Prognostic significance of CD68, CD163 and Folate receptor‑β positive macrophages in hepatocellular carcinoma

  • Authors:
    • Koji Minami
    • Kiyokazu Hiwatashi
    • Shinichi Ueno
    • Masahiko Sakoda
    • Satoshi Iino
    • Hiroshi Okumura
    • Motoyuki Hashiguchi
    • Yota Kawasaki
    • Hiroshi Kurahara
    • Yuko Mataki
    • Kosei Maemura
    • Hiroyuki Shinchi
    • Shoji Natsugoe
  • View Affiliations

  • Published online on: March 14, 2018     https://doi.org/10.3892/etm.2018.5959
  • Pages: 4465-4476
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Abstract

Cluster of differentiation (CD)68 may be used as a pan‑macrophage or M1 marker, whereas CD163 may be used as an M2 marker. Furthermore, folate receptor (FR)β exhibits an M2‑like functional profile. In the present study, CD68 and CD163 were used to evaluate and classify tumor‑associated macrophages (TAMs). The expression of CD68, CD163 and FRβ by TAMs in hepatocellular carcinoma (HCC) Tissues was investigated. Samples from 105 patients with HCC were evaluated using immunohistochemistry. The results revealed that CD68 and CD163 overexpression was associated with a worse prognosis. The number of CD68 positive cells observed was significantly higher in patients with stage IV cancer. Furthermore, an increase in CD68 positive cells was observed in patients with median tumor size ≥3.5 cm and in patients with poorly differentiated HCC. The number of CD163 positive cells was also significantly increased in patients with median tumor size ≥3.5 cm and in those with poorly differentiated HCC. A low CD163/68 ratio was correlated with a worse outcome. The ratio was significantly lower in patients with stage IV cancer, patients with des‑gamma‑carboxy prothrombin abnormalities, patients with blood vessel infiltration and patients with intrahepatic metastasis. The number of FRβ positive cells was not correlated with clinicopathological features. The results of the present study indicate that overexpression of CD68 and CD163 may be associated with a worse patient outcome. The evaluation of CD68 and CD163 positive cells in a cancer microenvironment is controversial. TAMs are not simply cells with single markers or restricted M1 or M2 phenotypes; they are more diverse and heterogeneous. Further studies are required to determine the cross‑interaction between diverse TAMs and the tumor microenvironment.

Introduction

Hepatocellular carcinoma (HCC) is the most common liver cancer (1). Currently, HCC is the third most deadly and fifth most common cancer worldwide (1,2). Chronic infection with hepatitis B virus, which affects ~5% of the global population, or hepatitis C virus (HCV), affecting which affects 2% of the global population, is a risk factor for the development of HCC (3). In Japan, a large number of patients are infected with hepatitis and, in 2008, HCC was the fourth most deadly and the sixth most common cancer in Japan (4).

It has been reported that inflammation serves important roles in tumorigenesis. A number of environmental causes and risk factors for cancer are associated with certain forms of chronic inflammation; it has been suggested that ≤20% of cancers, including HCC, are linked to chronic infections (5). Chronic inflammation has long been associated with an increased incidence of malignancy and similarities in regulatory mechanisms have been suggested. The infiltration of innate immune cells, including macrophages and neutrophils, into tumors promotes tumor development via various mechanisms (5). Tumor-associated macrophages (TAMs) are associated with myeloid-derived suppressor cells and are key prototypic components of inflammation that drive neoplastic progression (6). It is known that solid tumors are generally infiltrated by macrophages (7). Studies have revealed that a high degree of macrophage infiltration is associated with poor prognosis for a number of human malignancies, including hepatocellular, colon, breast and lung carcinoma, and brain gliomas (712).

Polarized M1 and M2 macrophages represent the extremes of a continuum of functional states for TAMs. The classically activated M1 macrophages are potent effector cells that kill microorganisms and tumor cells and produce copious amounts of proinflammatory cytokines (13). M2 macrophages tune inflammatory responses and adaptive Th1 immunity to promote angiogenesis as well as tissue remodeling and repair (13). Previous studies have indicated that cluster of differentiation (CD)68 and CD163 are the most common TAM markers (14,15).

CD68, first identified as a KP1 monoclonal antibody, recognizes epitopes in a wide variety of tissue macrophages, including Kupffer cells, germinal center, splenic and lamina propria macrophages, and granulocyte precursors (16). CD163, first identified as an RM3/1 monoclonal antibody, was discovered during the search for specific differentiation markers for mononuclear phagocytes (17). CD163 has been confirmed to be a phenotypic marker of M2 macrophages that can be used to distinguish M2 and M1 macrophages (17).

The folate receptor (FR) family includes four members that bind folic acid with high affinity (18,19). The FRβ gene encodes glycosyl phosphatidylinositol-anchored endocytic receptors expressed in certain epithelial tissues, normal myeloid tissues and acute myelogenous leukemia (2022). FRβ expression has been reported in TAMs, which exhibit an M2-like functional profile and exert potent immunosuppressive functions within the tumor environment (18).

In the present study the expression of CD68, CD163 and FRβ in TAMs from 105 HCC specimens was investigated using immunohistochemistry. The association between these markers and clinicopathological features in patients with HCC was also assessed.

Patients and methods

Patient characteristics

A total of 105 patients with primary HCC were treated using hepatic partial resection at the Department of Digestive Surgery, Kagoshima University Graduate School of Medicine (Kagoshima, Japan) between January 1996 and December 2002. The patients comprised 83 men and 22 women, with a median age of 64.7 years. Of these patients, 19 patients tested positive for the hepatitis B surface antigen, 73 were positive for the antibody to HCV and 13 were negative for the two viruses. The mean tumor diameter was 46.4 mm (range 10–150 mm). Macroscopically, 67 cases (63.8%) had simple nodular tumors, whereas 38 cases (36.2%) comprised other types. Microscopically, 20 tumors (19.0%) were well-differentiated HCC, 74 tumors (70.5%) were moderately differentiated and 8 tumors (7.6%) were poorly differentiated. A total of 36 tumors had infiltrated blood vessels and 27 cases presented with intrahepatic metastasis. For comorbidities, 41 cases presented with hypertension, 34 cases with diabetes mellitus and 12 cases with hyperlipidemia (Table I). Patients with a history of treatment for HCC and synchronous or metachronous multiple cancers in other organs were excluded from the present study. Follow-up data were obtained from all patients post-surgery, with a median follow-up time of 53 months.

Table I.

Patients characteristics.

Table I.

Patients characteristics.

ParameterValue
No.105
Age (years)64.7±16.3
Gender; male/female83/22
Hepatitis B/Hepatitis C/negative for both virus19/73/13
Mean tumor diameter (mm)46.4
Gross structure; simple nodular/other67/38
Histological differentiation; well/moderately/poorly20/74/8
Infiltration to blood vessel; yes/no36/69
Intrahepatic metastasis; yes/no27/78
Hypertension; yes/no41/64
Diabetes Mellitus; yes/no34/71
Hyperlipidemia; yes/no12/93

[i] Data are presented as median ± standard deviation.

Informed consent

The present study was approved by the Ethics Committees of the Graduate School of Medical and Dental Sciences, Kagoshima University (Kagoshima, Japan; registration number 25–39) and was conducted according to the Declaration of Helsinki. Written informed consent was obtained from each patient, including consent to publish and to report individual data from the participant.

Immunohistochemistry

Tissues were immersed into 10% neutral buffered formalin for 24 h at room temperature immediately after resection and then embedded with paraffin. Consecutive 4-µm sections were cut from each paraffin-embedded block. Sections were immunostained with anti-CD68 (cat. no. M0876; Dako; Agilent Technologies, Inc., Santa Clara, CA, USA), anti-CD163 (cat. no. Mob460; Diagnostic BioSystems, Inc., Pleasanton, CA, USA) and FRβ antibody, which was kindly provided by Professor Matsuyama, Department of Immunology, Graduate School of Medical and Dental Sciences, Kagoshima University (23). Briefly, following blocking with 0.3% H2O2/methanol for 30 min at room temperature, specimens were blocked with PBS containing 5% normal horse serum (Vector Laboratories Inc., Burlingame, CA, USA) for 30 min at room temperature. Anti-CD68, anti-CD163 and FRβ antibodies were used at a dilution of 1:100. Following overnight incubation at 4°C with the primary antibodies, specimens were briefly washed in PBS and incubated at room temperature for 30 min with polymer detection system used at 1:1 dilution (cat. no. 424132; Histofine simple stain MAX PO; Nichirei Biosciences, Tokyo, Japan). The specimens were washed with PBS and developed for 2 min at room temperature using diaminobenzidine solution (Dako; Agilent Technologies, Inc.). Specimens were subsequently washed with water and counterstained with Meyer's hematoxylin for 30 sec at room temperature (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany).

Evaluation of CD68, CD163 and FRβ immunostaining

To evaluate the results of immunohistochemical staining, the immunostained sections were scanned using a BX50-32 light microscope and DP71-SET-A digital camera (both Olympus Corporation, Tokyo, Japan) at a magnification of ×40. The sections were analyzed with cellSens Standard software (v1.11; Olympus Corporation). The six fields of intra-tumor and peri-tumor lesions with the greatest staining intensity in each specimen were selected, the number positive cells in each field was counted manually using high power (×200 magnification) light microscopy and the mean number of positive cells for each specimen was calculated. The peri-tumoral lesion was defined as the area within 2 mm from the external edge of the tumor. The intra-tumoral lesion was defined as the remaining area of the tumor. Two investigators assessed the slides without knowing the clinicopathological features and were blinded to each other's evaluation. They agreed on all slides examined. The mean values for the positive cells in the two locations were evaluated.

Clinicopathological factors

Clinicopathological factors selected for evaluation included preoperative laboratory values [including indocyanine green retention rate at 15 min (ICGR15) and tumor markers α-fetoprotein (AFP) and des-gamma-carboxy prothrombin (DCP)]. Histopathological diagnosis was based on evaluation of tumor size, the number of tumor nodules, lymph node metastasis and infiltration of blood vessels (portal vein and hepatic artery and/or vein). The tumor stage and pathological parameters were determined according to the General Rules for the Clinical and Pathological Study of Primary Liver Cancer (24). The overall survival (OS) was calculated from the date of resection to the date of mortality regardless of the cause. Recurrence-free survival (RFS) was calculated from the date of resection to the date that the tumor recurrence was diagnosed or from the date of resection to the last visit if recurrence was not diagnosed.

Statistical analysis

An unpaired t-test was used to evaluate continuous variables. Analysis of variance (ANOVA) was used to determine whether there was a significant difference between groups of tumor stage and histological differentiation. When ANOVA showed a significant result, the Tukey honest significance difference test was used to define between which groups there was a significant difference. The cumulative OS and RFS rates were calculated using the Kaplan-Meier method and tested using the Generalized Wilcoxon test. Data are presented as the mean ± standard deviation. Correlations were analyzed using Pearson's correlation coefficient. Statistical analyses were performed using the SPSS statistical software package (version 24; IBM Corp., Armonk, NY, USA). P<0.05 was considered to indicate a statistically significant difference.

Results

CD68, CD163 and FRβ expression in lesions

Positive staining for CD68, CD163 and FRβ was assessed in intra-tumor and peri-tumor lesions, and was mainly observed in the cytoplasm of stroma cells. The majority of tumor cells and hepatic cells were negatively stained (Fig. 1).

Comparison of CD68 and CD163 expression with clinicopathological features

To elucidate the biological significance of CD68 and CD163 expression in HCC, the number of CD68 and CD163 positive cells was compared with the clinicopathological features of 105 patients. The number of CD68 positive cells was significantly correlated with that of CD163 positive cells (R=0.823; P<0.001; Fig. 2). The number of CD68 positive cells was significantly higher in patients with stage IV cancer compared with stage III cancer (P=0.035; Table II) and lower in patients with simple nodular type tumors, which had good prognosis, compared with patients who were not diagnosed with simple nodular type tumors (P=0.021; Table II). CD163 positive cells were significantly more abundant in patients with median tumor size ≥3.5 cm (P=0.049; Table III) and in patients with poorly differentiated HCC (P=0.038; Table III). The CD163/68 ratio was also compared with clinicopathological features. The ratio was significantly lower in patients with stage IV cancer (P=0.048 vs. stage I; P=0.017 vs. stage III; Table IV), DCP abnormalities (P=0.047; Table IV), infiltration to blood vessels (P=0.016; Table IV) and intrahepatic metastasis (P=0.050; Table IV). A lower ratio appeared to be associated with the clinical malignancy.

Table II.

The comparison for the number of CD68 positive cells with the clinic-pathological features.

Table II.

The comparison for the number of CD68 positive cells with the clinic-pathological features.

VariablesCD68P-value
Male (83)/female (22)32.207±18.46632.184±16.5430.996
Tumor size ≥3.5 cm
  Yes (54)/No (51)35.288±18.00328.935±17.5900.070
Tumor numbers ≥2
  Yes (40)/No (65)34.959±18.65430.506±17.5210.220
Tumor stage
  I (17)27.588±16.8970.853a
  II (34)31.762±17.3350.035b
  III (35)29.113±16.3970.991c
  IV (19)42.811±20.0560.051d
0.922e
0.128f
ICGR15 ≥10%
  Yes (63)/No (35)30.910±18.35632.150±16.1620.739
AFP ≥10 ng/ml
  Yes (60)/No (31)31.552±17.69333.308±17.2100.652
DCP ≥40 mAU/ml
  Yes (58)/No (19)33.324±18.23425.824±15.7450.112
Pathological parameter
  Gross structure; simple nodular type
  Yes (67)/No (38)29.168±15.99237.553±20.2180.021
Histological differentiation
  Well (13)21.623±12.1170.096g
  Moderately (79)32.802±17.9980.073h
  Poorly (10)32.802±17.9980.635i
Infiltraion to blood vessel
  Yes (36)/No (69)34.082±18.12631.222±17.9930.442
Intrahepatic metastasis
  Yes (27)/No (78)35.617±16.51931.021±18.4420.255

{ label (or @symbol) needed for fn[@id='tfn2-etm-0-0-5959'] } Data are presented as number, percent and median ± standard deviation, tested using the unpaired t-test. For the analysis of tumor stage and histological differentiation, analysis of variance was used followed by a Tukey honest significance difference test.

a I vs. II

b III vs. IV

c I vs. III

d I vs. IV

e II vs. III

f II vs. IV

g well vs. moderately

h well vs. poorly

i moderately vs. poorly.

Table III.

The comparison for the number of CD163 positive cells with the clinic-pathological features.

Table III.

The comparison for the number of CD163 positive cells with the clinic-pathological features.

Variables CD163 P-value
Male (83)/female (22)39.848±19.999 40.311±15.6440.996
Tumor size ≥3.5 cm
  Yes (54)/No (51)43.507±20.927 36.173±16.3210.049
Tumor numbers ≥2
  Yes (40)/No (65)40.706±16.880 39.476±20.4600.750
Tumor stage
  I (17)/II (34)35.977±14.359 40.407±23.2410.865a
0.709b
0.958c
  III (35)/IV (19)38.844±18.076 44.695±16.6040.527d
0.987e
0.863f
ICGR15 ≥10%
  Yes (63)/No (35)38.010±17.947 40.239±15.7520.540
AFP ≥10 ng/ml
  Yes (60)/No (31)37.773±16.114 41.515±16.7940.304
DCP ≥40 mAU/ml
  Yes (58)/No (19)39.627±16.721 33.766±13.8590.172
Pathological parameter
  Gross structure; simple nodular type
  Yes (67)/No (38)38.353±20.044 42.751±17.2080.259
Histological differentiation
  Well (13) 29.715±9.846 0.164g
  Moderately (79) 40.083±19.151 0.038h
  Poorly (10) 49.455±24.717 0.305i
Infiltration to blood vessel
  Yes (36)/No (69)38.131±15.935 40.891±20.6060.485
Intrahepatic metastasis
  Yes (27)/No (78)40.917±15.603 39.608±20.2510.761

{ label (or @symbol) needed for fn[@id='tfn12-etm-0-0-5959'] } Data are presented as number, percent and median ± standard deviation, tested using the unpaired t-test. For the analysis of tumor stage and histological differentiation, analysis of variance was used followed by a Tukey honest significance difference test.

a I vs. II

b III vs. IV

c I vs. III

d I vs. IV

e II vs. III

f II vs. IV

g well vs. moderately

h well vs. poorly

i moderately vs. poorly.

Table IV.

The comparison for the CD163/CD68 ratio with the clinic-pathological features.

Table IV.

The comparison for the CD163/CD68 ratio with the clinic-pathological features.

Variables CD163/68 ratio P-value
Male (83)/female (22)1.363±0.426 1.390±0.4390.792
Tumor size ≥3.5cm
  Yes (54)/No (51)1.318±0.356 1.422±0.4900.213
Tumor numbers ≥2
  Yes (40)/No (65)1.321±0.487 1.400±0.3860.375
Tumor stage
  I (17)/II (34)1.494±0.476 1.317±0.3230.474a
0.017b
1.000c
0.048d
  III (35)/IV (19)1.485±0.502 1.133±0.2800.332e
0.404f
ICGR15 ≥10%
  Yes (63)/No (35)1.392±0.474 1.353±0.3680.680
AFP ≥10 ng/ml
  Yes (60)/No (31)1.349±0.466 1.364±0.3700.876
DCP ≥40 mAU/ml
  Yes (58)/No (19)1.310±0.380 1.546±0.5980.047
Pathological parameter
  Gross structure; simple nodular type
  Yes (67)/No (38)1.402±0.390 1.310±0.4840.289
Histological differentiation
  Well (13) 1.635±0.648 0.039g
  Moderately (79) 1.322±0.373 0.548h
  Poorly (10) 1.450±0.433 0.642i
Infiltration to blood vessel
  Yes (36)/No (69)1.230±0.346 1.441±0.4480.016
Intrahepatic metastasis
  Yes (27)/No (78)1.230±0.359 1.416±0.4400.050

{ label (or @symbol) needed for fn[@id='tfn22-etm-0-0-5959'] } Data are presented as number, percent and median ± standard deviation, tested using the unpaired t-test. For the analysis of tumor stage and histological differentiation, analysis of variance was used followed by a Tukey honest significance difference test.

a I vs. II

b III vs. IV

c I vs. III

d I vs. IV

e II vs. III

f II vs. IV

g well vs. moderately

h well vs. poorly

i moderately vs. poorly.

Correlation between FRβ expression, clinicopathological features, CD68 and CD163 expression

To clarify the role of the M2 macrophage in HCC, further examination was performed to evaluate the expression of FRβ as another M2 macrophage marker, as well as the number of FRβ positive cells compared with the clinicopathological features and CD68 and CD163 expression. No significant correlation was observed between FRβ positive cells and clinicopathological features (Table V); however the number of FRβ positive cells was significantly correlated with CD68 expression and with CD163 expression (R=0.694, P<0.001; R=0.471, P<0.001, respectively; data not shown).

Table V.

The comparison for the number of FRβ positive cells with the clinic-pathological features.

Table V.

The comparison for the number of FRβ positive cells with the clinic-pathological features.

Variables CD163/68 P-value
Male (83)/female (22)6.013±8.986 6.514±7.6550.812
Tumor size ≥3.5 cm
  Yes (54)/No (51)6.761±8.915 5.437±8.4830.438
Tumor numbers ≥2
  Yes (40)/No (65)7.343±9.967 5.365±7.7920.259
Tumor stage
  I (17)/II (34)4.853±6.780 5.150±6.6760.999a
0.184b
0.997c
0.228d
  III (35)/IV (19)5.380±9.094 10.342±11.5981.000e
0.156f
ICGR15 ≥10%
  Yes (63)/No (35)6.589±9.568 4.309±6.2520.208
AFP ≥10 ng/ml
  Yes(60)/No(31)6.889±9.784 4.932±7.0410.326
DCP ≥40 mAU/ml
  Yes (58)/No (19)6.383±9.373 6.411±9.5180.991
Pathological parameter
  Gross structure; simple nodular type
  Yes (67)/No (38)4.912±7.440 8.245±10.3120.059
Histological differentiation
  Well (13) 2.877±5.109 0.335g
  Moderately (79) 6.461±9.103 0.973h
  Poorly (10) 3.670±5.461 0.588i
Infiltration to blood vessel
  Yes (36)/No (69)7.358±10.723 5.471±7.4240.293
Intrahepatic metastasis
  Yes (27)/No (78)7.467±7.647 5.651±9.0240.352

{ label (or @symbol) needed for fn[@id='tfn32-etm-0-0-5959'] } Data are presented as number, percent and median ± standard deviation. The values were tested using the unpaired t-test. For the analysis of tumor stage and histological differentiation, analysis of variance was used followed by a Tukey honest significance difference test.

a I vs. II

b I vs. III

c I vs. IV

d II vs. III

e II vs. IV

f III vs. IV

g well vs. moderately differentiated

g moderately vs. poorly differentiated

i well vs. poorly differentiated.

Association between prognosis and CD68, CD163 and FRβ expression

Patients were divided into subgroups depending on the number of CD68 and CD163 cells observed and the CD163/68 ratio, as well as into FRβ positive or negative groups. The OS and RFS for the groups were then compared. No significant differences in OS and RFS were identified between groups (Figs. 36).

When a cut-off value of 1.0 was set for the CD163/68 ratio, OS (for the lower ratio group was significantly shorter compared with the higher ratio group median survival 84.2 vs. 72.3 months; P=0.046; Fig. 7). However, no significant differences in RFS were identified between the two groups (Fig. 7).

Discussion

Monocytes are recruited from the circulation at sites of injury, inflammation, infection and malignancy, where they differentiate into tissue macrophages (25). The expression of numerous myeloid lineage markers can change upon exposure to inflammatory mediators and secreted factors from invading cancer cells (26). There have been a number of studies involving macrophage surface markers and various classes of macrophages have been proposed (1618).

TAMs, which express CD68 and CD163 in HCC, were evaluated using immunohistochemistry. The significance of CD68 and CD163 positive cells in a cancer microenvironment is controversial. Previous studies have indicated that CD68 and CD163 are the most common TAM markers (14,15). CD68, as a pan-macrophage or M1 marker, and CD163 as an M2 marker, have frequently been used to evaluate and classify TAMs (14,27). The infiltration of CD68 and CD163 positive cells in tumors is correlated with poor patient prognosis in cancers, including hepatocellular, breast, bladder and ovarian cancer as well as hilar cholangiocarcinoma (8,2831). The results of the present study demonstrated that high expression of CD68 and CD163 was associated with worse outcome. However, Koelzer et al (26), reported that strong infiltration was correlated with favorable clinicopathological features in colon cancer. They observed that 40% of all CD68 positive macrophages were CD163 positive, and 60% were inducible nitric oxide synthase (M1 macrophage marker) positive with double immunohistochemistry. In fact, a marked correlation between CD163 and CD68 was observed in the present study. These results may demonstrate that TAMs are not simply cells with single markers or restricted M1 or M2 phenotypes and that they are more diverse and heterogeneous, with cells exhibiting considerable plasticity driven by environmental factors. Additionally, organ type may influence the prognostic impact of macrophages (26).

The correlation between the CD163/68 ratio and clinicopathological features was assessed. The ratio was significantly lower in patients with stage IV cancer, DCP abnormalities, infiltration to blood vessels and intrahepatic metastasis (Table IV). The OS of the group with a CD163/68 ratio <1 was significantly shorter than that for the higher ratio group (Fig. 7). A lower CD163/68 ratio appeared to be associated with worse prognosis in the present study. Komohara et al (32) examined the association between the CD163/68 ratio and the patient prognosis in glioma. They identified a significantly improved survival rate for patients with a lower CD163/68 ratio, and their results are in agreement with those of the present study. These results may also demonstrate that TAMs are diverse and heterogeneous and that the organ type influences the prognostic impact of macrophages.

The association between the number of FRβ positive cells, M2 macrophage markers, and the clinicopathological features was also evaluated. Nagai et al (33) and Nagayoshi et al (23), demonstrated that all FRβ-expressing cells were CD68 positive macrophages in glioblastoma, that the expression of FRβ was limited to activated macrophages, and that TAM depletion by FRβ monoclonal antibody reduced tumor growth into C6 glioma xenografts in nude mice. Puig-Kröger et al (18), also reported that FRβ was a marker for M2 macrophages. However, de Boer et al (34), reported that FRβ status did not correlate with OS, RFS or other clinicopathological factors in colon, ovarian, and breast cancer, and concluded that FRβ positivity in tissue macrophages near an infiltrative tumor reflected not only a tumor-specific phenomenon but also an inflammatory process. The results of the current study also demonstrated that the number of FRβ positive cells was not correlated to the clinicopathological features. This is because FRβ positivity may reflect an inflammatory process, and our study group may possess not only tumor-specific but also inflammatory macrophages.

In conclusion, the present study on HCC demonstrated that high expression of CD68 and CD163 appeared to be associated with worse outcome. Particularly, a low CD163/68 ratio strongly correlated with worse results, and a CD163/68 ratio <1 was associated with worse prognosis. However, the number of FRβ positive cells was not correlated with the clinicopathological features. As immunohistochemistry can only measure one or two markers per sample, it may not fully reflect the complex factors involved. This is a limitation of our and a number of immunohistochemistry studies. More advanced studies using different technologies are expected, and further studies are required to determine the cross-interaction between diverse TAMs and the tumor microenvironment.

Acknowledgements

The authors want to thank Professor Takami Matsuyama from the Department of Immunology, Kagoshima University School of Medicine (Kagoshima, Japan), for offering us the FRβ antibody.

Funding

No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

KM, KH, SU, MS, HO and SN contributed to the conception and design of this study. KM, KH, SU, MS, SI, YK, MH, HK, YM, KM and HS collected the patient's data and provided the figures. KM, KH, SU, MS, HO and SN were involved in drafting and revising the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The present study was approved by the ethics committees of the Graduate School of Medical and Dental Sciences, Kagoshima University, Japan (registration number 25–39) and was conducted according to the ethical guidelines of the Declaration of Helsinki. Written informed consent was obtained from each patient.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Glossary

Abbreviations

Abbreviations:

HCC

hepatocellular carcinoma

HCV

hepatitis C virus

TAMs

tumor-associated macrophages

FR

Folate receptor

PBS

phosphate-buffered saline

ICGR15

indocyanine green retention rate at 15

AFP

α-fetoprotein

DCP

des-gamma-carboxy prothrombin

OS

overall survival

RFS

recurrence-free survival

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May-2018
Volume 15 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Copy and paste a formatted citation
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Spandidos Publications style
Minami K, Hiwatashi K, Ueno S, Sakoda M, Iino S, Okumura H, Hashiguchi M, Kawasaki Y, Kurahara H, Mataki Y, Mataki Y, et al: Prognostic significance of CD68, CD163 and Folate receptor‑β positive macrophages in hepatocellular carcinoma. Exp Ther Med 15: 4465-4476, 2018
APA
Minami, K., Hiwatashi, K., Ueno, S., Sakoda, M., Iino, S., Okumura, H. ... Natsugoe, S. (2018). Prognostic significance of CD68, CD163 and Folate receptor‑β positive macrophages in hepatocellular carcinoma. Experimental and Therapeutic Medicine, 15, 4465-4476. https://doi.org/10.3892/etm.2018.5959
MLA
Minami, K., Hiwatashi, K., Ueno, S., Sakoda, M., Iino, S., Okumura, H., Hashiguchi, M., Kawasaki, Y., Kurahara, H., Mataki, Y., Maemura, K., Shinchi, H., Natsugoe, S."Prognostic significance of CD68, CD163 and Folate receptor‑β positive macrophages in hepatocellular carcinoma". Experimental and Therapeutic Medicine 15.5 (2018): 4465-4476.
Chicago
Minami, K., Hiwatashi, K., Ueno, S., Sakoda, M., Iino, S., Okumura, H., Hashiguchi, M., Kawasaki, Y., Kurahara, H., Mataki, Y., Maemura, K., Shinchi, H., Natsugoe, S."Prognostic significance of CD68, CD163 and Folate receptor‑β positive macrophages in hepatocellular carcinoma". Experimental and Therapeutic Medicine 15, no. 5 (2018): 4465-4476. https://doi.org/10.3892/etm.2018.5959