Skip to main content

ORIGINAL RESEARCH article

Front. Oncol., 30 January 2017
Sec. Molecular and Cellular Oncology

Peptide Agonists of Vasopressin V2 Receptor Reduce Expression of Neuroendocrine Markers and Tumor Growth in Human Lung and Prostate Tumor Cells

  • Laboratory of Molecular Oncology, Quilmes National University, Bernal, Buenos Aires, Argentina

Neuroendocrine tumors (NETs) comprise a heterogeneous group of malignancies that express neuropeptides as synaptophysin, chromogranin A (CgA), and specific neuronal enolase (NSE), among others. Vasopressin (AVP) is a neuropeptide with an endocrine, paracrine, and autocrine effect in normal and pathological tissues. AVP receptors are present in human lung, breast, pancreatic, colorectal, and gastrointestinal tumors. While AVP V1 receptors are associated with stimulation of cellular proliferation, AVP V2 receptor (V2r) is related to antiproliferative effects. Desmopressin (dDAVP) is a synthetic analog of AVP that acts as a selective agonist for the V2r, which shows antitumor properties in breast and colorectal cancer models. Recently, we developed a derivative of dDAVP named [V4Q5]dDAVP, which presents higher antitumor effects in a breast cancer model compared to the parental compound. The goal of present work was to explore the antitumor properties of the V2r agonist dDAVP and its novel analog [V4Q5]dDAVP on aggressive human lung (NCI-H82) and prostate cancer (PC-3) cell lines with neuroendocrine (NE) characteristics. We study the presence of specific NE markers (CgA and NSE) and V2r expression in NCI-H82 and PC-3. Both cell lines express high levels of NE markers NSE and CgA but then incubation with dDAVP diminished expression levels of both markers. DDAVP and [V4Q5]dDAVP significantly reduced proliferation, doubling time, and migration in both tumor cell cultures. [V4Q5]dDAVP analog showed a higher cytostatic effect than dDAVP, on cellular proliferation in the NCI-H82 cell line. Silencing of V2r using small interfering RNA significantly attenuated the inhibitory effects of [V4Q5]dDAVP on NCI-H82 cell proliferation. We, preliminarily, explored the in vivo effect of dDAVP and [V4Q5]dDAVP on NCI-H82 small cell lung cancer xenografts. Treated tumors (0.3 μg kg−1, thrice a week) grew slower in comparison to vehicle-treated animals. In this work, we demonstrated that the specific agonists of V2r, dDAVP, and [V4Q5]dDAVP displays antitumor capacity on different human models of lung and prostate cancers with NE features, showing their potential therapeutic benefits in the treatment of these aggressive tumors.

Introduction

Neuroendocrine tumors (NETs) comprise a diverse group of malignancies that present a broad range of morphological, functional, and behavioral characteristics. The concept of neuroendocrine (NE) differentiation can be defıned as the secretion of bioactive substances by the neoplastic cells (1).

Neuroendocrine tumors growth is mainly regulated by autocrine and paracrine signaling through neuropeptides, peptide hormones, and bioamines with defined physiologic actions, and it has been widely reported in lung, gastric, colorectal, pancreatic, and prostatic cancer (2, 3). These signaling pathways depend on the expression of specific receptors on tumor cells. Among others, proteins expressed by these tumors are the synaptophysin, the chromogranin A (CgA), and the specific neuronal enolase (NSE) (4, 5). CgA is the most widely used biomarker for detecting NE differentiation in prostate cancer either at tissue level or in general circulation (6). NSE is currently the most reliable tumor marker in diagnosis, prognosis, and follow-up of small cell lung cancer (SCLC) (710).

Somastostatin (SST) is a neuropeptide with paracrine activity secreted by intestinal, lung, pancreas, and different nerve cells. It acts as a strong secretion inhibitor of several hormones as insulin, gastrin, and some growth factors. It also inhibits the proliferation of both normal and tumor cells. Its biological activity is exerted through binding to five different G-protein-coupled receptors (GPCRs) (11). Several analogs of somatostatin have been developed showing a potent biological activity with an enhanced stability in comparison to the parental peptide. It has been demonstrated that somatostatin and its analogs display antiangiogenic and antiproliferative activity on tumor cells both in vitro and in vivo, highlighting that some neuropeptides and specially its synthetic derivatives could be potentially used as antitumor agents. In particular, SST analogs (SSA) are used frequently to control hormone-related symptoms in NE cancer patients while their anti-neoplastic activity seems to result prevalently in tumor stabilization (12).

Vasopressin (AVP also called antidiuretic hormone) is a neuropeptide hormone synthesized primarily in the hypothalamus. Mainly, it has an endocrine effect but it is also secreted locally by many normal and pathological tissues exerting autocrine and paracrine activities (13). The effects of AVP are mediated by three GPCRs. These receptors are AVP type 1 receptor (V1ar, V1br also called V3r) and AVP type 2 receptor (V2r) and have numerous actions centrally and in the periphery (14, 15). The V1ar is typically expressed in vascular smooth muscle cells, where it mediates smooth muscle contraction and is also present in brain, adrenal cortex, adipose tissue, and hepatocytes. The V1br is mainly expressed in the anterior pituitary gland, adrenal medulla, islet cells of Langerhans, and white adipose tissue regulating the hypothalamic–pituitary–adrenal axis. V2r is expressed in the collecting ducts of the kidney and in alveolar vascular endothelium epithelial cells, stimulating water absorption and release of hemostatic factors from micro vasculature (16).

Interestingly, there is evidence of the expression of AVP and their receptors in SCLC (17, 18), breast (19, 20), pancreatic and colorectal cancer, and human gastrointestinal tumors (1). Moreover, syndrome of inappropriate antidiuretic hormone secretion was reported in patients with prostate cancer and SCLC (21, 22).

While V1 receptors are associated with the stimulation of cellular proliferation, V2r is related to antiproliferative effects (23). Desmopressin (dDAVP) is a synthetic peptide analog of AVP that acts as a selective agonist for the V2r. DDAVP differs from AVP by deamination of cystein in position 1, which prolongs its half-life; and substitution of l-arginine by d-arginine in position 8, which reduces the pressor effect and confers selectivity for V2r (24).

In our laboratory, we reported for the first time that dDAVP inhibits the dissemination of aggressive breast cancer cells (25) and colon carcinoma cells (26). We, further, demonstrated that peri-operative dDAVP treatment dramatically reduces lymph node and lung metastasis in a mouse model of mammary tumor manipulation and surgical excision (27).

Besides its antimetastatic properties, dDAVP has cytostatic properties and induces a tumor-mediated production of angiostatin, a potent antiangiogenic effector (28, 29). Thereby dDAVP seems to induce a dual, angiostatic and antimetastatic, effect, disrupting the crosstalk of cancer cells and endothelial cells during tumor progression (30).

Desmopressin was rationally modified in our laboratory to improve its biological activity. Parental peptide dDAVP was substituted in positions 4 and 5, and the novel analog [V4Q5]dDAVP ([4-valine 5-glutamine] desmopressin) was synthesized and evaluated. Amino acid positions 4 and 5 belong to the conformational peptide loop which has a key role in ligand–receptor interaction and antitumor activity (31). [V4Q5]dDAVP exhibited a significantly higher cytostatic effect against breast cancer cells compared to the parental compound, inhibited angiogenesis in endothelial cell cultures, and also reduced tumor growth and angiogenesis in aggressive human breast cancer xenograft (32). Additionally, [V4Q5]dDAVP, in combination with cytotoxic agents, resulted in a cooperative inhibition of breast cancer growth and metastatic progression in comparison to single-agent therapy (33).

Considering the evidence that supports the autocrine and paracrine involvement of neuropeptides in the regulation of tumor growth in cancers, such as lung and prostate, the present work explores the antitumor properties of the V2r agonist dDAVP and its novel analog [V4Q5]dDAVP on aggressive tumor cells with NE characteristics.

Materials and Methods

Cell Culture

Human SCLC cell line NCI-H82 (HTB-175), human non-small lung cancer cell line NCI-H125 (CRL-5801), and human prostate adenocarcinoma cell line PC-3 (CRL-1435) were obtained from the American Type Culture Collection. Tumor cells were grown in RPMI-1640 medium (Gibco, Rockville, MD, USA) supplemented with 10% fetal bovine serum (FBS), 2 mg ml−1 glutamine, and 80 μg ml−1 gentamycin as floating aggregates or monolayer culture, at 37°C in a humidified atmosphere of 5% CO2. Cells were harvested using a trypsin and EDTA solution (Gibco, Rockville, MD, USA) diluted in phosphate-buffered saline (PBS).

Peptide Compounds

Desmopressin and its analog [V4Q5]dDAVP were purchased from American Peptide Company Inc. (CA, USA, current BACHEM).

Immunofluorescence Detection of V2r

V2r expression was evaluated by immunofluorescence as described elsewhere (29). Briefly, NCI-H125 and PC-3 cancer cells were seeded on glass coverslips and fixed with 4% paraformaldehyde solution in PBS. NCI-H82 cells were subjected to centrifugation at 3,800 × g for 10 min. The supernatant fluids were drained off and cells were fixed with 4% paraformaldehyde solution in PBS. After incubation with blocking agent, cells were incubated with an anti-V2r primary antibody for 1 h at 37°C (Santa Cruz Biotechnology, Santa Cruz, CA, USA). Receptor-bound antibodies were detected with a secondary FITC-conjugated goat anti-rabbit IgG (Chemicon International, Temecula, CA, USA) and nuclei were labeled with DAPI using the Vectashield fluorescent mounting medium (Vector Laboratories, Peterborough, UK). Samples were examined using a TE-2000 fluorescence microscope (Nikon Inc., Tokyo, Japan). Cultures of MDA-MB-231 human breast carcinoma cells were used as a positive control of V2r expression (32). Negative controls consisted of omission of the primary antibody.

Quantitative RT-PCR (qRT-PCR)

Total RNA of NCI-H82, NCI-H125, and PC-3 treated or not with dDAVP 1,000 nM overnight (ON) was purified from 1 × 106 cells with Trizol according to the manufacturer’s protocol. RNA was reverse transcribed with SuperScript III first-Strand (Thermo Fisher Scientific Inc., USA) according to the manufacturer’s protocol. The following specific forward and reverse primers were used as described elsewhere (34): for NSE, 5-GAGACAAACAGCGTTACTTAG-30 and 50-AGCTGCCCCTGCCTTAC-3; for CgA, 5-GCGGTGGAAGAGCCATCAT-3 and 5-TCTGTGGCTTCACCACTTTTCTC-3; and for glyceraldehyde 3-phosphate dehydrogenase (GAPDH), 5-CATGGGTGTGAACCATGAGA-3 and 5-CAGTGATGGCATGGACTGTG-3 (35).

Quantitative RT-PCR was performed using SYBR Green PCR Master Mix (Thermo Fisher Scientific Inc., USA) and StepOne Real-Time PCR System (Applied Biosystems, Foster City, CA, USA). The following thermal cycling conditions were used: 48°C for 30 min, 95°C for 10 min, 40 cycles of 95°C for 15 s followed by 60°C for 60 s. Each sample was analyzed in triplicate and mean cycle threshold values (Ct) were used for further analysis. Ct values were normalized for GAPDH expression levels and normalized to control samples. Relative quantification values were calculated as 2−δδCt.

Cell Proliferation Assay

Antiproliferative effect of AVP analogs was measured on rapidly growing tumor cells using MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide; Sigma-Aldrich, St. Louis, MO, USA) or MTS assay [3-(4, 5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium; Promega, Madison, WI, USA]. Briefly, depending on tumor cell line, cells were plated in 96-well flat bottom plates at a density of 3–5 × 103 cell/well in 200 µl in RPMI-1640 supplemented with 10% FBS, allowed to attach ON, and then treated with dDAVP or [V4Q5]dDAVP (100–1,500 nM) or vehicle for 72 h. MTT or MTS reagent (20 µl) was added to each well and the plate was incubated at 37°C for 2–4 h. For MTT the absorbance of each well was measured in a microplate reader at 570 nm after solubilization using dimethyl sulfoxide. For MTS, absorbance was measured at 490 nm. The optical density of control cells was considered as 100% viability.

Doubling Time

For doubling time calculation, cells were seeded at 3 × 104 cells/well in 12-well plate in presence or not of dDAVP 1,000 nM. Viable cells were counted every 24 h for 72 h using trypan blue dye exclusion. Doubling time was calculated during the last 3 days of the exponential growth phase.

Small Interfering RNA (siRNA)

To study the interaction of [V4Q5]dDAVP with V2r, we interfered the expression of the molecule. The sequences of siRNA for the sense and antisense strands were: for anti-V2r siRNA, sense 5′-GAGGAUGACGCUAGUGAUUTT-3′ and antisense 3′-TTCUCCUACUGCGAUCACUAA-5′; for control siRNA, sense 5′-CAGUCAGGAGGAUCCAAAGTT-3′ and antisense 3′-TTGUCAGUCCUCCUAGGUUUC-5′ (36). Synthetic oligonucleotides (Thermo Fisher Scientific Inc., USA) were annealed to form a short double-stranded RNA with a 3′-dithymidine overhang. On day 0, NCI-H82 and NCI-H125 cells were plated on 60 mm dishes, grown until approximately 50–60% confluency and then transfected with V2r siRNA or control siRNA using Lipofectamine 2000 (Thermo Fisher Scientific Inc., USA), following manufacturer’s instructions. After 4 days, cells were submitted to a second round of transfection under the same conditions. On day 3, 7.5 × 103 cells were plated in 96-well plates and then treated with different concentrations of [V4Q5]dDAVP for 72 h.

Clonogenic Assay

Cytostatic effects of dDAVP and [V4Q5]dDAVP on tumor cells were also examined at low-density cultures by the colony formation assay. 300 PC-3 cells/well were grown in complete medium in the presence of dDAVP or [V4Q5]dDAVP (100–1,500 nM). Complete medium with peptidic compounds was renewed after 72 h. Seven days after cell seeding, colonies of more than 30 cells were counted.

Migration Transwell® Assay

After on starvation, 3 × 105 NCI-H82 cells or 3 × 103 NCI-H125 cells were seeded into the Transwell® inserts with 8 µm pore in 24-transwell cell culture dishes (Corning, NY, USA) in serum-free medium. The lower chamber was filled with medium containing 10% FBS as chemoattractant. After 24 h incubation with dDAVP or [V4Q5]dDAVP at a final concentration of 1,000 nM, stationary cells were removed from the upper surface of the membranes with a cotton swab. Cells that migrated to the lower surface were fixed and stained with crystal violet. Migrating cells in five randomly selected fields were counted and normalized to control.

Wound Healing Migration Assay

Cell migration was measured using an in vitro wound healing assay as described by Segatori et al. (37). Briefly, “scratch” wounds were created by scraping confluent PC-3 monolayers with a sterile pipette tip. After 16 h incubation in RPMI 1640 supplemented with 10% FBS in the presence or absence of dDAVP or [V4Q5]dDAVP at a final concentration of 1,000 nM, cells were fixed and stained. Ten random micrographs per well were obtained and migration area was quantified using Image J. software (https://imagej.nih.gov/ij/). Wound-closure measurements were normalized to the maximum “scratch” area.

Mice

Specific pathogen-free 8-week-old male athymic N:NIH(S)-nu mice were purchased from UNLP (Universidad Nacional de La Plata, Buenos Aires, Argentina) and kept, five to eight mice per cage, in our animal house facility at the National University of Quilmes. Food and water were provided ad libitum, and general health status of the animals was monitored daily. All protocols were approved by the National University of Quilmes institutional Animal Care Committee.

Tumor Progression

To generate lung cancer xenografts, 1 × 105 NCI-H82 cells in 300 µl containing serum-free RPMI-1640 and Matrigel® (1:1 volume ratio) were injected subcutaneously in athymic mice. Tumor growth was measured daily with a caliper and tumor volume was calculated with the formula: 0.52 × width 2 × length. Tumor growth rates were also determined. Treatment started the cell inoculation day. A clinically relevant dose of dDAVP or [V4Q5]dDAVP (0.3 µg kg−1) was administered intravenously thrice a week (38). Animals in control group received saline vehicle. When control group reached a mean tumor volume of 1,300 mm3, animals from all experimental groups were sacrificed.

Statistical Analysis

Statistical significance was evaluated using Prism 6 statistical software (GraphPad, Inc., CA, USA). Results presented in this study are expressed as mean values ± SEM, mean values ± SD, or mean ± confidence interval (CI). The normal distribution of data was confirmed using the Shapiro–Wilk normality test and the homoscedasticity was determined with Bartlett’s test. For multiple comparisons between experimental groups one-way ANOVA (followed by Dunnett or Tukey posteriori test) or two-way ANOVA (followed by mean 95% CI comparison test) were performed. For repeated measures ANOVA, the Geisser–Greenhouse correction was used for assumption of sphericity.

Doubling time was calculated using the exponential growth equations and the fits were compared. Growth rates represent the slopes of the linear regression of the tumors volumes from day 17 to 25. Data correspond of at least three independent experiments. Significant levels were defined as p < 0.05.

Results

Expression of V2r in Lung and Prostate Cells

In order to confirm the expression of V2r in tumor cells, an immunofluorescence assay was conducted. As shown in Figure 1A, NCI-H82 and PC-3- cells express the V2r. NCI-H125 human non-small lung cancer cells are negative for V2r. MDA-MB-231, a cell line known to display AVP membrane receptors, was used as a positive control of V2r expression (32).

FIGURE 1
www.frontiersin.org

Figure 1. Expression of V2r by Immunofluorescence detection and of neuroendocrine (NE) markers by quantitative RT-PCR (qRT-PCR). (A) V2r expression was detected using a specific anti-V2r antibody and a secondary antibody labeled with FITC-conjugated goat anti-rabbit IgG. Nuclei were labeled with DAPI. Negative controls consisted of omission of the primary antibody and were consistently negative (Insets). NCI-H82 human small cell lung cancer cells and PC-3 human prostate cancer cells expressed the V2r. NCI-H125 human nSCLC cells were negative for the receptor. MDA-MB-231 human breast carcinoma cells were used as a positive control (original magnification ×1,000). (B) For expression of NE markers, chromogranin A and specific neuronal enolase expression levels were evaluated by qRT-PCR in NCI-H82 and PC-3 cells. Each sample was analyzed in triplicate and mean cycle threshold values (Ct) were used for further analysis. Ct values were normalized for GAPDH expression levels and expressed in relation to control samples (NCI-H125). Relative quantification values were calculated as 2−ΔΔCt. Results are expressed as mean ± SEM.

Expression of NE Markers in the Tumor Cell Models

Chromogranin A and NSE are the most commonly employed markers to determine NE characteristics, both at the tissue and in general circulation (39). In order to determine NE differentiation, the expression of NE markers, CgA and NSE, was evaluated by qRT-PCR. As shown in Figure 1B, qRT-PCR studies demonstrate that SCLC NCI-H82 and hormone-independent PC-3 cells express NE markers.

Cytostatic Effect of V2r Stimulation by dDAVP and [V4Q5]dDAVP in Lung and Prostate Cancer Cells

We evaluated the cytostatic effect of the parental peptide dDAVP (40) and the analog [V4Q5]dDAVP on log-phase growing lung and prostate cancer cells. After a 72 h exposure, both peptides significantly reduced proliferation in NCI-H82 and PC-3 tumor cell cultures. Additionally, we confirmed that V2r-negative NCI-H125 cells did not modify their proliferative behavior in response to these peptides (Figure 2A).

FIGURE 2
www.frontiersin.org

Figure 2. Antiproliferative effects of vasopressin analogs on lung and prostate cancer cells. Effect of desmopressin (dDAVP) and [V4Q5]dDAVP (100–1,000 nM) on log-phase growing cells was measured using the MTS or MTT assays. The optical density of control cells was considered as 100% viability. (A) Effect of dDAVP and [V4Q5]dDAVP (100–1,500 nM) on NCI-H82, PC-3, and NCI-H125 cells. Results are expressed as mean ± 95% confidence interval (CI). Two-way ANOVA followed by mean 95% CI comparison post hoc. *p < 0.05; **p < 0.01 (corresponding to each analog concentration vs. its control) # p < 0.05 (dDAVP concentration vs. same [V4Q5]dDAVP concentration). For doubling time calculation; viable cells were counted every 24 h for 72 h using trypan blue dye exclusion. Doubling time with and without dDAVP 1,000 nM treatment was calculated with the exponential phase of growth, control and treatment curves fit at 72 h were compared on each cell line. (B) Doubling time of NCI-H82 and PC-3 cells. Results are expressed as mean ± SEM of cells number at 72 h. Comparison of fits **p < 0.001.

In the NCI-H82 cell line, [V4Q5]dDAVP analog showed a higher cytostatic effect than dDAVP, at high (1,000 nM) as well as low (100 nM) concentrations, reducing cell proliferation by up to 40% (Figure 2A). In the PC-3 cell line, both peptides have similar antiproliferative effects reducing tumor cell growth by up to 15%.

To reconfirm the cytostatic effect of dDAVP on the studied cell lines, we evaluated doubling time with and without treatment (Figure 2B). The doubling time without treatment was 33 and 36 h in NCI-H82 and PC-3, respectively. DDAVP treatment increased the doubling time in both cell lines: 7 h in NCI-H82 and 6 h in PC-3. The comparison of fits was significate in both lines (NCI-H82 control cells doubling time: 33 h, R = 0.98; NCI-H82 dDAVP treatment cells doubling time: 40 h, R = 0.96; PC-3 control cells doubling time: 36 h, R = 0.92; PC-3 dDAVP treatment cells doubling time: 42 h, R = 0.93).

In order to complement high density proliferation assays, we studied the peptide ability to modify in vitro low density cell growth using a clonogenic growth assay (41).

Incubation with dDAVP and [V4Q5]dDAVP (100–1,500 nM) during 1 week significantly reduced the number of PC-3 tumor cell colonies showing a higher effect than the observed in proliferation assays using log-phase growing cells, inhibiting clonogenic growth by up to 30 or 40%, respectively (Figure 3).

FIGURE 3
www.frontiersin.org

Figure 3. Effect of vasopressin analogs on clonogenic growth of PC-3 cells. (A) Effect of desmopressin or [V4Q5]dDAVP treatment on clonogenic growth of PC-3 cells. Cells were seeded in 96-well plates and incubated with varying concentrations of compounds (100–1,500 nM) in complete medium for 7 days. Results are expressed as mean ± confidence interval 95%. Two-way ANOVA proved not significant for the interaction and the factor “analog” and significant for the factor “concentration.” Dunnett post hoc test corresponding to each analog concentration vs. its control; *p < 0.05; **p < 0.01. (B) Representative photographs of PC-3 colonies at different concentrations (original magnification ×40).

Silencing of V2r on Tumor Cell Lines

Additionally, to determined that [V4Q5]dDAVP acts by V2r, we interfered the expression of the molecule. V2r was depleted using siRNA on NCI-H82 and NCI-H125 cells. The silencing of V2r significantly attenuated the inhibitory effects of [V4Q5]dDAVP on cell proliferation compared to control siRNA-transfected NCI-H82 cells. The silencing had no effect on NCI-H125 (Figure 4), indicating that antiproliferative effect mainly results from V2r activation.

FIGURE 4
www.frontiersin.org

Figure 4. Silencing of V2r on NCI-H82 and PC-3 cells. NCI-H82 and NCI-H125 cells were transfected with V2r small interfering RNA (siRNA) or control siRNA using Lipofectamine 2000. On day 7, cells were plated in 96-well plates and then treated with different concentrations (100–1,500 nM) of [V4Q5]dDAVP for 72 h. Cell growth was measured by colorimetric MTT or MTS assay. (A) Effect of [V4Q5]dDAVP on V2r silenced NCI-H82 cells. (B) Effect of [V4Q5]dDAVP on V2r silenced NCI-H125 cells. Results are expressed as mean ± confidence interval 95%. Two-way ANOVA followed by mean 95% confidence interval comparison post hoc **p < 0.01.

Effect of dDAVP and [V4Q5]dDAVP on Tumor Cell Motility

In vitro treatment at 1,000 nM concentration of both studied peptidic analogs decreased tumor cell migration by 60–70% in NCI-H82 (Figure 5A) and 30–40% in PC3 (Figures 5C,D), tumor cells using Transwell® and wound assays, respectively. DDAVP and [V4Q5]dDAVP did not affect migratory capacity of V2r-negative NCI-H125 cells (Figure 5B).

FIGURE 5
www.frontiersin.org

Figure 5. Effect of desmopressin (dDAVP) and [V4Q5]dDAVP on lung and prostate cancer cells migration. NCI-H82 cells or NCI-H125 cells were starved and were added to the top chambers of 24-well Transwell® permeable support with 8 µm pore in serum-free medium. The lower chamber was filled with medium containing 10% fetal bovine serum and dDAVP or [V4Q5]dDAVP at a final concentration of 1,000 nM. After incubating for 24 h, migrated cells on the bottom of the insert were stained with crystal violet (NCI-H125) or counted in Neubauer chamber (NCI-H82 cells). The number of migrating cells randomly selected in five fields was counted. Migration of PC-3 cells was measured using wound-healing assay. Wounds were created by scraping confluent PC-3 monolayers. After 16 h incubation in the presence or absence of dDAVP or [V4Q5]dDAVP at a final concentration of 1,000 nM, cells were fixed and stained. Wounds were quantified using Image J. software. Wound closure measurements were normalized to the maximum scratch area. (A) Effect of dDAVP and [V4Q5]dDAVP on Transwell® migration of NCI-H82. (B) Effect of dDAVP and [V4Q5]dDAVP on Transwell® migration of NCI-H125. (C) Effect of dDAVP and [V4Q5]dDAVP on wound migration of PC-3. (D) Representative microphotographs of PC-3 cells wound migration. Results are expressed as mean ± SEM One-way ANOVA followed by Tukey post hoc test. **p < 0.01; ***p < 0.001.

Regulation of NE Markers in Tumor Cells by dDAVP Treatment

As previously shown, NCI-H82 and PC-3 cells express high levels of NE markers with clinical relevance. In order to evaluate if dDAVP by V2r has the capacity of modulating NE markers level expression, transcript levels in tumor cells were measures by qRT-PCR after ON incubation with 1,000 nM of dDAVP. As shown in Figure 6, the expression of NE markers was dramatically reduced after treatment by 90% for NSE and 80% for CgA on NCI-H82 cells and by 80% for NSE and 95% for CgA on PC-3 cells (Figure 6).

FIGURE 6
www.frontiersin.org

Figure 6. Modulation of neuroendocrine markers in lung and prostate cancer cells by desmopressin (dDAVP) treatment. The relative mRNA expression of specific neuronal enolase (NSE) and chromogranin A (CgA) was evaluated by quantitative RT-PCR in NCI-H82 and PC-3 cells incubated with 1,000 nM of dDAVP as described in the Figure 1. Quantification relative CgA and NSE in (A) NCI H82 cells and (B) PC-3 cells.

Effect of dDAVP and [V4Q5]dDAVP on Xenograft Tumor Progression

Finally, we explored the effect of dDAVP and [V4Q5]dDAVP in NCI-H82 xenograft growth in nude mice. Briefly, mice received thrice a week intravenous doses of the analogs (0.3 µg kg−1) after tumor confirmation by palpation. Treatment for 25 days with both peptide analogs significantly reduced final tumor volume by 40% in comparison vehicle-treated group (Figures 7A,B). Tumor growth rates (from day 17 to 25) were also reduced by about 35% after dDAVP or [V4Q5]dDAVP treatment (rates growth: control:132.4 ± 14.64; dDAVP: 86.8 ± 8.37; [V4Q5]dDAVP: 86.54 ± 11.73). Rates growth expressed as slope ± SD.

FIGURE 7
www.frontiersin.org

Figure 7. Effect of treatment of desmopressin (dDAVP) and [V4Q5]dDAVP on tumor growth of lung cancer xenografts. (A) NCI-H82 tumor volume in mice receiving saline vehicle (control) or 0.3 μg kg−1 of dDAVP or [V4Q5]dDAVP over time. To generate lung cancer xenografts, NCI-H82 cells and Matrigel® were injected subcutaneously in athymic mice. Tumors were measured daily with a caliper and tumor volume was calculated. dDAVP or [V4Q5]dDAVP were administered intravenously thrice a week. When the control group reached a mean tumor volume of 1,300 mm3, animals were sacrificed. Results are expressed as mean ± SEM Repeated measures ANOVA test followed by Tukey post hoc test ***p < 0.001. (B) Comparison of tumor volume at day 25. Results are expressed as mean ± SD. One-way ANOVA followed by Dunnett post (**p < 0.01; ***p < 0.001).

Discussion

The participation of neuropeptides in tumor growth, particularly in NETs, has always been object of study with the aim of discovering mechanisms involved in cancer progression and new therapeutic targets. NETs are a heterogeneous group of tumors with different characteristics. These tumors are, generally, aggressive and resistant to current therapies. Although NETs are rare, these have been increasing in incidence. Symptoms are often non-specific and do not necessarily lead to the identification of the specific lend themselves to identifying the specific underlying tumor. The NETs cells were characterized by the expression of markers such as neuropeptides. These circulating markers from specific tumor types can be used for diagnostic and prognostic information of NETs (40). The expression of AVP receptors on several types of tumors like SCLC and breast cancer highlights the multifaceted role of AVP, such as predicted by North et al. (1720). Additionally, it was recently reported that different AVP receptors are expressed throughout the gastrointestinal tract tumors, including colon and pancreas, with interesting pathophysiological implications (14, 15). Unlike V1ar and V1br, V2r is associated with antiproliferative signaling, involving activation of adenylate cyclase followed by intracellular cAMP elevation (41). Increases in cAMP levels using cAMP analogs or cAMP elevating agents such as forskolin or different hormone derivatives can trigger cell cycle arrest at G1 phase and induce apoptosis in numerous cancer cell types, suppressing tumor growth. These antiproliferative effects are mediated by PKA and correlated with the increase of cell cycle inhibitor p27kip1 and the decrease of antiapopotic bcl2 protein levels in MDA-MB-231 cells. Proliferative signal transmission through the Ras/Raf/ERK pathway is blocked by the elevation of cellular cAMP levels mainly via PKA-mediated Raf inhibition (42, 43). We have demonstrated that the treatment with [V4Q5]dDAVP resulted in partial arrest of MDA-MB-231 cells in G0/G1 phase (32), further studies on apoptosis are needed.

Because stimulation of this pathway can trigger deleterious effects on cancer cells (23), compound like dDAVP which specifically activate V2r, have a potential role as anticancer agents (44, 45). dDAVP has demonstrated to display antitumor properties in breast and colorectal cancer, showing an angiostatic and antimetastatic effect, disrupting cooperative interactions of tumor and endothelial cells during tumor progression (28, 30).

[V4Q5]dDAVP was selected from a panel of peptidic analogs derivatized from dDAVP with different structural modifications (31). Novel compound [V4Q5]dDAVP exhibited a significantly higher cytostatic, angiostatic, and antimetastatic effects against breast cancer cells than the parental compound (32, 33).

In this work, we examined the impact of selective stimulation of V2r on key cellular events related to tumor progression through the use of the two analogs V2r agonists, dDAVP and [V4Q5]dDAVP, of the neuropeptide AVP, on lung and prostate tumor lines with NE phenotypes. NCI-H82 and PC-3 cancer cells are highly aggressive human cell lines which, as we show in the present study, express high levels of NE markers NSE and CgA as well as the AVP receptor V2. DDAVP and [V4Q5]dDAVP significantly reduced proliferation, doubling time, and migration in both tumor cell cultures. [V4Q5]dDAVP analog showed a higher cytostatic effect than dDAVP, both at low and high concentrations, obtaining a maximum inhibition of 40% on cellular proliferation in the NCI-H82 cell line. As early exposed, activation of V2r signaling involves an increase in cAMP levels. It has been described that stimulation of cAMP/PKA pathway result in inhibition of cell migration in different cancer cell (46, 47). In lung cancer cells, migration inhibition was also greater with [V4Q5]dDAVP than with parental peptide reducing cell motility by 64 and 50%, respectively, although this difference was not statistically significant.

Antitumor profile of dDAVP on PC-3 cells was similar to that obtained in a study by Sasaki et al., where they reported the antiproliferative and anti-invasive ability of dDAVP on prostate cancer cells related to antiproliferative and antimigratory ability (48). Interestingly, [V4Q5]dDAVP was not better than dDAVP in the PC-3 model and this difference could be related to the characteristics of the cell line.

It has been reported that, under certain culture conditions, only some subpopulation of PC-3 cells undergo NE transdifferentiation. In this highly heterogeneous cell line, it may be possible that only a fraction of the total cell population express NE markers or V2r. In the latter, inhibition of cell growth by V2r agonists may be subtle and differences between analogs may be more difficult to assess (49).

For this reason, we, additionally, studied peptides ability to modify in vitro low density cell growth using a clonogenic growth assay. This method complemented MTT assay, because the conditions are most limiting, and thus, this assay is better for the evaluation of new anticancer agents (50). The inhibitory effect of both analogs was higher than the observed in proliferation assays using log-phase growing cells and [V4Q5]dDAVP analog showed a major cytostatic effect than dDAVP inhibiting up to 40% of cell growth at high concentrations, although this difference was not statistically significate.

We also showed that [V4Q5]dDAVP acts via V2r. The silencing of V2r significantly attenuated the inhibitory effects of [V4Q5]dDAVP on cell proliferation. This result complements the already reported findings by our group, where chemical V2r blockade by the selective antagonist tolvaptan completely abolished [V4Q5]dDAVP effects in MDA-MB-231 breast cancer cells (32) and, also, the findings by Keegan et al. (23), where the use of satavaptan (another non-peptidic V2r antagonist) blocked the mild cytostatic effects of dDAVP on human breast cancer cells.

Neuroendocrine differentiation of tumors is related with the transition from cancer cells with epithelial features to cells with invasive and metastatic phenotypes (51). Interestingly, after dDAVP treatment, expression of both NE markers studied was reduced on lung and prostate cancer cell lines. In prostate cancer, transition from primarily androgen-dependent tumor toward a hormone-independent tumor represents an unfavorable prognosis. NE transdifferentiation is fundamental in this process and contributes to tumor progression and hormone resistance (52, 53). Additionally, in lung cancer, transformation from nSCLC to SCLC was associated with poor treatment response and rise of NSE in serum (8, 54). A reduction of the expression of NE markers could indicate NE dedifferentiation. In cancer patients, elevated CgA and NSE levels correlates with tumor burden, number of dissemination sites, and lack of clinical response, while a decrease of these biomarkers might indicate a better prognosis (55). dDAVP capacity to modulate NE markers in different tumor types constitutes an interesting and important contribution for further studies.

Finally, we explored the in vivo effect of dDAVP and [V4Q5]dDAVP on NCI-H82 SCLC xenografts. Intravenous injection of clinically relevant doses of both analogs provoked an important reduction of subcutaneous tumor volume compared to control group. According to the in vitro effect observed, treated tumors grew at a 35% slower rate in comparison to vehicle-treated animals. In these experimental conditions, [V4Q5]dDAVP analog did not show a higher effect than the parental peptide dDAVP. [V4Q5]dDAVP analog has displayed a more potent activity in vivo in several models of breast cancer compared to parental drug. There is a probability that aggressive tumors as SCLC with an extremely fast expansion and rate of growth demand a higher dose to show differences between compounds. These results are preliminaries and require further studies in vivo, mainly, of dose evaluation to conclude.

NCI-H82 represents a valuable disease model of recurrent and drug-resistant NE SCLC (8). This is the first time that the efficacy of these synthetic analogs of AVP as antitumor agents on SCLC is demonstrated. Nowadays, targeted therapies like interferon, SSA, and VEGF and mTOR inhibitors became an integral part of therapies for NE tumors, particularly for well-differentiated and slow-growing gastroenteropancreatic tumors while chemotherapy is reserved for poorly differentiated and progressive tumors. Successful treatment of disseminated NETs requires a multimodal approach where radical tumor surgery may be curative but is rarely possible (56).

Selective compounds like dDAVP and [V4Q5]dDAVP, which trigger specific biological actions through V2r, modulating tumor growth with low toxicity represent interesting candidates as antitumors agents.

In this work, we demonstrated that the specific agonists of V2r, dDAVP, and [V4Q5]dDAVP display antitumor capacity on different human models of lung and prostate cancers with NE features. Elucidation of the mechanism involved in the signaling pathway of V2r is not complete, but further investigation is needed. Our findings show the potential benefit of these compounds on aggressive tumors NE phenotypes.

Author Contributions

MP, DA, and GR contributed to the conception and design of research; MP, JG, CC, and NG performed experiments; MP, JG, DA, and GR acquired, analyzed, and interpreted the data; MP prepared figures; MP and GR participated in the writing and revision of the manuscript; MP, JG, DA, and GR drafted, edited, revised critically, and approved final version of manuscript. All authors read and approved the final version of manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The reviewer GR and handling Editor declared their shared affiliation, and the handling Editor states that the process nevertheless met the standards of a fair and objective review.

Acknowledgments

MP, CC, and NG are doctoral researches fellows, JG is a postdoctoral research fellow, GR and DA are members of the National Research Council (CONICET, Argentina). The authors gratefully acknowledge the assistance of Romina Armando and Diego Mengual Gomez for help with conducted Real-time PCR’s and the contribution of Marina Albertó to the revision of English. This is a short text to acknowledge the contributions of specific colleagues, institutions, or agencies that aided the efforts of the authors.

Funding

This work was supported by the National Agency for the Promotion of Science and Technology (ANPCYT, Argentina, grant Prestamo BID PICT 2013 No. 1772 to DA) and the National University of Quilmes (grant 53/1004 to DA).

References

1. Petit T, Davidson KK, Lawrence RA, von Hoff DD, Izbicka E. Neuropeptide receptor status in human tumor cell lines. Anticancer Drugs (2001) 12:133–6. doi: 10.1097/00001813-200102000-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Haesly L. Autocrine and paracrine signaling through neuropeptide receptors in human cancer. Oncogene (2001) 20:1563–9. doi:10.1038/sj.onc.1204183

CrossRef Full Text | Google Scholar

3. Li ZJ, Cho CH. Neurotransmitters, more than meets the eye – neurotransmitters and their perspectives in cancer development and therapy. Eu J Pharmacol (2011) 667(1):17–22. doi:10.1016/j.ejphar.2011.05.077

CrossRef Full Text | Google Scholar

4. Lamberts SW, Hofland LJ, Nobels FR. Neuroendocrine tumor markers. Front Neuroendocrinol (2001) 22(4):309–39. doi:10.1006/frne.2001.0218

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Prestifilippo A, Blanco G, Vitale MP, Giuffrida D. Chromogranin A and neuroendocrine tumors. In: Lowell A, editor. Neuroendocrine Tumor. Croatia: InTech (2012). p. 11–7.

Google Scholar

6. Burgio SL, Conteduca V, Menna C, Carretta E, Rossi L, Bianchi E, et al. Chromogranin A predicts outcome in prostate cancer patients treated with abiraterone. Endocr Relat Cancer (2014) 21(3):487–93. doi:10.1530/ERC-14-0071

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Isgrò MA, Bottoni P, Scatena R. Neuron-specific enolase as a biomarker: biochemical and clinical aspects. In: Scatena R, editor. Advances in Cancer Biomarkers. Netherlands: Springer (2015). p. 125–43.

Google Scholar

8. Gazdar AF, Carney DN, Nau MM, Minna JD. Characterization of variant subclasses of cell lines derived from small cell lung cancer having distinctive biochemical, morphological, and growth properties. Cancer Res (1985) 45:2924–30.

PubMed Abstract | Google Scholar

9. Conteduca V, Burgio SL, Menna C, Carretta E, Rossi L, Bianchi E, et al. Chromogranin A is a potential prognostic marker in prostate cancer patients treated with enzalutamide. Prostate (2014) 74(16):1691–6. doi:10.1002/pros.22890

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Zhang Y, Li XY, Tang Y, Xu Y, Guo WH, Li YC, et al. Rapid increase of serum neuron specific enolase level and tachyphylaxis of EGFR-tyrosine kinase inhibitor indicate small cell lung cancer transformation from EGFR positive lung adenocarcinoma? Lung Cancer (2013) 81(2):302–5. doi:10.1016/j.lungcan.2013.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Keskin O, Yalcin S. A review of the use of somatostatin analogs in oncology. Onco Targets Ther (2013) 6:471. doi:10.2147/OTT.S39987

CrossRef Full Text | Google Scholar

12. Baldelli R, Barnabei A, Rizza L, Isidori AM, Rota F, Di Giacinto P, et al. Somatostatin analogs therapy in gastroenteropancreatic neuroendocrine tumors: current aspects and new perspectives. Front Endocrinol (2014) 5:7. doi:10.3389/fendo.2014.00007

CrossRef Full Text | Google Scholar

13. Mavani GP, DeVita MV, Michelis MF. A review of the nonpressor and nonantidiuretic actions of the hormone vasopressin. Front Med (2015) 2:19. doi:10.3389/fmed.2015.00019

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Monstein HJ, Truedsson M, Ryberg A, Ohlsson B. Vasopressin receptor mRNA expression in the human gastrointestinal tract. Eur Surg Res (2008) 40(1):34–40. doi:10.1159/000108655

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Koshimizu TA, Nakamura K, Egashira N, Hiroyama M, Nonoguchi H, Tanoue A. Vasopressin V1a and V1b receptors: from molecules to physiological systems. Physiol Rev (2012) 92(4):1813–64. doi:10.1152/physrev.00035.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kaufmann JE, Vischer UM. Cellular mechanisms of the hemostatic effects of demopressin (DDAVP). J Thromb Haemost (2003) 1:6682–9. doi:10.1046/j.1538-7836.2003.00190.x

CrossRef Full Text | Google Scholar

17. North WG, Maurer LH, O’Donnell JF. The neurophysins and small cell lung cancer. In: Greco FA, editor. Biology and management of lung cancer. USA: Springer (1983). p. 143–69.

Google Scholar

18. North WG, Fay MJ, Longo KA, Du J. Expression of all known vasopressin receptor subtypes by small cell tumors implies a multifaceted role for this neuropeptide. Cancer Res (1998) 58:1866–71.

PubMed Abstract | Google Scholar

19. North WG, Fay MJ, Du J. MCF-7 breast cancer cells express normal forms of all vasopressin receptors plus an abnormal V2R. Peptides (1999) 20(7):837–42. doi:10.1016/S0196-9781(99)00070-4

PubMed Abstract | CrossRef Full Text | Google Scholar

20. North WG. Gene regulation of vasopressin and vasopressin receptors in cancer. Exp Physiol (2000) 85:27S–40S. doi:10.1111/j.1469-445X.2000.tb00005.x

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Yamazaki T, Suzuki H, Tobe T, Sekita N, Kito H, Ichikawa T, et al. Prostate adenocarcinoma producing syndrome of inappropriate secretion of antidiuretic hormone. Int J Urol (2001) 8(9):513–6. doi:10.1046/j.1442-2042.2001.00362.x

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Jaal J, Jõgi T, Altraja A. Small cell lung cancer patient with profound hyponatremia and acute neurological symptoms: an effective treatment with fludrocortisone. Case Rep Oncol Med (2015) 286029:1–4. doi:10.1155/2015/286029

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Keegan BP, Akerman BL, Péqueux C, North WG. Provasopressin expression by breast cancer cells: implications for growth and novel treatment strategies. Breast Cancer Res Treat (2006) 95(3):265–77. doi:10.1007/s10549-005-9024-8

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Manning M, Misicka A, Olma A, Bankowski K, Stoev S, Chini B, et al. Oxytocin and vasopressin agonists and antagonists as research tools and potential therapeutics. J Neuroendocrinol (2012) 24(4):609–28. doi:10.1111/j.1365-2826.2012.02303.x

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Ripoll GV, Giron S, Krzymuski MJ, Hermo GA, Gomez DE, Alonso DF. Antitumor effects of desmopressin in combination with chemotherapeutic agents in a mouse model of breast cancer. Anticancer Res (2008) 28(5A):2607–11.

PubMed Abstract | Google Scholar

26. Ripoll GV, Garona J, Hermo GA, Gomez DE, Alonso DF. Effects of the synthetic vasopressin analog desmopressin in a mouse model of colon cancer. Anticancer Res (2010) 30(12):5049–54.

PubMed Abstract | Google Scholar

27. Giron S, Tejera AM, Ripoll GV, Gomez DE, Alonso DF. Desmopressin inhibits lung and lymph node metastasis in a mouse mammary carcinoma model of surgical manipulation. J Surg Oncol (2002) 81:38–44. doi:10.1002/jso.10141

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Ripoll GV, Garona J, Pifano M, Farina HG, Gomez DE, Alonso DF. Reduction of tumor angiogenesis induced by desmopressin in a breast cancer model. Breast Cancer Res Treat (2013) 142:9–18. doi:10.1007/s10549-013-2724-6

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Pastrian MB, Guzmán F, Garona J, Pifano M, Ripoll GV, Cascone O, et al. Structure activity relationship of 1 desamino 8 d arginine vasopressin as an antiproliferative agent on human vasopressin V2 receptor expressing cancer cells. Mol Med Rep (2014) 9(6):2568–72. doi:10.3892/mmr.2014.2140

CrossRef Full Text | Google Scholar

30. Garona J, Alonso DF. Reciprocal interactions between tumor and endothelial cells: effects of selective vasopressin V2 receptor peptide agonists. Cancer Cell Microenviron (2014) 1:1–5. doi:10.14800/ccm.23

CrossRef Full Text | Google Scholar

31. Iannucci NB, Ripoll GV, Garona J, Cascone O, Ciccia GN, Gomez DE, et al. Antiproliferative effect of 1-deamino-8-d-arginine vasopressin analogs on human breast cancer cells. Future Med Chem (2011) 3(16):1987–93. doi:10.4155/fmc.11.152

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Garona J, Pifano M, Orlando UD, Pastrian MB, Iannucci NB, Ortega HH, et al. The novel desmopressin analogue [V4Q5] dDAVP inhibits angiogenesis, tumor growth and metastases in vasopressin type 2 receptor-expressing breast cancer models. Int J Oncol (2015) 46(6):2335–45. doi:10.3892/ijo.2015.2952

CrossRef Full Text | Google Scholar

33. Garona J, Pifano M, Pastrian MB, Gomez DE, Ripoll GV, Alonso DF. Addition of vasopressin synthetic analogue [V4Q5] dDAVP to standard chemotherapy enhances tumour growth inhibition and impairs metastatic spread in aggressive breast tumour models. Clin Exp Metastasis (2016) 33(6):589–600. doi:10.1007/s10585-016-9799-5

CrossRef Full Text | Google Scholar

34. Tai S, Sun Y, Squires JM, Zhang H, Oh WK, Liang CZ, et al. PC3 is a cell line characteristic of prostatic small cell carcinoma. Prostate (2011) 71(15):1668–79. doi:10.1002/pros.21383

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Ring AE, Zabaglo L, Ormerod MG, Smith IE, Dowsett M. Detection of circulating epithelial cells in the blood of patients with breast cancer: comparison of three techniques. Br J Cancer (2005) 92(5):906–12. doi:10.1038/sj.bjc.6602418

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Pillé JY, Denoyelle C, Varet J, Bertrand JR, Soria J, Opolon P, et al. Anti-RhoA and anti-RhoCsiRNAs inhibit the proliferation and invasiveness of MDA-MB-231 breast cancer cells in vitro and in vivo. Mol Ther (2005) 11(2):267–74. doi:10.1016/j.ymthe.2004.08.029

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Segatori VI, Otero LL, Fernandez LE, Gomez DE, Alonso DF, Gabri MR. Antitumor protection by NGcGM3/VSSP vaccine against transfected B16 mouse melanoma cells overexpressing N-glycolylatedgangliosides. In Vivo (2012) 26(4):609–17.

PubMed Abstract | Google Scholar

38. Garona J, Pifano M, Scursoni AM, Gomez DE, Alonso DF, Ripoll GV. Insight into the effect of the vasopressin analog desmopressin on lung colonization by mammary carcinoma cells in BALB/c mice. Anticancer Res (2014) 34:4761–5.

PubMed Abstract | Google Scholar

39. Rossi RE, Garcia-Hernandez J, Meyer T, Thirlwell C, Watkins J, Martin NG, et al. Chromogranin A as a predictor of radiological disease progression in neuroendocrine tumors. Ann Transl Med (2015) 3(9):118. doi:10.3978/j.issn.2305-5839.2015.04.23

CrossRef Full Text | Google Scholar

40. Razzore P, Arnaldi G. Circulating neuroendocrine tumors biomarkers. Why? When? How? Suggestions for clinical practice from guidelines and consensus. J Cancer Metastasis Treat (2016) 2(S.l.):n. 8, 348–56. doi:10.20517/2394-4722.2016.39

CrossRef Full Text | Google Scholar

41. Taylor AH, Ang VT, Jenkins JS, Silverlight JJ, Coombes RC, Luqmani YA. Interaction of vasopressin and oxytocin with human breast carcinoma cells. Cancer Res (1990) 50(24):7882–6.

PubMed Abstract | Google Scholar

42. Carie AE, Sebti SM. A chemical biology approach identifies a beta-2 adrenergic receptor agonist that causes human tumor regression by blocking the Raf-1/Mek-1/Erk1/2 pathway. Oncogene (2007) 26:3777–88. doi:10.1038/sj.onc.1210172

CrossRef Full Text | Google Scholar

43. Naviglio S, Di Gesto D, Romano M, Sorrentino A, Illiano F, Sorvillo L, et al. Leptin enhances growth inhibition by cAMP elevating agents through apoptosis of MDA-MB-231 breast cancer cells. Cancer Biol Ther (2009) 8:1183–90. doi:10.4161/cbt.8.12.8562

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Cotte N, Balestre MN, Phalipou S, Hibert M, Manning M, Barberis C, et al. Identification of residues responsible for the selective binding of peptide antagonists and agonists in the V2 vasopressin receptor. J Biol Chem (1998) 273(45):29462–8. doi:10.1074/jbc.273.45.29462

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Takahashi K, Makita N, Manaka K, Hisano M, Akioka Y, Miura K, et al. V2 vasopressin receptor (V2R) mutations in partial nephrogenic diabetes insipidus highlight protean agonism of V2R antagonists. J Biol Chem (2012) 287(3):2099–106. doi:10.1074/jbc.M111.268797

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Dong H, Claffey KP, Brocke S, Epstein PM. Inhibition of breast cancer cell migration by activation of cAMP signaling. Breast Cancer Res Treat (2015) 152(1):17–28. doi:10.1007/s10549-015-3445-9

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Ou Y, Zheng X, Gao Y, Shu M, Leng T, Li Y, et al. Activation of cyclic AMP/PKA pathway inhibits bladder cancer cell invasion by targeting MAP4-dependent microtubule dynamics. Urol Oncol (2014) 32(1):47. doi:10.1016/j.urolonc.2013.06.017

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Sasaki H, Klotz LH, Sugar LM, Kiss A, Venkateswaran V. A combination of desmopressin and docetaxel inhibit cell proliferation and invasion mediated by urokinase-type plasminogen activator (uPA) in human prostate cancer cells. Biochem Biophys Res Commun (2015) 464(3):848–54. doi:10.1016/j.bbrc.2015.07.050

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Yuan TC, Veeramani S, Lin MF. Neuroendocrine-like prostate cancer cells: neuroendocrine transdifferentiation of prostate adenocarcinoma cells. Endocr Relat Cancer (2007) 14(3):531–47. doi:10.1677/ERC-07-0061

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Zips D, Thames HD, Baumann M. New anticancer agents: in vitro and in vivo evaluation. In Vivo (2005) 19(1):1–7.

PubMed Abstract | Google Scholar

51. Marcu M, Radu E, Sajin M. Neuroendocrine transdifferentiation of prostate carcinoma cells and its prognostic significance. Rom J Morphol Embryol (2010) 51(1):7–12.

PubMed Abstract | Google Scholar

52. Vashchenko N, Abrahamsson PA. Neuroendocrine differentiation in prostate cancer: implications for new treatment modalities. Eur Urol (2005) 47(2):147–55. doi:10.1016/j.eururo.2004.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Terry S, Beltran H. The many faces of neuroendocrine differentiation in prostate cancer progression. Front Oncol (2014) 4:60. doi:10.3389/fonc.2014.00060

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Oser MG, Niederst MJ, Sequist LV, Engelman JA. Transformation from non-small-cell lung cancer to small-cell lung cancer: molecular drivers and cells of origin. Lancet Oncol (2015) 16(4):e165–72. doi:10.1016/S1470-2045(14)71180-5

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Berruti A, Bollito E, Cracco CM, Volante M, Ciccone G, Porpiglia F, et al. The prognostic role of immunohistochemical chromogranin A expression in prostate cancer patients is significantly modified by androgen-deprivation therapy. Prostate (2010) 70(7):718–26. doi:10.1002/pros.21104

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Kaltsas GA, Besser GM, Grossman AB. The diagnosis and medical management of advanced neuroendocrine tumors. Endocr Rev (2004) 25(3):458–511. doi:10.1210/er.2003-0014

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: neuroendocrine tumors, vasopressin analogs, V2r, antitumor, SCLC, prostate cancer

Citation: Pifano M, Garona J, Capobianco CS, Gonzalez N, Alonso DF and Ripoll GV (2017) Peptide Agonists of Vasopressin V2 Receptor Reduce Expression of Neuroendocrine Markers and Tumor Growth in Human Lung and Prostate Tumor Cells. Front. Oncol. 7:11. doi: 10.3389/fonc.2017.00011

Received: 31 October 2016; Accepted: 11 January 2017;
Published: 30 January 2017

Edited by:

Giovanni Li Volti, University of Catania, Italy

Reviewed by:

Daniel Christian Hoessli, International Center for Chemical and Biological Sciences (ICCBS), Switzerland
Giorgio I. Russo, University of Catania, Italy

Copyright: © 2017 Pifano, Garona, Capobianco, Gonzalez, Alonso and Ripoll. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Giselle V. Ripoll, Z3JpcG9sbCYjeDAwMDQwO2dtYWlsLmNvbQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.