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World J Gastrointest Oncol. Nov 15, 2025; 17(11): 113431
Published online Nov 15, 2025. doi: 10.4251/wjgo.v17.i11.113431
Folate receptor-positive circulating tumor cells might function as potential biomarkers for hepatocellular carcinoma
Zun-Yi Zhang, Jun-Jie Liu, Wei Zhang, Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
Mi Zhou, Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
ORCID number: Zun-Yi Zhang (0000-0002-0370-1596); Jun-Jie Liu (0000-0001-8768-3868); Wei Zhang (0000-0002-3380-1010).
Co-first authors: Zun-Yi Zhang and Mi Zhou.
Author contributions: Zhang ZY performed the majority of the writing and prepared the table; Zhou M prepared the figure; Liu JJ and Zhang W designed the outline of this paper; Zhang ZY and Zhou M contributed equally to this manuscript and are co-first authors. All author approval the final manuscript.
Institutional review board statement: The studies involving human participants were reviewed and approved by the Ethics Committee of Tongji Hospital (Approval No. TJ-IRB202502081). All procedures were performed in accordance with the guidelines of the Declaration of Helsinki.
Informed consent statement: This was a retrospective study and was approved by the Ethics Committee of Tongji Hospital. Written informed consent was not obtained from the participants in this study.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: All the data generated or analyzed during this study are included in this published article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Wei Zhang, Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan 430030, Hubei Province, China. weizhangtjh@hust.edu.cn
Received: August 26, 2025
Revised: September 14, 2025
Accepted: October 21, 2025
Published online: November 15, 2025
Processing time: 80 Days and 5.4 Hours

Abstract
BACKGROUND

Early metastasis and recurrence are risk factors that negatively affect the prognosis of advanced hepatocellular carcinoma (HCC). Alpha fetoprotein (AFP) is currently the most prevalent serum biomarker for detecting HCC and predicting tumor recurrence. However, its sensitivity and specificity are not sufficient, especially in patients who are AFP negative.

AIM

To detect folate receptor (FR)-positive circulating tumor cells (CTCs) and explore their role in the diagnosis and staging of HCC.

METHODS

This work is a retrospective study that included 128 consecutive patients with benign or malignant disease of the liver from 2020 to 2021. FR + CTCs were collected from 3 mL of peripheral blood via immunomagnetic depletion of leukocytes. After ligand-target polymerase chain reaction, the number of FR + CTCs was measured. Receiver operating characteristic curves were used to determine the threshold of sensitivity and specificity of FR + CTCs. The Youden index was used to identify the optimal cutoff point and diagnostic efficiency of FR + CTCs counts. Univariate and multivariate Cox proportional hazards regression analyses were performed to evaluate the associations of biomarkers or clinical parameters with disease-free survival (DFS).

RESULTS

The FR + CTCs counts showed excellent diagnostic efficacy in patients with HCC, with high sensitivity (0.905) and specificity (0.773) compared with patients with benign disease. Compared with that of the AFP level, the area under the receiver operating characteristic curve of the FR + CTC count is significantly greater (0.900 compared with 0.730, P < 0.05). FR + CTC levels were significantly correlated with macrovascular invasion, tumor size, tumor number, and extrahepatic tumor stage in HCC patients. FR + CTC counts were correlated with DFS in HCC patients after R0 resection. Univariate analysis of DFS revealed that the FR + CTC count, tumor number, Barcelona Clinic Liver Cancer stage and extrahepatic metastasis status were correlated with DFS. Multivariate analysis of DFS revealed that the FR + CTC count and tumor number were correlated with DFS.

CONCLUSION

Ligand-target polymerase chain reaction is a sensitive tool for quantifying the number of FR + CTCs in HCC patients. These findings could provide new insight for stratifying HCC patients and predicting the recurrence of HCC.

Key Words: Folate receptor-circulating tumor cells; Hepatocellular carcinoma; Potential biomarker; Vascular invasion; Recurrence

Core Tip: Ligand-target polymerase chain reaction is a sensitive tool for quantifying folate receptor (FR)-positive circulating tumor cells (CTCs) in hepatocellular carcinoma (HCC) patients. FR + CTCs counts were correlated with macrovascular invasion, tumor size, tumor number, extrahepatic tumor stage and disease-free survival time after surgery in HCC patients. These findings could provide new insights for stratifying HCC patients and predicting the recurrence of HCC by quantifying FR + CTCs.



INTRODUCTION

Hepatocellular carcinoma (HCC) is among the most common types of liver cancer and has a high mortality rate worldwide. The percentage of HCC patients with vascular invasion at the time of initial HCC diagnosis ranges from 10% to 40%[1]. According to the American Association for the Study of Liver Disease/Barcelona Clinic Liver Cancer (BCLC) staging system and treatment guidelines, HCC associated with vascular invasion is considered an advanced stage of disease. The treatment strategy for intermediate-stage or advanced-stage HCC differs between Eastern and Western populations[2]. On the basis of different guidelines, curative resection or conservative treatment, including transcatheter arterial chemoembolization (TACE) and systemic therapy, is suggested[3]. However, the prognosis of HCC remains unsatisfactory. Two main factors influence the prognosis of HCC: Early metastasis and recurrence after resection and the detection of advanced-stage HCC[4,5]. Early metastasis and recurrence are the main risk factors for poor outcome of HCC patients after resection[6]. Identifying HCC patients with a low possibility of recurrence or early metastasis remains a clinical problem[7]. Another risk factor that can negatively affect prognosis is the poor ability to detect early-stage HCC. Most patients with HCC are initially diagnosed with advanced-stage disease. The stage of HCC is closely correlated with overall survival, indicating that screening for liver cancer is important. Alpha fetoprotein (AFP) is currently the most common serum biomarker for screening for HCC and predicting tumor recurrence. However, its sensitivity and specificity are not sufficient, especially in patients who are AFP negative[8]. Thus, reliable biomarkers that can be used to detect early-stage HCC and diagnose recurrence are urgently needed.

Circulating tumor cells (CTCs), which are known as “liquid biopsies”, are used to monitor the progression, response to therapy and recurrence of different malignant diseases[9]. Folate receptors (FRs) are cysteine-rich cell surface glycoproteins that bind folate with high affinity to mediate the cellular uptake of folate. FRs are highly expressed in tumor cells, including liver cancer cells. However, these receptors are expressed at very low levels in normal tissues[9]. FRs are not detected in blood samples from healthy donors. Therefore, FRs might function in capturing CTCs in patients with liver cancer.

Ligand-target (LT) polymerase chain reaction (PCR), developed by Shanghai Geno Biotech Co., Ltd. (China), has been used to detect CTCs in patients with lung cancer and pancreatic cancer through enrichment of CTCs using FRs expressed on the cell surface. By labeling with a conjugate of tumor-specific folic acid that can selectively bind to FRs of cancer cells and a synthesized oligonucleotide, CTCs can be converted into detector molecules that can be amplified for quantitative analysis[10]. The diagnostic ability of this technique has been confirmed in lung cancer and pancreatic cancer. This study evaluated the clinical value of FR-positive CTCs in patients with liver cancer.

MATERIALS AND METHODS
Patients and clinical data collection

This work was a retrospective, single-center clinical trial conducted at Hepatic Surgery Center, Tongji Hospital (China). From August 2020 to April 2021, 128 consecutive patients with benign and malignant liver disease were enrolled in this retrospective study. Among these patients, 107 were diagnosed with liver cancer, including HCC. Twenty-one patients were diagnosed with benign liver disease. The diagnosis was based on the histopathological diagnosis after resection, radiation examination via computed tomography/magnetic resonance imaging and laboratory examination. Liver tumor stages were based on the BCLC staging system. All clinical data, including age, sex, preoperative tumor marker (AFP) level, tumor differentiation, tumor size, vascular invasion and distant metastases, and satellite number, were collected. This study was approved by the Ethics Committee of Tongji Hospital (Approval No. TJ-IRB202502081). All procedures were performed in accordance with the guidelines of the Declaration of Helsinki.

Treatment

All patients included in this study were evaluated by a multidisciplinary team consisting of experienced surgeons, radiologists and oncologists at our hospital. If the tumor was respectable according to the China liver cancer staging system or BCLC staging system, resection treatment was proposed. If the tumor thrombus was combined, it was either resected en bloc or extracted by thrombectomy depending on the location and extent of the tumor thrombus and the lesion in the liver. If the patient did not qualify for resection treatment, TACE or systemic treatments, including lenvatinib or sorafenib, were suggested.

Blood sample processing and CTC detection

Peripheral blood samples (3 mL) were obtained from all enrolled patients in vacuum tubes containing the anticoagulant ethylenediaminetetraacetic acid for analysis before or one week after treatment. All blood samples were processed within 24 hours. CTCs were enriched and analyzed via a CytoploRare Kit (Shanghai Geno Biotech Co., Ltd., China), a commercially available CTC detection kit approved by China’s Food and Drug Administration. The methods were described previously[11]. The LT-PCR is described in the following article[12]. The sensitivity and specificity have also been reported previously.

Follow-up of HCC patients who underwent R0 resection

Follow-up after R0 resection of HCC was conducted via hospital-based follow-up visits or by telephone. All patients were followed up until death or June 1, 2022. After R0 resection in HCC patients, periodic routine follow-up at 3-month intervals was performed for the first 2 years. At the routine follow-up visit, AFP testing, liver function testing, enhanced computed tomography and ultrasonography were performed to determine whether the tumor had recurred. Once recurrence was suspected in the routine examination, enhanced magnetic resonance imaging or digital subtraction angiography was performed for confirmation. Disease-free survival (DFS) was defined from the date of surgery to the date of recurrence detection at the last follow-up.

Statistical analysis

Continuous data are summarized as the mean ± SD or median (interquartile ranges). To compare CTC counts between the two groups, we used unpaired nonparametric tests. Receiver operating characteristic (ROC) curves were used to determine the threshold of sensitivity and specificity. The Youden index was used to identify the optimal cutoff point and diagnostic efficiency. P < 0.05 was considered to indicate statistical significance. The most efficient cutoff values for discriminating patients with HCC from non-HCC patients were identified via ROC curve analysis, and the area under the ROC curve was calculated. The data were prepared and analyzed via R software. Graphs were constructed with GraphPad PRISM version 8 or R software. Univariate Cox proportional hazards regression analysis was performed to evaluate the associations of biomarkers or clinical parameters with DFS. The P-values were calculated via the Wald test. Variables with P < 0.05 in the univariate analysis were included in the multivariate analysis. Multivariate Cox proportional hazards regression analysis was performed to evaluate the independent prognostic value of the clinical parameters. Kaplan-Meier analysis was used to calculate the DFS. The log-rank test was used to calculate the P-value of the Kaplan-Meier analysis.

RESULTS
Patient characteristics

All patient characteristics are summarized in Table 1. Among the 128 patients included in this study, 107 patients were confirmed to have HCC. Eighty-four HCC patients were tested for FR + CTC counts before any treatment. Fourteen HCC patients were checked for FR + CTC counts 1 week after radical hepatectomy, and 9 unresectable patients were checked for FR + CTC counts 1 week after receiving TACE and/or systemic treatment. The patients with HCC included in this study had a mean age of 56.2 years, with a range of 27-79 years. A total of 87.6% of the patients were male. The tumor diameter ranged from 5.5-7.0 cm. Twenty-one patients with benign liver disease were also included in this study. Among the patients with benign liver disease, 10 had hemangiomas, 7 had liver cirrhosis, and 4 had hepatolithiasis (Table 1).

Table 1 Patient characteristics, mean ± SD/median (interquartile ranges).
Characteristics
Number of patients
HCC
Age, years56.2 ± 12.3
Sex
    Male 92
    Female15
Tumor size (mm)6.26 ± 4.1
Tumor stage
    BCLC-A37
    BCLC-B41
    BCLC-C39
Vascular invasion
    Macro invasion20
    Micro invasion15
    No invasion72
Before treatment84
After R0 resection14
After conservative treatment9
Benign disease
Age54.3 (25-70)
Histological type
    Liver cirrhosis7
    Hemangioma10
    Hepatolithiasis4
Diagnostic efficiency of FR + CTCs for HCC

The FR + CTC counts were compared between the malignant group (before treatment) and the benign group. The average CTC count in patients with benign disease was 8.1 ± 3.0 FU/3 mL, which was significantly lower than that in patients with HCC (14.61 ± 5.01 FU/3 mL; P = 0.0108; Figure 1A). The diagnostic efficiency of the FR + CTC count in distinguishing HCC from benign HCC disease was based on ROC curves. The area under the ROC curve was 0.9. The optimal FR + CTC level cutoff value for differentiating patients with HCC from those with benign HCC disease was 9.825 FU/3 mL. The sensitivity and specificity were 0.902 and 0.773, respectively (Figure 1B). Moreover, the diagnostic performance of AFP level and FR + CTC count combined with AFP level was also evaluated. The areas under the ROC curves of the FR + CTC count combined with the AFP level and the AFP level alone were 0.952 (0.830-0.972) and 0.73 (0.639-0.821), respectively. The diagnostic efficiency of FR + CTC counts was better than that of AFP levels. However, the diagnostic efficiency of FR + CTC counts combined with AFP levels was not significantly different from that of FR + CTC counts alone (P = 0.215).

Figure 1
Figure 1 Comparative analysis of folate receptor-circulating tumor cell count and alpha fetoprotein for hepatocellular carcinoma diagnosis. A: Comparison of folate receptor-circulating tumor cell counts between patients with hepatocellular carcinoma and those with benign liver disease; B: Receiver operating characteristic curves of the folate receptor-circulating tumor cell count, the alpha fetoprotein level and the combination for hepatocellular carcinoma. CTC: Circulating tumor cell; HCC: Hepatocellular carcinoma; AUC: Area under the curve; AFP: Alpha fetoprotein.
Clinical pathological features associated with FR + CTCs

To continue our research, we compared the correlations between FR + CTC counts and clinicopathological characteristics in 84 HCC patients before treatment. All the information of the HCC patients is summarized in Table 2. We found that FR + CTC levels did not differ according to differentiation, satellite state or AFP level. However, significant differences in tumor diameter, extrahepatic metastatic state, tumor number, vascular invasion state, and BCLC stage were detected among the patients grouped by FR + CTC count (Figure 2). In HCC patients with tumor diameters greater than 5 cm, FR + CTC counts were elevated (15.8 FU/3 mL vs 12.7 FU/3 mL, P = 0.048; Figure 2A). In the subgroup of HCC patients with extrahepatic metastasis, the number of FR + CTCs was significantly greater than that in HCC patients with no extrahepatic metastasis (22.6 FU/3 mL vs 13.5 FU/3 mL, P < 0.001; Figure 2B). In the subgroup with more than 3 tumors, FR + CTC counts were higher than those in HCC patients with 1 or 2 tumors (17.77 FU/3 mL vs 13.03 FU/3 mL, P = 0.0007; 17.77 FU/3 mL vs 13.4 FU/3 mL, P = 0.003; Figure 2C). In the subgroup of patients with microvascular invasion, FR + CTC counts were slightly greater than those in patients with no invasion. However, the difference was not statistically significant (12.37 FU/3 mL vs 12.15 FU/3 mL, P = 0.8116; Figure 2D). FR + CTC counts were higher in the subgroup of HCC patients with macrovascular invasion than in patients with no vascular invasion (18.9 FU/3 mL vs 12.15 FU/3 mL, P < 0.0001). Overall, we found that FR + CTC counts were correlated with BCLC stage (11.62 vs 13.6 vs 20.4, P < 0.05; Figure 2E). However, satellite metastasis and AFP levels were not correlated with FR + CTC counts (Table 2).

Figure 2
Figure 2 Comparison of folate receptor-circulating tumor cell counts in hepatocellular carcinoma patients. A: Different tumor diameters; B: Different extrahepatic metastasis stages; C: Different tumor numbers; D: Different vascular invasion statuses; E: Different Barcelona Clinic Liver Cancer stages. CTC: Circulating tumor cell; BCLC: Barcelona Clinic Liver Cancer; NS: Not significant.
Table 2 Relationships of circulating tumor cell levels between different patients` characteristic, mean ± SD.
Characteristic
Number of patients
CTC units
P value
Sex0.92
    Female1214.4 ± 5.8
    male7214.6 ± 4.9
Age0.62
    ≤ 503114.2 ± 3.8
    > 505314.8 ± 5.5
Tumor diameter0.048a
    < 5 cm4512.7 ± 4.9
    > 5 cm3915.8 ± 5.0
Tumor stage< 0.001c
    BCLC (A + B)6312.7 ± 3.2
    BCLC (C)2120.4 ± 5.3
Vascular invasion0.201
    No invasion5814.1 ± 5.01
    Micro-vascular invasion1212.2 ± 2.09
    Macro-vascular invasion1418.8 ± 4.290.0023b
Satellite0.21
    No7614.6 ± 5.1
    yes812.5 ± 2.8
AFP0.636
    ≤ 83414.3 ± 4.8
    > 85014.8 ± 5.2
Tumor number0.003b
    15313.4 ± 5.0
    > 13116.6 ± 4.5
Extrahepatic metastasis< 0.001c
    No1013.5 ± 3.9
    Yes7422.6 ± 6.6
FR + CTC counts in HCC patients after treatment

Next, we compared the CTC counts in patients with malignant disease before and after curative or noncurative treatment. We found that the CTC counts in HCC patients before treatment was greater than those in HCC patients after surgical treatment or TACE (14.6 FU/3 mL vs 9.5 FU/mL vs 12.1 FU/mL, P < 0.05; Figure 3A). Therefore, CTC counts might aid in the evaluation of treatment efficacy in HCC patients (Figure 3B).

Figure 3
Figure 3 Prognostic and predictive utility of folate receptor-circulating tumor cells in hepatocellular carcinoma. A: Comparison of disease-free survival time between hepatocellular carcinoma (HCC) patients with high and folate receptor (FR)-circulating tumor cell (CTC) counts; B: Comparison of FR + CTC counts in HCC patients before any treatment and after R0 resection or conservative treatment; C: Receiver operating characteristic curves comparing the performance of FR + CTC counts between HCC patients with early recurrence and those with late recurrence. CTC: Circulating tumor cell; AUC: Area under the curve.
Predictive value of baseline CTC counts for DFS

In subsequent research, the ability of the FR + CTC counts to predict the recurrence of HCC patients after hepatectomy was determined via ROC curves of DFS time. The area under the ROC curve was 0.883 (Figure 3C). The optimal FR + CTC count cutoff value for stratifying HCC patients into different prognostic groups was 12.9 FU/3 mL. The sensitivity and specificity were 0.909 and 0.833, respectively. The DFS curve revealed that FR + CTC counts > 12.9 were associated with poor outcomes for patients with HCC after hepatectomy. The median DFS of HCC patients with FR + CTC counts > 12.9 was 7 months. For HCC patients with FR + CTC counts < 12.9, the median DFS has not been reached.

Univariate analysis of DFS time revealed that FR + CTC counts < 12.9 [hazard ratio (HR) = 0.057, 95% confidence interval (CI): 0.016-0.201], single tumors (HR =0.25, 95%CI: 0.096-0.65), extrahepatic metastasis (HR = 4.953, 95%CI: 1.118-21.94), and BCLC-C stage (HR = 4.978, 95%CI: 1.001-24.75) were correlated with tumor recurrence (Table 3). In the multivariate analysis, only FR + CTC counts < 12.9 (HR = 0.04, 95%CI: 0.01-0.17) and single tumors (HR = 0.19, 95%CI: 0.05-0.72) were correlated with a better prognosis (Table 4).

Table 3 Univariate analysis of disease-free survival time.
FactorsUnivariate analysis
HR (95%CI)
Significance
CTC level> 12.9Reference1
< 12.90.057 (0.016-0.201)< 0.01b
Extrahepatic metastasisNoReference1
Yes4.953 (1.118-21.94)0.031a
Tumor numberMultipleReference1
Single0.25 (0.096-0.65)0.004b
Tumor diameter> 5 cmReference1
< 5 cm0.44 (0.17-1.10)0.0812
BCLC stageAReference1
B2.604 (0.95-7.18)0.064
C4.978 (1.001-24.75)0.049a
SatelliteYesReference1
No1.043 (0.6572-1.656)0.858
DifferentiationHighReference1
Mediate1.256 (0.1403-11.25)0.458
Low2.213 (0.27-18.03)0.838
Age< 50Reference1
> 500.512 (0.1674-1.55)0.237
AFP> 400Reference1
< 4000.57 (0.22-1.48)0.25
SexMaleReference1
Female0.55 (0.17-1.662)0.287
Vascular invasionYesReference1
No1.132 (0.4-3.178)0.814
Table 4 Multivariate analysis of disease-free survival time.
FactorsMultivariate analysis
HR (95%CI)Significance
CTC level< 12.90.04 (0.01-0.17)< 0.001b
Tumor numberSingle0.19 (0.05-0.72)0.015a
Extrahepatic metastasis0.22 (0.03-1.58)0.131
Diameter< 5 cm0.54 (0.08-3.58)0.526
BCLC stageB1.43 (0.22-9.49)0.709
C3.20 (0.31-33.09)0.328
DISCUSSION

The CTCs have potential value in diagnosing and monitoring recurrence in patients with various malignancies[13,14]. However, CTCs are extremely rare. The frequency of CTCs is as low as 1 per 106/107 leukocytes. Therefore, methods to detect CTCs must have high sensitivity and specificity. In recent years, many platforms have been developed to detect CTCs in peripheral blood[15]. The CellSearch system, which is among the most commonly used methods for identifying CTCs, is an immunology-based platform that uses epithelial cell adhesion molecule as the capture target[16]. However, for cancer types characterized by a loss of more epithelium-like CTCs, this detection method is not sensitive. Recently, several studies, including double-blind clinical trials, have proven the value of FR + CTCs labeled with folate-linked oligonucleotides and then quantified by reverse transcription PCR in detecting and assessing non-small cell carcinoma and pancreatic cancer[11]. As other reports have revealed, FRs are also highly expressed in the liver[17]. Early metastasis and recurrence are risk factors that negatively affect the prognosis of advanced HCC. Currently, potential biomarkers are not available to predict the risk of early metastasis and recurrence in HCC patients after surgery. AFP is currently the most common serum biomarker for detecting HCC and predicting tumor recurrence. However, its sensitivity and specificity are not sufficient, especially in patients who are AFP negative[8]. In the era of systemic treatment, if biomarkers for patients with HCC are lacking, evaluating the effectiveness of treatment can be very difficult. Thus, reliable biomarkers that can quantify tumor burden and the possibility of recurrence are urgently needed. We hypothesized that FR + CTCs could be used in the diagnosis and assessment of disease severity, which is the focus of this article.

In this study, we found that FR + CTC counts were elevated in patients with HCC compared with patients with benign liver diseases. A value of 9.825 FU/3 mL was confirmed as the cutoff value for distinguishing HCC from benign disease. In previous studies, the FR + CTC counts in healthy volunteers were reported to be lower than 6 FU/3 mL[18-20]. We reported that the cutoff value for classifying benign and malignant tumors was greater than that reported previously. After reviewing the data, we found that, the number of FR + CTCs was slightly greater in some patients with hepatolithiasis than that in patients with hemangioma and liver cirrhosis. This increase in CTCs might have caused inflammatory reactions in patients with hepatolithiasis. According to previous reports, FRs are expressed at high levels during inflammation[17]. This high expression may explain why the cutoff value was greater than the reported levels in healthy volunteers. Peripheral blood contains a small proportion of activated monocytes with functional FR expression[21]. In a subsequent study, the diagnostic efficacies of FR + CTC counts and those of FR + CTC counts combined with AFP levels were better than those of AFP levels alone (P = 0.0037; P = 0.0001). However, the area under the ROC curve was larger for the combination of FR + CTC counts and AFP levels than for AFP levels, but this difference was not significant. The combination of FR + CTC counts and AFP levels could improve the diagnostic efficiency for HCC. Although improvements in HCC therapy have been made, the overall 5-year survival rate of patients with HCC is still not acceptable, which may be due to the late detection of liver tumors. Currently, the most commonly used diagnostic methods for liver tumors are tumor biomarkers, such as AFP, combined with radiological examination[22,23]. However, the efficacy of this detection method is insufficient, especially in patients whose AFP level is normal[24]. The AFP level is elevated in nearly 40%-70% of HCC patients with tumors < 3 cm[25]. To improve the diagnostic value for HCC patients, many other biomarkers, such as osteopontin and microRNAs, have been developed[26]. However, the diagnostic value of these new biomarkers remains limited. According to published reports, detecting a liver tumor early, especially when it is singular and smaller than 2 cm, can greatly increase the survival rate. The combination of FR + CTC counts and AFP levels might provide new insights into early diagnosis and improve patient outcomes. Because immune treatment has been widely used in patients with advanced HCC, FR + CTC measurement might provide a new tool to evaluate treatment effectiveness after immune treatment.

Tumor stage is often used to determine prognosis after treatment. FR + CTC counts can also be used to predict prognosis. In this study, we explored the relationships among tumor biological characteristics, including tumor diameter, vascular invasion, differentiation stage, satellite metastasis, tumor number, extrahepatic metastasis, tumor stage, BCLC stage, and AFP level. We found that FR + CTC counts were correlated with tumor diameter, extrahepatic metastasis, tumor number, macrovascular invasion and BCLC stage. However, BCLC stage and extrahepatic metastasis were not significantly correlated with FR + CTC counts in multivariate Cox analysis despite being correlated in univariate Cox analysis. This difference is likely due to the limited sample size. In a subsequent study, we revealed that R0 resection or conservative treatment, including TACE or targeted medicine, decreased the number of FR + CTCs. These findings indicate that FR + CTC counts can be used to detect HCC in patients with malignant liver tumors. Moreover, the FR + CTC counts did not differ between HCC patients with normal AFP levels and HCC patients with abnormal AFP levels, which suggests that the FR + CTC count might serve as an independent serum biomarker.

Finally, survival analysis revealed that higher FR + CTC counts before treatment were correlated with shorter DFS after hepatectomy. The cutoff value of the ROC curves for distinguishing prognoses was 12.95 FU/3 mL. Both univariate and multivariate analyses confirmed that FR + CTC counts were correlated with DFS after hepatectomy. In contrast, the level of AFP, one of the most commonly used serum markers of HCC, was not correlated with the outcome of patients with HCC.

CONCLUSION

This retrospective clinical trial revealed that LT-PCR might be a useful and reliable tool for identifying FR + CTCs in the circulation of patients with HCC. The number of FR + CTCs correlated with tumor stage, vascular invasion state, extrahepatic metastatic state, tumor number and tumor diameter. We also reported that the number of FR + CTCs decreased within 2 weeks after R0 resection or conservative treatment. Elevated FR + CTC counts in HCC patients were also correlated with shorter DFS. These results showed that FR + CTC counts might function as a tool for quantifying the severity of HCC in patients. FR + CTC counts are also a useful quantitative tool for evaluating the effect of conservative treatment and predicting early recurrence after hepatectomy. However, this research has several limitations. The number of patients included in the study was relatively small. Further large cohort studies to determine the changes in the numbers of FR + CTCs in HCC patients after surgery or systemic treatment are warranted.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Oncology

Country of origin: China

Peer-review report’s classification

Scientific Quality: Grade B, Grade C

Novelty: Grade B, Grade B

Creativity or Innovation: Grade C, Grade C

Scientific Significance: Grade B, Grade C

P-Reviewer: Zhang SY, MD, Assistant Professor, China S-Editor: Zuo Q L-Editor: A P-Editor: Zhao YQ

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