Abstract
Purpose: The central role of microRNAs as regulators of translation has been well established, whereas the relationships between genetic variation in microRNAs and disease risk is only beginning to be explored. A polymorphism in the MIR196A2 locus has shown associations with lung, breast, esophageal, and gastric tumors but has not been examined in head and neck cancers, which share similar pathology and etiology to these diseases.
Experimental Design: We studied a polymorphism in the mature sequence of MIR196A2 (rs11614913, C/T) in a population-based case-control study (n = 1,039) of head and neck squamous cell carcinoma (HNSCC) to determine if MIR196A2 genotype was associated with disease occurrence and patient survival.
Results: Presence of any variant allele was associated with a significantly reduced risk for HNSCC (odds ratio, 0.8; 95% confidence interval, 0.56-0.99). Homozygous variant allele carriers with pharyngeal tumors had significantly reduced survival compared with wild-type and heterozygous cases (hazard ratio, 7.4; 95% confidence interval, 1.9–28.2). Expression analysis in a subset of tumors (n = 83) revealed no significant difference in relative expression of either miR-196a or miR-196a* by MIR196A2 genotype.
Conclusion: These data demonstrate a role for MIR196A2 genotype in susceptibility and prognosis of HNSCC. Clin Cancer Res; 16(14); 3713–20. ©2010 AACR.
We found that carriers of a variant allele in MIR196A2 have a significantly decreased risk for developing head and neck cancer compared with wild-type individuals. Furthermore, homozygous variant carriers with pharyngeal disease have significantly reduced survival. Importantly, our evaluation of a mature microRNA (miRNA) polymorphism is an example of a directed approach to investigating a growing category of polymorphic variants in miRNAs and miRNA target sites, which will likely have tremendous implications for disease risk and prognosis in all types of human cancer.
With ∼45,000 new cases diagnosed and >11,000 deaths each year, head and neck squamous cell carcinoma (HNSCC) is a relatively common cancer in the United States (1). Three major etiologic factors contribute to risk and prognosis of HNSCC: tobacco use, alcohol consumption, and human papilloma virus (HPV) infection (2, 3). Recently, examinations of microRNA (miRNA) expression profiles in HNSCC have highlighted the importance of miRNA expression alterations in HNSCC tumorigenesis, disease etiology, and survival (4–10).
miRNAs, short noncoding RNAs that prevent the translation of their target mRNAs, are critical regulators of the transcriptome (11). miRNAs are known to play a crucial role in gene regulation, and altered expression of miRNAs in human cancers has been well documented (12). Single-nucleotide polymorphisms occurring in miRNAs or in their binding sites are novel sources of genetic variation that may contribute to cancer susceptibility and prognosis (13, 14).
A genetic variant in the mature miRNA sequence of MIR196A2 (rs11614913) has been associated with reduced risk for breast cancer (15, 16), gastric cancer (17), and non–small cell lung cancer (18). In addition, this polymorphism has been associated with prognosis in non–small cell lung cancer (19). The MIR196A2 gene encodes two mature miRNAs: miR-196a, which is regarded as the main mature product of the hairpin, and miR-196a*, which contains the single-nucleotide polymorphism rs11614913. Previous investigations have suggested that this single-nucleotide polymorphism affects the processing of the pre-miRNA into its mature, regulatory form (15).
We hypothesize that MIR196A2 genotype is associated with susceptibility to, and/or prognosis of HNSCC, and examined this hypothesis in a population-based case-control study.
Materials and Methods
Study population
The study population has been previously described (20, 21). Briefly, incident cases of HNSCC were identified from nine medical facilities in the Boston metropolitan area, with histologic classification of malignancy reported by pathology of the participating hospitals and confirmed by an independent study pathologist. Population-based controls were drawn from the same greater Boston population and matched to cases by gender, age (±3 y), and town of residence using the Massachusetts town lists. All cases and controls enrolled in the study provided written informed consent as approved by the Institutional Review Boards of the participating institutions. Survival time was determined for cases using publicly available databases.
DNA isolation and genotyping
DNA was extracted from whole blood or buccal cells with the QIAamp DNA mini kit according to the manufacturer's protocol (Qiagen). Genotyping of the MIR196A2 miRNA single-nucleotide polymorphism (rs11614913, C/T) was done using Taqman allelic discrimination (Applied Biosystems) with a commercially available primer probe set (assay ID C_31185852_10). Genotyping was done in a blinded fashion, appropriate controls were included in each run, and ∼10% of samples were duplicated in a coded fashion as quality assurance, with >95% concordance observed between replicates.
RNA isolation
Total RNA was isolated from tumors obtained at initial resection or normal human tissues from head and neck sites obtained from the National Disease Research Interchange that were snap frozen immediately in liquid nitrogen. The mirVANA RNA Isolation Kit (Ambion) was used according to the manufacturer's protocol. RNA was quantified using the Nanodrop ND-1000 spectrophotometer (Nanodrop), aliquoted, and stored at −80°C briefly until used for laboratory analysis.
Quantitative reverse transcription-PCR
Taqman miRNA Assays (Applied Biosystems) were used to quantify mature miRNAs miR-196a (Custom Assay) and miR-196a* (Assay ID 002336). To test whether the assay for miR-196a differentially amplified target sequence based on genotype, we measured synthetic oligonucleotide sequences for the mature miRNAs and report absolute Ct values because the synthetic miRNA sequences were the only substrate in this experiment. cDNA was synthesized by priming with gene-specific looped primers, including the primers of the miRNAs of interest and RNU44, a universally expressed endogenous control (Applied Biosystems). A 5-μL volume of total RNA diluted to a final concentration of 10 ng/μL was used for each reverse transcription reaction along with other reverse transcription components per manufacturer's specifications. Fifteen-microliter reactions were incubated in an Applied Biosystems GeneAmp PCR system 9700 for 30 minutes at 16°C, 30 minutes at 42°C, and 5 minutes at 85°C, and held at 4°C. All reactions, excluding no-template controls and non–reverse transcribed controls, were run in triplicate on an ABI 7500 Fast Real-Time PCR Detection System according to manufacturer's protocol. All real-time PCR data were normalized to the RNU44 transcript (6).
Statistical analysis
Data were analyzed using the SAS software, and all Ps represent two-sided statistical tests. Tests for Hardy-Weinberg equilibrium were conducted. Unconditional logistic regression was used to calculate adjusted odds ratios and 95% confidence intervals (95% CI) for the association of MIR196A2 genotype and HNSCC risk adjusting for age, sex, HPV16 status, alcohol consumption, and tobacco-smoking pack-years. Although subjects without HPV16 serology data could have been coded as missing and included, as a more conservative approach, these subjects were not included in the model. For analyses by tumor location, cases were grouped according to International Classification of Diseases-9 code, with oral cancer encompassing 141-145, pharyngeal cancers 146-149, and laryngeal cancers 161. Because homozygous variant and heterozygous genotypes had similar odds ratios, and to improve power for examination of the rare variant allele, these groups were combined, with homozygous wild type (WT) as the reference (dominant model). Patient survival was examined in a recessive model using Cox proportional hazards modeling to control for variables related to patient survival. These survival probability models included variables representing the combined homozygous variant and controlled for patient age (in decades), tumor stage (I and II versus III and IV), and all other covariates in the table. miRNA expression data were subjected to a two-sided, unpaired Student's t test, assuming equal means and unequal variance.
Results
Among 1,242 eligible subjects with genotyping data, 203 did not have HPV16 serology data and were excluded. There were no differences in the demographic or exposure characteristics of these individuals compared with the full study population. Characteristics of the remaining 484 cases (269 oral, 123 pharyngeal, and 92 laryngeal cancers) and 555 controls are described in Table 1 (n = 1,039). Distributions of study participant age, gender, and race between cases and controls were similar. Relationships between disease risk, etiologic factors, and tumor site in this study population have been described previously (3, 20–22).
Characteristic . | All HNSCC sites . | Oral (n = 269) . | Laryngeal (n = 92) . | Pharyngeal (n = 123) . | ||
---|---|---|---|---|---|---|
. | Cases, n (%) . | Controls, n (%) . | Unadjusted . | Unadjusted . | Unadjusted . | Unadjusted . |
. | (n = 484) . | (n = 555) . | OR (95% CI) . | OR (95% CI) . | OR (95% CI) . | OR (95% CI) . |
Age (y), mean (SD) | 59.4 (11.6) | 61.0 (11.5) | ||||
Gender | ||||||
Male | 359 (74.2) | 407 (73.3) | ||||
Female | 125 (25.8) | 148 (26.7) | ||||
Race | ||||||
Non-White | 41 (8.5) | 50 (9.0) | ||||
White | 443 (91.5) | 505 (91.0) | ||||
Tobacco (lifetime pack-years)* | ||||||
≤1 | 98 (20.3) | 197 (35.5) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) |
>1 to ≤8 | 43 (8.9) | 73 (13.1) | 1.2 (0.8-1.9) | 1.2 (0.7-2.0) | 3.2 (1.0-10.9) | 0.8 (0.4-1.8) |
>8 to ≤34 | 111 (22.9) | 142 (25.6) | 1.6 (1.1-2.2) | 1.4 (0.9-2.1) | 5.3 (1.9-14.4) | 1.3 (0.8-2.4) |
>34 | 232 (47.9) | 143 (25.8) | 3.3 (2.4-4.5) | 2.3 (1.6-3.3) | 17.1 (6.7-43.5) | 3.2 (1.9-5.2) |
Alcohol use (lifetime average drinks/wk)* | ||||||
≤2 | 111 (22.9) | 122 (22.0) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) |
>2 to ≤6 | 74 (15.3) | 157 (28.3) | 0.5 (0.4-0.8) | 0.5 (0.3-0.8) | 0.6 (0.3-1.2) | 0.5 (0.2-0.9) |
>6 to ≤15 | 78 (16.1) | 133 (24.0) | 0.7 (0.4-0.9) | 0.6 (0.4-0.9) | 0.5 (0.2-1.1) | 0.9 (0.5-1.7) |
>15 | 221 (45.7) | 143 (25.8) | 1.7 (1.2-2.4) | 1.6 (1.1-2.4) | 1.6 (0.9-2.8) | 2.0 (1.2-3.4) |
HPV16 seropositivity | ||||||
No | 341 (70.5) | 494 (89.0) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) |
Yes | 143 (29.5) | 61 (11.0) | 3.4 (2.4-4.7) | 2.8 (1.9-4.2) | 1.8 (1.0-3.3) | 6.8 (4.3-10.5) |
MIR196A2 genotype | ||||||
C/C | 182 (37.6) | 188 (33.9) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) |
C/T + T/T | 302 (62.4) | 367 (66.1) | 0.8 (0.7-1.1) | 0.9 (0.7-1.3) | 0.8 (0.5-1.3) | 0.8 (0.5-1.1) |
Characteristic . | All HNSCC sites . | Oral (n = 269) . | Laryngeal (n = 92) . | Pharyngeal (n = 123) . | ||
---|---|---|---|---|---|---|
. | Cases, n (%) . | Controls, n (%) . | Unadjusted . | Unadjusted . | Unadjusted . | Unadjusted . |
. | (n = 484) . | (n = 555) . | OR (95% CI) . | OR (95% CI) . | OR (95% CI) . | OR (95% CI) . |
Age (y), mean (SD) | 59.4 (11.6) | 61.0 (11.5) | ||||
Gender | ||||||
Male | 359 (74.2) | 407 (73.3) | ||||
Female | 125 (25.8) | 148 (26.7) | ||||
Race | ||||||
Non-White | 41 (8.5) | 50 (9.0) | ||||
White | 443 (91.5) | 505 (91.0) | ||||
Tobacco (lifetime pack-years)* | ||||||
≤1 | 98 (20.3) | 197 (35.5) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) |
>1 to ≤8 | 43 (8.9) | 73 (13.1) | 1.2 (0.8-1.9) | 1.2 (0.7-2.0) | 3.2 (1.0-10.9) | 0.8 (0.4-1.8) |
>8 to ≤34 | 111 (22.9) | 142 (25.6) | 1.6 (1.1-2.2) | 1.4 (0.9-2.1) | 5.3 (1.9-14.4) | 1.3 (0.8-2.4) |
>34 | 232 (47.9) | 143 (25.8) | 3.3 (2.4-4.5) | 2.3 (1.6-3.3) | 17.1 (6.7-43.5) | 3.2 (1.9-5.2) |
Alcohol use (lifetime average drinks/wk)* | ||||||
≤2 | 111 (22.9) | 122 (22.0) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) |
>2 to ≤6 | 74 (15.3) | 157 (28.3) | 0.5 (0.4-0.8) | 0.5 (0.3-0.8) | 0.6 (0.3-1.2) | 0.5 (0.2-0.9) |
>6 to ≤15 | 78 (16.1) | 133 (24.0) | 0.7 (0.4-0.9) | 0.6 (0.4-0.9) | 0.5 (0.2-1.1) | 0.9 (0.5-1.7) |
>15 | 221 (45.7) | 143 (25.8) | 1.7 (1.2-2.4) | 1.6 (1.1-2.4) | 1.6 (0.9-2.8) | 2.0 (1.2-3.4) |
HPV16 seropositivity | ||||||
No | 341 (70.5) | 494 (89.0) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) |
Yes | 143 (29.5) | 61 (11.0) | 3.4 (2.4-4.7) | 2.8 (1.9-4.2) | 1.8 (1.0-3.3) | 6.8 (4.3-10.5) |
MIR196A2 genotype | ||||||
C/C | 182 (37.6) | 188 (33.9) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) | 1.0 (Reference) |
C/T + T/T | 302 (62.4) | 367 (66.1) | 0.8 (0.7-1.1) | 0.9 (0.7-1.3) | 0.8 (0.5-1.3) | 0.8 (0.5-1.1) |
Abbreviation: OR, odds ratio.
*Tobacco pack-years and average drinks per week based on quartile distribution in controls.
We examined the association of genotype in the mature sequence of MIR196A2 with case status. Genotypes were within Hardy-Weinberg equilibrium, and the prevalence of control subject genotypes (C/C, 35.3%; C/T, 49.2%; T/T, 15.5%) was nearly equivalent to control subject genotypes reported in another study on subjects predominantly of European descent (C/C, 35.6%; C/T, 49.1%; T/T, 15.3%; ref. 15).
In models controlling for potential confounders, presence of any variant allele was associated with a significantly reduced risk for HNSCC (odds ratio, 0.8; 95% CI, 0.6-0.99; Table 2). The association between the variant allele and decreased risk for HNSCC was evident for individual tumor sites, although only reached statistical significance among cases with pharyngeal disease (odds ratio, 0.6; 95% CI, 0.4-0.96). In overall and tumor site–specific analyses, there was no effect modification of the association between genotype and disease by pack-years smoked, average drinks per week, or HPV16 seropositive status (data not shown).
Covariate . | All sites . | Adjusted OR (95% CI) . | n (%); total n = 269 . | Oral . | n (%); total n = 92 . | Laryngeal . | n (%); total n = 123 . | Pharyngeal . | |
---|---|---|---|---|---|---|---|---|---|
Cases, n (%); total n = 484 . | Controls, n (%); total n = 555 . | Adjusted OR (95% CI) . | Adjusted OR (95% CI) . | Adjusted OR (95% CI) . | |||||
Age | |||||||||
≤50 | 105 (21.7) | 95 (17.1) | 1.0 (Reference) | 66 (24.5) | 1.0 (Reference) | 14 (15.2) | 1.0 (Reference) | 25 (20.3) | 1.0 (Reference) |
>50 to ≤60 | 164 (33.9) | 177 (31.9) | 0.6 (0.4-0.9) | 92 (34.2) | 0.6 (0.4-0.9) | 32 (34.8) | 0.6 (0.3-1.4) | 40 (32.5) | 0.7 (0.4-1.3) |
>60 to ≤70 | 133 (27.5) | 161 (29.0) | 0.5 (0.3-0.7) | 65 (24.2) | 0.4 (0.3-0.7) | 27 (29.3) | 0.5 (0.2-1.0) | 41 (33.3) | 0.7 (0.3-1.3) |
>70 | 82 (16.9) | 122 (22.0) | 0.5 (0.3-0.7) | 46 (17.1) | 0.5 (0.3-0.8) | 19 (20.7) | 0.4 (0.2-0.96) | 17 (13.8) | 0.4 (0.2-0.8) |
Gender | |||||||||
Female | 125 (25.8) | 148 (26.7) | 1.0 (Reference) | 84 (31.2) | 1.0 (Reference) | 17 (18.5) | 1.0 (Reference) | 24 (19.5) | 1.0 (Reference) |
Male | 359 (74.2) | 407 (73.3) | 0.7 (0.5-0.98) | 185 (68.8) | 0.6 (0.4-0.8) | 75 (81.5) | 1.0 (0.5-2.0) | 99 (80.5) | 1.2 (0.7-2.2) |
Race | |||||||||
White | 443 (91.5) | 505 (91.0) | 1.0 (Reference) | 248 (92.2) | 1.0 (Reference) | 83 (90.2) | 1.0 (Reference) | 112 (91.1) | 1.0 (Reference) |
Non-White | 41 (8.5) | 50 (9.0) | 0.8 (0.5-1.2) | 21 (7.8) | 0.7 (0.4-1.2) | 9 (9.8) | 0.7 (0.3-1.6) | 11 (8.9) | 0.6 (0.3-1.3) |
Tobacco (lifetime pack-years)* | |||||||||
≤1 | 98 (20.3) | 197 (35.5) | 1.0 (Reference) | 66 (24.5) | 1.0 (Reference) | 5 (5.4) | 1.0 (Reference) | 27 (22.0) | 1.0 (Reference) |
>1 to ≤8 | 43 (8.9) | 73 (13.1) | 1.3 (0.8-2.1) | 29 (10.8) | 1.2 (0.7-2.0) | 6 (6.5) | 3.7 (1.1-12.7) | 8 (6.5) | 0.8 (0.3-2.0) |
>8 to ≤34 | 111 (22.9) | 142 (25.6) | 1.6 (1.1-2.4) | 66 (24.5) | 1.4 (0.9-2.2) | 19 (20.7) | 6.3 (2.2-18.1) | 26 (21.1) | 1.4 (0.7-2.8) |
>34 | 232 (47.9) | 143 (25.8) | 3.9 (2.7-5.7) | 108 (40.2) | 2.6 (1.6-4.0) | 62 (67.4) | 22.2 (8.1-60.7) | 62 (50.4) | 4.3 (2.3-8.0) |
Alcohol use (lifetime average drinks/wk)* | |||||||||
≤2 | 111 (22.9) | 122 (22.0) | 1.0 (Reference) | 64 (23.8) | 1.0 (Reference) | 22 (23.9) | 1.0 (Reference) | 25 (20.3) | 1.0 (Reference) |
>2 to ≤6 | 74 (15.3) | 157 (28.3) | 0.5 (0.3-0.7) | 42 (15.6) | 0.5 (0.3-0.8) | 17 (18.5) | 0.5 (0.2-1.1) | 15 (12.2) | 0.4 (0.2-0.9) |
>6 to ≤15 | 78 (16.1) | 133 (24.0) | 0.6 (0.4-0.9) | 41 (15.2) | 0.6 (0.4-0.99) | 12 (13.0) | 0.4 (0.2-0.8) | 25 (20.3) | 0.7 (0.4-1.5) |
>15 | 221 (45.7) | 143 (25.7) | 1.3 (0.9-1.9) | 122 (45.4) | 1.5 (0.9-2.3) | 41 (44.6) | 0.8 (0.4-1.6) | 58 (47.2) | 1.1 (0.6-2.2) |
HPV16 seropositivity | |||||||||
No | 341 (70.4) | 494 (89.0) | 1.0 (Reference) | 199 (74.0) | 1.0 (Reference) | 75 (81.5) | 1.0 (Reference) | 67 (54.5) | 1.0 (Reference) |
Yes | 143 (29.6) | 61 (11.0) | 4.1 (2.8-5.8) | 70 (26.0) | 3.0 (2.0-4.6) | 17 (18.5) | 2.1 (1.1-4.1) | 56 (45.5) | 8.2 (5.0-13.5) |
MIR196A2 genotype | |||||||||
C/C | 182 (37.6) | 188 (33.9) | 1.0 (Reference) | 96 (35.7) | 1.0 (Reference) | 36 (39.1) | 1.0 (Reference) | 50 (40.7) | 1.0 (Reference) |
C/T + T/T | 302 (62.4) | 367 (66.1) | 0.8 (0.6-0.99) | 173 (64.3) | 0.8 (0.6-1.1) | 56 (60.9) | 0.6 (0.4-1.1) | 73 (59.3) | 0.6 (0.4-0.96) |
Covariate . | All sites . | Adjusted OR (95% CI) . | n (%); total n = 269 . | Oral . | n (%); total n = 92 . | Laryngeal . | n (%); total n = 123 . | Pharyngeal . | |
---|---|---|---|---|---|---|---|---|---|
Cases, n (%); total n = 484 . | Controls, n (%); total n = 555 . | Adjusted OR (95% CI) . | Adjusted OR (95% CI) . | Adjusted OR (95% CI) . | |||||
Age | |||||||||
≤50 | 105 (21.7) | 95 (17.1) | 1.0 (Reference) | 66 (24.5) | 1.0 (Reference) | 14 (15.2) | 1.0 (Reference) | 25 (20.3) | 1.0 (Reference) |
>50 to ≤60 | 164 (33.9) | 177 (31.9) | 0.6 (0.4-0.9) | 92 (34.2) | 0.6 (0.4-0.9) | 32 (34.8) | 0.6 (0.3-1.4) | 40 (32.5) | 0.7 (0.4-1.3) |
>60 to ≤70 | 133 (27.5) | 161 (29.0) | 0.5 (0.3-0.7) | 65 (24.2) | 0.4 (0.3-0.7) | 27 (29.3) | 0.5 (0.2-1.0) | 41 (33.3) | 0.7 (0.3-1.3) |
>70 | 82 (16.9) | 122 (22.0) | 0.5 (0.3-0.7) | 46 (17.1) | 0.5 (0.3-0.8) | 19 (20.7) | 0.4 (0.2-0.96) | 17 (13.8) | 0.4 (0.2-0.8) |
Gender | |||||||||
Female | 125 (25.8) | 148 (26.7) | 1.0 (Reference) | 84 (31.2) | 1.0 (Reference) | 17 (18.5) | 1.0 (Reference) | 24 (19.5) | 1.0 (Reference) |
Male | 359 (74.2) | 407 (73.3) | 0.7 (0.5-0.98) | 185 (68.8) | 0.6 (0.4-0.8) | 75 (81.5) | 1.0 (0.5-2.0) | 99 (80.5) | 1.2 (0.7-2.2) |
Race | |||||||||
White | 443 (91.5) | 505 (91.0) | 1.0 (Reference) | 248 (92.2) | 1.0 (Reference) | 83 (90.2) | 1.0 (Reference) | 112 (91.1) | 1.0 (Reference) |
Non-White | 41 (8.5) | 50 (9.0) | 0.8 (0.5-1.2) | 21 (7.8) | 0.7 (0.4-1.2) | 9 (9.8) | 0.7 (0.3-1.6) | 11 (8.9) | 0.6 (0.3-1.3) |
Tobacco (lifetime pack-years)* | |||||||||
≤1 | 98 (20.3) | 197 (35.5) | 1.0 (Reference) | 66 (24.5) | 1.0 (Reference) | 5 (5.4) | 1.0 (Reference) | 27 (22.0) | 1.0 (Reference) |
>1 to ≤8 | 43 (8.9) | 73 (13.1) | 1.3 (0.8-2.1) | 29 (10.8) | 1.2 (0.7-2.0) | 6 (6.5) | 3.7 (1.1-12.7) | 8 (6.5) | 0.8 (0.3-2.0) |
>8 to ≤34 | 111 (22.9) | 142 (25.6) | 1.6 (1.1-2.4) | 66 (24.5) | 1.4 (0.9-2.2) | 19 (20.7) | 6.3 (2.2-18.1) | 26 (21.1) | 1.4 (0.7-2.8) |
>34 | 232 (47.9) | 143 (25.8) | 3.9 (2.7-5.7) | 108 (40.2) | 2.6 (1.6-4.0) | 62 (67.4) | 22.2 (8.1-60.7) | 62 (50.4) | 4.3 (2.3-8.0) |
Alcohol use (lifetime average drinks/wk)* | |||||||||
≤2 | 111 (22.9) | 122 (22.0) | 1.0 (Reference) | 64 (23.8) | 1.0 (Reference) | 22 (23.9) | 1.0 (Reference) | 25 (20.3) | 1.0 (Reference) |
>2 to ≤6 | 74 (15.3) | 157 (28.3) | 0.5 (0.3-0.7) | 42 (15.6) | 0.5 (0.3-0.8) | 17 (18.5) | 0.5 (0.2-1.1) | 15 (12.2) | 0.4 (0.2-0.9) |
>6 to ≤15 | 78 (16.1) | 133 (24.0) | 0.6 (0.4-0.9) | 41 (15.2) | 0.6 (0.4-0.99) | 12 (13.0) | 0.4 (0.2-0.8) | 25 (20.3) | 0.7 (0.4-1.5) |
>15 | 221 (45.7) | 143 (25.7) | 1.3 (0.9-1.9) | 122 (45.4) | 1.5 (0.9-2.3) | 41 (44.6) | 0.8 (0.4-1.6) | 58 (47.2) | 1.1 (0.6-2.2) |
HPV16 seropositivity | |||||||||
No | 341 (70.4) | 494 (89.0) | 1.0 (Reference) | 199 (74.0) | 1.0 (Reference) | 75 (81.5) | 1.0 (Reference) | 67 (54.5) | 1.0 (Reference) |
Yes | 143 (29.6) | 61 (11.0) | 4.1 (2.8-5.8) | 70 (26.0) | 3.0 (2.0-4.6) | 17 (18.5) | 2.1 (1.1-4.1) | 56 (45.5) | 8.2 (5.0-13.5) |
MIR196A2 genotype | |||||||||
C/C | 182 (37.6) | 188 (33.9) | 1.0 (Reference) | 96 (35.7) | 1.0 (Reference) | 36 (39.1) | 1.0 (Reference) | 50 (40.7) | 1.0 (Reference) |
C/T + T/T | 302 (62.4) | 367 (66.1) | 0.8 (0.6-0.99) | 173 (64.3) | 0.8 (0.6-1.1) | 56 (60.9) | 0.6 (0.4-1.1) | 73 (59.3) | 0.6 (0.4-0.96) |
NOTE: Models are controlled for all variables.
*Tobacco pack-years and average drinks per week based on quartile distribution in controls.
We then examined the association of the MIR196A2 variant genotype with disease survival. Carriers of any variant allele did not have significantly different survival compared with WT cases (data not shown). In addition, homozygous variant cases did not have significantly different survival probability compared with WT and heterozygous cases (log-rank P = 0.33; n = 418; Fig. 1A). Stratifying by tumor site, there was no significant survival association for cases with oral cavity tumors (P = 0.98; n = 243; Fig. 1B) or laryngeal cancer (P = 0.55; n = 74; Fig. 1C). However, cases with pharyngeal cancer and homozygous variant genotype had significantly reduced survival compared with WT and heterozygous cases (P < 0.02; n = 101; Fig. 1D). Cases with survival data and tumor staging (n = 323) were entered into a multivariate Cox proportional hazards model to control for potential confounders, and no significant association between genotype and survival was found (Table 3). When stratifying the analysis by tumor site, pharyngeal cancer cases with homozygous variant genotype had significantly reduced survival (hazard ratio, 7.4; 95% CI, 1.9-28.2; Table 3).
Covariate . | Cases, n (%); total n = 323 . | All sites . | n (%); total n = 179 . | Oral . | n (%); total n = 59 . | Laryngeal . | n (%); total n = 85 . | Pharyngeal . |
---|---|---|---|---|---|---|---|---|
Adjusted HR (95% CI) . | Adjusted HR (95% CI) . | Adjusted HR (95% CI) . | Adjusted HR (95% CI) . | |||||
Age | ||||||||
≤50 | 77 (23.9) | 1.0 (Reference) | 51 (28.5) | 1.0 (Reference) | 9 (15.3) | 1.0 (Reference) | 17 (20.0) | 1.0 (Reference) |
>50 to ≤60 | 105 (32.5) | 1.2 (0.6-2.4) | 59 (33.0) | 1.5 (0.7-3.2) | 23 (39.0) | 0.6 (0.1-7.6) | 23 (27.1) | 0.5 (0.1-4.2) |
>60 to ≤70 | 97 (30.0) | 1.9 (1.0-3.6) | 42 (23.5) | 1.3 (0.6-3.0) | 18 (30.5) | 3.2 (0.3-39.5) | 37 (43.5) | 3.3 (0.6-18.2) |
>70 | 44 (13.6) | 3.2 (1.6-6.5) | 27 (15.0) | 2.7 (1.2-6.2) | 9 (15.2) | 4.8 (0.4-62.1) | 9 (9.4) | 2.8 (0.4-21.1) |
Gender | ||||||||
Female | 78 (24.2) | 1.0 (Reference) | 50 (27.9) | 1.0 (Reference) | 12 (20.3) | 1.0 (Reference) | 16 (18.8) | 1.0 (Reference) |
Male | 245 (75.8) | 1.4 (0.8-2.5) | 129 (72.1) | 1.6 (0.8-3.5) | 47 (79.7) | 2.9 (0.5-16.3) | 69 (81.2) | 1.3 (0.4-4.5) |
Tobacco (lifetime pack-years)* | ||||||||
≤1 | 64 (19.8) | 1.0 (Reference) | 43 (24.0) | 1.0 (Reference) | 4 (6.8) | 1.0 (Reference) | 17 (20.0) | 1.0 (Reference) |
>1 to ≤8 | 27 (8.4) | 0.2 (0.1-1.1) | 19 (10.6) | 0.3 (0.1-1.5) | 3 (5.1) | — | 5 (5.9) | — |
>8 to ≤34 | 80 (24.8) | 1.0 (0.5-1.9) | 44 (24.6) | 1.0 (0.4-2.3) | 16 (27.1) | 0.7 (0.04-12.3) | 20 (23.5) | 1.3 (0.3-5.4) |
>34 | 152 (47.0) | 1.1 (0.6-2.0) | 73 (40.8) | 1.5 (0.7-3.4) | 36 (61.0) | 0.7 (0.04-10.0) | 43 (50.6) | 1.0 (0.3-3.2) |
Alcohol use (lifetime average drinks/wk)* | ||||||||
≤2 | 78 (24.1) | 1.0 (Reference) | 41 (22.9) | 1.0 (Reference) | 19 (32.2) | 1.0 (Reference) | 18 (21.2) | 1.0 (Reference) |
>2 to ≤6 | 51 (15.8) | 0.6 (0.2-1.3) | 32 (17.9) | 0.3 (0.1-1.0) | 10 (17.0) | 2.6 (0.4-18.7) | 9 (10.6) | 1.1 (0.1-11.0) |
>6 to ≤15 | 48 (14.9) | 0.7 (0.4-1.5) | 27 (15.1) | 0.6 (0.3-1.6) | 4 (6.8) | — | 17 (20.0) | 0.6 (0.1-2.8) |
>15 | 146 (45.2) | 1.0 (0.6-1.7) | 79 (44.1) | 0.7 (0.3-1.4) | 26 (44.0) | 0.7 (0.2-2.3) | 41 (48.2) | 1.9 (0.6-5.9) |
HPV16 seropositivity | ||||||||
No | 221 (68.4) | 1.0 (Reference) | 131 (73.2) | 1.0 (Reference) | 44 (74.6) | 1.0 (Reference) | 46 (54.1) | 1.0 (Reference) |
Yes | 102 (31.6) | 0.6 (0.4-1.0) | 48 (26.8) | 0.7 (0.4-1.4) | 15 (25.4) | 0.7 (0.2-3.0) | 39 (45.9) | 0.6 (0.2-1.7) |
Stage | ||||||||
I or II | 93 (28.8) | 1.0 (Reference) | 54 (30.2) | 1.0 (Reference) | 25 (42.4) | 1.0 (Reference) | 14 (16.5) | 1.0 (Reference) |
III or IV | 230 (71.2) | 2.2 (1.3-3.6) | 125 (69.8) | 2.4 (1.2-4.7) | 34 (57.6) | 7.5 (1.5-37.1) | 71 (83.5) | 0.7 (0.3-1.9) |
MIR196A2 genotype | ||||||||
C/C + C/T | 275 (85.1) | 1.0 (Reference) | 147 (82.1) | 1.0 (Reference) | 49 (83.1) | 1.0 (Reference) | 79 (92.9) | 1.0 (Reference) |
T/T | 48 (14.9) | 1.3 (0.8-2.2) | 32 (17.9) | 0.8 (0.4-1.6) | 10 (16.9) | 2.5 (0.5-13.2) | 6 (7.1) | 7.4 (1.9-28.2) |
Covariate . | Cases, n (%); total n = 323 . | All sites . | n (%); total n = 179 . | Oral . | n (%); total n = 59 . | Laryngeal . | n (%); total n = 85 . | Pharyngeal . |
---|---|---|---|---|---|---|---|---|
Adjusted HR (95% CI) . | Adjusted HR (95% CI) . | Adjusted HR (95% CI) . | Adjusted HR (95% CI) . | |||||
Age | ||||||||
≤50 | 77 (23.9) | 1.0 (Reference) | 51 (28.5) | 1.0 (Reference) | 9 (15.3) | 1.0 (Reference) | 17 (20.0) | 1.0 (Reference) |
>50 to ≤60 | 105 (32.5) | 1.2 (0.6-2.4) | 59 (33.0) | 1.5 (0.7-3.2) | 23 (39.0) | 0.6 (0.1-7.6) | 23 (27.1) | 0.5 (0.1-4.2) |
>60 to ≤70 | 97 (30.0) | 1.9 (1.0-3.6) | 42 (23.5) | 1.3 (0.6-3.0) | 18 (30.5) | 3.2 (0.3-39.5) | 37 (43.5) | 3.3 (0.6-18.2) |
>70 | 44 (13.6) | 3.2 (1.6-6.5) | 27 (15.0) | 2.7 (1.2-6.2) | 9 (15.2) | 4.8 (0.4-62.1) | 9 (9.4) | 2.8 (0.4-21.1) |
Gender | ||||||||
Female | 78 (24.2) | 1.0 (Reference) | 50 (27.9) | 1.0 (Reference) | 12 (20.3) | 1.0 (Reference) | 16 (18.8) | 1.0 (Reference) |
Male | 245 (75.8) | 1.4 (0.8-2.5) | 129 (72.1) | 1.6 (0.8-3.5) | 47 (79.7) | 2.9 (0.5-16.3) | 69 (81.2) | 1.3 (0.4-4.5) |
Tobacco (lifetime pack-years)* | ||||||||
≤1 | 64 (19.8) | 1.0 (Reference) | 43 (24.0) | 1.0 (Reference) | 4 (6.8) | 1.0 (Reference) | 17 (20.0) | 1.0 (Reference) |
>1 to ≤8 | 27 (8.4) | 0.2 (0.1-1.1) | 19 (10.6) | 0.3 (0.1-1.5) | 3 (5.1) | — | 5 (5.9) | — |
>8 to ≤34 | 80 (24.8) | 1.0 (0.5-1.9) | 44 (24.6) | 1.0 (0.4-2.3) | 16 (27.1) | 0.7 (0.04-12.3) | 20 (23.5) | 1.3 (0.3-5.4) |
>34 | 152 (47.0) | 1.1 (0.6-2.0) | 73 (40.8) | 1.5 (0.7-3.4) | 36 (61.0) | 0.7 (0.04-10.0) | 43 (50.6) | 1.0 (0.3-3.2) |
Alcohol use (lifetime average drinks/wk)* | ||||||||
≤2 | 78 (24.1) | 1.0 (Reference) | 41 (22.9) | 1.0 (Reference) | 19 (32.2) | 1.0 (Reference) | 18 (21.2) | 1.0 (Reference) |
>2 to ≤6 | 51 (15.8) | 0.6 (0.2-1.3) | 32 (17.9) | 0.3 (0.1-1.0) | 10 (17.0) | 2.6 (0.4-18.7) | 9 (10.6) | 1.1 (0.1-11.0) |
>6 to ≤15 | 48 (14.9) | 0.7 (0.4-1.5) | 27 (15.1) | 0.6 (0.3-1.6) | 4 (6.8) | — | 17 (20.0) | 0.6 (0.1-2.8) |
>15 | 146 (45.2) | 1.0 (0.6-1.7) | 79 (44.1) | 0.7 (0.3-1.4) | 26 (44.0) | 0.7 (0.2-2.3) | 41 (48.2) | 1.9 (0.6-5.9) |
HPV16 seropositivity | ||||||||
No | 221 (68.4) | 1.0 (Reference) | 131 (73.2) | 1.0 (Reference) | 44 (74.6) | 1.0 (Reference) | 46 (54.1) | 1.0 (Reference) |
Yes | 102 (31.6) | 0.6 (0.4-1.0) | 48 (26.8) | 0.7 (0.4-1.4) | 15 (25.4) | 0.7 (0.2-3.0) | 39 (45.9) | 0.6 (0.2-1.7) |
Stage | ||||||||
I or II | 93 (28.8) | 1.0 (Reference) | 54 (30.2) | 1.0 (Reference) | 25 (42.4) | 1.0 (Reference) | 14 (16.5) | 1.0 (Reference) |
III or IV | 230 (71.2) | 2.2 (1.3-3.6) | 125 (69.8) | 2.4 (1.2-4.7) | 34 (57.6) | 7.5 (1.5-37.1) | 71 (83.5) | 0.7 (0.3-1.9) |
MIR196A2 genotype | ||||||||
C/C + C/T | 275 (85.1) | 1.0 (Reference) | 147 (82.1) | 1.0 (Reference) | 49 (83.1) | 1.0 (Reference) | 79 (92.9) | 1.0 (Reference) |
T/T | 48 (14.9) | 1.3 (0.8-2.2) | 32 (17.9) | 0.8 (0.4-1.6) | 10 (16.9) | 2.5 (0.5-13.2) | 6 (7.1) | 7.4 (1.9-28.2) |
NOTE: Models are controlled for all variables.
Abbreviation: HR, hazard ratio.
*Tobacco pack-years and average drinks per week based on quartile distribution in controls.
We measured expression levels of mature miRNAs miR-196a and miR-196a* in normal head and neck tissues (n = 14) and fresh frozen tumor tissues (n = 83) to determine if MIR196A2 variant genotype affects expression. First, to validate that presence of the variant allele did not interfere with the detection of mature miRNAs, equivalent quantities of synthetic oligonucleotides corresponding to WT and variant miR-196a* sequences (and a 1:1 mix for heterozygous) were measured in triplicate with a stem-loop reverse transcription-PCR assay for miR-196a*. This assay did not differentially amplify targets based on genotype (Ct values: C/C, 15.90; T/T, 16.28; C/T, 16.18). In normal head and neck tissues (n = 14), we found no significant difference in the relative expression of either miR-196a or miR-196a* by MIR196A2 genotype (data not shown). Similarly, in tumor tissues (n = 83), we found no significant difference in relative expression of either miR-196a or miR-196a* by MIR196A2 genotype overall (n = 83) and when stratified by tumor location (Table 4).
Mature miRNA and site . | Relative expression* by MIRN196A2 genotype . | n . | ||
---|---|---|---|---|
C . | C/T . | TT . | ||
miR-196a, mean (SD) | ||||
Overall | 0.71 (0.09) | 0.72 (0.13) | 0.71 (0.05) | 83 |
Oral | 0.69 (0.09) | 0.70 (0.08) | 0.70 (0.06) | 55 |
Laryngeal | 0.75 (0.05) | 0.68 (0.04) | 0.8 (NA) | 15 |
Pharyngeal | 0.71 (0.07) | 0.94 (0.26) | 0.72 (0.04) | 13 |
miR-196a*, mean (SD) | ||||
Overall | 0.55 (0.06) | 0.55 (0.07) | 0.56 (0.06) | 83 |
Oral | 0.55 (0.07) | 0.55 (0.06) | 0.56 (0.08) | 55 |
Laryngeal | 0.55 (0.05) | 0.52 (0.04) | 0.56 (NA) | 15 |
Pharyngeal | 0.54 (0.07) | 0.61 (0.11) | 0.54 (0.04) | 13 |
Mature miRNA and site . | Relative expression* by MIRN196A2 genotype . | n . | ||
---|---|---|---|---|
C . | C/T . | TT . | ||
miR-196a, mean (SD) | ||||
Overall | 0.71 (0.09) | 0.72 (0.13) | 0.71 (0.05) | 83 |
Oral | 0.69 (0.09) | 0.70 (0.08) | 0.70 (0.06) | 55 |
Laryngeal | 0.75 (0.05) | 0.68 (0.04) | 0.8 (NA) | 15 |
Pharyngeal | 0.71 (0.07) | 0.94 (0.26) | 0.72 (0.04) | 13 |
miR-196a*, mean (SD) | ||||
Overall | 0.55 (0.06) | 0.55 (0.07) | 0.56 (0.06) | 83 |
Oral | 0.55 (0.07) | 0.55 (0.06) | 0.56 (0.08) | 55 |
Laryngeal | 0.55 (0.05) | 0.52 (0.04) | 0.56 (NA) | 15 |
Pharyngeal | 0.54 (0.07) | 0.61 (0.11) | 0.54 (0.04) | 13 |
*Relative to RNU44 expression.
Discussion
Polymorphisms in miRNA genes and their target sites are a novel class of variation in the human genome that are rapidly being identified and investigated in human cancers, including HNSCC (13, 14, 23–25). Motivated by several recent publications linking the MIR196A2 mature miRNA single-nucleotide polymorphism to cancer susceptibility and prognosis (15–19, 26), we tested the hypothesis that this single-nucleotide polymorphism (rs11614913) is associated with susceptibility to and prognosis of HNSCC; we found a significantly decreased risk for HNSCC, and significantly reduced survival in cases with pharyngeal disease. Notably, the prevalence of control genotypes was completely consistent with another ethnically similar (Caucasian) population-based study (15). However, unlike some other reports (15, 19), when we assessed relative expression of mature miR-196a and miR-196a*, we did not detect significantly different expression by MIR196A2 genotype in either normal head and neck tissues or tumors.
Comparing expression levels of the mature miR-196a among MIR196A2 genotypes, Hu et al. (19) observed significantly lower expression of miR-196a in non–small cell lung tumor samples with C/C genotype (n = 6) compared to C/T and T/T individuals (n = 17). These authors also measured endogenous levels of pri-miRNA and pre-miRNA sequences but did not observe differential expression of these precursor molecules based on genotype (19). In a separate report, Hoffman et al. showed increased expression of mature miR-196a in breast cancer cells transfected with pre–miR-196a–C compared with cells transfected with pre–miR-196a–T relative to empty vector control (15) but did not observe differential expression of the precursor miRNA in their transfection experiment, suggesting that MIR196A2 genotype may result in altered processing of the pre-miR (15). Relative to previous work, our expression results were from a large number of samples (n = 83), affording sufficient statistical power to detect even subtle differences, and although the miR-196a expression results seem to be conflicting, cell type–specific differential expression of miRNAs could explain these results. A recent examination of differential miRNA expression in several cancer types and adjacent normal tissues (including breast and lung, though not head and neck) showed a wide range of miR-196a expression across different normal tissues, tumor types, and between tumor and normal tissues from common sites (GSE14985; ref. 27).
If miRNA single-nucleotide polymorphisms directly affect the expression of mature miRNA species, then the functional relationship between these polymorphisms and disease susceptibility or prognosis may seem clear: altered miRNA expression leads to altered regulation of target mRNAs important in tumorigenesis. Nonetheless, even in the absence of altered mature miRNA expression levels, variation in the mature miR-196a* sequence itself could result in differential regulation of target mRNAs. Mature miR-196a* in variant allele form could have either an increased or decreased affinity for targets of WT miR-196a*. A determinant of the impact of miRNA sequence variation is cell type–specific expression levels of both miRNAs and their targets: cell type–specific transcriptomes. In addition, it is important to note that tumorigenesis-related alterations in a cell's transcriptome may also affect the regulatory capacity of miRNAs to the extent that a miRNA variant allele may have a protective effect for disease, as well as predict poor prognosis. Functional characterization of miRNA target transcripts is far from complete, and there is currently little data available to speculate on cell type–specific regulation of mRNAs by miR-196a and miR-196a*.
Though there is conflicting data for the association between MIR196A2 genotype and miR-196a expression, the variant allele is in the other mature miRNA product of this gene, miR-196a*. Consistent with our data, Hoffman et al. (15) did not observe an effect of the variant on expression of mature miR-196a*. In addition, studies that report significant associations between the MIR196A2 polymorphism and cancer risk [breast, gastric, and non–small cell lung cancers (in Caucasian and Asian populations)] all show the T allele to be associated with decreased risk for disease (15–18). Collectively, these results strongly suggest that reduced risk associated with MIR196A2 variant genotype is not mediated by differential expression of the mature miRNAs of the gene.
In the context of carcinogenesis, the dynamic relationship between a miRNA and its targets may be modified by etiologic exposures. Compounded with cell type–specific transcriptomes, there are varying etiologic exposures associated with different cancers: in HNSCC, etiologic exposures may differ between individuals (within tumor site) and are known to have different magnitudes of effect by tumor site. For instance, HPV16-seropositive individuals have a higher risk for developing pharyngeal disease compared with other sites (3). Furthermore, HPV16 and other important etiologic exposures in HNSCC have been associated with specific molecular alterations that may have broader implications for the transcriptome of a cell, and hence may differentially affect regulation by miRNAs. Nonetheless, we did not observe any effect modification by exposures for genotype associations in this study, suggesting that the precise mechanism(s) by which genotype confers risk is too dynamic and complex to fully elucidate. In addition to more complete characterization of the miRNA targets, further study on additional cancers with similar risk factors (e.g., cervical cancer and HPV and lung cancer and tobacco smoking) might also be helpful in illuminating precisely how these variant genotypes confer risk.
This work suggests that patients carrying a variant allele in MIR196A2 have a significantly decreased risk for HNSCC. In addition, homozygous variant cases with pharyngeal disease also had significantly poorer survival, suggesting that the protective effect of the variant allele does not extend to disease severity. Additional studies are warranted to further confirm these findings and explore the relationship between MIR196A2 genotype and risk for other forms of cancer.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Acknowledgments
Grant Support: R01CA078609, R01CA100679, and T32ES007272.
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