Background
In this study, we hypothesized that microcystic, elongated, fragmented (MELF)-pat-
tern, vascular endothelial growth factor (VEGF) expression by cancer cells and microvessel density
of cancer stroma may be associated with progression of endometrioid adenocarcinoma. Methods:
The study used data from the Belarus Cancer Registry and archival histological material of 100
patients with retrospectively known good (survival) and poor (disease progression and death) out-
comes. All cases were immunohistochemically stained for CD34 and VEGF . Two independent
samples were compared for the characteristics of signs, and obtained results were analyzed by
receiver operating characteristic analysis, Mann-Whitney U test,
χ2 test (Yates correction), and
Mantel-Cox test. Multivariate Cox hazard analysis and Spearman correlation test were used. A p-
value of less than .05 was considered statistically significant.
Results
The observed survival rate
of patients with endometrioid adenocarcinoma was significantly lower (p = .002) in MELF-pattern
positive patients when compared with MELF-pattern negative patients. The overall survival rate of
patients whose tumors had more than 114 vessels/mm2 of tissue was significantly low (p < .001).
Interestingly, a similar observation was found in patients with increased vessel area, evidenced by
VEGF expression in the glandular tumor component. Conclusions: Our study suggests, for the
first time, that these criteria may be used as risk factors of endometrioid adenocarcinoma pro-
gression during 5 years after radical surgical treatment. However, a large independent cohort of
samples should be considered in the future to validate our findings.
Key Words: Carcinoma, endometrioid; Vascular endothelial growth factor; Prognosis; MELF; Vessel
density
Received: May 14, 2017
Revised: July 6, 2017
Accepted: July 19, 2017
Corresponding Author
Dmitry Aleksandrovich Zinovkin, MD
University Research Laboratory, Gomel State
Medical University, Lange Str. 5, Gomel, Belarus
Tel: +375-29-182-7416
Fax: +375-232-77-36-72
E-mail:
[email protected]
Journal of Pathology and Translational Medicine 2017; 51: 456-462
https://doi.org/10.4132/jptm.2017.07.19
▒ ORIGINAL ARTICLE ▒
The stromal microenvironment of tumors is gradually becoming
a main focus in the field of cancer research. It is believed that
malignancy is a result of complex molecular and cellular inter-
actions between the elements of tumor microenvironment and
surrounding host tissues which induce selection and expansion
of the neoplastic cells.
1 In 2005, Zigrino et al.2 reported an inter-
action of tumor cells with the stromal elements during tumor
progression and paid special attention to the ability of the neo-
plastic cells to modify stroma by changing the adjacent connective
tissue and modulating cellular metabolism of the host. In such
circumstances, a new stroma is formed in areas of tumor invasion,
including the parts of distant metastases, creating favorable
conditions for the aggressive potential of tumor cells. This event
in the areas of active cancer cell invasion is common in tumor
progression.
2
Murray et al.3 introduced the acronym “MELF” (microcystic,
elongated, fragmented) which describes the unusual changes in-
curred by the endometrioid adenocarcinoma (EA) when invading
into the myometrium. These changes are characterized by the
formation of microcysts lined with eosinophilic cytoplasm, elon-
http://jpatholtm.org/https://doi.org/10.4132/jptm.2017.07.19
MELF, Vessels in Endometrial Carcinoma • 457
gated glandular structures, and clusters of individual cells. 3
Though earlier it was believed that this fibromyxoid stromal
reaction was initially a degenerative process, a number of studies
have shown that the MELF pattern can be a specific tumor stroma
reaction, similar to the epithelial-mesenchymal interactions
observed in other tumors.
4
Angiogenesis is defined by formation of new blood vessels
from preexisting ones, playing a key role in uncontrolled prolif-
eration of cells, survival of localized malignant cells and distant
tumor invasion. Increased microvessel density, an indirect marker
of intense tumor vascularization, is known to be associated with
both evolution of the disease and patient survival. The formation
of new vessels depends on the interaction between different
hormones/growth factors and microvascular endothelial cells
lining the existing microvessels.
5,6 The endometrium expresses
several growth factors involved in angiogenesis, including epidermal
growth factor, transforming growth factor, and vascular endo-
thelial growth factor (VEGF). VEGF is one of the most common
promoters of angiogenesis, expressed even by the normal endo-
metrium. As an angiogenetic factor, VEGF stimulates proliferation
of endothelial cells and also increases vascular permeability and
protein extravasations.
7-9
In this study, we hypothesized that MELF-pattern, VEGF
expression by cancer cells, and microvessel density may be asso-
ciated with the progression of EA and survival of patients.
Therefore, we investigated the role of vessel and stroma of tumor
microenvironment and reported for the first time that these criteria
may be used as prognostic factors for EA of the uterine corpus.
Materials and methods
Ethical approval
The study was approved by the Committees for Medical and
Health Sciences of Research Ethics of Republican Research
Center for Radiation Medicine and Human Ecology and Gomel
State Medical University. Dispensation from the requirement of
patient consent was granted.
Patient characteristics
This retrospective study involved women with endometrial
EA who were treated between January 2010 and December
2012 in the Grodno region, Republic of Belarus. The inclusion
criteria for the study were stage I–III (International Federation
of Gynecology and Obstetrics [FIGO], 2009), the presence of
EA as the main cause of death, progression of the tumor, age
between 45 and 80, hysterectomy, and an absence of malignant
tumors in other parts of the body. The control subjects were selected
cases of EA stage I–III with 5-year survival, age between 45 and
80, and no history of other malignant tumors. The exclusion
criteria for the study were as follows: stage IV (FIGO, 2009),
death from postoperative complications during the first month
after hysterectomy, death from causes not related to EA progression,
Lynch syndrome, synchronous and metachronous malignancies,
and age less than 45 or more than 80.
A total of 100 out of 156 cases of EA during the study period
were determined to be eligible for inclusion in the study. The
power analysis demonstrated that the number of patients was
sufficient to conduct further research. The study used data from
the Belarus Cancer Registry and archival histological material of
100 patients with histopathological diagnosis of EA. Histologic
typing was performed according to the histological classification
of endometrial cancer by the World Health Organization. Patients
were divided into two groups. The first group included 48 subjects
who had recurrence or died of EA within 5 years after diagnosis
(unfavorable outcome). The second group consisted of 52 subjects
who had no recurrence or death within 5 years after diagnosis
(favorable outcome). The average age in the group with favorable
outcome was 62.7
± 10.1 years and it was 65.2 ± 9.6 years in the
group with an unfavorable outcome. Patient characteristics by
FIGO stage and tumor grade are presented in Table 1.
Hematoxylin and eosin staining protocol
Five-micrometer-thick sections were prepared from the archival
histological blocks. They were mounted on microscopic slides.
Next, the sections were deparaffinized in two portions of xylene
and rehydrated in descending concentrations of ethanol. Subse-
quently, they were stained with hematoxylin and eosin by standard
methods. The sections were cleansed in carbolic xylene, dehy-
drated in ascending alcohol concentrations, dried and mounted
under coverslips using Biomount medium (DAKO, Glostrup,
Table 1. Characteristics of the patient groups by FIGO stage (2009)
and tumor grade
Characteristic Unfavorable outcome group
(n = 48)
Favorable outcome group
(n = 52)
FIGO
I 20 23
II 23 23
III 5 6
Grade
G1 17 16
G2 25 31
G3 6 5
FIGO, International Federation of Gynecology and Obstetrics.
http://jpatholtm.org/ https://doi.org/10.4132/jptm.2017.07.19
458 • Zinovkin DA, et al.
Denmark).
Primary antibodies and detection system
Primary antibodies used in this study include the following:
ready-to-use monoclonal rabbit anti-CD34 (clone EP88) and
ready-to-use polyclonal rabbit anti-VEGF (Diagnostic Biosystems,
Pleasanton, CA, USA). Mouse/Rabbit PolyVue Plus HRP/DAB
Detection System (Diagnostic Biosystems) was used for primary
antibodies visualization.
Immunohistochemical staining protocol
The 4–5-μm-thick sections of tissue on l-polylysine coated glass
slides were deparaffinized and washed with distilled water for 3
minutes. Antigen retrieval was performed using antigen unmasking
solutions Tris-EDTA buffer (1 mM, pH 9.0) and citrate buffer
(1 mM, pH 6.0), with preheating in the microwave at 800 W for
5 minutes and at 600 W for 10 minutes, respectively. The sections
were then allowed to cool in the same solution. Endogenous
peroxidase blocking was performed in 5% hydrogen peroxide for
20 minutes, and blocking of nonspecific antibody binding was
ensured by incubating the sections in 5% casein in Tris-buffered
solution for 1 hour. Following a brief wash in Tris-buffered solution,
the sections were incubated in moist chamber at room temperature
for 2 hours with corresponding primary antibodies. Tissue sections
were then incubated at room temperature for 30 minutes with anti-
mouse horseradish peroxidase secondary antibodies. Between each
step the sections were washed twice with Tris-buffered solution
for 5 minutes each. The reaction product was visualized with
3.3’-diaminobenzidine staining for 5 minutes, followed by Mayer’s
hematoxylin counter-staining.
10
Morphometry
Determination of tumor vessels of microvasculature was carried
out in the field with the largest number of capillaries (hot spots).
The number and the area of vessels per 1 mm2 were determined
by counting the number in 5 fields under the magnification of
× 400. These results were converted to 1 mm2 area of the tumor
tissue. The microscope Nikon Eclipse 50i with digital camera DS-
F1 and NIS-Elements software (Nikon, Tokyo, Japan) was used
for this morphometric work.
Statistical analysis
All data were presented by the median, lower and upper quar-
tiles. A two-tailed Fisher test was used to compare the groups
according to the presence or absence of MELF-pattern. Mann-
Whitney test and receiver operating characteristic (ROC)-analysis
were used for comparing the study groups based on the evaluated
criteria. Determining the confidence interval (CI) and the area
under the ROC-curve were the compulsory component of the
ROC-analysis. The quality prediction model was labelled excel-
lent at area under the curve 0.9–1.0, very good at 0.8–0.9, good
at 0.7–0.8, medium at 0.6–0.7, and unsatisfactory at 0.5–0.6.
According to the threshold indicator, the patients were divided
into two groups for 5-year survival analysis by Mantel-Cox test. A
Spearman correlation test was used for groups. A multivariate
Cox proportional hazard analysis was developed using stepwise
regression (forward selection, enter/remove limits p
= .10) to identify
independent predictors of outcomes. A p-value of less than .05
was considered statistically significant. R v.3.4.0 free soft was
used for statistical analysis.
Results
MELF-pattern
Distinctive changes in the glands that characterized the MELF-
pattern were related with fibromyxoid stromal reaction. For instance,
invasion of the myometrium by tumor glands showed that there
is an absence of fibroblastic reaction (Fig. 1A). Intriguingly, fibro-
myxoid reaction compressing cancer glands were observed in
the MELF pattern as expected (Fig. 1B).
The MELF-pattern was observed in eight cases (16.7%) in the
group with favorable outcome. Fibromyxoid changes were typical
for the MELF-pattern which was observed in 17 cases (56.7%)
of EA in the group with unfavorable outcome. Statistical differ-
ence (p
= .014) was detected by comparing the number of the
MELF-pattern present in the two groups. The observed survival
rate of a patient with EA was significantly lower (p = .002) when
MELF pattern was present compared with when MELF-pattern
was not present (Fig. 2A).
Number of vessels
In the group with favorable outcome of the disease, the vessels
were mostly detected in a small or moderate amount, with an oval-
shaped lumen. Slight atypia was observed in the endothelium
where the basement membrane was visualized throughout the
cross-section of the vessels (Fig. 1C). On the contrary, the vessels
of the microvasculature within the hot spot areas in cases with
unfavorable outcome had mostly irregularly-shaped lumen.
They were closely located to each other, often forming a densely
branching network. It should be noticed that the endothelium
had an irregular shape and an irregular intermittent basement
membrane in the unfavorable outcome group (Fig. 1D).
http://jpatholtm.org/https://doi.org/10.4132/jptm.2017.07.19
MELF, Vessels in Endometrial Carcinoma • 459
Fig. 1. (A) Stroma without fibroblastic reaction and tumor glands invading the myometrium. (B) MELF-pattern of the stroma with fibromyxoid
reaction compressing the cancer glands. (C) Vessels in EA stroma with round lumen in group of patients with favorable outcome (arrows,
CD34 immunostaining). (D) A large number of unusual vessels with dilated lumens in group of patients with unfavorable outcome (arrows,
CD34 immunostaining). (E) Weak focal expression of VEGF in glands of EA, commonly detectable in patients with good outcome (VEGF immu-
nostaining). (F) Diffuse strong expression of VEGF in glands of EA in cases of unfavorable outcome (VEGF immunostaining). MELF, microcystic,
elongated, fragmented; EA, endometrioid adenocarcinoma; VEGF, vascular endothelial growth factor.
A
C
E
B
D
F
http://jpatholtm.org/ https://doi.org/10.4132/jptm.2017.07.19
460 • Zinovkin DA, et al.
In the group of patients with unfavorable outcome, the median
number of vessels in 1 mm2 of EA tissue was 139.1 (range, 74.1
to 174.6), and in the group with favorable outcome the median
was 95.5 (range, 57.0 to 171.0). A significantly increased number
of vessels were detected in the group with unfavorable outcome
(p
< .001; z = 5.625), compared to favorable outcome group.
The ROC-analysis of this index showed that the area under
the ROC-curve was 92.3% (95% CI, 82.5 to 97.6; p < .001).
The sensitivity was 86.7% (95% CI, 69.3 to 96.2), the specificity
was 96.7% (95% CI, 82.8 to 99.9), and the threshold value of
the index was 114.0 vessels/mm
2.
After studying the overall survival rate of patients with EA
depending on the number of vessels in 1 mm2 of tumor, it was
found that the survival rate was statistically lower (p < .001) in
patients whose tumors had more than 114.0 vessels/mm2 of tumor
tissue (Fig. 2B).
Area of the vessels
The median of the vessel area in 1 mm2 of tumor tissue in
group 1 was 4,904.1 µm2/mm2 (range, 4,400.1 to 6,245.1 µm2/
mm2). The median of this index in the second group was 2,818.9
µm2/mm2 (range 1,348.2 to 5,449.8 µm2/mm2). A significantly
larger area of vessels was detected in the unfavorable outcome
group (p
< .001, z = 6.247) compared with the favorable out-
come group.
After performing ROC-analysis of the vessel area in 1 mm2 of
tumor tissue, it was found that the area under the ROC-curve
was 97.0% (95% CI, 89.0 to 99.7; p
< .001). The sensitivity,
specificity, and threshold value of the index were 100% (95%
CI, 88.4 to 100.0), 96.7% (95% CI, 82.8 to 99.9), and 3,541.2
µm
2/mm2, respectively.
The study of the overall survival rate of patients with EA
depending on the vessel area of 1 mm2 of tumors showed that
the survival rate was statistically lower (p < .001) in patients
whose vascular area in tumors was more than 3,541.2 µm2/mm2
(Fig. 2C).
VEGF
The expression of VEGF, one of the main stimulators of angio-
genesis, was observed in all cases of EA. Diffuse expression of
this marker was detected in the stroma and glandular component
of EA. However, in cases of favorable outcome, a weak staining
was observed in the cytoplasm, indicating a lower expression of
VEGF (Fig. 1E). In the glandular component of the tumor, VEGF
Days
0 1,000 2,000 3,000 4,000
100
80
60
40
20
0
Survival (%)
≤ 3,541.2 μm2/mm2
> 3,541.2 μm2/mm2
C
Days
0 1,000 2,000 3,000 4,000
100
80
60
40
20
0
Survival (%)
≤ 114 mm2
> 114 mm2
B
Days
0 1,000 2,000 3,000 4,000
100
80
60
40
20
0
Survival (%)
≤ 58.1%
> 58.1%
D
Days
0 1,000 2,000 3,000 4,000
100
80
60
40
20
0
Survival (%)
MELF–
MELF+
A
Fig. 2. Cumulative proportion survival. (A) MELF-pattern. (B) Number of vessels per 1 mm2. (C) Area of vessels per 1 mm2. (D) VEGF expres-
sion by tumor glands. MELF, microcystic, elongated, fragmented; VEGF, vascular endothelial growth factor.
http://jpatholtm.org/https://doi.org/10.4132/jptm.2017.07.19
MELF, Vessels in Endometrial Carcinoma • 461
expression was, however, more evident and uniform. In the group
with unfavorable outcome, an opposite result of immunohisto-
chemistry was observed: the VEGF expression was strong, detected
as brown staining foci in the cytoplasm of the tumor cells (Fig. 1F).
In cases with unfavorable outcome, the median of VEGF expres-
sion was 82.1% (range, 59.1% to 100.0%) and it was statistically
higher (p < .001; z = 6.616) in comparison with the median of cases
with favorable outcome, which was 49.0% (range, 20.8% to 62.1%).
The ROC-analysis of VEGF expression showed that the area
under the ROC-curve was 99.8% (95% CI, 93.6 to 100.0; p <
.001). The sensitivity was 100.0% (95% CI, 88.4 to 100.0) and
the specificity was 96.7% (95% CI, 82.8 to 99.9). The threshold
value of the index was 58.1%. The survival rate was statistically
lower (p < .001) in patients whose VEGF expression of the glandular
tumor component was more than 58.1% (Fig. 2D), as expected.
Correlation analysis
Our study demonstrated a significant correlation between the
MELF-pattern and VEGF expression in both groups. For instance,
the correlation between the two was r = .541 (p < .001). This was
also observed between VEGF expression and the area of vessels
(r
= .762, p < .001) and number of vessels (r = .648, p < .001). Corre-
lation analysis describes the changes in cancer stroma caused by
VEGF expression in cancer cells.
Multivariate Cox’s proportional hazard model
A multivariate Cox’s regression analysis revealed that MELF-
pattern and the area and number of vessels per 1 mm2 of tumor
tissue are independent prognostic factors of 5-year survival of
patients with EA (Table 2).
Discussion
Our study shows that the MELF pattern is more frequently
observed in cases with unfavorable outcome than in those with
favorable outcome, suggesting that the presence of MELF pattern
may be a prognostic factor for patient survival. It can be assumed
that MELF is a “medium” which enhances the spread of the tumor
cells. After aggressive radiation therapy, a similar change of fibro-
myxoid response in the stoma was observed in squamous cell
carcinoma of the vulva, just as MELF pattern in EA.
11 Immu-
nohistochemical and genetic study of MELF pattern in EA dis-
closed stromal cell separation and disappearance and downregu-
lation of E-cadherin expression.
12 As pointed out by several
authors, these changes are probably crucial in increasing the inva-
sive capacity of EA and intensification of its metastatic potential.
In the univariate analysis, the presence of stromal fibromyxoid
reactions by MELF pattern was associated with an unfavorable
prognosis of EA.
8,10,11
The number and area of microvessels in our study showed
statistically significant difference between the survival rates of
patients with favorable outcome and unfavorable outcome. This
can be used as a strong potential prognostic factor in the survival
of patients with EA. Microvessel density in tumor-invaded tissue
is increased by local angiogenesis that results in enhanced cancer
cell proliferation during tumor progression. In gynecological
cancer, angiogenesis is one of the crucial factors of tumor progres-
sion and plays a significant role in the maintenance of the growth
of malignancies and their metastatic potential.
13 Some authors
suggested that the density of vessels of microvasculature is an
indirect marker of the intensity of tumor vascularization, which
is known to be associated with the progression of endometrial
cancer and 5-year survival rate.
14,15 In such reports, immunohis-
tochemical marker CD34 was proven useful in the detection of
these endothelial cells.16 The immunohistochemical expression
of CD34 by endothelial cells allows counting the number and
area of tumor vessels, which are prognostic signs that do not
depend on other tumor characteristics, such as expressions of
proliferation markers and adhesion molecules.
17
Our study shows VEGF expression as a predictor of survival
in patients with EA. For instance, the higher the expression of
VEGF in cancer cells, the lower the survival of the patients, as
predicted in our study. Nowadays, VEGF is the most frequently
studied angiogenic promoter; its expression is observed in the
normal endometrium as well as in other uterine malignancies,
although it is higher in cancer tissue when compared with normal.
18
VEGF stimulates endothelial cell proliferation, but it also increases
vascular permeability, which helps the tumor cells to migrate to
metastatic sites.19-21 Saito et al.22 reported that based on the surgical
Materials
of 85 cases of EA, there was a significant VEGF expres-
sion in both highly differentiated and moderately differentiated
tumors compared to poorly differentiated ones. In addition, it was
reported that estrogen levels decrease the expression of VEGF,
which may be an indication of increased survival of patients
with EA.
23
Table 2. Multivariate Cox’s proportional hazard model analysis of
prognostic factors in patients with endometrioid adenocarcinoma
Factor p-value Hazard ratio 95% CI
MELF-pattern .013 2.20 1.18–4.09
No. of vessels .009 3.31 1.33–8.16
Area of vessels < .001 1.03 1.01–1.17
CI, confidence interval; MELF, microcystic, elongated, fragmented.
http://jpatholtm.org/ https://doi.org/10.4132/jptm.2017.07.19
462 • Zinovkin DA, et al.
We showed for the first time that there is a significant presence
of MELF pattern and an increased number and area of vessels in
cases of EA with unfavorable outcome. In our study, VEGF expres-
sion correlated with the area and number of vessels, but it did
not have any predictive force according to multivariate Cox’s
proportional hazard analysis. Although our data suggest that
these criteria may be used as prognostic factors of EA during
the 5 years after radical surgical treatment, a larger independent
cohort of samples should be studied to verify these findings.
Conflicts of Interest
No potential conflict of interest relevant to this article was
reported.
References
1. Gacche RN, Meshram RJ. Targeting tumor micro-environment for
design and development of novel anti-angiogenic agents arresting
tumor growth. Prog Biophys Mol Biol 2013; 113: 333-54.
2. Zigrino P , Löffek S, Mauch C. Tumor-stroma interactions: their role
in the control of tumor cell invasion. Biochimie 2005; 87: 321-8.
3. Murray SK, Young RH, Scully RE. Unusual epithelial and stromal
changes in myoinvasive endometrioid adenocarcinoma: a study of
their frequency, associated diagnostic problems, and prognostic
significance. Int J Gynecol Pathol 2003; 22: 324-33.
4. Dogan Altunpulluk M, Kir G, Topal CS, Cetiner H, Gocmen A. The
association of the microcystic, elongated and fragmented (MELF)
invasion pattern in endometrial carcinomas with deep myometrial
invasion, lymphovascular space invasion and lymph node metas-
tasis. J Obstet Gynaecol 2015; 35: 397-402.
5. Kukreja I, Kapoor P , Deshmukh R, Kulkarni V . VEGF and CD 34: a
correlation between tumor angiogenesis and microvessel density-an
immunohistochemical study. J Oral Maxillofac Pathol 2013; 17: 367-73.
6. Z
˙yła MM, Kostrzewa M, Litwin´ska E, Szpakowski A, Wilczyn´ski
JR, Stetkiewicz T. The role of angiogenic factors in endometrial
cancer. Prz Menopauzalny 2014; 13: 122-6.
7. Stefansson IM, Salvesen HB, Immervoll H, Akslen LA. Prognostic
impact of histological grade and vascular invasion compared with
tumour cell proliferation in endometrial carcinoma of endometrioid
type. Histopathology 2004; 44: 472-9.
8. Stefansson IM, Salvesen HB, Akslen LA. Vascular proliferation is
important for clinical progress of endometrial cancer. Cancer Res
2006; 66: 3303-9.
9. Stewart CJ, Crook ML, Manso L. Fascin expression in low-grade
uterine endometrioid adenocarcinoma: correlation with microcystic,
elongated and fragmented (MELF)-type alteration at the deep inva-
sive margin. Histopathology 2011; 59: 73-80.
10. Bajracharya D, Shrestha B, Kamath A, Menon A, Radhakrishnan R.
Immunohistochemical correlation of matrix metalloproteinase-2
and tissue inhibitors of metalloproteinase-2 in tobacco associated
epithelial dysplasia. Dis Markers 2014; 2014: 197813.
11. Zaino RJ. Unusual patterns of endometrial carcinoma including
MELF and its relation to epithelial mesenchymal transition. Int J
Gynecol Pathol 2014; 33: 357-64.
12. Stewart CJ, Crook ML. Galectin-3 expression in uterine endometrioid
adenocarcinoma: comparison of staining in conventional tumor
glands and in areas of MELF pattern myometrial invasion. Int J
Gynecol Pathol 2010; 29: 555-61.
13. Erdem O, Erdem M, Erdem A, Memis L, Akyol G. Expression of
vascular endothelial growth factor and assessment of microvascular
density with CD 34 and endoglin in proliferative endometrium,
endometrial hyperplasia, and endometrial carcinoma. Int J Gynecol
Cancer 2007; 17: 1327-32.
14. Aybatli A, Sayin C, Kaplan PB, Varol F, Altaner S, Süt N. The inves-
tigation of tumoral angiogenesis with HIF-1 alpha and microvessel
density in women with endometrium cancer. J Turk Ger Gynecol
Assoc 2012; 13: 37-44.
15. Haldorsen IS, Stefansson I, Grüner R, et al. Increased microvascular
proliferation is negatively correlated to tumour blood flow and is
associated with unfavourable outcome in endometrial carcinomas.
Br J Cancer 2014; 110: 107-14.
16. Ozdemir O. Mast cell density, angiogenesis, and their significance
in tumor development. Gynecol Oncol 2006; 100: 628-9.
17. Simionescu C, Ma
˘rga˘ritescu C, Stepan A, Pirici D, Ciurea R, Cernea
N. Tumor angiogenesis, macrophages and mast cell microdensities
in endometrioid endometrial carcinoma. Oncol Lett 2013; 6: 415-20.
18. Nunobiki O, Nakamura M, Taniguchi E, et al. Adrenomedullin,
Bcl-2 and microvessel density in normal, hyperplastic and neoplastic
endometrium. Pathol Int 2009; 59: 530-6.
19. Schmid BC, Oehler MK. Improvements in progression-free and
overall survival due to the use of anti-angiogenic agents in gyneco-
logic cancers. Curr Treat Options Oncol 2015; 16: 318.
20. Saarelainen SK, Staff S, Peltonen N, et al. Endoglin, VEGF, and its
receptors in predicting metastases in endometrial carcinoma. Tumour
Biol 2014; 35: 4651-7.
21. Wang J, Taylor A, Showeil R, et al. Expression profiling and signifi-
cance of VEGF-A, VEGFR2, VEGFR3 and related proteins in endo-
metrial carcinoma. Cytokine 2014; 68: 94-100.
22. Saito M, Sato Y, Watanabe J, Kuramoto H, Kaba S, Fukuda T. Angio-
genic factors in normal endometrium and endometrial adenocarci-
noma. Pathol Int 2007; 57: 140-7.
23. Matias-Guiu X, Davidson B. Prognostic biomarkers in endometrial
and ovarian carcinoma. Virchows Arch 2014; 464: 315-31.
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