for surgical margin according to patient and tumor Characteristics: although the overall evidence remains heterogeneous, several subgroup analyses suggest that specific patient and tumor characteristics may benefit from wider resection margins.
Small solitary tumors (≤2 cm): in patients with early-stage solitary HCC, achieving a resection margin greater than 10 mm appears to significantly improve disease-free survival, as demonstrated by Shi M. et al. and others [49].
Microvascular invasion (MVI): The presence of MVI has been associated with poorer oncological outcomes. The studies by Yang P. et al. [59] and Shi F. et al. [48] indicate that, in MVI-positive patients, achieving a margin >10 mm and favoring anatomical resection may improve both DFS and OS.
High alpha-fetoprotein (AFP) levels: Elevated AFP levels (>200 ng/mL) have been correlated with a worse prognosis. Wider resection margins have been shown to mitigate this risk, especially among patients with high AFP tumor burden scores, as noted by Endo Y. et al. [24] and Lee J.C. et al. [39].
Non-cirrhotic liver background: in patients with preserved liver function without cirrhosis, wider margins are more easily achievable and have been associated with better oncological outcomes, according to Wang H. et al. [57].
Therefore, while a universal margin cutoff cannot be defined, a more tailored approach to margin selection based on these risk factors is advisable to optimize postoperative outcomes.
In this light, the concept of precision medicine may play a crucial role in redefining the ideal resection margin for HCC. By considering the tumor biology and characteristics of the individual patient, surgeons can tune the surgical approach to achieve the best possible outcome. Advances in imaging technology, such as preoperative imaging and intraoperative ultrasound, have improved the ability to accurately assess the extent of the tumor and guide the surgeon in determining the optimal resection margin.

5. Conclusions

The optimal resection margin for hepatocellular carcinoma remains variable and must be individualized based on specific tumor and patient factors. Subgroup analyses suggest that wider surgical margins (>10 mm) may confer better survival outcomes, particularly in patients with solitary small tumors (≤2 cm), microvascular invasion, high AFP levels, and a non-cirrhotic liver background. Surgical decision-making should, therefore, integrate tumor biology, liver function, and patient-specific risk profiles, rather than relying solely on arbitrary margin thresholds. Further prospective studies are needed to validate these subgroup findings and to refine the margin strategies for personalized HCC management.

Author Contributions

Conceptualization, A.A.F. and F.G.; methodology, A.A.F.; software, M.A.; validation, A.A.F., F.S. and F.G.; formal analysis, A.A.F.; investigation, D.A.; resources, G.C.; data curation, M.A.; writing—original draft preparation, A.A.F.; writing—review and editing, F.S.; visualization, D.A.; supervision, F.P.; project administration, F.G.; funding acquisition, F.P. All authors have read and agreed to the published version of the manuscript.”

Funding

This research received no external funding.

Acknowledgments

During the preparation of this manuscript, the authors used ChatGPT 4o for the purposes of making the graphical abstract. The authors have reviewed and edited the output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
HCCHepatocellular carcinoma
DFSDisease-free survival
OSOverall survival
BCLCBarcelona Clinic Liver Cancer
ARAnatomical resection
NARNon-anatomical resection
PRISMAPreferred Reporting Items for Systematic Reviews and Meta-Analysis
AFPAlpha-fetoprotein
NOSNewcastle–Ottawa scale
ATSAlpha-fetoprotein tumor burden score

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Figure 1. The PRISMA flow diagram. ** If automation tools were used, indicate how many records were excluded by a human and how many were excluded by automation tools. Source: [15] Page MJ, et al. BMJ 2021;372:n71. doi: 10.1136/bmj.n71. This work is licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ (accessed on 22 May 2025).
Figure 1. The PRISMA flow diagram. ** If automation tools were used, indicate how many records were excluded by a human and how many were excluded by automation tools. Source: [15] Page MJ, et al. BMJ 2021;372:n71. doi: 10.1136/bmj.n71. This work is licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ (accessed on 22 May 2025).
Cancers 17 01759 g001
Table 1. Overall details.
Table 1. Overall details.
StudyStudy TypeStudy CountryPatients, n°Inclusion PeriodMargin Assessed, mmType HCCType ResectionUnderlying Conditions
Bai S. et al., 2023 [17]RetrospectiveChina6702016–201710-With/without adjuvant TACE-
Belli G. et al., 2011 [18]RetrospectiveItaly1092000–200810-LaparoscopicCirrhosis
Chang W.T. et al., 2012 [19]RetrospectiveTaiwan4781991–200610BCLC B-C--
Chen M.F. et al., 2003 [20]RetrospectiveTaiwan2541986–199810--Non-cirrhotic liver
Chen Z.H. et al., 2021 [21]RetrospectiveMulticentric, China1.5172009–201210MVI+--
Cheng C.H. et al., 2022 [22]RetrospectiveTaiwan9832003–20091---
Dong S. et al., 2016 [23]RetrospectiveChina5862001–20125Solitary, without macroscopical vascular invasion--
Endo Y. et al., 2023 [24]RetrospectiveMulticentric7822000–20205---
Field W.B.S. et al., 2017 [25]RetrospectiveUSA3.3002002–20165---
Han J. et al., 2019 [26]RetrospectiveMulticentric, China8012007–201610Solitary HCC--
Hirokawa F. et al., 2014 [27]RetrospectiveJapan1672000–201010Solitary HCC--
HsiaoJ.H. et al., 2017 [28]RetrospectiveTaiwan2212006–201410-With/without adjuvant TACE-
Huang G. et al., 2013 [29]RetrospectiveChina1.0402006–200810--High baseline HBV-DNA
Huang W.J. et al., 2015 [30]RetrospectiveTaiwan2302007–200910Stage I HCC--
Jeng K.S. et al., 2013 [31]RetrospectiveTaiwan1961994–20105Centrally located HCC--
Ke Q. et al., 2023 [32]RetrospectiveMulticentric,
China
1.0332012–20154Solitary HCCAR-
Kobayashi N. et al., 2020 [33]RetrospectiveJapan4542001–20121Solitary HCC--
Laurent C. et al., 2005 [34]RetrospectiveFrance1081985–200210--Non-cirrhotic liver
Lee. C.S. et al., 1996 [35]RetrospectiveTaiwan481979–198410Small asymptomatic HCC--
Lee S.G. et al., 2006 [36]RetrospectiveKorea1001997–200310Huge HCC--
Lee K.T. et al., 2012 [37]RetrospectiveTaiwan4072000–20071–5
6–10
>10
---
Lee W. et al., 2018 [38]RetrospectiveSouth Korea4192004–201410---
Lee J.C. et al., 2019 [39]RetrospectiveTaiwan5342003–2007<5
5–9
≥10
---
Lim C. et al., 2020 [40]RetrospectiveMulticentric,
France, and Spain
1872007–201610Transplantable HCC-Cirrhosis
Lise M. et al., 1998 [41]RetrospectiveItaly1001977–199510---
Liu Y. et al., 2016 [42]RetrospectiveChina2232004–201110---
Liu L. et al., 2021 [43]RetrospectiveChina2402014–201610---
Park J.H. et al., 2018 [44]RetrospectiveKorea922012–201510---
Poon R.T.P. et al., 2000 [45]RetrospectiveChina2881989–199710---
Sasaki Y. et al., 2006 [46]RetrospectiveJapan4171990–199910--HBV-or HCV-related HCC
Shapera E. et al., 2023 [47]RetrospectiveUSA582016–2022≤1
1.1–9.9
≥10
---
Shi F. et al., 2019 [48]RetrospectiveJapan2762006–201510Early HCC--
Shi M. et al., 2007 [49]Prospective Randomized TrialChina1691999–200320 vs. 10Solitary HCC--
Shimada K. et al., 2008 [50]RetrospectiveJapan1171996–200310Small HCC eligible for percutaneous local ablative therapy *--
Shin S. et al., 2018 [51]RetrospectiveKorea1162006–201510Solitary < 3 cm--
Su C.M. et al., 2021 [52]RetrospectiveTaiwan1591997–201710Solitary < 2 cm-CP A *
Takano S. et al., 2000 [53]RetrospectiveJapan3001987–199710---
Torii A. et al., 1993 [54]RetrospectiveJapan591981–199110Solitary ≤ 3 cmMinor/Major resection **-
Tsilimigras D. et al., 2020 [55]RetrospectiveMulticentric4041998–201710 T1 HCC --
Wang J. et al., 2010 [56]RetrospectiveChina4381991–200420 vs. 10
Wang H. et al., 2020 [57]RetrospectiveChina9042009–20102Solitary HCC ≤ 5 cm--
Yang J. et al., 2014 [58]RetrospectiveChina1.0842006–201210---
Yang P. et al., 2019 [59]RetrospectiveChina2.5082000–201310--HBV-related HCC
Zeng J. et al., 2020 [60]RetrospectiveChina6992008–201510--HBV-related HCC, patients ≤ 40 years-old
Zhang X.F. et al., 2014 [61]RetrospectiveChina3022008–201110--HBV-related HCC
Zhang H. et al., 2022 [62]RetrospectiveChina4252015–201810-Laparoscopic-
Zhou K.Q. et al., 2020 [63]RetrospectiveChina3092010–201510---
Zhou Z. et al., 2021 [64]RetrospectiveChina217-10Solitary HCC--
HCC: Hepatocellular carcinoma; TACE: transarterial chemoembolization; BCLC: Barcelona Clinic Liver Cancer prognosis and treatment strategy; MVI: microvascular invasion; HBV: hepatitis B virus; HCV: hepatitis C virus; DNA: deoxyribonucleic acid; AR: anatomical resection; and CP: Child–Pugh. * Eligible or percutaneous local ablative therapy: the criteria for local ablation therapy was up to three nodules 30 mm in size. ** Minor/Major, resection of </> three or more segments.
Table 2. Newcastle–Ottawa quality assessment.
Table 2. Newcastle–Ottawa quality assessment.
StudySelectionSample SizeDetectionConfoundingDetection
Bai S. et al., 2023 [17]HighHighLowLowUnclear/High
Belli G. et al., 2011 [18]HighHighLowHighUnclear/High
Chang W.T. et al., 2012 [19]ModerateHighLowHighUnclear/High
Chen M.F. et al., 2003 [20]HighHighLowHighUnclear/High
Chen Z.H. et al., 2021 [21]HighHighLowHighUnclear/High
Cheng C.H. et al., 2022 [22]ModerateHighLowLowUnclear/High
Dong S. et al., 2016 [23]HighHighLowHighUnclear/High
Endo Y. et al., 2023 [24]HighHighLowHighUnclear/High
Field W.B.S. et al., 2017 [25]HighHighLowHighUnclear/High
Han J. et al., 2019 [26]HighHighLowHigh Unclear/High
Hirokawa F. et al., 2014 [27]HighHighLowHighUnclear/High
Hsiao J.H. et al., 2017 [28]HighHighLowHighUnclear/High
Huang G. et al., 2013 [29]HighHighLowHighUnclear/High
Huang W.J. et al., 2015 [30]HighHighLowHighUnclear/High
Jeng K.S. et al., 2013 [31]HighHighLowHighUnclear/High
Ke Q. et al., 2023 [32]HighHighLowLowUnclear/High
Kobayashi N. et al., 2020 [33]ModerateHighLowLow Unclear/High
Laurent C. et al., 2005 [34]ModerateHighLowHighUnclear/High
Lee. C.S. et al., 1996 [35]HighHighLowHighUnclear/High
Lee S.G. et al., 2007 [36]HighHighLowHighUnclear/High
Lee K.T. et al., 2012 [37]ModerateHighLowHighUnclear/High
Lee W. et al., 2018 [38]HighHighLowHighUnclear/High
Lee J.C. et al., 2019 [39]ModerateHighLowHighUnclear/High
Lim C. et al., 2020 [40]ModerateHighLowHighUnclear/High
Lise M. et al., 1998 [41]ModerateHighLowHighUnclear/High
Liu Y. et al., 2016 [42]HighHighLowHighUnclear/High
Liu L. et al., 2021 [43]HighHighLowHighUnclear/High
Park J.H. et al., 2018 [44]HighHighLowHighUnclear/High
Poon R.T.P. et al., 2000 [45]HighHighLowHighUnclear/High
Sasaki Y. et al., 2006 [46]HighHighLowHighUnclear/High
Shapera E. et al., 2023 [47]ModerateHighLowHighUnclear/High
Shi F. et al., 2019 [48]HighHighLowHighUnclear/High
Shi M. et al., 2007 [49]LowLowLowHighUnclear/High
Shimada K. et al., 2008 [50]HighHighLowHighUnclear/High
Shin S. et al., 2018 [51]HighHighLowHighUnclear/High
Su C.M. et al., 2021 [52]ModerateHighLowHighModerate
Takano S. et al., 2000 [53]HighHighLowHighUnclear/High
Torii A. et al., 1993 [54]HighHighLowHighUnclear/High
Tsilimigras D. et al., 2020 [55]HighHighLowHighUnclear/High
Wang J. et al., 2010 [56]HighHighLowHighUnclear/High
Wang H. et al., 2020 [57]ModerateHighLowLowUnclear/High
Yang J. et al., 2014 [58]HighHighLowHighUnclear/High
Yang P. et al., 2019 [59]ModerateHighLowLowUnclear/High
Zeng J. et al., 2020 [60]HighHighLowHighUnclear/High
Zhang X.F. et al., 2014 [61]HighHighLowHighUnclear/High
Zhang H. et al., 2022 [62]HighHighLowHighUnclear/High
Zhou K.Q. et al., 2020 [63]ModerateHighLowHighUnclear/High
Zhou Z. et al., 2021 [64]HighHighLowLowUnclear/High
Table 3. OS and DFS.
Table 3. OS and DFS.
StudyPatients, n°OSDFS
Univariate Analysis,
p-Value
Multivariate Analysis,
p-Value
Subgroup AnalysisUnivariate Analysis,
p-Value
Multivariate Analysis,
p-Value
Subgroup Analysis
Margin assessed = 20 mm
Shi M et al., 2007 [49]1690.0080.003-0.046--
Wang J. et al., 2010 [56]438<0.0010.011--0.014-
Margin assessed = 10 mm
Bai S. et al., 2023 [17]6700.005--0.026--
Belli G. et al., 2011 [18]109---0.00140.022-
Chang WT et al., 2012 [19]478----0.042-
Chen M.F. et al., 2003 [20]2540.0008--0.0823NI-
Chen Z.H. et al., 2021 [21]1.517-0.006----
Han J.et al., 2019 [26]801<0.001<0.001Independent prognostic factor both in MVI+ and MVI− (p = < 0.001)0.0010.001Independent prognostic factor both in MVI+ and MVI− (p = < 0.001)
Hirokawa F. et al., 2014 [27]167-----Significant only in MVI+ (p = 0.0263)
Huang G. et al., 2013 [29]1.040<0.001--0.0010.001-
Hsiao J.H. et al., 2017 [28]2210.01780.0433----
Huang W.J. et al., 2015 [30]230<0.0010.007In MVI−, better RFS regardless of AR or NAR. In MVI+, AR and ≥10 mm, better RFS<0.001<0.001In MVI−, better RFS regardless of AR or NAR. In MVI+, AR and ≥10 mm, better RFS
Laurent C. et al., 2005 [34]1080.01--0.0050.035-
Lee W. et al., 2018 [38]4190.690--0.0420.146-
Lee K.T. et al., 2012 [37]407NS--0.0230.010-
Lee J.C. et al., 2019 [39]534---0.042-Significative in AFP > 200 ng/mL (p = 0.012)
Lee. C.-S. et al., 1996 [35]480.040.036----
Lee S.G. et al., 2007 [36]1000.075--0.0090.001-
Lim C. et al., 2020 [40]1870.70--0.03--
Lise M. et al., 1998 [41]1000.040.05-0.050.03-
Liu L. et al., 2021 [43]240<0.0010.013-<0.0010.011-
Liu Y. et al., 2016 [42]223---0.005 0.006 Analysis performed for the risk of recurrence
Park J.H. et al., 2018 [44]920.117-Significative difference only in PET-FDG (+) HCC (p = <0.001)0.302-Not significative both in PET-FDG (+) and (−) HCC
Poon R.T.P. et al., 2000 [45]2880.495--0.943NI-
Sasaki Y. et al., 2006 [46]406---0.0020.049-
Shapera E. et al., 2023 [47]580.013-----
Shi M. et al., 2007 [49]1690.0080.003-0.046-
Shi F. et al., 2019 [48]276<0.0010.007RM > 10 mm independent from AR/NAR in MVI− patients. In MVI+, both RM > 10 mm and AR are necessary <0.001<0.001RM > 10 mm independent from AR/NAR in MVI− patients. In MVI+, both RM > 10 mm and AR are necessary
Shimada K. et al., 2008 [50]117---0.02030.034-
Shin S. et al., 2018 [51]116---0.453-Suggested RM > 1 cm in MVI+ (p = 0.049)
Su C.M. et al., 2021 [52]1590.053--0.096--
Takano S. et al., 2000 [53]3000.0125-----
Torii A. et al., 1993 [54]59<0.10.7191----
Tsilimigras D.I. et al., 2020 [55]4040.047--0.020.017In AR, the RM is not an independent risk factor. In NAR, the RM is an independent risk factor
Yang J. et al., 2014 [58]1.0840.0050.002-0.007 0.011-
Yang P. et al., 2019 [59]2.508<0.001-Independent prognostic factor in MVI+ (p ≤ 0.001)<0.001-Independent prognostic factor in MVI+ (p ≤ 0.001)
Zeng J. et al., 2020 [60]699<0.01<0.01-<0.01--
Zhang X.F. et al., 2014 [61]302---0.0480.048-
Zhang H. et al., 2022 [62]425---0.0190.002-
Zhou K.Q. et al., 2020 [63]309--Not significative in CTC > 1 (p = 0.078)--Independent risk factor when CTC > 1 (p ≤ 0.023)
Zhou Z. et al., 2021 [64]8170.067-->0.05--
Margin assessed = 5 mm
Dong S. et al., 2016 [23]586---0.0000.001Suggests in NAR an RM > 5 mm (p ≤ 0.05)
Endo Y. et al., 2023 [24]782<0.001<0.01Especially with a high alpha-fetoprotein tumor burden score (ATS) (p ≤ 0.05)NINIEspecially with a high alpha-fetoprotein tumor burden score (ATS) (p ≤ 0.05)
Field W.B.S. et al., 2017 [25]33000.23--0.33--
Lee K.T. et al., 2012 [37]407NS--0.3200.457-
Lee J.C. et al., 2019 [39]534---0.0270.024Significative in AFP > 200 ng/mL (p = 0.012)
Jeng K.-S. et al., 2013 [31]1960.055--0.066--
Margin assessed = 4 mm
Ke Q. et al., 2023 [32]1.0330.150--0.470--
Margin assessed = 2 mm
Wang H. et al., 2020 [57]904<0.001<0.001Significative in MVI+ (p = 0.001) and in non-cirrhotic (p = 0.001)<0.001<0.001Significative in MVI+ (p ≤ 0.001) and in non-cirrhotic (p ≤ 0.001)
Margin assessed = 1 mm
Cheng C.H. et al., 2022 [22]983---0.155--
Kobayashi N. et al., 2020 [33]4540.496--0.375--
Shapera E. et al., 2023 [47]58NI-----
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Al Farai, A.; Sangiuolo, F.; Albaali, D.; Ajoub, M.; Giannone, F.; Cassese, G.; Panaro, F. The Definition of the Best Margin Cutoff and Related Oncological Outcomes After Liver Resection for Hepatocellular Carcinoma: A Systematic Review. Cancers 2025, 17, 1759. https://doi.org/10.3390/cancers17111759

AMA Style

Al Farai A, Sangiuolo F, Albaali D, Ajoub M, Giannone F, Cassese G, Panaro F. The Definition of the Best Margin Cutoff and Related Oncological Outcomes After Liver Resection for Hepatocellular Carcinoma: A Systematic Review. Cancers. 2025; 17(11):1759. https://doi.org/10.3390/cancers17111759

Chicago/Turabian Style

Al Farai, Abdallah, Federico Sangiuolo, Dana Albaali, Mahmoud Ajoub, Fabio Giannone, Gianluca Cassese, and Fabrizio Panaro. 2025. "The Definition of the Best Margin Cutoff and Related Oncological Outcomes After Liver Resection for Hepatocellular Carcinoma: A Systematic Review" Cancers 17, no. 11: 1759. https://doi.org/10.3390/cancers17111759

APA Style

Al Farai, A., Sangiuolo, F., Albaali, D., Ajoub, M., Giannone, F., Cassese, G., & Panaro, F. (2025). The Definition of the Best Margin Cutoff and Related Oncological Outcomes After Liver Resection for Hepatocellular Carcinoma: A Systematic Review. Cancers, 17(11), 1759. https://doi.org/10.3390/cancers17111759

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