Abstract
Several epidemiologic studies have found that smokers with chronic obstructive pulmonary disease (COPD), an inflammatory disease of the lung, have an increased risk of lung cancer compared with smokers without COPD. We have shown a causal role for COPD-like airway inflammation in lung cancer promotion in the CCSPCre/LSL-K-rasG12D mouse model (CC-LR). In contrast, existing epidemiologic data do not suggest any definite association between allergic airway inflammation and lung cancer. To test this, CC-LR mice were sensitized to ovalbumin (OVA) and then challenged with an OVA aerosol weekly for 8 weeks. This resulted in eosinophilic lung inflammation associated with increased levels of T helper 2 cytokines and mucous metaplasia of airway epithelium, similar to what is seen in asthmatic patients. However, this type of inflammation did not result in a significant difference in lung surface tumor number (49 ± 9 in OVA vs. 52 ± 5 in control) in contrast to a 3.2-fold increase with COPD-like inflammation. Gene expression analysis of nontypeable Haemophilus influenzae (NTHi)-treated lungs showed upregulation of a different profile of inflammatory genes, including interleukin 6 (IL-6), compared with OVA-treated lungs. Therefore, to determine the causal role of cytokines that mediate COPD-like inflammation in lung carcinogenesis, we genetically ablated IL-6 in CC-LR mice. This not only inhibited intrinsic lung cancer development (1.7-fold) but also inhibited the promoting effect of extrinsic COPD-like airway inflammation (2.6-fold). We conclude that there is a clear specificity for the nature of inflammation in lung cancer promotion, and IL-6 has an essential role in lung cancer promotion. Cancer Prev Res; 4(1); 51–64. ©2010 AACR.
Introduction
Worldwide, lung cancer is the leading cause of cancer mortality and is expected to account for 30% of all male and 26% of all female cancer deaths in 2009 (1). Cigarette smoking is the principal cause of lung carcinogenesis and is thought to do so primarily by inducing DNA mutations (2). However, several studies have found that smokers with chronic obstructive pulmonary disease (COPD), an inflammatory disease of the airways and alveoli, have an increased risk of lung cancer (1.3- to 4.9-fold) compared with smokers with comparable cigarette exposure but without COPD (3–5). It has also been shown that increased lung cancer mortality is associated with a history of COPD, even among persons who had never been active smokers (6). These facts suggest a link between airway inflammation and lung cancer.
We have previously established a COPD-like mouse model of airway inflammation induced by repetitive exposure to an aerosolized lysate of nontypeable Haemophilus influenzae (NTHi; ref. 7), which is the most common bacterial colonizer of airways in COPD patients (8, 9). We have shown that this type of inflammation enhances lung carcinogenesis in a K-ras–induced mouse model (10). The predominant inflammatory cell types in subjects with COPD are neutrophils, macrophages, CD8+ T lymphocytes, and T helper (Th) 1 and Th17 CD4+ lymphocytes (11, 12). The most prominent cytokines are TNF, interleukin (IL)-6, IFN-γ, and IL-8 (11, 12), and this profile of inflammatory cells and cytokines is recapitulated in our mouse model of COPD-like airway inflammation (7). This is in contrast to asthma, in which the predominant inflammatory cell types are eosinophils, mast cells, and Th2-type CD4+ lymphocytes, and the key cytokines are the Th2 cytokines IL-4, IL-5, IL-9, and IL-13, in both animal models and patients (13–16). Of interest, existing epidemiologic data do not suggest an association between allergic inflammation of the airways and lung cancer, and some even suggest a protective role (17–21). In this study, we tested the role of allergic airway inflammation in lung carcinogenesis in mice and found that it neither promotes nor protects against lung cancer in a K-ras mutant mouse model (CC-LR mouse).
IL-6 is the most highly elevated cytokine in our mouse model of COPD-like inflammation (7) and has been implicated in inflammatory responses in human COPD (11, 12). The overexpression of IL-6 in the airways in murine models results in emphysema-like airspace enlargement and airway inflammation (22). IL-6 is also involved in human cancers (23) and is a critical tumor promoter in animal models (24–28). Therefore, to dissect the mechanism of lung cancer promotion by COPD-like inflammation, we tested the role of IL-6 and showed an essential role for this inflammatory cytokine.
Materials and Methods
Animals
Specific pathogen-free, 5- to 6-week-old wild-type (WT) female C57BL/6 mice were purchased from Harlan. CCSPCre/LSL-K-rasG12D mice (CC-LR) were generated as previously described (10). Briefly, this is a mouse generated by crossing a mouse harboring the LSL–K-rasG12D allele with a mouse containing Cre recombinase inserted into the Clara cell secretory protein (CCSP) locus (10). CC-LR/IL6 KO mice were generated by crossing CC-LR mice to a previously generated mouse with a targeted mutation in exon 2 of the IL-6 gene (IL-6 KO mouse; ref. 29). IL-6 KO mice were purchased from the Jackson Laboratory. All mice were housed in specific, pathogen-free conditions and handled in accordance with the Institutional Animal Care and Use Committee of M. D. Anderson Cancer Center. Mice were monitored daily for evidence of disease or death.
Ovalbumin sensitization and aerosol exposure
CC-LR and WT mice were sensitized to ovalbumin (OVA) administered by intraperitoneal (IP) injection weekly for 2 weeks at age of 6 weeks (20 μg ovalbumin grade V, 2.25 mg alum in saline, pH 7.4; Sigma). Starting at the age of 8 weeks, sensitized mice were exposed for 30 minutes to an aerosol of 2.5% ovalbumin in 0.9% saline supplemented with 0.02% antifoam A silicon polymer (Sigma) with an AeroMist CA-209 compressed gas nebulizer (CIS-US) in the presence of room air supplemented with 5% CO2 (30). Mice were challenged weekly with aerosols for 8 weeks.
NTHi lysate aerosol exposure
A lysate of NTHi strain 12 was prepared as previously described (7), the protein concentration was adjusted to 2.5 mg/mL in PBS, and the lysate was frozen in 10 mL aliquots at −80°C. To deliver the lysate to mice by aerosol, a thawed aliquot was placed in an AeroMist CA-209 nebulizer (CIS-US) driven by 10 L/min of room air supplemented with 5% CO2 for 20 minutes. CC-LR and CC-LR/IL6 KO mice were exposed to the lysate starting at 6 weeks of age once a week for 8 weeks.
Assessment of lung tumor burden and inflammation
On the first day after the final NTHi or OVA exposure, animals were euthanized by IP injection of a lethal dose of avertin (Sigma). In all mice (n = 8 per group per time point), lung surface tumor numbers were counted and then in some of them (n = 4 per group per time point), the lungs were prepared for histologic analysis as described in the following text. In other mice (n = 4 per group per time point), bronchoalveolar lavage fluid (BALF) was obtained by sequentially instilling and collecting 2 aliquots of 1 mL PBS through a tracheostomy cannula. Total leukocyte count was determined using a hemacytometer, and cell populations were determined by cytocentrifugation of 300 μL of BALF followed by Wright-Giemsa staining. The remaining BALF (∼1,400 μL) was centrifuged at 1,250 × g for 10 minutes, and supernatants were collected and stored at −70°C. Cytokine concentrations were measured in duplicate by multiplexed sandwich ELISA using SearchLight Proteome Arrays (Aushon Biosystems).
Histochemistry
The tracheas of euthanized mice were cannulated with PE-50 tubing and sutured into place. The lungs were infused with 10% buffered formalin (Sigma) and then removed and placed in 10% buffered formalin for 18 hours. Tissues then were transferred to 75% ethanol, embedded in paraffin blocks, and sectioned at 5-μm thickness. The sections on glass slides were dried at 60°C for 15 minutes and then were deparaffinized and stained with hematoxylin and eosin (H&E) by incubating the tissues in Harris hematoxylin (Sigma) followed by serial eosin (Sigma) and graded ethanol steps. The H&E-stained slides were examined by a pathologist blinded to genotype and treatment, and the proliferative lesions of the lungs were evaluated in accordance with the recommendations of the Mouse Models of Human Cancer Consortium (31). The severity of inflammatory lesions of the lungs were scored from 1 to 4 as follows: grade 1—minimal, lesions affect less than 10% of tissue; grade 2—mild, lesions affect 10%–20% of tissue; grade 3—moderate, lesions affect 21%–40% of tissue; and grade 4—marked or severe, lesions affect 41%–100% of the tissue.
For fluorescent labeling of mucin, tissues were stained using a periodic acid fluorescent Schiff (PAFS) staining procedure in which acriflavine was substituted for pararosaniline as described previously (30). Briefly, tissues were oxidized in 1% periodic acid (10 minutes), rinsed, treated with acriflavine fluorescent Schiff's reagent (0.5% acriflavine HCl, 1% sodium metabisulfite, 0.01N HCl) for 20 minutes, rinsed in double deionized H2O, and rinsed 2 × 5 minutes in acid alcohol (0.1N HCl in 70% ethanol). Slides were dehydrated in graded ethanol solutions and allowed to air dry in the dark. Once dry, PAFS-stained slides were coverslipped with Canada balsam mounting medium (50% Canada balsam resin, 50% methyl salicylate; Fisher Chemicals) and then analyzed with fluorescence microscopy as previously described, with mucin granules showing red fluorescence and nuclei and cytoplasm showing green fluorescence (30).
Gene expression analysis
Mice treated with the aerosolized NTHi lysate or OVA aerosol were euthanized on day 1 after the last exposure for comparison (n = 4 per group). To reduce the lung leukocyte burden, the pulmonary vasculature was perfused and the airways lavaged with PBS. The lungs were mechanically homogenized, then total RNA was isolated from lung homogenates by using the RNeasy system (Qiagen), and cRNA was synthesized and amplified from equal masses of total RNA by using the Ilumina TotalPrep RNA amplification kit (Ambion). Amplified cRNA was hybridized and labeled on Sentrix Mouse-8 Expression BeadChips (Illumina) and then scanned on a BeadStation 500 (Illumina). Primary microarray data were deposited at the NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/) consistent with minimum information about a microarray experiment (MIAME) standards (GEO Accession GSE19605). Primary signal intensity was background-subtracted and normalized to untreated groups (WT or K-ras mutants), using a rank-invariant algorithm. Differentially expressed genes were identified using Illumina BeadStudio software. Genes with differential scores of ≥20 or ≤−20 were considered significantly up- or downregulated, respectively. Differential score represents the difference in expression of individual genes or cluster genes that are expressed or coexpressed over various conditions, using the Illumina algorithm that incorporates fold-change, detection P value, and signal intensity standard deviation between replicate beads of each array and signal intensity standard deviation between different arrays in the same treatment group (32, 33).
Quantitative RT-PCR analysis
Total RNA was isolated from whole lung according to the TRIzol reagent protocol (Invitrogen). The cDNA was generated from RNA samples and quantitative RT-PCR, using predesigned assays (ABI Systems), was conducted to assay the expression of the 10 selected upregulated genes from microarray data. β-Actin RNA was measured for reference. PCR was carried out according to a standard protocol (ABI Systems), and products measured on an ABI Prism 7000 sequence detector. Relative expression of each gene was calculated and graphed for comparison among the treatment groups.
Statistical methods
Summary statistics for cell counts in BALF were computed within treatment groups, and analysis of variance with adjustment for multiple comparisons was conducted to examine the differences between the mean cell counts of the control group and each of the OVA or NTHi treatment groups. For tumor counts, comparisons of groups were made using Student's t test. Differences were considered significant for P < 0.05.
Results
Ovalbumin-induced airway inflammation
To test the role of allergic airway inflammation in promotion of lung carcinogenesis, we exposed sensitized WT, CC-LR, and LSL-K-rasG12D littermate control mice to aerosolized OVA once weekly for 8 weeks. In WT mice, this exposure resulted in more than a 10-fold increase in total leukocyte number 1 day after the last exposure (not shown). This increase was due to a combination of neutrophils, lymphocytes, macrophages, and eosinophils (Fig. 1A). The increase in neutrophil numbers began to decline over the ensuing 2–3 days, followed by a more gradual increase in eosinophils, lymphocytes, and macrophages (not shown). This is in contrast to BALF cell populations in NTHi-induced airway inflammation, which are characterized by a very large increase in neutrophil numbers and no increase in eosinophil numbers (7, 10). Analysis of the BALF from LSL-K-rasG12D littermate control mice exposed to aerosolized OVA showed a similar pattern to WT mice (not shown). However, CC-LR mice showed elevated total cell and macrophage numbers even in the absence of exposure to OVA (Fig. 1A), as previously described by us and others in models that induce expression of activated K-ras in the airways (10, 34, 35). Paradoxically, the increase in eosinophil and neutrophil numbers in CC-LR mice after exposure to the OVA aerosol was less than in WT mice (Fig. 1A). This is reminiscent of the declining neutrophil numbers with repetitive exposure of WT mice to the NTHi lysate, and it suggests the development of immune tolerance (7).
Analysis of lung inflammation after repetitive exposure to the aerosolized ovalbumin (OVA). WT and CC-LR mice were sensitized by intraperitoneal injection of OVA weekly for 2 weeks at age 6 weeks. Then, starting at age 8 weeks, sensitized mice were exposed to an OVA aerosol weekly for 8 weeks. Total and lineage-specific leukocyte numbers in BALF 1 day after OVA aerosol exposure are shown (mean ± SE; *, P < 0.05 for WT or CC-LR with OVA exposure versus without OVA exposure; #, P < 0.05 for WT without OVA exposure versus CC-LR without OVA exposure or WT with OVA exposure vs. CC-LR with OVA exposure). B, PAFS staining for mucin in lungs of CC-LR mice exposed to PBS alone (left two panels), and mice exposed to aerosolized OVA and sacrificed 2 days after the last exposure (right two panels). Arrows show mucous metaplastic epithelium. Scale bars for 10 × and 40 × panels are 100 and 25 μm, respectively.
Analysis of lung inflammation after repetitive exposure to the aerosolized ovalbumin (OVA). WT and CC-LR mice were sensitized by intraperitoneal injection of OVA weekly for 2 weeks at age 6 weeks. Then, starting at age 8 weeks, sensitized mice were exposed to an OVA aerosol weekly for 8 weeks. Total and lineage-specific leukocyte numbers in BALF 1 day after OVA aerosol exposure are shown (mean ± SE; *, P < 0.05 for WT or CC-LR with OVA exposure versus without OVA exposure; #, P < 0.05 for WT without OVA exposure versus CC-LR without OVA exposure or WT with OVA exposure vs. CC-LR with OVA exposure). B, PAFS staining for mucin in lungs of CC-LR mice exposed to PBS alone (left two panels), and mice exposed to aerosolized OVA and sacrificed 2 days after the last exposure (right two panels). Arrows show mucous metaplastic epithelium. Scale bars for 10 × and 40 × panels are 100 and 25 μm, respectively.
Leukocyte recruitment in response to OVA was accompanied by a significant increase in BALF levels of Th2 cytokines (IL-4 and IL-13) and the eosinophil chemokine eotaxin, with mildly increased levels of inflammatory cytokines (IL-6 and TNF) and the neutrophil keratinocyte-derived chemokine (KC; Table 1). There was no change in levels of Th1 and Th17 cytokines after repetitive OVA exposure (Table 1) in contrast to NTHi-induced COPD-like airway inflammation in which high levels of inflammatory cytokines (IL-6, TNF), TGF-β, IL-17, and KC were detected (data not shown; refs. 7, 10). CC-LR mice showed elevated levels of inflammatory cytokines (IL-6, 61.5-fold; TNF, 6.5-fold; IFN-γ, 4.2-fold; IL-17, 9.2-fold; and KC, 6.5-fold) even in the absence of OVA exposure compared with WT mice (Table 1).
Cytokine levels in BALF after OVA exposure
Cytokines . | WT . | CC-LR . | ||||
---|---|---|---|---|---|---|
. | −OVA . | +OVAa . | FCb . | −OVA . | +OVAa . | FCb . |
Inflammatory | ||||||
TNF | 4.3 ± 0.5 | 43.8 ± 12.9 | 10.2 | 28.1 ± 6.1 | 34.8 ± 0.6 | 1.2 |
IL-1β | 4.9 ± 0.7 | 7.2 ± 0.7 | 1.4 | 7.4 ±1.3 | 5.5 ± 0.6 | 0.7 |
IL-6 | 9.9 ± 1.5 | 33.3 ± 2.3 | 3.3 | 608.4 ±145.7 | 302.7 ± 79.6 | 0.5 |
Th1 | ||||||
IFN-γ | 1.4 ± 0.03 | 0.9 ± 0.2 | 0.6 | 6.0 ± 1.8 | 2.3 ± 0.7 | 0.4 |
Th2 | ||||||
IL-4 | 1.4 ± 0.1 | 34.0 ± 5.4 | 24.3 | 1.1 ± 0.3 | 25.2 ± 1.1 | 22.9 |
IL-13 | 1.8 ± 0.4 | 6.5 ± 1.3 | 3.6 | 2.6 ± 0.4 | 7.9 ± 0.9 | 3.1 |
Th17 | ||||||
IL-17 | 0.4 ± 0.2 | 1.1 ± 0.1 | 2.7 | 3.7 ± 0.6 | 3.5 ± 0.3 | 0.9 |
Chemokine | ||||||
KC | 2.1 ± 0.8 | 6.1 ± 2.5 | 2.9 | 13.7 ± 2.5 | 34.5 ± 5.5 | 2.5 |
Eotaxin | 2.9 ± 1.1 | 15.1 ± 2.4 | 5.2 | 2.8 ± 1.1 | 23.3 ± 7.3 | 8.3 |
Cytokines . | WT . | CC-LR . | ||||
---|---|---|---|---|---|---|
. | −OVA . | +OVAa . | FCb . | −OVA . | +OVAa . | FCb . |
Inflammatory | ||||||
TNF | 4.3 ± 0.5 | 43.8 ± 12.9 | 10.2 | 28.1 ± 6.1 | 34.8 ± 0.6 | 1.2 |
IL-1β | 4.9 ± 0.7 | 7.2 ± 0.7 | 1.4 | 7.4 ±1.3 | 5.5 ± 0.6 | 0.7 |
IL-6 | 9.9 ± 1.5 | 33.3 ± 2.3 | 3.3 | 608.4 ±145.7 | 302.7 ± 79.6 | 0.5 |
Th1 | ||||||
IFN-γ | 1.4 ± 0.03 | 0.9 ± 0.2 | 0.6 | 6.0 ± 1.8 | 2.3 ± 0.7 | 0.4 |
Th2 | ||||||
IL-4 | 1.4 ± 0.1 | 34.0 ± 5.4 | 24.3 | 1.1 ± 0.3 | 25.2 ± 1.1 | 22.9 |
IL-13 | 1.8 ± 0.4 | 6.5 ± 1.3 | 3.6 | 2.6 ± 0.4 | 7.9 ± 0.9 | 3.1 |
Th17 | ||||||
IL-17 | 0.4 ± 0.2 | 1.1 ± 0.1 | 2.7 | 3.7 ± 0.6 | 3.5 ± 0.3 | 0.9 |
Chemokine | ||||||
KC | 2.1 ± 0.8 | 6.1 ± 2.5 | 2.9 | 13.7 ± 2.5 | 34.5 ± 5.5 | 2.5 |
Eotaxin | 2.9 ± 1.1 | 15.1 ± 2.4 | 5.2 | 2.8 ± 1.1 | 23.3 ± 7.3 | 8.3 |
aBALFs were collected the first day after the 8th OVA exposure. All data are the mean ± SEM and are expressed as pg/mL.
bFold change (+OVA/−OVA).
Histopathologically, both WT and CC-LR mice showed significant airway epithelial mucous metaplasia (red fluorescence) after repetitive aerosol exposure to OVA detected by PAFS staining of lung sections collected 2 days after the last exposure (Fig. 1B), indicating effective function of OVA-induced inflammation in producing an asthmatic airway epithelial phenotype. There were numerous mixed inflammatory cells infiltrated around the airways and blood vessels in the lungs of 12- and 16-week-old control and CC-LR mice after 4 and 8 weekly OVA aerosol exposures (Fig. 2A). In addition, mild to moderate numbers of macrophages were infiltrated diffusely in the alveoli of these mice. Of note, in contrast to increased infiltration of lung parenchyma with macrophages after chronic OVA exposure, less macrophages were seen in BALF of CC-LR mice exposed to OVA (Fig. 1A). This is not uncommon because BALF only provides information about the cells within the alveolar air spaces that readily detach from the septae. Cells infiltrating the lung parenchyma and tumors are not likely to be present in BALF as previously described (36).
Histopathologic analysis of inflammation and tumor progression in lungs after repetitive OVA aerosol exposure. Mice were sensitized weekly for 2 weeks, exposed to OVA aerosol weekly for 8 weeks, and then sacrificed 1 day after the last exposure and their lungs processed for light microscopy with H&E staining to study the inflammation and tumor progression. A, top two panels show H&E-stained sections from the lungs of WT mice with or without repetitive OVA aerosol exposure (10×; scale bar, 100 μm). Bottom two panels show H&E-stained sections from the lungs of CC-LR mice with or without repetitive OVA aerosol exposure (10×; scale bar, 100 μm). B, lung surface tumor numbers in CC-LR mice before OVA aerosol exposure (week 6), after 2 weekly OVA sensitization followed by 4 and 8 weekly exposures to the aerosolized OVA (week 12 and 16, closed circles), or without IP sensitization and aerosol exposure (week 12 and 16, open circles) are shown (gray line with triangle representing NTHi-exposed CC-LR mice as the historical control, mean ± SE; *, P < 0.05 for NTHi exposed vs. unexposed).
Histopathologic analysis of inflammation and tumor progression in lungs after repetitive OVA aerosol exposure. Mice were sensitized weekly for 2 weeks, exposed to OVA aerosol weekly for 8 weeks, and then sacrificed 1 day after the last exposure and their lungs processed for light microscopy with H&E staining to study the inflammation and tumor progression. A, top two panels show H&E-stained sections from the lungs of WT mice with or without repetitive OVA aerosol exposure (10×; scale bar, 100 μm). Bottom two panels show H&E-stained sections from the lungs of CC-LR mice with or without repetitive OVA aerosol exposure (10×; scale bar, 100 μm). B, lung surface tumor numbers in CC-LR mice before OVA aerosol exposure (week 6), after 2 weekly OVA sensitization followed by 4 and 8 weekly exposures to the aerosolized OVA (week 12 and 16, closed circles), or without IP sensitization and aerosol exposure (week 12 and 16, open circles) are shown (gray line with triangle representing NTHi-exposed CC-LR mice as the historical control, mean ± SE; *, P < 0.05 for NTHi exposed vs. unexposed).
Effect of ovalbumin-induced airway inflammation on lung tumor progression
Histologic examination revealed that the lungs of 16-week-old CC-LR mice not exposed to OVA contained an average of 33 foci of bronchiolar and/or alveolar hyperplasia, 8 foci of atypical adenomatous hyperplasia, and 0.7 alveolar adenomas (Fig. 2A). These lesions were associated with minimal infiltration (grade 1) of macrophages and occasional lymphocytes in the alveolar parenchyma and perivascular area. Unlike the mice unexposed to OVA, the 12- and 16-week-old CC-LR mice exposed weekly to the OVA aerosol had more numerous macrophages, neutrophils, and lymphocytes infiltrated around the airways and blood vessels (grades 2 and 3) and diffusely into the alveolar parenchyma (grade 2; ref. Fig. 2A). Although the numbers of infiltrated inflammatory cells were significantly increased in CC-LR mice exposed to OVA in comparison with CC-LR mice not exposed to OVA, the CC-LR mice exposed to OVA had fewer proliferative lung lesions. The CC-LR mice exposed to OVA had an average of 22 foci of hyperplasia, 4 foci of atypical adenomatous hyperplasia, and no adenomas or adenocarcinomas. In addition, the proliferative lesions were less extensive, affecting a slightly lower percentage of the pulmonary parenchyma in CC-LR mice exposed to OVA (Fig. 2A). Most hyperplastic lesions of these lungs consisted of a combination of papillary hyperplasia of bronchiolar epithelium and alveolar hyperplasia. Only a few hyperplastic lung lesions affected either the bronchioles or the alveoli alone. Atypical adenomatous hyperplasia affected the terminal bronchioles and alveoli and had a higher degree of hyperplasia associated with cellular atypia, significant anisocytosis and anisokaryosis, hyperchromasia, and dysplastic growth of epithelial cells, but without formation of a distinct solid mass as in adenoma or in carcinoma. Adenomas were well-circumscribed areas of cuboidal or columnar cells lining the alveoli and replacing completely the alveolar spaces, making solid masses less than 5 mm in diameter. Adenomatous lesions larger than 5 mm in diameter, or smaller solid lesions that had marked cytologic atypia, numerous mitoses, and evidence of invasion of the surrounding tissues or vasculature, were classified as pulmonary adenocarcinomas.
The effect of airway inflammation induced by the OVA aerosol on lung tumor progression was analyzed quantitatively by determining the number of tumors visible macroscopically on the pleural surface of the lungs in CC-LR mice. As shown in Figure 2B, in contrast to NTHi-induced airway inflammation that promotes tumor development by 3.2-fold (gray line; ref. 10), OVA did not change the number of lung surface tumors in CC-LR mice after 4 (22 ± 3 in OVA exposed vs. 26 ± 6 in control mice) or 8 weekly exposures (49 ± 9 in OVA exposed vs. 52 ± 5 in control mice, black lines). No tumors were observed macroscopically on the lung surface of control WT and LSL-K-rasG12D mice exposed to the OVA aerosol for a similar duration (data not shown).
Effect of NTHi- and OVA-induced airway inflammation on gene expression in the lung
To gain insight into the mechanism of cancer promotion by intrinsic Ras-induced inflammation and by extrinsic NTHi-induced COPD-like inflammation, but not by OVA-induced asthma-like airway inflammation, we compared the gene expression profiles of NTHi-treated and OVA-treated lungs 1 day after the last exposure. Requiring a differential score of ≥20 to define upregulated genes and ≤−20 to define downregulated genes, we identified 149 differentially expressed genes (DEG) in untreated CC-LR mice (22 decreased, 127 increased) compared with untreated WT mice. We also identified 253 DEGs in NTHi-treated WT mice (16 decreased, 253 increased) compared with nontreated WT mice and 485 DEGs in NTHi-treated CC-LR mice (16 decreased, 485 increased) compared with nontreated CC-LR mice. Conversely, chronic OVA exposure resulted in a much less pronounced differential gene expression pattern, with only 3 DEGs in chronically OVA-exposed WT mice and no DEGs in chronically OVA-exposed CC-LR mice, compared with untreated mice. The differentially expressed genes encode a broad array of proteins involved in inflammation and immune responses, including cytokines and chemokines, pattern recognition receptors, intracellular signaling proteins, and numerous proteins involved in tumor development, including the ones responsible for cell cycle and growth, cell death and apoptosis, angiogenesis, invasion, and metastasis (Fig. 3A and Table 2).
Gene expression analysis of whole lung. A, representative of microarray gene expression changes in the whole lung of untreated CC-LR mice compared with untreated WT mice (right panels). Expression changes of the same genes in WT mice (left) and CC-LR mice (middle) 1 day after repetitive NTHi lysate treatment compared with the one with repetitive OVA treatment (red, increased gene expression; green, decreased gene expression B, quantitative PCR was done on the RNA extracted from whole lung tissue of WT, CC-LR, and CC-LR mice exposed to NTHi, or OVA, and relative mRNA expression of selected genes was calculated and graphed (normalized to β-actin expression level, mean ± SE; *, P < 0.05 for CC-LR, or CC-LR with NTHi, or with OVA exposure vs. WT).
Gene expression analysis of whole lung. A, representative of microarray gene expression changes in the whole lung of untreated CC-LR mice compared with untreated WT mice (right panels). Expression changes of the same genes in WT mice (left) and CC-LR mice (middle) 1 day after repetitive NTHi lysate treatment compared with the one with repetitive OVA treatment (red, increased gene expression; green, decreased gene expression B, quantitative PCR was done on the RNA extracted from whole lung tissue of WT, CC-LR, and CC-LR mice exposed to NTHi, or OVA, and relative mRNA expression of selected genes was calculated and graphed (normalized to β-actin expression level, mean ± SE; *, P < 0.05 for CC-LR, or CC-LR with NTHi, or with OVA exposure vs. WT).
Comparison of gene expression changes presented as fold changes
Symbol . | Category and definition . | CC-LR/WT . | WT + NTHi/WT . | CC-LR + NTHi/CC-LR . | WT + OVA/WT . | CC-LR+OVA/CC-LR . | Accession Number . |
---|---|---|---|---|---|---|---|
Inflammatory | |||||||
Il1b | Interleukin 1 beta | 146.80 | 218.5 | 4.9 | 59.1 | 0.90 | NM_008361 |
Il6 | Interleukin 6 | 17.00 | 14.6 | 1.6 | −5.9 | -3.90 | NM_031168.1 |
Il12b | Interleukin 12 beta | 87.00 | 12.7 | −9.0 | −12.5 | -50.30 | NM_008352.2 |
Il17f | Interleukin 17f | 7.40 | 17.6 | 1.1 | −0.02 | -10.50 | NM_145856.1 |
Il18 | Inteleukin 18 | 2.60 | 1.6 | 3.6 | 0.2 | 1.20 | NM_008360.1 |
TNF | Tumor necrosis factor | 17.50 | 51.2 | 3.1 | −19 | -7.20 | NM_144548.1 |
Il17ra | Interleukin 17 receptor A | 1.10 | 1.7 | 3.3 | 0.7 | 0.05 | NM_013693.1 |
Il8rb | Interleukin 8 receptor, beta | 27.20 | 24 | 4.5 | 0.8 | -2.20 | NM_008359.1 |
Cxcl2 | Chemokine (C-C motif) receptor 2 | 39.90 | 33.6 | 2.5 | −0.9 | -0.60 | NM_009909.3 |
Cxcr4 | Chemokine (C-X-C motif) receptor 4 | 238.80 | 157.5 | 1.4 | 19.7 | -0.06 | NM_009915.1 |
Cxcl4 | Chemokine (C-X-C motif) ligand 4 | 1.60 | 0.7 | 2.9 | 1.3 | 0.46 | NM_009140.2 |
Ifngr1 | Interferon gamma receptor 1 | 2.20 | 2.7 | 1.8 | 0.9 | 1.10 | NM_009911.2 |
Ifngr2 | Interferon gamma receptor 2 | 1.30 | 4.1 | 1.6 | 1.5 | 0.80 | NM_019932.2 |
Ifi30 | Interferon gamma inducible protein 30 | 2.60 | 3.5 | 2.2 | 1.3 | 1.03 | NM_010511.2 |
Immune response | |||||||
Nfkb1 | Nuclear factor of kappa light polypeptide gene enhancer in B-cells, 1 p105 | 1.60 | 2.4 | 1.4 | 1.2 | 0.51 | NM_008689.2 |
Nfkb2 | Nuclear factor of kappa light polypeptide gene enhancer in B cells 2 | 79.70 | 40.9 | 1.5 | 31.5 | 0.07 | NM_019408.1 |
Stat3 | Signal transducer and activator of transcription 3 | 2.50 | 3.5 | 1.9 | 0.7 | 0.30 | NM_011486.4 |
Ap1m2 | Adaptor protein complex AP-1, mu 2 subunit | 6.80 | 44.8 | 1.8 | 0.3 | 0.40 | NM_009678.1 |
Tlr2 | Toll-like receptor 2 | 381.50 | 250.7 | 3.3 | 4.4 | 0.80 | NM_011905.2 |
Tlr4 | Toll-like receptor 4 | 13.60 | 14.4 | 1.5 | −0.7 | 0.60 | NM_021297.2 |
Tlr6 | Toll-like receptor 6 | 81.70 | 45.6 | 1.2 | −1.8 | 0.26 | NM_011604.2 |
Tlr7 | Toll-like receptor 7 | 21.30 | 7.1 | 1.8 | 5.7 | 0.89 | NM_133211.3 |
Irak2 | Interleukin-1 receptor–associated kinase 2 | 2.40 | 1.9 | 1.7 | 0.7 | 0.37 | NM_172161.2 |
Raet1a | Retinoic acid early transcript 1, alpha | 9.10 | 12.1 | 0.1 | −5.2 | −3.70 | NM_009016.1 |
S100a8 | S100 calcium-binding protein A8 | 2.20 | 2.1 | 2.1 | 1.6 | 0.80 | NM_013650.2 |
Kng1 | Kininogen 1 | 3.60 | 17.2 | 2.2 | 2.3 | 1.70 | NM_023125.2 |
Kng2 | Kininogen 2 | 8.50 | 2.2 | 5.6 | 0.8 | 0.70 | NM_201375.1 |
Lbp | Lipopolysaccharide binding protein | 3.30 | 1.3 | 1.3 | 0.4 | 0.50 | NM_008489.2 |
Cd68 | CD68 antigen | 54.90 | 7.1 | 1.4 | 6.3 | 1.10 | NM_009853.1 |
Cell cycle and growth | |||||||
Fgf7 | Fibroblast growth factor 7 | 2.60 | 2.6 | 1.2 | 0.5 | −1.60 | NM_008008.3 |
Myc | Myelocytomatosis oncogene | 12.00 | 5.5 | 1.3 | −5 | 3.30 | NM_010849.4 |
Ereg | Epiregulin | 5.70 | 5.9 | 2.3 | −6.9 | −4.80 | NM_007950.1 |
Cdkn2a | Cyclin-dependent kinase inhibitor 2A | 17.90 | 18.9 | 1.1 | −3.3 | −2.60 | NM_009877.2 |
Fgfr2 | Fibroblast growth factor receptor 2 | 20.00 | 16.4 | 5.5 | 0.7 | 2.20 | NM_010207.2 |
Itm2b | Integral membrane protein 2B | 1.90 | 1.8 | 1.2 | −1.75 | 0.51 | NM_008410.2 |
Csf1r | Colony-stimulating factor 1 receptor | 13.90 | 16.1 | 2.3 | 1.7 | 2.60 | NM_001037859.2 |
Csf2 | Colony-stimulating factor 2 | 244.50 | 41.6 | 2.0 | 7.5 | 0.40 | NM_009969.4 |
Csf2ra | Colony-stimulating factor 2 receptor, alpha | 354.40 | 150.3 | 1.2 | 40.3 | 0.20 | NM_009970.1 |
Socs3 | Suppressor of cytokine signaling 3 | 2.70 | 1.6 | 1.1 | 1.4 | 0.90 | NM_007707.2 |
Cdkn1a | Cyclin-dependent kinase inhibitor 1A | 5.90 | 3.4 | 1.7 | 4.1 | 1.10 | NM_007669.2 |
Emr1 | EGF-like module containing, mucin-like, hormone receptor-like sequence 1 | 14.70 | 75.2 | 2.1 | 19.2 | 1.10 | NM_010130.1 |
Areg | Amphiregulin | 9.90 | 1.6 | 1.2 | 1.1 | 0.80 | NM_009704.3 |
Cell death and apoptosis | |||||||
Cideb | Cell death–inducing DNA fragmentation factor, alpha subunit-like effector B | 67.40 | 21.5 | 1.4 | −2.7 | 0.60 | NM_009894.2 |
Bcl2l14 | Bcl2-like protein14 | 29.70 | 30.2 | 1.5 | −25.6 | −4.00 | NM_025778.1 |
Bcl2a1c | B-cell leukemia/lymphoma 2–related protein A1c | 233.00 | 42.6 | 2.5 | −0.1 | 0.07 | NM_007535.2 |
Angiogenesis, invasion, and metastasis | |||||||
Pdgfc | Platelet-derived growth factor, C polypeptide | 29.40 | 18.3 | 1.8 | 9.4 | 1.20 | NM_019971.2 |
Vegfc | Vascular endothelial growth factor C | 2.30 | 2.7 | 1.4 | 2.1 | 1.60 | NM_009506.2 |
Hbegf | Heparin-binding EGF-like growth factor | 1.10 | 1.1 | 1.5 | 1.6 | 2.10 | NM_010415.1 |
Hif1a | Hypoxia inducible factor 1, alpha subunit | 23.60 | 17.4 | 6.6 | −41.7 | −6.50 | NM_010431.1 |
Icam1 | Intercellular adhesion molecule 1 | 6.80 | 4.5 | 3.4 | 2.1 | 0.80 | NM_010493.2 |
Pecam1 | Platelet/endothelial cell adhesion molecule 1 | 1.90 | 3.1 | 1.9 | 0.6 | 0.50 | NM_008816.2 |
Mmp2 | Matrix metallopeptidase 2 | 1.40 | 3.3 | 1.2 | 0.3 | 0.30 | NM_008610.2 |
Mmp12 | Matrix metallopeptidase 12 | 2,827.00 | 305.5 | 5.0 | 299.4 | 0.40 | NM_008605.3 |
Mmp14 | Matrix metallopeptidase 14 | 1.90 | 2.9 | 1.3 | 1.9 | 0.40 | NM_008608.2 |
Timp1 | Tissue inhibitor of metalloproteinase 1 | 9.30 | 17.4 | 1.4 | 2.4 | 1.20 | NM_011593 |
Nus1 | Nuclear undecaprenyl pyrophosphate synthase 1 homologue | 301.20 | 72.5 | 1.4 | 11.6 | 0.40 | NM_030250.1 |
Ang | Angiogenin | 2.50 | 1.9 | 1.5 | 0.8 | 0.70 | NM_007447.2 |
Tgfbr1 | Transforming growth factor, beta receptor I | 3.40 | 4.9 | 1.5 | 0.9 | 0.70 | NM_009370.2 |
Tgfbr2 | Transforming growth factor, beta receptor II | 2.40 | 2.2 | 2.2 | 0.5 | 0.90 | NM_009371.2 |
Lcn2 | Lipocalin 2 | 9.70 | 15.4 | 2.1 | 7.2 | 0.80 | NM_008491.1 |
Protein synthesis, turnover, and targeting | |||||||
Eif1a | Eukaryotic translation initiation factor 1A | 1.90 | 1.3 | 1.1 | 0.7 | 0.62 | NM_025437.4 |
Kras | v-Ki-ras2 Kirsten rat sarcoma viral oncogene homologue | 2.30 | 0.3 | 1.1 | 0.5 | 0.70 | NM_021284.4 |
Hras1 | Harvey rat sarcoma virus oncogene 1 | 1.80 | 1.9 | 1.2 | 1.8 | −0.08 | NM_008284.1 |
Nola2 | Nucleolar protein family A, member 2 | 2.10 | 1.8 | 1.8 | 0.8 | 0.50 | NM_026631.3 |
Nol5A | Nucleolar protein 5A | 56.70 | 7.6 | 2.3 | −1.8 | −0.57 | NM_024193.2 |
Nup62 | Nucleoporin 62 | 2.90 | 1.5 | 1.1 | 1.1 | 0.72 | NM_053074.1 |
Rasl11a | RAS-like, family 11, member A | 5.30 | 2.4 | 1.9 | 3 | 0.58 | NM_026864.1 |
Rhog | Ras homologue gene family, member G | 1.50 | 0.9 | 1.3 | 1.6 | 1.36 | NM_019566.3 |
Ctsc | Cathepsin C | 9.10 | 7.8 | 1.7 | 2.9 | 0.87 | NM_009982.2 |
Sdcbp2 | Syndecan-binding protein | 2.40 | 9.3 | 16.8 | 0.2 | -0.48 | NM_001098227.1 |
Morphogenesis | |||||||
Krt19 | Keratin 19 | 26.30 | 18.1 | 1.2 | 15.7 | 0.55 | NM_008471.2 |
Krt23 | Keratin 23 | 3.60 | 1.3 | 1.3 | 0.7 | 0.70 | NM_033373.1 |
Lamc2 | Laminin, gamma 2 | 30.10 | 67.2 | 1.9 | −13.7 | −0.50 | NM_008485.3 |
Sftpb | Surfactant-associated protein B | 3.40 | 1.3 | 1.5 | 0.9 | 0.40 | NM_147779.1 |
Transcription and chromatin structure | |||||||
Bhlhb8 | Basic helix-loop-helix domain containing, class B, 8 | 2.10 | 1.4 | 1.7 | 1.1 | 2.10 | NM_010800.3 |
Ddx39 | DEAD (Asp-Glu-Ala-Asp) box polypeptide 39 | 19.90 | 16.5 | 1.1 | 5.8 | 0.66 | NM_197982.2 |
Lmna | Lamin A | 9.10 | 5.8 | 1.1 | 2 | 0.80 | NM_019390.1 |
Pparg | Peroxisome proliferator-activated receptor gamma | 18.60 | 12.7 | 2.8 | 1.1 | 1.60 | NM_011146.2 |
Spib | Spi-B transcription factor (Spi-1/PU.1-related) | 18.40 | 35.9 | 1.0 | 13 | −4.80 | NM_019866.1 |
Symbol . | Category and definition . | CC-LR/WT . | WT + NTHi/WT . | CC-LR + NTHi/CC-LR . | WT + OVA/WT . | CC-LR+OVA/CC-LR . | Accession Number . |
---|---|---|---|---|---|---|---|
Inflammatory | |||||||
Il1b | Interleukin 1 beta | 146.80 | 218.5 | 4.9 | 59.1 | 0.90 | NM_008361 |
Il6 | Interleukin 6 | 17.00 | 14.6 | 1.6 | −5.9 | -3.90 | NM_031168.1 |
Il12b | Interleukin 12 beta | 87.00 | 12.7 | −9.0 | −12.5 | -50.30 | NM_008352.2 |
Il17f | Interleukin 17f | 7.40 | 17.6 | 1.1 | −0.02 | -10.50 | NM_145856.1 |
Il18 | Inteleukin 18 | 2.60 | 1.6 | 3.6 | 0.2 | 1.20 | NM_008360.1 |
TNF | Tumor necrosis factor | 17.50 | 51.2 | 3.1 | −19 | -7.20 | NM_144548.1 |
Il17ra | Interleukin 17 receptor A | 1.10 | 1.7 | 3.3 | 0.7 | 0.05 | NM_013693.1 |
Il8rb | Interleukin 8 receptor, beta | 27.20 | 24 | 4.5 | 0.8 | -2.20 | NM_008359.1 |
Cxcl2 | Chemokine (C-C motif) receptor 2 | 39.90 | 33.6 | 2.5 | −0.9 | -0.60 | NM_009909.3 |
Cxcr4 | Chemokine (C-X-C motif) receptor 4 | 238.80 | 157.5 | 1.4 | 19.7 | -0.06 | NM_009915.1 |
Cxcl4 | Chemokine (C-X-C motif) ligand 4 | 1.60 | 0.7 | 2.9 | 1.3 | 0.46 | NM_009140.2 |
Ifngr1 | Interferon gamma receptor 1 | 2.20 | 2.7 | 1.8 | 0.9 | 1.10 | NM_009911.2 |
Ifngr2 | Interferon gamma receptor 2 | 1.30 | 4.1 | 1.6 | 1.5 | 0.80 | NM_019932.2 |
Ifi30 | Interferon gamma inducible protein 30 | 2.60 | 3.5 | 2.2 | 1.3 | 1.03 | NM_010511.2 |
Immune response | |||||||
Nfkb1 | Nuclear factor of kappa light polypeptide gene enhancer in B-cells, 1 p105 | 1.60 | 2.4 | 1.4 | 1.2 | 0.51 | NM_008689.2 |
Nfkb2 | Nuclear factor of kappa light polypeptide gene enhancer in B cells 2 | 79.70 | 40.9 | 1.5 | 31.5 | 0.07 | NM_019408.1 |
Stat3 | Signal transducer and activator of transcription 3 | 2.50 | 3.5 | 1.9 | 0.7 | 0.30 | NM_011486.4 |
Ap1m2 | Adaptor protein complex AP-1, mu 2 subunit | 6.80 | 44.8 | 1.8 | 0.3 | 0.40 | NM_009678.1 |
Tlr2 | Toll-like receptor 2 | 381.50 | 250.7 | 3.3 | 4.4 | 0.80 | NM_011905.2 |
Tlr4 | Toll-like receptor 4 | 13.60 | 14.4 | 1.5 | −0.7 | 0.60 | NM_021297.2 |
Tlr6 | Toll-like receptor 6 | 81.70 | 45.6 | 1.2 | −1.8 | 0.26 | NM_011604.2 |
Tlr7 | Toll-like receptor 7 | 21.30 | 7.1 | 1.8 | 5.7 | 0.89 | NM_133211.3 |
Irak2 | Interleukin-1 receptor–associated kinase 2 | 2.40 | 1.9 | 1.7 | 0.7 | 0.37 | NM_172161.2 |
Raet1a | Retinoic acid early transcript 1, alpha | 9.10 | 12.1 | 0.1 | −5.2 | −3.70 | NM_009016.1 |
S100a8 | S100 calcium-binding protein A8 | 2.20 | 2.1 | 2.1 | 1.6 | 0.80 | NM_013650.2 |
Kng1 | Kininogen 1 | 3.60 | 17.2 | 2.2 | 2.3 | 1.70 | NM_023125.2 |
Kng2 | Kininogen 2 | 8.50 | 2.2 | 5.6 | 0.8 | 0.70 | NM_201375.1 |
Lbp | Lipopolysaccharide binding protein | 3.30 | 1.3 | 1.3 | 0.4 | 0.50 | NM_008489.2 |
Cd68 | CD68 antigen | 54.90 | 7.1 | 1.4 | 6.3 | 1.10 | NM_009853.1 |
Cell cycle and growth | |||||||
Fgf7 | Fibroblast growth factor 7 | 2.60 | 2.6 | 1.2 | 0.5 | −1.60 | NM_008008.3 |
Myc | Myelocytomatosis oncogene | 12.00 | 5.5 | 1.3 | −5 | 3.30 | NM_010849.4 |
Ereg | Epiregulin | 5.70 | 5.9 | 2.3 | −6.9 | −4.80 | NM_007950.1 |
Cdkn2a | Cyclin-dependent kinase inhibitor 2A | 17.90 | 18.9 | 1.1 | −3.3 | −2.60 | NM_009877.2 |
Fgfr2 | Fibroblast growth factor receptor 2 | 20.00 | 16.4 | 5.5 | 0.7 | 2.20 | NM_010207.2 |
Itm2b | Integral membrane protein 2B | 1.90 | 1.8 | 1.2 | −1.75 | 0.51 | NM_008410.2 |
Csf1r | Colony-stimulating factor 1 receptor | 13.90 | 16.1 | 2.3 | 1.7 | 2.60 | NM_001037859.2 |
Csf2 | Colony-stimulating factor 2 | 244.50 | 41.6 | 2.0 | 7.5 | 0.40 | NM_009969.4 |
Csf2ra | Colony-stimulating factor 2 receptor, alpha | 354.40 | 150.3 | 1.2 | 40.3 | 0.20 | NM_009970.1 |
Socs3 | Suppressor of cytokine signaling 3 | 2.70 | 1.6 | 1.1 | 1.4 | 0.90 | NM_007707.2 |
Cdkn1a | Cyclin-dependent kinase inhibitor 1A | 5.90 | 3.4 | 1.7 | 4.1 | 1.10 | NM_007669.2 |
Emr1 | EGF-like module containing, mucin-like, hormone receptor-like sequence 1 | 14.70 | 75.2 | 2.1 | 19.2 | 1.10 | NM_010130.1 |
Areg | Amphiregulin | 9.90 | 1.6 | 1.2 | 1.1 | 0.80 | NM_009704.3 |
Cell death and apoptosis | |||||||
Cideb | Cell death–inducing DNA fragmentation factor, alpha subunit-like effector B | 67.40 | 21.5 | 1.4 | −2.7 | 0.60 | NM_009894.2 |
Bcl2l14 | Bcl2-like protein14 | 29.70 | 30.2 | 1.5 | −25.6 | −4.00 | NM_025778.1 |
Bcl2a1c | B-cell leukemia/lymphoma 2–related protein A1c | 233.00 | 42.6 | 2.5 | −0.1 | 0.07 | NM_007535.2 |
Angiogenesis, invasion, and metastasis | |||||||
Pdgfc | Platelet-derived growth factor, C polypeptide | 29.40 | 18.3 | 1.8 | 9.4 | 1.20 | NM_019971.2 |
Vegfc | Vascular endothelial growth factor C | 2.30 | 2.7 | 1.4 | 2.1 | 1.60 | NM_009506.2 |
Hbegf | Heparin-binding EGF-like growth factor | 1.10 | 1.1 | 1.5 | 1.6 | 2.10 | NM_010415.1 |
Hif1a | Hypoxia inducible factor 1, alpha subunit | 23.60 | 17.4 | 6.6 | −41.7 | −6.50 | NM_010431.1 |
Icam1 | Intercellular adhesion molecule 1 | 6.80 | 4.5 | 3.4 | 2.1 | 0.80 | NM_010493.2 |
Pecam1 | Platelet/endothelial cell adhesion molecule 1 | 1.90 | 3.1 | 1.9 | 0.6 | 0.50 | NM_008816.2 |
Mmp2 | Matrix metallopeptidase 2 | 1.40 | 3.3 | 1.2 | 0.3 | 0.30 | NM_008610.2 |
Mmp12 | Matrix metallopeptidase 12 | 2,827.00 | 305.5 | 5.0 | 299.4 | 0.40 | NM_008605.3 |
Mmp14 | Matrix metallopeptidase 14 | 1.90 | 2.9 | 1.3 | 1.9 | 0.40 | NM_008608.2 |
Timp1 | Tissue inhibitor of metalloproteinase 1 | 9.30 | 17.4 | 1.4 | 2.4 | 1.20 | NM_011593 |
Nus1 | Nuclear undecaprenyl pyrophosphate synthase 1 homologue | 301.20 | 72.5 | 1.4 | 11.6 | 0.40 | NM_030250.1 |
Ang | Angiogenin | 2.50 | 1.9 | 1.5 | 0.8 | 0.70 | NM_007447.2 |
Tgfbr1 | Transforming growth factor, beta receptor I | 3.40 | 4.9 | 1.5 | 0.9 | 0.70 | NM_009370.2 |
Tgfbr2 | Transforming growth factor, beta receptor II | 2.40 | 2.2 | 2.2 | 0.5 | 0.90 | NM_009371.2 |
Lcn2 | Lipocalin 2 | 9.70 | 15.4 | 2.1 | 7.2 | 0.80 | NM_008491.1 |
Protein synthesis, turnover, and targeting | |||||||
Eif1a | Eukaryotic translation initiation factor 1A | 1.90 | 1.3 | 1.1 | 0.7 | 0.62 | NM_025437.4 |
Kras | v-Ki-ras2 Kirsten rat sarcoma viral oncogene homologue | 2.30 | 0.3 | 1.1 | 0.5 | 0.70 | NM_021284.4 |
Hras1 | Harvey rat sarcoma virus oncogene 1 | 1.80 | 1.9 | 1.2 | 1.8 | −0.08 | NM_008284.1 |
Nola2 | Nucleolar protein family A, member 2 | 2.10 | 1.8 | 1.8 | 0.8 | 0.50 | NM_026631.3 |
Nol5A | Nucleolar protein 5A | 56.70 | 7.6 | 2.3 | −1.8 | −0.57 | NM_024193.2 |
Nup62 | Nucleoporin 62 | 2.90 | 1.5 | 1.1 | 1.1 | 0.72 | NM_053074.1 |
Rasl11a | RAS-like, family 11, member A | 5.30 | 2.4 | 1.9 | 3 | 0.58 | NM_026864.1 |
Rhog | Ras homologue gene family, member G | 1.50 | 0.9 | 1.3 | 1.6 | 1.36 | NM_019566.3 |
Ctsc | Cathepsin C | 9.10 | 7.8 | 1.7 | 2.9 | 0.87 | NM_009982.2 |
Sdcbp2 | Syndecan-binding protein | 2.40 | 9.3 | 16.8 | 0.2 | -0.48 | NM_001098227.1 |
Morphogenesis | |||||||
Krt19 | Keratin 19 | 26.30 | 18.1 | 1.2 | 15.7 | 0.55 | NM_008471.2 |
Krt23 | Keratin 23 | 3.60 | 1.3 | 1.3 | 0.7 | 0.70 | NM_033373.1 |
Lamc2 | Laminin, gamma 2 | 30.10 | 67.2 | 1.9 | −13.7 | −0.50 | NM_008485.3 |
Sftpb | Surfactant-associated protein B | 3.40 | 1.3 | 1.5 | 0.9 | 0.40 | NM_147779.1 |
Transcription and chromatin structure | |||||||
Bhlhb8 | Basic helix-loop-helix domain containing, class B, 8 | 2.10 | 1.4 | 1.7 | 1.1 | 2.10 | NM_010800.3 |
Ddx39 | DEAD (Asp-Glu-Ala-Asp) box polypeptide 39 | 19.90 | 16.5 | 1.1 | 5.8 | 0.66 | NM_197982.2 |
Lmna | Lamin A | 9.10 | 5.8 | 1.1 | 2 | 0.80 | NM_019390.1 |
Pparg | Peroxisome proliferator-activated receptor gamma | 18.60 | 12.7 | 2.8 | 1.1 | 1.60 | NM_011146.2 |
Spib | Spi-B transcription factor (Spi-1/PU.1-related) | 18.40 | 35.9 | 1.0 | 13 | −4.80 | NM_019866.1 |
To validate the microarray data, we measured transcripts of some upregulated genes involved in inflammation and tumor promotion in the lungs of WT, CC-LR, and CC-LR exposed to NTHi or OVA mice by Quantitative RT-PCR (Fig. 3B). The results were in agreement with microarray data showing upregulation of these genes in response to NTHi.
Effect of IL-6 deletion on lung cancer promotion
In gene expression analysis of whole lung, CC-LR mice showed high expression of the IL-6 gene (14-fold) compared with WT mice (Table 2). Similarly, IL-6 protein levels were higher in BALF of CC-LR mice (61-fold) even in the absence of COPD-like airway inflammation (Table 1; ref. 10). Repetitive NTHi exposure further increased expression of the IL-6 gene (1.6-fold) in CC-LR mice (Table 1), whereas repetitive OVA exposure actually decreased IL-6 expression (3.9-fold; Table 1). This is consistent with our previous results that IL-6 protein levels were greatly increased in BALF after NTHi exposure (10). These findings prompted us to investigate the role of IL-6 in K-ras–induced intrinsic inflammation and cancer promotion by extrinsic COPD-like airway inflammation by crossing CC-LR mice with IL-6 KO mice and then exposing CC-LR and CC-LR/IL6 KO mice to the aerosolized NTHi lysate once weekly for 8 weeks from age 6 weeks. Surprisingly, lack of IL-6 did not change the BALF inflammatory cell profile of CC-LR mice at baseline or after inducing COPD-like inflammation (Fig. 4A). However, lack of IL-6 resulted in a 41% reduction in the number of grossly visible tumors on the lung surface compared with age- and sex-matched control CC-LR mice (26 ± 7 in CC-LR/IL6 KO vs. 44 ± 6 in CC-LR; Fig. 4B). In CC-LR mice exposed to weekly NTHi aerosol, IL-6 deficiency reduced the number of visible surface tumors by 62% (60 ± 2 in CC-LR/IL6 KO NTHi treated vs. 156 ± 9 in CC-LR NTHi treated; Fig. 4B). Histopathologic analysis showed that the lungs from CC-LR/IL6 KO mice had fewer and less extensive lesions of hyperplasia, atypical adenomatous hyperplasia, and neoplasia and a lower percentage of the total pulmonary parenchyma was affected in comparison with CC-LR mice in the presence and absence of NTHi-induced airway inflammation (Fig. 4C). The non–NTHi-treated CC-LR/IL6 KO mice (lower left panel) had fewer lesions of atypical adenomatous hyperplasia and neoplasia than non–NTHi-treated CC-LR mice (upper left panel). The NTHi treatment caused similarly severe inflammation (grade 4) in the lungs of CC-LR and CC-LR/IL6 KO mice, but the lesions of bronchiolar and alveolar hyperplasia, atypical adenomatous hyperplasia, and neoplasia were less extensive and less numerous in NTHi-treated CC-LR/IL6 KO mice (right lower panel) than the NTHi-treated CC-LR mice (right upper panel).
Role of IL-6 in tumor promotion. A, CC-LR and CC-LR/IL6 KO mice were exposed to a NTHi lysate aerosol starting at age 6 weeks weekly for 8 weeks. Total and lineage-specific leukocyte numbers in BALF 1 day after last NTHi aerosol exposure are shown (mean ± SE; *, P < 0.05 for CC-LR or CC-LR/IL6 KO with NTHi exposure vs. without NTHi exposure). B, lung surface tumor numbers in CC-LR and CC-LR/IL6 KO mice at age 14 weeks with or without 8 weekly NTHi aerosol exposures from age 6 weeks are shown (mean ± SE; *, P < 0.05 for CC-LR or CC-LR/IL6 KO with NTHi exposure vs. without NTHi exposure; #, P < 0.05 for CC-LR without NTHi exposure vs. CC-LR/IL6 KO without NTHi exposure or CC-LR with NTHi exposure vs. CC-LR/IL6 KO with NTHi exposure). C, CC-LR and CC-LR/IL6 KO mice were exposed weekly for 8 weeks to a NTHi aerosol and then sacrificed the first day after the last exposure and stained with H&E. Top two panels show H&E-stained sections from the lungs of CC-LR mice with or without repetitive NTHi aerosol exposure (2×; scale bar, 1mm). Bottom two panels show H&E-stained sections from the lungs of CC-LR/IL6 KO mice with or without repetitive OVA aerosol exposure (2×; scale bar, 1 mm).
Role of IL-6 in tumor promotion. A, CC-LR and CC-LR/IL6 KO mice were exposed to a NTHi lysate aerosol starting at age 6 weeks weekly for 8 weeks. Total and lineage-specific leukocyte numbers in BALF 1 day after last NTHi aerosol exposure are shown (mean ± SE; *, P < 0.05 for CC-LR or CC-LR/IL6 KO with NTHi exposure vs. without NTHi exposure). B, lung surface tumor numbers in CC-LR and CC-LR/IL6 KO mice at age 14 weeks with or without 8 weekly NTHi aerosol exposures from age 6 weeks are shown (mean ± SE; *, P < 0.05 for CC-LR or CC-LR/IL6 KO with NTHi exposure vs. without NTHi exposure; #, P < 0.05 for CC-LR without NTHi exposure vs. CC-LR/IL6 KO without NTHi exposure or CC-LR with NTHi exposure vs. CC-LR/IL6 KO with NTHi exposure). C, CC-LR and CC-LR/IL6 KO mice were exposed weekly for 8 weeks to a NTHi aerosol and then sacrificed the first day after the last exposure and stained with H&E. Top two panels show H&E-stained sections from the lungs of CC-LR mice with or without repetitive NTHi aerosol exposure (2×; scale bar, 1mm). Bottom two panels show H&E-stained sections from the lungs of CC-LR/IL6 KO mice with or without repetitive OVA aerosol exposure (2×; scale bar, 1 mm).
Discussion
The likelihood of developing lung cancer within 10 years is 3-fold greater in patients with mild to moderate COPD and 10-fold greater in patients with severe COPD than smokers with normal lung function (37). COPD is thought to be caused by the lung parenchymal response to inflammation from cigarette smoke and from bacterial colonization of smoke-injured airways (8, 38). We previously showed the role of COPD-like inflammation in promotion of lung carcinogenesis in a K-ras–induced mouse model of lung cancer (10). In contrast, there is no definite epidemiologic association between allergic type airway inflammation and lung cancer, with most studies leaning toward a protective or neutral role for this type of inflammation in cancer promotion (17–21). In this study, we have shown the neutral role of asthma-like (Th2-mediated) airway inflammation in lung cancer promotion in mice. In parallel to our findings, Doris et al. found that OVA-induced allergic inflammation does not impact chemical-induced carcinogenesis of the mouse airway (39).
Traditionally, Th1 cells are considered to facilitate tissue destruction and tumor rejection by providing help to cytotoxic CD8+ T cells, whereas Th2 cells are considered to induce antibody production by B cells and polarize immunity away from an antitumor response (40). Consistent with this, allergen-induced pulmonary inflammation resulted in a more than 3-fold increase in lung metastases of intravenously injected melanoma cells in mice (41). This was dependent on CD4+ T-cell activities but independent of the induced eosinophilia. Recently, an indirect role for IL-4–expressing CD4+ T lymphocytes (Th2 cells) in invasion and subsequent metastasis of mammary adenocarcinomas has been reported (42). Th2 cells enhanced metastasis by directly enhancing tumor-promoting properties of tumor-associated macrophages (TAM) and subsequent activation of epidermal growth factor receptor signaling in malignant mammary epithelial cells. Furthermore, in a different study, lack of IL-4Rα resulted in smaller tumor size but no change in tumor multiplicity after urethane injection due to inhibition of the tumor-promoting phenotype of TAMs (36). While these studies showed an indirect role for Th2 cells in promoting lung metastasis and of IL-4 in the size of metastases, there is no evidence of a direct promoting role for this type of immune response on primary cancer in any organ, including the lung, of which we are aware.
Using microarray analysis of the lungs from WT and CC-LR mice and its validation by Quantitative RT-PCR, we identified many genes with increased transcript levels after chronic NTHi exposure but not after chronic OVA exposure. The majority of upregulated genes in the lungs of NTHi-exposed mice were genes involved in inflammation and immune responses (Fig. 3 and Table 2). The remainder includes genes involved in cell growth, proliferation, invasion, angiogenesis, and metastasis. Therefore, we propose that NTHi, but not OVA, causes a specific inflammatory and innate immune response in the lungs of tumor-bearing mice by upregulating genes involved in the recruitment of inflammatory cells including neutrophils, macrophages, and adaptive immune cells (probably Th17 cells), and activating immune regulatory pathways (NF-κB and STAT3 pathways) in lung epithelial cells that results in proliferation, angiogenesis, invasion, and metastasis (see later).
Among the upregulated inflammatory genes, IL-6 showed a very high expression level in BALF (7, 10) and lung tissue (Table 2) after NTHi exposure in WT and CC-LR mice, whereas it decreased after OVA exposure (Table 1). BALF of CC-LR mice showed a high level of IL-6 even without NTHi exposure, which was actually suppressed by OVA exposure (Table 1). The IL-6 pathway has been found to be one of the mechanisms linking inflammation to cancer (43). Ras activation induces the secretion of IL-6 in different cell types, and knockdown of IL-6, genetic ablation of the IL-6 gene, or treatment with a neutralizing IL-6 antibody all retard Ras-driven tumorigenesis in vitro (25). IL-6 seems to act in a paracrine fashion to promote angiogenesis and tumor growth. It has also been found that IL-6 is a critical tumor promoter during early colitis-associated cancer (27). It is produced by lamina propria myeloid cells and protects normal and premalignant intestinal epithelial cells from apoptosis. We show here an essential role for IL-6 in Ras-induced lung cancer development and its promotion by extrinsic COPD-like inflammation, using genetic deletion of IL-6 in CC-LR mice (Fig. 4).
The proliferative and survival effects of IL-6 on epithelial cells are mediated by STAT3 (27). Persistently activated STAT3 increases tumor cell proliferation, survival, angiogenesis, and invasion (23, 44). Overexpression of STAT3 in alveolar type II epithelial cells of mice leads to severe pulmonary inflammation and spontaneous bronchoalveolar adenocarcinoma (45). Activated STAT3 also mediates tumor-promoting inflammation by activating pro-oncogenic inflammatory pathways including NF-κB (44, 46), which is constitutively active in COPD patients (46), smokers (48), and lung tumor patients (49), in whom it upregulates antiapoptotic and other oncogenic genes (50). Overexpression of the RelA subunit of the NF-κB complex in the lung yields increased alveolar type I and type II cells through decreased apoptosis of epithelial cells (51). It has been also shown that tobacco smoke promotes lung tumorigenesis by triggering IKKβ-dependent inflammation (52) and NF-κB inhibition in the lungs suppresses airway inflammation (53–56) and urethane-induced lung cancer (57).
Maintenance of NF-κB activity in tumors requires STAT3. STAT3-mediated maintenance of NF-κB activity occurs in both cancer cells and tumor-associated hematopoietic cells (58). We have also found significant activation of STAT3 and NF-κB pathways in the CC-LR model after inducing COPD-like inflammation (Fig. 3A and Table 2). IL-13 contributes to asthma by activating epithelial cell STAT6 (59). Among Th2 cytokines, IL-13 seems to be both necessary and sufficient, because blockade of IL-13 markedly inhibits allergen-induced airway hyperresponsiveness (AHR), mucus production, and eosinophilia (60, 61), and IL-13 delivery to the lung or transgenic IL-13 overexpression in the airway epithelium causes all of these effects (60–62). Mice lacking STAT6 are protected from all pulmonary effects of IL-13, and reconstitution of STAT6 only in epithelial cells is sufficient for IL-13–induced AHR and mucus production (59). These data further explain the differential effects of asthma-type airway inflammation on lung cancer promotion compared with COPD-like airway inflammation.
In addition to their role in extracellular matrix turnover and cancer cell migration, matrix metalloproteinases (MMP) regulate the tumor microenvironment through signaling pathways that control cell growth, inflammation, or angiogenesis (63). They modulate the function of cytokines and chemokines, which can promote cancer cell survival in a NF-κB–dependent manner. Among MMPs, MMP-12 plays a critical role in smoking-induced COPD (64) and its expression correlates with early cancer-related deaths in non–small cell lung carcinoma (65). Furthermore, overexpression of MMP-12 in lung epithelial cells led to inflammatory cell infiltration, increased epithelial growth, spontaneous emphysema, and bronchioalveolar adenocarcinoma (66). This was associated with increased level of IL-6 in BALF, which activated STAT3 in alveolar type II epithelial cells and increased expression of its downstream genes in the lung. We have also found upregulation of MMPs, especially MMP-12, in lung tissue with NTHi-induced COPD-like inflammation (Fig. 3B and Table 2), further confirming a role for the IL-6/STAT3 pathway through MMPs in the promotion of lung cancer by COPD-like inflammation.
New evidence also points at the IL-6/STAT3 pathway as one of the pathways coordinating the interface between adaptive and innate immunity (43), probably by inducing a protumor Th17 response (67) and opposing STAT1-mediated Th1 antitumor immune responses (44, 46). Th17 cells produce IL-17, which induces more production of IL-6 by epithelial cells and fibroblasts, which, in turn, activates STAT3, upregulating prosurvival and proangiogenic genes (67–69). We have also found increased numbers of Th17 cells and elevated IL-17 levels in response to NTHi in the lung (data not shown), indicating a skewed adaptive immune response toward a protumor Th17 response (manuscript in preparation).
In conclusion, we propose that exposure of the airway to smoke particulates and microbial products contribute to COPD-like lung inflammation and lung cancer promotion. This is mediated by release of IL-6 and other inflammatory cytokines such as TNF from epithelial and innate immune cells secondary to NF-κB activation, which, in turn, further activates the STAT3 and NF-κB pathways in airway epithelium. STAT3 and NF-κB cooperate to activate prosurvival, antiapoptotic, and proangiogenic signals that are accompanied by skewing toward a protumoral adaptive immune response (Th17 response). Full elucidation of this model will provide the basis for testing of the efficacy of rationally directed anti-inflammatory therapies in preventing carcinogenesis in patients at high risk for tumor development on the basis of inflammation related to COPD.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Acknowledgments
We thank Derek Larson, Angelito P. De Villa, and Blaga Iankova for their technical assistance in the completion of this project.
Grant Support
This work was supported by grant (UO1 CA105352) from the National Cancer Institute and (LCD-114696-N) from the American Lung Association/LUNGevity Foundation.
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