Background
Hepatocellular carcinoma (HCC) is the fifth most common malignancy worldwide, and is ranked second in global cancer-related mortality. The high incidence and poor prognosis of HCC are current focuses of clinical research [
1]. The main treatments for HCC include surgical resection and liver transplantation. However, the tumor recurrence rate exceeds 70 % after 5 years following resection, and recurrence is considered the main contributor to mortality [
2]. Imaging tests and pathological examination are limited in terms of accuracy and sensitivity, while common serum markers display poor diagnostic performance [
3]. It is therefore critical to find robust prognostic biomarkers with which to monitor postoperative recurrence for HCC patients [
4].
The progression of a tumor consists of two stages: growth of the primary tumor and development of distant metastases. Circulating tumor cells (CTCs) spread from the primary tumor sites or the metastases into the peripheral blood supply, and possess characteristics of stem cells combined with invasive ability. Distant metastases induced by CTC invasion are believed to be responsible for the majority cases of recurrence and cancer-related deaths. Therefore, isolation and detection of CTCs will help us to understand the processes of early metastasis and recurrence, and the aggressiveness of tumors [
5].
Epithelial cell adhesion molecule-positive (EpCAM
+) CTCs are a proven independent risk factor for HCC recurrence in our previous study [
6], while immune suppressive CD4
+CD25
+ regulatory T cells (Treg) intra-nuclear expressing Foxp3
+ are associated with tumor immune tolerance and immune escape [
7]. Treg cell proliferation is known to be significantly associated with tumor invasion and poor prognosis [
7], and increased proportions of Foxp3
+ Treg cells were shown to be an important predictor for the high recurrence and poor survival rates of HCC patients [
8].
The prognostic significance of CTC or Treg cells alone for HCC recurrence has therefore already been investigated; however, the prognostic value of CTCs in combination with Tregs has not yet been established. The objective of our study was therefore to determine the prognostic significance of preoperative EpCAM+ CTCs and Treg cells population levels for recurrence in HCC patients following curative resection, and to explore the interaction between EpCAM+ CTCs and the tumor immune microenvironment.
Methods
Patients
From March to June 2012, 49 HCC patients undergoing curative resection at the Zhongshan Hospital were recruited (36 males and 13 females), with a median age of 50 years (range: 37 to 83). According to Child-Pugh score criteria, 48 patients were classified as grade A, and one as grade B. All cases enrolled had to fulfill the following criteria: (i) Hepatitis B virus-related HCC with pathological diagnosis; (ii) about to receive curative resection; (iii) no history of blood transfusion, acquired immunologically mediated disease or any anti-tumor treatment within the preceding 6 months. This study adopted the Barcelona Clinic Liver Cancer (BCLC) staging system and the Edmondson-Steiner grading system. Fifty healthy volunteers were recruited as the control group (35 males and 15 females). All patients provided informed consent before sample collection.
Approval for the use of human subjects was obtained from the Research Ethics Committee of Zhongshan Hospital, and informed consent was obtained from each individual enrolled in this study.
Specimen collection
A peripheral blood sample (6 mL each) was collected into an EDTA-K2 anticoagulant tube (BD Biosciences, USA in the morning on the day of surgery before the operation. Prior to this, the first 6 mL of blood was discarded to avoid epithelial cell contamination. RNA extraction and reverse transcription were completed within 8 h following collection (details below). Samples of cDNA were preserved at −20 °C. All the patients received curative resection and the common operation time was about 2–3 h and the average bleeding was 300 ml.
Apparatus and reagents
The monocyte isolation kit used was Ficoll-Paque Plus (GE Healthcare, USA). CD45 cells were isolated with RosetteSep Human CD45 Depletion Cocktail (Stemcell Technologies, Canada). Other equipment used included the RNA extraction kit, RNeasy Mini Kit (Qiagen, Germany), the QuantiTect Reverse Transcription kit, the Human Regulatory T cell Staining Kit (eBioscience, USA), the LightCycler 480 Real-time PCR system (Roche, Switzerland) and the FACS Calibur flow cytometry system (BD Biosciences, USA).
EpCAMmRNA+ CTC detection and qRT-PCR
CTC detection was processed by a negative enrichment and quantitative real time polymerase chain reaction (qRT-PCR) based platform [
9]. A peripheral blood sample was collected for each patient (5 ml). Target cells were first negative enriched by RosetteSep Human CD45 Depletion Cocktail (StemCell, Canada), which to remove leukocyte impureness [
9]. After enrichment, messenger RNA (mRNA) was extracted from the target cells with an RNeasy Mini Kit and then reverse transcribed into cDNA using the QuantiTect Reverse Transcri EpCAM ption kit. All protocols were according to manufacturer’s instructions. qRT-PCR analysis of and β-actin (as an internal control) transcripts were performed using the Light Cycler 480 platform (Roche Diagnostics, Germany) with fluorescent Taqman methodology. PCR reactions were performed using the following conditions: 2 min at 50 °C and 2 min at 95 °C, followed by 45 cycles at 95 °C for 30 s and 60 °C for 30 s. Florescent detection was performed at 60 °C, and three replicates were carried out for each sample. Invitrogen (nvitrogen, USA) synthesized the primers and probe segments. The forward primer :5′-CTCGCGTTCGGGCTTCT-3′, the reverse primer: 5′- TGTAGTTTTCACAGACACATTCTTCCT-3′, and the probe [6FAM] ACGGCGACTTTTGCCGCAGCTTA-MRA were used for analysis of EpCAM expression. The forward primer: 5′-TGGCATTGCCGACAGGAT-3′, the reverse primer: 5′-CTCAGGAGGAGCAATGATCTTGAT-3′, and the probe [6FAM] -ATCACTGCCCTGGCACCCAGCATA-MRA were used for analysis of β-actin expression. All primers and probes were designed and synthesized by the Life Technology Corporation (Invitrogen, USA).
Gene expression levels were calculated with the following equations:
Detection of lymphocyte subgroups
Two sets of four-color florescent antibody, CD3/CD8/CD45/CD4 (BD Biosciences) and CD3/CD16+ CD56/CD45/CD19 (BD Biosciences), were added (20 μl each) into two separate flow cytometry tubes. The sample (50 μl whole blood each) was added to each tube, followed by incubation at room temperature (RT) under darkness for 15 min. After adding 0.45 ml erythrocytolysin (BD Biosciences), the solution was incubated for another 10 min. The solution was then centrifuged for 5 min at 1200 rpm. The supernatant was discarded and the pellet was washed twice with 2 ml PBS. After resuspension in 0.4 ml phosphate-buffered saline (PBS), the sample was loaded for flow cytometry analysis. Data analyses were performed with MultiSET software (BD Biosciences). Measurements included percentages of B cells (CD19+), T cells (CD3+), CD4+ T cells, CD8+ T cells and NK cells (CD16+CD56+) and the ratio of CD4+/CD8+ T cells.
Detection of CD4+CD25+Foxp3+ Tregs
After the addition of 20 μl anti-CD4-FITC/anti-CD25-APC (eBioscience) and the relevant isotype control antibody (IgG1Ƙ-FITC and IgG1Ƙ-APC, respectively; eBioscience) into two separate flow cytometry tubes, 100 μL whole blood sample was added, followed by incubation at 4 °C for 30 min in darkness. After the erythrocytolysis step (as above), each tube was supplemented with 1 ml permeabilization reagent and incubated at 4 °C for 60 min. After washing with PBS, 100 μl mouse serum was added to the solution and the mixture was incubated at RT under darkness for 15 min. Intracellular antibody 20 μl anti-Foxp3-PE, and isotype control IgG2a-K-PE (both from eBioscience), were each added, and the resulting solution was incubated at RT under darkness for another 30 min. After resuspension in PBS, the sample was loaded for flow cytometry analysis. Measurements included proportions of CD4+CD25+Foxp3+ T cells (Tregs) in total lymphocytes, CD8+ T cells, CD4+ T cells and CD3+ T cells.
Follow-up for HCC recurrence
All patients had postoperative follow-ups [
11]. Time to recurrence (TTR) was defined as the period from curative excision to diagnosis of HCC recurrence (including intrahepatic recurrence and extrahepatic metastasis) based on MRI and serum AFP levels [
12,
13]. Early recurrence was defined as recurrence within 12 months following excision [
14].
Statistical analysis
Prognostic cut-off values were determined using X-tile 3.6.1 software [
15]. All statistical analyses were performed using SPSS 17.0. Categorical data and measurement data were assessed with the
χ
2 test and the
t-test, respectively. Prognostic factors for early recurrence were evaluated with univariate analysis and multivariate COX regression analysis. The associations between TTR and the prognostic factors were assessed with Kaplan-Meier survival analysis, and the inter-curve differences were assessed with the log-rank test. P values <0.05 were considered statistically significant.
Discussion
Currently, although surgical resection has greatly improved survival rates among HCC patients, HCC remains one of the leading causes of malignancy-related mortality worldwide with a prognosis that is still far from satisfactory, mainly due to increasing post-operative recurrence [
16]. At present, predictions of recurrence are mainly based on imaging or biomarkers, which have limits to reflect the dynamic changes in tumor microenvironment. It was reported that predictions of recurrence and metastasis of HCC are influenced by characteristics of both tumor cells and the tumor immune microenvironment [
17]. In our previous studies, molecular markers expressed on circulating tumor cells were found to be closely associated with early diagnosis and early recurrence of HCC [
18]. Moreover, CD4
+CD25
+Foxp3
+Tregs are considered as suppressors in immune surveillance and anti-tumor immunity, which are also proved associated with HCC invasiveness [
19]. However, no previous publications have evaluated prognostic performance of circulating tumor cells and CD4
+CD25
+Foxp3
+Tregs. Here we first detected the combined effect of circulating tumor cells and its immune environment on hepatocellular carcinoma.
Based on the optimal prognostic cut-off values for EpCAM
mRNA+ CTC (2 − ΔΔCT) of 2.22, and Treg/CD4+ (%) of 5.07, as calculated using X-tile software, we found that the recurrence rate was elevated in the EpCAM
mRNA+ CTC (2 − ΔΔCT) ≥ 2.22 group (P = 0.001) and the Treg/CD4+ (%) ≥ 5.07 group (P = 0.0029). The vascular invasion rate was also significantly higher in the EpCAM
mRNA+ CTC ≥ 2.22 group (P = 0.027), suggesting the occurrence of tumor microenvironmental changes in early recurrent cases in addition to pathological changes.
With the expansion of the tumor microenvironment, tumor cells spread from the primary lesions, thereby forming circulating tumor cells (CTCs). Thousands of CTCs are generated each day, but not all CTCs can become “seeds” of metastatic recurrence. Besides environmental factors, the inherent characteristics of CTCs are also crucial for metastasis [
20]. In recent years, with the introduction of the “tumor stem cell” concept, tumor stem cells have been shown to exhibit stem cell-like features including high capacity for self-renewal, differentiation, and the generation of heterogeneous cells, as well as high resistance to chemotherapy, radiotherapy and cytotoxic agents, combined with high capacity for oncogenesis and tumor maintenance. There is sufficient evidence that a high ratio of tumor stem cell-like cells indicates a poor prognosis [
21]. Sun et al. reported that
EpCAM
mRNA+ CTCs retaining stem cell-like characteristics are “high-quality seeds” for metastasis, and that the level of
EpCAM
mRNA+ CTCs is an ideal predictor for postoperative early recurrence and prognosis of HCC [
22].
Tumor-related immune suppression is mediated mainly by increased TGF-β secretion or direct Treg cell infiltration [
23]. A recent study [
24] found an association between intratumoral or peripheral blood Tregs and tumor invasion. Tregs mediate tumor immune escape and promote tumor growth mainly by suppressing tumor immune effector cells (especially cytotoxic lymphocytes), or by inducing effector T cell tolerance to tumor antigens. The resulting imbalance between intratumoral Tregs and cytotoxic T cells was shown to be an effective prognostic predictor. In our study, a significant correlation was observed between the levels of
EpCAM
mRNA+ CTC and peripheral Treg/CD4
+, with an increasing trend (
P = 0.026). This result may supported that Tregs contributed as “soil” which may change the tumor microenvironment to help CTCs get out of immune clearance by cytotoxic T cells as well as colonization in HCC patients.
The results of univariate Cox analysis found that the significant prognostic factors for early recurrence included
EpCAM
mRNA+ CTC ≥ 2.22 (
P = 0.001) and Treg/CD4 + ≥ 5.07 (
P = 0.045). Further multivariate Cox analysis revealed
EpCAM
mRNA+ CTC ≥ 2.22 (
P = 0.003, HR = 6.668) to be a significant and independent prognostic biomarker for early recurrence, in accordance with the study by Sun et al., which reported
EpCAM
mRNA+ CTC ≥ 2 to be an independent predictor for early HCC recurrence (within 1 year following resection) [
13]. Survival curve analyses found that the early recurrence rates within the
EpCAM
mRNA+ CTC ≥ 2.22 group (12.5 % vs. 58.8 %,
P = 0.002, Fig.
3a) and Treg/CD4
+ ≥ 5.07 group (22.5 % vs. 55.6 %,
P = 0.038, Fig.
3b) were markedly elevated. Combining these two factors of “soil” and “seeds”, we found that the early recurrence rate in the group with combined high CTC and high Treg levels was significantly higher than in the combined low CTC and low Treg group (66.7 % vs. 10.3 %,
P < 0.001, Fig.
3c), while the recurrence rate within the combined high CTC and low Treg group was 46.4 % higher than for the combined low CTC and low Treg group (50.0 % vs. 10.3 %,
P = 0.004, Fig.
3c). These results also implied that elevated Tregs cells could cause immune suppression, and contribute CTCs escape from peripheral immune clearance. Consequently, the spread of CTCs lead to HCC metastasis and recurrence. However, the mechanisms of
EpCAM
mRNA+ CTC and Treg cells interaction remain unclear, warranting future larger clinical studies as well as further basic explorative research.
The limitations of the current study were a small cohort size, short follow-up time, and only patients with Hepatitis-B induced HCC and early stages (BCLC 0 and A) have been included in this study, which may results the clinical significance of Edmondson classification and AFP in HCC were not be observed. These limitations will be addressed in our next step clinical investigation.
Acknowledgments
We thank the Edanz Group China that made significant revision of the manuscript.