ARTICLE
Auteur(s) : Kaori Koga1,2,
Kazuki Nabeshima2, Noriko Nishimura2, Mikiko
Shishime2, Juichiro Nakayama1, Hiroshi
Iwasaki2
1Department of Dermatology, School of Medicine,
Fukuoka University, Nanakuma 7-45-1, Jonan-ku, Fukuoka 814-0180,
Japan.
2Department of Pathology, School of Medicine, Fukuoka
University, Nanakuma 7-45-1, Jonan-ku, Fukuoka 814-0180, Japan
accepté le 31 Août 2005
Intra-tumoral angiogenesis is an important process in the
progression of solid tumours [1]. Angiogenesis depends on the
production of angiogenic factors by neoplastic and normal cells. A
number of angiogenic factors, such as vascular endothelial growth
factor (VEGF) and basic fibroblast growth factor (bFGF), have been
identified.Hypoxia-inducible factor-1 (HIF-1) is an
oxygen-dependent transcriptional activator, which induces the
transcription of more than 60 proteins, including VEGF and
erythropoietin that promote angiogenesis [2]. HIF-1 consists of α
and β subunits, both are basic helix-loop-helix proteins. The
expression of the α subunit is remarkably high during hypoxia and
is maintained at low levels in most cells under normoxic conditions
[2, 3]. Up-regulation of HIF-1α expression has recently been
reported in human cancers in association with tumor progression and
angiogenesis [2, 4].Little information is currently available on
the prevalence and distribution of HIF-1α in soft tissue tumors. To
our knowledge, there is no study on the expression of HIF-1α in
so-called fibrohistiocytic tumors such as dermatofibroma (DF),
dermatofibrosarcoma protuberans (DFSP) and malignant fibrous
histiocytoma (MFH). MFH (undifferentiated high grade pleomorphic
sarcoma [5]) is one of the most common soft tissue sarcomas in
adult life having an aggressive behavior and a high metastatic
potential, although its histogenesis has been a controversial and
unresolved issue [6]. DF is known as benign fibrohistiocytic
tumors, and DFSP as of intermediate malignancy. In this study, to
investigate whether microvessel density (MVD) is closely associated
with tumor grades or tumor malignancy in fibrohistiocytic tumors,
we studied cases of DF, a benign fibrohistiocytic tumor; DFSP, an
intermediately malignant one; and MFH, a highly malignant one.
Furthermore, we examined a correlation between expression levels of
HIF-1α and extents of angiogenesis in the tumors.
Materials and methods
Tissue samples
This study was performed on the tumor tissues from 62 patients with
fibrohistiocytic tumors, including 26 DF (4 males, 22 females; age
range, 13 – 60 [mean = 35] years), 13 DFSP (5 males, 8 females; age
range, 6 – 68 [mean = 36] years) and 23 MFH (9 males, 14 females;
age range, 23 – 85 [mean = 60] years), diagnosed at the Department
of Pathology, Fukuoka University, Japan in accordance with Local
Ethical Guidelines. Anonymous use of redundant tissue is part of
the standard treatment agreement with patients in our hospital when
no objection has been made. Each specimen obtained at surgery was
fixed in 20% formalin and embedded in paraffin. Histological
diagnosis of DF, DFSP and MFH was made according to the widely
accepted criteria [6]. All MFH cases showed the
storiform-pleomorphic subtype.
Immunohistochemisrty
Antibodies used in this study included monoclonal antibody (MAb) to
CD31 (JC/70A, DAKO, Carpinteria, CA) and rabbit polyclonal
antibodies to HIF-1α (Santa Cruz Biotechnology, Santa Cruz, CA).
Immunostaining of formalin-fixed, paraffin-embedded tissue
sections was performed using a biotin-streptavidin method (for
CD31) or Envision labelled polymer reagent (DAKO, Carpinteria, CA)
(for HIF-1α) as described before with some modifications [7].
Briefly, sections were deparaffinized, rehydrated in descending
alcohol dilutions, and washed in Tris-buffered saline, pH7.6 (TBS).
The slides for HIF-1α were immersed in 0.3% hydrogen peroxide in
methanol for 30 min at room temperature (RT) to block
endogenous peroxidase activity, and placed with citrate buffer
(0.01M pH6.0) in a microwave oven (750 W) at 95 °C for 10
minutes for the purpose of antigen retrieval. After non-specific
sites were blocked with 3% bovine serum albumin and 1% non-fat dry
milk in TBS for 30 min RT, the sections were incubated with
the primary antibody overnight at 4 °C. For CD31, the sections
were then washed in TBS, and incubated with biotinylated horse
anti-mouse IgG (Vector Laboratories, Burlingame, CA) for
30 min RT, followed by streptavidin conjugated to alkaline
phosphatase (DAKO) for another 30 min. The reaction was
revealed with naphthol AS-BI phosphate (Sigma Chemical Co., St.
Louis, MO) in 100 ml of 0.2 M TBS (pH 8.2) containing 4%
hydrochloric acid and 4% nitric acid and counterstained with
methylgreen. For HIF-1α, the sections were incubated with Envision
reagent for 30 min at RT, and the reaction was revealed with
3,3′-diaminobenzidine (DAB) (Sigma Chemical Co., St. Louis, MO),
followed by counterstaining with Mayer’s hematoxylin.
The immunohistochemical specificity of the antibody was
confirmed by negative control: substituting rabbit non-immune IgG
for the primary antibody and omitting the primary antibody in the
staining protocol.
Immunostaining was considered negative if less than 10% of the
tumor cells failed to stain. In specimens considered positive,
staining of the tumor was quantitated on a scale from 1 to 4 based
on the percentage of positive tumor cells. The scale was structured
as follows: 1+ = 10% to 25%; 2+ = 25% to 50%; 3+ = 50% to 75%; and
4+ = >75%. Furthermore, for HIF-1α immunostaining, two groups of
low (<1+, 0-25%) vs. high (>2+, 25-100%) expression were
defined as described [8]. All slides were reviewed by the same
pathologists.
Microvessel detection and counting
The method for microvessel detection and counting has been
described previously [7, 9]. Briefly, intratumor microvessels were
highlighted with anti-CD31 MAb as described above. Each sample was
then examined under low power magnification (× 40) to identify
the region of the section with the highest number of microvessels
(“hot spot”). The selected areas were scanned and individual
microvessel counts were made on a × 200 field (× 10 objective
and × 20 ocular, equivalent to 0.998 mm2). Any
endothelial cell or endothelial cell cluster, positive for CD31,
with or without a lumen and clearly separated from adjacent
microvessels, was considered as an individual vessel.
Statistical analysis
Statistical significance was evaluated with the χ2 and
Mann-Whitney U-tests. Curves for overall survival were drawn
according to the Kaplan-Meier methods, and differences between the
curves were analyzed by applying the log-rank test. The
significance level was set at 5% for each analysis.
Results
Microvessel density
Staining with anti-CD31 antibody showed intense and clear staining
of the endothelium of intra-tumoural vessels, with a low background
staining ( (figure
1A-C) ). The extent of MVD (means and standard errors of
the mean) in DF, DFSP and MFH are shown in table 1( Table 1 ). MFH showed significantly higher MVD
compared with DF (p < 0.0001) and DFSP (p = 0.0157). MVD in DF
and DFSP showed no significant difference.
Table 1 MVD and expression of HIF-1α in
fibrohistiocytic tumors
|
Tumors
|
MVD* (Mean ± SE)
|
No of positive cases (%)
|
|
HIF-1α
|
|
DF
|
|
(N = 26)
|
36.98 ± 5.13
|
8.13
|
|
DFSP
|
|
N = 13
|
48.77 ± 6.11
|
2(15)
|
|
MFH
|
|
(N = 23)
|
72.66 ± 5.98**
|
21(91)***
|
HIF1-α expression
HIF-1α immunoreactivity was located in both nuclei and cytoplasm of
tumor cells ( (figure
2) ): although cytoplasmic staining was more frequently
observed, some tumor cells show intranuclear reactivity (arrows in
( figure 2A-C ),
inset in ( figure
2B )). MFH ( (figure 2C) ) showed
increased reactivity compared with DF ( (figure 2A) ) and DFSP (
(figure 2B) ).
The immunohistochemical staining results are summarized in table 1.
Eight (31%) of 26 DF, two (15%) of 13 DFSP and 21(91%) of 23 MFH
showed positive (> 10%) HIF-1α reactivity. This positive rate of
HIF-1α expression in MFH was significantly greater than those in DF
and DFSP (p < 0.0001), while no significant difference was
demonstrated between those in DF and DFSP. The expression levels in
MFH were also significantly higher than those in DF and DFSP (>
2+ cases; 1 in DF vs 1 in DFSP vs 9 in MFH, p < 0.0001).
Moreover, within MFH, HIF-1α expression levels correlated with
the extents of MVD. Low vs. high HIF-1α expression groups were
defined as described in the Materials and Methods section. The high
expression group (n = 9) showed significantly higher MVD compared
with that in the low expression group (n = 14) (p = 0.0167, table
2( Table 2 )). However, the high and low
expression groups showed no significant difference in their
clinical outcome determined as overall survival (n = 20) (data not
shown).
Table 2 Relationship between MVD and HIF-1α expression
in MFH
|
HIF-1α expression
|
|
Low expression
|
High expression
|
|
N = 14
|
N = 9
|
|
58.46 ± 7.33
|
86.39 ± 6.66
|
Discussion
This is, to our best knowledge, the first study that explored the
expression of HIF-1α in human so-called fibrohistiocytic tumors in
association with extents of angiogenesis and tumor malignancy. MVD
and HIF-1α protein expression levels correlated with the malignant
potentials of the tumors. Furthermore, higher levels of HIF-1α
expression were associated with increased MVD in MFH. These lines
of evidence suggest a role of HIF-1α in angiogenesis and malignant
transformation in so-called fibrohistiocytic tumors.
Immunohistochemical analyses have revealed that HIF-1α is
overexpressed in many human cancers [10-17]. Although HIF-1α is a
transcriptional activator, mixed nuclear and cytoplasmic staining
patterns were observed in these studies. In our study, HIF-1α
immunoreactivity was also present in both nuclei and cytoplasm of
tumor cells, with the latter being predominant. Cytoplasmic
reactivity was often localized in perinuclear Golgi areas. Similar
results with predominant cytoplasmic reactivity were also reported
in oesophageal squamous cell carcinoma [11]: the mean percentage of
cells with nuclear localisation was 4.2% while that of cells with
cytoplasmic reactivity was 20.7%. However, the accurate reason for
these differences in staining patterns is currently unknown.
HIF-1α expression correlates with VEGF expression and MVD in
several tumor types [11-13]. Moreover, significant associations
between HIF-1α overexpression and adverse clinical outcome have
been shown in many cancers [8, 11, 17]. However, this association
is not universal, rather depending on the cancer type. For example,
in squamous cell carcinoma of the oropharynx, the degree of HIF-1α
expression correlated inversely with the rate of complete remission
of the primary tumor, local failure-free survival, disease-free
survival and overall survival [14]. In human gliomas, HIF-1α
expression levels correlated with induction of angiogenesis and
tumor grade [12]. In contrast, HIF-1α protein overexpression alone
did not influence the prognosis in ovarian cancer although HIF-1α
expression correlated with MVD [13]. This was explained by the fact
that MVD itself was not an independent prognostic factor in ovarian
cancer. Moreover, expression of HIF-1α in surgically treated
patients with head and neck cancer was associated with improved
disease-free and overall survival [15]. It was suggested that this
might reflect the potentially aggressive nature of
HIF-1–/– tumor cells, which lose their normal ability to
undergo apoptosis at a distance from blood vessels reducing their
dependence on vascular supply. In our study, HIF-1α expression
correlated with extents of MVD and tumor malignancy in so-called
fibrohistiocytic tumors, but not with clinical outcome in MFH as in
ovarian cancer.
Despite the interests in the study of angiogenic factors in many
epithelial tumors, only a few clinical reports have addressed their
expression in soft tissue tumors. HIF-1α expression was detected in
all grades of chondrosarcoma, but not in normal articular cartilage
or benign cartilage tumors [16]. This HIF-1α expression was linked
to increased VEGF expression. VEGF expression was diverse amongst
the various histologic subtypes of soft tissue sarcomas [18-20],
and leiomyosarcomas (LMS), carcinosarcomas and MFH were more likely
to overexpress VEGF than the other histologic subtypes [18]. Tumor
VEGF immunoreactivity correlated with the tumor grade in many soft
tissue sarcomas [20]. However, VEGF overexpression did not
correlate with clinical outcome in any subtype of soft tissue
sarcomas, except LMS [18, 20]. It was also shown that MVD was not a
key factor in the formation of metastasis in MFH [21]. Similarly,
our study demonstrated a correlation between HIF-1α expression and
increased MVD in MFH but no significant difference in overall
survival between the high and low HIF-1α expression groups.
However, the number of cases included in our study were too small
for this lack of HIF-1α expression levels and overall survival to
be meaningful. Further investigations with a large number of cases
are needed.
HIF-1α has pluripotent functions in tumorigenesis. On the one
hand, HIF-1α supports tumor growth by induction of angiogenesis via
transactivation of the VEGF gene and VEGF-independent mechanisms
[22]. On the other hand, HIF-1α activates the transcription of
genes that are involved in crucial aspects of cancer biology,
including cell survival and glucose metabolism [2]. Moreover,
HIF-1α expression activates programs of gene expression controlling
cancer cell invasion [23]. Expression of HIF-1α is enhanced by
intratumoral hypoxia, genetic alternations in tumor suppressor
genes and oncogenes, and by several growth factors [2, 23].
Significantly upregulated HIF-1α in MFH may be influenced by these
many factors and involved in the various aspects of
tumorigenesis.
The involvement of HIF-1α in tumor angiogenesis and progression
makes this transcription factor an attractive target for cancer
therapy. Many strategies to look for inhibitors of HIF-1α are
ongoing [2]. Our study may support the therapy targeting HIF-1α for
MFH.
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