Molecular detection of epithelial-mesenchymal transition markers in circulating tumor cells from pancreatic cancer patients: Potential role in clinical practice

Abstract

AIM

To evaluate the clinical properties of three subpopulations of circulating tumor cells (CTCs) undergoing epithelial-mesenchymal transition (EMT) in pancreatic ductal adenocarcinoma (PDAC) patients.

METHODS

We identified CTCs for expression of the epithelial cell marker cytokeratin or epithelial cell adhesion molecule (EpCAM) (E-CTC), the mesenchymal cell markers vimentin and twist (M-CTC), or both (E/M-CTC) using the CanPatrol system. Between July 2014 and July 2016, 107 patients with PDAC were enrolled for CTC evaluation. CTC enumeration and classification were correlated with patient clinicopathological features and outcomes.

RESULTS

CTCs were detected in 78.5% of PDAC patients. The number of total CTCs ranged from 0 to 26 across all 107 patients, with a median value of six. CTC status correlated with lymph node metastasis, TNM stage, distant metastasis, blood lymphocyte counts, and neutrophil-to-lymphocyte ratio (NLR). Kaplan-Meier survival analysis showed that patients with ≥ 6 total CTCs had significantly decreased overall survival and progression-free survival compared with patients with < 6 total CTCs. The presence of M-CTCs was positively correlated with TNM stage (P < 0.01) and distant metastasis (P < 0.01). Additionally, lymphocyte counts and NLR in patients without CTCs were significantly different from those in patients testing positive for each CTC subpopulation (P < 0.01).

CONCLUSION

Classifying CTCs by EMT markers helps to identify the more aggressive CTC subpopulations and provides useful evidence for determining a suitable clinical approach.

Core tip: In the present study, circulating tumor cell (CTC) enumeration and classification in pancreatic ductal adenocarcinoma (PDAC) patients were examined using the CanPatrol system. We explored the relationship between CTC status and survival and prognosis in 107 PDAC patients in China. CTC status was correlated with lymph node metastasis, TNM stage, distant metastasis, blood lymphocyte counts, neutrophil-to-lymphocyte ratio, and patient prognosis. Our findings demonstrate that CTCs show promise as a prognostic biomarker and provide useful evidence for determining an appropriate clinical approach for pancreatic adenocarcinoma patients.

INTRODUCTION

Pancreatic ductal adenocarcinoma (PDAC), which is derived from the ductal epithelium, is the most common histological subtype of pancreatic malignancy, accounting for 90% of all cases[1,2] . It ranks fourth in cancer-related mortality. Because of its late presentation and propensity to invade adjacent organs and metastasize, PDAC remains one of the most lethal solid malignancies[3,4]. Endoscopic ultrasound (EUS) is the most sensitive nonoperative imaging test for the detection of benign or malignant pancreatic lesions, while fine needle aspiration (FNA) is a minimally invasive sampling technique that has proved to be a safe and accurate method of tissue acquisition. It has been demonstrated that the operating characteristics of EUS-FNA of solid pancreatic masses are: sensitivity 95%, specificity 92%, positive predictive value 98%, and negative predictive value 80%. The overall accuracy of EUS-FNA is 94.1%. Thus, EUS-FNA is the current gold standard technique for tissue acquisition in patients with unresectable pancreatic cancer[3,4]. However, EUS-FNA is costly and inconvenient, and is correlated with risk of complications, including pancreatitis and bowel perforations[5]. Computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used in tumor staging, but they show limited ability in detecting small-volume metastatic disease, leading to routine under-staging[6]. Thus, identification of a biomarker for early diagnosis and accurate staging at the time of disease presentation can better inform first-line therapy.

Circulating tumor cells (CTCs) are disseminated cancer cells that escape from the primary lesion or from metastatic foci and enter the bloodstream, exemplifying the switch from localized to systemic disease[7,8]. CTCs are thought to represent the intravasated tumor stage between the formation of an invasive cancer and its eventual distant metastasis[9,10]. CTCs have been examined in numerous cancer types, such as prostate, colorectal, breast, gastric, and lung cancers for guiding clinical management, evaluating curative efficacy, predicting prognosis, and monitoring tumor recurrence[11-14] . In PDAC, CTCs have also been explored. Initial studies have confirmed the presence of CTCs in patients with PDAC[15,16]. A study reported by Liu et al[17] classified cells as triploid, tetraploid, and multiploid CTCs based on chromosome 8 copy number, and found that both total CTC number and CTC subtype number are useful in PDAC diagnosis. Additionally, CTC positivity was also associated with poor tumor differentiation, shorter overall survival (OS), and increased metastasis in PDAC[18,19]. These data provide support for further exploration of CTC counts as indicators of PDAC progression. However, to date, CTCs are not as well established as a biomarker as compared with other solid cancers[17,20]. One reason may be the low sensitivity of previous technology in detecting CTCs from peripheral blood in PDAC.

Early and widespread metastasis remains a major challenge in the effective treatment of PDAC. Epithelial-mesenchymal transition (EMT), which is indispensable for PDAC metastasis, is a multi-step process involving many molecular and cellular changes, including the downregulation of epithelial proteins and the upregulation of mesenchymal proteins, endowing the cells with increased motility and invasiveness[21-23]. Recent studies have revealed that the EMT phenotype in CTCs may facilitate tumor metastasis. Characterizing the epithelial vs mesenchymal phenotypes of CTCs may be helpful in identifying the most aggressive CTC subpopulations and determining an appropriate therapy[24-26]. Recent work described a new technique called CanPatrol CTC enrichment, which evaluates CTC classification based on the EMT phenotype. Using this technique, CTCs are classified into three subpopulations based on the expression of epithelial (E-CTCs), biphenotypic epithelial/mesenchymal (E/M-CTCs), and mesenchymal markers (M-CTCs).

In the present study, CTCs from 107 PDAC patients were isolated and their EMT phenotype was characterized using the CanPatrol CTC enrichment technique. In addition, the relationships between clinicopathological parameters and the relative abundance of the three circulating EMT-CTC subpopulations were evaluated.

MATERIALS AND METHODS

Patients and clinical samples

From July 2014 and July 2016, 107 patients with newly diagnosed PDAC at Sun Yat-sen Memorial Hospital of Sun Yat-sen University were enrolled in the study. Informed consent was obtained from all patients before sample collection. All patients selected met the following criteria: pathological diagnoses were clear and definite; and no preoperative chemotherapy or radiotherapy had been administered. Follow-up was carried out completely and OS was defined as the time interval between the date of surgery and the date of death or the end of follow-up. This retrospective study was conducted in compliance with the institutional policy to protect private patient information and was approved by the institutional review board of Sun Yat-sen Memorial Hospital.

Isolation and enumeration of CTCs using CanPatrol system

CTC isolation was conducted using the CanPatrol CTC filtration system. For PDAC patients, 5-mL peripheral blood samples were collected in EDTA tubes by venipuncture and filtered with a calibrated membrane with 8-μm diameter pores. The filtration system included the membrane (Sur Exam, Guangzhou, China), a manifold vacuum plate with valve settings (SurExam, Guangzhou, China), an E-Z96 vacuum manifold (Omega, Norcrss, GA, United States), and a vacuum pump (Auto Science, Tianjin, China). Prior to filtration, red blood cell lysis was applied to remove erythrocytes, then PBS with 4% formaldehyde was used to resuspend the cells for 5 min. The cell suspension was transferred to a filtration tube and pumped with at least 0.08 MPa.

CTC subpopulations were identified using a multiplex RNA-ISH assay. Four epithelial biomarkers [epithelial cell adhesion molecule (EpCAM) and cytokeratin (CK) 8/18/19], two mesenchymal biomarkers (vimentin and twist), and a leukocyte biomarker, leukocyte common antigen (CD45), were applied to capture and characterize the CTCs. The hybridization assay was performed as previously described[22]. The assay was performed in a 24-well plate (Corning, NY, United States), and the cells on the membrane were treated with protease (Qiagen, Hilden, Germany) and subsequently subjected to serial hybridization reactions with capture probes that were specific for the intended examined genes (Supplementary Table 1). We applied 4′,6-diamindino-2-phenylindole (DAPI) to stain the nuclei, and the cells were analyzed with a fluorescence microscope.

Table 1.

Baseline circulating tumor cell characteristics of treatment-naïve patients with advanced pancreatic ductal adenocarcinoma according to circulating tumor cell status

Group	Patients n (%)
Number of patients with no CTC	23/107 (21.5)
Number of patients with ≥ 1 CTC	84/107 (78.5)
Number of patients with ≥ 6 CTC	55/107 (51.4)
Number of patients with E-CTCs	65/107(60.7)
Number of patients with E/M-CTCs	39/107 (36.4)
Number of patients with M-CTCs	49/107 (45.8)
CTC dynamic range
Total CTC	0-26
Median	6
E-CTC	1-11
E/M-CTC	0-26
M-CTC	0-9

CTC: Circulating tumor cells; E-CTC: Epithelial circulating tumor cells; M-CTC: Mesenchymal circulating tumor cells.

Statistical analysis

All statistical analyses were performed using SPSS Statistics 22.0 and GraphPad Prism 7.0. The results are presented as percentages for categorical variables. The Mann-Whitney U test was used to assess the differences between two groups because the data were not normally distributed, and the Kruskal-Wallis H test was used for multi-group analysis. Differences in patient survival were assessed using the Kaplan-Meier method and analyzed using the log-rank test in a univariate analysis. P-values less than 0.05 were considered statistically significant. Cox regression analyses were performed to assess the relative risk for each factor. A receiver operating characteristic (ROC) curve was established to evaluate the diagnostic value of CTCs. The area under the curve (AUC) was used to assess the predictive power. A two-tailed P-value of < 0.05 was considered statistically significant (^aP < 0.05, ^bP < 0.01).

RESULTS

Detection of CTCs in the peripheral blood of patients with PDAC

CTCs from 107 PDAC patients were identified using the CanPatrol system. As shown in Figure 1, epithelial CTCs showed red fluorescence (Figure 1A), while mesenchymal CTCs exhibited green fluorescence (Figure 1B), corresponding to their specific genes (i.e., EpCAM or CK, and vimentin and twist), respectively. Additionally, a third hybrid population of CTCs expressing both epithelial- and mesenchymal-specific genes was also observed (Figure 1C). Of the total population, 84 (78.5%) patients had positive CTC counts at baseline. The number of total CTCs ranged from 0 to 26 across all 107 patients, with a median value of six. Overall, ≥6 total CTC(s) were present in 51.4% of samples. The positive rates of epithelial, hybrid, and mesenchymal CTCs were 60.7%, 36.4%, and 45.8%, respectively (Table 1).

Figure 1.

Circulating tumor cell subpopulations classified by categorical markers. (Red dots: epithelial biomarker expression; green dots: mesenchymal biomarker expression). A: Epithelial circulating tumor cells (E-CTCs); B: Mesenchymal CTCs (M-CTC); C: Biophenotypic epithelial/mesenchymal CTCs (E/M-CTCs).

Correlation of CTCs with clinicopathological features

As shown in Table 2, 107 PDAC patients were included in the analysis. The presence of CTCs was positively correlated with TNM stage (P < 0.001), lymph node metastasis (P = 0.016), and distant metastasis (P < 0.001) (Figure 2A-C). The other clinicopathological features showed no statistical relationship with CTC status. Univariate analysis of OS revealed that lymph node metastasis (P = 0.007), TNM stage (P < 0.001), distant metastasis (P < 0.001), and ≥ 6 total CTCs (P < 0.001) were prognostic indicators. Multivariate analysis revealed that lymph node metastasis (P = 0.011), TNM stage (P < 0.001), distant metastasis (P < 0.001), and ≥ 6 total CTCs (P < 0.001) were all independent prognostic indicators for OS of patients with PDAC (Table 3). We constructed a ROC curve analysis (Figure 2D) to distinguish metastatic PDAC patients from those without metastasis; the area under the ROC curve (AUROC) was 0.8 (P < 0.0001) with an optimal cut-off point of 7 (sensitivity = 0.893, specificity = 0.633). For comparison, CA-199 at the optimum cut-off of 884 U/mL distinguished metastatic PDAC patients from those without metastasis, with a sensitivity of 0.536, specificity of 0.785, and AUROC of 0.637. Kaplan-Meier survival analysis showed that patients with ≥ 6 total CTCs had significantly decreased OS and progression-free survival (PFS) as compared with patients with < 6 total CTCs (OS: median 11 mo vs 18 mo; HR = 0.504; 95%CI: 0.330-0.768; P < 0.001. PFS: median 8 mo vs 13 mo; HR = 0.520; 95%CI: 0.342-0.791) (Figure 2E and F).

Table 2.

Correlation between total circulating tumor cell status and clinicopathological factors of patients with pancreatic cancer

	Total CTC-negative patients (%)	Total CTC-positive patients (%)	P-value
Age, yr (median: 63, IQR: 52-76)
< 60	8/23 (34.8)	32/84 (38.1)	0.769
≥ 60	15/23 (65.2)	52/84 (61.9)
Gender
Male	16/23 (69.6)	47/84 (56.0)	0.313
Female	7/23 (30.4)	37/84 (44.0)
Ethnic group
Han ethnic group	14/23 (60.9)	59/84 (70.2)	0.346
Zhuang ethnic group	5/23 (21.7)	16/84 (19.1)
Li ethnic group	4/23 (17.4)	9/84 (10.7)
Differentiation
Well	3/23 (13.0)	7/84 (8.3)	0.435
Moderate	13/23 (56.5)	54/84 (64.3)
Poor	7/23 (30.5)	23/84 (27.4)
TNM stage
I	6/23 (26.1)	4/84 (4.8)	< 0.001
II	7/23 (30.4)	13/84 (15.5)
III	10/23 (43.5)	39/84 (46.4)
IV	0/23 (0)	28/84 (33.3)
Lymph node metastasis
Negative	13/23 (56.5)	34/84 (40.5)	0.023
Positive	10/23 (43.5)	50/84 (59.5)
Neural invasion
Negative	10/23 (43.5)	29/84 (34.5)	0.247
Positive	13/23 (56.5)	55/84 (65.5)
Distant metastasis
Negative	23/23 (100)	56/84 (66.7)	< 0.001
Positive	0/23 (0)	28/84 (33.3)

CTC: Circulating tumor cell; IQR: Interquartile range.

Figure 2.

The presence of circulating tumor cells was correlated with a poor patient prognosis. A: Circulating tumor cell (CTC) count by AJCC stage of disease. B: CTC status in the lymph node invasion-negative group and invasion-positive group. C: CTC status in the metastasis-negative group and metastasis-positive group. D: Receiver operating characteristic curve analysis showing the performance of CTCs in predicting metastatic disease. E: Kaplan-Meier survival curves showing different overall survival in groups of pancreatic ductal adenocarcinoma (PDAC) patients with ≥ 6 or < 6 total CTCs. F: Kaplan-Meier survival curves showing different progression-free survival in groups of PDAC patients with ≥ 6 or < 6 total CTCs. G: White blood cell, neutrophil, lymphocyte, and monocyte counts in CTC-positive and CTC-negative patients. H: Neutrophil-to-lymphocyte ratio in CTC-positive and CTC-negative patients. ^aP < 0.05; ^bP < 0.01. CTC: Circulating tumor cells.

Table 3.

Univariate and multivariate Cox regression analyses of prognostic factors for overall survival in pancreatic cancer

Predictor	Univariate analysis			Multivariate analysis
	HR	95%CI	P-value	HR	95%CI	P-value
Age, < 60 vs ≥ 60	0.818	0.798-1.017	0.792
Gender (female vs male)	0.928	0.781-1.130	0.952
Differentiation (well vs moderate vs poor)	1.045	0.873-1.186	0.134
Ethnic group (Han/Zhuang/Li)	0.917	0.834-1.048	0.866
TNM stage (I/II vs III/IV)	1.452	1.215-1.475	< 0.001	1.148	1.031-1.268	0.011
Lymph node metastasis (negative vs positive)	1.287	1.048-1.364	0.007	1.198	1.036-1.380	0.017
Neural invasion (negative vs positive)	1.008	0.781-1.155	0.949
Distant metastasis (negative vs positive)	1.426	1.236-1.710	< 0.001	1.521	1.256-1.887	< 0.001
CTC, < 6 vs ≥ 6	1.849	1.717-2.238	< 0.001	1.851	1.637-2.173	< 0.001

CTC: Circulating tumor cells.

We quantified the immune cells in the peripheral blood of patients with PDAC and analyzed the associations between immune cell parameters and the presence of CTCs (Figure 2G and H). There were no significant differences between the CTC-negative and CTC-positive patient groups with respect to total white blood cell (WBC), neutrophil, or monocyte counts. However, there was a significant difference in lymphocyte count and the neutrophil-to-lymphocyte ratio (NLR) between the CTC-positive and CTC-negative patient groups (P < 0.001).

Association between CTC-EMT subpopulations and clinicopathological features

The associations between the presence of CTC subpopulations of each EMT phenotype and clinicopathological features were analyzed. Table 4 shows that E-CTCs were present in 65 (60.7%) patients, while E/M-CTCs and M-CTCs were present in 39 (36.4%) and 49 (45.8%) patients, respectively. The presence of M-CTCs was positively correlated with TNM stage (P < 0.01) and distant metastasis (P < 0.01). As shown in Figure 3A and B, M-CTCs were present in significantly more patients with distant metastasis than in those without. Regarding TNM stage, all patients with stage IV PDAC were CTC-positive and M-CTCs were more common in patients with stages III and IV disease.

Table 4.

Correlation between total circulating tumor cell status and clinicopathological factors of patients with pancreatic cancer

		Epithelia CTC (%)			Hybrid CTC (%)			Mesenchymal CTC (%)
		Positive	Negative	P-value	Positive	Negative	P-value	Positive	Negative	P-value
Age (yr)	< 60	24/65	16/42	> 0.9	12/39	28/68	0.18	21/49	19/58	0.19
		(36.9)	(38.1)		(30.8)	(41.2)		(42.9)	(32.8)
	≥ 60	41/65	26/42		27/39	40/68		28/49	39/58
		(63.1)	(61.9)		(69.2)	(58.8)		(57.1)	(67.2)
Gender	Male	37/65	26/42	0.56	24/39	39/68	0.56	28/49	35/58	0.77
		(56.9)	(61.9)		(61.5)	(57.4)		(57.1)	(60.3)
	Female	28/65	16/42		15/39	29/68		21/49	23/58
		(43.1)	(38.1)		(38.5)	(42.6)		(42.9)	(39.7)
Differentiation	Well	6/65	4/42	0.21	4/39	6/68	0.97	5/49	5/58	0.84
		(9.2)	(9.5)		(10.3)	(8.8)		(8.1)	(9.3)
	Moderate	38/65	29/42		24/39	43/68		31/49	36/58
		(58.5)	(69.1)		(61.5)	(63.2)		(64.9)	(60.5)
	Poor	21/65	9/42		11/39	19/68		13/49	17/58
		(32.3)	(21.4)		(28.2)	(28)		(27)	(30.2)
TNM stage	I	4/65	6/42	0.29	3/39	7/68	0.59	1/49	9/58	< 0.01
		(6.1)	(14.3)		(7.7)	(10.3)		(2)	(15.5)
	II	13/65	7/42		9/39	11/68		5/49	15/58
		(20)	(16.7)		(23.1)	(16.2)		(10.2)	(25.9)
	III	30/65	19/42		17/39	32/68		22/49	27/58
		(46.2)	(45.2)		(43.6)	(47.1)		(44.9)	(46.6)
	IV	18/65	10/42		10/39	18/68		21/49	7/58
		(27.7)	(23.8)		(25.6)	(26.4)		(42.9)	(12)
Lymph node metastasis	Negative	25/65	22/42	0.08	18/39	29/68	0.78	24/49(49.0)	23/58	0.26
		(38.5)	(52.4)		(46.2)	(42.6)			(39.7)
	Positive	40/65	20/42		21/39	39/68		25/49	35/58
		(61.5)	(47.6)		(53.8)	(57.4)		(51)	(60.3)
Neural invasion	Negative	22/65	17/42	0.38	18/39	21/68	0.78	17/49	22/58	0.77
		(33.8)	(40.5)		(46.2)	(42.6)		(34.7)	(37.9)
	Positive	43/65	25/42		21/39	39/68		32/49	36/58
		(66.2)	(59.5)		(53.8)	(57.4)		(65.3)	(62.1)
Distant metastasis	Negative	46/65	33/42	0.25	27/39	52/68	0.26	25/49	54/58	< 0.01
		(70.8)	(78.6)		(69.2)	(76.5)		(51)	(93.1)
	Positive	19/65	9/42		12/39	16/68		24/49	4/58
		(29.2)	(21.4)		(30.8)	(23.5)		(49)	(6.9)
Ethnic group	Li ethnic group	8/65	5/42	0.98	5/39	8/68	0.52	5/49	8/58	0.24
		(12.3)	(11.9)		(12.8)	(11.8)		(10.2)	(13.8)
	Han ethnic group	44/65	29/42		25/39	48/68		32/49	41/58
		(67.7)	(69.1)		(64.1)	(70.6)		(65.3)	(70.7)
	Zhuang ethnic group	13/65	8/42		9/39	12/68		12/49	9/58
		(20)	(19)		(23.1)	(17.6)		(24.5)	(15.5)

CTC: Circulating tumor cells.

Figure 3.

Correlation between circulating tumor cell-epithelial-to-mesenchymal transition subpopulations and clinicopathological characteristics. A: Distribution of circulating tumor cell (CTC) subpopulations in patients at different AJCC stages of pancreatic ductal adenocarcinoma (PDAC). B: Distribution of CTC subpopulations in patients with or without metastatic disease. C: White blood cell counts in patients without CTCs and positive for epithelial (E)-CTCs, mesenchymal (M)-CTCs, or E/M-CTCs. D: Neutrophil counts in patients without CTCs and positive for E-CTCs, M-CTCs, or E/M-CTCs. E: Lymphocyte counts in patients without CTCs and positive for E-CTCs, M-CTCs, or E/M-CTCs. F: Monocyte counts in patients without CTCs and positive for E-CTCs, M-CTCs, or E/M-CTCs. G: Neutrophil-to-lymphocyte ratio in patients without CTCs and positive for E-CTCs, M-CTCs, or E/M-CTCs. ^bP < 0.01. CTC: Circulating tumor cells; E-CTC: Epithelial circulating tumor cells; M-CTC: Mesenchymal circulating tumor cells.

We analyzed the correlation of different CTC subpopulations with the EMT phenotype and WBC count. There were no significant differences between different subpopulations with respect to total WBC, neutrophil, or monocyte counts (Figure 3C, D, and F). Figure 3E and G demonstrates that patients with any CTC subpopulations had significantly lower lymphocyte counts and higher NLRs than patients without CTCs (P < 0.001).

DISCUSSION

PDAC remains one of the most devastating diseases because of its late presentation and resistance to systemic therapy. Cross-sectional imaging alone often results in under-staging of PDAC patients[23,24,27]. Many studies have indicated that a “surgery first” paradigm for borderline resectable, and even early-stage, patients does not lead to a survival benefit and may in fact impair survival because of high recurrence and metastasis rates[27]. Therefore, there is an urgent need for novel biomarkers to complement cross-sectional imaging, especially for the identification of patients likely to benefit from non-surgical treatments first.

In recent years, the detection and characterization of CTCs have received tremendous attention because of the minimally invasive approaches applied to obtain sequential blood specimens from cancer patients and their potential clinical implications. It is anticipated that quantification and molecular subtyping of CTCs could be adopted for monitoring tumor burden and metastasis of PDAC. To date, published CTC data for PDAC mostly rely on small patient cohorts at different disease stages and use various CTC techniques, showing contradictory results. A large cohort of 154 patients had discovered CTCs using RT-PCR for CK20, obtaining a CTC rate of 34%. This study demonstrated that CTCs had a significantly negative prognostic impact on patient survival[28]. In 2013, CTC detection rates and prognostic value were studied in a prospective cohort of locally advanced pancreatic carcinoma patients. This study used the Cellsearch technique to detect CTCs and demonstrated that CTC positivity was associated with poor tumor differentiation and shorter OS[19]. Another study used the microfluidic Nano Velcro assay and identified CTCs in 78% of 126 PDAC patients. The most significant finding of their study was the predictive ability of CTCs for occult metastatic disease in the preoperative setting[29]. Additionally, a recent study also detected CTCs through immunofluorescence staining for CK 19 or EpCAM in portal vein blood from PDAC patients. Their results demonstrated that CTC counts in portal vein blood were highly associated with intrahepatic metastases and poorer prognosis[30]. In our study, a novel technology applying a combination of epithelial and mesenchymal markers was used to isolate CTCs in peripheral blood from 107 patients with PDAC. We detected CTCs in 84 out of 107 (78.5%) patients. Our results demonstrated that positive CTC status was significantly correlated with lymph node metastasis, distant metastasis, and late TNM stage. Meanwhile, CTCs were associated with a significantly higher risk of death independent of other clinical risk factors.

Although millions of disseminated tumor cells are shed from primary lesions into the peripheral blood during metastasis, they very rarely survive to form new lesions[31]. A recent study demonstrated that CTC status is influenced both by the type of primary tumor and by the number of immune cells in the bloodstream[32]. To study this further, we evaluated the correlation between CTCs and immune cell counts. The inflammatory response is correlated with the progression of various tumors, including lung, colorectal, and pancreatic cancers[33-36]. Chronic pancreatitis is one of the risk factors for pancreatic cancer[33-36]. Some studies demonstrated that a high NLR, which is a circulating systemic inflammation marker, is a poor prognostic factor in PDAC[37]. Our results demonstrated that lymphocyte count was reduced while NLR was significantly increased in the CTC-positive group compared with the negative group. Furthermore, there was a negative correlation between CTCs and lymphocytes and a positive correlation between CTCs and NLR. These results indicated that lymphocytes may have an important role in the clearance of CTCs.

In previous studies, CTCs were detected by examining the expression of epithelial-specific markers, such as EpCAM and CK. Thus far, the CellSearch system is the only Food and Drug Administration-approved CTC enumeration assay, which defines a CTC according to its size, positivity for EpCAM and CK, and negative CD45 expression[38]. However, multiple studies have reported that phenotypic alterations, such as the upregulation of mesenchymal markers and the loss of epithelial markers, are common in CTCs in general, suggesting that methods that rely on the expression of epithelial markers most likely overlook CTCs undergoing EMT[39,40]. Several studies exploring the EMT phenomenon of CTCs have showed that mesenchymal CTCs were associated with tumor progression and therapy resistance in some cancer types[41-43] . However, to date, there is no research describing the EMT phenomenon in CTCs in PDAC. In the present study, we detected and characterized CTCs from patients with PDAC using the cell size- and phenotype-based CanPatrol technique, which has been reported to detect CTCs with high efficiency. We identified CTCs with different EMT phenotypes in 84 patients. Furthermore, it was discovered that M-CTCs were most common in patients with advanced cancer. However, circulating tumor microemboli were not detected in the present study. Our results support the notion of a role for EMT in tumor metastasis and indicate that the role of M-CTCs might be more essential than the other subpopulations in terms of the risk of disease progression. Moreover, we also observed that M-CTCs were negatively correlated with lymphocyte counts and that patients who were positive for M-CTC had significantly lower circulating lymphocyte counts than the CTC-negative group or the group lacking M-CTCs.

There is no doubt that liquid biopsy is superior to conventional methods for dynamically monitoring cancer status, and the detection of CTCs is likely to gain popularity in the clinic. To our knowledge, here we report for the first time the prognostic utility of CTCs, as detected by the CanPatrol CTC enrichment technique, in patients with PDAC. Our data support the potential clinical value of PDAC CTCs. Both total CTC number and CTC EMT phenotype may act as potential biomarkers for PDAC prognosis. However, our study suffered from a small sample size, and the results should be interpreted with caution. Large well-designed clinical trials are required to elucidate the potential value of EMT markers in CTCs.

ARTICLE HIGHLIGHTS

Research background

Circulating tumor cells (CTCs) have been demonstrated to be a prognostic indicator in numerous cancers. However, in pancreatic ductal adenocarcinoma (PDAC), CTCs remain to be studied. Here, we report for the first time the prognostic utility of CTCs, as detected by CanPatrol CTC enrichment technique, in patients with PDAC. Our data support the potential clinical value of PDAC CTCs. Both total CTC number and CTC epithelial-to-mesenchymal transition (EMT) phenotype may act as potential biomarkers for PDAC prognosis.

Research motivation

In the present study, we explored the relationships between clinicopathological parameters and the relative abundance of three circulating EMT-CTC subpopulations. We found that CTC status correlated with lymph node metastasis, TNM stage, distant metastasis, blood lymphocyte counts, and the neutrophil-to-lymphocyte ratio (NLR). Kaplan-Meier survival analysis showed that patients with ≥ 6 total CTCs had significantly decreased OS and PFS compared to patients with < 6 total CTCs. The presence of M-CTCs was positively correlated with TNM stage and distant metastasis. Additionally, lymphocyte counts and NLR in patients without CTCs were significantly different from those in patients testing positive for each CTC subpopulation. Our data support the potential clinical value of PDAC CTCs. Furthermore, our data also provide support for further large well-designed clinical trials to explore CTC counts as indicators of PDAC progression.

Research objectives

The objective of this research was to explore the relationships between clinicopathological parameters and the relative abundance of the three circulating EMT-CTC subpopulations in PDAC. This research demonstrated that positive CTC status was significantly correlated with lymph node metastasis, distant metastasis, late TNM stage, and poor patient prognosis. Meanwhile, M-CTCs were most common in patients with advanced cancer. These results demonstrated that classifying CTCs by EMT markers helps to identify the more aggressive CTC subpopulations and provides useful evidence for determining a suitable clinical approach.

Research Methods

This research utilized the cell size- and phenotype-based CanPatrol CTC filtration system to isolate CTCs. CTC subpopulations were identified using a multiplex RNA-ISH assay. Four epithelial biomarkers (epithelial cell adhesion molecule and cytokeratin 8/18/19), two mesenchymal biomarkers (vimentin and twist), and a leukocyte biomarker, CD45, were applied to capture and characterize the CTCs.

Research results

This research indicated that the presence of CTCs was significantly associated with PDAC poor prognosis. Moreover, M-CTCs were most common in patients with advanced cancer. These results demonstrate that CTCs are promising biomarker for PDAC prognosis and identification of EMT markers in CTCs provide more information on tumor progression.

Research conclusions

In the present study, a novel technology called CanPatrol CTC filtration system applying a combination of epithelial and mesenchymal markers was used to detect CTCs in peripheral blood from 107 patients with PDAC. We found that CTC positivity was correlated with clinicopathologic variables and outcomes. Meanwhile, the presence M-CTCs was associated with advanced stage and distant metastasis. These results demonstrate that CTC enumeration and classification show promise as a prognostic biomarker and may provide useful evidence for determining a suitable clinical approach.

Research perspectives

This research supports the potential clinical value of PDAC CTCs. Both total CTC number and CTC EMT phenotype may act as potential biomarkers for PDAC prognosis. However, our study suffered from a small sample size, and the results should be interpreted with caution. Large well-designed clinical trials are required to elucidate the potential value of EMT markers in CTCs.