Literature DB >> 27145494

A prognostic risk model for patients with triple negative breast cancer based on stromal natural killer cells, tumor-associated macrophages and growth-arrest specific protein 6.

Wenjing Tian1, Le Wang1, Lili Yuan2, Wenming Duan3, Wenhui Zhao1, Shuhuai Wang4, Qingyuan Zhang1,5.   

Abstract

The aim of this study was to establish a prognostic risk model for patients with triple negative breast cancer (TNBC). A total of 278 specimens of human TNBC tissues were investigated by immunohistochemistry for growth-arrest specific protein 6 expression, infiltrations of stromal natural killer cells and tumor-associated macrophages. According to their prognostic risk scores based on the model, patients were divided into three groups (score 0, 1-2, 3). Correlations of prognostic risk scores, clinicopathologic features and overall survival (OS) were analyzed. To study the clinical value of this stratification model in early disease recurrence or metastasis, 177 patients were screened out for further analysis. Based on disease free survival (DFS), 90 patients fell within the DFS ≤3 years group and 87 patients within the DFS ≥5 years group. We analyzed the differences in prognostic risk scores between the two groups. The prognostic risk scores were negatively related to tumor size, lymph node metastasis and P53 status (P < 0.001 for all). Patients with low prognostic risk scores had longer OS (P = 0.001). Using multivariate analysis, it was determined that TNM stage (HR = 0.432, 95% confidence interval [CI] = 0.281-0.665, P = 0.003), FOXP3 positive lymphocytes (HR = 1.712, 95% CI = 1.085-2.702, P = 0.021) and prognostic risk scores (HR = 1.340, 95% CI = 1.192-1.644, P = 0.005) were independent prognostic factors for OS. Compared with the DFS ≥5 years group, the DFS ≤3 years group patients had significantly higher prognostic risk scores (P < 0.001). In conclusion, the prognostic risk score of the model was a significant indicator of prognosis for patients with TNBC.
© 2016 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

Entities:  

Keywords:  Growth-arrest specific gene 6; natural killer cell; prognostic predictor; triple negative breast cancer; tumor-associated macrophages

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Substances:

Year:  2016        PMID: 27145494      PMCID: PMC4946705          DOI: 10.1111/cas.12964

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


Triple‐negative breast cancer (TNBC), immunohistochemically defined by lack of expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2), is a highly aggressive subtype of breast cancer that accounts for approximately 15–20% of all breast cancers.1, 2, 3 The absence of ER, PR and HER2 protein receptors on TNBC precludes many therapeutic methods, such as endocrine therapy and anti‐HER2 molecular targeted therapy, and, therefore, patients diagnosed with TNBC have a higher risk of disease relapse within 5 years and a higher death rate than patients with other types of breast cancers.4, 5, 6 To date, there are no effective therapeutic targets available against TNBC.7, 8 Thus, identification and evaluation of new prognostic biomarkers and development of new therapeutic strategies are urgently needed to improve the treatment outcomes of TNBC patients. It is well established that tumor microenvironment plays a crucial role in cancer development and metastasis.9 Natural killer (NK) cells, a type of cytotoxic lymphocyte, are a key component of the innate immune system. Compared with circulating NK cells, the tissue‐infiltrating NK cells in solid tumors appear to have a less robust response.10, 11, 12 In human solid tumors, NK cells were major components of immune cells in early tumor tissue; however, in advanced human neoplasms, NK cells were usually not found in large numbers.13 These findings indicate that NK cells play an important role in immune surveillance, but once tumor genesis occurs, the tumor microenvironment is suppressive for NK cells. Overcoming active immune suppression in the tumor microenvironment is an important consideration for tumor‐infiltrating NK cells. However, few studies have focused on the role of NK cells in breast cancer, particularly in TNBC. Growth arrest‐specific protein 6 (Gas6), identified in 1995,14, 15 acts as the ligand to the Axl/Tyro3/Mer family of tyrosine kinase receptors and exerts mitogenic activity when bound to these receptors.16 Gas6 binds to all three receptors, although Axl is the highest affinity receptor (Axl > Tyro3 > Mer); Gas6 has 3‐fold to 10‐fold higher affinity for Axl than Mer.17, 18, 19, 20, 21 Several studies have indicated that Axl plays a role in tumor invasion and metastasis in a number of cancers, including breast cancer.22 Interestingly, a separate study found that Gas6 correlated positively with a number of favorable prognostic variables.23 However, this study enrolled all types of breast cancers and did not include further immunohistochemical characteristics. It has also been demonstrated that Axl is overexpressed in highly invasive breast cancer cell lines (such as MDA‐MB‐435s, MDA‐MB‐157, MDA‐MB‐436 and MDA‐MB‐231); in contrast, weakly invasive breast cancer cell lines do not or only weakly express Axl.24 Is Gas6 also a good biomarker for prognosis of TNBC patients? That is a subject worthy of further study. Tumor‐associated macrophages (TAM), which are often abundantly present in malignant tumors, share many common features with alternatively activated anti‐inflammatory macrophages (M2).25 CD163 is a scavenger receptor upregulated by macrophages in an anti‐inflammatory environment,26 and regarded as a highly specific monocyte/macrophage marker for M2 macrophages.27, 28, 29 In addition, previous studies revealed that TAM were the main source of Gas6 within the tumor microenvironment, and Gas6 expression was upregulated by IL‐10 and macrophage colony stimulating factor (M‐CSF).30 In Chitu et al.,31 M‐CSF was the primary cytokine that induced M2 polarization of macrophages. Gas6 can suppress the proliferation and IFN‐γ production of NKG2D‐activated NK cells.32 A previous study showed that the infiltration of CD163 macrophages into tumor stroma, but not tumor nest is of clinical relevance for breast cancer patients.33 Stromal lymphocytic infiltration constitutes a robust prognostic factor in TNBC.34, 35 In another study, comparing Gas6 expression in tumor‐infiltrating macrophages and resident tissue macrophages, the researchers found a strong upregulation of Gas6 in tumor stromal macrophages.30 This means that Gas6 is prominently expressed by leukocytes, in particular by macrophages in tumor stroma. We think stromal immune microenvironment is strongly correlated with prognosis for TNBC subtype. Therefore, we proposed that there exists a TAMGas6–NK cell axis in the breast cancer microenvironment. Stromal TAM would negatively influence the infiltration of NK cells by producing Gas6 protein. The aim of this study was to investigate the prognostic values of stromal NK cells and Gas6 in TNBC, and to eventually establish a prognostic risk model for patients with TNBC.

Materials and Methods

Patients and clinical samples

This study used archival materials from the Department of Pathology at the Cancer Hospital of Harbin Medical University (CHHMU, Harbin, China), including breast cancer tissue samples from 278 patients with histologically proven TNBC (ER negative, PR negative and HER‐2 negative). The specimens of breast cancer tissues were collected and snap‐frozen from breast cancer patients who had surgery between 2006 and 2008 at the CHHMU. All breast cancers were invasive ductal carcinomas, neoadjuvant‐free and collected before systemic treatments. Patients were treated according to standard practice guidelines. Clinicopathological information and follow‐up results were obtained for all breast cancer patients along with informed consent. Four‐micron tissue sections were prepared from a formalin‐fixed and paraffin‐embedded sample. For P53, positive staining of more than 10% of the tumor cells was defined as positive tumor expression and staining of 10% or fewer of the cells as negative tumor expression.36 All protocols were reviewed and approved by the Ethical Committee of Harbin Medical University in Harbin, China. Use of human breast tumors in immunohistochemistry experiments was approved by the Institutional Review Board at CHHMU, and was performed in accordance with the policies of CHHMU.

Follow up

The clinical and pathological records of all patients in the study were reviewed periodically. Examinations were performed every 3–6 months for the first 5 years and every 12 months thereafter during the follow‐up period. Patients were followed regularly for a minimum of 5 years of follow up at CHHMU. The clinical records were obtained from the departments providing follow‐up care. Survival was calculated in months from the date of diagnosis to whichever of the following occurred first: the date of death, the date last known to be alive, or 11 August 2015, which was the follow‐up cut‐off date used in our analysis. The median follow‐up time was 76 months (range, 4–116 months).

Immunohistochemistry and pathologic assessment

Detection of CD8 positive lymphocytes, forkhead box protein 3 (FOXP3) positive lymphocytes and Gas6 was performed with anti‐CD8 polyclonal antibody (1:100, ab4055; Abcam, Cambridge, MA, USA), anti‐FOXP3 monoclonal antibody (1:75, ab20034; Abcam) and polyclonal antibodies directed against Gas6 (1:100, ab136249; Abcam), respectively. Detection of NK cells and M2 TAM was performed with polyclonal antibodies directed against NKp46 (1:100, ab199128; Abcam) and monoclonal anti‐CD163 antibody (1:200, ab156769; Abcam). The specificities of these antibodies have been previously demonstrated.27, 28, 29, 37 Immunohistochemical staining was performed on 4‐μm thick formalin‐fixed paraffin sections after heating overnight at 55°C followed by subsequent deparaffinization in xylene and rehydration through graded alcohols. After deparaffinization and hydration, sections were washed in PBS (3 min × 3) and incubated in 0.01‐M citrate buffer (pH = 6.0) for 10 min in a microwave for antigen retrieval. After washing in PBS (5 min × 3), sections were treated with 3% H2O2 in the dark for 10–20 min. Each section was incubated with antibodies recognizing of CD8, FOXP3, CD163, NKp46 or Gas6, at 4°C overnight. After washing in PBS (5 min × 3), each section was incubated with secondary antibody at room temperature for 30 min. After washing in PBS (5 min × 3), each section was treated with diaminobenzadine (DAB) working solution at room temperature for 3–10 min and counterstained with hematoxylin. As negative controls, the primary antibody was substituted by PBS. Positive controls included lung cancer tissues with positive expression of stromal CD8 positive lymphocytes, FOXP3 positive lymphocytes, NK cells, TAM and Gas6. Details of scoring systems and cut‐off points for high or low infiltrations of immune cells and Gas6 expressions are described in previous studies (Figs 1, 2, 3, 4, 5).33, 38, 39, 40 The immunostaining and histopathologic results were evaluated by two pathologists who had no access to clinical data.
Figure 1

Immunohistochemical staining of stromal natural killer (NK) cells in triple negative breast cancer (TNBC) tissues (200×). (a) High infiltration level of stromal NK cell. (b) Stromal NK cell negative staining.

Figure 2

Immunohistochemical staining of growth‐arrest specific gene 6 (Gas6) protein in triple negative breast cancer (TNBC) tissues (200×). (a) Gas6 positive staining. (b) Gas6 negative staining.

Figure 3

Immunohistochemical staining of stromal tumor‐associated macrophages (TAM) in triple negative breast cancer (TNBC) tissues (200×). (a) High infiltration level of stromal TAM. (b) Stromal TAM negative staining.

Figure 4

Immunohistochemical staining of CD8 positive lymphocytes in triple negative breast cancer (TNBC) tissues (200×). (a) High infiltration level of stromal CD8 positive lymphocytes. (b) Low infiltration level of stromal CD8 positive lymphocytes.

Figure 5

Immunohistochemical staining of forkhead box protein 3 (FOXP3) positive lymphocytes in triple negative breast cancer (TNBC) tissues (200×). (a) High infiltration level of stromal FOXP3 positive lymphocytes. (b) Low infiltration level of stromal FOXP3 positive lymphocytes.

Immunohistochemical staining of stromal natural killer (NK) cells in triple negative breast cancer (TNBC) tissues (200×). (a) High infiltration level of stromal NK cell. (b) Stromal NK cell negative staining. Immunohistochemical staining of growth‐arrest specific gene 6 (Gas6) protein in triple negative breast cancer (TNBC) tissues (200×). (a) Gas6 positive staining. (b) Gas6 negative staining. Immunohistochemical staining of stromal tumor‐associated macrophages (TAM) in triple negative breast cancer (TNBC) tissues (200×). (a) High infiltration level of stromal TAM. (b) Stromal TAM negative staining. Immunohistochemical staining of CD8 positive lymphocytes in triple negative breast cancer (TNBC) tissues (200×). (a) High infiltration level of stromal CD8 positive lymphocytes. (b) Low infiltration level of stromal CD8 positive lymphocytes. Immunohistochemical staining of forkhead box protein 3 (FOXP3) positive lymphocytes in triple negative breast cancer (TNBC) tissues (200×). (a) High infiltration level of stromal FOXP3 positive lymphocytes. (b) Low infiltration level of stromal FOXP3 positive lymphocytes.

Prognostic risk model for patients with triple‐negative breast cancer

We developed a prognostic risk model based on our hypothesis of a TAMGas6–NK cell axis. The risk factors were low infiltration of stromal NK cells, high infiltration of stromal TAM and Gas6 expression positive, respectively (Table 1). According to the immunohistochemistry results, patients were graded using this model. The prognostic risk scores ranged from 0 to 3. We found that there were no significant differences in overall survival (OS) between score 1 and 2 (P = 0.245). Therefore, we divided patients into three groups based on their prognostic scores in our model (score = 0, 1–2 or 3).
Table 1

Prognostic risk model

Risk factorsScore
Low stromal NK cell infiltration1
Stromal TAM positive1
Gas6 expression positive1

Gas6, growth‐arrest specific gene 6; NK, natural killer; TAM, tumor‐associated macrophage.

Prognostic risk model Gas6, growth‐arrest specific gene 6; NK, natural killer; TAM, tumor‐associated macrophage.

Statistical analysis

Statistical analysis was performed using SPSS v 21 (Chicago, IL, USA). Associations of stromal NK cell infiltrations, Gas6 expression and patients' clinicopathological features were assessed using the Pearson chi‐square test. This study employs the method of Spearman correlation analysis to investigate the relationships of stromal NK cells, Gas6 expression and stromal TAM. The Kaplan–Meier method was used to estimate OS. The influence of different variables on survival was assessed using Cox multivariate regression analyses. Hazard ratios and their 95% confidence intervals (CI) were recorded for each marker. For continuous variables, Student's t‐test was performed. P‐values of less than 0.05 were considered significant.

Results

Patients' characteristics

Analyses for the infiltration of NK cells, TAM and Gas6 expression were performed using specimens from 278 untreated female patients with invasive TNBC. The median age was 50 years (range, 28–75). Of all the patients, 115 patients (52.2%) had tumors sized ≤2 cm and 163 patients (47.8%) had tumors sized >2 cm. Lymph node metastasis (LNM) was present in 145 patients (52.2%), and absent in 133 patients (47.8%). A total of 231 patients (83.1%) were classified at TNM stage I or II, and 46 (16.9%) were TNM stage III. A total of 196 patients (70.5%) were classified as histological grade I or II, and 72 patients were grade III (29.5%). P53‐negative tumors were observed in 103 patients (37.1%), and 175 patients (62.9%) were P53 positive. Epidermal growth factor receptor (EGFR)‐positive tumors were present in 194 patients (70.0%), and absent in 84 patients (30.0%). A total of 135 (48.6%) patients were classified as having low infiltration of CD8 positive stromal lymphocytes, and 143 (51.4%) patients scored as high infiltration. A total of 194 patients (69.8%) were classified as low infiltration of FOXP3 positive stromal lymphocytes, and 84 patients (30.2%) were high infiltration.

Correlations of stromal natural killer cells, Gas6 expression and clinicopathological features

We analyzed the associations of the infiltration levels of stromal NK cells, Gas6 expression, and a series of clinicopathological characteristics (Table 2). Patients were divided into low (N = 223) or high (N = 55) stromal NK cell infiltration groups, low (N = 189) or high (N = 89) stromal NK cell infiltration groups, and Gas6 negative (N = 166) or positive (N = 112) groups. We found that the infiltration level of stromal NK cells was significantly correlated with tumor size (P < 0.001), LNM (P = 0.004), histological grade (P = 0.040) and P53 expression (P < 0.001). Gas6 expression was significantly correlated only with LNM (P = 0.001). Stromal TAM infiltration was correlated with tumor size (P = 0.001), LNM (P < 0.001) and P53 (P < 0.001). The prognostic risk score was significantly correlated with tumor size, LNM and P53 status (P < 0.001 for all). All the patients were Ki‐67 index >20%.
Table 2

Correlations of stromal NK cells, TAM, Gas6 expression, prognostic risk scores and clinicopathological features

Stromal NK cell P Gas6 expression P Stromal TAM P Prognostic risk score P
Low N = 223High N = 55Negative N = 166Positive N = 112Low N = 189High N = 890 N = 381–2 N = 1823 N = 58
Age (years)
<50148340.525110720.734126560.54025117400.807
≥50752156406333136518
Tumor size (cm)
≤27540<0.00174410.18691240.001267712<0.001
>214815927198651210546
Lymph node metastasis
Negative97360.00493400.00111023<0.001269215<0.001
Positive1261972727966129043
TNM stage
I,II189420.137142890.185161700.17531153470.835
III34132423281972911
Histological grade
I, II151450.040123730.110140560.05730131350.112
III72104339493385123
P53 status
Negative7132<0.00168350.1008914<0.00122756<0.001
Positive152239877100751610752
Epidermal growth factor receptor
Negative65190.43552320.62459250.5961357140.494
Positive1583611480130642512544
Stromal CD8+ TIL
Low110250.60780550.88193420.7541889280.984
High1133086579647209330
Stromal FOXP3+ TIL
Low150440.065112820.306133610.75631121420.162
High73115430562876116

FOXP3, forkhead box protein 3; Gas6, growth‐arrest specific gene 6; NK, natural killer; TAM, tumor‐associated macrophage; TIL, tumor infiltrating lymphocyte.

Correlations of stromal NK cells, TAM, Gas6 expression, prognostic risk scores and clinicopathological features FOXP3, forkhead box protein 3; Gas6, growth‐arrest specific gene 6; NK, natural killer; TAM, tumor‐associated macrophage; TIL, tumor infiltrating lymphocyte. To study the clinical values of this stratification schema in early local disease recurrence and distant disease metastasis, 177 patients were screened out for further analysis. Disease‐free survival (DFS) is an important index reflecting early disease recurrence and metastasis. Based on DFS, 90 patients fell within a DFS ≤3 years group and 87 patients into a DFS ≥5 years group. Patients' characteristics and stromal NK cell infiltration of the two groups are listed in Table 3. We found that the patients in DFS ≥5 years group had significantly higher stromal NK cell infiltration (P < 0.001) and lower prognostic risk scores (P < 0.001), stromal TAM (P = 0.004) and Gas6 expressions (P < 0.001).
Table 3

Clinicopathological features, prognostic risk scores, infiltration levels of stromal NK cells and TAM between DFS ≤3 years group and DFS ≥5 years group

CharacteristicsDFS ≤3 years group (N = 90)DFS ≥5 years group (N = 87) P‐value
Age (years)
<5057630.196
≥503324
Tumor size (cm)
≤237430.267
>25344
Lymph node metastasis
Negative39500.060
Positive5137
TNM stage
I, II66780.005
III249
Histological grade
I, II63690.155
III2718
P53 status
Negative28370.115
Positive6250
Epidermal growth factor receptor
Negative20400.001
Positive7047
Stromal CD8+ TIL
Low52360.029
High3851
Stromal FOXP3+ TIL
Low68530.036
High2234
Stromal NK cell
Low7961<0.001
High1126
Gas6 expression
Negative4466<0.001
Positive4621
Stromal TAM
Low50660.004
High4021
Prognostic risk score
0621<0.001
1–25657
3289

DFS, disease‐free survival; FOXP3 forkhead box protein 3; Gas6, growth‐arrest specific gene 6; NK, natural killer; TAM, tumor‐associated macrophage; TIL, tumor infiltrating lymphocyte.

Clinicopathological features, prognostic risk scores, infiltration levels of stromal NK cells and TAM between DFS ≤3 years group and DFS ≥5 years group DFS, disease‐free survival; FOXP3 forkhead box protein 3; Gas6, growth‐arrest specific gene 6; NK, natural killer; TAM, tumor‐associated macrophage; TIL, tumor infiltrating lymphocyte.

Predictive significance of stromal natural killer cell, growth arrest‐specific protein 6 expression and the prognostic risk model in triple‐negative breast cancer patients

Multivariate survival analysis was used to evaluate the prognostic risk scores and clinicopathological characteristics with respect to prognosis in TNBC patients. We found that TNM stage (HR = 0.432, 95% CI = 0.281–0.665, P = 0.003), FOXP3 positive tumor infiltrating lymphocytes (TIL) (HR = 1.712, 95% CI = 1.085–2.702, P = 0.021) and prognostic risk scores (HR = 1.340, 95% CI = 1.192–1.644, P = 0.005) were independent prognostic factors for OS (Table 4). The Kaplan–Meier 5‐year survival curves stratified for stromal NK cell infiltrations, Gas6 expressions and prognostic risk scores in TNBC patients are shown in Figure 6. Among the 278 TNBC patients, the infiltration level of stromal NK cells (P = 0.018), Gas6 expression (P = 0.002) and prognostic risk score (P = 0.001) showed significant effects on OS. These data indicate that low infiltration levels of NK cells, high Gas6 expression and high prognostic risk score were associated with worse OS in TNBC. Compared with stromal NK cells, TAM or Gas6 alone, the prognostic risk model demonstrated a stronger prognostic value for TNBC patients.
Table 4

Prognostic factors in the Cox proportional hazards model

VariablesUnivariate analysisMultivariate analysis
Hazard ratio95% CI P‐valueHazard ratio95% CI P‐value
Age (years)
<50⁄≥500.8540.585–1.2470.414
Tumor size (cm)
≤2.0⁄>2.00.9150.628–1.3310.641
Lymph node metastasis
Negative⁄positive0.8120.561–1.1750.269
TNM stage
I/II and III0.4840.317–0.7380.0010.432(0.281–0.665)0.003
Histological grade
I/II and III1.3580.891–2.0700.155
P53 status
Negative/positive0.6790.456–1.0110.0570.886(0.582–1.348)0.571
Epidermal growth factor receptor
Negative/positive0.5910.382–0.9150.0180.660(0.424–1.027)0.650
Stromal CD8+ TIL
Low/high1.4531.004–2.1020.0471.365(0.937–1.987)0.105
Stromal FOXP3+ TIL
Low/high1.7431.111–2.7340.0161.712(1.085–2.702)0.021
Prognostic risk score
0–31.8571.347–2.560<0.0011.340(1.192–1.644)0.005

CI, confidence interval; FOXP3, forkhead box protein 3; TIL, tumor infiltrating lymphocyte.

Figure 6

Kaplan–Meier (K‐M) analysis for overall survival (OS). (a) K‐M analysis of OS based on stromal NK cells infiltration (P = 0.018) (b) K‐M analysis of OS based on Gas6 expressions (P = 0.002) (c) K‐M analysis of OS based on stromal TAM (P = 0.005) (d) K‐M analysis of OS based on prognostic risk scores (P = 0.001).

Prognostic factors in the Cox proportional hazards model CI, confidence interval; FOXP3, forkhead box protein 3; TIL, tumor infiltrating lymphocyte. Kaplan–Meier (K‐M) analysis for overall survival (OS). (a) K‐M analysis of OS based on stromal NK cells infiltration (P = 0.018) (b) K‐M analysis of OS based on Gas6 expressions (P = 0.002) (c) K‐M analysis of OS based on stromal TAM (P = 0.005) (d) K‐M analysis of OS based on prognostic risk scores (P = 0.001).

Correlations of stromal tumor‐associated macrophages, natural killer cell infiltrations and growth arrest‐specific protein 6 expression

We detected high TAM infiltration in 23 of 166 (13.9%) patients in the Gas6‐negative group versus 66 of 112 (58.9%) patients in the Gas6‐positive group, respectively. The infiltration level of stromal TAM correlated positively with Gas6 expression (correlation coefficient 0.474, P < 0.001). Stromal NK cells were highly infiltrated in 51 of 166 (30.7%) patients of the Gas6‐negative group and 4 of 112 (3.6%) patients of the Gas6‐positive group (correlation coefficient −0.312, P < 0.001).

Discussion

In this study we showed that the infiltration level of stromal NK cells was associated with a series of good clinicopathological characteristics and longer survival in patients with TNBC, but negatively influenced by Gas6 expression (correlation coefficient −0.312, P < 0.001). Low stromal NK cell infiltration in TNBC samples was associated with higher Gas6 expression and shorter survival. NK cells are an important component of innate immune defense cancer, particularly in the elimination of cancer metastases and small tumors. High numbers of immune cells, such as NK cells or CD8‐positive T cells, infiltrating the microenvironment of tumors have been reported to correlate with prolonged survival in patients with various cancers.41 Our results are comparable to those reported in previous studies. Researchers have observed a significant association of NK cell infiltration and patient survival in breast cancer. During breast cancer progression, expression of activating NK cell receptors decreased, while expression of NK cell inhibitory receptors increased.42 Survival analyses performed on a larger number of breast cancer patients (n = 115), derived from four publicly available breast cancer datasets of gene expression, revealed significantly (P < 0.03) increased survival in patients that showed higher expression of the NCR3 (NKp30), NCR1 (NKp46), CD96, CRTAM, DNAM1 and NKG2D.43, 44, 45 It has been reported that tumor stromal tissues from the good‐outcome cluster overexpressed an obvious set of immune‐related genes, including T cell and NK cell markers.46 Little is known about the role of Gas6 in breast cancer, especially in TNBC. Previous studies have shown that TAM were induced by the tumor microenvironment to produce elevated levels of Gas6 in tumor stroma and Gas6 was prominently expressed by leukocytes, in particular by macrophages.30 Our study found that Gas6 expression positively correlated with the infiltration level of stromal TAM (correlation coefficient 0.474, P < 0.001) in TNBC environment, and Gas6 expression is a predictor of poor survival in patients with TNBC. This is the first documented positive relationship between TAM and Gas6 expression in human TNBC. Our results seem to contradict those reported in previous studies. Researchers had observed that Gas6 correlated positively with a number of favorable prognostic variables, including lymph node negativity (P = 0.0002), smaller size of tumors (P = 0.02), low Nottingham prognostic index scores (P = 0.03) and low nuclear morphology (P = 0.03) in human breast cancer.23 However, this phenomenon may be explained as follows. Approximately 60–80% of breast cancer cases are hormone receptor positive, and TNBC accounts for only 15–20%. However, the former study did not include differentiation via immunohistochemical characteristics. Moreover, Axl is overexpressed in highly invasive breast cancer.24 Therefore, the research above applies primarily only to hormone receptor positive breast cancers, not TNBC. For TNBC, Gas6 expression is a predictor of poor prognosis. We propose that there exists a TAMGas6‐NK cells axis in the breast cancer microenvironment, in which stromal TAM negatively influence the infiltration of NK cells by producing Gas6 protein. It has been proven that stromal TAM are a prognostic factor for reduced breast cancer‐specific survival.33 In this study we found that stromal NK cell infiltration was a positive prognostic factor, and Gas6 protein was a negative prognostic factor in TNBC. A risk model combining the three factors of the TAMGas6–NK cells axis has higher prognostic value than any single factor. Patient groups expressing the combination of high TAM, high Gas6 and low NK cells (risk score = 3) exhibited the lowest survival rates. Conversely, groups with low TAM, low Gas6 and high NK cell infiltration (risk score = 0) exhibited the highest survival rates. The survival of patients with an intermediate risk (score = 1–2) was between these extremes. Tumor infiltrating lymphocytes as an expression of immune response are associated with patient survival in a wide variety of tumor types.47 CD8‐positive lymphocytes (P = 0.036)40 and FOXP3‐positive lymphocytes48 were significantly associated with prognosis in TNBC. In this study, CD8‐positive (P = 0.047) and FOXP3‐positive (P = 0.016) lymphocytes were significantly correlated with patients' survival, and FOXP3‐positive lymphocyte (P = 0.021) was a prognostic factor independent of prognostic risk score and TNM stage. A recent study suggested that Axl expression was associated with epithelial–mesenchymal transition (EMT).22 EMT was associated with acquired resistance to EGFR‐specific tyrosine kinase inhibitors (TKI).49, 50 EGFR is overexpressed in more than 50% of TNBC, yet EGFR TKI remain ineffective for their treatment.51, 52 An overexpressed/overactivated Gas6/Axl axis may be one of the mechanisms that promote resistance to EGFR targeted therapies in TNBC. In addition, the Gas6/Axl pathway plays a negative role in the regulation of cancer metastases via the modulation of NK cell activity and proliferation.32 Could inhibitors of the Gas6/Axl axis have beneficial anti‐cancer effects through NK cell activation? This is worthy of further investigation. In summary, we established a predictive risk model, yielding scores with significant prognostic value for patients with TNBC. There are limitations to the scope of this study. We observed the prognostic value of the predictive model in invasive ductal carcinomas of TNBC. This observation needs to be studied in all histological subtypes of breast cancers, including at the molecular level. These problems will be resolved in future studies. We believe that our data will provide the foundation for developing new prognostic biomarkers and improving the treatment outcomes of TNBC patients.

Disclosure Statement

The authors have no conflict of interest to declare.
  53 in total

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2.  Vimentin regulates EMT induction by Slug and oncogenic H-Ras and migration by governing Axl expression in breast cancer.

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3.  The prognostic significance of intratumoral natural killer cells in patients with colorectal carcinoma.

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Journal:  Cancer       Date:  1997-06-15       Impact factor: 6.860

4.  An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Authors:  Lance D Miller; Johanna Smeds; Joshy George; Vinsensius B Vega; Liza Vergara; Alexander Ploner; Yudi Pawitan; Per Hall; Sigrid Klaar; Edison T Liu; Jonas Bergh
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-02       Impact factor: 11.205

5.  Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype: a population-based study from the California cancer Registry.

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Journal:  Cancer       Date:  2007-05-01       Impact factor: 6.860

6.  Malignant cells fuel tumor growth by educating infiltrating leukocytes to produce the mitogen Gas6.

Authors:  Sonja Loges; Thomas Schmidt; Marc Tjwa; Katie van Geyte; Dirk Lievens; Esther Lutgens; Davy Vanhoutte; Delphine Borgel; Stephane Plaisance; Marc Hoylaerts; Aernout Luttun; Mieke Dewerchin; Bart Jonckx; Peter Carmeliet
Journal:  Blood       Date:  2009-11-20       Impact factor: 22.113

7.  The protein encoded by a growth arrest-specific gene (gas6) is a new member of the vitamin K-dependent proteins related to protein S, a negative coregulator in the blood coagulation cascade.

Authors:  G Manfioletti; C Brancolini; G Avanzi; C Schneider
Journal:  Mol Cell Biol       Date:  1993-08       Impact factor: 4.272

8.  Stromal gene expression predicts clinical outcome in breast cancer.

Authors:  Greg Finak; Nicholas Bertos; Francois Pepin; Svetlana Sadekova; Margarita Souleimanova; Hong Zhao; Haiying Chen; Gulbeyaz Omeroglu; Sarkis Meterissian; Atilla Omeroglu; Michael Hallett; Morag Park
Journal:  Nat Med       Date:  2008-04-27       Impact factor: 53.440

9.  Prediction of outcome of early ER+ breast cancer is improved using a biomarker panel, which includes Ki-67 and p53.

Authors:  E K A Millar; P H Graham; C M McNeil; L Browne; S A O'Toole; A Boulghourjian; J H Kearsley; G Papadatos; G Delaney; C Fox; E Nasser; A Capp; R L Sutherland
Journal:  Br J Cancer       Date:  2011-06-28       Impact factor: 7.640

10.  Plasma concentrations predict aortic expression of growth-arrest-specific protein 6 in patients undergoing coronary artery bypass grafting.

Authors:  Chien-Hsing Lee; Yi-Shing Shieh; Chien-Sung Tsai; Yi-Jen Hung; Yi-Ting Tsai; Chih-Yuan Lin
Journal:  PLoS One       Date:  2013-11-13       Impact factor: 3.240

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  17 in total

1.  CD73 immune checkpoint defines regulatory NK cells within the tumor microenvironment.

Authors:  Shi Yong Neo; Ying Yang; Julien Record; Ran Ma; Xinsong Chen; Ziqing Chen; Nicholas P Tobin; Emily Blake; Christina Seitz; Ron Thomas; Arnika Kathleen Wagner; John Andersson; Jana de Boniface; Jonas Bergh; Shannon Murray; Evren Alici; Richard Childs; Martin Johansson; Lisa S Westerberg; Felix Haglund; Johan Hartman; Andreas Lundqvist
Journal:  J Clin Invest       Date:  2020-03-02       Impact factor: 14.808

2.  Jagged1 modulated tumor-associated macrophage differentiation predicts poor prognosis in patients with invasive micropapillary carcinoma of the breast.

Authors:  Hang Liu; Jingxuan Wang; Zhaoliang Liu; Le Wang; Shoujun Liu; Qingyuan Zhang
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

3.  Anti-angiogenic and anti-tumor effects of metronomic use of novel liposomal zoledronic acid depletes tumor-associated macrophages in triple negative breast cancer.

Authors:  Xin-Jun Cai; Zeng Wang; Jia-Wei Cao; Jian-Jun Ni; Ying-Ying Xu; Jun Yao; Hong Xu; Fang Liu; Gao-Yi Yang
Journal:  Oncotarget       Date:  2017-08-24

4.  Prognostic Significance of Tumor-Infiltrating Natural Killer Cells in Solid Tumors: A Systematic Review and Meta-Analysis.

Authors:  Shuo Zhang; Weijian Liu; Binwu Hu; Peng Wang; Xiao Lv; Songfeng Chen; Zengwu Shao
Journal:  Front Immunol       Date:  2020-07-02       Impact factor: 7.561

5.  Peritoneal NK cells are responsive to IL-15 and percentages are correlated with outcome in advanced ovarian cancer patients.

Authors:  Ralph J Maas; Jolien van der Meer; Leon Massuger; Harry Dolstra; Janneke S Hoogstad-van Evert; Jeannette Cany; Sophieke van der Steen; Joop H Jansen; Jeffrey S Miller; Ruud Bekkers; Willemijn Hobo
Journal:  Oncotarget       Date:  2018-10-05

6.  Development and validation of nomograms integrating immune-related genomic signatures with clinicopathologic features to improve prognosis and predictive value of triple-negative breast cancer: A gene expression-based retrospective study.

Authors:  Kang Wang; Hai-Lin Li; Yong-Fu Xiong; Yang Shi; Zhu-Yue Li; Jie Li; Xiang Zhang; Hong-Yuan Li
Journal:  Cancer Med       Date:  2019-01-24       Impact factor: 4.452

Review 7.  The Obesity Paradox in Cancer, Tumor Immunology, and Immunotherapy: Potential Therapeutic Implications in Triple Negative Breast Cancer.

Authors:  Adviti Naik; Arta Monir Monjazeb; Julie Decock
Journal:  Front Immunol       Date:  2019-08-14       Impact factor: 7.561

Review 8.  Eukaryotic elongation factor-2 kinase (eEF2K) signaling in tumor and microenvironment as a novel molecular target.

Authors:  Didem Karakas; Bulent Ozpolat
Journal:  J Mol Med (Berl)       Date:  2020-05-07       Impact factor: 4.599

9.  A prognostic risk model for patients with triple negative breast cancer based on stromal natural killer cells, tumor-associated macrophages and growth-arrest specific protein 6.

Authors:  Wenjing Tian; Le Wang; Lili Yuan; Wenming Duan; Wenhui Zhao; Shuhuai Wang; Qingyuan Zhang
Journal:  Cancer Sci       Date:  2016-06-14       Impact factor: 6.716

10.  Prognostic values of the mRNA expression of natural killer receptor ligands and their association with clinicopathological features in breast cancer patients.

Authors:  Ali Abouelghar; Reem Hasnah; Ghina Taouk; Mohamad Saad; Manale Karam
Journal:  Oncotarget       Date:  2018-06-05
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