Abstract
Targeting Nampt/PBEF/visfatin is considered a promising anticancer strategy, yet little is known about its association with colorectal cancer (CRC). We quantified Nampt/PBEF/visfatin expression in bowel and blood (mRNA and protein), referring it to CRC advancement and inflammatory, angiogenic, hypoxia, and proliferation indices. Tumor Nampt/PBEF/visfatin upregulation was associated with metastasis, anemia, tumor location, HIF1α, and inflammatory and angiogenic indices, of which HIF1α, IL1β, and anemia explained 70% in Nampt/PBEF/visfatin variability. Nampt/PBEF/visfatin expression in nontumor tissue, both mRNA and protein, increased in patients with metastatic disease and mild anemia, and, on transcriptional level, correlated with HIF1α, IL1β, IL8, CCL2, and CCL4 expression. Whole blood Nampt/PBEF/visfatin tended to be elevated in patients with metastatic cancer or anemia and correlated with inflammatory indices, of which IL1β, IL8, and hematocrit explained 60% of its variability. Circulating visfatin was associated with lymph node metastasis and inflammatory and angiogenic indices. In vitro experiments on SW620 cells demonstrated Nampt/PBEF/visfatin downregulation in response to serum withdrawal but its upregulation in response to serum induction and hypoxia. Stimulation with recombinant visfatin did not provide growth advantage. Summarizing, our results link Nampt/PBEF/visfatin with tumor metastatic potential and point at inflammation and hypoxia as key inducers of its upregulation in CRC.
1. Introduction
Nicotinamide phosphoribosyltransferase (Nampt)/pre-B-cell colony enhancing factor (PBEF)/visfatin is gaining attention as a target of novel anticancer therapies. However, its exact role in physiology and disease and the mechanisms underlying Nampt/PBEF/visfatin actions remain to be clarified. Up to date, the best established one is that of an intracellular enzyme (iNampt) in bioenergetics, cellular metabolism, and DNA repair. As a rate-limiting enzyme in the salvage pathway of NAD biosynthesis from nicotinamide, iNampt is a key regulator of NAD utilizing enzymes, namely, dehydrogenases, sirtuins, poly(ADP-ribose) polymerases, and mono-ADP-ribosyl transferases. In turn, its extracellular form (eNampt) is a cytokine/growth factor displaying hematopoietic, immunomodulating, proinflammatory, angiogenic, chemotactic, and antiapoptotic properties. As a visfatin secreted mainly by visceral fat, it has been claimed to function as an insulin-mimetic hormone [1–3]. Despite the controversies around Nampt/PBEF/visfatin, its key inhibitors, APO866 and GMX1778, have already entered clinical trials as anticancer agents [2, 3]. However, considering diversity of biological processes in which Nampt/PBEF/visfatin might be implicated, discerning its exact role in pathomechanisms of a variety of diseases prior to devising Nampt/PBEF/visfatin-targeting strategies ought to be priority if serious side-effects are to be avoided. The need is emphasized by the recent discovery of Pittelli et al. [4] showing that Nampt/PBEF/visfatin activity is necessary not only for activated but also for resting lymphocytes and its inhibition results in their apoptosis.
Both circulating levels and tissue expression of Nampt/PBEF/visfatin have been demonstrated to be upregulated in cancer, in which Nampt/PBEF/visfatin is believed to contribute to the disease progression by inducing proliferation, survival, and angiogenesis [2]. Although colorectal cancer (CRC) remains one of the commonest cancers worldwide, data on Nampt/PBEF/visfatin expression in CRC are surprisingly scanty. Comparing tissue from rectal adenocarcinoma (stage III) with adjacent nonneoplastic mucosa from a single patient, Hufton et al. [5] were first to demonstrate Nampt/PBEF/visfatin overexpression in cancer. Nampt/PBEF/visfatin upregulation in CRC has been further confirmed both on transcriptional and protein level in 6 out of 8 investigated samples [6] and the possible relevance for cancer progression has been hinted but not explored. Circulating visfatin has been investigated as well and its association with CRC advancement has been initially reported [7] but not confirmed [8, 9]. Although activated leukocytes are well known sources of Nampt/PBEF/visfatin [10], its status in leukocytes of CRC patients is unknown. Hence, the aim of this study was to evaluate tissue and whole blood expression of Nampt/PBEF/visfatin in reference to the disease advancement and to identify factors that might be involved in its upregulation in order to gain insights into the potential role of Nampt/PBEF/visfatin in CRC.
2. Materials and Methods
2.1. Patients
For Nampt/PBEF/visfatin transcriptional analysis, 51 CRC patients admitted to Gastrointestinal and General Surgery Department of Wroclaw Medical University or Lower Silesian Oncology Center for Curative Resection were enrolled. Pairs of bowel tissue, derived from adenocarcinomas and resection margin (histopathologically confirmed to be tumor-free), were collected, soaked in RNAlater (Ambion, USA), and stored at −80°C.
Whole blood samples (3 mL) were collected prior to any treatment from 36 CRC patients into PAXgene Blood RNA Tubes. 54 whole blood samples from patients with polyps, nonactive inflammatory bowel disease, or irritable bowel syndrome from of Gastroenterology and Hepatology Department served as noncancer controls.
Characteristics of study population are given in Tables 1 and 2. There was significant (p < 0.001) difference in age distribution between CRC patients and controls (Table 2). However, Nampt/PBEF/visfatin did not correlate with age either in a whole cohort (r = 0, p = 0.988) or in CRC (r = 0, p = 0.992) or control (r = 0.20, p = 0.154) groups.
Table 1.
Parameter | N | Nampt/PBEF/visfatin | Ratio T/N | |
---|---|---|---|---|
Tumor tissue | Nontumor tissue | |||
Sex distribution, F/M ratio | 17/35 | |||
Age, median (range) | 68 yrs (33–91) | |||
Disease stage: | ||||
I | 10 | 0.973 (0.74–1.27)e | 0.475 (0.32–0.72)c,d,e | 2.1 (1.4–3.1)f |
II | 20 | 1.270 (0.83–1.95)a | 0.903 (0.63–1.29)b,d,e | 1.4 (1-2)f |
III | 16 | 1.133 (0.85–1.52)a,e | 0.743 (0.52–1.06)b,c,e | 1.5 (1.3–1.9)f |
IV | 5 | 3.074 (0.95–9.90)a,b,d | 1.615 (0.65–3.99)b,c,d | 1.9 (0.8–4.6) |
Local advancement (T): | ||||
T2 | 13 | 1.217 (0.88–1.69)a | 0.565 (0.37–0.85) | 2.2 (1.6–3.1)f |
T3 | 21 | 1.226 (0.83–1.82)a | 0.874 (0.61–1.25) | 1.4 (1–1.9)f |
T4 | 17 | 1.365 (0.88–2.11)a | 0.901 (0.62–1.30) | 1.5 (1.2–1.9)f |
Lymph node metastases (N): | ||||
N0 | 33 | 1.259 (0.94–1.69) | 0.775 (0.59–1.02) | 1.6 (1.3–2.1)f |
N1 | 11 | 0.983 (0.69–1.41)g | 0.627 (0.40–0.98)g | 1.6 (1.3–2.1)f |
N2 | 7 | 1.963 (1.04–3.72)h | 1.308 (0.76–2.25)h | 1.5 (1–2.3)f |
Distant metastases (M): | ||||
M0 | 46 | 1.152 (0.93–1.42)i | 0.734 (0.59–0.91)i | 1.6 (1.3–1.9)f |
M1 | 5 | 3.074 (0.95–9.90)j | 1.615 (0.65–3.99)j | 1.9 (0.8–4.6) |
Anemia: | ||||
Nonanemic | 20 | 1.050 (0.84–1.31)k,l | 0.639 (0.48–0.85)k,l | 1.6 (1.3–2.1)f |
Mild anemia | 26 | 1.637 (1.15–2.33)l,m | 1.039 (0.76–1.43)l,m | 1.6 (1.2–2)f |
Moderate/severe | 5 | 0.716 (0.26–2.01)k,m | 0.475 (0.20–1.15)k,m | 1.5 (0.6–3.9) |
Tumor location: | ||||
Left | 15 | 1.778 (1.14–2.77) | 0.772 (0.46–1.28) | 2.2 (1.5–3.3)f |
Right | 18 | 1.135 (0.76–1.70) | 0.945 (0.66–1.35) | 1.2 (0.9–1.6) |
Rectum | 18 | 1.070 (0.77–1.49) | 0.666 (0.51–0.88) | 1.6 (1.4–1.9)f |
Data presented as means with 95% CI of normalized (against geometric mean of GAPDH and PPIA expression) relative (referred to as mean expression across sample set investigated) quantities of Nampt/PBEF/visfatin, calculated by qBasePLUS software. Information in superscript indicates significant (p < 0.05) between-group differences calculated using one-way ANOVA and t-test for independent samples. Ratio of tumor-to-normal (T/N) expression for each parameter was calculated using t-test for paired samples. Data presented as mean upregulation with 95% confidence interval.
aDifferent from normal tissue; bdifferent from stage I; cdifferent from stage II; ddifferent from stage III, edifferent from stage IV; fsignificantly upregulated in tumor tissues compared to matched nontumor ones (t-test for paired samples); gdifferent from N2 cancers; hdifferent from N1 cancers; idifferent from M1 cancers; jdifferent from M0 cancers; kdifferent from mild anemia; ldifferent from moderate/severe anemia; mdifferent from nonanemic patients.
Table 2.
Parameter | N | Nampt/PBEF/visfatin | p value |
---|---|---|---|
Sex distribution, F/M ratio | 36 | CRC patients: 8/28 | 0.367 |
54 | Controls: 18/36 | ||
Age, median (range) | CRC patients: 62 (33–92) | <0.001 | |
Controls: 36.5 (18–78) | |||
Disease stage: | 0.126 | ||
I | 3 | 0.482 (0.11–2.06) | |
II | 11 | 0.824 (0.54–1.26) | |
III | 18 | 0.852 (0.65–1.12) | |
IV | 3 | 1.505 (0.75–3.06) | |
Not determined | 1 | 1.108 | |
Local advancement (T): | 0.090 | ||
T2 | 4 | 0.495 (0.23–1.06) | |
T3 | 13 | 0.809 (0.55–1.19) | |
T4 | 19 | 0.984 (0.77–1.25) | |
Lymph node metastases (N): | 0.232 | ||
N0 | 15 | 0.713 (0.52–0.98) | |
N1 | 13 | 0.915 (0.64–1.31) | |
N2 | 8 | 1.076 (0.69–1.67) | |
Distant metastases (M): | 0.073 | ||
M0 | 32 | 0.798 (0.65–0.98) | |
M1 | 3 | 1.505 (0.75–3.03) | |
Mx | 1 | 1.108 | |
Anemia: | 0.069 | ||
Nonanemic | 21 | 0.732 (0.56–0.96) | |
Mild/moderate anemia | 15 | 1.045 (0.80–1.37) |
Data presented as means with 95% CI of normalized (against geometric mean of SDHA and TBP expression) relative (referred to as mean expression across sample set investigated) quantities of Nampt/PBEF/visfatin, calculated by qBasePLUS software.
For Nampt/PBEF/visfatin analysis on protein level, matched serum and tissue samples from 26 CRC patients were examined. Bowel tissue samples collected for protein analysis (matched cancerous and noncancerous) were rinsed with 0.9% NaCl and deep-frozen while these for comparative mRNA analysis were rinsed and stored in RNAlater. Additionally, serum samples from apparently healthy blood donors from Lower Silesian Center of Blood Donation and Therapy, Wroclaw, Poland (recruited on the basis of standard eligibility criteria for blood donation with an age >40 yrs old as an inclusion criterion for the current study), as well as otherwise healthy patients submitted for hernia repair surgery or surgical removal of hemorrhoids were obtained (n = 48). Age of patients was 69.2 ± 12.1 as compared to 65.9 ± 12.5 in controls, p = 0.281, and female to male ratio was, respectively, 11/15 and 26/22, p = 0.466. Within this group of patients, there were four with stage I, 12 with stage II, seven with stage III, and three with stage IV CRC; eight patients with T2 cancers, 13 with T3, and five with T4; and 18 patients without and eight with lymph node involvement.
Mild anemia was defined as hemoglobin level <13 g/dL in man and <12 g/dL in woman; moderate anemia was defined as hemoglobin <9.5 g/dL and severe anemia as hemoglobin <8 g/dL.
2.2. Ethical Approval
The study protocol was approved by the Medical Ethics Committee of Wroclaw Medical University, Wroclaw, Poland, and the study was conducted in accordance with the Helsinki Declaration of 1975, as revised in 1983, and an informed consent has been obtained from patients.
2.3. Analytical Methods
For Nampt/PBEF/visfatin analysis on mRNA level, tissue samples (30–40 mg) were homogenized using Fastprep 24 Homogenizer (MP Biomedical, USA). RNA was isolated using RNeasy Plus Mini Kit (Qiagen, USA) with DNase treatment. Whole blood RNA was isolated with PAXgene Blood RNA Kit (Qiagen). Isolated RNA was quantified with NanoDrop 2000 (ThermoScientific, USA). Its purity was assessed by calculating 260/280 and 260/230 ratios. RNA integrity was evaluated using the Experion platform incorporating LabChip microfluidic technology and Experion RNA StdSens analysis kits (BioRad, USA). Only RNA isolates with quality indicator (RQI) ≥ 7 were used (1, degraded; 10, intact). Contamination with inhibitors was tested by calculating PCR efficiencies (five-fold dilutions, 6-point curve, in duplicate). 0.5 μg of tissue or 0.25 μg of whole blood RNA/20 μL was transcribed using Maxima First Strand cDNA Synthesis Kit for RT-qPCR (Thermo Scientific). Negative transcription controls were prepared and tested for all samples. qPCRs were conducted in triplicate using CFX96 Real-Time PCR system (BioRad) and SsoFast EvaGreen Supermix (BioRad) with cycling conditions: 30 sec activation at 95°C, 5 sec denaturation at 95°C, and annealing/extension for 5 sec at 61°C, 40 cycles, followed by melting step (60–95°C with fluorescent reading every 0.5°C). Reaction mixture contained 2 μL of cDNA (diluted 1 : 5), 10 μL of 2x SsoFast EvaGreen Supermix, 1 μL of each 10 nM forward and reverse target-specific primers, and 6 μL of water.
SDHA and TBP have previously been selected as optimal normalizers for CRC whole blood samples (manuscript submitted) and GAPDH and PPIA for colorectal tissue [11]. Primers (Generi Biotech, Czech Republic), spanning at least one intron, were devised, optimized and validated as previously described [11]. Their sequences and efficiencies are presented in Table 3.
Table 3.
Symbol | Gene name | Accession number | Primer sequence 5′→3′ (forward/reverse) | Amp. size | E [%] tissue | E [%] blood | E [%] cells |
---|---|---|---|---|---|---|---|
GAPDH a | Glyceraldehyde-3-phosphate dehydrogenase | NM_002046.4 | F: gtctcctctgacttcaacagcg R: accaccctgttgctgtagccaa |
131 bp | 102.1 | — | — |
| |||||||
IPO8 | Importin 8; nuclear protein import | NM_006390.3 | F: tggtatggtggaagtgtaagaagtg R: ttggttgagatagttgaatgcttgc |
230 bp | — | — | 100.9 |
| |||||||
PPIA a | Peptidylprolyl isomerase A | NM_021130.3 | F: ggcaaatgctggacccaacaca R: tgctggtcttgccattcctgga |
161 bp | 99.7 | — | 104.6 |
| |||||||
SDHA | Succinate dehydrogenase subunit A | NM_004168.2 | F: agaggcacggaaggagtcac R: caccacatcttgtctcatcagtagg |
267 bp | — | 94.8 | 95.9 |
| |||||||
TBP | TATA-box-binding protein | NM_003194.4 | F: tataatcccaagcggtttgctg R: ctggctcataactactaaattgttg |
283 bp | — | 109.7 | 102.2 |
| |||||||
YWHAZ | Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide; signal transduction | NM_003406.3 | F: tcacaacaagcataccaagaagc R: gtatccgatgtccacaatgtcaag |
263 bp | — | — | 97.4 |
| |||||||
NAMPT | Nicotinamide phosphoribosyltransferase | NM_005746.2 | F: cacaggcaccactaataatcagac R: ctccaccagaaccgaaggc |
243 bp | 104 | 108.8 | 94.8 |
| |||||||
IL1β a | Interleukin 1β | NM_000576.2 | F: ccacagaccttccaggagaatg R: gtgcagttcagtgatcgtacagg |
131 bp | 94.7 | 100.1 | — |
| |||||||
IL8 | Interleukin 8 | NM_000584.3 | F: caacacagaaattattgtaaagc R: aagtgttgaagtagatttgc |
191 bp | 96.7 | 99.8 | — |
| |||||||
CCL2 | Monocyte chemotactic protein- (MCP-) 1 | NM_002982.3 | F: tctgtgcctgctgctcatag R: acttgctgctggtgattcttc |
155 bp | 99.7 | — | — |
| |||||||
CCL4 a | Macrophage inflammatory protein- (MIP-) 1β | NM_002984.2 | F: ggtcatacacgtactcctggac R: gcttcctcgcaactttgtggtag |
140 bp | 92.1 | 103.5 | — |
| |||||||
FGF2 | Basic fibroblast growth factor | NM_002006.4 | F: tctatcaaaggagtgtgtgctaacc R: tgcccagttcgtttcagtgc |
179 bp | 100.7 | — | — |
| |||||||
HIF1α | Hypoxia-inducible factor 1α | NM_001530.3 | F: ctgccaccactgatgaatta R: gtatgtgggtaggagatgga |
90 bp | 104.7 | — | — |
| |||||||
PCNA a | Proliferating cell nuclear antigen | NM_002592.2 | F: caagtaatgtcgataaagaggagg R: gtgtcaccgttgaagagagtgg |
126 bp | 100.8 | — | — |
| |||||||
TNFα a | Tumor necrosis factor α | NM_000594.3 | F: ctcttctgcctgctgcactttg R: atgggctacaggcttgtcactc |
135 bp | 98.2 | 100.1 | — |
| |||||||
VEGF-A a | Vascular endothelial growth factor A | NM_001025366.2 | F: ttgccttgctgctctacctcca R: gatggcagtagctgcgctgata |
126 bp | 96.1 | 94.5 | — |
Amp., amplicon; E, efficiency; aprimer sequences were as proposed by Origene (http://www.origene.com/). Remaining primers were designed using Beacon Designer Probe/Primer Design Software (BioRad), validated in silico by Blast analysis, and their specificity was tested by means of melting curve analysis and an electrophoresis in a high-resolution agarose (SeaKem LE agarose, Lonza, Switzerland) in TBE with SYBR Green (Lonza) detection. Efficiencies were calculated on pooled cDNA, separately for expression analysis in whole blood, colorectal tissue, and cell culture experiments.
Forward and reverse primer sequences are denoted by “F” and “R,” respectively.
For Nampt/PBEF/visfatin analysis on protein level, tissue samples (120–170 mg) were homogenized 1 : 2 (w/v) in 10 mM Tris-HCl with 1 mM EDTA, pH 7.4 buffer, in FastPrep-24 homogenizer (2 min., 4.0 M/S). Homogenates were centrifuged (14 500 ×g, 10 min., 6°C) and the supernatants were aliquoted and stored at −45°C until analysis.
For circulating Nampt/PBEF/visfatin analysis, blood was drawn by venipuncture and allowed to clot for 30 minutes and centrifuged (15 min., 720 ×g) and serum was collected, aliquoted, and kept frozen at −80° until examination.
Nampt/PBEF/visfatin in sera and tissue homogenates was measured by means of flow cytometry-based method utilizing magnetic microspheres conjugated with monoclonal antibodies using the BioPlex 200 platform with HRF (Bio-Rad, USA), incorporating Luminex xMAP technology, and Bio-Plex Pro Human Diabetes Assay Panels. In case of tissue Nampt/PBEF/visfatin, its concentrations were adjusted to total protein level, measured using Bradford method with bovine serum albumin used for standard curve preparation, and expressed as mg of Nampt/PBEF/visfatin per g of total protein content.
Biochemical and hematological parameters were retrieved from medical records. Data on circulating levels of cytokines/growth factors, assessed using Luminex xMAP technology, were retrieved from earlier study [12].
2.3.1. Cell Cultures
Human colon adenocarcinoma cell line SW620 (ATCC: CCL-227) from the Polish Collection of Microorganisms (PCM) of the Institute of Immunology and Experimental Therapy of Polish Academy of Science, Wroclaw, Poland (PCM-TC046), was grown on 75 cm2 cell culture flasks (BD Bioscience, CA, USA) in DMEM/F12 medium supplemented with 10% FBS (v/v) and 1% (v/v) L-glutamine-penicillin-streptomycin (Life Technologies, CA, USA) until 80% confluence, then scraped, and counted using trypan blue (BioRad) and TC20 Automated Cell Counter (BioRad). Subsequently, for proliferation analysis, 2 × 104 cells/well were seeded on 96-well plates (Corning CellBIND surface; Corning, NY, USA) and cultured until 80% confluence at 37°C in a humidified atmosphere containing 5% CO2, at which point medium was replaced with a fresh one with or without 10% FBS (two variants of the experiment) and 0, 20, 100, or 500 ng/mL of recombinant visfatin (PeproTech, NJ, USA) for 8 or 24 hours. For Nampt/PBEF/visfatin expression analysis, 3 × 105 cells/well were seeded on plastic, flat bottom, 6-well plates (Corning CellBIND surface) and cultured until 80% confluence at 37°C in a humidified atmosphere containing 5% CO2. Next, depending on the nature of the experiment, the complete medium was replaced with fresh one: (a) devoid of serum, except for control cells (serum-supplemented), and grown for 12, 24, and 48 hours in serum withdrawal experiment; (b) devoid of serum in serum induction experiment, all cells being grown without serum for 24 h and subsequently medium being changed into serum-supplemented (10% FBS) in all cells except for controls, which were supplemented again with fresh serum-free medium, and harvested after 24 or 48 hours; (c) containing 0, 50, 100, or 200 μM CoCl2 (Alchem, Poland) for 4, 8, 12, and 24 hours in hypoxia experiment. Upon termination, cells were scratched and lysed with 1 mL of TRIzol Reagent (Life Technologies) and stored at −80°C until RNA isolation, as described in earlier sections. For reverse transcriptase reaction, 500 ng of isolated RNA per reaction was used.
2.3.2. Proliferation Assay
Cell proliferation was measured as total protein synthesis using sulforhodamine B (SRB), an anionic dye binding electrostatically to cellular proteins and subsequently fixed, solubilized, and measured spectrophotometrically at OD 510 nm. SRB assays were conducted in four technical replicates and the experiment was conducted three times.
2.4. Statistical Analysis
In mRNA analysis, QBasePLUS version 2.4 software (Biogazelle BE, Belgium) [13] was used to calculate efficiency-corrected relative quantities normalized to the expression of reference genes for all samples (NRQ). All statistical analyses on NRQ were performed using MedCalc Statistical Software version 12.7.7 (MedCalc Software bvba, Ostend, Belgium; https://www.medcalc.org/; 2013). Normality and homogeneity of variances were tested using D'Agostino-Pearson and Levene's tests. Data were log-transformed and analyzed using one-way ANOVA and t-test for independent samples with Welch correction or Kruskal-Wallis H test and Mann-Whitney U test. Paired samples were analyzed using t-test for dependent samples. Correlation and partial correlation analyses were conducted using Pearson test (r) and correlation with circulating cytokines/growth factors using Spearman test (ρ). Two-factorial ANOVA, analysis of covariance (ANCOVA), and multiple regression (stepwise method; variable entrance criteria: p < 0.05; variable removal criteria: p > 0.1) were used to coevaluate factors/variables. Frequency analysis was conducted using Fisher test. If not otherwise stated, NRQ data are presented as geometric means with 95% confidence intervals (CI). In protein analysis, data are presented as means with 95% CI and as medians with 95% CI in circulating Nampt/PBEF/visfatin analysis and analyzed using, respectively, t-test (for paired or unpaired observations, the latter with Welch correction for unequal variances, if required) or Mann-Whitney U test. For cell culture experiments, ΔΔCt method using efficiency-corrected Cq values was used to evaluate relative differences in target gene expression. All calculated probabilities were two-sided and p < 0.05 was considered statistically significant.
3. Results
3.1. Nampt/PBEF/Visfatin Expression in Colorectal Tissue
Normalized relative Nampt/PBEF/visfatin expression (NRQ) in tumors was significantly higher than in corresponding noncancerous tissue by 1.6-fold on average (95% CI: 1.4–1.9; maximum: 8.9-fold) (Figure 1). Tumor-to-normal Nampt/PBEF/visfatin expression ratio exceeded one in 78% of patients and in this group mean upregulation was 2-fold (1.7–2.3).
Nampt/PBEF/visfatin expression in tumors corresponded with disease advancement (Table 1). Compare to mean expression in nontumor tissue, Nampt/PBEF/visfatin expression in tumors was significantly higher in all disease stages except for stage I. It did not differ significantly with respect to local tumor progression but was higher in N2 than N1 cancers (2-fold upregulation (1.1–3.7), p = 0.029) and in M1 than M0 cancers (2.7-fold (1.3–5.3), p = 0.006). Similarly, Nampt/PBEF/visfatin expression in nonneoplastic tissue mirrored disease advancement. It was 2.1-fold upregulated (1.1–4.1, p = 0.033) in normal tissue in patients with N2 than N1 cancers and 2.2-fold upregulated (1.1–4.4, p = 0.026) in M1 than M0 cancers.
Nampt/PBEF/visfatin expression in both tumor and normal tissue was associated with anemia (Table 1). It was 1.6-fold (1–2.3, p = 0.033) upregulated in tumors from CRC patients with mild anemia compared to those without and 1.6-fold (1–2.5, p = 0.025) in normal tissue, while 2.7-fold (1–7, p = 0.046) downregulated in tumor tissue from patients with moderate/severe anemia as compared to nonanemic ones and 2.2-fold (1–4.7, p = 0.048) in normal tissue. However, colorectal expression of Nampt/PBEF/visfatin was strongly associated with HIF1α (Table 3) and HIF1α corresponded with anemia in normal tissue as well (p = 0.017). Hence, we used ANCOVA and found that for tumor tissue both HIF1α (p < 0.001) and anemia (p = 0.014) significantly affected Nampt/PBEF/visfatin expression. However, in nontumor tissue, the association with anemia lost significance (p = 0.718) when Nampt/PBEF/visfatin correlation with HIF1α (p < 0.001) was accounted for.
The highest mean Nampt/PBEF/visfatin expression was in tumors located in left colon and the fold-increase between normal and tumor tissue was the highest for this location (Table 1). Nampt/PBEF/visfatin expression in left colon tumors tended to be 1.7-fold higher (1–2.8, p = 0.055) as compared to tumors located in rectum. When the differences in TNM stage between left colonic and rectal cancers were accounted for (two-way ANOVA), higher Nampt/PBEF/visfatin expression in tumors located in left colon gained significance (p = 0.049). There was no Nampt/PBEF/visfatin upregulation in right colon tumors.
3.2. Nampt/PBEF/Visfatin Expression in Whole Blood
Nampt/PBEF/visfatin in whole blood was 1.3-fold (1–1.8) lower in CRC patients than in controls (0.840 (0.69–1.02) versus 1.123 (0.93–1.36), p = 0.043).
Relationship between Nampt/PBEF/visfatin in whole blood and clinicopathological features of CRC is depicted in Table 2. It tended to be 1.5-fold higher in CRC patients with N2 than N0 cancers (0.9–2.5, p = 0.114) or 1.9-fold higher in patients with distant metastases (0.9–3.8) and to be upregulated along with increasing depth of tumor invasion or in patients with anemia (1.4-fold (1–2.1), p = 0.069).
3.3. Correlation Pattern of Nampt/PBEF/Visfatin in Colorectal Tissue
We examined the association pattern between Nampt/PBEF/visfatin and colonic expression of proinflammatory cytokines IL1β and TNFα, chemokines CCL2 and CCL4, and angiogenic factors VEGF-A, FGF2, and IL8 and with indices of hypoxia, HIF1α, and proliferation, PCNA. Except for PCNA and CCL4 in tumors, Nampt/PBEF/visfatin expression correlated positively with all, both in normal and tumor colonic tissue (Table 4). However, as revealed by partial correlation analysis, some of these associations were mediated by HIF1α. When adjusted, apart from HIF1α, Nampt/PBEF/visfatin in tumors correlated with IL1β, VEGF-A, and IL8. Following adjustment to HIF1α, Nampt/PBEF/visfatin in normal tissue correlated with IL1β, IL8, CCL2, and CCL4.
Table 4.
Gene | Normal tissue | Tumor tissue |
---|---|---|
IL1β | r = 0.82, p < 0.001a (0.65, p < 0.001) | r = 0.65, p < 0.001a (0.46, p < 0.001) |
TNFα | r = 0.50, p < 0.001 | r = 0.54, p < 0.001 |
HIF1α | r = 0.73, p < 0.001 | r = 0.77, p < 0.001 |
VEGF-A | r = 0.66, p < 0.001 | r = 0.64, p < 0.001a (0.37, p = 0.008) |
PCNA | r = 0.18, p = 0.200 | r = −0.04, p = 0.774 |
CCL4 (MIP1β) | r = 0.62, p < 0.001a (0.50, p < 0.001) | r = 0.24, p = 0.097 |
CCL2 (MCP1) | r = 0.70, p < 0.001a (0.56, p < 0.001) | r = 0.57, p < 0.001 |
IL8 | r = 0.64, p < 0.001a (0.39, p = 0.005) | r = 0.49, p < 0.001a (0.38, p = 0.007) |
FGF2 | r = 0.40, p = 0.004 | r = 0.50, p < 0.001 |
aAssociations that remained significant following adjustment to HIF1α with partial correlation coefficients given in parentheses.
In multivariate analysis with HIF1α, IL1β, VEGF-A, IL8, mild anemia, and M status as explanatory variables, HIF1α (b = 0.61; partial r = 0.66, p < 0.001), IL1β (b = 0.23; partial r = 0.45, p = 0.001), and mild anemia (b = 0.11; partial r = 0.29, p = 0.043) were found to be independent predictors of tumor Nampt/PBEF/visfatin, explaining 70% in its variability (coefficient of determination R 2 = 0.703; F = 37.1, p < 0.0001; constant = −0.03).
In multivariate analysis with HIF1α, IL1β, IL8, CCL2, CCL4, and stage M as explanatory variables, IL1β (b = 0.39; partial r = 0.65, p < 0.001) and HIF1α (b = 0.44; partial r = 0.42, p = 0.002) were found to be independent predictors of Nampt/PBEF/visfatin in nonneoplastic tissue, explaining 73% in its variability (coefficient of determination R 2 = 0.725; F = 64.5, p < 0.0001; constant = 0.007).
In a subset of CRC patients (n = 44), we examined Nampt/PBEF/visfatin correlation with serum levels of IL1β, IL4, IL12, IL6, IL8, TNFα, CCL2, CCL4, VEGF-A, PDGF-BB, FGF2, G-CSF, and GM-CSF. Of these tumor Nampt/PBEF/visfatin positively correlated with circulating IL8 (ρ = 0.33, p = 0.029) and VEGF-A (r = 0.40, p = 0.008).
3.4. Correlation Pattern of Nampt/PBEF/Visfatin in Whole Blood
There was no correlation between whole blood Nampt/PBEF/visfatin and its expression in nonneoplastic (r = 0.04, p = 0.880, n = 20) or tumor tissue (r = 0.11, p = 0.644, n = 20).
Whole blood Nampt/PBEF/visfatin positively correlated with IL1β (r = 0.56, p < 0.001), IL8 (r = 0.43, p = 0.008), and CCL4 (r = 0.43, p = 0.010) but not with TNFα (r = −0.11, p = 0.535) or VEGF-A (r = 0.32, p = 0.100).
We also investigated Nampt/PBEF/visfatin correlation with biochemical and hematological parameters: CRP, ESR, fibrinogen, PLT, WBC, hemoglobin, hematocrit, and RBC. Of these, Nampt/PBEF/visfatin expression correlated with hemoglobin (r = −0.33, p = 0.049) and hematocrit (r = −0.36, p = 0.032).
Whole blood Nampt/PBEF/visfatin expression positively correlated exclusively with circulating IL6 (r = 0.37, p = 0.039, n = 32).
In multivariate analysis with IL1β, IL8, CCL4, hemoglobin, and hematocrit as explanatory variables, IL1β (b = 0.81; partial r = 0.65, p < 0.001), IL8 (b = 0.28; partial r = 0.56, p < 0.001), and hematocrit (b = −0.02; partial r = −0.46, p = 0.007) were found independent predictors of Nampt/PBEF/visfatin expression in whole blood, explaining 60% in its variability (coefficient of determination R 2 = 0.5983; F = 15.4, p < 0.0001; constant = 0.649).
3.5. Nampt/PBEF/Visfatin Protein Concentration in Bowel Tissue
Relative Nampt/PBEF/visfatin protein concentration in tumors was higher by 2.4-fold (1.7–3) on average than in nontumor tissues (Figure 2). Nampt/PBEF/visfatin protein concentration in tumor tissue corresponded with CRC advancement; it was significantly higher in stage III/IV than I/II CRCs (7.8 mg/g (5–10.5) versus 4.5 mg/g (2.8–6.3), p = 0.030). Elevated concentration reflected metastatic spread, being higher in N1/2 than N1 CRCs (8.2 mg/g (4.7–11.6) versus 4.7 mg/g (3.1–6.3), p = 0.028), rather than local advancement (p = 0.4). Also Nampt/PBEF/visfatin protein concentration in tumor-adjacent normal tissue corresponded with the disease advancement. It tended to be higher in stage III/IV than I/II CRCs (3.6 mg/g (1.9–5.3) versus 2 mg/g (1.3–2.6), p = 0.064) and was significantly higher in N1/2 than N1 CRCs (4 mg/g (1.8–6.1) versus 2 mg/g (1.4–2.5), p = 0.009).
There was no direct correlation between Nampt/PBEF/visfatin protein concentration and its mRNA expression in terms of NRQ, neither in tumor nor in normal tissue. Also, its tissue protein concentration did not correlate with circulating cytokines and growth factors. However, in noncancerous tissues sampled from areas adjacent to resection margins, Nampt/PBEF/visfatin protein concentration was significantly higher in patients with anemia (3.04 mg/g (2.09–4) versus 1.37 mg/g (0.84–1.9), p = 0.003) and tended to negatively correlate with hemoglobin concentration (r = −0.37, p = 0.065).
3.6. Circulating (Serum) Nampt/PBEF/Visfatin
Circulating Nampt/PBEF/visfatin in CRC patients was significantly higher than in healthy controls (12.6 μg/L (7.2–20.5) versus 6.7 μg/L (4.8–9.3), p = 0.019). It tended to be more elevated in stage III/IV than stage I/II CRCs (22.9 μg/L (5.8–64.60) versus 11 μg/L (5.5–17.2), p = 0.133) and in T3/4 than T2 CRCs (17.6 μg/L (8.2–23) versus 7.7 μg/L (4.3–21.9), p = 0.222). However, circulating Nampt/PBEF/visfatin was significantly elevated in N1/2 than N0 CRCs (23.9 μg/L (8.6–100) versus 9.2 μg/L (5.2–15.9), p = 0.012).
Circulating Nampt/PBEF/visfatin positively correlated with inflammatory indices IL1β (r = 0.63, p = 0.020) and TNFα (r = 0.62, p = 0.024) and growth factors FGF2 (r = 0.74, p = 0.004), G-CSF (r = 0.62, p = 0.025), and GM-CSF (r = 0.57, p = 0.043). There was no direct correlation between circulating Nampt/PBEF/visfatin and its mRNA expression or protein concentration, either in tumor or in normal tissue.
3.7. Effect of Serum Deprivation and Induction as well as Hypoxia on Nampt/PBEF/Visfatin Expression in Colon Adenocarcinoma Cell Line SW620
The analysis was preceded by selecting optimal housekeeping genes using RefFinder algorithm (the website was accessed in 2014: http://www.leonxie.com/referencegene.php), based on the rankings from four dedicated computational programs, namely, geNorm, Normfinder, BestKeeper, and the comparative ΔCt method, as well as by determining required number of normalizers with GeNorm utility in qBasePLUS program [13] out of the following genes: ACTB, B2M, GAPDH, GUSB, HPRT1, IPO8, MRPL19, PGK1, PPIA, RPLP0, RPS23, SDHA, TBP, UBC, and YWHAZ. YWHAZ and PPIA were selected as optimal for SW620 cells in serum withdrawal experiment, YWHAZ and IPO8 in serum induction experiment, and SDHA and TBP in hypoxia experiment.
We examined both the effect of serum withdrawal and serum resupplementation on SW620 cells. Compared to cells supplemented with 10% FBS, serum withdrawal was associated with reduced expression of Nampt/PBEF/visfatin, in a time-dependent manner. In turn, serum induction resulted in an upregulation of Nampt/PBEF/visfatin expression in starved SW620 cells (Figure 3(a)). Similarly, cytokine expression was enhanced in SW620 cells grown under hypoxic conditions, particularly in 24-hour cultures stimulated with 200 μM CoCl2 (Figure 3(b)).
3.8. Effect of Exogenous Visfatin on Growth of Adenocarcinoma Cell Line SW620
As depicted in Figure 4, stimulation with recombinant visfatin did not provide growth advantage for adenocarcinoma cell line SW620. On the contrary, 24-hour stimulation with visfatin caused, dose-dependently, growth inhibition of SW620 cells grown without serum supplementation.
4. Discussion
To the best of our knowledge this is the first study dedicated to Nampt/PBEF/visfatin expression in colorectal tissue and whole blood from CRC patients and its association with the disease advancement, identifying factors possibly involved in its upregulation. The link between colorectal tissue Nampt/PBEF/visfatin and CRC has been discovered by Hufton and colleagues [5, 6]. Nampt/PBEF/visfatin association with CRC advancement has been demonstrated for extracellular Nampt in some [7] but not all studies [8, 9]. We showed significant Nampt/PBEF/visfatin upregulation in tumor tissue and an increase of Nampt/PBEF/visfatin expression along with CRC advancement. However, its upregulation was associated with gaining metastatic potential rather than with local progression, being higher in N2 than N1 and in M1 than M0 cancers. Higher than expected expression in N0 cancers, reflected also in higher expression in disease stage II than III, may result from failing to detect metastatic lymph nodes or presence of micrometastases and hence misclassification of some cancers. Our observations were confirmed on protein level as well and the association between Nampt/PBEF/visfatin and lymph node involvement in particular was further supported by significant elevation of circulating cytokine in N-positive CRCs. Possible role of Nampt/PBEF/visfatin in metastasis has been suggested for prostate cancer, based on an observation of Nampt/PBEF/visfatin-mediated upregulation of expression and activity of matrix metalloproteinases- (MMP-) 2 and 9 [14].
Tissue adjacent to resection margins, which were confirmed to be disease-free by histopathological examination, was affected by disease progression as well. This unexpected observation might be explained by a phenomenon of field effect in cancer. Although generally higher in tumors, even stage II or T2, Nampt/PBEF/visfatin expression in this apparently normal colorectal tissue was not uniformly low. It differed by the disease stage and reflected cancer metastatic potential, mimicking the associations observed in tumors. Similar to tumors, Nampt/PBEF/visfatin expression in nontumor tissues was more pronounced in N-positive cancers also on protein level. A phenomenon of field cancerization is well documented now, also in CRC [15], and a number of genetic and transcriptional alterations in histologically normal tissue adjacent to tumor that mirror these observed in cancer have been found.
Owing to a very high rate of NAD+ turnover in cancer cells, Nampt/PBEF/visfatin is viewed as a potential target of future anticancer therapies and several potent enzyme inhibitors have already been developed [3]. While the preclinical studies with the compounds yielded promising results and Nampt/PBEF/visfatin inhibitors have entered clinical trials as anticancer agents [3], surprisingly little is known about physiological role or relevance of Nampt/PBEF/visfatin or mechanisms underlying its actions. In gastrointestinal tract cancers, targeting enzymatic activity of Nampt/PBEF/visfatin has inhibited proliferation, migration, and anchorage-independent growth [16, 17] and induced apoptosis [16–19], implying Nampt/PBEF/visfatin involvement in proliferation, migration, and survival of cancer cells. To address the issue in actual tumors, we investigated Nampt/PBEF/visfatin association with the expression of PCNA, a surrogate proliferation marker. However, in line with poor correlation between Nampt/PBEF/visfatin and T stage, Nampt/PBEF/visfatin did not correspond with PCNA expression. Furthermore, stimulation with exogenous visfatin not only did not provide growth advantage for colon adenocarcinoma cell line SW620, but, following 24-hour incubation, hampered it in a dose-dependent manner.
Peripheral blood leukocytes have been reported to contain maximal levels of mRNA transcripts for Nampt/PBEF/visfatin and greatly contribute to its circulating levels [10]. Nampt/PBEF/visfatin is essential for survival of both activated [20–22] and resting leukocytes [4]. We found that whole blood expression of Nampt/PBEF/visfatin in CRC patients tended to echo advancement of the disease but, surprisingly, we found it to be lower than in controls. Blood samples for the control group were collected from patients with nonmalignant diseases of gastrointestinal tract. While these patients were proved to be reliable reference for studies on circulating cytokines, it is possible that their whole blood cytokine expression is altered. Contrary to its whole blood expression, circulating visfatin was significantly higher in CRC patients than controls, reflecting lymph node involvement.
Nampt/PBEF/visfatin is both stimulated by inflammatory stimuli and increases expression of inflammatory cytokines in return [10, 23]. Correspondingly, we found Nampt/PBEF/visfatin to positively correlate with the expression of inflammatory mediators with IL1β being an independent predictor for its tumor and normal colorectal tissue expression and IL1β and IL8 for its expression in whole blood. In line with its proposed function as a chemoattractant for leukocytes [24], we observed Nampt/PBEF/visfatin expression to correlate with other chemokines, namely, monocyte chemotactic protein- (MCP-) 1 (CCL2) and macrophage inflammatory protein- (MIP-) 1β (CCL4). Moreover, we found circulating IL8 and IL6 to correspond with, respectively, tumor and whole blood expression of Nampt/PBEF/visfatin. Also the levels of circulating cytokine were tightly related to these of ILβ and TNFα.
In vitro studies have shown that Nampt/PBEF/visfatin dose-dependently upregulated HUVECs' VEGF-A expression, contributing to endothelial angiogenesis [25]. Accordingly, we demonstrated Nampt/PBEF/visfatin to positively correlate with circulating VEGF-A as well as with VEGF-A expression in tumor and normal colorectal tissue. Corroborating finding on its positive effect on FGF-2 mRNA levels in human endothelial cells [26], we found Nampt/PBEF/visfatin to positively correlate with FGF2 as well. Also at systemic level, there was strong positive correlation between cytokine and FGF2 as well as G-CSF and GM-CSF, hematopoietic growth factors with angiogenic properties.
Hypoxia is a common phenomenon within solid tumors and a driving force of tumor angiogenesis with hypoxia-inducible factor- (HIF-) 1 as a key regulatory factor of the process. Nampt/PBEF/visfatin has been proved to be yet another hypoxia-inducible factor with its expression regulated by HIF-1 [27, 28]. Accordingly, we demonstrated a strong positive association between Nampt/PBEF/visfatin and HIF1α expression, both in tumor and normal tissue, with HIF1α being one of independent predictors of its expression in CRC. Also, HIF1α occurred to be a confounding factor mediating some of other Nampt/PBEF/visfatin associations observed in our study. It did not, however, mediate the association between tumor Nampt/PBEF/visfatin and anemia, although systemic hypoxia with subsequent upregulation of HIF1α would be the simplest explanation for an increase in Nampt/PBEF/visfatin. Not only was Nampt/PBEF/visfatin expression higher in tumors in CRC patients with mild anemia but also whole blood Nampt/PBEF/visfatin inversely correlated with hemoglobin and hematocrit, with the latter being independently associated with Nampt/PBEF/visfatin. Interestingly, at protein level, anemia was associated with higher Nampt/PBEF/visfatin concentration in noncancerous bowel tissue as well. Anemia of chronic disease is accompanied by elevation of inflammatory mediators that by various, although still not fully clarified, mechanisms may contribute to its development. However, the association observed here seems to be independent from inflammation as well since IL1β was Nampt/PBEF/visfatin independent predictor in addition to anemia/hematocrit. Owing to the importance of Nampt/PBEF/visfatin in cell bioenergetics, intuitively, its underexpression is likely to contribute to anemia. Accordingly, fatigue and anemia are listed among side-effects of treatment with Nampt inhibitors [29]. Yet, in the logistic regression, of all the factors investigated, Nampt/PBEF/visfatin upregulation in addition to HIF1α was an anemia predictor in CRC patients (data not shown). Our in vitro experiments confirmed that hypoxic conditions contribute to the upregulation of Nampt/PBEF/visfatin expression. Moreover, we showed that its expression is affected by the alterations in serum availability as well. Faulty blood vessels in tumors are not only inefficient in providing cancer cells with oxygen but are also responsible for discontinuity of supply of nutrients and growth factors. As such, cancer cells are likely to compensate by altering their expression profile. Indeed, both serum withdrawal and subsequent induction has been demonstrated to alter the expression of a number of genes [30]. The expression of GAPDH or ACTB, genes previously believed to be unregulated and as such frequently used as normalizers in gene expression studies, has been affected by serum availability as well. We found Nampt/PBEF/visfatin expression to be negatively affected by serum withdrawal in SW620 cells but upregulated in response to serum induction.
Specific location within colorectum has been shown to determine expression of a number of cytokines and growth factors, the phenomenon that may explain site differences in mechanisms promoting CRC progression, its recurrence pattern, patients' prognosis, or effectiveness of various treatment strategies [31, 32]. Indeed, there was no upregulation of Nampt/PBEF/visfatin in tumors located in right colon while there was over 2-fold upregulation in tumors located in left colon. Also, we observed significantly higher Nampt/PBEF/visfatin overexpression in tumors located in left colon than in rectum.
Van Beijnum et al. [6] has demonstrated that Nampt/PBEF/visfatin expression evaluated on transcriptional and protein level, the latter using either Western-blot or immunochemistry, was concordant. Accordingly, we found the magnitude of its upregulation on mRNA and protein level, both determined using sensitive quantitative methods, namely, RT-qPCR and flow cytometry-based Luminex technology, comparable. Although there was no direct correlation between cytokine expression on mRNA and protein level, cancer dissemination was associated with the upregulation of both Nampt/PBEF/visfatin protein and mRNA. Moreover, with circulating visfatin significantly higher in patients with lymph node involvement, the association manifested itself at systemic level as well. Also the association with anemia and inflammatory mediators, discerned on transcriptional level both in bowel and in peripheral leukocytes, has been confirmed on systemic, protein level.
5. Conclusions
Taken together our results show Nampt/PBEF/visfatin overexpression in colorectal cancer that, both on transcriptional and protein level, locally and at systemic level, reflects metastatic potential of the disease and points at inflammatory stimuli and hypoxia as key inducers of its upregulation in CRC. They also demonstrate that the disease stage is reflected by Nampt/PBEF/visfatin upregulation in nontumor apparently normal colorectal tissue.
Acknowledgments
The research was supported by Wroclaw Research Center EIT+ under the project “Biotechnologies and Advanced Medical Technologies-BioMed” (POIG 01.01.02-02-003/08-00) financed from the European Regional Development Fund (Operational Programme Innovative Economy, 1.1.2). The funding sources had no involvement in study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
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