CXCR2 in non–small cell lung cancer (NSCLC) has been studied mainly in stromal cells and is known to increase tumor inflammation and angiogenesis. Here, we examined the prognostic importance of CXCR2 in NSCLC and the role of CXCR2 and its ligands in lung cancer cells. The effect of CXCR2 expression on tumor cells was studied using stable knockdown clones derived from a murine KRAS/p53–mutant lung adenocarcinoma cell line with high metastatic potential and an orthotopic syngeneic mouse model and in vitro using a CXCR2 small-molecule antagonist (SB225002). CXCR2 protein expression was analyzed in tumor cells from 262 NSCLC. Gene expression profiles for CXCR2 and its ligands (CXCR2 axis) were analyzed in 52 human NSCLC cell lines and 442 human lung adenocarcinomas. Methylation of CXCR2 axis promoters was determined in 70 human NSCLC cell lines. Invasion and metastasis were decreased in CXCR2 knockdown clones in vitro and in vivo. SB225002 decreased invasion in vitro. In lung adenocarcinomas, CXCR2 expression in tumor cells was associated with smoking and poor prognosis. CXCR2 axis gene expression profiles in human NSCLC cell lines and lung adenocarcinomas defined a cluster driven by CXCL5 and associated with smoking, poor prognosis, and RAS pathway activation. Expression of CXCL5 was regulated by promoter methylation. The CXCR2 axis may be an important target in smoking-related lung adenocarcinoma. Cancer Res; 73(2); 571–82. ©2012 AACR.

Adenocarcinoma represents the most common histologic subtype of lung cancer (1). The identification of EGFR mutations and ALK rearrangements has modified our approach to treating non–small cell lung cancer (NSCLC; ref. 2). However, these single oncogenic driver mutations are mostly seen in lung adenocarcinoma from never smokers (3), and little progress has been made in the treatment of smoking-related lung adenocarcinoma. KRAS- and BRAF-driving mutations are more frequently seen in smokers, but the proportion of smoking-related lung adenocarcinoma with unknown driving mutations is high (4) and the identification of potential targets in this setting urgently needed.

Chemokines are small chemotactic cytokines mediating communication between different cell types (5). CXCR2 [interleukin (IL)-8R] is a member of the G-protein–coupled receptor superfamily, and the receptor of Glu–Leu–Arg (ELR+) CXC chemokines: CXCL1, CXCL2, CXCL3, CXCL5, and CXCL7 [alias proplatelet basic protein (PPBP)] bind specifically to CXCR2; CXCL6 and CXCL8 (IL-8) are shared ligands of CXCR1 and CXCR2. CXCR2 expression has been shown in neutrophils, monocytes, eosinophils, mast cells, basophils, lymphocytes, epithelial cells, and endothelial cells (5, 6). CXCR2 inhibitors are currently under development in chronic obstructive pulmonary disease, with the rationale of inhibiting pulmonary damage by neutrophils, goblet cell hyperplasia, and angiogenesis caused by smoking (6, 7). We have previously reported that alveolar epithelial cells transformed by oncogenic KRAS express high levels of CXCR2 ligands, which recruit inflammatory and endothelial cells and promote progression of premalignant alveolar lesions to lung adenocarcinoma (8).

Neutrophils expressing CXCR2 infiltrate the tumor microenvironment. CXCR2 expression in endothelial cells is activated by ELR+ CXC chemokines that are potent proangiogenic factors and promote tumor growth (9–13). However, the role of CXCR2 in tumor cells is debated. In vitro, it has been shown to promote cell proliferation, migration, and invasion (14–17) and to assist cancer cells in evading stress-induced apoptosis (18). CXCR2 inhibitors have been reported to decrease tumor growth. However, whether this effect is mediated mainly by inhibition of angiogenesis and/or by a direct effect on tumor cells remains unclear (10, 16, 19, 20). On the other hand, it has been reported recently that depletion of CXCR2 both delays replicative senescence and impairs the senescence response to oncogenic signals, suggesting that it acts as a tumor suppressor (21).

These results may reflect multiple pro- and antitumorigenic actions depending on tumor type and stage. To clarify the role of CXCR2 in NSCLC and help characterize its role as a potential target in NSCLC, we hypothesized that CXCR2 expression by tumor cells promotes tumor invasion and metastasis in NSCLC. To test this hypothesis, we studied the functional role of CXCR2 in vitro in a model of KRAS/p53–mutant lung adenocarcinoma, in vivo in an orthotopic syngeneic mouse model (22–24), and analyzed the association of CXCR2 expression in human NSCLC cells with clinicopathologic characteristics. Furthermore, we conducted a systematic analysis of gene expression profiles of CXCR2 and its ligands (subsequently called the CXCR2 axis) in human NSCLC cell lines and lung adenocarcinoma.

Human lung tissues and tissue microarray

A detailed description of the tissue microarray construction is provided elsewhere (25). In summary, after histologic examination of NSCLC specimens, the NSCLC tissue microarrays were constructed by obtaining 3 1 mm in diameter cores from each tumor at 3 different sites (periphery, intermediate, and central tumor sites).

Immunohistochemical analysis

Mouse monoclonal anti-human CXCR2 antibody (R&D Systems) was used at a dilution of 1:200, according to the manufacturer's instruction. CXCR2 staining was examined using light microscopy by a lung cancer pathologist (Y. Ping). An independent observer (I.I. Wistuba) reviewed one third of the cores chosen randomly. In case of discordance (∼10%), both pathologists reviewed the slides jointly in a multiheaded microscope and reached consensus. Both pathologists were blinded with respect to the patients' outcome. Only cytoplasmic CXCR2 expression was quantified using a 4-value intensity score (0, 1+, 2+, and 3+) and extent of reactivity (0%–100%). Final score was then obtained by multiplying the intensity and reactivity extension values (range, 0–300).

Animal husbandry

All animal experiments were reviewed and approved by the Institutional Animal Care and Use Committee at MD Anderson Cancer Center (Houston, TX). For syngeneic tumor experiments, 10- to 16-week-old 129/Sv mice were injected with the indicated numbers of tumor cells into the left lung and euthanized at the first signs of morbidity.

Establishment of murine lung adenocarcinoma cell lines

The methods used to establish lung adenocarcinoma cell lines in culture from murine tumors have been described previously (22). Cell lines were named according to the mouse number and site of derivation (e.g., 344SQ for mouse 344, subcutaneous metastasis). These cells have alveolar type II cell properties and variable propensities to undergo the epithelial-to-mesenchymal transition (EMT) and metastasize following injection into syngeneic mice (22, 24).

RNA extraction and quantitative reverse transcription PCR

RNAs were extracted using TRIzol (Invitrogen). mRNA was reverse-transcribed using the SuperScript First-Strand Synthesis System (Invitrogen). For quantitative PCR reactions, 1:10 dilutions of cDNA products were amplified by using SYBR Green PCR Master Mix (Applied Biosystems) and analyzed by using ABI Prism 7500 Fast System (Applied Biosystems). mRNA expression values were normalized on the basis of L32 mRNA.

Generation of short hairpin RNA transfectants

The short hairpin RNA (shRNA) retroviral CXCR2 constructs were purchased (OriGene). The sequences of the CXCR2 and scrambled shRNA were as follows: CAAGGTGGATAAGTTCAACATTGAAGATT (CXCR2 clone 1), GTCTGCTATGAGGATGTAGGTAACAATAC (CXCR2 clone 3), and GCACTACCAGAGCTAACTCAGATCGTACT (scrambled shRNA). Purified plasmids (1 μg of each) were transfected into 344SQ cells by using Lipofectamine and PLUS (Invitrogen). After 48 hours, transfectants were replated in RPMI-1640 medium containing 10% FBS and 15 μg/mL puromycin for selection and passed serially for 4 weeks to generate stable transfectants.

Cell invasion assay

As described previously (22), cells (cancer-associated fibroblasts) were seeded first in the lower chambers (105 cells), and tumor cells (344SQ) were then seeded in the upper chambers (5 × 104) of 24-well Transwell invasion plates (BD Biosciences) in serum-free medium containing mitomycin C to block proliferation. Cells in the upper chambers were allowed to invade for 14 to 16 hours. Cells on the inserts were fixed with 90% ethanol, stained with 0.1% crystal violet blue, and washed with ddH2O. Noninvaded cells on the upper side of the inserts were wiped off with a cotton swab. Invaded cells were counted in 5 microscopic fields at ×4 magnification, and the counts were averaged.

A small-molecule antagonist of CXCR2 (SB225002; Calbiochem) was used to inhibit CXCR2 invasive properties of 344P cells in Boyden chamber assays and included 344SQ cells as positive controls (26, 27).

Gene expression analysis

Publicly available gene expression profiles and clinical annotations of 442 lung adenocarcinomas were downloaded from the National Cancer Institute (NCI) Director's Challenge Consortium for the Molecular Classification of Adenocarcinoma (DCC; ref. 28). CEL files of 52 NSCLC cell lines (GSE4824; refs. 29, 30), 130 lung squamous cell carcinomas with clinical annotations (GSE4573; ref. 31), and 7 NSCLC cell lines and 3 human bronchial epithelial cell lines (HBEC) before and after treatment with 5-aza-2′-deoxycytidine (decitabine; GSE5816; ref. 32) were downloaded from Gene Expression Omnibus (GEO).

The gene expression analysis was generated by using Array Studio software (Omicsoft Corporation). Raw microarray data were processed using quantile normalization and robust multiarray average algorithm. Probesets corresponding to CXCR2 axis were identified using the NetAffx Analysis Center from Affymetrix website. They were used to compute an unsupervised hierarchical clustering of the cell lines and of the lung adenocarcinomas using the Pearson correlation coefficient and Ward linkage method.

To summarize the effect of CXCR2 axis, a principal component analysis was computed with the first 2 components. In the DCC, the first principal component (PC1) was used for correlative studies with tumor differentiation, smoking status, and overall survival. In the cell lines, PC1 was correlated with the whole genome. Gene set enrichment analysis (GSEA) using the “pre-ranked” tool was done using either the genes ranked according to their correlation with PC1, or to fold-change between groups defined by the unsupervised hierarchical clustering. Probesets with an absolute Pearson correlation or a fold-change ≥0.5 were included in network analyses conducted using Ingenuity Pathway Analysis (IPA; Ingenuity Systems). Details of the GSEA and IPA are provided in Supplementary Material and Methods.

CXCL5 promoter methylation study

CXCL1, CXCL2, CXCL3, CXCL5, and CXCL6 promoter methylation status was obtained from high-throughput promoter methylation profiles of 42 NSCLC cell lines overlapping with the panel of 52 NSCLC cell lines analyzed for gene expression. CXCL7 and CXCL8 results did not pass the quality control and were not included in the analysis. DNA methylation status of a set of 27,579 CpG sites around promoters of 14,475 consensus-coding sequences was interrogated using the Illumina HumanMethylation27 Beadchip (Illumina, Inc.). Genomic DNA (1 μg) was bisulfite-converted using the EZ DNA Methylation Kit (Zymo Research Corp.). Whole-genome amplification, fragmentation, hybridization, washing, counterstaining, and scanning were conducted according to the manufacturer's instructions. The scanner data and image output files were managed with the Illumina BeadStudio software Methylation module v.3.2. The normalized data, presented as β values, represent the degree of methylation at each CpG site, 0 being unmethylated and 1 being methylated.

Statistical analysis

Wilcoxon rank sum test or Kruskal–Wallis test was used to test the differences of CXCR2 expression between/among categorical variable levels. Martingale residuals were conducted from a Cox model that included only baseline hazard function but no covariate. By applying a nonparametric smoother, the plots allow one to examine visually the nature of the relationship between the residuals and CXCR2 H-scores and to define a reasonable cutoff point to dichotomize the population. The Kaplan–Meier method was used to construct overall and recurrence-free survival curves, and the log-rank test was used to test the difference by covariate levels. Univariate and multivariate Cox models were fitted to estimate the effect of prognostic factors, including patient age, sex, tumor histology, stage, and marker on time to event endpoint. For cell line experiments, comparisons between 2 groups were conducted using the Wilcoxon rank sum test unless otherwise indicated. One-way ANOVA was conducted to compare multiple experimental groups. All statistical tests were 2-sided and p values of 0.05 or less were considered to be statistically significant.

Creation of an orthotopic syngeneic lung adenocarcinoma metastasis model

We recently described the creation of a panel of cell lines from KrasLA1/+p53R172HΔG/+ mice, which develop aggressive and metastatic lung adenocarcinoma (24). One of these cell lines, 344SQ, is highly metastatic when injected subcutaneously into syngeneic mice (22). To refine our lung adenocarcinoma metastasis model, we used 344SQ to create a novel orthotopic syngeneic model. As previously described (33), 2 × 104 344SQ cells were injected into the left lung of syngeneic mice. The mice were euthanized 21 days after injection and, at necropsy, had developed metastases to hilar and mediastinal lymph nodes (Fig. 1), chest wall, and controlateral lung as well as extrathoracic distant metastases in the paraaortic lymph nodes, liver, adrenal glands, kidneys, spleen, and diaphragm.

Figure 1.

Mediastinal lymph node metastasis from an orthotopic lung tumor. Hematoxylin and eosin–stained tissue section of a mediastinal lymph node from a mouse injected intrathoracically (left lung) with 344SQ cells (2 × 104), killed after 21 days, and subjected to necropsy (L, lymphocytes; TC, tumor cells).

Figure 1.

Mediastinal lymph node metastasis from an orthotopic lung tumor. Hematoxylin and eosin–stained tissue section of a mediastinal lymph node from a mouse injected intrathoracically (left lung) with 344SQ cells (2 × 104), killed after 21 days, and subjected to necropsy (L, lymphocytes; TC, tumor cells).

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CXCR2 knockdown decreased tumor cell invasion in vitro

To investigate the role of CXCR2 expression by tumor cells, we created CXCR2 shRNA clones from parental 344SQ lung adenocarcinoma cell lines isolated from KrasLA1/+p53R172HΔG/+ mice. CXCR2 shRNA clones exhibited significantly lower expression of CXCR2 mRNA than scrambled controls (Fig. 2A). To test the invasion potential of the shRNA clones, we used cocultures with cancer-associated fibroblasts, which produce high levels of CXCR2 ligands, as previously described (34). To block tumor cell proliferation, we added mitomycin C to the serum-free medium in which the tumor cells were cultured (344SQ). CXCR2 shRNA clones showed a significantly lower invasion potential than scrambled controls (Fig. 2B).

Figure 2.

Effect of CXCR2 downregulation and inhibition. In vitro (A and B) properties of shRNA clones (clone-1 and -3) compared with scrambled control: mRNA expression by reverse transcription PCR relative to standard (A); invasion assay using cocultures with cancer-associated fibroblasts (CAF) and mitomycin C to block tumor cell proliferation (B). In vitro CXCR2 inhibition with CXCR2-antagonist (C and D): invasion assay using cocultures of 344P (C) and 344SQ (D) cell lines treated with increasing concentrations of SB225002. In vivo properties of shRNA clones (clone-1 and -3) compared with scrambled control (E and F): number of left lung tumor nodules (E), number of distant metastases (F). Median and interquartile range are shown in the dot plots (E and F). Wilcoxon rank sum test (A, B, E, and F) between scrambled control and shRNA single clones (clone-1 and -3) or between different concentrations of SB225002 and the control (C and D). NS, not significant.

Figure 2.

Effect of CXCR2 downregulation and inhibition. In vitro (A and B) properties of shRNA clones (clone-1 and -3) compared with scrambled control: mRNA expression by reverse transcription PCR relative to standard (A); invasion assay using cocultures with cancer-associated fibroblasts (CAF) and mitomycin C to block tumor cell proliferation (B). In vitro CXCR2 inhibition with CXCR2-antagonist (C and D): invasion assay using cocultures of 344P (C) and 344SQ (D) cell lines treated with increasing concentrations of SB225002. In vivo properties of shRNA clones (clone-1 and -3) compared with scrambled control (E and F): number of left lung tumor nodules (E), number of distant metastases (F). Median and interquartile range are shown in the dot plots (E and F). Wilcoxon rank sum test (A, B, E, and F) between scrambled control and shRNA single clones (clone-1 and -3) or between different concentrations of SB225002 and the control (C and D). NS, not significant.

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CXCR2 pharmacologic inhibition decreased tumor cell invasion in vitro

To confirm our findings in the 344SQ cells, we carried out experiments by using 344P, a second highly invasive and metastatic lung adenocarcinoma cell line derived from KrasLA1/+p53R172HΔG/+mice. To inhibit CXCR2 using a different approach, we used a small-molecule antagonist of CXCR2, SB225002 that has showed selectivity and potency in vitro and in vivo (26, 27). We examined the effect of SB225002 on 344P cell invasive properties in Boyden chamber assay and included 344SQ cells as a positive control. Treatment with SB225002 inhibited tumor cell invasive properties with an IC50 of 3 to 4 μmol/L for both 344P cells and 344SQ cells (Fig. 2C and D).

CXCR2 knockdown in tumor cells decreased 344SQ metastatic potential

We used the orthotopic murine model already described to test whether the metastatic potential of 344SQ would be affected by CXCR2 knockdown. Two shRNA clones (clone-1 and -3) and scrambled controls were compared by injecting 2 × 104 cells into the left lung of mice (N = 10 in each group, for a total of 30 mice). Mice were euthanized at 21 days after injection because 2 of 10 mice in the scrambled control group showed poor physical conditions due to tumor burden. At necropsy, mice bearing CXCR2-shRNA lung adenocarcinoma had significantly fewer lung tumor nodules in the lung of primary injection (Fig. 2E) and fewer distant metastases (Fig. 2F) than scrambled controls. Sites of distant metastases included liver, adrenal glands, ipsilateral and controlateral lung, diaphragm, spleen, and paraortic lymph nodes.

CXCR2 protein expression in human NSCLC tumor cells is associated with adverse outcome and tobacco smoking

To investigate the role of CXCR2 in human tumor cells, we stained a tissue microarray that included 370 resected NSCLC. For the purpose of this study, we considered only 262 patients with stage I and II disease who did not receive preoperative chemotherapy. Clinical and pathologic characteristics of the patient population are described in Table 1. Median age was 67.4 years (range, 32.2–90.0). Adenocarcinoma was the most frequent histologic subtype (N = 173, 66%). With a median follow-up of 5.3 years, 133 patients had developed recurrence (50.8%) and 101 had died (38.5%). CXCR2 was expressed mainly in the cytoplasm (mean, 31.07 ± 30.78; median, 20; range, 0–130). Distribution of cytoplasmic CXCR2 protein expression in the whole population is shown in Supplementary Fig. S1A. Figure 3 shows 1 adenocarcinoma and 1 squamous cell carcinoma expressing CXCR2 with an intensity of 1 in 100% of tumor cells, and an H-score of 100. CXCR2 expression was low in the nucleus (mean, 16.15 ± 24.88; median, 3.33; range, 0–120). Cytoplasmic and nuclear CXCR2 expression levels were not correlated (rho = −0.02; P = 0.76). No association was observed between cytoplasmic CXCR2 and patient sex, race, tumor histology, stage, or degree of inflammation. Cytoplasmic CXCR2 expression was higher in current smokers (32.57 ± 28.28) and former smokers (31.19 ± 33.15) than in never smokers (25.28 ± 29.00), although it did not reach statistical significance. Similarly, poorly differentiated tumors had higher cytoplasmic CXCR2 levels (39.84 ± 32.20) than moderately (29.99 ± 30.18) or well-differentiated (16.46 ± 23.98) tumors (P < 0.0001). The Martingale residual plots showed that median CXCR2 H-score was a reasonable cutoff point (Supplementary Fig. S1B). When cytoplasmic CXCR2 level was dichotomized using the median expression of 20, 141 (53.8%) tumors expressed low CXCR2 levels (≤20) and 121 (46.2%) tumors expressed high CXCR2 levels (>20). EGFR and KRAS mutational status was available for 157 of the lung adenocarcinomas; Supplementary Fig. S2 shows that cytoplasmic CXCR2 protein expression was lower, although not reaching statistical significance, in EGFR-mutant lung adenocarcinomas (N = 17; mean, 24.71 ± 29.49; median, 13.33; range, 0–90), which are known to be more frequent among never smokers, than in KRAS-mutant (N = 41; mean, 31.02 ± 31.65; median, 20; range, 0–110) or wild-type EGFR and wild-type KRAS lung adenocarcinomas (N = 99; mean, 33.05 ± 33.61; median, 20; range, 0–130), which are more frequent among smokers.

Figure 3.

Expression of CXCR2 and its ligands in tumor cells and tissues. CXCR2 axis and CXCL5 expression are associated with poor outcome. Immunohistochemical expression of CXCR2 in 2 NSCLC tissue specimens, squamous cell carcinoma (A) and adenocarcinoma (B). Kaplan–Meier curves for overall survival (OS; C) and recurrence-free survival (RFS; D) as a function of cytoplasmic CXCR2 expression in 173 patients who underwent resection for lung adenocarcinoma. E, PC1 was computed with expression of the CXCR2 genes and its ligand genes (CXCL6, IL-8, CXCL2, CXCL1, CXCL3, CXCL7, and CXCL5); Kaplan–Meier curves for overall survival among patients with high versus low PC1 based on the median. F, Kaplan–Meier curves for overall survival for patients with high (highest quartile) versus low (lowest quartile) CXCL5 gene expression.

Figure 3.

Expression of CXCR2 and its ligands in tumor cells and tissues. CXCR2 axis and CXCL5 expression are associated with poor outcome. Immunohistochemical expression of CXCR2 in 2 NSCLC tissue specimens, squamous cell carcinoma (A) and adenocarcinoma (B). Kaplan–Meier curves for overall survival (OS; C) and recurrence-free survival (RFS; D) as a function of cytoplasmic CXCR2 expression in 173 patients who underwent resection for lung adenocarcinoma. E, PC1 was computed with expression of the CXCR2 genes and its ligand genes (CXCL6, IL-8, CXCL2, CXCL1, CXCL3, CXCL7, and CXCL5); Kaplan–Meier curves for overall survival among patients with high versus low PC1 based on the median. F, Kaplan–Meier curves for overall survival for patients with high (highest quartile) versus low (lowest quartile) CXCL5 gene expression.

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Table 1.

Clinical and pathologic characteristics of patients included in the tissue microarray (N = 262)

CovariateN (%)
Sex 
 F 134 (51.1%) 
 M 128 (48.9%) 
Race 
 Other 22 (8.4%) 
 White 240 (91.6%) 
Smoking status 
 Current 105 (40.1%) 
 Former 127 (48.5%) 
 Never 30 (11.5%) 
Pathologic stage 
 I 201 (76.7%) 
 II 61 (23.3%) 
Histology 
 Adenocarcinoma 173 (66%) 
 Squamous cell carcinoma 89 (34%) 
Degree of differentiation 
 Poor 74 (28.2%) 
 Moderate 155 (59.2%) 
 Well 33 (12.6%) 
Degree of inflammation 
 Mild 106 (41.1%) 
 Moderate 106 (41.1%) 
 Severe 46 (17.8%) 
 Unknown 
Adjuvant therapy 
 No 180 (71.4%) 
 Yes 72 (28.6%) 
 Unknown 10 
CovariateN (%)
Sex 
 F 134 (51.1%) 
 M 128 (48.9%) 
Race 
 Other 22 (8.4%) 
 White 240 (91.6%) 
Smoking status 
 Current 105 (40.1%) 
 Former 127 (48.5%) 
 Never 30 (11.5%) 
Pathologic stage 
 I 201 (76.7%) 
 II 61 (23.3%) 
Histology 
 Adenocarcinoma 173 (66%) 
 Squamous cell carcinoma 89 (34%) 
Degree of differentiation 
 Poor 74 (28.2%) 
 Moderate 155 (59.2%) 
 Well 33 (12.6%) 
Degree of inflammation 
 Mild 106 (41.1%) 
 Moderate 106 (41.1%) 
 Severe 46 (17.8%) 
 Unknown 
Adjuvant therapy 
 No 180 (71.4%) 
 Yes 72 (28.6%) 
 Unknown 10 

Using Kaplan–Meier curves, high CXCR2 expression was associated with poor overall survival and recurrence-free survival in patients with lung adenocarcinoma, although not reaching statistical significance (Fig. 3C and D). No such association was observed in patients with squamous cell carcinoma (Supplementary Fig. S3A and S3B). Univariate Cox proportional hazards model assessed the effect of covariates on survival. High CXCR2 expression was associated with worse overall survival in both subtypes (HR = 1.488; 95% confidence interval (95% CI), 0.905–2.448; HR = 1.520; 95% CI, 0.798–2.894; Supplementary Tables S1A and S2A), although not reaching statistical significance. For recurrence-free survival, a similar trend was observed in adenocarcinoma (HR = 1.284; 95% CI, 0.830–1.985), but not in squamous cell carcinoma (HR = 1.028; 95% CI 0.593–1.782; Supplementary Tables S1B and S2B). Final multicovariate Cox models are presented in Table 2. Combining all patients together, after adjusting for patients' age, sex, and tumor stage, high cytoplasmic CXCR2 expression remained associated with poor overall survival (HR = 1.559; 95% CI, 1.051–2.312; P = 0.0273; Table 2A).

Table 2.

Final multicovariate Cox models assessing the effect of covariates on overall survival in the whole population (N = 262), in patients with lung adenocarcinoma (N = 173), and in patients with lung squamous cell carcinoma (N = 89)

Analysis of maximum likelihood estimates
ParameterParameter estimateSEP valueHR (95% CI)
Non-small cell lung cancer 
 Age 0.02214 0.01048 0.0346 1.022 (1.002–1.044) 
 Gender (M vs. F) 0.38869 0.20544 0.0585 1.475 (0.986–2.206) 
 Stage (II vs. I) 0.49491 0.22793 0.0299 1.640 (1.049–2.564) 
 CXCR2 (>20 vs. ≤20) 0.44397 0.20116 0.0273 1.559 (1.051–2.312) 
Adenocarcinoma 
 Age 0.02064 0.01273 0.1049 1.021 (0.996–1.047) 
 Gender (M vs. F) 0.62208 0.25904 0.0163 1.863 (1.121–3.095) 
 Stage (II vs. I) 0.72598 0.28779 0.0116 2.067 (1.176–3.633) 
 CXCR2 (>20 vs. ≤20) 0.34171 0.25741 0.1843 1.407 (0.850–2.331) 
Squamous cell carcinoma 
 Age 0.02065 0.01939 0.2869 1.021 (0.983–1.060) 
 Gender (M vs. F) 0.05144 0.35478 0.8847 1.053 (0.525–2.110) 
 Stage (II vs. I) 0.20288 0.39319 0.6059 1.225 (0.567–2.647) 
 CXCR2 (>20 vs. ≤20) 0.46527 0.33894 0.1698 1.592 (0.820–3.094) 
Analysis of maximum likelihood estimates
ParameterParameter estimateSEP valueHR (95% CI)
Non-small cell lung cancer 
 Age 0.02214 0.01048 0.0346 1.022 (1.002–1.044) 
 Gender (M vs. F) 0.38869 0.20544 0.0585 1.475 (0.986–2.206) 
 Stage (II vs. I) 0.49491 0.22793 0.0299 1.640 (1.049–2.564) 
 CXCR2 (>20 vs. ≤20) 0.44397 0.20116 0.0273 1.559 (1.051–2.312) 
Adenocarcinoma 
 Age 0.02064 0.01273 0.1049 1.021 (0.996–1.047) 
 Gender (M vs. F) 0.62208 0.25904 0.0163 1.863 (1.121–3.095) 
 Stage (II vs. I) 0.72598 0.28779 0.0116 2.067 (1.176–3.633) 
 CXCR2 (>20 vs. ≤20) 0.34171 0.25741 0.1843 1.407 (0.850–2.331) 
Squamous cell carcinoma 
 Age 0.02065 0.01939 0.2869 1.021 (0.983–1.060) 
 Gender (M vs. F) 0.05144 0.35478 0.8847 1.053 (0.525–2.110) 
 Stage (II vs. I) 0.20288 0.39319 0.6059 1.225 (0.567–2.647) 
 CXCR2 (>20 vs. ≤20) 0.46527 0.33894 0.1698 1.592 (0.820–3.094) 

Abbreviations: M, male; F, female.

Gene expression pattern of CXCR2 axis is associated with human smoking-related adenocarcinoma and adverse clinical features

High-throughput gene expression profiles offer the opportunity to study CXCR2 as well the genes that encode for its known ligands. We took advantage of publicly available profiles of 52 NSCLC cell lines and 442 early stage resected lung adenocarcinoma. Gene expression patterns of CXCR2 ligands in NSCLC cell lines and lung adenocarcinoma were comparable (Supplementary Fig. S4). Unsupervised hierarchical clustering using the CXCR2 axis identified a cluster of cell lines with high expression of CXCR2 ligand genes, which we called the CXCR2/CXCR2 ligands cluster, that included 9 (17%) of the cell lines analyzed (Fig. 4A). This group was enriched in KRAS mutations (Fisher exact test, P = 0.0548). HCC827, an EGFR-mutant cell line with an exon 19 deletion, was also part of this group. In lung adenocarcinomas, a similar cluster of 115 (26%) tumors was identified (Fig. 4B). EGFR mutation status was available for 170 adenocarcinomas. None of the 30 tumors included in the CXCR2/CXCR2 ligands cluster harbored EGFR mutations, whereas 24 of the remaining 140 adenocarcinomas did harbor an EGFR mutation (Fisher exact test, P = 0.0295). A similar CXCR2/CXCR2 ligands cluster was observed in each of the 4 individual cohorts forming the DCC (data not shown). A trend toward a worse prognosis in the high CXCR2/CXCR2 ligands cluster was observed (Supplementary Fig. S5A). Using a similar approach in 130 patients resected for squamous cell carcinoma and included in the GEO series GSE4573 (31), we did not see any association between high CXCR2/CXCR2 ligands cluster and poor outcome (Supplementary Fig. S5B and S5C).

Figure 4.

Identification of a CXCR2/CXCR2 ligands cluster. Unsupervised clustering using gene expression of CXCR2 and its ligands (CXCL6, IL-8, CXCL2, CXCL1, CXCL3, PPBP [CXCL7], and CXCL5) in 52 NSCLC cell lines (A) and 442 lung adenocarcinomas (B). For GSEA, genes were preranked according to the fold-change observed between samples with the CXCR2/CXCR2 ligands cluster and the remaining samples in both lung adenocarcinomas (C and D) and cell lines (E and F); representative gene sets enriched with a P value and a false discovery rate less than 0.0001 are shown for lung adenocarcinomas (C and D) and NSCLC cell lines (E and F).

Figure 4.

Identification of a CXCR2/CXCR2 ligands cluster. Unsupervised clustering using gene expression of CXCR2 and its ligands (CXCL6, IL-8, CXCL2, CXCL1, CXCL3, PPBP [CXCL7], and CXCL5) in 52 NSCLC cell lines (A) and 442 lung adenocarcinomas (B). For GSEA, genes were preranked according to the fold-change observed between samples with the CXCR2/CXCR2 ligands cluster and the remaining samples in both lung adenocarcinomas (C and D) and cell lines (E and F); representative gene sets enriched with a P value and a false discovery rate less than 0.0001 are shown for lung adenocarcinomas (C and D) and NSCLC cell lines (E and F).

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In both cell lines and lung adenocarcinoma, we compared the genes differentially expressed between the CXCXR2/CXCR2 ligands cluster and the remaining samples across the whole genome. Probesets with an absolute fold-change ≥0.5 and a p ≤ 0.05 in both cell lines and lung adenocarcinoma are provided in Supplementary Results. In both cases, CXCL5 gene was the most frequently upregulated in the CXCR2/CXCR2 ligands cluster. Members of the aldo/keto reductase superfamily (AKR1B10, AKR1C2, AKR1C3, etc.), associated with tobacco exposure, were also upregulated.

In cell lines, TGFB1, vimentin (VIM), and osteopontin (SPP1) were upregulated in the CXCR2/CXCR2 ligands cluster, whereas desmoplakin (DSP) and hepatocyte growth factor (HGF) activator inhibitor 1 (SPINT1) were downregulated. These changes may be associated with the EMT and promote invasion and metastasis.

In lung adenocarcinomas, genes encoding the matrix metalloproteinases were upregulated in the CXCR2/CXCR2 ligands cluster, as was the dual-specificity phosphatase 4 (DUSP4) gene, which is known to be downregulated in EGFR-mutant NSCLC. Consistent with the association between poor differentiation and CXCR2 protein expression observed in the tissue microarray, another striking change was the downregulation of differentiation-associated genes, including thyroid transcription factor 1 (NKX2–1; Supplementary Fig. S6A) and surfactant proteins B (SFTPB), C (SFTPC), and D (SFTPD), in the CXCR2/CXCR2 ligands cluster. Interestingly, ribonucleotide reductase M2 (RRM2) was upregulated in the CXCR2/CXCR2 ligands cluster, whereas folic acid receptor 1 (FOLR1) was downregulated. RRM2 and FOLR1 have been reported to modulate response to gemcitabine and pemetrexed, respectively, in NSCLC. Similar trends were observed in cell lines for FOLR1 and NKX2-1 downregulation (Supplementary Results and Supplementary Fig. S6B).

The most significant network associated with differential gene expression, with an absolute fold-change ≥0.5 between the CXCR2/CXCR2 ligands cluster and the remaining samples, was related to NF-κB in both the cell lines and lung adenocarcinoma (data not shown). Using as input the fold-change in gene expression between the CXCR2/CXCR2 ligands cluster and the remaining lung adenocarcinomas, GSEA showed enrichment of genes associated with poor survival (Fig. 4C; ref. 28). We also found enrichment in gene sets associated with poor differentiation and proliferation (data not shown), as well as met proto-oncogene (hepatocyte growth factor receptor; MET) transcriptionally coregulated genes (Fig. 4D). Using as input the fold-change in gene expression between the CXCR2/CXCR2 ligands cluster and the remaining cell lines, GSEA showed a significant upregulation of gene sets related to the RAS pathway (Fig. 4E) and resistance to gefitinib (Fig. 4F), and enrichment of target genes of hsa-miR-let7, a known regulator of KRAS expression, and of genes associated with the EMT was observed (data not shown).

As an alternative approach to studying the effect of the CXCR2/CXCR2 ligands axis, we summarized the effect of this axis by computing a principal components analysis (Supplementary Figs. S7A and S8A). The distribution of PC1 in cell lines was bimodal, a group of 12 cell lines having a high PC1 (≥1.5) and the remaining cell lines having a low PC1 (Supplementary Fig. S7B). Interestingly, cell line H1395, which has been reported to harbor an inactivating CXCR2 G354W mutation, had a low PC1 (Supplementary Fig. S7B). Cell lines included in the CXCR2/CXCR2 ligands cluster or with a high PC1 had low levels of NKX2-1 gene expression, except HCC827 (Supplementary Fig. S7C).

In lung adenocarcinomas, a similar bimodal distribution of PC1 was observed (Supplementary Fig. S8A). Consistently with our immunohistochemical results, PC1 was statistically significantly higher in poorly differentiated adenocarcinomas than in moderately (P = 0.0065) and well-differentiated tumors (P = 0.0006; Supplementary Fig. S8B), and higher in current smokers than in former (P = 0.0010) and never smokers (P = 0.0085; Supplementary Fig. S8C). When PC1 was dichotomized on the basis of the median, tumors with low PC1 were linked with longer overall survival (Fig. 3E); low PC1 was associated with HR of 0.6907 (95% CI, 0.5302–0.9000; p = 0.0061). After adjusting for patient age, sex, tumor stage, and institution, low PC1 remained associated with longer overall survival (HR of 0.6827; 95% CI, 0.5046–0.8701; P = 0.0031).

CXCL5 is the main driver of the CXCR2/CXCR2 ligands cluster in adenocarcinomas and is regulated through promoter methylation

CXCL5 was the gene most upregulated in the CXCR2/CXCR2 ligands cluster in comparison with other samples across the whole genome, in both the cell lines and lung adenocarcinomas (Supplementary Results). CXCL5 upregulation was associated with poor overall survival (Fig. 3F). Its distribution was bimodal in both cell lines and lung adenocarcinomas (Fig. 5A and B). This led us to hypothesize that promoter methylation might regulate its expression. CXCL5 gene expression was inversely correlated with the average β value, which measures the degree of methylation of the promoter (Fig. 5C). Data generated in an independent study with publicly available raw data (32) confirmed high levels of expression of CXCL5 in cell lines included in the CXCR2/CXCR2 ligands axis, and low levels in other cell lines, including immortalized HBEC lines (Fig. 5D). Moreover, CXCL5 expression was induced by decitabine in most of the cell lines with low CXCL5 expression that were shown to be methylated, as well as in HBEC cells. Expression of CXCL1 (r = −0.46; P = 0.0021), CXCL2 (r = −0.49; P = 0.0010), CXCL3 (r = −0.32; P = 0.0390), and CXCL6 (r = −0.46; P = 0.0022) genes was significantly inversely correlated with the average β value of their respective promoter, suggesting regulation through promoter methylation (Supplementary Fig. S9A–S9D). However, only CXCL1 and CXCL3 had patterns similar to CXCL5 in terms of response to decitabine (Supplementary Fig. S10A–S10D).

Figure 5.

CXCL5 drives the CXCR2/CXCR2 ligands cluster and is regulated through promoter methylation. CXCL5 is the gene most frequently upregulated across the whole genome in samples with the CXCR2/CXCR2 ligands cluster compared with other samples, both in vitro (A) and in vivo (B). C and D, CXCL5 gene expression was inversely correlated with the average β value (C) and was increased after treatment with decitabine in most of the cell lines with low baseline CXCL5 expression (D).

Figure 5.

CXCL5 drives the CXCR2/CXCR2 ligands cluster and is regulated through promoter methylation. CXCL5 is the gene most frequently upregulated across the whole genome in samples with the CXCR2/CXCR2 ligands cluster compared with other samples, both in vitro (A) and in vivo (B). C and D, CXCL5 gene expression was inversely correlated with the average β value (C) and was increased after treatment with decitabine in most of the cell lines with low baseline CXCL5 expression (D).

Close modal

We show here that high level of cytoplasmic CXCR2 expression in tumor cells is associated with poor outcome, smoking, and poor tumor differentiation in patients with surgically resected stage I and II lung adenocarcinoma. Taking an alternative approach, we used publicly available gene expression profiles of a large set of NSCLC cell lines and lung adenocarcinomas to study the CXCR2 axis. We identified a cluster of cell lines and lung adenocarcinomas, we call the CXCR2/CXCR2 ligands cluster, characterized by poor outcome, smoking, poor tumor differentiation, activation of RAS and MET pathways, EMT, and resistance to gefitinib. This cluster was driven mainly by CXCR2 ligand CXCL5, which was shown to be regulated through promoter methylation. We show that knocking down CXCR2 in a cell line expressing high levels of CXCR2 (344SQ) decreased its invasion potential in vitro, as well as tumor burden and metastatic potential in vivo in a novel orthotopic syngeneic lung adenocarcinoma metastasis model.

The role of CXCR2 in tumor cell proliferation has been reported in various tumor types: melanoma (20, 35), ovarian (36), prostate (37), and esophageal cancers (38). The promotion of cell proliferation by CXCR2 has been shown to involve an EGF receptor (EGFR) transactivation (17, 39) and increases in ERK1/2 (17, 38). Several studies have also reported that targeting CXCR2 inhibits tumor growth. Whether this effect is mediated mainly by inhibition of angiogenesis and/or by a direct effect on tumor cells remains unclear. Keane and colleagues studied the effect of CXCR2 using syngeneic murine Lewis lung cancer heterotopic and orthotopic tumor model systems in immunocompetent mice replete (CXCR2+/+) or deficient in CXCR2 (CXCR2−/−; ref. 10). They reported a reduction in the tumor growth and metastatic potential of Lewis lung tumors in CXCR2−/− mice through a decrease of tumor angiogenesis. Using this model, the authors could appreciate the role of CXCR2 in host stromal cells.

To determine the direct effect of CXCR2 on the tumor development, we used an orthotopic syngeneic lung cancer metastasis model using a highly metastatic cell line (344SQ) derived from KrasLA1/+p53R172HΔG/+ mice, which develop advanced adenocarcinomas that closely resemble the human disease (40). Knocking down CXCR2 in shRNA stable clones created from 344SQ cell lines resulted in dramatic decreases of tumor burden, lymphatic and distant metastasis. This effect is unlikely to be related to a decrease in tumor angiogenesis, even though it has been reported that CXCR2 knockdown in ovarian cancer cell lines injected subcutaneously can reduce tumor angiogenesis by suppressing TSP-1 and activating VEGF (36). We cannot completely exclude the possibility that CXCR2 knockdown in the 344SQ cell line is associated with some degree of antiangiogenic effect.

We show in 2 large cohorts that both cytoplasmic CXCR2 (protein level) expression and the CXCR2/CXCR2 ligands cluster (mRNA level) are associated with poor outcome. CXCR2 knockdown consistently decreased cell invasion in vitro as well as tumor burden and metastasis in vivo. Furthermore, a possible link between the CXCR2 pathway and the EMT has been suggested by others; Snail has been shown to promote CXCR2 ligand-dependent tumor progression in NSCLC (16, 41). Our GSEA analysis shows that the c-MET oncogenic pathway is enriched in the CXCR2/CXCR2 ligands cluster, consistent with our observation of downregulation of SPINT1, a potent inhibitor specific for HGF activator, and upregulation of TGFB1 and VIM in the CXCR2/CXCR2 ligands cluster (42).

These findings contrast with those of Ohri and colleagues, who studied the expression of CXCR2 in a small cohort of 20 NSCLC and reported its association with better outcome (43). This is in line with a report showing that depletion of CXCR2 delays both replicative senescence and impairs senescence response to oncogenic signals, suggesting that CXCR2 acts as a tumor suppressor gene (21).

CXCR2 protein expression and the CXCR2/CXCR2 ligands cluster were associated with poorly differentiated tumors. Interestingly, NKX2-1 (TTF-1) was one of the genes most frequently downregulated in the cluster compared with other lung adenocarcinomas. NKX2-1 is a lineage-specific transcription factor. Its protein expression has been associated with a favorable prognosis. Approximately 30% of lung adenocarcinomas are negative for NKX2-1 (44). We envision that the absence of NKX2-1 protein expression might be a useful tool in identifying lung adenocarcinomas with activation of the CXCR2 biologic axis. This would have the advantage of simplicity, as NKX2-1 immunostaining is routine.

The CXCR2/CXCR2 ligands cluster was driven mainly by CXCL5. The role of CXCL5 in tumor progression is debated: it acts as a tumor suppressor in colon cancer (45) but has an oncogenic role in head and neck squamous cell carcinoma (46). A recent study reported methylation leading to silencing of CXCL5 in more than 75% of primary lung adenocarcinomas, but the authors did not report the effect of CXCL5 expression on prognosis (47). We found a similar percentage (75%–80%) of NSCLC cell lines and lung adenocarcinomas expressing low levels of CXCL5 and show that this expression was regulated by promoter methylation. On the basis of the association of CXCL5 with poor prognosis and its low expression in HBEC cell lines, we hypothesize that CXCL5 might promote tumorigenesis in 20% of lung adenocarcinomas through CXCR2 autocrine and paracrine loop.

CXCR2 protein expression in NSCLC seems to be more associated with KRAS mutation than EGFR mutation. In the DCC dataset, none of the lung adenocarcinomas included in the CXCR2/CXCR2 ligands cluster had mutant EGFR. Cell lines included in this cluster were enriched in KRAS mutation. Consistently, the CXCR2/CXCR2 ligands cluster was enriched in gene sets related to the RAS pathway and resistance to gefitinib. The Let-7 family has been reported to regulate KRAS in lung cancer (48). Interestingly, genes downregulated by miR-let-7a-3 in the cell line A549, which harbors a KRAS mutation, were significantly enriched in the CXCR2/CXCR2 ligands cluster in vitro (49). These observations, together with the dramatic effect of CXCR2 knockdown in our orthotopic syngeneic lung adenocarcinoma metastasis model, which harbors a KRAS mutation, allow us to hypothesize that CXCR2 is an important target in KRAS-driven lung adenocarcinoma.

We previously showed that inflammatory cytokine IL-1β dramatically induced overexpression of several CXCR2 chemokine ligands (15). We also reported that alveolar epithelial cells transformed by oncogenic KRAS have high expression of CXCR2 ligands, which recruit inflammatory and endothelial cells and promote the progression of premalignant alveolar lesions to lung adenocarcinoma (8). CXCR2 is involved in the development of chronic obstructive pulmonary disease, and CXCR2 inhibitors are currently being developed in this setting (7, 50). These observations suggest that CXCR2 inhibition might also be an interesting strategy for preventing lung cancer development in the high-risk smoking population by inhibiting early transformation of bronchial epithelial cells.

In conclusion, CXCR2 was shown to promote tumor cell invasion in vitro and tumor growth and metastasis in an orthotopic syngeneic lung adenocarcinoma metastasis model harboring KRAS and TP53 mutations. The CXCR2 axis identifies a cluster of human NSCLC cell lines and lung adenocarcinomas, mostly driven by CXCL5 and associated with poor prognosis, poor tumor differentiation, and smoking. CXCL5 is shown to be regulated through promoter methylation. Together, these results suggest the CXCR2CXCL5 axis as a potential target in smoking-related lung adenocarcinomas.

J.V. Heymach is a consultant/advisory board member of Aushon. No potential conflicts of interest were disclosed by the other authors.

Conception and design: P. Saintigny, E. Massarelli, M.S. O'Reilly, R.S. Herbst, W.K. Hong, J.S. Koo

Development of methodology: P. Saintigny, E. Massarelli, Y.-H. Ahn, B. Erez, I.I. Wistuba, W.K. Hong, J.S. Koo

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): P. Saintigny, E. Massarelli, Y. Chen, S. Goswami, Y. Ping, C. Behrens, J.V. Heymach, I.I. Wistuba, J.M. Kurie, J.S. Koo

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): P. Saintigny, E. Massarelli, S. Lin, Y. Chen, S. Goswami, D. Liu, J.J. Lee, L. Zhang, L.M. Solis Soto, J.V. Heymach, E.S. Kim, J.M. Kurie, J.S. Koo

Writing, review, and/or revision of the manuscript: P. Saintigny, E. Massarelli, M.S. O'Reilly, J.J. Lee, J.V. Heymach, E.S. Kim, R.S. Herbst, S.M. Lippman, I.I. Wistuba, W.K. Hong, J.M. Kurie, J.S. Koo

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): P. Saintigny, S. Lin, S.M. Lippman, J.S. Koo

Study supervision: J.S. Koo

This study was supported by NCI grant R01-CA126801 (J.S. Koo), Department of Defense VITAL grant W81XW-04-1-0142 (J.S. Koo, I.I. Wistuba, and W.K. Hong), Department of Defense IMPACT grant (J.S. Koo, I.I. Wistuba, and W.K. Hong), ASCO Conquer Cancer Foundation 2011 Young Investigator Award (E. Massarelli), LUNG SPORE—P50 CA 70907 (J.M. Kurie and I.I. Wistuba), and NCI Cancer Center Support grant CA-16672 (The University of Texas MD Anderson Cancer Center) and CA-16359 (Yale Cancer Center).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

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Supplementary data