Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Functional analysis of a lung cancer risk haplotype in the IL1B gene regulatory region

Abstract

Interleukin-1β (IL-1β), encoded by the IL1B gene, is a cytokine important in regulation of the inflammatory response. Elevated levels of IL1B expression have been associated with risk of gastric and lung cancer. We previously reported that a certain haplotype containing four single-nucleotide polymorphisms (SNPs) (−3893G, −1464G, −511C and −31T; GGCT) in the IL1B gene regulatory region was associated with lung cancer risk and increased expression of the IL1B gene in the lung. In the present study, we have cloned the two haplotypes that were either protective (ACTC) or increasing lung cancer risk (GGCT) in a luciferase reporter vector system. We also cloned the IL1B −3893 and −1464 SNPs that were found to be associated with risk of lung cancer. The haplotype associated with lung cancer risk showed higher transcriptional activity in the human lung epithelial A549 cell line in vitro. We also found that the IL1B −1464C allele increased transcriptional activity compared with the −1464G allele in the tumor necrosis factor α-stimulated cells, as well as specific transcription factor binding patterns to the IL1B −1464C allele. Interestingly, in vitro results showed a similar expression pattern as observed in the normal lung tissues of lung cancer patients reported earlier.

Introduction

Interleukin-1β (IL-1β) is a highly inflammatory cytokine, which expression is upregulated in different cancer types such as breast, colon, melanomas and lung cancer.1, 2 The regulatory region of the IL1B gene extends over 3 kb from the transcription start site,3 an area containing several single-nucleotide polymorphisms (SNPs). IL1B gene expression may be modified by genetic polymorphisms in the gene.4, 5 We have previously studied SNPs in the IL1B gene regulatory region in a Norwegian lung cancer case control study.5 We found higher frequency of a haplotype containing four SNPs (G-3893A, G-1464C, C-511T and T-31C), where −3893G, −1464G, −511C and −31T were associated with lung cancer risk and higher expression of the IL1B gene in normal lung tissue from lung cancer patients.5 A few prior studies have investigated the −1464, −511 and −31 SNPs either as a haplotype or single SNPs,5, 6, 7, 8, 9, 10, 11, 12, 13 but little is known about the IL1B −3893 SNP. Epidemiological studies show risk association with the IL1B −511 SNP,7, 13 but functional studies show little biological evidence for this polymorphism, and therefore IL1B −1464 and −31 SNPs have received more attention.6, 7, 9, 10 Unique transcription factor binding patterns have been observed for both IL1B −1464 and −31.6, 7, 9, 10 Our group recently identified the transcription factor Yin Yang 1 (YY1) as part of the transcription factor complex that bound specifically to the IL1B −31C allele, and that YY1 binding to the IL1B promoter also altered the expression of the IL1B gene.14 As these four SNPs are tightly linked in the Norwegian lung cancer cases, we attempted to evaluate the effect of the haplotypes, as well as the effect of single SNPs, on transcriptional activity of the IL1B gene promoter. To do this, we constructed luciferase reporter vectors containing the protective ACTC and the risk GGCT haplotypes. We also constructed vectors surrounding the IL1B G-3893A and G-1464C SNPs and analyzed transcriptional activities in the human lung epithelial cell line A549. Furthermore, we analyzed, by using electrophoretic mobility shift assay (EMSA) and supershift assay, specific transcription factor binding patterns surrounding the −1464 and −3893 SNPs. We found unique transcription factor binding patterns around the −1464C allele, and found that the −1464C-allele that was considered as the non-risk allele resulted in increased transcriptional activity; however, the combined effect of the lung cancer risk haplotype (−3893G, −1464G, −511C and −31T) had higher transcriptional activity compared with the haplotype that showed protective effects. These data support the notion that a haplotype in the IL1B gene regulatory region is associated with increased expression of IL1B and increased lung cancer risk.

Materials and methods

Construction of IL1B haplotype

A sequence of 1011 bp containing the most frequent IL1B haplotypes associated with lung cancer risk were cloned into the pGL3-basic reporter vector (Promega, Madison, WI, USA) upstream of the firefly luciferase coding region. The cloning was performed by Genscript USA Inc. (Piscataway, NJ, USA). After cloning the orientation and integrity of the sequence were verified by sequencing, the sequences varied only in the SNP positions. The reporter vector inserts were designed as follows: 200 bp surrounding the IL1B G-3893A (rs12621220) SNP, 200 bp surrounding the IL1B G-1464C (rs1143623) SNP and 599 bp from transcription start site containing the IL1B C-511T (rs16944) and IL1B T-31C (rs1143627) SNPs. The sequences are corresponding to positions −3798/−3998, −1372/−1572 and −1/−600 in the IL1B regulatory region. Exact sequences can be viewed in Supplementary Table 1. The insert sequences were added recognition sites for restriction enzymes MluI and BglII, respectively. Plasmids were amplified and purified by the use of Endofree Plasmid Maxi Kit (Qiagen, Hilden, Germany), concentrations were accurately determined by PicoGreen assay (Molecular Probes, Eugene, OR, USA).

Construction of IL1B −1464 and −3893 vectors

pGL3-basic reporter vectors (Promega) does not contain any known promoter or enhancer sequences and were used to construct IL1B −1464 and −3893 vectors. DNA from individuals homozygote for −1464 G/G or C/C were amplified by the use of PCR using the primers forward 5′-IndexTermACGCGTTCTGCAGGACCAGACACCA-3′ and reverse 5′-IndexTermAGATCTGAGTTGAAACCTTGCTCCTCC-3′ and HOT FIREPol DNA Polymerase (Solis BioDyne, Tartu, Estonia). The 471-bp sequence, corresponding to position −1289/−1760 in the IL1B regulatory region, was cloned into the reporter vector. IL1B −3893 vectors were constructed in a similar manner and DNA from individuals homozygote for −3893 G/G or A/A were amplified by PCR using the primers forward 5′-IndexTermACGCGTTGGCACTTAGTAGGTGCTCAA-3′ and reverse 5′-IndexTermAGATCTCGAGCTATGTAGTCTCCAATGG-3′. The 456-bp sequence corresponds to position −3819/−4275 in the IL1B regulatory region. The forward and reverse primers contained recognition sites for restriction enzymes MluI and BglII, respectively. After cloning the integrity and orientation of the insert were verified by sequencing (ABI-lab, Oslo, Norway). Plasmids were amplified and purified by the use of Endofree Plasmid Maxi Kit (Qiagen, Hilden, Germany); concentrations were accurately determined by PicoGreen assay (Molecular Probes).

Cell culture

A549 was purchased from the European Collection of Cell Culture (Salisbury, UK) and maintained in DMEM F12 medium (supplemented with 10% heat-inactivated FBS, 100 nM hydrocortisone, 5 μg ml−1 insulin, 5 μg ml−1 transferrin, 5 ng ml−1 sodium selenite, 15 mM HEPES, 2 mM L-glutamin, 100 U ml−1 penicillin and 100 μg ml−1 streptomycin). The cells were kept at 37 °C in 5% CO2. Different numbers of cells were seeded in dishes or plates 1 day before exposure at a density of 3.5 × 104 cells cm−2. During all treatments, cells in logarithmic growth were used. Cells were exposed to various concentrations of tumor necrosis factor alpha (TNFα; ng ml−1) during 1 h.

Transient transfection and luciferase measurement

A549 cells were transfected using the lipofectamine-LTX and Plus Reagent (Invitrogen, Carlsbad, CA, USA) according to the supplied protocol. One microgram of constructed reporter vector or control reporter vector were cotransfected with 100 ng of pRL-TK vector (Promega) in DMEM:F12 without antibiotics. The pRL-TK contains a Renilla luciferase gene downstream of the herpes simplex virus thymidine kinase promoter and served as an internal control for transfection efficiency. After 24 h transfection, the transfection medium was discarded and the cells were either exposed to 15 ng ml−1 TNFα (Sigma, St Louis, MO, USA) or vehicle in medium for 1 h and then lysed using Passive Lysis Buffer (Promega). Luciferase activity was measured in the cell lysates using the Dual Luciferase assay (Promega), allowing both firefly and Renilla luciferase to be measured from the same sample in a Modulus microplate reader (Turner Biosystems, Sunnivale, CA, USA). Promoter activity was measured as the ratio between firefly and Renilla luciferase and normalized to the control vector ratio. At least three experiments were performed, each consisting of two independent transfections with each construct.

Preparation of nuclear extracts

Nuclear proteins were extracted from A549 cells using the method previously described.10 Briefly, 4 × 107 cells were seeded and exposed the next day with or without 15 ng ml−1 TNFα for 1 h before the cells were collected by scraping, washed in PBS and collected by centrifugation. Cells were then resuspended in a hypotonic buffer (10 mM Hepes–KOH, pH 7.9; 1.5 mM MgCl2; 10 mM KCl; 0.5 mM DTT) and allowed to swell on ice for 10 min. Following centrifugation, cells were homogenized and lysed in the hypotonic buffer containing 0.05% NP-40 using a dounce homogenizer (pestle B). Nuclei were collected by centrifugation, resuspended in a hypertonic buffer (40 mM Hepes–KOH, pH 7.9; 0.4 M KCl; 10% glycerol; 1 mM DTT) and lysed by the addition of NaCl to a final concentration of 300 mM. Lysates were cleared by centrifugation at 25 000 r.p.m. for 30 min, snap frozen in liquid nitrogen and stored at −70 °C. Protein concentration was determined using the BCA protein assay kit (Pierce Biotechnology Inc., Rockford, IL, USA).

Electrophoretic mobility shift assay

Sequences for synthetically manufactured biotin labeled or unlabeled DNA-oligos were purchased (DNA Technology, Aarhus, Denmark). The 30-bp sequences surrounding the IL1B −3893 and −1464 SNPs used in the EMSA experiments can be viewed in Table 1. Equimolar amounts of each strand were combined in annealing buffer (10 mM Tris, 1 mM EDTA and 50 mM NaCl) and denatured in a water bath for 5 min. The mixture was then allowed to cool slowly in the water bath to form double stranded probes for use in binding reactions. EMSA assays were performed by using the LightShift chemiluminescent EMSA kit (Thermo Fisher Scientific, Rockford, IL, USA). Binding reactions contained 20 fmol biotin labeled double stranded probe, 7–8 μg nuclear extract and 1.0 μg poly (dI–dC) in a total volume of 20 μl binding buffer (10 mM Tris, 50 mM KCl, 3 mM MgCl2, 0.1 mM EDTA and 1.0 mM DTT). Complexes were allowed to form for 20 min at room temperature before separation on a 5% native polyacrylamide gel. Probes were then blotted onto a positively charged nylon membrane (Millipore, Billerica, MA, USA) and visualized according to the LightShift protocol. For competition experiments, 200-fold molar excess of unlabeled probe was added before the addition of labeled probe. Supershift reaction was performed by the addition of 2.0 μg TranzCruz antibody raised against CCAAT/enhancer-binding protein beta (CEBP/β) according to the supplier’s protocol (Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA).

Table 1 Sequences of probes used in EMSA and supershift experiments

Statistical analysis

All data are quoted as mean±standard error, the number of observations, n, corresponding to separate cultures was always more than three. ANOVA followed by a Student–Newman–Keuls post-test was used to compare means. P<0.05 was chosen for cutoff levels of statistical significance. All statistical analyzes were performed using the PASW statistics 18 statistical package (SPSS, Inc, Chicago, IL, USA).

Results

Increased transcriptional activity for the IL1B GGCT haplotype

The lung epithelial cell line A549 was transfected with each of the constructed vectors containing the haplotypes, the IL1B −3893 SNP, the IL1B −1464 SNP or a control vector as described in Materials and methods. A scheme of the different vector inserts can be viewed in Figures 1a–c. After 24 h transfection, the cells were exposed with or without 15 ng ml−1 TNFα for 1 h before transcriptional activities were measured. The relative luciferase activity showed that the IL1B GGCT haplotype had higher transcriptional activity compared with the IL1B ACTC haplotype (Figure 2a) and treatment with TNFα did not have any marked effects. However, we found that when normalizing the data towards non-treated transcriptional activity of the most common haplotype (GGCT), TNFα-induced transcriptional activity was significantly higher for the GGCT haplotype vector compared with the ACTC haplotype vector (Figure 2b).

Figure 1
figure1

Luciferase promoter vector constructs. Scheme of the luciferase promoter vector constructs for the vectors studied, IL1B GGCT and ACTC haplotype vectors (a), IL1B G-3893A vectors (b) and IL1B G-1464C vectors (c).

Figure 2
figure2

Luciferase promoter vector activity. (a) Relative luciferase activity for the haplotype vectors exposed (right panel) or not (left panel) to 15 ng ml−1 TNFα for 1 h. (b) Fold change in luciferase activity for haplotype, −1464 and −3893 vectors exposed to 15 ng ml−1 TNFα. The data were normalized to wild type unexposed vector. The data are mean±s.e. for seven independent experiments. Asterisk denotes significant difference (P<0.05).

The effect of the IL1B G-1464C and the IL1B G-3893A SNPs on transcriptional activity

The luciferase activity of unexposed cells transfected with vector containing the most common allele (IL1B −1464G or −3893G) were used as reference. The results showed that IL1B −1464C had a higher fold increase in transcriptional activity compared to −1464G (Figure 2b) upon TNFα exposure. IL1B G-3893A showed no differences in transcriptional activity (Figure 2b).

Specific transcription factor binding pattern for IL1B −1464C SNP

We previously analyzed transcription factor binding patterns around the IL1B T-31C SNP by the use of EMSA,8, 10 where we found that YY1 bound to the IL1B −31C allele and regulated the expression of IL1B.14 Here, we characterized the transcription factor binding patterns around the −1464 (Figure 3a) and −3893 (Figure 3b) SNPs by the use of EMSA. Our results showed a transcription factor complex binding specifically to the −1464C allele, analysis of the arbitrary densitometric units confirmed significant binding to the −1464C allele in the different experiments performed (Supplementary Figure 1). There were no differences in binding patterns upon TNFα exposure for either −1464 or −3893. We did not observe binding of transcription factors for the sequence surrounding the IL1B −3893 SNPs.

Figure 3
figure3

EMSA competition analysis. (a) Labeled probes flanking the −1464C polymorphism (lane 1–6) or −1464G (lane 7–12) polymorphism were incubated with nuclear extracts exposed with (lane 4–6; 10–12) or without (lane 1–3; 7–9) 15 ng ml−1 TNFα for 1 h. For competition analyses, unlabeled −1464C (lane 2, 5, 9 and 12) or −1464G (3, 6, 8 and 11) was added before the labeled probe. * denotes −1464C-specific band; for densitometric analysis, the upper band (2) was used (see Supplementary Figure 1). (b) Labeled probes flanking the −3893G polymorphism (lane 1–6) or −3893A (lane 7–12) polymorphism were incubated with nuclear extracts exposed with (lane 4–6; 10–12) or without (lane 1–3; 7–9) 15 ng ml−1 TNFα for 1 h. For competition analyses, unlabeled −3893G (lane 2, 5, 9 and 12) or −3893A (3, 6, 8 and 11) was added before the labeled probe. FP, free probe; LP, labeled probe.

In silico analysis has shown that the transcription factor C/EBPβ shares more similarity to the −1464C sequence compared with the −1464G sequence.5 Based on these results, we performed supershift analysis on the −1464 SNP with antibodies raised against C/EBPβ (Figure 4a). We did not detect any shift in band when the nuclear extracts were incubated with the C/EBPβ antibody. The quality of the antibody was verified with western blot analysis (Figure 4b) on total cell lysates.

Figure 4
figure4

EMSA supershift analysis. (a) Labeled probes were incubated with nuclear extracts exposed with (lane 1–4) or without (lane 5–8) 15 ng ml−1 TNFα for 1 h. Lane 1, 3, 5 and 7 were incubated with a probe flanking the −1464G polymorphism. Lane 2, 4, 6 and 8 were incubated with a probe flanking the −1464C polymorphism. For supershift analyses, antibodies raised against C/EBPβ (lane 3, 4, 7 and 8) were pre-incubated with the nuclear extracts and probes. * denotes the C-specific band. (b) C/EBPβ protein levels in A549 cells exposed or not to 15 ng ml−1 TNFα for 1 h. GAPDH was used as a loading control. FP, free probe; LP, labeled probe; M, protein size marker (Lane 1) (Lane 2).

Discussion

We previously found that a certain haplotype (IL1B −3893, −1464, −511 and −31) in the IL1B gene regulatory region was overrepresented in lung cancer patients. The haplotypes also affected IL1B mRNA expression, which is a direct downstream target of the IL1B haplotypes in the human lung.5 In the present study, we constructed reporter vectors containing the haplotypes being either protective (IL1B ACTC) or increasing (IL1B GGCT) lung cancer risk. The reporter vectors were designed so that the complete sequences between the −511 and −31 SNPs were included. However, several SNPs are located in the IL1B regulatory region,6 to avoid a potential effect of these SNPs, we included 200 bp surrounding the −1464 and −3893 SNPs. Our results showed that the transcriptional activity of IL1B GGCT was higher compared with IL1B ACTC. This is in line with our previous results measured on IL1B expression in normal lung tissue.5 Transcription factor binding and transcriptional activity has previously been studied for the IL1B −31 and −511 SNPs.6, 7, 8, 10 Chen et al.6 studied the effect of IL1B gene-regulatory haplotypes in the human monocyte cell line THP-1 stimulated with lipopolysaccharide. They found that when IL1B −31T was present in the haplotype transcriptional activity was increased compared to the presence of IL1B −31C. They also found specific transcription factor binding to the variant IL1B −31C allele. The IL1B T-31C SNP is located in the TATA-box of the IL1B gene and a C in the −31 position results in its disruption from IndexTermTATAAA to IndexTermCATAAA. Several studies have shown that the variant C-allele of the IL1B −31 SNP has increased transcription factor binding.6, 8, 10 However, although they did not detect any allelic differences in transcription factor binding patterns as observed with EMSA, Chen et al. found that the IL1B −511T SNP resulted in increased transcriptional activity and that the effect of IL1B −511T overruled the IL1B −31T allele. El-Omar et al.7 also studied the effects of IL1B −511 SNP, but dedicated most of the attention to the IL1B −31 SNP and suggested the effect observed in population studies of IL1B −511 was due to its strong linkage with IL1B −31.

Our results showed increased transcription factor binding to the variant IL1B −1464C allele, which also showed a higher fold transcriptional activity compared to the G-allele. This is in line with other studies where IL1B −1464C has been shown to have increased nuclear protein binding, as well as increased transcriptional activity.6, 9 In silico analysis of the sequence surrounding the IL1B G-1464C SNP has shown that C/EBPβ binds both to IL1B −1464G and C sequence; however, its consensus binding sequence shares more similarity with the −1464C sequence.5 Therefore, we wanted to test if C/EBPβ was the C-specific band characterized in the EMSA analysis. Our EMSA-supershift results did not show any shift or reduction of the C-specific band, indicating that this region is regulated by other transcription factor(s). IL1B G-1464C has been shown to be in linkage disequilibrium with IL1B C-511T and IL1B T-31C, where the −1464G-allele is linked with −511C and −31T.5, 6, 12

We previously found an association with IL1B G-1464C and G-3893A SNPs and lung cancer risk.5 In the present study, we performed transcriptional activity of each SNP separately as well as in a haplotype context with other previously reported SNPs. We found that −1464C had higher transcriptional activity compared with the −1464G allele. These results further indicate that although −1464C alone showed higher transcriptional activity, it did not seem to have a similar effect in a haplotype context where the haplotype with a G allele at −1464 (IndexTermGGCT haplotype) had the highest effect on transcriptional activity. There were no differences in transcriptional activity for the G and A allele of the −3893 SNP, which may suggest the T allele of T-31C SNP to have the critical effect on GGCT haplotype. In future studies, it would be interesting to study the haplotypes effect on COX-2 and IL-6, which are downstream targets in the IL-1β signaling pathway.

These results support the finding that the haplotype IL1B GGCT has a stronger impact on activation of transcription in the lung. Although the IL1B −1464C vector showed higher transcriptional activity and also specific transcription factor binding, it did not seem to impact the transcriptional activity of the haplotype vector in a similar manner. The lower transcriptional activity observed with the IL1B ACTC haplotype may be explained by disruption of the TATA-box by the IL1B −31C allele and the recruitment of the YY1 transcription factor to this region. We previously found that the GGCT and ACTC haplotypes had differential effect on the IL1B mRNA levels in normal lung tissues of lung cancer patients where the individuals with the GGCT had higher expression compared with the ACTC haplotype.5 We believe that these results support the in vitro evidence provided for increased transcriptional activity of the GGCT haplotype in the present paper.

References

  1. 1

    Elaraj, D. M., Weinreich, D. M., Varghese, S., Puhlmann, M., Hewitt, S. M., Carroll, N. M. et al. The role of interleukin 1 in growth and metastasis of human cancer xenografts. Clin. Cancer Res. 12, 1088–1096 (2006).

    CAS  Article  Google Scholar 

  2. 2

    Lewis, A. M., Varghese, S., Xu, H. & Alexander, H. R. Interleukin-1 and cancer progression: the emerging role of interleukin-1 receptor antagonist as a novel therapeutic agent in cancer treatment. J. Transl. Med. 4, 48 (2006).

    Article  Google Scholar 

  3. 3

    Auron, P. E. & Webb, A. C. Interleukin-1: a gene expression system regulated at multiple levels. Eur. Cytokine Netw. 5, 573–592 (1994).

    CAS  PubMed  Google Scholar 

  4. 4

    Enquobahrie, D. A., Rice, K., Williams, O. D., Williams, M. A., Gross, M. D., Lewis, C. E. et al. IL1B genetic variation and plasma C-reactive protein level among young adults: the CARDIA study. Atherosclerosis 202, 513–520 (2009).

    CAS  Article  Google Scholar 

  5. 5

    Landvik, N. E., Hart, K., Skaug, V., Stangeland, L. B., Haugen, A. & Zienolddiny, S. A specific interleukin-1B haplotype correlates with high levels of IL1B mRNA in the lung and increased risk of non-small cell lung cancer. Carcinogenesis 30, 1186–1192 (2009).

    CAS  Article  Google Scholar 

  6. 6

    Chen, H., Wilkins, L. M., Aziz, N., Cannings, C., Wyllie, D. H., Bingle, C. et al. Single nucleotide polymorphisms in the human interleukin-1B gene affect transcription according to haplotype context. Hum. Mol. Genet. 15, 519–529 (2006).

    CAS  Article  Google Scholar 

  7. 7

    El-Omar, E. M., Carrington, M., Chow, W. H., McColl, K. E., Bream, J. H., Young, H. A. et al. Interleukin-1 polymorphisms associated with increased risk of gastric cancer. Nature 404, 398–402 (2000).

    CAS  Article  Google Scholar 

  8. 8

    Hart, K., Haugen, A. & Zienolddiny, S. Allele-specific induction of IL1B -31T/C promoter polymorphism by lung carcinogens. Mutat. Res. 656, 14–18 (2008).

    CAS  Article  Google Scholar 

  9. 9

    Lee, K. A., Ki, C. S., Kim, H. J., Sohn, K. M., Kim, J. W., Kang, W. K. et al. Novel interleukin 1beta polymorphism increased the risk of gastric cancer in a Korean population. J. Gastroenterol. 39, 429–433 (2004).

    CAS  Article  Google Scholar 

  10. 10

    Lind, H., Haugen, A. & Zienolddiny, S. Differential binding of proteins to the IL1B −31 T/C polymorphism in lung epithelial cells. Cytokine 38, 43–48 (2007).

    CAS  Article  Google Scholar 

  11. 11

    Rogus, J., Beck, J. D., Offenbacher, S., Huttner, K., Iacoviello, L., Latella, M. C. et al. IL1B gene promoter haplotype pairs predict clinical levels of interleukin-1beta and C-reactive protein. Hum. Genet. 123, 387–398 (2008).

    CAS  Article  Google Scholar 

  12. 12

    Vangsted, A. J., Klausen, T. W., Abildgaard, N., Andersen, N. F., Gimsing, P., Gregersen, H. et al. Single nucleotide polymorphisms in the promoter region of the IL1B gene influence outcome in multiple myeloma patients treated with high-dose chemotherapy independently of relapse treatment with thalidomide and bortezomib. Ann. Hematol. 90, 1173–1181 (2011).

    CAS  Article  Google Scholar 

  13. 13

    Zienolddiny, S., Ryberg, D., Maggini, V., Skaug, V., Canzian, F. & Haugen, A. Polymorphisms of the interleukin-1 beta gene are associated with increased risk of non-small cell lung cancer. Int. J. Cancer 109, 353–356 (2004).

    CAS  Article  Google Scholar 

  14. 14

    Landvik, N. E., Tekpli, X., Anmarkrud, K. H., Haugen, A. & Zienolddiny, S. Molecular characterization of a cancer-related single nucleotide polymorphism in the pro-inflammatory interleukin-1B gene. Mol. Carcinog (e-pub ahead of print 29 March 2012; doi:10.1002/mc.21910).

    CAS  Article  Google Scholar 

Download references

Acknowledgements

Funds were provided by the Norwegian Research Council and Norwegian Cancer Society. Nina E Landvik is a recipient of a fellowship from the Norwegian Cancer Society and Solbergs Cancer Legacy.

Author information

Affiliations

Authors

Corresponding author

Correspondence to Shanbeh Zienolddiny.

Additional information

Supplementary Information accompanies the paper on Journal of Human Genetics website

Supplementary information

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Landvik, N., Hart, K., Haugen, A. et al. Functional analysis of a lung cancer risk haplotype in the IL1B gene regulatory region. J Hum Genet 57, 747–752 (2012). https://doi.org/10.1038/jhg.2012.106

Download citation

Keywords

  • carcinogenesis
  • haplotype
  • IL1B
  • inflammation
  • lung cancer
  • SNP

Further reading

Search

Quick links