Literature DB >> 20487543

The number and microlocalization of tumor-associated immune cells are associated with patient's survival time in non-small cell lung cancer.

Fuqiang Dai1, Lunxu Liu, Guowei Che, Nanbin Yu, Qiang Pu, Shangfu Zhang, Junliang Ma, Lin Ma, Zongbing You.   

Abstract

BACKGROUND: Tumor microenvironment is composed of tumor cells, fibroblasts, endothelial cells, and infiltrating immune cells. Tumor-associated immune cells may inhibit or promote tumor growth and progression. This study was conducted to determine whether the number and microlocalization of macrophages, mature dendritic cells and cytotoxic T cells in non-small cell lung cancer are associated with patient's survival time.
METHODS: Ninety-nine patients with non-small cell lung cancer (NSCLC) were included in this retrospective study. Paraffin-embedded NSCLC specimens and their clinicopathological data including up to 8-year follow-up information were used. Immunohistochemical staining for CD68 (marker for macrophages), CD83 (marker for mature dendritic cells), and CD8 (marker for cytotoxic T cells) was performed and evaluated in a blinded fashion. The numbers of immune cells in tumor islets and stroma, tumor islets, or tumor stroma were counted under a microscope. Correlation of the cell numbers and patient's survival time was analyzed using the Statistical Package for the Social Sciences (version 13.0).
RESULTS: The numbers of macrophages, mature dendritic cells and cytotoxic T cells were significantly more in the tumor stroma than in the tumor islets. The number of macrophages in the tumor islets was positively associated with patient's survival time, whereas the number of macrophages in the tumor stroma was negatively associated with patient's survival time in both univariate and multivariate analyses. The number of mature dendritic cells in the tumor islets and stroma, tumor islets only, or tumor stroma only was positively associated with patient's survival time in a univariate analysis but not in a multivariate analysis. The number of cytotoxic T cells in the tumor islets and stroma was positively associated with patient's survival time in a univariate analysis but not in a multivariate analysis. The number of cytotoxic T cells in the tumor islets only or stroma only was not associated with patient's survival time.
CONCLUSIONS: The number of macrophages in the tumor islets or stroma is an independent predictor of survival time in NSCLC patients. Counting macrophages in the tumor islets or stroma is more useful in predicting patient's survival time than counting mature dendritic cells or cytotoxic T cells.

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Year:  2010        PMID: 20487543      PMCID: PMC2880994          DOI: 10.1186/1471-2407-10-220

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Tumor microenvironment is composed of tumor cells, resident cells such as fibroblasts and endothelial cells, and infiltrating cells such as macrophages, dendritic cells, and lymphocytes, as well as products of all these cells such as extracellular matrix, growth factors, cytokines, chemokines, enzymes, and various metabolites [1]. The cross-talk between tumor cells and other tumor-associated cells may lead to either blocking tumor formation or enhancing tumor formation and/or progression. The double-edged-sword nature of many tumor-associated immune cells such as macrophages, dendritic cells, and cytotoxic T cells has been recognized [2-4]. On the one hand, these immune cells may recognize tumor-associated antigen and activate cytotoxic T cells, in order to initiate anti-tumor immune responses. On the other hand, the same immune cells may establish immune tolerance and even promote tumor growth and metastasis through enhancing angiogenesis and invasion of extracellular matrix. Non-small cell lung cancer (NSCLC) is the most common cause of cancer-related death worldwide. The five-year survival rate is approximately 67% for the patients with stage IA NSCLC after putatively curative surgery [5]. In order to identify new prognostic factors that can guide clinical practice, we have previously found that the number of tumor-associated macrophages (TAMs) in the tumor islets is positively associated with survival time in the patients with NSCLC [6]. Because TAMs are not the only tumor-associated immune cells, in this study we further investigated the prognostic value of mature dendritic cells and cytotoxic T cells in the patients with NSCLC.

Methods

Study population

This study was approved by the Institutional Review Board of West China Hospital, Sichuan University. The procedures to obtain human lung cancer tissues and follow-up information are in accordance with the Ethical Principles for Medical Research Involving Human Subjects as formulated in the World Medical Association Declaration of Helsinki (revised in 2008). All specimens were obtained from the archives of formalin-fixed, paraffin-embedded tissue blocks in the Department of Thoracic and Cardiovascular Surgery, West China Hospital, Sichuan University. The lung cancer tissues were collected from surgeries performed from August, 1999 to August, 2001. The patients were followed up until December, 2007, through outpatient visits and/or correspondences to family members. Ninety-nine patients were included in this retrospective study. Histological evaluation was based on the World Health Organization criteria [7]. Tumor stage was evaluated according to the International Union against Cancer TNM classification system [7]. The clinicopathological characteristics were summarized in Table 1.
Table 1

Clinicopathological characteristics of patients with non-small cell lung cancer (n = 99)

VariableN = 995-yr survival (%)
Age years median (range)60 ( 37 - 80)Overall
Gender (male: female)80:1932
Tumor stage:
 I3549
 II2035
 III3419
 IV1010
Histology
 Adenocarcinoma4522
 Squamous cell carcinoma5141
 Large cell carcinoma333
Tumor grade
 Well differentiation367
 Moderate differentiation4840
 Poor differentiation2924
 Not recorded1920
Lymph node metastasis
 No5944
 Yes4015

Histological criteria for the tumor grading:

Adenocarcinomas:

Well differentiation: glandular lumens are large and similar in sizes, with less cytologic atypia.

Moderate differentiation: glandular lumens vary in sizes, with obvious cytologic atypia.

Poor differentiation: glandular lumens are small or absent, with obvious cytologic atypia and mitosis.

Squamous cell carcinomas:

Well differentiation: ≥ 20% of the tumor islets has pearl formation.

Moderate differentiation: < 20% of the tumor islets has pearl formation.

Poor differentiation: no pearl formation in the tumor islets; only shows intracellular keratinization.

Large cell carcinomas: by definition, are poorly differentiated tumors that lack the cytologic and architectural features of small cell carcinoma, squamous cell carcinoma, or adenocarcinoma.

Clinicopathological characteristics of patients with non-small cell lung cancer (n = 99) Histological criteria for the tumor grading: Adenocarcinomas: Well differentiation: glandular lumens are large and similar in sizes, with less cytologic atypia. Moderate differentiation: glandular lumens vary in sizes, with obvious cytologic atypia. Poor differentiation: glandular lumens are small or absent, with obvious cytologic atypia and mitosis. Squamous cell carcinomas: Well differentiation: ≥ 20% of the tumor islets has pearl formation. Moderate differentiation: < 20% of the tumor islets has pearl formation. Poor differentiation: no pearl formation in the tumor islets; only shows intracellular keratinization. Large cell carcinomas: by definition, are poorly differentiated tumors that lack the cytologic and architectural features of small cell carcinoma, squamous cell carcinoma, or adenocarcinoma.

Immunohistochemistry

Four-μm thick tissue sections were de-waxed in xylene and rehydrated through graded alcohols. Antigen retrieval was carried out using microwave at middle-to-high temperature for 8 min, low-to-high temperature for 5 min, and then cooled down at room temperature for 20 min. Mouse anti-human CD68 monoclonal antibodies (clone KP1, recognizing macrophages), rabbit anti-human CD8 monoclonal antibodies (clone SP16, recognizing cytotoxic T cells), and streptavidin-peroxidase conjugated secondary antibodies (SP-9002) were obtained from Zhongshan Goldenbridge Biotechnology Co., LTD., Beijing, China. Mouse anti-human CD83 monoclonal antibodies (clone HB15a, recognizing mature dendritic cells) were obtained from Santa Cruz Biotechnology, Inc., Santa Cruz, CA, USA. Diaminobenzidine (DAB) substrate kit was obtained from Dako North America, Inc., Carpinteria, CA, USA. Immunohistochemical staining of individual markers was performed according to the kit manufacturer's instructions. Sections were then counterstained with hematoxylin and mounted in an aqueous mounting medium. Tissue sections previously stained positively were used as positive control, while tissue sections with primary antibodies replaced by phosphate-buffered saline served as negative control. Positive cells showed brown particles on the cellular membrane and/or in the cytoplasm. Under a microscope, five representative high-power fields (× 400 magnification) of the tumor islets and stroma per tissue section were selected and counted for positive cell numbers. The average number of these five high-power fields represented the cell number per high-power field. Evaluation of the stained tissue sections was performed by two investigators who were blinded in regard to the clinicopathological characteristics. An average of the results obtained by the two examiners was used to represent each case.

Statistical analysis

Statistical analysis was carried out using the Statistical Package for the Social Sciences (SPSS, version 13.0, SPSS Inc., Chicago, IL, USA). For categorical analysis, the median number of cells per high-power field was used as a cut-off point to dichotomize the continuous variables. The Mann-Whitney nonparametric test was used to compare between two groups. In order to assess any potential relationship between the number of immune cells and patient's survival time, the Spearman's rank correlation coefficient (Spearman's rho, or rs) was calculated in a univariate analysis. The correlation between the number of immune cells and the clinicopathological characteristics was analyzed using the χ2 test. The Kaplan-Meier survival curves were used to look for correlation between the cell number and patient's survival time, or between the ratio of cells in the tumor islets versus stroma and patient's survival time. Statistical significance was analyzed using the log-rank test. A multivariate Cox proportional hazards model was used to estimate adjusted hazard ratios and 95% confidence intervals (CI) and to identify which variable was an independent prognostic factor. The validity of the proportional hazards assumption was assessed from log (-log [Survival]) curves. For the above comparisons, P < 0.05 was considered statistically significant.

Results

Patient characteristics

All of the 99 patients (Table 1) had complete follow-up information and the pathological diagnosis was verified by a pathologist prior to inclusion in this study. The overall cumulative 5-year survival rate was 32%. Patients with stage I carcinomas, squamous cell carcinomas, well-differentiated carcinomas, or carcinomas without lymph node metastasis had better survival rates than the other patients (Table 1).

Immunohistochemical detection of the tumor-associated immune cells

Macrophages, mature dendritic cells, and cytotoxic T cells were detected by anti-CD68 antibodies, anti-CD83 antibodies, and anti-CD8 antibodies, respectively (Figure 1). These tumor-associated immune cells were located in both the tumor islets and stroma. Under each high-power field (× 400 magnification), the median number of macrophages in the tumor islets and stroma is approximately 15 (Table 2). The median number of macrophages in the tumor islets only is approximately 4. The median number of macrophages in the tumor stroma only is approximately 7, which was significantly more than that in the tumor islets (P = 0.040). The median numbers of mature dendritic cells in the tumor islets and stroma, tumor islets only, or tumor stroma only were approximately 13, 4, or 7, respectively (Table 2). The number of mature dendritic cells in the tumor stroma was significantly more than that in the tumor islets (P = 0.000). The median numbers of CD8+ cytotoxic T cells in the tumor islets and stroma, tumor islets only, or tumor stroma only were approximately 11, 4, or 7, respectively (Table 2). The number of CD8+ cytotoxic T cells in the tumor stroma was significantly more than that in the tumor islets (P = 0.032).
Figure 1

Immunohistochemical detection of tumor-associated immune cells in non-small cell lung cancer tissues. (a) Macrophages (marker CD68) stained brown in the tumor islets (arrow) and tumor stroma (arrowhead). (b) Mature dendritic cells (marker CD83) stained brown in the tumor islets (arrow) and tumor stroma (arrowhead). (c) Cytotoxic T cells (marker CD8) stained brown in the tumor islets (arrow) and tumor stroma (arrowhead). Original magnification, × 400.

Table 2

Correlation between the number and microlocalization of immune cells and patient's survival time by a univariate analysis

Cell typeIslets + StromaIsletsStromaP (islets versus stroma)

NumberSpearman's rho & PNumberSpearman's rho & PNumberSpearman's rho & P
Macrophages15.2(1.8 - 48.4)rs = -0.105P = 0.3004.2(0.2 - 40.6)rs = 0.483P = 0.0007.2(0.4 - 39.6)rs = -0.541P = 0.0000.040
Mature dendritic cells13.2(1.4 - 137.6)rs = 0.221P = 0.0284.2(0 - 21.4)rs = 0.404P = 0.0017.0(0.2 - 25.4)rs = 0.284P = 0.0450.000
CD8+ T cells10.8(0.4 - 45.0)rs = 0.297P = 0.0034.2(0 - 66.2)rs = 0.247P = 0.0147.2(0.2 - 71.4)rs = 0.212P = 0.0350.032

The number of immune cells represents median (range) per high-power field. The number of immune cells in the tumor islets and stroma (Islets + Stroma) was obtained by combining the number in the tumor islets and the number in the tumor stroma in each case. Then, the numbers of immune cells in the tumor islets and stroma were ranked and the median number was determined. Therefore, the median number of immune cells in the tumor islets and stroma is not a simple sum of the median number in the tumor islets and the median number in the tumor stroma as shown in this table.

Correlation between the number and microlocalization of immune cells and patient's survival time by a univariate analysis The number of immune cells represents median (range) per high-power field. The number of immune cells in the tumor islets and stroma (Islets + Stroma) was obtained by combining the number in the tumor islets and the number in the tumor stroma in each case. Then, the numbers of immune cells in the tumor islets and stroma were ranked and the median number was determined. Therefore, the median number of immune cells in the tumor islets and stroma is not a simple sum of the median number in the tumor islets and the median number in the tumor stroma as shown in this table. Immunohistochemical detection of tumor-associated immune cells in non-small cell lung cancer tissues. (a) Macrophages (marker CD68) stained brown in the tumor islets (arrow) and tumor stroma (arrowhead). (b) Mature dendritic cells (marker CD83) stained brown in the tumor islets (arrow) and tumor stroma (arrowhead). (c) Cytotoxic T cells (marker CD8) stained brown in the tumor islets (arrow) and tumor stroma (arrowhead). Original magnification, × 400.

Correlation between the number and microlocalization of immune cells and survival time

The Spearman's rank correlation coefficient (Spearman's rho, or rs) was calculated to assess any potential relationship between the tumor-associated immune cells and patient's survival time. We found that the macrophage number in the tumor islets and stroma had no association with patient's survival time (rs = -0.105, P = 0.300). The macrophage number in the tumor islets was positively associated with patient's survival (rs = 0.483, P = 0.000). In contrast, the macrophage number in the tumor stroma was negatively associated with patient's survival (rs = -0.541, P = 0.000) (Table 2). The numbers of mature dendritic cells in the tumor islets and stroma, tumor islets, and tumor stroma were all positively associated with patient's survival time, with rs = 0.221 (P = 0.028), 0.404 (P = 0.001), and 0.284 (P = 0.045), respectively. Similarly, the numbers of CD8+ cytotoxic T cells in the tumor islets and stroma, tumor islets, and tumor stroma were also positively associated with patient's survival time, with rs = 0.297 (P = 0.003), 0.247 (P = 0.014), and 0.212 (P = 0.035), respectively (Table 2). In order to assess whether there is any value in predicting prognosis, the median number of the tumor-associated immune cells was used as a cut-off point to dichotomize the 99 patients into a group with a cell number above the median and a group with a cell number below the median. We found that the patients with above-the-median macrophage number in the tumor islets and stroma had a similar Kaplan-Meier survival curve, compared to those patients with below-the-median macrophage number in the tumor islets and stroma (P = 0.322, Figure 2a). The patients with above-the-median macrophage number in the tumor islets had a significantly better cumulative survival, compared to the patients with below-the-median macrophage number in the tumor islets (P = 0.001, Figure 2b). In contrast, the patients with above-the-median macrophage number in the tumor stroma had a significantly worse cumulative survival, compared to the patients with below-the-median macrophage number in the tumor stroma (P = 0.000, Figure 2c). When the ratio of the macrophage number in the tumor islets versus the macrophage number in the tumor stroma was calculated, the patients with above-the-median ratio (islets/stroma) had a significantly better cumulative survival, compared to the patients with below-the-median ratio (P = 0.000, Figure 2d).
Figure 2

Kaplan-Meier survival curves demonstrate macrophage number or ratio in correlation to survival. [M] represents the macrophage number in the tumor islets and stroma (a), tumor islets (b), and tumor stroma (c). (d) The ratio of the macrophage number in the tumor islets "[M islets]" versus the macrophage number in the tumor stroma "[M stroma]".

Kaplan-Meier survival curves demonstrate macrophage number or ratio in correlation to survival. [M] represents the macrophage number in the tumor islets and stroma (a), tumor islets (b), and tumor stroma (c). (d) The ratio of the macrophage number in the tumor islets "[M islets]" versus the macrophage number in the tumor stroma "[M stroma]". The patients with above-the-median numbers of mature dendritic cells in the tumor islets and stroma, tumor islets, and tumor stroma had a significantly better cumulative survival, compared to the patients with below-the-median numbers of mature dendritic cells (P = 0.000, 0.005, and 0.019, respectively, Figure 3a-c). The patients with above-the-median ratio (islets/stroma) had a similar cumulative survival, compared to the patients with below-the-median ratio (P = 0.099, Figure 3d).
Figure 3

Kaplan-Meier survival curves demonstrate mature dendritic cell number or ratio in correlation to survival. [D] represents the mature dendritic cell number in the tumor islets and stroma (a), tumor islets (b), and tumor stroma (c). (d) The ratio of the mature dendritic cell number in the tumor islets "[D islets]" versus the mature dendritic cell number in the tumor stroma "[D stroma]".

Kaplan-Meier survival curves demonstrate mature dendritic cell number or ratio in correlation to survival. [D] represents the mature dendritic cell number in the tumor islets and stroma (a), tumor islets (b), and tumor stroma (c). (d) The ratio of the mature dendritic cell number in the tumor islets "[D islets]" versus the mature dendritic cell number in the tumor stroma "[D stroma]". The patients with above-the-median number of cytotoxic T cells in the tumor islets and stroma had a significantly better cumulative survival, compared to the patients with below-the-median number of cytotoxic T cells (P = 0.007, Figure 4a). There were no significant differences between the above-the-median and below-the-median groups, in regard to the number of cytotoxic T cells in the tumor islets or tumor stroma, or the ratio of the cell number in the tumor islets versus the cell number in stroma (P = 0.094, 0.287, and 0.295, respectively, Figure 4b-d).
Figure 4

Kaplan-Meier survival curves demonstrate cytotoxic T cell number or ratio in correlation to survival. [T] represents the cytotoxic T cell number in the tumor islets and stroma (a), tumor islets (b), and tumor stroma (c). (d) The ratio of the cytotoxic T cell number in the tumor islets "[T islets]" versus the cytotoxic T cell number in the tumor stroma "[T stroma]".

Kaplan-Meier survival curves demonstrate cytotoxic T cell number or ratio in correlation to survival. [T] represents the cytotoxic T cell number in the tumor islets and stroma (a), tumor islets (b), and tumor stroma (c). (d) The ratio of the cytotoxic T cell number in the tumor islets "[T islets]" versus the cytotoxic T cell number in the tumor stroma "[T stroma]". In order to determine whether the number of tumor-associated immune cells is correlated to the clinicopathological characteristics, the number of cases with < median cell number was compared with the number of cases with ≥ median cell number. We found that the number of macrophages was not correlated with the tumor stage, tumor grade, or lymph node metastasis, except that the adenocarcinomas had more macrophages in the tumor islets and stroma, compared to the non-adenocarcinomas (i.e., squamous and large cell carcinomas) (P = 0.012) (Table 3). However, there were no significant differences when the numbers of macrophages in the tumor islets only or tumor stroma only were compared. The number of mature dendritic cells was less in the tumors of advanced stages (III-IV) or with lymph node metastasis, compared to those of early stages (I-II) or without lymph node metastasis (Table 4). In addition, there were more mature dendritic cells in the tumor islets and stroma of the non-adenocarcinomas, compared to the adenocarcinomas (Table 4). In contrast, the number of cytotoxic T cells was not correlated with the tumor stage, histology, or lymph node metastasis, except that the tumors of poor differentiation had slightly more cytotoxic T cells in the tumor islets (Table 5).
Table 3

Correlation between the number of macrophages and clinicopathological characteristics of patients

VariableIslets + StromaIsletsStroma

< median≥ medianP< median≥ medianP< median≥ medianP
Tumor stage:
 I-II27280.92924310.22831240.158
 III-IV222225191826
Histology
 Adenocarcinoma16290.01219260.22819260.228
 Non-adenocarcinoma332130243024
Tumor grade
 Well to moderate differentiation26240.64626240.24826240.495
 Poor differentiation141611191317
Lymph node metastasis
 No28310.62425340.10333260.153
 Yes211924161624
Table 4

Correlation between the number of mature dendritic cells and clinicopathological characteristics of patients

VariableIslets + StromaIsletsStroma

< median≥ medianP< median≥ medianP< median≥ medianP
Tumor stage:
 I-II21340.01223320.10722330.044
 III-IV281626182717
Histology
 Adenocarcinoma30150.00227180.07027180.070
 Non-adenocarcinoma193522322232
Tumor grade
 Well to moderate differentiation21290.86123270.64726240.066
 Poor differentiation12181218921
Lymph node metastasis
 No23360.01424350.04125340.103
 Yes261425152416
Table 5

Correlation between the number of cytotoxic T cells and clinicopathological characteristics of patients

VariableIslets + StromaIsletsStroma

< median≥ medianP< median≥ medianP< median≥ medianP
Tumor stage:
 I-II23320.10724310.22827280.840
 III-IV261825192321
Histology
 Adenocarcinoma24210.54723220.84124210.688
 Non-adenocarcinoma252926282628
Tumor grade
 Well to moderate differentiation26240.24829210.04028220.248
 Poor differentiation111910201218
Lymph node metastasis
 No25340.10327320.41629300.838
 Yes241622182119
Correlation between the number of macrophages and clinicopathological characteristics of patients Correlation between the number of mature dendritic cells and clinicopathological characteristics of patients Correlation between the number of cytotoxic T cells and clinicopathological characteristics of patients In order to determine whether the number of tumor-associated immune cells is independently associated with patient's survival time, the multivariate Cox proportional hazards analysis was used. The tumor stage, histology, grade and lymph node metastasis were included in the multivariate analysis along with the cell numbers. We found that only the macrophage numbers in the tumor islets or tumor stroma were independent predictors of patient's survival time (P = 0.028 or 0.002, respectively). The numbers of mature dendritic cells or cytotoxic T cells were not independent prognostic factors (Table 6).
Table 6

Correlation between the number and microlocalization of immune cells and patient's survival time by a multivariate Cox proportional hazards model analysis

FactorHazard ratio95% Confidence intervalP
Tumor stage6.7901.319 - 34.9520.022
Histology0.9730.934 - 1.0030.116
Tumor grade0.2080.076 - 2.6690.228
Lymph node metastasis0.6610.260 - 1.6790.384
Macrophages in islets0.9090.834 - 0.9900.028
Macrophages in stroma1.0801.029 - 1.1330.002
Ratio of islets/stroma of macrophages0.9700.847 - 1.1110.663
Mature dendritic cells in islets and stroma1.0610.938 - 1.2000.350
Mature dendritic cells in islets0.9220.841 - 1.0120.087
Mature dendritic cells in stroma1.0020.933 - 1.0750.963
CD8+ T cells in islets and stroma1.0130.988 - 1.0390.311
CD8+ T cells in islets1.0290.992 - 1.0680.125
CD8+ T cells in stroma0.9780.934 - 1.0230.335
Correlation between the number and microlocalization of immune cells and patient's survival time by a multivariate Cox proportional hazards model analysis

Discussion

Macrophage is a major component of inflammatory infiltrate of tumors [8,9]. Studies on the tumor-associated macrophages (TAMs) in non-small cell lung cancer have reported controversial results. For example, Chen et al reported that the TAMs are negatively associated with survival in the NSCLC patients [10]. Toomey et al found that there is no association between the macrophage number and prognosis of NSCLC [11]. On the other hand, Welsh et al found that the macrophage density in the tumor islets is positively associated with patient's survival [12]. Our previous study showed that the macrophage number in the tumor islets is positively associated with survival, whereas the macrophage number in the tumor stroma is negatively associated with survival [6]. In this study, we again confirmed our previous findings. In addition, we found that the total number of macrophages in both the tumor islets and stroma does not predict prognosis. This may be due to the fact that the macrophage number in the tumor islets is positively associated with survival, whereas the macrophage number in the tumor stroma is negatively associated with survival. Therefore, the positive and negative associations antagonize each other and reduce the net predictive value when the two macrophage pools are counted together. On the other hand, the ratio of macrophage number in the tumor islets versus the macrophage number in the tumor stroma appears to better predict the cumulative survival in the Kaplan-Meier survival curves and univariate analysis (Figure 2d). However, this ratio is not an independent predictor of patient's survival in the multivariate analysis (Table 6). We speculate that this is because some clinicopathological characteristics may affect the distribution of the ratio and thus its statistic significance in the multivariate analysis. For example, the overall macrophage number per high-power field was increased in the adenocarcinomas, which may have an effect on the predictive value of macrophage ratio in the tumor islets/stroma. The puzzle of why the macrophages in the tumor islets are good for prognosis but the macrophages in the tumor stroma are bad for prognosis may be solved by investigating microlocalization of the M1 and M2 forms of TAMs. The M1 macrophages have anti-tumor functions, whereas the M2 macrophages contain pro-tumor functions [13,14]. A recent study demonstrated that 70% of macrophages in the tumor islets are the M1 macrophages in the NSCLC patients with extended survival [15]. We recently found that about 85% of the macrophages in the tumor stroma are the M2 macrophages in the NSCLC patients with an average of 1-year survival (Ma, et al., unpublished observation). The density of tumor-infiltrating mature dendritic cells has been found to be a better predictor of clinical outcome than other parameters in a recent study [16]. Our results are consistent with this report. The predictive value of the numbers of mature dendritic cells is only significant in the univariate analysis but not in the multivariate analysis. This implies that we need to be cautious in using the number of mature dendritic cells to predict the patient's outcome. The number of CD8+ T cells in the tumor islets is found to be positively associated with survival time in patients with the stage IV NSCLC [17]. Our study shows the same trend but fails to reach any statistical significance (Figure 4b, P = 0.094). We reason that this is because our patient population (N = 99) is smaller than that study's patient population (N = 199) [17]. Both studies showed that the number of cytotoxic T cells in the tumor stroma is not associated with patient's survival time. In our study, we found that the total number of cytotoxic T cells in both the tumor islets and stroma is positively associated with patient's survival time in the univariate analysis but not in the multivariate analysis. This suggests that the clinical significance of counting the number of cytotoxic T cells is limited, compared to counting the number of macrophages in the tumor islets or stroma. The observed differences among the three immune cells may be caused by the differences in their biological functions. Macrophages not only can serve as antigen-presenting cells (like mature dendritic cells), but also can serve as cytotoxic cells (like cytotoxic T cells) through releasing reactive oxygen/nitrogen intermediates and TNFα to kill the nearby tumor cells [18]. In the present study, the 5-year survival rate is 44% for the patients without lymph node metastasis and 15% for the patients with lymph node metastasis (Table 1), the difference of which is very significant (P = 0.002, χ2 analysis). However, it is surprising that the status of lymph node metastasis is not associated with patient's survival in a multivariate Cox proportional hazards model analysis (Table 6). Other studies have shown that lymph node metastasis is an independent prognostic factor in multivariate analysis in patients with NSCLC [19,20]. We speculate that the main reason for this discrepancy is that the sample size in our series is not big enough to reach statistical significance in the multivariate analysis. This speculation may also be applied to the association of the density of mature dentritic cells or cytotoxic T cells with the survival in the multivariate analysis, because it is possible that these immune parameters would reach statistical significance in a bigger cohort of patients. The limitation of this study is that each immune cell type is identified by a single marker. CD68, CD83 and CD8 are widely used to identify macrophages, mature dendritic cells and cytotoxic T cells, respectively [15,17,21-25]. However, these markers are also expressed by other cell types. For example, CD68 has been found in immature CD1a-positive dendritic cells [26,27]. CD83 is also expressed by other cell types such as B lymphocytes [28]. A better marker for mature dendritic cells is DC-Lamp (CD208, using rat IgG2a antibodies, clone SR1010.E1, from Schering-Plough, Kenilworth, NJ) for paraffin-embedded tissue sections [16]. Although most tumor-infiltrating CD8+ T cells are cytotoxic T cells [25], some CD8+ T cells are regulatory T cells [29]. Therefore, it is possible that a portion of the immune cells identified by these markers are not the named immune cells (i.e., macrophages, mature dendritic cells, and cytotoxic T cells, respectively).

Conclusions

This study demonstrates that macrophages, mature dendritic cells, and cytotoxic T cells are present more in the tumor stroma than in the tumor islets in non-small cell lung cancer. Although the number and microlocalization of the three tumor-associated immune cells appear similar, the clinical significance of counting these cells is quite different. The tumor-associated macrophages may be the most important immune cells in NSCLC, because the number of TAMs in the tumor islets or stroma can independently predict patient's survival time.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

FD performed immunohistochemistry, evaluated the stained slides, and performed statistical analysis. LL and GC designed and supervised the collection of data. NY collected the clinicopathological data. QP, SZ, JM, and LM participated in making the slides, evaluation of the stained slides, and data analysis. ZY analyzed and interpreted the data and prepared the tables, figures, and manuscript text. All authors participated in manuscript preparation and approved the final version prior to submission.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2407/10/220/prepub
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Journal:  Eur Respir J       Date:  2006-08-09       Impact factor: 16.671

6.  Macrophage and mast-cell invasion of tumor cell islets confers a marked survival advantage in non-small-cell lung cancer.

Authors:  Tomas J Welsh; Ruth H Green; Donna Richardson; David A Waller; Kenneth J O'Byrne; Peter Bradding
Journal:  J Clin Oncol       Date:  2005-10-11       Impact factor: 44.544

7.  Significance of the number of positive lymph nodes in resected non-small cell lung cancer.

Authors:  Takayuki Fukui; Shoichi Mori; Kohei Yokoi; Tetsuya Mitsudomi
Journal:  J Thorac Oncol       Date:  2006-02       Impact factor: 15.609

8.  Predominant infiltration of macrophages and CD8(+) T Cells in cancer nests is a significant predictor of survival in stage IV nonsmall cell lung cancer.

Authors:  Osamu Kawai; Genichiro Ishii; Kaoru Kubota; Yukinori Murata; Yoichi Naito; Tetsuya Mizuno; Keiju Aokage; Nagahiro Saijo; Yutaka Nishiwaki; Akihiko Gemma; Syoji Kudoh; Atsushi Ochiai
Journal:  Cancer       Date:  2008-09-15       Impact factor: 6.860

9.  Macrophages within NSCLC tumour islets are predominantly of a cytotoxic M1 phenotype associated with extended survival.

Authors:  C M Ohri; A Shikotra; R H Green; D A Waller; P Bradding
Journal:  Eur Respir J       Date:  2009-01       Impact factor: 16.671

10.  High tumour islet macrophage infiltration correlates with improved patient survival but not with EGFR mutations, gene copy number or protein expression in resected non-small cell lung cancer.

Authors:  D-W Kim; H S Min; K-H Lee; Y J Kim; D-Y Oh; Y K Jeon; S-H Lee; S-A Im; D H Chung; Y T Kim; T-Y Kim; Y-J Bang; S W Sung; J H Kim; D S Heo
Journal:  Br J Cancer       Date:  2008-02-19       Impact factor: 7.640

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  60 in total

1.  Tumor-associated macrophages in stage IIIA pN2 non-small cell lung cancer after neoadjuvant chemotherapy and surgery.

Authors:  Po-Hao Feng; Chih-Teng Yu; Chin-Yang Wu; Meng-Jung Lee; Wei-Hwa Lee; Liang-Shun Wang; Shu-Min Lin; Jen-Fen Fu; Kang-Yun Lee; Tzung-Hai Yen
Journal:  Am J Transl Res       Date:  2014-10-11       Impact factor: 4.060

2.  Interleukin-17 and prostaglandin E2 are involved in formation of an M2 macrophage-dominant microenvironment in lung cancer.

Authors:  Lunxu Liu; Dongxia Ge; Lin Ma; Jiandong Mei; Sen Liu; Qiuyang Zhang; Fuqiang Ren; Hu Liao; Qiang Pu; Tao Wang; Zongbing You
Journal:  J Thorac Oncol       Date:  2012-07       Impact factor: 15.609

3.  Imaging and Characterization of Macrophage Distribution in Mouse Models of Human Prostate Cancer.

Authors:  Ben T Copeland; Hassan Shallal; Chentian Shen; Kenneth J Pienta; Catherine A Foss; Martin G Pomper
Journal:  Mol Imaging Biol       Date:  2019-12       Impact factor: 3.488

Review 4.  Is there a room for immune checkpoint inhibitors in early stage non-small cell lung cancer?

Authors:  Elisa Gobbini; Matteo Giaj Levra
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

5.  Inflammatory monocyte mobilization decreases patient survival in pancreatic cancer: a role for targeting the CCL2/CCR2 axis.

Authors:  Dominic E Sanford; Brian A Belt; Roheena Z Panni; Allese Mayer; Anjali D Deshpande; Danielle Carpenter; Jonathan B Mitchem; Stacey M Plambeck-Suess; Lori A Worley; Brian D Goetz; Andrea Wang-Gillam; Timothy J Eberlein; David G Denardo; Simon Peter Goedegebuure; David C Linehan
Journal:  Clin Cancer Res       Date:  2013-05-07       Impact factor: 12.531

6.  Emodin suppresses pulmonary metastasis of breast cancer accompanied with decreased macrophage recruitment and M2 polarization in the lungs.

Authors:  Xuemei Jia; Fang Yu; Junfeng Wang; Stephen Iwanowycz; Fatma Saaoud; Yuzhen Wang; Jun Hu; Qian Wang; Daping Fan
Journal:  Breast Cancer Res Treat       Date:  2014-10-14       Impact factor: 4.872

7.  M2 tumor-associated macrophages promote tumor progression in non-small-cell lung cancer.

Authors:  Ryota Sumitomo; Tatsuya Hirai; Masaaki Fujita; Hiroaki Murakami; Yosuke Otake; Cheng-Long Huang
Journal:  Exp Ther Med       Date:  2019-09-30       Impact factor: 2.447

8.  Sex Hormones and Lung Inflammation.

Authors:  Jorge Reyes-García; Luis M Montaño; Abril Carbajal-García; Yong-Xiao Wang
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 9.  Kras and Tumor Immunity: Friend or Foe?

Authors:  Jane Cullis; Shipra Das; Dafna Bar-Sagi
Journal:  Cold Spring Harb Perspect Med       Date:  2018-09-04       Impact factor: 6.915

Review 10.  Tumor-Associated Macrophages in Human Breast, Colorectal, Lung, Ovarian and Prostate Cancers.

Authors:  Irina Larionova; Gulnara Tuguzbaeva; Anastasia Ponomaryova; Marina Stakheyeva; Nadezhda Cherdyntseva; Valentin Pavlov; Evgeniy Choinzonov; Julia Kzhyshkowska
Journal:  Front Oncol       Date:  2020-10-22       Impact factor: 6.244

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