TOTAL NUMBER OF PAGES: NUMBER OF FIGURES · 12/07/2011 · Author manuscripts have been peer...
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Nerve growth factor links oral cancer progression, pain, and cachexia
Yi Ye1, Dongmin Dang2, Jianan Zhang1, Chi Tonglien Viet3,
David K. Lam2, John Dolan1,4, Jennifer Gibbs5, and Brian L. Schmidt1,3
1Bluestone Center for Clinical Research, New York University
2Department of Oral and Maxillofacial Surgery, University of California San Francisco
3Department of Oral Maxillofacial Surgery, New York University
4Department of Orthodontics, New York University
5 Department of Endodontics, New York University
Running title: Anti-NGF as a therapy in head and neck cancer
Keywords: NGF, allodynia, cancer pain, weight loss, tumor growth
TOTAL NUMBER OF PAGES: 29
NUMBER OF FIGURES: 6
Word count: 5853
*Corresponding author:
Brian L. Schmidt DDS, MD, PhD
Bluestone Center for Clinical Research, New York University College of Dentistry
421 First Avenue, 233W, New York, New York 10010
Email: [email protected]
Tel: 212-998-9543 Fax: 212-995-4843
The authors have no conflicts of interest to declare.
This work was funded by NIH/NIDCR R21 DE018561
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Abstract
Cancers often cause excruciating pain and rapid weight loss, severely reducing quality
of life in cancer patients. Cancer-induced pain and cachexia are often studied and
treated independently, although both symptoms are strongly linked with chronic
inflammation and sustained production of pro-inflammatory cytokines. Since nerve
growth factor (NGF) plays a cardinal role in inflammation, and pain, and because it
interacts with multiple pro-inflammatory cytokines, we hypothesized that NGF acts as a
key endogenous molecule involved in the orchestration of cancer-related inflammation.
NGF might be a molecule common to the mechanisms responsible for clinically
distinctive cancer symptoms such as pain and cachexia as well as cancer progression.
Here we reported that NGF was highly elevated in human oral squamous cell carcinoma
tumors and cell cultures. Using two validated mouse cancer models, we further
demonstrated that NGF blockade decreased tumor proliferation, nociception, and
weight loss by orchestrating pro-inflammatory cytokines and leptin production. NGF
blockade also decreased expression levels of nociceptive receptors TRPV1, TRPA1,
and PAR-2. Together, these results identified NGF as a common link among
proliferation, pain, and cachexia in oral cancer. Anti-NGF could be an important
mechanism-based therapy for oral cancer and its related symptoms.
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Introduction
Pain and cachexia significantly impair function and degrade quality of life in
patients suffering from cancer (1-7). Pain control and weight maintenance are especially
challenging in patients with head and neck (oral) cancer. Many oral cancer patients
suffer from symptoms that are more severe than symptoms produced by other cancers
(4-7). Oral cancer patients often experience difficulty with eating, drinking, swallowing,
and speaking. Despite recent advances in treatment, pain control and weight
maintenance persist as two important clinical challenges. Cancer pain and cachexia are
usually assessed and treated as separate, unrelated entities (1). However, these
symptoms may share the same underlying mechanism since both are linked to chronic
inflammation and share common pro-inflammatory mediators (1, 8). Currently, such a
mechanism has not been elucidated for cancer pain and cachexia.
Nerve growth factor (NGF) is a key modulator of the neuro-endocrine immune
axis that serves diverse biological functions (9-13). In a variety of rodent cancer
models, NGF has been shown to play a direct role in tumor proliferation (13-15), and in
perineural invasion. Perineural invasion is a predictor of disease progression in oral
cancer (15). NGF has also been proposed as an important mediator of tumor-induced
bone pain secondary to prostate cancer (16-18). However, the effect of NGF on cancer
proliferation and pain is dependent on tumor type. For example, anti-NGF treatment has
been shown to reduce disease progression in breast cancer but has no effect in bone
cancer (14, 16, 17). Bone cancer pain, however, is attenuated by anti-NGF treatment in
mice (16-18). Oral cancer pain is usually caused by cancer originating from soft tissue
and clinically distinct from bone cancer pain. Oral cancer pain is exacerbated by
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function, generally does not arise spontaneously, and is not correlated with tumor size.
Even the smallest oral cancers can produce severe pain (4, 5). In contrast, bone cancer
pain is commonly spontaneous and incessant, and typically increases with disease
progression (16, 17). The effect of anti-NGF on oral cancer pain or proliferation is
unknown.
The role of NGF in the regulation of body weight also requires further study.
NGF has been shown to participate in glucose and lipid metabolism as well as feeding
behavior (19). Intraperitoneal injection of NGF stimulates the hypothalamic-pituitary-
adrenal axis and causes weight loss in rats (20). Patients with obesity have altered levels
of NGF (9, 19, 21). NGF might contribute to inflammation and metabolic disorders
associated with body weight changes (19, 21). Similarly, cancer cachexia is a complex
wasting syndrome comprised of inflammatory and metabolic disturbances (2). Pro-
inflammatory cytokines including tumor necrosis factor-alpha (TNF-�) and interleukin-
6 (IL-6) have been shown to induce cachexia by altering metabolism of lipids and
muscle proteins (2, 22, 23). NGF modulates the expression and release of these pro-
inflammatory cytokines (10, 24). Accordingly, NGF may play a role in cancer cachexia.
The varied pro-inflammatory and nociceptive effects of NGF suggest a key role
for NGF in cancer symptomatology. We hypothesize that NGF acts as a mediator of
proliferation, pain, and cachexia associated with oral cancer. In the present study, we
first quantified NGF release and expression in patients with oral squamous cell
carcinoma (SCC). We then employed two separate oral cancer models in mice to
demonstrate that anti-NGF reduces proliferation, pain, and weight loss. Interactions of
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NGF with pro-inflammatory cytokines and receptors involved in nociception were also
evaluated.
Materials and Methods
Cancer Patients
Immunohistochemistry for NGF in human tumors
Oral SCC on the affected side and normal epithelium from an anatomically-
matched area on the contra-lateral side of 14 oral cancer patients treated at the
University of California San Francisco (UCSF) Department of Oral & Maxillofacial
Surgery were obtained. Tissues were fixed with 4% paraformaldahyde (PFA),
dehydrated, embedded in paraffin, and cut into 8 μm sections. Microwave antigen
unmasking was done using Dako antigen retrieval solution (Dako, Carpinteria, CA).
Sections were then incubated with rabbit polyclonal antibodies against NGF (1:100;
Serotec, Inc., Raleigh, NC) for 2 hours. The specificity of NGF antibody was tested and
validated in our previous studies (15). Human submandibular gland was used as a
positive control as it is known to produce an abundance of NGF. Normal rabbit serum
containing mixed immunoglobulins at the concentration of the primary antibody was
used as a negative control on the salivary gland tissue specimens. Immunoreactions
were visualized with diaminobenzidine chromogen (Vector Laboratories, Peterborough,
UK) and counterstained with Mayer’s hematoxylin. This research protocol complies
with the Committee on Human Research at the University of California San Francisco.
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Reverse transcription-PCR to quantify NGF mRNA in human tumors
Oral SCC and anatomically-matched, contra-lateral normal oral epithelium from
11 oral cancer patients were surgically removed and immediately snap frozen in liquid
nitrogen and stored at -80 oC. Total RNA isolation of each sample was conducted with a
Qiagen DNA/RNA kit (Qiagen Inc., Valencia, CA) and 1μl samples were aliquoted for
RNA quantitative analysis. Reverse transcription was carried out using a High Capacity
cDNA Reverse Transcription Kit (Applied Biosystems Inc., Foster City, CA) on the
biometra thermocyler (template 10μl volumes per reaction). Quantitative real-time PCR
assays were performed in triplicate with a Taqman Gene Expression Assay kit (Applied
Biosystems Inc). The housekeeping gene �-gus was chosen as the internal control.
Controls consisted of total human brain RNA (~12ng/μl; Ambion, Austin, TX, USA)
and were negative in all runs. Relative quantification analysis of gene expression data
was conducted according to the 2-��CT method.
Cell culture of human oral SCC and control keratinocytes
Human oral cancer cells (HSC-3) were cultivated for inoculation into mouse models of
human cancer pain and proliferation. The HSC-3 squamous cell carcinoma cell line was
obtained from the Japanese Collection of Research Bioresources (JCRB). The JCRB
Cell Bank authenticated the cell line by using short tandem repeat analysis of loci with
the PCR-based PowerPlex1.2 system. Once we received the cells from JCRB the
cells were expanded and frozen stocks were prepared. For experiments, cells were used
at low passage for not more than 6 months before replenishing with fresh samples from
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the frozen stocks. Primary cultures of normal oral keratinocytes (NOK) harvested from
normal oral tissues, were cultured as previously described (25).
ELISA quantification of NGF in human oral cancer cells
HSC-3 cells and NOK were grown to confluence and then washed to remove
unattached cells. The media for both HSC-3 and NOK were replaced with DK-SFM and
incubated for an additional 72 hrs. The conditioned media was then removed,
centrifuged to remove cell debris, aliquoted and stored at -20 oC. Cells were lysed in
cold RIPA buffer containing protease inhibitor cocktails (Sigma-Aldrich, St. Louis,
MO). The lysate was centrifuged (13000 rpm for 5 min) and the supernatant was
removed, aliquoted, and stored at -20oC. NGF concentration was measured using the
NGF Emax Immunoassay ELISA kit (Promega, Madison, WI).
Proliferation assay with anti-NGF in human oral cells
To quantify the effect of NGF on cancer cell proliferation, 3×103 HSC-3 cells
were seeded in individual wells. Control groups received PBS (10μl) and experimental
groups received NGF neutralizing antibody (R&D systems, Minneapolis, MN) in PBS
(10μl of 0.025μg/ml). At predetermined time points (0, 24, 48, and 72h), 20�l of MTS
(Promega BioSciences, San Luis Obispo, CA) were added to each well for one hour and
incubated at 37oC. The samples were then quantified by MTS colorimetric assay at
490nm. The experiment was repeated in triplicate.
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Mouse Cancer Models
Behavioral mouse models of human oral cancer pain
Six to eight week-old female athymic, immunocompromised mice (BALB/c) were
purchased from Charles River Laboratories (Hollister, CA). They were housed in a
temperature-controlled room on a 12:12 light:dark cycle (0600–1800 h light), with ad
libitum access to food and water. The UCSF Committee on Animal Research approved
all procedures and researchers were trained under the Animal Welfare Assurance
Program.
Paw model: The paw-withdrawal cancer pain mouse model was produced as
previously described (26). Adult female nude mice were inoculated with 106 HSC-3
cells in 50 �l of DMEM and Matrigel™ into the plantar surface of the right hind-paw.
Tongue model: To create a mouse model that is more biologically homologous
with human oral cancer, mice were inoculated with 50 μl of 106 HSC-3 cells into the
floor of the mouth as previously described (27). The anatomic and functional features of
this mouse cancer model parallel those found in human patients with oral cancer (27).
Anti-NGF treatment and control groups
Paw. In the mouse paw-tumor model, anti-NGF antibody (Mab 256, R&D
Systems, San Jose, CA) (12.5 μg in 20 μl PBS) or vehicle control (20 μl PBS) was
injected into the right hind paw of mice starting on post-inoculation day (PID) 4
following the pain behavior measurement and twice a week thereafter until PID 21 (14).
Dosage of anti-NGF used was based on a study by Adriaenssens et al. (14). Mice were
randomly placed into four treatment groups: Group 1 received an injection of HSC-3
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cells and anti-NGF treatment (tumor + anti-NGF, n=7), Group 2 received an injection of
HSC-3 cells and PBS (vehicle control, tumor + PBS, n=7), Group 3 received an
injection of HSC-3 in the right paw and anti-NGF in the contra-lateral (CL) paw to see
whether anti-NGF has a systemic effect (tumor + CL-anti-NGF, n=5), Group 4 was
treated with anti-NGF to determine whether NGF is hypoanalgesic in naïve mice (naïve
+ anti-NGF, n=5). All groups of mice were briefly anesthetized with inhalational
isoflurane (Summit Medical Equipment Company, Bend, Oregon) during HSC-3
inoculation and drug treatments.
Tongue: In the mouse tongue-cancer model, two groups of mice were used. The
control group (n=10) received isotype IgG (50 μg in 50 μl PBS, R&D systems,
Minneapolis, MN). The anti-NGF treatment group (n=10) received 50 μg the anti-NGF
antibody in 50 μl PBS. All injections were intraperitoneal and administered twice per
week starting at post-inoculation day 13, when all mice exhibited visible tumor masses
and increased gnaw-time. We were concerned that repeated local injection of anti-NGF
into the tongue would affect the rodent’s eating and gnawing behavior so we chose a
systemic route of injection (intraperitoneal). Higher doses of systemic anti-NGF were
used in the tongue model compared to the dose given in the paw model to ensure
enough antibodies reached the tongue tumor.
Behavioral measurement
Paw-withdrawal assay: Testing was performed by an observer blinded to the
experimental groups as previously described (25). The paw withdrawal threshold was
measured using an electronic von Frey anesthesiometer (IITC Life Sciences, Woodland
Hills, CA). Paw withdrawal threshold was defined as the force in grams (mean of 8
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trials) sufficient to elicit a distinct paw withdrawal flinch upon application of a rigid
probe tip.
Dolognawmeter: The Dolognawmeter is a validated device/assay invented to
measure oral function and nociception in mice (27). Mice with tongue tumors were
evaluated twice per week with a dolognawmeter as previously described (27). In brief,
each mouse was placed into a confinement tube with two obstructing dowels in series.
The mouse voluntarily gnaws through the two dowels to escape from confinement
within the tube. Each obstructing dowel is connected to a digital timer. When the dowel
is severed by the gnawing of the mouse, the timer is automatically stopped and records
the duration of time to sever each of the two dowels. To acclimatize the mice and
improve consistency in gnawing duration, all mice were “trained” for 10 sessions in the
dolognawmeter. Training involves placing the animals in the device and allowing them
to gnaw through the obstructing dowels in exactly the same manner that they do so
during the subsequent experimental gnawing trials. A baseline gnaw-time value to sever
the second dowel was established for each mouse as the mean of the final three training
sessions. After baseline gnaw-times were established for each mouse, the mice were
inoculated with cancer cells.
Tumor size and body measurement
Mouse hind-paw volume was measured using a plethysmometer (IITC Life
Science, Woodland Hills, CA). Tongue tumor volume was calculated at the end of the
experiment by multiplying tumor length by width by thickness. Body weight was
recorded before each behavioral test. Mice did not show any significant weight changes
during baseline training trials.
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Tissue and blood processing
At the end of the experiment, mice with either cancer model were sacrificed
with isoflurane. Both tumor and normal paws were dissected and stored at -80oC in
preparation for NGF protein quantification. The paw samples were homogenized, lysed,
centrifuged, and the supernatant was removed. Total protein concentration in each
sample was determined using a BCA protein assay (Thermo Scientific, Rockford, IL).
NGF concentration was measured using the same method as previously described. In
mice with tongue cancer, blood was rapidly collected from the heart into EDTA coated
tubes. Plasma was separated with a centrifuge and stored at -20oC. Because adipose
tissue is the main source of leptin, abdominal fat was also rapidly dissected out and
stored at -80 oC. Following these manipulations, mice were perfused transcardially with
0.1 M PBS followed by 4% PFA. Trigeminal ganglia were harvested in preparation for
sensory receptor and ion channel evaluation. Both trigeminal ganglia and tongues were
removed, post-fixed in 4% PFA, and cryo-protected in sucrose gradient (20%-50%, 4
oC). Serial sections of frozen trigeminal ganglia (10 μm) and tongue (20 μm) were cut
on a cryostat and thaw-mounted on gelatin-coated slides for processing.
Immunohistochemistry for sensory receptors and proliferation
After sectioning, trigeminal ganglia and tongue sections were briefly rinsed in
PBS, incubated in goat serum (5% in PBS with 0.1% Triton X-100) for 1 hr, then
incubated overnight in the primary antibody. Trigeminal ganglia were stained for PAR-
2 (goat anti-PAR2, 1:200; Santa Cruz Biotechnology, Santa Cruz, CA), TRPV1 (rabbit
anti-TRPV1, 1:400; Fisher scientific, Pittsburg, PA), and TRPA1 (rabbit anti-TRPA1,
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1:200; Abcam, Cambridge, MA). Tongue sections were stained for Ki67 (rabbit anti-
Ki67, 1:400; Abcam, Cambridge, MA), a nuclear protein employed to evaluate
proliferation. After incubation in primary antibody, sections were rinsed in PBS three
times for 10 min each and then incubated in the FITC-AffiniPure goat anti-rabbit
secondary antibody (1:400; Jackson ImmunoResearch Laboratories, West Grove, PA)
for 1 hour at room temperature. Image analysis was performed using NIH Image J
software. The area of staining was outlined and pixel density within the selected area
was then measured and divided by the total area. Data were collected from 4 randomly
selected sections from a minimum of 5 animals per treatment group.
ELISA measurement for cytokines
Plasma IL-6 and TNF-alpha were measured using an ELISA kit from
eBioscience, Inc. (San Diego, CA). Plasma and fat leptin were measured using the
mouse leptin Quantikine ELISA kit (R&D system, Minneapolis, MN). The optical
density of the standards and samples was read at 450 nm wavelength using a Model 680
Microplate Reader (Bio-Rad Laboratories, Inc., Hercules, CA). All samples were run in
triplicate.
Statistical analysis
The statistics software SigmaPlot for Windows (version 11.0) was used to
perform all data analysis. Student’s t –test or Mann-Whitney U test was used to
compare mean or median for the two groups. Repeated-measures ANOVA with one
within-subject factor (time) and one between-subject factor (treatment) followed by
Holm-Sidak post-hoc tests were used to compare the effect of different treatments
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overtime. Simple linear regression was used to examine the correlation of cytokines
with changes in body weight, gnawing time, and tumor size. In the tongue model, three
mice in the control group were euthanized at day 22 due to advanced cancer and severe
cachexia. To best model the trend over time, missing values due to death were treated
using the last observation carried forward method for data analysis and figure
presentation. To make sure our results are not biased by this method, we also analyzed
our data by including the missing values, and found the general conclusions and
statistical significance were not affected. p <.05 was considered statistically significant.
Results are presented as mean ± S.E.M.
Results
NGF mRNA and protein levels were significantly elevated in oral cancer
Tissue biopsies from 14 oral SCC patients showed strong NGF
immunoreactivity (Fig. 1A) whereas the normal oral epithelium from the same patients
showed extremely low NGF labeling (Fig. 1B). NGF mRNA in SCC tumors was
approximately 8.9 times higher than in normal oral tissues (Fig. 1C). NGF protein
concentration was also compared between HSC-3 and NOK cells. Both cell lysate and
supernatant of HSC-3 cells contained much higher NGF levels than those of NOKs
(89.2±3.9 vs. 21.3± 6.6 pg/ml in lysate; 56.6± 3.7 vs. 20.2±5.9 pg/ml in supernatant,
respectively) (Fig. 1D). Even greater elevation of NGF protein was found in cancer
tissues collected from the mouse paw cancer model (30.3±5.1 vs. 4.7±2.0 pg/mg,
respectively) (Fig. 1E).
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Anti-NGF reduced proliferation in culture and in vivo in the tongue
In HSC-3 cell culture, anti-NGF treatment significantly decreased cell
proliferation at 24 (p<.01), 48 (p<.05), and 72 hours (p<.01) after treatment when
compared to the corresponding control group (Fig. 2A). In the tongue tumor mouse
model, anti-NGF treatment reduced tumor volume to about half of that in the control
group (p<.05) (Fig. 2C). We confirmed that the decrease in tumor volume correlated
with a decrease in cancer cell proliferation through quantification of Ki-67 positive cells
in tongue tumors (P<.05) (Fig. 2D and E). In the paw-cancer model, however, all tumor
groups had significantly larger right paw size than the group without tumor (P<.001). In
the anti-NGF treated group, a statistically insignificant trend of tumor volume reduction
was found (Fig. 2B).
Anti-NGF attenuated nociception in the cancer model animals
Paw model: Injection of anti-NGF into the mouse paw tumor reversed tactile
allodynia by an average of 25% relative to that seen in both tumor + PBS (p<.001) and
tumor + CL anti-NGF groups (p<.001), throughout the observation period. Starting on
PID 4, implantation of SCC cells into the right hind paws produced significant
mechanical allodynia (Fig. 3A) consistent with our previous report (28). In naïve mice,
anti-NGF treatment did not cause a hypoalgesic effect (P = .53, Fig. 3A). Both tumor +
PBS and tumor + CL-anti-NGF mice showed a decrease of the same magnitude in paw
withdrawal threshold compared to naïve + anti-NGF mice.
Tongue model: In the tongue-cancer model, all mice developed visible tumor
masses by post-inoculation day 7. Anti-NGF treatment completely abolished the
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progressive increase in gnaw-time caused by cancer at day 21 (p<.05), day 23 (p<.01),
and day 27 (p<.01) (Fig. 3B). Tumor size did not correlate positively with gnaw-time (p
= .35).
Anti-NGF reduced TRPV1, TRPA1, and PAR-2 labeling
Anti-NGF treatment led to a 26% reduction in TRPV1 labeling (P<.05), a 52%
reduction in TRPA1 labeling (P<.001), and a 15% reduction in PAR-2 labeling in
trigeminal ganglion cells (P<.05) (Fig. 3C and D).
Anti-NGF prevented cancer-induced weight loss
Paw- tumor groups treated with anti-NGF did not develop significant weight
loss, whereas both tumor + PBS mice lost more than 5% of their baseline body-mass
starting at the beginning of the third week (Fig. 4A). Unexpectedly, naïve mice that
were treated only with anti-NGF also lost more than 5% body-mass relative to their
baseline at the beginning of the third week (Fig. 4A). At days 18 and 21, anti-NGF
treated tumor mice were significantly heavier than tumor + PBS and naïve + anti-NGF
mice. In the tongue cancer model, by the end of the experiment, the anti-NGF treated
mice retained their original body-mass, whereas the control mice lost 10% of their
body-mass. Significant differences in percent weight change were found at days 17
(p<.05), 21 (p<.001), 23 (p<.01), and 27 (p<.01) (Fig. 4B). The transient body-mass
loss immediately following cancer cell inoculation (Fig. 4B) can be attributed to
attenuated feeding secondary the transient tongue trauma.
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Anti-NGF modulated cytokine levels
Mice treated with anti-NGF exhibited 50% lower plasma TNF-� and IL-6 (Fig.
5A and B) and 3-4 times higher leptin levels in plasma as well as in adipose tissue (the
main source of leptin) (Fig. 5C and D).
Cytokines correlated positively with tumor size, nociception, and weight-
loss
In the tongue-tumor mouse models, IL-6 was positively correlated with tumor
size (R=0.5, p<.05), gnaw-time (R=0.5, p<.05), and weight loss (R=0.6, p<.05) (Fig.
6A, B, and C). TNF-� was positively correlated with weight loss (R=0.8, p<.001) (Fig.
6D) but not with tumor size (P = .16) or gnaw-time (P = .10). Plasma and adipose leptin
concentrations were both inversely correlated with body-mass loss (R=-0.6, p<.05; R=-
0.5, p<.05, respectively) (Fig. 6E and F) but not significantly correlated with tumor size
(P = .1 and P = .86, respectively) or gnaw-time (P = .26 and P = .12).
Discussion
Our results demonstrate that NGF affects progression of oral SCC as well as
pain and cachexia associated with this cancer in patients as well as in mouse models. It
does so, in part by increasing TNF-� and IL-6, by decreasing leptin, and by increasing
expression levels of nociceptive sensory receptors. We demonstrated that NGF
production increased in the orthotopic model of human oral SCC in mice as well as in
oral SCC cell culture. Moreover, NGF blockade with antibodies reduced tumor
proliferation, nociception, and loss of body mass. In summary, NGF blockade: 1)
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yielded lower levels of TNF-� and IL-6, 2) up-regulated leptin, and 3) down-regulated
the nociceptive receptors TRPV1, TRPA1, and PAR-2 in trigeminal ganglia.
The effect of anti-NGF on tumor proliferation varies with tumor type, tumor
location and route of administration. In the current study we evaluated the effect of anti-
NGF on tumor growth in both a paw and a tongue model. For the paw model we
administered the anti-NGF locally in a manner similar to the approach employed by
Adriaenssens et al. in their study of the effect of anti-NGF in a breast cancer model
(14). For the tongue model we administered anti-NGF systemically to preclude the
possibility that repeated injection into the tongue would affect feeding behavior and
maintenance of body mass.
NGF is tumor-promoting for a variety of cancers and anti-NGF has been shown
to reduce tumor proliferation. Andriaenssens et al. demonstrated that locally injected
anti-NGF (12.5μg) decreased tumor size in a breast cancer model (14). However, we
found that local injection of anti-NGF (12.5μg) in a paw model did not have a
significant effect on tumor growth. In our tongue cancer model, anti-NGF significantly
decreased tumor size in animals given a larger systemic dose. The suppressive effect of
NGF on cancer proliferation in-vivo is confirmed by an anti-Ki-67 assay in the tongue
cancer tissue sections and corroborated with an in-vitro proliferation assay.
NGF promotes oral cancer progression in part through a mechanism that
involves IL-6. We investigated whether NGF could exert its effect by modifying
cytokine levels and demonstrated that anti-NGF reduces IL-6. We also found that IL-6
was positively correlated with tumor size. This effect is supported by the clinical
finding that patients with advanced oral cancer exhibit increased IL-6. IL-6 expression
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also correlates with poor prognosis (29, 30). Furthermore, IL-6 activates the
transcription factor NF-kappaB and the STAT3 signal transduction pathway, which in
turn regulate the expression of genes controlling cell proliferation and apoptosis in oral
cancer (29). Additional mechanisms are possible. For example, NGF could also
promote progression by interacting with its receptors TrkA and P75 in both an autocrine
and paracrine manner (31). NGF may also exert its effect on tumor progression by
promoting angiogenesis. NGF has been shown to play a role in angiogenesis in ovarian
and breast cancer (14, 32, 33), and NGF inhibition strongly reduces angiogenesis and
tumor development in mice (14).
Previous studies demonstrated that treatment with anti-NGF has a strong anti-
nociceptive effect in animal models of bone cancer (16, 17). Here we present evidence
that anti-NGF also exhibits a strong anti-nociceptive effect in mice with soft-tissue
cancers. One of the pathways by which NGF induces pain and hyperalgesia entails
modulation of expression and function of nociceptive receptors and sensory ion
channels. For example, the transient receptor potential vanilloid-1 (TRPV1) channel is
known to play a role in cancer pain (3). TRPA1 sensory channels have also been
recently reported to play important roles in orofacial pain (34) and PAR-2 is involved in
animal models of oral cancer pain (25). NGF up-regulates TRPV1 and TRPA1 in
several painful states (11, 34, 35), but a link between NGF and PAR-2 is less certain. In
this study we found that NGF not only modulates TRPV1 and TRPA1 expression, but
also up-regulates PAR-2 expression. Most importantly, anti-NGF reduced TRPA1 by
almost 50%. We infer from this finding that TRPA1 might play an important role in
mediating oral cancer pain.
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In agreement with previous findings (16, 17), we conclude that the anti-
nociceptive effect of anti-NGF does not stem from a reduction in tumor proliferation
alone. First, in the mouse paw model, we did not observe a significant reduction in
tumor size following anti-NGF administration but a significant anti-nociceptive effect
was found. Second, in the tongue cancer model, no correlation was found between
cancer size and gnaw-time. Third, anti-NGF reduced expression of nociceptive
receptors TRPV1, TRPA1, and PAR-2 in trigeminal ganglion cells. This finding
demonstrates that anti-NGF reduces pain at least in part by decreasing nociception
transduction and signaling via these receptors.
Perhaps the most novel finding of our study is that NGF is associated with
cancer-induced cachexia. The unexpected finding that anti-NGF given to naïve mice led
to reduced body mass leaves open the possibility that that a basal level of NGF is
necessary for maintenance of normal body mass. If basal NGF is too low, body mass is
lost. However, when NGF is abnormally elevated, cachexia results. For example, in
animal models of arthritis, NGF levels are elevated and anti-NGF blocks loss of body
mass. These findings support the conclusion that elevated levels of NGF contribute to
arthritis-induced cachexia (36). The manner by which NGF exerts its effect on body
mass regulation is not entirely clear. A variety of cytokines linked to inflammation,
including TNF-�, IL-6, and leptin have been proposed to play a role in body mass
regulation and cachexia (2, 22). TNF-� and IL-6 have been proposed to induce cancer
cachexia through inflammation, altered metabolism, appetite suppression, and enhanced
lipolysis and proteolysis (23). Elevated IL-6 and TNF-� levels have been found in
cachectic cancer patients (22). Both of these cytokines correlate inversely with body
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mass index (BMI) in patients with gastrointestinal cancer (37, 38). Leptin is a cytokine
that is produced mainly by adipocytes (23, 39). This cytokine regulates fat mass by
decreasing the level of neuropeptide Y in the hypothalamus and increasing resting
energy expenditure (23). These changes result in reduced food intake. The relationship
between leptin and cancer cachexia is equivocal. Serum leptin is reduced in cachectic
patients with cancers of the digestive organs (37) and ovaries (40). However, leptin
levels are higher than normal in breast cancer and prostate cancer patients (41, 42). In
patients with oral cancer, reduced leptin levels are accompanied by decreased body
mass (38, 43, 44). Our results suggest that TNF-�, IL-6 and leptin all contribute to oral
cancer-induced loss of body mass. Circulating levels of these molecules can be
influenced by targeting and manipulating NGF levels. Plasma levels of leptin correlate
with levels in adipose tissue. Since plasma leptin is proportional to levels in fat stores, it
is not surprising that untreated cancer mice have decreased plasma leptin as a
consequence of loss of fat mass. However, the ability of adipocytes to produce leptin
might have also been reduced in untreated cancer mice. NGF is known to be secreted
from both murine and human adipocytes in cell culture (45, 46), and fat cells express
the high and low affinity NGF receptors TrkA and P75 (45). Therefore, NGF might act
directly on adipocytes to modulate leptin release. Further studies are needed to elucidate
the mechanism through which NGF regulates body mass and cachexia.
Patients with advanced cancer often suffer from pain and loss of body-mass.
Despite the general consensus that tumor progression, pain, cachexia, and other cancer-
related symptoms result from production and dysregulation of pro-inflammatory
cytokines (1, 8), no studies have been carried out to investigate cancer-related
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symptoms in parallel. Such an approach might allow us to identify cellular and
molecular mediators common to cancer-related symptoms for a specific tumor type.
We have identified NGF as a key endogenous factor in the panoply of molecules
involved in the orchestration of cancer-related inflammation. NGF might be a molecule
common to the mechanisms responsible for clinically distinctive cancer symptoms such
as pain and cachexia. By suppressing pro-inflammatory cytokines and promoting anti-
inflammatory cytokines, anti-NGF could potentially correct the altered cytokine balance
observed in those who suffer from cancer. Inhibiting chronic inflammation by
neutralizing NGF might be a novel and effective approach to treat pain and cachexia
associated with certain cancers.
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Acknowledgements: This work was funded by NIH/NIDCR R21 DE018561
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Legends for Figures
Figure 1. NGF is elevated in human cancer and mouse models of oral cancer. A.
Immunohistochemistry shows strong NGF immunoreactivity in a representative tissue
biopsy from an oral cancer patient. B. In contrast, normal oral epithelium shows faint
NGF immunoreactivity. C. RT-PCR quantification of NGF mRNA in oral SCC biopsies
shows a large increase over normal tissue. D. NGF protein concentrations in human oral
cancer (HSC-3) cell culture lysate and supernatant are much higher than normal oral
keratinocytes (NOK). E. NGF protein is much higher in the tumor-bearing paw. Scale
bar = 100 μm. *p < .05, **p < .01, ***p < .001 vs. control. Two-tailed Student’s t-test
was used for data analysis.
Figure 2. Anti-NGF therapy decreased cancer proliferation in human cancer cells and
mouse models. A. Anti-NGF decreased cell proliferation rate of cultured HSC-3 cells at
24, 48, and 72 hours. B. Anti-NGF treatment did not affect tumor size in the mouse paw
model. All the tumor groups had significantly larger paw volumes compared to naïve
mice (p<.001). C. Anti-NGF treatment greatly reduced tongue tumor size. D. Ki-67
immunointensity was decreased in a representative tongue tumor following anti-NGF
treatment. E. Quantification of Ki-67 positive cells in total DAPI positive cells showed
significantly less Ki-67 activity following anti-NGF treatment. Horizontal scale bar =
100 μm.*p < .05, **p < .01, ***p < .001; in figure B p < .001 Naïve + anti-NGF vs. all
other three treatment; CL, contralateral paw. Two-tailed Student’s t-test or Mann-
Whitney U test was utilized in figures A, C, E; two-way ANOVA multiple comparisons
was used in figure B.
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Figure 3. Anti-NGF therapy decreased cancer-induced nociception. A. Anti-NGF
treatment greatly attenuated mechanical allodynia in cancer-bearing paws of mice, but
had no effect on basal mechanical sensitivity. Two-way repeated-measures ANOVA
showed a significant treatment effect (F=511.677, p<.001), and a time × treatment
interaction effect (F=1.661, p<.05); the anti-NGF group was significantly different from
all other groups (p<.001). B. In the tongue cancer model, two-way repeated-measures
ANOVA showed a significant main effect of treatment (F=10.16, p<.001) with a
significant treatment × time interaction (F=2.29, p<.05). Mice treated with anti-NGF
do not show the escalation in gnaw-time but shown by the control mice starting post-
cancer inoculation day 21. C. Immunohistochemistry of a representative trigeminal
ganglion from an anti-NGF treated tongue-cancer mouse shows lower expression of
TRPV1, TRPA1, and PAR-2 receptors. Scale bar = 100 μm. D. Anti-NGF treatment
markedly reduced TRPV1, TRPA1, and PAR-2 immunointensity in trigeminal ganglia
of mice with tongue cancer. *p < .05, **p < .01, ***p < .001
Figure 4. Anti-NGF differentially modulates body weight in normal and cancer-bearing
mice. A. Two-way repeated-measures ANOVA showed a significant main effect of
treatment (F=10.16, p <.001) and time (F=7.63, p<.001). The anti-NGF treated group
was significantly different from tumor + PBS and naïve + anti-NGF (p<.001), but was
not different from tumor + CL-anti-NGF group (p=.09). Vehicle-controlled tumor mice
had significant weight loss from their baseline at day 18 (a). In contrast, no weight loss
is shown for anti-NGF treated mice. Note that naïve mice treated with anti-NGF had
significant weight loss at day 18 (b). At Day 18 and 21, Tumor + anti-NGF group had
significantly larger body-mass compared to tumor + PBS or naïve + anti-NGF groups.
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B. In mice with tongue tumors, two-way repeated-measures ANOVA showed a
significant main effect of treatment (F=11.53, p<0.001) with a significant treatment ×
time interaction effect (F=2.8, p<0.01). Anti-NGF treatment prevented weight loss
starting at day 17. *p < .05, **p < .01, ***p < .001, #p < .05 tumor + anti-NGF vs.
tumor + PBS, ##p < .01 tumor + anti-NGF vs. tumor + PBS, ++p < .01 tumor + anti-NGF
vs. naïve +anti-NGF, +++p < .001 tumor + anti-NGF vs. naïve +anti-NGF.
Figure 5. Anti-NGF in tongue cancer mouse models decreased plasma TNF-� (A) and
IL-6 (B), and increased plasma and fat leptin (C & D). *p < .05, **p < .01, ***p < .001
vs. control. Two-tailed Student’s t-test was used for data analysis.
Figure 6. Correlation of cytokines with cancer progression, nociception, and weight
change in the tongue cancer model. A, B, C. Plasma IL-6 is positively correlated with
tumor size, gnaw-time, and weight loss. D. TNF-� is positively correlated with weight
loss. E, F. Plasma and fat leptin are inversely correlated with weight loss. Open circles:
control group. Closed circles: anti-NGF treated group. Simple linear regression was
used to test correlation.
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Published OnlineFirst July 12, 2011.Mol Cancer Ther Yi Ye, Dongmin Dang, Jianan Zhang, et al. cachexiaNerve growth factor links oral cancer progression, pain, and
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