Peripheral blood monocytes predict clinical prognosis and support tumor invasiveness through NF-κB-dependent upregulation of Snail in pancreatic cancer

Introduction

Pancreatic ductal adenocarcinoma (PDAC), often called pancreatic cancer (PC), is the most lethal solid tumor with a 5-year survival rate of 10% and a median survival time of only 6 months in the United States (1). PC has been ranked the 7th and 11th most common cancer in China for males and females, respectively, and the 6th leading cause of cancer-related deaths (2). Of great concern is that the incidence and mortality of PC are continuing to increase due to changes in dietary composition and habits, with a diet high in fat and meat and low in vegetables and folate (3). Therefore, there are unquestionably urgent, and unmet medical needs to further improve our understanding of tumor biology, identify new biomarkers, and develop novel therapeutic targets for improving the treatment of PC.

The tissue of PC is characterized by a uniquely dense stroma that contributes to the tumor development and chemoresistance (4), and within the tumor stroma, abundant immune cells such as monocytes/macrophages, lymphocytes and fibroblasts are present (5). Recently, increasing evidence has demonstrated that a low lymphocyte-to-monocyte ratio (LMR) or high level of circulating monocytes exert an adverse prognostic and therapeutic effect on PC (6,7). Monocytes are produced and stored in the bone marrow and are recruited to the tumor site by different chemokines produced by cancer or stromal cells (8). Various studies have shown that monocytes infiltrated in tumor niches could be polarized as a new immunosuppressive subpopulation of cells termed monocytic-myeloid derived suppressor or tumor-associated macrophages (TAMs), both of which have been shown to play a pivotal role in the progression of PC (9,10). However, the direct implication of monocytes on PC cells is not clearly understood.

This study found that high monocyte count was closely associated with lymph node metastasis and the short survival of patients with PC. To determine how monocytes promote PC progression, we cocultured monocytic cell line THP-1 with PC cells. The results showed that THP-1 monocytes could promote the migration and invasion of PC cells, the mechanism of which was THP-1 monocytes mediated epithelial-mesenchymal transition (EMT) in cancer cells via upregulating Snail expression. In summary, we may provide a new possibility for the link between monocyte and PC biology. We present the following article in accordance with the MDAR reporting checklist (available at https://dx.doi.org/10.21037/tcr-21-980).

Methods

Cell cultures

Human PC cells lines PANC-1 and BxPC-3 were purchased from the American Type Culture Collection (ATCC, Manassas, VA, USA), while monocytoid THP-1 was obtained from the Cell Bank at the China Academy of Science (Shanghai, China). All cells were maintained in a humidified atmosphere of 5% CO₂ at 37 °C in Roswell Park Memorial Institute (RPMI, Buffalo, NY, USA) 1,640 media supplemented with 10% fetal bovine serum (FBS; Biological Industries, Beit Haemek, Israel). For coculture experiment, 1×10⁵ PC cells (PANC-1 and BxPC-3) in 2 mL medium were seeded into a 6-plate well, and 2×10⁵ THP-1 monocytes in 1.5 mL medium were seeded into a Transwell insert (0.4 µm, Corning Costar, Lowell, MA, USA), which was placed into the well with PC cells. After cocultured for 72 h, PC cells were trypsinized with trypsin-EDTA, washed and resuspended in complete culture medium for further experiments. The nuclear factor-κB (NF-κB) inhibitor, BAY11-7082, was purchased from the Beyotime Institute of Biotechnology (Shanghai, China), and PC cells were pretreated for 2 h with the concentration of 10 µmol/L before proceeding to the next steps.

Patients and participants

This retrospectives study was approved by the Ethics Committee of Sun Yat-sen Memorial Hospital, Sun Yat-sen University (Guangzhou, China) and individual consent for this retrospective analysis was waived. From September 2004 to December 2011, the data of 70 PC patients who underwent pancreatic resections were retrieved, and their demographic data, serum tumor marker, pathologic features of the tumor, monocyte count, and survival time were recorded for statistical analysis. All blood tests were performed preoperatively.

Migration and invasion assays

Migration and invasion assays were performed using the PANC-1 and BxPC-3 cells in 24-well plates using polycarbonate membrane Transwell inserts (8 µm, Corning Costar, Lowell, MA, USA) with and without Matrigel (Becton, Dickinson, and Co. Biosciences, Franklin Lakes, NJ, USA), respectively. Also, 2×10⁴ cells/well of each cell line were resuspended in 150 µL of serum-free culture medium and placed in the upper chamber of the Transwell insert. Then, the inserts were placed in a 24-well culture dish filled with 500 µL of the standard medium of 5% FBS, which was used as a chemoattractant. Cells were allowed to progress at 37 °C in a humidified 5% CO₂ environment for 15 and 36 h for migration and invasion assays. The non-migrated cells were carefully removed from the upper surface of the Transwell membrane using a cotton swab; then the penetrating cells were fixed with 4% paraformaldehyde and stained with 0.05% crystal violet. The stained cells were quantified in 5 random fields under a microscope (Nikon, Tokyo, Japan) (100× magnification).

Western blotting

Total cell lysates were harvested with protease inhibitors in radioimmunoprecipitation assay (RIPA) buffer (Beyotime, Shanghai, China). Equal amounts of protein lysates were separated in 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) by electrophoresis and transferred to polyvinylidene fluoride (PVDF) membranes by electroblotting. Sequentially, the membranes were incubated with different primary antibodies and horseradish peroxidase (HRP)-conjugated secondary antibody. The protein bands were detected by enhanced chemiluminescence (ECL). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as the loading control. The primary antibodies were used as follows: anti-E-cadherin (1:1,000, Cell Signaling Technology, Danvers, MA, USA); anti-vimentin (1:1,000, Cell Signaling Technology, Danvers, MA, USA); anti-Snail (1:1,000, Santa Cruz Biotechnology, Santa Cruz, CA, USA); anti-NF-κB (p65) (1:1,000, Cell Signaling Technology, Danvers, MA, USA), and anti-GAPDH (1:1,000, Cell Signaling Technology, Danvers, MA, USA).

Quantitative real-time polymerase chain reaction (qRT-PCR)

Total RNA was extracted from THP-1 monocytes by Trizol reagent (Invitrogen, Carlsbad, CA, USA), and complementary DNA (cDNA) was synthesized with a reverse transcription system kit (Takara, Dalian, China). qRT-PCR was performed on LightCycler480 Realtime PCR System (Roche, Basel, Switzerland). All primers used for qRT-PCR are listed in Table S1.

Immunohistochemistry and evaluation

As previously described, formalin-fixed, paraffin-embedded PC tissues were cut into 3 µm sections for histological analysis (11). Briefly, the sections were deparaffinized in xylene, rehydrated with graded ethanol, and blocked endogenous peroxidase activity by incubating the sections in 0.3% H₂O₂. After blocking nonspecific binding, the sections were incubated with a primary antibody directed against Snail (1:200, Santa Cruz Biotechnology, Dallas, TX, USA) overnight at 4 °C. Then, the sections were incubated with secondary antibody conjugated with HRP for 1 h at room temperature. After washing with Tris-buffered saline solution, the sections were incubated in diaminobenzidine solution for 5 min and counterstained with hematoxylin for 1 min. The intensity of immunostaining was evaluated and scored as described previously (12) by 2 independent observers who were blinded to the participants’ clinical features. The scoring standard was as follows: 0, no positive cells detectable; 1, very few positive cells (<5%) showing weak light-brown staining; 2, a few positive cells (<10%) showing weak to medium brown staining; 3, a few positive cells (<10%) showing medium to dark brown staining; 4, a large number of positive cells (>10%) showing medium to dark brown staining; 5, a large number of positive cells (>20%) exhibiting medium to dark brown staining. The expression level of Snail was defined as low with a score of 0–2 and 3–5 as high, respectively.

Statistical analysis

Participant characteristics were presented as median (range), and the participant number of each pathological factor was listed. The optimal cutoff value of peripheral blood monocyte count was determined by performing a receiver operating characteristic (ROC) curve analysis. The participants were classified into a high and low monocyte group based on the obtained optimal threshold value. The chi-square test was used to assess the difference between the peripheral blood monocyte count and clinicopathological characteristics. The Kaplan-Meier method was used to evaluate the event-time distribution of 5-year overall survival, and the log-rank test was used to estimate significance. The experimental data are presented as the mean ± SD. The student’s t-test was used to analyze the statistical significance between 2 groups, and a one-way analysis of variance (ANOVA) test was used for multiple comparisons. The correlation of peripheral blood monocyte count with Snail expression level [immunohistochemical (IHC) staining] was analyzed using the Spearman rank correlation coefficient. All the statistical analyses were 2-sided, and a P value less than 0.05 was considered statistically significant. All statistical analyses were performed with the software SPSS 19.0 (IBM Corp., Armonk, NY, USA).

The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

Results

Participant characteristics

Of the 70 enrolled PC patients who underwent pancreatectomy, there were 26 males and 44 females, at an average age of 59.06±11.34 years. The median follow-up duration for the entire cohort was 11 months (range, 1 to 60 months). The mean and median preoperative serum CA199 levels were 1,394.74 and 317.55 (range, 0.50 to 16,800.00), respectively, and those of carcinoembryonic antigen (CEA) levels were 10.62 and 3.20 (range, 0.40 to 167.30), respectively. Increased CA199 (>34.00 U/mL) and CEA level (>5.00 ng/mL) were found in 49 (70.00%) and 23 (32.86%) cases, respectively. The majority of participants were diagnosed with tumor size no less than 3 cm (48/70, 68.57%) and had positive lymph node metastases (41/70, 58.57%), henceforth based on the tumor, node, metastasis (TNM) staging methods according to the current American Joint Committee on Cancer (AJCC) classification criteria (13), a large proportion of stage III and IV cases (57/70, 81.43%) were observed (Table 1). However, we found that only 12 (12/70, 17.14%) participants suffered from distant metastases, the reason for which might be that most of the advanced PC patients had progressed past the surgical window at their time of diagnosis.

Correlation of clinicopathological features and absolute monocyte count

The optimal cutoff value for contrasting between the low and high monocyte groups of the peripheral blood monocyte was set to 590/µL; obtained from the ROC curve analysis, which demonstrated a maximum Youden index (YI =0.410), with an area under the curve (AUC) of 0.748 [95% confidence interval (CI): 0.634–0.861; P<0.001] (Figure 1). Therefore, the participants were classified into 2 groups, namely the low (<590/µL; n=40) and high (≥590/µL; n=30) monocyte groups, respectively. Our results demonstrated that a high monocyte count was significantly associated with lymph node metastasis (P=0.008) and gender (P=0.01) but had no association with CA199 or CEA level, tumor size and differentiation, depth of tumor invasion, and distant metastasis (Table 1). Further, the participants with high monocyte counts had a median 5-year overall survival of 7 months (95% CI: 4.85–9.15), while those with low monocytes counts were 11 months (95% CI: 12.23–15.77; P=0.008) (Figure 2), signifying that a high absolute monocyte count was an adverse prognostic factor in PC.

Figure 1 ROC analysis. The optimal cut-off value of monocyte was 590/µL with an AUC of 0.748 (95% CI: 0.634–0.861; P<0.001). ROC, receiver operating characteristic; YI, Youden index; AUC, area under the curve; CI, confidence interval.

Figure 2 Survival curve according to preoperative peripheral blood monocyte count. Patients with high monocyte count (≥590/µL) had inferior survival rate to those with low monocyte count (<590 /µL).

PC cells underwent EMT switch when cocultured with THP-1 monocytes

Obtaining a sufficient number of human monocytes was onerous as they could not proliferate with impunity and therefore restricted their application in in vitro functional studies. Instead of human monocytes, we used immortalized proliferative cell lines (THP-1) in most of the in vitro experiments. The THP-1 monocytes are suitable alternatives to human monocytes as they retain numerous properties of the native monocyte and have rapid growth and no donor-related variability (14). We found that the high peripheral blood monocyte count was associated with lymphatic metastasis and poor outcome. To investigate the effect of monocytes on PC, both PANC-1 and BxPC-3 cells were monoculture or indirectly cocultured with THP-1 monocyte cells using Transwell inserts, and the morphological alterations were examined under the microscope. As indicated in Figure 3A, the human PC cells (PANC-1 and BxPC-3) grew in monolayer when monoculture, similar to epithelial clusters. However, when cocultured with human monocyte THP-1 cells, they displayed spindle fibroblastic morphology, which were characterized by morphological changes from a pebble-like phenotype to an elongated phenotype. We next examined the effect of THP-1 monocytes on the migration and invasion of PC cells by Transwell-chamber assays after 72 h of monoculture or coculture. The 2-chamber migration and Matrigel invasion assays demonstrated that THP-1 monocytes significantly promoted greater migration of the PANC-1 cells to the flow chamber [migration from upper to lower chamber: 77.60±4.33 vs. 41.00±3.79 per high power field (HPF), P<0.001; and invasion from upper to lower chamber: 52.66±3.71 vs. 25.67±2.96 HPF, P<0.001] (Figure 3B,3C). Similar results for BxPC-3 cells were observed (migration: 83.00±7.23 vs. 35.33±2.91 HPF, P<0.001; invasion: 22.33±1.45 vs. 11.00±2.08 HPF, P<0.001) (Figure 3B,3C). Simultaneously, PC cells were attracted to migrate polycarbonate membrane by conditioned medium produced from THP-1 monocytes (Figure S1). As mentioned above, we had observed that PC cells exhibited spindle-shaped or fibroblast-like morphology with less intense cell-to-cell contact and increased cell motility when cocultured with THP-1 monocytes. To clarify whether EMT had taken place, we tested the levels of typical molecular markers, namely E-cadherin and vimentin. As illustrated in Figure 3D, the epithelial marker E-cadherin was distinctly downregulated, and the mesenchymal marker vimentin was distinctly upregulated in PC cells. Collectively, these results suggested that THP-1 monocytes promoted the invasiveness and EMT switch of PC cells.

Figure 3 THP-1 monocytes promoted the invasiveness and EMT switch of PC cells. (A) Phase contrast microscopy showed a change in morphology for PANC-1 and BxPC-3 cell lines. Both PANC-1 and BxPC-3 cells lost their cell-to-cell contact, became elongated, and branched together when cocultured with THP-1 monocytes. (B) Migratory and invasive abilities of PANC-1 and BxPC-3 cells coculturing with THP-1 monocytes were evaluated by Transwell assay. The penetrating cells were stained with 0.05% crystal violet. (C) Histogram analysis for penetrating cells. (D) EMT-related markers (E-cadherin and vimentin) were detected by western blotting. THP-1 monocytes induced PANC-1 and BxPC-3 cells upregulation of vimentin while downregulating E-cadherin. Magnification: 100×. Scale bars: 100 µm. *, P<0.05. GAPDH, glyceraldehyde 3-phosphate dehydrogenase; EMT, epithelial-mesenchymal transition; PC, pancreatic cancer.

THP-1 monocytes facilitated Snail-mediated EMT in PC cells by activating the NF-κB signaling pathway

Because we chose a non-contact coculture system in our study, all kinds of cytokines were the most important inflammatory mediators between PC cells and THP-1 monocytes. We then performed a qRT-PCR assay to screen the relative expression level of a total of 12 cytokine genes, and the result indicated that the relative messenger RNA (mRNA) expression ratio of tumor necrosis factor-α (TNF-α) to GAPDH was 79.70, which suggested that TNF-α was the most abundantly expressed gene, followed with interleukin-1α (IL-1α; the relative ratio was 11.37) (Figure 4A). It is well known that both TNF-α and IL-1α are agonists of the NF-κB signaling pathway and that the EMT regulatory factor Snail is a downstream target gene of this pathway. Western blot analysis demonstrated that the protein expression level of NF-κB (p65) and Snail was significantly increased in PC cells when treated with conditioned medium produced by THP-1 monocytes. By using the NF-κB inhibitor BAY11-7082, the THP-1 monocyte-induced upregulation of Snail was observed to be inhibited as well as the reversal of the EMT switch (Figure 4B). At the same time, the ability of PC cells to invade Transwell inserts decreased in the presence of BAY11-7082 (Figure 4C,4D). These results revealed that THP-1 monocytes secreted the cytokines (most likely TNF-α and IL-1α) to activate the NF-κB signaling pathway, which in turn upregulated Snail expression and induced the EMT process in PC cells.

Figure 4 THP-1 monocytes promoted PC cells to undergo EMT switch via the NF-κB dependent upregulation of Snail. (A) qRT-PCR was performed to estimate a series of cytokines in THP-1 monocytes. TNF-α has demonstrated the highest expression of cytokine among them. (B) NF-κB inhibitor BAY11-7082 (10 µmol/L) blocked Snail expression and revered EMT change in PC cells stimulated by condition medium form THP-1 monocytes. CM: conditioned medium produced by THP-1 monocytes; BAY: BAY11-7082. (C,D) NF-κB inhibitor BAY11-7082 (10 µmol/L) impaired PC cells migration and invasion abilities induced by conditioned medium from THP-1 monocytes. The penetrating cells were stained with 0.05% crystal violet. Magnification: 100×. Scale bars: 100 µm. *, P<0.05. GAPDH, glyceraldehyde 3-phosphate dehydrogenase; TNF-α, tumor necrosis factor-α; IL-1α, interleukin-1α; TGF-β, transforming growth factor-β; NF-κB, nuclear factor-κB; PC, pancreatic cancer; EMT, epithelial-mesenchymal transition; qRT-PCR, quantitative real-time polymerase chain reaction.

Higher expression of Snail correlated with higher absolute monocyte count and poor prognosis in PC

To test whether the expression level of Snail in PC tissue and the absolute monocyte count in peripheral blood was clinically relevant, IHC staining was performed on the 70-participant PC tissue cohort. The result indicated that positive Snail staining was located primarily in the nucleus and cytoplasm of PC cells (Figure 5A). More than half of the participants demonstrated (39/70, 55.71%) high expression (score ≥3) of Snail, and 31 (44.29%) participants demonstrated a low expression of Snail (score ≤2). Moreover, a significant positive correlation was displayed between the expression level of Snail and the absolute monocyte count (Spearman rank correlation coefficients, r=0.316, P=0.008, Figure 5B). Simultaneously, we used the online database Gene Expression Profiling Interactive Analysis (GEPIA; http://gepia.cancerpku.cn/index.html) (15) to perform correlation analysis based on The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) projects. As shown in Figure 5C,5D, the RNA sequencing expression level of Snail had positive correlation with cluster of differentiation 14 (CD14, marker of monocyte) (Spearman rank correlation coefficients, r=0.540, P<0.001, Figure 5C), and CD14 also had positive correlation with CD68 (marker of macrophage) (Spearman rank correlation coefficients, r=0.650, P<0.001, Figure 5D). Further, a high expression of Snail was correlated with poor prognosis of PC as indicated by the survival analysis (high expression group: median survival time =9 months; low expression group: median survival time =13 months; log-rank test P=0.024; Figure 5E). Similarly, both a higher expression of Snail and monocytes was associated with shorter overall survival compared with lower expressed participants (8 vs. 15 months, log-rank test P=0.002; Figure 5F). These clinical findings illustrated that a high expression of Snail might be related to high absolute monocyte count and poor prognosis in PC.

Figure 5 The expression level of Snail was correlated with peripheral blood monocyte count and the patients’ outcome. (A) Representative images of IHC staining for Snail in PC tissue with high and low monocyte count. Magnification: 100×. Scale bars: 100 µm. (B) Percentage of samples showed low and high Snail expression relative to peripheral blood monocyte count. (C) The scatter plot demonstrated the correlation between the expression of Snail and CD14 by the GEPIA online tool. (D) Scatter plot demonstrated the correlation between the expression of CD14 and CD68 by the GEPIA online tool. (E,F) Correlation between overall survival of PC patients and Snail (E) expression, or both Snail and monocyte count (F). The Kaplan-Meier method and log-rank test were used for analysis. Expression level of: Snail-low (n=31), Snail-high (n=39); Snail-low + low-monocyte count (n=21), Snail-high + high-monocyte count (n=25). TCGA, The Cancer Genome Atlas; IHC, immunohistochemical; PC, pancreatic cancer; CD14, cluster of differentiation 14; GEPIA, Gene Expression Profiling Interactive Analysis.

Discussion

The tumor inflammatory microenvironment plays a great role in cancer initiation and progression. The systemic response against malignant tumors coordinated by immune cells is associated with rearrangements of multiple hematological components, such as white blood cells, particularly the neutrophils, lymphocytes and monocytes. Immune cells and cancer cells build a reciprocal and mutually beneficial relationship to alleviate cancer growth and metastasis. Recently, increasing evidence highlighted that variables derived from the peripheral blood count (e.g., LMR) could be seen as a simple index of the immune function and may have a prognostic value in patients with solid tumors (16,17).

In PC, many investigations have demonstrated that low LMR and high monocyte counts are predictors of poor patient long-term survival (6,18); however, their detailed mechanisms of action are not fully understood. Our study found that elevated peripheral blood monocyte count was associated with poor survival and lymph node metastasis in PC, which aligned with other researches (6,7,19). Some researchers have speculated several potential biological mechanisms linking monocyte with cancer biology (20). First of all, myeloid-derived suppressor cells (MDSCs) are recognized as a subpopulation of myeloid cells associated with tumor growth and progression (21). Monocyte-derived MDSCs (M-MDSCs) display an immune cell subset with profound immunosuppression function, and it is confirmed that targeting various components of M-MDSCs provides a promising future for the treatment of PC (9,22,23). Secondly, circulating blood monocytes migrate into cancer tissue and differentiate into TAMs after stimulating all kinds of cytokines (8). Then, TAMs regulate PC progression by promoting angiogenesis, metastasis, and pro-tumor immune response (10). Recently, Juusola et al. reported that peripheral blood monocytes displayed aberrant activation and immune suppression and had a tendency to differentiate into macrophages with pro-tumor function when stimulated by PC cells (24). Thirdly, the CCL2/CCR2 chemokine axis plays an important role in recruiting peripheral blood monocyte to the tumor microenvironment, and blockade of CCR2 restores anti-tumor immunity (25). It is reported that CCR2 inhibition is able to prevent liver metastasis and the CCR2 inhibitor PF-04136309 in combination with FOLFIRINOX chemotherapy is safe and tolerable for PC patients (7,26).

In our study, we used a coculture system to explore the effect of monocytes on PC cells. Our results revealed that THP-1 monocytes could enhance PC cell migration and invasion through EMT switch, and we further revealed that the mechanism was THP-1 monocytes secreted some cytokines (such as TNF-α and IL-1α) to upregulate Snail expression via activating the NF-κB signaling pathway. Baran et al. also reported that human peripheral blood monocytes secreted TNF-α to facilitate PC cell (HPC-4) motility via an EMT-dependent mechanism (27), which suggested that TNF-α was a vital cytokine secreted by monocytes. As a strong activator of the NF-κB signaling pathway, TNF-α is known to be constitutively activated in most PC patients (28) and has been shown to play key roles in the development of cancer (29). Reversely, many pro-inflammatory cytokines (like TNF-α) target the genes of NF-κB, and in doing so, form a positive feedback loop in the tumor inflammatory microenvironment. Liou et al. recently discovered that macrophages secreted RANTES (regulated on activation, normal T cell expressed and secreted) and TNF-α to activate NF-κB and its target genes, such as MMP-9 in the evolution of acinar to ductal metaplasia and pancreatic intraepithelial neoplasia (30). In addition, NF-κB is involved in transforming growth factor-β (TGF-β)- or insulin-like growth factor binding protein 2 (IGFBP2)-induced EMT-phenotype in PC with upregulation of vimentin and ZEB1, and downregulation of E-cadherin (31,32). Meanwhile, NF-κB-activated monocytes produced Sonic hedgehog (Shh), contributing to PC progression (33). Collectively, these data strongly indicated a contribution of the NF-κB signaling pathway in the interaction between cancer cells and stromal cells.

We also found that THP-1 monocytes accelerated PC cells to undergo EMT switch via the NF-κB dependent up-regulation of Snail. The NF-κB/Snail-induced EMT phenotype was confirmed in other malignant tumors, such as colorectal cancer (34), glioma (35), lung cancer (36), lymphoma (37) and melanoma (38). Snail is a member of the Snail superfamily with domains containing zinc finger proteins and a key transcription factor of EMT (39). Positive expression of Snail was found in most PC tissues and associated with invasive characteristics (40,41). In our study cohort, high expression of Snail was correlated with poor prognosis and elevated peripheral blood monocytes count.

Moreover, Snail acetylation promoted cancer cells to secrete CCL-2 and CCL-5 to recruit TAMs and induce macrophages to exhibit an M2-like phenotype (42). At the same time, TAMs could activate Snail expression by secreting different cytokines (43,44). Therefore, a wide variety of evidence has pointed to a critical role of the TNF-α/NF-κB/Snail pathway in linking inflammation and cancer.

This study had some potential limitations. First, the study cohort size was small, and there was selection bias, leading to restricted power to detect statistical differences on account of the retrospective nature of this study. Second, we used monocytoid THP-1 cells instead of human peripheral blood monocytes in the in vitro assays and did not analyze the difference of monocyte subgroups. A recent report demonstrated that the frequency of CD14+ CD16− HLADR^hi monocytes is a strong predictor of progression-free and overall survival in response to anti-PD-1 immunotherapy in stage IV melanoma (45), which suggested that different subgroups of monocytes may have different biological functions.

In conclusion, our study highlighted that an increase in peripheral blood monocyte was a poor prognostic marker and was related to the progression of PC by promoting activation of the NF-κB signaling pathway, which in turn induced the Snail-dependent EMT switch to initiate cancer metastasis. Also, as the monocyte count is readily available in clinical practice through a simple routine blood test, it could be used as an easy and rapid indicator to assess tumor metastasis and patient survival.

Acknowledgments

Funding: This work was supported by the National Natural Science Foundation of China (Grant No. 81874057, 81972741, 82103142), Natural Science Foundation of Guangdong Province, China (Grant No. 2018A030310227), Fundamental Research Funds for the Central University (Grant No. 18zxxt59), Science and Technology Program of Guangzhou, China (Grant No. 202102020082), Medical Scientific Research Foundation of Guangdong Province, China (Grant No. A2018012, A2019447), Medical Science Foundation of Sun Yat-sen University (Grant No. 19ykpy109) and Guangdong Science and Technology Department (Grant No. 2017B030314026).

Footnote

Reporting Checklist: The authors have completed the MDAR reporting checklist. Available at https://dx.doi.org/10.21037/tcr-21-980

Data Sharing Statement: Available at https://dx.doi.org/10.21037/tcr-21-980

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/tcr-21-980) and report this work was supported by the National Natural Science Foundation of China (Grant No. 81874057, 81972741, 82103142) and Science and Technology Program of Guangzhou, China (Grant No. 202102020082). The authors have no other conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of Sun Yat-sen Memorial Hospital, Sun Yat-sen University (SYSEC-KY-KS-2018-062) and individual consent for this retrospective analysis was waived.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.

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