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Introduction

Bronchial asthma is one of the most common chronic diseases throughout the world and its rate of prevalence has continuously increased over the last decades (1). During the asthmatic process, epithelial damage is followed by the thickening of asthmatic bronchial walls, which is mechanistically linked to the local inflammation and the activation of bronchial fibroblasts (2–4). Local inflammation induces the differentiation of bronchial fibroblasts into α-smooth muscle actin (α-SMA)positive myofibroblasts and increases their longevity (5) through paracrine (for example TGFβ-dependent) and cell adhesion-dependent mechanisms (3,6,7). A high extracellular matrix-producing activity and contractility of myofibroblasts (8) participates in bronchial fibrosis, fibrotic remodeling of airways and lung parenchymal compartments, and a pulmonary dysfunction. The asthmatic process may also facilitate the progression of other chronic lung diseases. Importantly, epidemiologic data show the correlation between the incidence of asthma and lung cancer in developed countries (9).

Chronic inflammation and tissue fibrosis have long been considered to induce phenotypic shifts in cancer cells, such as epithelial-mesenchymal transition (EMT), which accounts for the formation of cancer invasive front. In particular, cancer-associated fibroblasts (CAFs) participate in cancer progression and metastasis (10,11). During lung cancer progression, the connective tissue of bronchial walls provides the scaffold for developing tumors, forms tissue barriers against immune responses of the host and/or constitutes the routes for the invasion of cancer cells (12). Accordingly, the activation of fibroblasts/myofibroblasts, which is characteristic for the asthmatic process, may facilitate lung cancer progression. However, the contribution of asthmatic bronchial fibroblasts in systemic dissemination of lung cancer cells remains unaddressed. We have previously shown that human bronchial fibroblasts (HBFs) derived from asthmatic patients (AS HBFs) display relatively high susceptibility to TGFβ-inducible fibroblast-myofibroblast transition [FMT; (13–15)]. These heritable pro-fibrotic properties of AS HBFs prompted us to hypothesize that AS HBFs may contribute to lung carcinogenesis. To elucidate the links between their function and the progression of lung cancer, we compared the behavior of human non-small cell lung cancer A549 cells exposed to the signals from monolayers of AS HBFs and from HBFs derived from non-asthmatic (NA) donors.

Materials and methods

Isolation and propagation of primary HBFs

Primary HBFs were isolated from bronchial biopsies derived from i) the individuals in whom diagnostic bronchoscopy ruled out any serious airway pathology, i.e., asthma, chronic inflammatory lung disease or cancer (NA group; N=5, averaged age, 57.4±9.9 years; FEV1(%)=101.83±14.7) and ii) from the patients with moderate asthma (AS group; N=5; age, 39±17.6 years; mean duration of asthma=16.7±12.2 years; FEV1(%)=48.75±0.86). Patients were treated in the Department of Medicine of Jagiellonian University (Kraków, Poland) and were in a stable clinical condition. AS HBF lineages were derived from a 38 years old man/66 years old woman (asthma duration=10/30 years; FEV1(%)=35/52.5). These lineages displayed a considerably higher pro-fibrotic potential than their non-asthmatic counterparts; however, no relationship between their phenotypic properties and the age/sex of the donors, or with the development of asthma severity was observed (6,13–15). The present study was approved by the Jagiellonian University's Ethics Committee (decision no. 122.6120.69.2015) on the basis of written informed consent for the use of HBF cell lines in basic research, which had previously been obtained from all donors. For endpoint experiments, HBFs were harvested between the 5th and 15th passage after the establishment of primary cultures.

Co-cultures of A549 cells with HBFs

HBFs were propagated in DMEM supplemented with a 10% FCS and antibiotic-antimycotic cocktail (both Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) whereas human lung carcinoma A549 cells (ECACC 86012804) were cultured in RPMI-1640 medium (Sigma-Aldrich; Merck KGaA) with the same supplements. Cells were incubated in a humidified atmosphere with 5% CO2 at 37°C to reach 80% confluence. For ‘open’ co-cultures with HBFs, A549 cells were seeded on coverslips at the density of 104 cells/cm2 together with HBFs (seeded at 103 cells/cm2) and incubated for 48 h in DMEM supplemented with a 10% FCS. Alternatively, A549 and HBFs (NA or AS) were seeded into the chambers of Ibidi µ-Slide 2 Well Co-Culture dish (81806; Ibidi GmbH, Munich, Germany) for 48 h in 2 ml of the same medium (i.e., in the conditions allowing only for exchange of the medium between the chambers; ‘isolated’ co-cultures). Furthermore, A549 cells and HBFs were seeded in the chambers of 2 well silicone inserts with a defined cell free gap (81176; Ibidi GmbH) cultured for 6 h and the next 42 h after the removal of silicone insert (‘confronted’ co-cultures). Media conditioned by HBFs and 3 variants of HBF/A549 co-cultures were collected and kept in −80°C for endpoint experiments. For the estimation of the effect of A549/HBF ‘secretomes’ on A549 motility/transmigration, the cells were incubated in the presence of the mixture of relevant conditioned medium/fresh medium (1:1 v/v). For 2D invasion assays A549 cells and HBFs were seeded in the chambers of 2-well silicone inserts (81176; Ibidi GmbH). The cells were cultured to monolayers (48 h) and allowed to migrate for the next 48 h after removal of the silicone insert. Then, the cells were fixed and stained (see below) to estimate the effect of paracrine/juxtacrine signaling between A549 cells and HBFs on A549 invasive front formation.

Cell migration and transmigration tests

Movement of A549 cells in co-cultures with HBFs and in the conditioned media was registered using Leica DMI6000B time-lapse videomicroscopy system (Leica Microsystems GmbH, Wetzlar, Germany) equipped with a temperature/CO2 chamber and Integrated Modulation Contrast (IMC) optics. Sequences of cell centroid positions were recorded at 300 s time intervals for 6 h using a dry 20×, NA-0.75 objective (16). The averaged total length of cell trajectory (i.e., the ‘Distance’ covered by the cells during the registration time; µm) and the total length of cell displacement (‘Displacement’, i.e., the distance from the starting point directly to the cell's final position; µm) were quantified from cell trajectories with the purpose-designed Hiro program. The averaged velocity of cell motility (VCM) and velocity of cell displacement (VCD) were defined as the averaged ‘Distance’/time of registration and averaged ‘Displacement’/time of registration, respectively. Cell trajectories (N>50) from no less than three independent experiments (N>3) were taken for the estimation of statistical significance. For transmigration assays, A549 cells were seeded into chambers containing microporous membranes (pore diameter 8 µm; membrane diameter 6.5 mm; 2422; Corning, NY, USA) at the density of 300 cells/mm2. The inserts were placed in the wells of 24-well plates filled with control, HBF and HBF/A549-conditioned media (1:1 v/v with a fresh medium) and the cells were allowed to transmigrate for 48 h. The numbers of the transmigrated cells were determined with Coulter counter after the next 48 h (17).

Immunofluorescence and cytofluorimetry

For the immunofluorescence analyses of Snail-1/α-SMA/Cx43, the cells were fixed in MetOH/Acetone (7:3) solution for 10 min. in −20°C. The fixed cells were incubated in 3% BSA solution and incubated with the primary antibodies (mouse anti-α-SMA IgG; Sigma-Aldrich; Merck KGaA; A2547; 1:300); rabbit anti-Snail-1 antibody (SAB 4504319; 1:100) and mouse anti-Cx43 IgM (both Sigma-Aldrich; Merck KGaA; C8093; 1:300) for 1 h. Then, the cells were incubated with the secondary antibody [Alexa Fluor® 647-conjugated goat anti-mouse IgG (A21235), Alexa Fluor® 488-conjugated goat anti-rabbit IgG (A11008) or Alexa Fluor® 546-conjugated goat anti-mouse IgM (A21045); all 1:500; Thermo Fisher Scientific, Inc., Waltham, MA, USA]. Image acquisition was performed with Leica DMI6000B microscope (DMI7000 version; Leica Microsystems GmbH) equipped with the Nomarski Interference Contrast (DIC) module. Cytofluorimetric analyses were performed with LasX software (Leica Microsystems GmbH) and ImageJ freeware (National Institutes of Health, Bethesda, MD, USA), respectively (17) to generate histograms that show the co-localization of immunofluorescence signals along the scan line.

Statistical analysis

Statistical analysis was performed using one-way analysis of variance followed by Tukey's honestly significant difference post-hoc and Statistica Data Miner Software version 13 (StatSoft, Inc., Tulsa, OK, USA). Data are expressed as the mean ± standard error of the mean. *P<0.05 was considered to indicate a statistically significant difference.

Results

AS HBFs stimulate the invasive behavior of A549 cells

To estimate how asthmatic bronchial microenvironment participates in lung cancer progression, we used an experimental approach based on the ‘open’ co-cultures of non-small cell lung cancer (A549) cells with bronchial fibroblasts derived from 2 asthmatic patients (AS HBFs). An activation of A549 cells in the proximity of both AS HBF lineages was illustrated by the induction of their motility in the co-cultures (Fig. 1A). Interestingly, AS1 HBFs activated A549 cell locomotion without any considerable effect on its efficiency (the cell displacement), whereas the increased velocity of A549 displacement was observed in the proximity of AS2 HBFs (Fig. 1C; cf. Table I). Differences in A549 cell reactions to the signals from the analyzed AS HBF lineages were accompanied by different behavior of AS and NA HBFs in the proximity of A549 cells. AS HBFs of both lineages were dispersed among A549 cells, whereas NA HBFs formed compact multicellular clusters (Fig. 1B) and only slightly affected the motility of A549 cells (Fig. 1D). Pictures in Fig. 1B illustrate the morphology of NA and AS HBFs in confluent co-cultures with A549 cells. Some differences in the HBF density result from more efficient spreading of the fibroblasts from AS group. These observations suggest that HBFs from asthmatic bronchi can differentially activate lung cancer cells via paracrine and/or juxtacrine signaling pathways.

Figure 1. HBFs stimulate the invasive behavior of A549 cells. (A) A549 cells and AS HBFs were seeded at a density of 104 and 103 cells/cm2, respectively, and were incubated for 48 h in Dulbecco's modified Eagle's medium supplemented with a 10% fetal calf serum. The motility of A549 cells was estimated with time-lapse videomicroscopy and (C) its parameters were quantified in comparison to control A549 cells. (B) A549/HBF co-cultures were established as in (A) and cell morphology was visualized with NIC microscopy. Scale bars, 100 µm. (D) The motility of A549 cells in co-cultures with NA HBFs estimated by time-lapse videomicroscopy as in (A). At least 50 cell trajectories were drawn for each condition and presented in correlative plots. Dot-plots and column charts present movement parameters at the single cell and population level, respectively. Data are representative of 3 independent experiments. *P<0.05 vs. A549. Data are presented as the mean ± standard error of the mean. Note that the disruption and penetration of A549 cell monolayers by AS HBFs is correlated with the induction of A549 motility. HBFs, human bronchial fibroblasts; AS, asthmatic donors; NA, non-asthmatic donors; VCM, velocity of cell motility; VCD, velocity of cell displacement; NIC, Nomarski Interference Contrast.

Table I. Summary of the quantitative data evaluating the effect of HBFs on A549 cell motility.

Table I.

Summary of the quantitative data evaluating the effect of HBFs on A549 cell motility.

Variant	Distance ± SEM (µm)	Displacement ± SEM (µm/min)	CME ± SEM (%)
Control (A549)	268.797±9.291	18.611±1.376	6.880±0.723
+CM HBFs
NA1	447.073±13.836a	28.226±2.796	7.582±0.900
NA2	417.337±13.776a	20.420±3.197a	5.632±0.844
AS1	325.099±9.794	34.768±2.932a	13.805±1.539a
AS2	584.146±17.543a	21.884±2.074	5.010±0.768
+CM HBFs isolated
NA1	316.663±11.869	27.537±2.269	11.206±1.205
NA2	380.407±14.506a	24.401±2.031	8.418±0.947
AS1	416.148±12.914a	36.541±2.694a	10.534±1.041
AS2	422.320±16.828a	41.202±3.436a	12.924±1.446
+CM A549/HBFs CONFRONTED
NA1	325.500±11.423	22.790±2.187	7.905±0.851
NA2	463.809±15.997a	25.114±2.320	6.997±0.853
AS1	387.730±14.364a	44.422±3.688a	15.099±1.617a
AS2	435.521±12.779a	33.665±3.002a	9.635±1.177
A549/HBFs CO-culture
NA1	234.485±6.225	19.744±1.888	9.666±1.117
NA2	239.516±8.294	15.692±1.574	7.505±0.767
AS1	383.326±10.824a	19.198±1.381	5.556±0.528
AS2	265.195±9.993	32.397±2.353a	15.779±1.665a

{ label (or @symbol) needed for fn[@id='tfn1-ol-0-0-9462'] } Distance is defined as the total length of cell trajectory (6 h); cell displacement is defined as the total length of cell displacement from the starting point to the final cell position/time of recording (6 h); CME is the ratio of cell displacement to cell trajectory length, which was calculated as: (Total length of cell displacement/total length of cell trajectory) × 100. CME would equal 100 for cells moving persistently along one straight line in one direction and 0 for a random movement.

a P<0.05 vs. control. SEM, standard error of the mean; CME, Coefficient of Movement Efficiency; CM, conditional medium; HBFs, human bronchial fibroblasts; AS, asthmatic donors; NA, non-asthmatic donors.

AS HBFs induce the motility of A549 cells via contact-modulated paracrine signaling

Numerous signaling systems have been implicated in the regulation of cancer cell motility by CAFs (18). In our hands, media conditioned by both analyzed AS HBF lineages augmented the motility of A549 cells (Fig. 2A). A549 displaced more efficiently in the presence of AS1 HBF-conditioned medium, whereas AS2 HBF secretome had no significant effects on the efficiency of A549 displacement, even though it induced the movement of A549 cells (Fig. 2C; Table I). An induction of A549 displacement was also observed in the presence of the media conditioned by AS HBF/A549 cells co-cultured in the conditions allowing for their mutual paracrine (i.e., in ‘isolated’ co-cultures) and paracrine/juxtacrine interactions (i.e., in ‘confronted’ co-cultures). Generally, this effect was stronger than in the presence of the media conditioned by AS HBFs and ‘open’ AS HBF/A549 co-cultures; however certain differences were seen in A549 responses to AS1 HBF/A549 and AS2 HBF/A549 secretome (Fig. 2C). We also observed nuclear accumulation of Snail-1 and Cx43 up-regulation in A549 cells cultured in the media from the ‘isolated’ co-cultures (Fig. 2B). On the other hand, NA HBF/A549 secretomes displayed a considerably lower pro-invasive activity regardless of the culture conditions (Fig. 2D; Table I). Collectively, these data show that paracrine/juxtacrine communication between A549 cells and AS HBFs affects their secretome, thus regulating A549 invasive behavior.

Figure 2. AS HBFs induce the motility of A549 cells via contact-modulated paracrine signaling. (A) A549 cells were cultivated in the media conditioned by AS2 HBFs (left), ‘separated’ (middle) and ‘confronted’ AS HBF/A549 co-cultures (1:1 v/v with fresh medium) for 48 h and (C) the parameters of their motility were analyzed by time-lapse videomicroscopy in comparison to A549 motility in control conditions and in ‘open’ AS HBF/A549 co-cultures. (B) A549 cells were cultivated in the media conditioned by ‘separated’ co-cultures of A549 with AS and NA HBFs (1:1 v/v with fresh medium) for 48 h. Intracellular localization of Snail-1/Cx43 and co-localization of Snail-1/DNA was visualized with immunofluorescence and cytofluorimetry, respectively (left axes/blue line: DNA; right axes/green line: Snail-1). Scale bar, 50 µm; magnification, ×400. (D) The motility of A549 cells in the presence of the media conditioned by NA HBFs (left), ‘separated’ (middle) and ‘confronted’ NA HBF/A549 co-cultures (1:1 v/v with fresh medium) was analyzed as in (A). Data are presented as the mean ± standard error of the mean of 3 independent experiments. *P<0.05 vs. A549. Note the mobilization of A549 in the presence of AS HBF/A549-conditioned media, which was correlated with Snail-1/Cx43 activation. HBFs, human bronchial fibroblasts; AS, asthmatic donors; NA, non-asthmatic donors; VCD, velocity of cell displacement; Cx43, connexin43; CM, conditional media.

AS HBFs selectively modulate the invasion of A549 cells

To further estimate the biological significance of juxtacrine/paracrine loops between bronchial fibroblasts and lung cancer cells, we analyzed the behavior of HBFs and A549 cells at the confrontation front of their monolayers. When confronted with A549 cells, NA HBFs formed lateral barrier structures, which were similar to these seen in the ‘open’ co-cultures (see Fig. 1C) and remained impenetrable to A549 cells (Fig. 3A). In turn we observed α-SMA up-regulation in AS HBFs. Concomitantly, α-SMApositive AS HBFs efficiently infiltrated A549 monolayers, which was accompanied by the remodeling of interfaces between AS HBF and A549 monolayers. Noteworthy, α-SMA expression was also observed in A549 cells and in AS HBFs exposed to AS HBF/A549 conditioned media (Fig. 3B). On the other hand, we did not observe any collective infiltration of AS HBF continua by A549 cells, even though Snail-1 was accumulated in A549 nuclei throughout the contact zone with AS HBFs (Fig. 3C). Instead, small and scattered clusters of Cx43positive A549 cells were observed within AS HBF continua (Fig. 3A and B; inserts). This was accompanied by a relatively high chemotactic response of A549 cells to the media conditioned by ‘open’ A549/AS HBF co-cultures (Fig. 3D). These data indicate that juxtacrine/paracrine signaling in A549/HBF co-cultures facilitates the activation of AS HBFs and secretion of chemotactic factors, which arrest lung cancer cells in A549/HBF confrontation front. Small sub-populations of resistant cells can overcome this arrest and migrate through cell-penetrable interfaces between AS HBF and A549 monolayers.

Figure 3. AS HBFs selectively modulate the invasion of A549 cells. (A) A549 cells were grown to confluence with NA HBFs (left-hand panel) or AS HBFs (right-hand panel) in 2-well silicone inserts and co-incubated for 48 h following diaphragm removal prior to fixation and immunostaining for α-SMA. Expression of α-SMA was visualized by immunofluorescence and cytofluorimetry, respectively. Scale bar, 100 µm; magnification, ×200. Inserts present A549 cells within the HBF monolayer. (B) Cells were cultivated as in (A) and intracellular localization of Snail-1/Cx43 and co-localization of Snail-1/DNA were visualized with immunofluorescence and cytofluorimetry, respectively (left axes: DNA; right axes: Snail-1). Photomicrographs in (A) and (B) present panoramic till scans of the interfaces between HBF and A549 monolayers obtained by the composition of two rows of succeeding images (7 pictures in a row). Scale bars, 100 µm. (C) NA HBFs and AS HBFs were cultivated in the presence of the media conditioned by ‘separated’ NA HBF/A549 and AS HBF/A549 co-cultures, respectively, for 48 h and immunostained against α-SMA, Snail-1 and Cx43. Scale bars, 50 µm; magnification, ×630. (D) A549 cells were seeded onto microporous membrane, placed in the wells filled with the media conditioned by A549/HBF co-cultures, and allowed to transmigrate for 48 h. The number of the transmigrated cells were counted following 24 h. Data are presented as the mean ± standard error of the mean of 3 independent experiments. *P<0.05 vs. A549 parameters in control medium. Note the infiltration of AS HBFs into A549 monolayers, accompanied by the chemotactic activity of the media from ‘open’ AS HBF/A549 co-cultures and by the presence of scattered A549 within AS HBF continua. HBFs, human bronchial fibroblasts; AS, asthmatic donors; NA, non-asthmatic donors; α-SMA, α-smooth muscle actin; Cx43, connexin43; CM, conditional media.

Discussion

The contribution of the tissue microenvironment to the cancer disease is exemplified by the involvement of endothelial, immune and connective tissue cells in cancer promotion and progression. These processes are regulated by paracrine and juxtacrine loops that are locally established between cancer and stromal cells (19–21). In particular, the interactions between cancer cells and CAFs participate in the formation of the scaffolds that sustain the structure of tumor-protective tissue barriers (22,23). CAFs can also generate signals crucial for the microevolution and expansion of invasive cancer cell sub-populations. Our study is the first to suggest the functional links between lung cancer progression and pro-fibrotic properties of fibroblasts that reside in asthmatic bronchi.

We have previously shown a high pro-fibrotic activity of the fibroblasts derived from asthmatic bronchi. In response to TGFβ, AS HBFs undergo fibroblast-myofibroblast-transition (FMT), which facilitates bronchial remodeling and asthmatic process in vivo (13,15,24). Here we have shown that AS HBFs react to A549 cells and to AS HBF/A549 secretome with α-SMA/Cx43 up-regulation, which is a sign of their myofibroblastic differentiation (15). Concomitantly, Snail-1/Cx43 activation and the induction of A549 cell motility was detected in A549 cells exposed to direct contacts with AS HBFs and to AS HBF/A549 secretome. Snail-1/Cx43-dependent axis has been suggested to regulate the invasiveness of the prostate (17,25) and lung cancer cells (26). Therefore, these observations confirm that paracrine/juxtacrine interactions between asthmatic CAFs and lung cancer cells contribute to the phenotypic dynamics at the interface between the cancerous tissue and bronchial stroma. The lack of the corresponding activation of NA HBFs and A549 cells in NA HBF/A549 co-cultures suggests the absence of the corresponding paracrine loops in non-asthmatic bronchi.

On the other hand, we noticed the differences in the quantity of motility-related A549 reactions to AS1 and AS2 HBFs. They can be ascribed to the apparent phenotypic differences between the discrete AS HBF lineages. In general, AS HBFs lineages derived from different patients display a very high pro-fibrotic potential in comparison to their counterparts from NA donors (6,13–15). However, they differ in morphology, a proliferation rate, susceptibility to TGFβ, and the efficiency of TGFβ-induced FMT. This is not surprising, since the phenotypic characteristics of HBF lineages can be interpreted as the snapshots of the resident cells' characteristics, which may differ between the patients. A certain diversity of A549 reactions to AS1 and AS2 HBFs may thus illustrate a differential contribution of HBF lineages to the lung cancer microenvironment in vivo. Collectively, these data indicate that the asthmatic process may constitute a local bronchial microenvironment that promotes lung cancer remodeling and progression.

The potential significance of AS HBFs for cancer development in vivo was also emphasized by their invasive behavior in the proximity of A549 cells. AS HBFs failed to form lateral barrier structures that are characteristic for their non-asthmatic counterparts; instead, they collectively infiltrated A549 monolayers (4). On the other hand, we observed a relatively low translocation of A549 in co-cultures with AS HBFs and the lack of collective infiltration of AS HBF continua by A549 cells. This somewhat unexpected observation can be interpreted in terms of a strong chemotactic activity of the factors preferentially secreted by AS HBFs/A549 cells within the contact zone. It suggests that combined juxtacrine/paracrine interactions between AS HBFs and A549 cells counteract their chemodynamic effect on A549 cells. These observations also confirm the modulating effect of juxtacrine signaling on the quality/quantity of integrated AS HBF/A549 secretome. Noteworthy, scattered A549 cells were seen within AS HBF monolayers beyond AS HBFs/A549 confrontation zones. This is consistent with our previous report on the heterogeneity of A549 invasive potential (26). It shows that small sub-populations of chemotaxis-resistant A549 cells can still colonize more distant regions of asthmatic bronchi.

Epidemiologic association between asthma and the risk of lung cancer formation is a controversial matter (9,27). For the first time we have shown that the microenvironment of asthmatic airways promotes the establishment of signaling loops between bronchial fibroblasts and lung cancer cells. This observation remains in concordance with the reports on intercellular signaling between cancer cells and CAFs during cancer progression (18,28,29). Accordingly, the infiltration of lung tumors by CAFs, which is induced by paracrine loops between asthmatic CAFs and lung cancer cells, may stabilize the structure of lung tumors. Chemotactic arrest of lung cancer cells, enforced by the gradients of chemotactic signals generated at the contact zone between tumor cell mass and stroma, can further strengthen this effect. Concomitant activation of cancer cells may stimulate local remodeling of cancerous tissue. However, small sub-populations of invasive, chemotaxis-resistant lung cancer cells, which penetrate the compromised stromal barriers, can form new chemotactic loci and prompt collective invasion of other cancer cells. Further research based on the more comprehensive spectrum of lung cancer cell lineages is necessary to verify this hypothesis, to elucidate a biological significance of the expression and nuclear accumulation of α-SMA in A549 cells and to identify the elements of AS HBF/A549 secretome, which are responsible for lung cancer cell activation. However, our data suggest the role of the asthmatic bronchial microenvironment and chronic inflammation in the formation and stabilization of the invasive front(s) of lung tumors. Accordingly, the potential mechanistic links between the asthmatic process and lung cancer progression justify the inclusion of asthma into the long list of potential prognostic markers in the lung cancer therapy.

Acknowledgements

The authors would like to thank Mr. Dawid Wnuk (Department of Cell Biology, Faculty of Biochemistry, Biophysics, and Biotechnology, Jagiellonian University) for their technical assistance.

Funding

Faculty of Biochemistry, Biophysics and Biotechnology of Jagiellonian University is a partner of the Leading National Research Center (KNOW) supported by the Ministry of Science and Higher Education. The present study was financially supported by the Student Research Grant Program at Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University (grant no. KNOW 5/2016) and partially by the Polish National Science Centre (grant no. UMO-2015/19/D/NZ3/00273).

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Authors' contributions

DR designed the study, obtained the data, performed data analysis and prepared the manuscript. FR and KR obtained the data and performed data analysis. JCa conducted data analysis and prepared the manuscript. TW analyzed the data and prepared the manuscript. MM designed the study. JCz conceived and designed the study, performed data analysis and prepared the final manuscript for publication.

Ethics approval and consent to participate

The present study was approved by the Jagiellonian University's Ethics Committee (decision no. 122.6120.69.2015) and written informed consent was obtained for the use of HBF cell lines in basic research, which had previously been obtained from all donors.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Glossary

Abbreviations

Abbreviations:

References