Abstract
The adrenergic system contributes to the stress‐induced onset and progression of cancer. Adrenergic fibers are the primary source of norepinephrine (NE). The underlying mechanisms involved in NE‐induced colon cancer remain to be understood. In this study, we describe the function and regulatory network of NE in the progression of colon cancer. We demonstrate that NE‐induced phosphorylation of cAMP response element‐binding protein 1 (CREB1) promotes proliferation, migration, and invasion of human colon cancer cells. The downstream effector of NE, CREB1, bound to the promoter of miR‐373 and transcriptionally activated its expression. miR‐373 expression was shown to be necessary for NE‐induced cell proliferation, invasion, and tumor growth. We confirmed that proliferation and invasion of colon cancer cells are regulated in vitro and in vivo by miR‐373 through targeting of the tumor suppressors TIMP2 and APC. Our data suggest that NE promotes colon cancer cell proliferation and metastasis by activating the CREB1–miR‐373 axis. The study of this novel signaling axis may provide mechanistic insights into the neural regulation of colon cancer and help in the design of future clinical studies on stress biology in colorectal cancer.
Keywords: colorectal cancer, CREB1, miR‐373, NE, TIMP2
We propose a NE–CREB1–miR‐373 signaling axis in human colon cancer cells. NE promotes the progression of colon cancer via CREB1 activity‐dependent transcription, enhancing the expression of oncogenic miR‐373 and reducing the expression of the miR‐373 targets APC and TIMP2. This novel NE‐CREB1‐miR‐373 signaling axis may potentially serve as a new therapeutic target for colorectal cancer.
Abbreviations
- APC
adenomatous polyposis coli
- CRC
colorectal cancer
- CREB1
cAMP response element‐binding protein 1
- NE
norepinephrine
- qRT‐PCR
quantitative real‐time polymerase chain reaction
- TCGA
The Cancer Genome Atlas
- TH
tyrosine hydroxylase
- TIMP2
tissue inhibitor of metalloproteinases 2
1. Introduction
Organisms continuously encounter a variety of stresses that cause maladaptation and may even result in cancer. Increasing evidence indicates the importance of stress in cancer progression. Stress mediators such as neuroendocrine hormones enhance cancer pathogenesis by inhibiting antitumor immune responses; recent studies suggest that the peripheral nerves in tumor‐nervous connections (TNCs) modulate the physiological behavior of cancer cells and affect cancer progression (Amit et al., 2016; Chida et al., 2008; Faulkner et al., 2019; Jobling et al., 2015; Mauffrey et al., 2019; Quaegebeur et al., 2011; Reiche et al., 2004; Thaker et al., 2006). Colorectal cancer (CRC) is a commonly occurring cancer that is densely innervated by autonomic fibers and results in shortened patient survival (Liebl et al., 2013). TNCs consist of sympathetic and parasympathetic nervous system (Arese et al., 2018; Faulkner et al., 2019; Jobling et al., 2015). Activation of the adrenergic system significantly affects stress‐induced cancer progression (Magnon et al., 2013). Adrenergic fibers are the primary source of norepinephrine (NE). Although it is known that physiological changes are induced by the adrenergic system, the cellular targets and molecular mechanisms involved in the neural regulation of CRC remain to be investigated; the results of such studies may provide a basis for novel therapeutic interventions (Coelho et al., 2017).
Sympathetic nerve fibers deliver adrenergic signals that are recognized by β‐adrenergic receptors (β‐ARs) present in the tumor microenvironment (Cole et al., 2015). NE is the principal messenger released by central noradrenergic and peripheral sympathetic nerve fibers (Tang et al., 2013). NE regulates cell proliferation, survival, and tumor progression by activating the β‐AR‐cyclic AMP (cAMP)–protein kinase A (PKA) pathway in various cancer cells (Cole and Sood, 2012). The transcription factor cAMP response element‐binding protein (CREB), which acts downstream of PKA, mediates stress‐induced changes in learning and memory (Peng et al., 2015). Moreover, CREB stimulates the expression of miR‐373 and mediates the growth of zinc transporter 4‐induced pancreatic cancer (Zhang et al., 2013). However, little is known about the role of CREB in stress‐induced progression of CRC.
MicroRNAs (miRs) are involved in the regulation of gene expression and may potentially serve as new therapeutics in cancer (Awasthi et al., 2018). miR‐373 plays a variety of roles in tumorigenesis and tumor progression. It targets the epidermal growth factor receptor and functions as a tumor suppressor in glioblastomas; it also targets Dickkopf‐1 in the Wnt/β‐catenin pathway, thereby functioning as an oncogene in tongue squamous cell, testicular germ cell, esophageal squamous cell, and prostate cancer (Jing et al., 2017; Voorhoeve et al., 2006; Wei et al., 2015; Weng et al., 2017). In this study, using loss‐/gain‐of‐function, ChIP, and luciferase reporter assays, we reveal the importance of the NE–CREB1–miR‐373 axis and the oncogenic role of miR‐373 in colon cancer. Knowledge of this novel signaling axis may provide mechanistic insights into the neural regulation of CRC and help in the design of future clinical studies on stress biology in cancer.
2. Materials and methods
2.1. Reagents for cell culture and transfection
HCT116 and RKO cells were purchased from the American Type Culture Collection (Manassas, VA, USA) and cultured and transfected as described previously (Li et al., 2010). The interference oligonucleotides used in this study were synthesized by GenePharma (Shanghai, China) and are listed in Table S1. The plasmids used for overexpression (CREB1, TIMP2) and their respective controls (CON, Vehicle) were purchased from GenePharma. The precursor of hsa‐miR‐373 was subcloned into pcDNA6.2 (Invitrogen, Carlsbad, CA, USA) and labeled as miR‐373; the blank vector used as a control was labeled as miR‐Ctrl. NE and propranolol were purchased from Sigma‐Aldrich and used at a molarity of 10 μm.
2.2. MTT assay
Cells were seeded in 96‐well plates and cultured for 24, 48, or 72 h before the addition of MTT; the absorbance of each well was then measured spectrophotometrically at 490 nm using a FLUOstar OPTIMA spectrophotometer (BMG Labtech, Ortenberg, Germany).
Each experiment was independently performed three times.
2.3. Colony‐forming assay
Colon cancer cells were seeded in 24‐well plates at a density of 5 × 102 cells per well. After 1 week, the cells were stained with 0.1% (w/v) crystal violet and photographed.
Each experiment was independently performed three times.
2.4. Wound healing assay
Cells were seeded in 6‐well plates and incubated until they were 90% confluent. A straight scratch was then made across the base of the well. Images of the cells were captured at 40× magnification (Nikon, Tokyo, Japan) at 0, 24, and 48 h and used to determine cell migration. The width of the wound was measured at 0, 24, and 48 h using imagej (National Institute of Mental Health, Bethesda, MD, USA), and the results were used to quantify the rate of cell migration. Each experiment was independently performed three times.
2.5. Transwell assay
Cell suspensions (100 μL) comprising 1 × 105 cells were seeded into the upper chambers of transwell plates lacking Matrigel for the migration assay or containing 30 μL Matrigel (BD Biosciences, San Jose, CA, USA) for the invasion assay. The upper chamber contained medium without fetal bovine serum, and the lower chamber was filled with 600 μL of medium containing 10% fetal bovine serum. The cells were cultured under normal conditions for 24 h for the migration and invasion assays. Subsequently, the incased migrating cells (at the bottom of the upper chamber) were stained with 0.1% (w/v) crystal violet and imaged at 100× magnification. Each experiment was independently performed three times.
2.6. Western blotting
Proteins were isolated, electrophoresed, and transferred to polyvinylidene fluoride membranes (Millipore, Billerica, MA USA). The transferred membranes were blocked and incubated sequentially with primary (1 : 1000 dilution) and secondary antibodies (1 : 5000 dilution, Jackson ImmunoResearch Laboratories, Inc., West Grove, PA, USA). The immunoreactive bands were visualized using enhanced chemiluminescence. The following primary antibodies were used: phospho‐CREB (CST 9198); CREB (CST 9197); tissue inhibitor of metalloproteinases 2 (TIMP2; CST 5738); adenomatous polyposis coli (APC; Proteintech 19782‐1‐AP); β‐catenin (Proteintech 51067‐2‐AP); and tyrosine hydroxylase (TH; Proteintech 66334‐1‐Ig). All experiments were independently performed three times.
2.7. Immunofluorescence assay
Cells on slides were fixed using 4% paraformaldehyde and permeabilized with 0.05% Triton X‐100. They were then incubated with primary antibodies (phospho‐CREB, 1 : 500 dilution; APC, 1 : 250 dilution) overnight at 4°C. On the following day, the cells were incubated with a fluorescently tagged secondary antibody (Jackson ImmunoResearch), stained with 0.1 μg·mL−1 4′,6‐diamidino‐2‐phenylindole (DAPI) to identify the nucleus, and imaged using a fluorescence microscope (ECLIPSE TE2000‐U, Nikon).
2.8. RNA isolation, reverse transcription, and quantitative real‐time polymerase chain reaction
Total RNA was isolated from cells using TRIzol (Invitrogen) and reverse‐transcribed into cDNA using the PrimeScript RT Reagent Kit (Takara, Otsu, Japan). Quantitative real‐time polymerase chain reaction (qRT‐PCR) was performed using SYBR Green (Takara) with the FTC‐3000P system (Funglyn Biotech, Toronto, ON, Canada). miRNA and mRNA expression was normalized to U6 and β‐actin levels, respectively. The primers used are listed in Table S2. Each sample was assayed in triplicate and analyzed using the method. Each experiment was independently performed three times.
2.9. ChIP and luciferase reporter assay
The promoter of miR‐373 (http://grch37.ensembl.org/index.html) was studied using the bioinformatics software jaspar (http://jaspar.genereg.net). For ChIP, cells were pretreated with 1% formaldehyde for crosslinking. After treatment with glycine to quench the reaction, the cells were resuspended sequentially in Mg‐NI, Mg‐NI‐XP40, Ca‐NI, and lysis buffer. Ultrasonication was performed to shear the DNA into fragments approximately 500 base pairs in length. The sheared chromatin was immunoprecipitated using anti‐CREB, anti‐p‐CREB, or anti‐IgG antibodies; subsequently, the ChIP products in each immunoprecipitation reaction were analyzed by PCR and agarose gel electrophoresis. The primers used are listed in Table S3. The sequence upstream of miR‐373 harboring the putative wild‐type or mutated CREB binding site (Table S4) was subcloned into the pGL3‐reporter vector (Promega, Madison, WI, USA) and used in the luciferase reporter assay. The cloned constructs and the blank pGL‐reporter vector were cotransfected with the CREB1 or CON plasmid. Luciferase activities were measured to determine promoter activation after 24 h. Experiment was performed three times independently.
2.10. Dual‐luciferase reporter assay
miR‐373 targets were predicted using the following online algorithms: RNA22 (https://cm.jefferson.edu/rna22/Interactive/), PicTar (http://pictar.mdc-berlin.de), and RegRNA (http://regrna.mbc.nctu.edu.tw/html/tutorial.html). The sequences encoding the wild‐type or mutated predicted binding sites of miR‐373 on APC or TIMP2 (Table S5) were synthesized and subcloned into pmirGLO (Promega). The wild‐type pmirGLO‐APC‐WT/TIMP2‐WT and the mutated pmirGLO‐APC‐MT/TIMP2‐MT constructs were cotransfected with the miR‐373 or miR‐Ctrl plasmids. Luciferase activities were expressed as the ratio of firefly to Renilla luciferase activity and normalized to the control using the Dual‐Luciferase Assay Kit (Promega).
2.11. In vivo experiments for xenograft tumor and tumor metastasis using nude mice
All in vivo assays were conducted under the guidelines of the Animal Care and Use Committee of Xi’an Jiaotong University. Nude mice were obtained from the Animal Center of Xi’an Jiaotong University. Lentivirus containing sponge‐miR‐373 was purchased from Hanbio Biotech (Shanghai, China) and used to sponge and stably inhibit intracellular miR‐373 (Ebert and Sharp, 2010). HCT116 cells were infected with the virus and screened with puromycin to generate the stable cell line HCT116‐sponge‐miR‐373. A control stable line, HCT116‐sponge‐miR‐Ctrl, was constructed in a similar manner.
For the tumor metastasis model, 2 × 106 HCT116‐sponge‐miR‐373 or HCT116‐sponge‐miR‐Ctrl cells were injected into the tail veins of nude mice. After 40 days, bioluminescence in the surviving mice was imaged using the Xenogen Imaging System (Xenogen, Alameda, CA, USA). Subsequently, the mice were sacrificed, their lungs were removed, and metastases were confirmed by direct monitoring of the luciferase signals.
For the xenograft tumor model, 3 × 106 cells were subcutaneously injected into the posterior flanks of nude mice. NE or saline was injected intraperitoneally every day. The length (L) and width (W) of the xenografts were measured every 3 days, and tumor volume (V) was calculated using the formula V = (L × W)2/2. On the last day, the xenografts were removed and weighed.
2.12. Bioinformatics analysis
Tyrosine hydroxylase (TH) has been used as a biomarker of adrenergic nerves (Faulkner et al., 2019). We extracted data on TH, CREB1, hsa‐miR‐373‐3p, APC, and TIMP2 in tumor tissues from the RNAseq Illumina HiSeq dataset in the Cancer Genome Atlas (TCGA) of the University of California Santa Cruz Genomics Institute (https://xenabrowser.net/heatmap/; Cancer Genome Atlas Network, 2012). The dataset included 23 cases of TCGA colon cancer (COAD) and 14 cases of TCGA rectal cancer (READ) with simultaneous data on TH, CREB1, hsa‐miR‐373‐3p, APC, and TIMP2. The cases were ranked according to the level of expression of TH and divided into two groups; the half of the cases with lower TH expression formed the Low TH RNA level group, and the other half made up the High TH RNA level group. The data on CREB1, hsa‐miR‐373‐3p, APC, and TIMP2 in these two groups were analyzed using spss software (IBM SPSS, Chicago, IL, USA), and the unpaired t‐test was used to compare them.
2.13. Clinical tissue specimens
CRC tumor samples were obtained from the Third Affiliated Hospital of Xi’an Jiaotong University (Xi’an, China). None of the patients had received prior chemotherapy, radiotherapy, or systemic therapy, and none had additional malignant tumors. All samples were obtained with the informed consent of the patient prior to collection. The present study was approved by the Medical Ethics Committee of Xi’an Jiaotong University. The study methodologies conformed to the standards set by the Declaration of Helsinki.
2.14. Statistical analysis
Data are presented as mean ± standard deviation. Statistical analysis was performed using spss software; Student's t‐test was used to compare groups. P < 0.05 was considered statistically significant.
3. Results
3.1. NE promotes colon cancer cell proliferation, migration, and invasion via CREB1
We determined the effect(s) of NE on HCT116 and RKO cells. The results of the MTT assays showed that NE enhanced cell viability in both cell types compared to untreated cells (Fig. 1A, Fig. S1). The colony‐forming assay also demonstrated that NE stimulated colony formation (Fig. 1B). Moreover, the results of the wound healing assay showed that NE promoted wound closure (Fig. 1C). Since the wound healing assay results reflect both cell proliferation and cell migration, we used the transwell assay to confirm that NE increased the migratory and invasive nature of the HCT116 and RKO cells (Fig. 1D).
cAMP response element‐binding protein is a mediator of stress‐induced maladaptation (Peng et al., 2015); thus, we investigated its role in the cellular changes that occur in NE‐induced colon cancer. Western blotting and immunofluorescence assays showed that NE increased the levels of p‐CREB both in the nucleus and in whole‐cell extracts (Fig. 2A,B, Fig. S2A). We used siCREB1‐1 and siCREB1‐2 individually to inhibit CREB1 expression in HCT116 and RKO cells (Fig. S3A). The MTT and colony‐forming assays showed that this reduced the previously observed NE‐induced proliferation of cells (Fig. 2C,D, Fig. S2B). Moreover, siCREB1 activity in the NE‐treated cells delayed wound closure and inhibited migration and invasion (Fig. 2E,F, Fig. S2C,D). We utilized propranolol, an inhibitor of β‐AR (Benish et al., 2008), to block NE and found that this decreased NE‐induced colony formation and wound closure and that this effect was rescued by overexpression of CREB1 (Fig. 2G,H, Fig. S3B). These results suggest that NE promotes cell proliferation, migration, and invasion by activating CREB1 in human colon cancer cells.
3.2. NE increases miR‐373 expression via CREB1
Previous studies have shown that the expression of miR‐373 is regulated by CREB in zinc transporter 4‐induced progression of pancreatic cancer (Awasthi et al., 2018). Since microRNAs elicit specific cellular effects (Esteller, 2011), we wanted to understand the role of miR‐373 in our experimental setup. qRT‐PCR showed that, compared to the untreated cells, NE increased miR‐373 levels, whereas propranolol inhibited miR‐373 expression (Fig. 3A). Moreover, siCREB1‐1 and siCREB1‐2 inhibited the NE‐induced increase in miR‐373 levels (Fig. 3B). Propranolol inhibited the NE‐induced expression of miR‐373, and overexpression of CREB1 reversed the effects of propranolol (Fig. 3C). Only overexpression of CREB1 enhanced miR‐373 expression; siCREB1‐1 and siCREB1‐2 inhibited miR‐373 expression (Fig. S3C, Fig. S3D). These data suggest that NE transcriptionally upregulates miR‐373 via CREB1.
3.3. CREB1 transcriptionally activates miR‐373 expression
Next, we analyzed the upstream sequences of miR‐373 (http://grch37.ensembl.org/index.html) to discover CREB binding sites using JASPAR (http://jaspar.genereg.net). The seven putative CREB binding site cassettes are schematically represented by vertical sticks in Fig. 3D and Table S3. Five of these sites (binding sites 2, 3, and 4 and binding sites 5 and 6) were clustered in two regions. We synthesized two pairs of primers (primer pair 2 and primer pair 3) for the clustered regions and two primer pairs (primer pair 1 and primer pair 4) for the other two binding sites (binding site 1 and binding site 7). Subsequently, we performed ChIP to confirm the binding of CREB to these two regions (Fig. 3E). To determine whether these two regions are directly involved in miR‐373 regulation, we generated two pGL‐wt constructs containing the putative CREB binding sites and two pGL‐mt plasmids containing mutated versions of the CREB binding sites (Table S4) and used these in the luciferase reporter assay. Compared with the control constructs, cotransfection of the CREB1 and pGL‐wt plasmids resulted in high luciferase activity, whereas cotransfection of the CREB1 and pGL‐mt plasmids resulted in near‐basal luciferase activity (Fig. 3F). Therefore, CREB1 binds to the promoter of miR‐373 and activates the transcription of miR‐373 in colon cancer cells.
3.4. NE enhances colon cancer cell proliferation, migration, and invasion via miR‐373
miR‐373 inhibits migration and invasion of glioblastoma (Gao et al., 2018; Jing et al., 2017), but it functions as an oncogene in other cancers (Liu et al., 2015; Voorhoeve et al., 2006; Weng et al., 2017; Zhang et al., 2013). Thus, we wished to determine the role of miR‐373 in colon cancer. We constructed a plasmid that overexpresses miR‐373 and confirmed its efficiency (Fig. S4A). Overexpression of miR‐373 increased cell proliferation (Fig. S5A,B), whereas inhibition of endogenous miR‐373 using an miR‐373 inhibitor (Fig. S4B) decreased cell proliferation (Fig. S4A,B). The wound healing assay showed that overexpression of miR‐373 enhanced wound closure, while the miR‐373 inhibitor hindered the process of wound closure (Fig. S5C). These results were confirmed in vivo using mice. We generated the HCT116‐sponge‐miR‐373 cell line wherein the function of miR‐373 was stably inhibited (Ebert and Sharp, 2010); HCT116‐sponge‐miR‐Ctrl cells were used as a control. We injected these cells into mice via the tail vein and monitored metastasis by imaging 40 days later. Three of four mice injected with the HCT116‐sponge‐miR‐Ctrl cells developed metastatic foci in the lungs; however, only one of four mice injected with the HCT116‐sponge‐miR‐373 cells developed metastatic foci (Fig. S4D). These results demonstrate that oncogenic miR‐373 induces the proliferation and metastasis of human colon cancer cells.
Next, we explored whether miR‐373 is involved in the phenotypic differences induced by NE. NE‐induced cell proliferation was suppressed by transfection with the miR‐373 inhibitor (Fig. 4A,B). The results of the wound healing and transwell assays showed that the miR‐373 inhibitor reduced NE‐induced cell migration and invasion (Fig. 4C,D). Thus, NE promoted cell proliferation, migration, and invasion via miR‐373 in colon cancer cells. These results were then tested in the xenograft tumor model. Mice were divided into 4 groups: normal saline (NS)+sponge‐miR‐Ctrl, NE + sponge‐miR‐Ctrl, NS + sponge‐miR‐373, and NE + sponge‐miR‐373. All the mice were healthy and of equal body weight (Fig. S6A). NE treatment increased the tumor size and weight, whereas sponge‐miR‐373 significantly restricted the progression of the NE‐induced xenografts (Fig. 4E, Fig. S6B). These results indicate that NE promotes proliferation, migration, and invasiveness in colon cancer via miR‐373.
3.5. TIMP2 and APC are targets of miR‐373 in human colon cancer cells
MicroRNAs are noncoding RNAs that degrade target mRNAs or inhibit translation through base pairing with target genes (Esteller, 2011). We used common bioinformatics tools (RNA22, picTAR, and RegRNA) to predict the targets of miR‐373. TIMP2 and APC, among many others, were found to be novel targets of miR‐373 among many others (Fig. S7A). We validated the changes in TIMP2 and APC expression by modulating the levels of miR‐373. The mRNA levels of TIMP2 and APC decreased upon overexpression of miR‐373 (Fig. 5A). The protein levels of TIMP2 and APC also decreased upon miR‐373 overexpression and increased using the miR‐373 inhibitor (Fig. 5B). APC is a critical component of the β‐catenin degradation complex (Kohler et al., 2009); consistent with this, miR‐373 overexpression upregulated β‐catenin expression, whereas exposure of the cells to the miR‐373 inhibitor downregulated β‐catenin expression (Fig. 5B). We used an immunofluorescence assay to discover that the fluorescence intensity imparted by APC in miR‐373‐overexpressing cells was significantly lower than that seen in the control cells (Fig. S7B). These results suggest that miR‐373 downregulates TIMP2 and APC. We then generated wild‐type and mutated versions of TIMP2 and APC (TIMP2‐WT, APC‐WT, TIMP2‐MT, and APC‐MT) using the pmirGLO backbone (Table S5) and used them in the dual‐luciferase reporter assay. miR‐373 overexpression decreased the luminescence observed when the TIMP2‐WT or APC‐WT constructs were used compared to that observed in miR‐Ctrl cells, whereas there were no differences in the amount of luminescence generated by the TIMP2‐MT or APC‐MT constructs in cells cotransfected with miR‐373 and miR‐Ctrl (Fig. 5C). These results indicate that TIMP2 and APC are direct targets of miR‐373.
3.6. miR‐373–TIMP2 mediates NE‐induced colon cancer cell proliferation, migration, and invasion
A role for APC in the development of colon cancer has been reported (Lesko et al., 2014); thus, we focused on TIMP2. We generated a TIMP2‐overexpressing plasmid and observed that overexpression of TIMP2 significantly inhibited miR‐373‐induced wound closure (Fig. 5D, Fig. S7C). This indicates that miR‐373‐induced cell proliferation and migration is mediated at least in part by TIMP2. We then verified the roles of the miR‐373 targets in mediating the NE‐induced effects. NE decreased the mRNA and protein levels of TIMP2 and APC but increased the protein levels of β‐catenin (Fig. 6A,B). The wound healing assay showed that TIMP2 overexpression reduced NE‐induced wound closure (Fig. 6C). Similarly, TIMP2 overexpression also inhibited NE‐induced cell migration and invasion (Fig. 6D). These results suggest that miR‐373 targets mediate the NE‐induced phenotype in HCT116 and RKO cells.
3.7. NE‐CREB1‐miR‐373 signaling axis in CRC
We extracted gene expression RNAseq data from the TCGA database (Fig. 7A). Since tyrosine hydroxylase (TH) has been used as a biomarker of adrenergic nerves (Faulkner et al., 2019), we divided the data into two groups, a group with Low TH RNA levels (representing CRC tumors with low adrenergic innervation) and a group with High TH RNA level, indicating highly adrenergically innervated CRC tumors. Although the two groups did not differ in their CREB1 RNA levels, the level of miR‐373 was higher in the High TH group of colon cancer (COAD) and rectal cancer (READ) than in the Low TH group. APC RNA was lower in the High TH RNA group than in the Low TH RNA group. TIMP2 RNA was lower in the High TH RNA group of READ than in the Low TH group. In COAD, there was also a tendency toward a decrease in TIMP2 RNA in the High TH RNA group compared with that in the Low TH RNA group. In addition, we harvested proteins from clinical CRC tumor tissues (Fig. 7B). The western blotting results indicated that the protein levels of p‐CREB were higher in CRC tissue samples with relatively high levels of TH protein than in CRC tissue samples with relatively low levels of TH protein. In addition, the protein levels of APC and TIMP2 were lower in CRC tissue samples with relatively high levels of TH protein than in CRC samples with relatively low expression of TH protein. hsa‐miR‐373‐3p was significantly higher in CRC tissue samples with relatively high levels of TH protein than in CRC samples with relatively low levels of TH protein (Fig. 7C). These results from public databases and clinical CRC patients are consistent with our in vitro and in vivo findings.
Based on these results, we propose a novel NE–CREB1–miR‐373 signaling axis in human colon cancer cells (Fig. 8). We have demonstrated that NE promotes the progression of colon cancer via CREB1 activity‐dependent transcription, enhancing the expression of oncogenic miR‐373 and reducing the expression of the miR‐373 targets APC and TIMP2. This novel NE‐CREB1‐miR‐373 signaling axis may potentially serve as a new therapeutic target for CRC, which occurs commonly and is highly innervated by autonomic fibers, ultimately resulting in reduced patient survival (Liebl et al., 2013).
4. Discussion
Organisms are continuously exposed to a variety of stresses that cause maladaptation and can even lead to cancer. In addition to changes in humoral immunity, recent studies have shown that the peripheral nerves in TNCs are associated with stress‐induced physiological changes in cancer cells (Arese et al., 2018; Faulkner et al., 2019; Jobling et al., 2015; Magnon, 2015; Mauffrey et al., 2019; Tang et al., 2013). Neurotransmitters are age‐old secreted modulators that are evolutionarily conserved. They are widespread in non‐neural cancer tissues, including CRC (Huh et al., 2010; Liebl et al., 2013). An active adrenergic system is responsible for stress‐induced cancer progression; epidemiological evidence has shown that β‐blockers improve the long‐term survival of cancer patients (Coelho et al., 2015). NE is secreted primarily by adrenergic fibers. Our previous report showed that chronic exposure to scream sound stress caused an increase in the levels of NE in the serum and progression of colon cancer in mice (Hou et al., 2013). In this study, we have demonstrated a novel pathway (NE–CREB1–miR‐373 signaling) through which NE directly stimulates the progression of colon cancer.
Norepinephrine regulates cell proliferation, survival, and tumor progression via the β‐AR–cAMP–PKA axis in various cancer cells (Chida et al., 2008). NE upregulates p‐CREB during neuronal plasticity (Yaniv et al., 2008) and suppresses cytotoxicity by activating cAMP/PKA and CREB in human microglia‐like THP‐1 cells (Yang et al., 2012). However, very little is known about the NE–CREB correlation in cancer. In this study, we used human colon cancer cells to show that NE activates CREB1. Inhibition of CREB1 in NE‐treated cells decreased cell proliferation and invasion, and the presence of CREB1 was crucial in the NE‐induced progression of colon cancer.
Previous studies have shown that microRNAs are transcriptionally regulated by CREB in neural tissues (Tan et al., 2012; Xia et al., 2017). In this study, we demonstrated that CREB1 promotes miR‐373 expression by binding to its promoter in human colon cancer cells. miR‐373 plays a myriad of roles in tumorigenesis and in the progression of tumors. miR‐373 targets the epidermal growth factor receptor and is a tumor suppressor in glioblastoma cells. However, miR‐373 is a potential oncogene in tongue squamous cell, testicular germ cell, esophageal squamous cell, and prostate cancers (Jing et al., 2017; Voorhoeve et al., 2006; Wei et al., 2015; Weng et al., 2017). We found that miR‐373 elicits oncogenic effects in human colon cancer cells and that it is correlated with the NE‐induced progression of colon cancer.
In this study, we showed that miR‐373 promotes the proliferation and metastasis of colon cancer both in vitro and in vivo. Metastases are the primary cause of cancer mortality, and matrix metalloproteinases and TIMPs play significant roles in tumor invasion and metastasis (Curran et al., 2004). TIMP2 is a tumor suppressor gene (Stetler‐Stevenson, 2008); its overexpression decreases metastasis in various cancers (Kai et al., 2016; Stetler‐Stevenson, 2008). Interestingly, we found TIMP2 to be a target of miR‐373 and showed that both NE and miR‐373 downregulate TIMP2 expression; TIMP2 overexpression reversed the effects of miR‐373 and NE. To the best of our knowledge, this is the first report demonstrating that TIMP2 is the downstream effector of the NE–CREB1–miR‐373 axis that mediates metastasis in response to NE in colon cancer cells.
We also showed that APC is a target of miR‐373. APC is a tumor suppressor gene that modulates cellular processes such as cell proliferation and migration (Lesko et al., 2014). Mutations in APC aberrantly activate the β‐catenin signaling that is involved in CRC tumorigenesis (Kohler et al., 2009; Roose et al., 1999). In our study, we used HCT116 and RKO cells that express wild‐type APC (Fukuyama et al., 2008) to show that the mRNA and protein levels of APC were decreased by exposure to NE or by miR‐373 overexpression. These findings are similar to the previously reported effects of NE and miR‐373 (Kohler et al., 2009; Lesko et al., 2014; Roose et al., 1999). In further support of our findings, previous studies have reported that TIMP2 inhibits Wnt/β‐catenin signaling in melanoma (Xia and Wu, 2015).
In addition to directly promoting the growth of cancer cells, NE has been reported to be associated with increased expression of vascular endothelial growth factor and with the development of abundant tumor vascularization that facilitates tumor progression (Faulkner et al., 2019; Magnon, 2015; Thaker et al., 2006). We also detected it in our experiments (unpublished results). This needs further investigation.
5. Conclusions
Our study reveals that NE promotes colon cancer cell proliferation and metastasis by activating the NE–CREB1–miR‐373 axis and demonstrates that the targets of miR‐373, TIMP2 and APC, mediate these NE‐induced effects. This novel signaling axis may provide mechanistic insights into the neural regulation of CRC and help in the design of future clinical studies on stress biology in CRC.
Conflict of interest
The authors declare no conflict of interest.
Author contributions
JH, NH, and CH designed the experiments. JH, QJ, RM, HZ, KT, LN, JM, YY, and FW performed the experiments. BD provided the tumor tissues of clinical CRC patients. XW, DT, and YC analyzed the data. JH and MW provided the reagents and analytical tools. JH and NH wrote the paper.
Supporting information
Acknowledgements
This work was supported by grants from the National Natural Science Foundation of China (51837008 and 81760510), the Scientific Research and Sharing Platform Construction Project of Shaanxi Province (2018PT‐09), and the Natural Science Basic Research Plan in Shaanxi Province of China (2016JM3027).
Ni Hou and Chen Huang contributed equally to this work
Contributor Information
Ni Hou, Email: houni@mail.xjtu.edu.cn.
Chen Huang, Email: hchen@mail.xjtu.edu.cn.
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