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

BMC Cancer201010:220

https://doi.org/10.1186/1471-2407-10-220

©  Dai et al; licensee BioMed Central Ltd. 2010

Received: 3 October 2009

Accepted: 20 May 2010

Published: 20 May 2010

Open Peer Review reports

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.

Keywords

Tumor StromaNSCLC PatientLung Cancer TissueMature Dendritic CellWest China Hospital

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)

Variable

N = 99

5-yr survival (%)

Age years median (range)

60 ( 37 - 80)

Overall

Gender (male: female)

80:19

32

Tumor stage:

  

   I

35

49

   II

20

35

   III

34

19

   IV

10

10

Histology

  

   Adenocarcinoma

45

22

   Squamous cell carcinoma

51

41

   Large cell carcinoma

3

33

Tumor grade

  

   Well differentiation

3

67

   Moderate differentiation

48

40

   Poor differentiation

29

24

   Not recorded

19

20

Lymph node metastasis

  

   No

59

44

   Yes

40

15

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).
Table 2

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

Cell type

Islets + Stroma

Islets

Stroma

P (islets versus stroma)

 

Number

Spearman's rho & P

Number

Spearman's rho & P

Number

Spearman's rho & P

 

Macrophages

15.2

(1.8 - 48.4)

rs = -0.105

P = 0.300

4.2

(0.2 - 40.6)

rs = 0.483

P = 0.000

7.2

(0.4 - 39.6)

rs = -0.541

P = 0.000

0.040

Mature dendritic cells

13.2

(1.4 - 137.6)

rs = 0.221

P = 0.028

4.2

(0 - 21.4)

rs = 0.404

P = 0.001

7.0

(0.2 - 25.4)

rs = 0.284

P = 0.045

0.000

CD8+ T cells

10.8

(0.4 - 45.0)

rs = 0.297

P = 0.003

4.2

(0 - 66.2)

rs = 0.247

P = 0.014

7.2

(0.2 - 71.4)

rs = 0.212

P = 0.035

0.032

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.

Figure 1
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.

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
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]".

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
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]".

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
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]".

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

Variable

Islets + Stroma

Islets

Stroma

 

< median

≥ median

P

< median

≥ median

P

< median

≥ median

P

Tumor stage:

         

   I-II

27

28

0.929

24

31

0.228

31

24

0.158

   III-IV

22

22

 

25

19

 

18

26

 

Histology

         

   Adenocarcinoma

16

29

0.012

19

26

0.228

19

26

0.228

   Non-adenocarcinoma

33

21

 

30

24

 

30

24

 

Tumor grade

         

   Well to moderate differentiation

26

24

0.646

26

24

0.248

26

24

0.495

   Poor differentiation

14

16

 

11

19

 

13

17

 

Lymph node metastasis

         

   No

28

31

0.624

25

34

0.103

33

26

0.153

   Yes

21

19

 

24

16

 

16

24

 
Table 4

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

Variable

Islets + Stroma

Islets

Stroma

 

< median

≥ median

P

< median

≥ median

P

< median

≥ median

P

Tumor stage:

         

   I-II

21

34

0.012

23

32

0.107

22

33

0.044

   III-IV

28

16

 

26

18

 

27

17

 

Histology

         

   Adenocarcinoma

30

15

0.002

27

18

0.070

27

18

0.070

   Non-adenocarcinoma

19

35

 

22

32

 

22

32

 

Tumor grade

         

   Well to moderate differentiation

21

29

0.861

23

27

0.647

26

24

0.066

   Poor differentiation

12

18

 

12

18

 

9

21

 

Lymph node metastasis

         

   No

23

36

0.014

24

35

0.041

25

34

0.103

   Yes

26

14

 

25

15

 

24

16

 
Table 5

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

Variable

Islets + Stroma

Islets

Stroma

 

< median

≥ median

P

< median

≥ median

P

< median

≥ median

P

Tumor stage:

         

   I-II

23

32

0.107

24

31

0.228

27

28

0.840

   III-IV

26

18

 

25

19

 

23

21

 

Histology

         

   Adenocarcinoma

24

21

0.547

23

22

0.841

24

21

0.688

   Non-adenocarcinoma

25

29

 

26

28

 

26

28

 

Tumor grade

         

   Well to moderate differentiation

26

24

0.248

29

21

0.040

28

22

0.248

   Poor differentiation

11

19

 

10

20

 

12

18

 

Lymph node metastasis

         

   No

25

34

0.103

27

32

0.416

29

30

0.838

   Yes

24

16

 

22

18

 

21

19

 
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

Factor

Hazard ratio

95% Confidence interval

P

Tumor stage

6.790

1.319 - 34.952

0.022

Histology

0.973

0.934 - 1.003

0.116

Tumor grade

0.208

0.076 - 2.669

0.228

Lymph node metastasis

0.661

0.260 - 1.679

0.384

Macrophages in islets

0.909

0.834 - 0.990

0.028

Macrophages in stroma

1.080

1.029 - 1.133

0.002

Ratio of islets/stroma of macrophages

0.970

0.847 - 1.111

0.663

Mature dendritic cells in islets and stroma

1.061

0.938 - 1.200

0.350

Mature dendritic cells in islets

0.922

0.841 - 1.012

0.087

Mature dendritic cells in stroma

1.002

0.933 - 1.075

0.963

CD8+ T cells in islets and stroma

1.013

0.988 - 1.039

0.311

CD8+ T cells in islets

1.029

0.992 - 1.068

0.125

CD8+ T cells in stroma

0.978

0.934 - 1.023

0.335

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.

Declarations

Acknowledgements

LL is supported by grants from Science and Technology Bureau of Sichuan Province (No. 2006Z09-012, No. 2007SGY018, and No. 2009SZ0152). ZY is supported by grants from the U.S. Army Medical Research and Material Command, Department of Defense (W81XWH-05-1-0567), NIH/NCRR (2P20 RR020152-06), and Louisiana Cancer Research Consortium Fund; this international collaboration is particularly supported by Tulane Framework for Global Health Seed Grant (A47599G1), NIH - Fogarty Center - Dr. Buekens Seed Grant.

Authors’ Affiliations

(1)
Department of Thoracic and Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu
(2)
Daping Hospital, the Third Military Medical University, Chongqing City, China
(3)
The Third People's Hospital of Zigong City, China
(4)
Departments of Structural & Cellular Biology and Orthopaedic Surgery, Tulane Cancer Center, LCRC, Tulane Center for Aging, Tulane Center for Gene Therapy, Tulane University School of Medicine, New Orleans, USA

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    30. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/10/220/prepub

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