Abstract
Abstracts
Background
The cooperation between phorbol 12-myristate 13-acetate induced protein 1 (NOXA) and myeloid cell leukemia 1 (MCL1) is critical in the intrinsic apoptotic pathway. Human papillomavirus 16 (HPV16), by inducing p53 and pRb-E2F degradation, may play an essential role in development of squamous cell carcinoma of the head and neck (SCCHN) through NOXA-MCL1 axis-mediated apoptosis. Therefore, genetic variants of NOXA and MCL1 may modify the SCCHN risk associated with HPV16 seropositivity.
Methods
HPV16 serology was obtained by immunoadsorption assay. Four functional SNPs in the promoter of NOXA (rs9957673, rs4558496) and MCL1 (rs9803935, rs3738485) were genotyped for 380 cases and 335 frequency-matched cancer-free controls of non-Hispanic whites.
Results
Associations between the four polymorphisms and SCCHN risk were not significant, while we observed a significantly joint effect on SCCHN risk between the polymorphisms and HPV16 seropositivity. Notably, this effect modification was particularly pronounced for oropharyngeal cancer in subgroups including never smokers, never drinkers and younger subjects.
Conclusions
Our results suggested that polymorphisms of NOXA and MCL1 may modify the risk of HPV16-associated oropharyngeal cancer. The further identification of population subgroups at higher risk provides evidence that HPV-targeting treatment may help benefit SCCHN. However, larger studies are needed to validate our findings.
Keywords: NOXA, MCL1, HPV16, Genetic susceptibility, Squamous cell carcinoma of the head and neck
Background
Apoptosis has been implicated in the development of various human cancers, including squamous cell carcinoma of the head and neck (SCCHN). Growing evidence suggests that suboptimal apoptotic capacity leads to failure in responding to unfavorable stimuli and eliminating potentially neoplastic clones, which may cause accumulation of cells with cancer-prone mutations and therefore result in cancer susceptibility [1]. The Bcl-2 family proteins, as well as cooperation among their anti- and pro-apoptotic subgroup members, control the balance between death (apoptosis) and survival of cells, and consequently may alter the risk of cancers [2-5]. As one of the p53 downstream targets, the pro-apoptotic Bcl-2 subfamily protein NOXA (Latin for damage; HUGO designation is phorbol 12-myristate 13-acetate induced protein 1, PMAIP1) is recognized as a crucial switch that connects apoptotic signals with the anti-apoptotic subfamily proteins. Indeed, the NOXA can exclusively bind to the anti-apoptotic subfamily protein MCL1 (myeloid cell leukemia 1) and consequently initiate apoptosis by both sequestering MCL1 and promoting MCL1 degradation [4,6,7]. Evidence from in vitro and in vivo studies indicates that NOXA deficiency or MCL1 over-expression may protect cells from apoptosis in a p53- dependent or independent manner, whereas NOXA accumulation and MCL1 inhibition/degradation may help restore sensitivity to apoptosis [7-9]. The role of NOXA-MCL1 axis-mediated apoptosis in cancer risk is not fully understood. High levels of MCL1 were found in solid human tumors and cell lines derived from human leukemia or lymphomas [10]; furthermore, studies in vivo showed that knockdown of NOXA or co-expression of MCL1 and oncogene MYC can significantly accelerate the development of tumors such as lymphoma or leukemia [10-12]. This implies that NOXA and MCL1 may be extensively involved in the tumorigenesis of different origins. However, whether NOXA and MCL1 play a role in the etiology of head and neck cancer remains unclear.
As the eighth most common cancer worldwide, SCCHN accounts for nearly 3% of all incident malignancies in the U.S. with approximately 24,000 cases of oral cavity cancer, 13,000 of oropharyngeal cancer, and 12,000 of laryngeal cancer [13]. Studies have demonstrated that SCCHN is a heterogeneous group of distinct subtypes with distinct risk factors. In addition to the most well defined risk factors, tobacco smoking and alcohol drinking, the infection of human papillomavirus (HPV), 90% of which is the oncogenic type 16, is recently reported to be detectable in approximately one fourth to one third of SCCHN [14,15], and recognized as one of the most potentially contributive risk factors for SCCHN arising at the oropharyngeal site [16-22]. The major HPV oncoproteins E6 and E7 cooperate in HPV-related carcinogenesis. By E6-induced p53 degradation and E7-induced pRb-E2F degradation, HPV infection may possibly cause deregulation of p53-pathway and pRb-E2F-pathway, respectively, consequently resulting in tumorigenesis [23-25]. The fact that only a small proportion of individuals with HPV infection developed SCCHN suggests that genetic factors may potentially play a role in susceptibility to HPV-associated SCCHN. Our previous studies also have shown that genetic variants of genes involved in the p53 pathway, such as p53, p73 and MDM2, can modify the association of SCCHN risk with HPV seropositivity [26-28]. However, there have been no published population studies investigating the association between functional polymorphisms in the NOXA or MCL1 promoter and the risk of HPV-associated SCCHN.
Cumulating evidence indicates that HPV E6/E7 may regulate the expression of NOXA and MCL1 in different cancer cells. Inhibition of either E6 or E6-associated protein can trigger a slight increase of NOXA levels, despite inducing a prominent accumulation of p53, in HeLa human cervix cancer cell [29]. More recently, Cheng et al. [30] proved that, through the PI3K pathway, MCL1 expression levels are up-regulated in HPV E6- and E7- expressing and HPV16-infected cancer cells; and consistently, MCL1 expression is significantly reduced by knockdown of HPV E6 or E7 expression [31]. In addition, the promoter regions of both NOXA and MCL1 contain an array of confirmed or putative transcription factor binding sites, such as p73, E2F1, and STAT response elements [7,32]. Since both NOXA and MCL1 can be transcription-regulated, we hypothesized that HPV infection may deregulate NOXA-MCL1 axis-mediated apoptosis and subsequently affect the risk of SCCHN.
To test this hypothesis, we genotyped the putatively functional polymorphisms in the NOXA and MCL1 promoters, and aimed to determine whether these genetic variants can, independently or jointly with HPV16 seropositivity, influence the risk of SCCHN, especially for those arising at the oropharyngeal site.
Methods
Patients and control samples
Details of this SCCHN case–control study population were previously described elsewhere [27]. Briefly, all histopathologically confirmed incident SCCHN patients were recruited consecutively as part of an ongoing molecular epidemiology study of SCCHN at the Head and Neck Surgery Clinic at The University of Texas M.D. Anderson Cancer Center between May 1996 and May 2002. The response rate of eligible patients who signed an informed agreement for participating in the study was approximately 95%. Excluded patients included those with second primary tumors; primary tumors of the sinonasal tract and nasopharynx; primary tumors outside the upper aerodigestive tract; cervical metastases of unknown origin; and histopathologic diagnoses of tumors other than squamous cell carcinoma, as well as patients with known immune symptoms, who had received recent blood transfusions within the last 6 months, or who were receiving immunosuppressive therapy. Finally, 380 non-Hispanic white SCCHN patients in whom HPV serology had been performed were included in this study.
Controls were recruited from a pool of cancer-free subjects from the hospitals in Houston metropolitan area. In this cancer-free control pool, a short questionnaire was used to determine each individual’s willingness to participate in the study before he or she was interviewed and asked to provide demographic and epidemiologic information including age, sex, ethnicity, smoking history, and alcohol consumption. Exclusion criteria for the control group included having had cancer previously, having known immune symptoms, received blood transfusions within the last 6 months, or were currently receiving immunosuppressive therapy. Approximately 78% of eligible subjects responded to the survey. As a result, 335 cancer-free control individuals were selected from the pool of potential controls by frequency matching on age (±5 years), gender, ethnicity, and smoking and alcohol drinking status. These variables were further adjusted in later multivariable logistic regression analyses to control for any residual confounding.
The “smoker” and “drinker” are defined in consistent with CDC report [33] and our previously published studies [26-28]. Briefly, “ever smokers” were those who had smoked more than 100 cigarettes in their lifetime, and the rest were “never smokers”; “ever drinkers” were those who drank alcoholic beverages at least once per week lasting for more than one year, and others were “never drinkers”. After a written informed consent was given, each individual provided a one-time 30-ml blood sample collected in heparinized tubes. The research protocol was approved by the institutional review board of M.D. Anderson Cancer Center.
Selection and genotyping of candidate SNPs
The NCBI dbSNP database (http://www.ncbi.nlm.nih.gov/projects/SNP) build 131 and bioinformatics tool (http://manticore.niehs.nih.gov/snpfunc) were used to identify potentially functional SNPs in NOXA and MCL1 promoter regions. We first scanned for all reported common SNPs (minor allele frequency, MAF > 0.05 in CEU population) that are predicted to affect the function of binding to transcription factors and located in the coding region or in the 5’-untranslated region known as the transcriptional regulatory region in the upstream of the start codon (from −2000 to +1), as well as for SNPs located in 3’-UTR in the downstream of coding region (+1 kb downstream) for potential miRNA binding sites; and then the linkage disequilibrium (LD) between pro-target SNPs was assessed by using the public HapMap SNP database (http://www.hapmap.org). As a result, of the 64 SNPs reported in NOXA and 91 SNPs reported in MCL1, there were no common non-synonymous SNPs located in the coding regions and no common SNPs located in the 3’-UTR that may potentially alter the miRNA-binding profile; finally, there were two SNPs in the NOXA promoter region (rs9957673, rs4558496) and two SNPs in the MCL1 promoter region (rs9803935, rs4558496) predicted to be potentially functional and selected for genotyping. Genomic DNA obtained from the buffy coat of whole blood samples was extracted by the Qiagen DNA blood mini kit (Valencia, CA). Genotyping of NOXA and MCL1 polymorphisms was performed by using the TaqMan assay, and the pre-designed probes were purchased from Applied Biosystems (ABI, Foster City, CA, USA). The pre-designed SNP genotyping assay IDs are C_30385519_20 for rs9957673, C_27902210_10 for rs4558496, C_1545306_10 for rs9803935, and C_27471449_10 for rs3738485. PCRs were run in a final volume of 5 μl per reaction, containing 10 ng genomic DNA, TaqMan Universal Master Mix, 80 × SNP Genotyping Assay Mix, and DNAse-free water. Four blank and positive controls and three random repeated samples were included in each plate for the genotyping assay quality control. The samples were genotyped by using the ABI 7900HT Sequence Detection System and Prism SDS 2.3 software.
HPV16 serologic testing
In current study, a standard enzyme-linked immunoadsorption assay, as previously described, was used to identify the HPV16 L1 seropositivity [34]. The plasma HPV16 L1 capsid protein antibody was tested by using HPV16 L1 virus-like particles generated from recombinant baculovirus-infected insect cells. The HPV16 L1 seropositivity cutoff level was determined by using a standard pooled serum known to be at the cutoff point for HPV16 L1 seropositivity in a previous study [34]. Samples within 15% of the cutoff point were tested two more times, only those defined as positive in all three tests were considered positive. To avoid the heparin’s interfering for binding, plasma samples were treated with heparinase I before testing. No discernible reaction-difference was detected between the serum samples and the heparinized plasma samples obtained from three individuals. For quality control, 10% of the samples were randomly chosen for retesting and 100% concordance was observed in the repeat tests.
Statistical analysis
The differences in distributions of selected variables, HPV16 serological status and NOXA and MCL1 genotypes between cases and controls were examined by using the χ2 test. Odds ratios (OR) and their 95% confidence intervals (CI) were calculated to evaluate the association of NOXA and MCL1 genotypes and HPV16 seropositivity with the risk of SCCHN in both univariate and multivariable logistic regression models. The joint effects of examined genotypes and HPV16 seropositivity on risk of SCCHN were evaluated, which were further assessed in subgroups stratified by tumor sites, age, smoking and drinking status. The “linkage disequilibrium” (LD) procedure in the HelixTree v7.3.0 (Golden Helix Inc., Bozeman, MT, USA) was used to estimate the LD by means of LD coefficients (D’) and the r2. All of the statistical analyses were performed by using Statistical Analysis System software (Version 9.1; SAS Institute, Cary, NC), and two-sided P value < 0.05 was considered statistically significant.
Results
Demographic and risk factors for study subjects
We originally recruited 380 eligible cases and 335 controls of non-Hispanic whites in this study, of these subjects, eight cases and twenty controls failed in the genotyping assays. Therefore, 372 cases and 315 controls were included in the final genotyping analysis. The demographic characteristics and distribution of known SCCHN risk factors of the study population are summarized in Table 1. The cases and controls appeared to be adequately frequency-matched for sex, age, smoking status, and alcohol use. However, we found that cases were much more likely than controls to be HPV16 seropositive (P < 0.0001). HPV16 seropositivity was significantly associated with increased risk of oropharyngeal cancer (adjusted OR = 5.7; 95% CI, 3.6-8.9) but not SCCHN at non-oropharyngeal sites (adjusted OR = 0.7; 95% CI, 0.4-1.3).
Table 1.
Frequency distribution of demographic and risk factors in SCCHN cases and controls
| Characteristics |
Patients (n = 380) |
Controlsa (n = 335) |
P valueb | ||
|---|---|---|---|---|---|
| No. | % | No. | % | ||
| Age (years) |
|
|
|
|
0.526 |
| <40 |
32 |
8.4 |
27 |
8.1 |
|
| 41–55 |
142 |
37.4 |
109 |
32.5 |
|
| 56–70 |
159 |
41.8 |
157 |
46.9 |
|
| >70 |
47 |
12.4 |
42 |
12.5 |
|
| Sex |
|
|
|
|
0.100 |
| Male |
285 |
75.0 |
269 |
80.3 |
|
| Female |
95 |
25.0 |
66 |
19.7 |
|
| Ethnicity |
|
|
|
|
|
| Non-Hispanic white |
380 |
100.0 |
335 |
100.0 |
|
| Tobacco smoking |
|
|
|
|
0.588 |
| Ever |
278 |
73.2 |
239 |
71.3 |
|
| Never |
102 |
26.8 |
96 |
28.7 |
|
| Alcohol drinking |
|
|
|
|
|
| Ever |
296 |
77.9 |
240 |
71.6 |
0.054 |
| Never |
84 |
22.1 |
95 |
28.4 |
|
| Tumor site |
|
|
|
|
|
| Oropharyngeal |
187 |
49.2 |
|
|
|
| Non-Oropharyngeal | 193 | 50.8 | |||
a The controls were frequency matched to the patients on the factors shown in this table.
b Two-sided χ2 test.
Joint effects of gene variants and HPV16 seropositivity on the risk of SCCHN
The distributions of NOXA and MCL1 genotypes and their associations with risk of SCCHN are shown in Table 2. The frequencies of all tested SNPs among controls were in agreement with Hardy-Weinberg equilibrium (P = 0.069 for rs9957673, P = 0.139 for rs4558496, P = 0.898 for rs9803935, and P = 0.871 for rs3738485). Because the LD evaluation for the SNPs in NOXA or MCL1 is unavailable in the HpaMap database, we calculated the LD values for the SNPs studied. The NOXA rs9957673 and NOXA rs4558496 were in low linkage (D’ = 0.901, r2 = 0.04), while the MCL1 rs9803935 and MCL1 rs3738485 were in high linkage (D’ = 0.98, r2 = 0.95). There was no significant association observed between the putatively functional SNPs and the risk of overall or subtypes of the SCCHN (oropharyngeal or non-oropharyngeal cancers). However, we found that the variants of both NOXA and MCL1 genes modified the association between the HPV16 seropositivity and the risk of SCCHN.
Table 2.
Associations betweenNOXAandMCL1genotypes and SCCHN risk
| Gene Varianta |
Control |
Overall (n = 372) |
Oropharynx (n = 184) |
Non-oropharynx (n = 188) |
|||
|---|---|---|---|---|---|---|---|
| n = 315 (%) | Patients (%) | ORb (95%CI) | Patients (%) | ORb (95%CI) | Patients (%) | ORb (95%CI) | |
|
NOXA rs9957673 |
|
|
|
|
|
|
|
| CC |
216 (68.6) |
246 (66.1) |
1.0 |
118 (64.1) |
1.0 |
128 (68.1) |
1.0 |
| CT |
95 (30.2) |
115 (30.9) |
1.0 (0.7-1.4) |
60 (32.6) |
1.1 (0.7-1.7) |
55 (29.3) |
1.1 (0.9-1.6) |
| TT |
4 (1.3) |
11 (3.0) |
2.3 (0.7-7.4) |
6 (3.3) |
1.9 (0.4-8.1) |
5 (2.7) |
2.0 (0.5-8.3) |
| |
|
|
Ptrend =0.300 |
|
Ptrend = 0.180 |
|
Ptrend = 0.689 |
| CT + TT |
99 (31.4) |
126 (33.9) |
1.1 (0.8-1.5) |
66 (35.9) |
1.1 (0.7-1.7) |
60 (31.9) |
1.1 (0.7-1.6) |
|
NOXA rs4558496 |
|
|
|
|
|
|
|
| TT |
216 (68.6) |
253 (69.1) |
1.0 |
121 (65.8) |
1.0 |
136 (72.3) |
1.0 |
| TG |
85 (27.5) |
107 (29.3) |
1.0 (0.7-1.5) |
61 (33.2) |
1.23 (0.8-1.9) |
48 (25.5) |
0.9 (0.6-1.3) |
| GG |
14 (4.3) |
6 (1.6) |
0.4 (0.2-1.1) |
2 (1.1) |
0.34 (0.1-1.6) |
4 (2.1) |
0.4 (0.1-1.4) |
| |
|
|
Ptrend =0.411 |
|
Ptrend = 0.913 |
|
Ptrend = 0.224 |
| TG + GG |
99 (31.4) |
115 (30.9) |
1.0 (0.7-1.3) |
63 (34.3) |
1.1 (0.7-1.7) |
52 (27.7) |
0.8 (0.5-1.2) |
|
MCL1 rs9803935 |
|
|
|
|
|
|
|
| GG |
95 (30.2) |
127 (34.1) |
1.0 |
65 (35.3) |
1.0 |
62 (33.0) |
1.0 |
| GT |
157 (59.8) |
169 (45.4) |
0.8 (0.6-1.2) |
77 (41.9) |
0.8 (0.5-1.3) |
92 (48.9) |
0.9 (0.6-1.4) |
| TT |
63 (20.0) |
76 (20.4) |
0.9 (0.6-1.5) |
42 (22.8) |
1.1 (0.6-1.8) |
34 (18.1) |
0.9 (0.6-1.6) |
| |
|
|
Ptrend =0.516 |
|
Ptrend = 0.726 |
|
Ptrend = 0.463 |
| GG + GT |
252 (80.0) |
296 (79.6) |
1.0 |
142 (77.2) |
1.0 |
154 (81.9) |
1.0 |
| TT |
63 (20.0) |
76 (20.4) |
1.0 (0.7-1.5) |
42 (22.8) |
1.2 (0.7-1.9) |
34 (18.1) |
1.0 (0.6-1.6) |
|
MCL1 rs3738485 |
|
|
|
|
|
|
|
| GG |
93 (29.5) |
128 (34.4) |
1.0 |
65 (35.3) |
1.0 |
63 (33.5) |
1.0 |
| GC |
155 (49.2) |
168 (45.2) |
0.8 (0.6-1.2) |
77 (41.9) |
0.8 (0.5-1.3) |
91 (47.4) |
0.9 (0.6-1.3) |
| CC |
67 (21.3) |
76 (20.4) |
0.9 (0.6-1.3) |
42 (22.8) |
1.0 (0.6-1.7) |
34 (18.1) |
0.9 (0.5-1.5) |
| |
|
|
Ptrend =0.298 |
|
Ptrend = 0.528 |
|
Ptrend = 0.271 |
| GG + GC |
248 (78.7) |
296 (79.6) |
1.0 |
142 (77.2) |
1.0 |
154 (81.9) |
1.0 |
| CC | 67 (21.3) | 76 (20.4) | 1.0 (0.7-1.4) | 42 (22.8) | 1.1 (0.7-1.8) | 34 (18.1) | 0.9 (0.6-1.5) |
a The observed genotype frequencies among the controls were in agreement with Hardy-Weinberg equilibrium (P=0.069 for rs9957673, P=0.139 for rs4558496, P=0.898 for rs9803935, P=0.871 for rs3738485).
b ORs were adjusted for age, sex, smoking, drinking, and HPV16 serology.
As summarized in Table 3, we estimated the joint effects of the HPV16 seropositivity and genotypes of NOXA and MCL1 on SCCHN risk. By using the group with the NOXA rs9957673 CC genotype and HPV16 seronegativity as reference, those with the CT/TT genotypes and HPV16 seronegativity did not show association with increased SCCHN risk (OR = 1.0; 95% CI,0.7-1.4); however, those with the CC genotype and HPV16 seropositivity had a 2.4-fold increased SCCHN risk (95% CI, 1.4-4.0), and those with the CT/TT genotypes and HPV16 seropositivity had a 3.6-fold increased SCCHN risk (95% CI,1.9-6.8). Similarly, compared with those with the NOXA rs4558496 TT genotype and HPV16 seronegativity, those with the TT genotype and HPV16 seropositivity had an OR of 2.7 (95% CI, 1.4-5.4), and those with both TG/GG genotypes and HPV16 seropositivity had an OR of 2.8 (95% CI, 1.4-5.5). For the two linked SNPs in MCL1 promoter, when subjects with the MCL1 rs9803935 GG/GT genotypes and HPV16 seronegativity as the reference group, those with the TT genotype and HPV16 seronegativity had an OR of 0.8 (95% CI, 0.5-1.2), those with the GG/GT genotypes and HPV16 seropositivity had an OR of 2.1 (95% CI, 1.3-3.3), and those with the TT genotype and HPV16 seropositivity had an OR of 8.1 (95% CI, 2.8-23.7). The similar results were also observed for MCL1 rs3738485 polymorphism (Table 3).
Table 3.
Joint effects between HPV16 seropositivity andNOXA and MCL1genotypes on risk of SCCHN
| HPV16 Serology |
Gene Variant |
Control |
Overall (n = 372) |
Oropharynx (n = 184) |
non-oropharynx (n = 188) |
|||
|---|---|---|---|---|---|---|---|---|
| n = 315 (%) | Patients (%) | ORa (95%CI) | Patients (%) | ORa (95%CI) | Patients (%) | ORa (95%CI) | ||
| |
NOXA rs9957673 |
|
|
|
|
|
|
|
| - |
CC (Ref.) |
189 (60.0) |
187 (50.3) |
1.0 |
68 (37.4) |
1.0 |
119 (63.3) |
1.0 |
| - |
CT + TT |
85 (27.0) |
83 (22.3) |
1.0 (0.7-1.4) |
31 (17.0) |
1.0 (0.6-1.7) |
52 (27.7) |
1.0 (0.7-1.5) |
| + |
CC |
27 (8.6) |
59 (15.9) |
2.4 (1.4-4.0) |
50 (27.2) |
4.8 (2.8-8.3) |
9 (4.8) |
0.5 (0.2-1.2) |
| + |
CT + TT |
14 (4.4) |
43 (11.6) |
3.6 (1.9-6.8) |
35 (19.0) |
7.1 (3.6-14.3) |
8 (4.3) |
1.1 (0.4-2.8) |
| |
|
|
|
Ptrend =0.017 |
|
Ptrend < 0.001 |
|
Ptrend = 0.744 |
| |
NOXA rs4558496 |
|
|
|
|
|
|
|
| - |
TT (Ref.) |
188 (59.7) |
188 (50.8) |
1.0 |
66 (36.3) |
1.0 |
123 (65.4) |
1.0 |
| - |
TG + GG |
86 (27.3) |
86 (21.8) |
0.9 (0.6-1.4) |
33 (17.9) |
1.1 (0.7-1.8) |
48 (25.5) |
0.8 (0.5-1.3) |
| + |
TT |
28 (8.9) |
68 (18.3) |
2.7 (1.7-4.5) |
55 (29.9) |
5.6 (3.2-9.6) |
13 (6.9) |
0.8 (0.4-1.7) |
| + |
TG + GG |
13 (4.1) |
34 (9.1) |
2.8 (1.4-5.5) |
30 (16.3) |
6.1 (3.0-12.6) |
4 (2.1) |
0.4 (0.1-1.4) |
| |
|
|
|
Ptrend =0.086 |
|
Ptrend < 0.001 |
|
Ptrend = 0.197 |
| |
MCL1 rs9803935 |
|
|
|
|
|
|
|
| - |
GG + GT (Ref.) |
215 (68.2) |
224 (60.2) |
1.0 |
81 (44.0) |
1.0 |
143 (76.1) |
1.0 |
| - |
TT |
59 (18.7) |
46 (12.4) |
0.8 (0.5-1.2) |
18 (9.8) |
0.8 (0.5-1.5) |
28 (14.9) |
0.8 (0.5-1.3) |
| + |
GG + GT |
37 (11.8) |
72 (19.4) |
2.1 (1.3-3.3) |
61 (33.2) |
4.3 (2.6-7.1) |
11 (5.9) |
0.5 (0.2-1.0) |
| + |
TT |
4 (1.3) |
30 (8.1) |
8.1 (2.8-23.7) |
24 (13.0) |
14.9 (5.0-44.6) |
6 (3.2) |
2.7 (0.7-9.8) |
| |
|
|
|
Ptrend =0.030 |
|
Ptrend < 0.001 |
|
Ptrend = 0.317 |
| |
MCL1 rs3738485 |
|
|
|
|
|
|
|
| - |
GG + GC (Ref.) |
212 (67.3) |
223 (60.0) |
1.0 |
81 (44.0) |
1.0 |
142 (75.5) |
1.0 |
| - |
CC |
62 (19.7) |
47 (12.6) |
0.8 (0.5-1.2) |
18 (9.8) |
0.8 (0.4-1.4) |
29 (15.4) |
0.8 (0.5-1.3) |
| + |
GG + GC |
36 (11.4) |
73 (19.6) |
2.2 (1.4-3.4) |
61 (33.2) |
4.4 (2.7-7.2) |
12 (6.4) |
0.5 (0.3-1.1) |
| + |
CC |
5 (1.6) |
29 (7.8) |
6.3 (2.4-16.7) |
24 (13.0) |
11.7 (4.3-32.0) |
5 (2.7) |
1.9 (0.5-6.8) |
| Ptrend =0.071 | Ptrend < 0.001 | Ptrend = 0.189 | ||||||
a ORs were adjusted for age, sex, and tobacco smoking and alcohol drinking.
We further analyzed the joint effects between the SNPs and HPV16 seropositivity on the risks of both oropharyngeal and non-oropharyngeal cancers. We found that effect modification of the NOXA and MCL1 SNPs on risk of HPV-associated cancers was evident for oropharyngeal but not for SCCHN at non-oropharyngeal sites (Table 3).
Stratification of the joint effects of NOXA and MCL1 variants and HPV16 seropositivity on oropharyngeal cancer risk
Since the modification effect of NOXA and MCL1 variants on SCCHN risk associated with HPV16 seropositivity was particularly evident for oropharyngeal cancers, we further evaluated the effect modification of the variants on risk of oropharygeal cancer associated with HPV16 seropositivity stratified by smoking/drinking status and age (Table 4, 5, 6).
Table 4.
Joint effect between HPV16 seropositivity andNOXAandMCL1genotypes on risk of oropharyngeal cancer stratified by smoking status
| HPV16 Serology | Genotypes |
Never smokers |
Ever smokers |
Adjusted OR (95% CI) a |
|||
|---|---|---|---|---|---|---|---|
| Patients (n = 61) | Controls (n = 90) | Patients (n = 123) | Controls (n = 225) | Never smokers | Ever smokers | ||
| |
NOXA rs9957673 |
|
|
|
|
|
|
| - |
CC (Ref.) |
19 |
52 |
49 |
137 |
1.0 |
1.0 |
| - |
CT + TT |
7 |
30 |
24 |
55 |
0.7 (0.2-1.8) |
1.2 (0.7-2.2) |
| + |
CC |
18 |
7 |
32 |
20 |
8.3 (2.8-24.9) |
4.3 (2.4-8.4) |
| + |
CT + TT |
17 |
1 |
18 |
13 |
50.6 (6.1-422.0) |
4.1 (1.9-9.2) |
| |
|
|
|
|
|
Ptrend = 0.001 |
Ptrend = 0.004 |
| |
NOXA rs4558496 |
|
|
|
|
|
|
|
- |
TT (Ref.) |
19 |
57 |
47 |
131 |
1.0 |
1.0 |
|
- |
TG + GG |
7 |
25 |
26 |
61 |
0.7 (0.2-2.0) |
1.2 (0.7-2.1) |
| + |
TT |
26 |
7 |
29 |
21 |
13.4 (4.7-37.8) |
4.0 (2.0-7.7) |
| + |
TG + GG |
9 |
1 |
21 |
12 |
21.9 (2.5-192.6) |
4.7 (2.1-10.5) |
| |
|
|
|
|
|
Ptrend = 0.008 |
Ptrend = 0.002 |
| |
MCL1 rs3738485 |
|
|
|
|
|
|
| - |
GG + GT (Ref.) |
20 |
66 |
61 |
149 |
1.0 |
1.0 |
| - |
TT |
6 |
16 |
12 |
43 |
1.4 (0.5-4.3) |
0.7 (0.3-1.4) |
| + |
GG + GT |
27 |
7 |
34 |
30 |
15.4 (5.5-43.6) |
2.8 (1.6-5.1) |
| + |
TT |
8 |
1 |
16 |
3 |
28.0 (3.2-246.6) |
12.1 (3.4-43.3) |
| |
|
|
|
|
|
Ptrend < 0.001 |
Ptrend = 0.003 |
| |
MCL1 rs3738485 |
|
|
|
|
|
|
|
- |
GG + GC (Ref.) |
20 |
65 |
61 |
147 |
1.0 |
1.0 |
|
- |
CC |
6 |
17 |
12 |
45 |
1.3 (0.4-4.1) |
0.6 (0.3-1.3) |
| + |
GG + GC |
27 |
7 |
34 |
29 |
15.3 (5.4-43.5) |
2.9 (1.6-5.2) |
| + |
CC |
8 |
1 |
16 |
4 |
27.7 (3.1-244.7) |
8.8 (2.8-27.8) |
| Ptrend < 0.001 | Ptrend = 0.008 | ||||||
a ORs were adjusted for age, sex, and alcohol drinking.
Table 5.
Joint effect between HPV16 seropositivity andNOXAandMCL1genotypes on risk of oropharyngeal cancer stratified by drinking status
| HPV16 Serology | Genotypes |
Never drinkers |
Ever drinkers |
Adjusted OR (95% CI) a |
|||
|---|---|---|---|---|---|---|---|
| Patients (n = 36) | Controls (n = 90) | Patients (n = 148) | Controls (n = 225) | Never drinkers | Ever drinkers | ||
| |
NOXA rs9957673 |
|
|
|
|
|
|
| - |
CC (Ref.) |
14 |
57 |
54 |
132 |
1.0 |
1.0 |
| - |
CT + TT |
3 |
24 |
28 |
61 |
0.5 (0.1-1.8) |
1.2 (0.7-2.0) |
| + |
CC |
9 |
5 |
41 |
22 |
8.1 (2.2-29.5) |
4.3 (2.3-8.0) |
| + |
CT + TT |
10 |
4 |
25 |
10 |
12.7 (3.2-50.0) |
5.9 (2.6-13.3) |
| |
|
|
|
|
|
Ptrend = 0.015 |
Ptrend = 0.001 |
| |
NOXA rs4558496 |
|
|
|
|
|
|
|
- |
TT (Ref.) |
9 |
56 |
57 |
132 |
1.0 |
1.0 |
|
- |
TG + GG |
8 |
25 |
25 |
61 |
1.8 (0.6-5.4) |
1.0 (0.6-1.7) |
| + |
TT |
16 |
7 |
39 |
21 |
15.4 (4.8-49.2) |
4.1 (2.2-7.7) |
| + |
TG + GG |
3 |
2 |
27 |
11 |
12.9 (1.7-99.5) |
5.4 (2.5-11.6) |
| |
|
|
|
|
|
Ptrend = 0.019 |
Ptrend = 0.001 |
| |
MCL1 rs9803935 |
|
|
|
|
|
|
| - |
GG + GT (Ref.) |
12 |
65 |
69 |
150 |
1.0 |
1.0 |
| - |
TT |
5 |
16 |
13 |
43 |
1.8 (0.5-5.8) |
0.7 (0.3-1.4) |
| + |
GG + GT |
16 |
9 |
45 |
28 |
11.7 (3.9-34.7) |
3.3 (1.9-5.8) |
| + |
TT |
3 |
NA |
21 |
4 |
NA |
10.8 (3.5-33.0) |
| |
|
|
|
|
|
Ptrend = 0.002 |
Ptrend = 0.001 |
| |
MCL1 rs3738485 |
|
|
|
|
|
|
|
- |
GG + GC (Ref.) |
12 |
63 |
69 |
149 |
1.0 |
1.0 |
|
- |
CC |
5 |
18 |
13 |
44 |
1.6 (0.5-5.1) |
0.7 (0.3-1.3) |
| + |
GG + GC |
16 |
9 |
45 |
27 |
11.4 (3.8-34.1) |
3.4 (1.9-6.0) |
| + |
CC |
3 |
NA |
21 |
5 |
NA |
8.6 (3.1-23.9) |
| Ptrend = 0.760 | Ptrend = 0.001 | ||||||
a ORs were adjusted for age, sex, and tobacco smoking.
Table 6.
Joint effect between HPV16 seropositivity andNOXAandMCL1genotypes on risk of oropharyngeal cancer stratified by age
| HPV16 Serology | Genotypes |
Age ≤ 58 |
Age > 58 |
Adjusted OR (95% CI) a |
|||
|---|---|---|---|---|---|---|---|
| Patients (n = 116) | Controls (n = 145) | Patients (n = 68) | Controls (n = 170) | Age ≤ 58 | Age > 58 | ||
| |
NOXA rs9957673 |
|
|
|
|
|
|
| - |
CC (Ref.) |
39 |
89 |
29 |
100 |
1.0 |
1.0 |
| - |
CT + TT |
15 |
38 |
16 |
47 |
0.9 (0.5-2.0) |
1.2 (0.6-2.5) |
| + |
CC |
36 |
14 |
14 |
13 |
6.4 (3.0-13.6) |
4.0 (1.7-9.8) |
| + |
CT + TT |
26 |
4 |
9 |
10 |
14.9 (4.7-46.6) |
3.6 (1.3-10.0) |
| |
|
|
|
|
|
Ptrend < 0.001 |
Ptrend = 0.077 |
| |
NOXA rs4558496 |
|
|
|
|
|
|
|
- |
TT (Ref.) |
36 |
90 |
30 |
98 |
1.0 |
1.0 |
|
- |
TG + GG |
18 |
37 |
15 |
49 |
1.2 (0.6-2.4) |
1.0 (0.5-2.1) |
| + |
TT |
38 |
11 |
17 |
17 |
9.5 (4.2-21.2) |
3.5 (1.6-7.9) |
| + |
TG + GG |
24 |
7 |
6 |
6 |
8.2 (3.2-21.3) |
3.9 (1.1-13.8) |
| |
|
|
|
|
|
Ptrend < 0.001 |
Ptrend = 0.222 |
| |
MCL1 rs9803935 |
|
|
|
|
|
|
| - |
GG + GT (Ref.) |
44 |
102 |
37 |
113 |
1.0 |
1.0 |
| - |
TT |
10 |
25 |
8 |
34 |
0.9 (0.4-2.0) |
0.8 (0.3-1.8) |
| + |
GG + GT |
42 |
17 |
19 |
20 |
5.9 (3.0 -11.8) |
3.3 (1.6-8.0) |
| + |
TT |
20 |
1 |
4 |
3 |
47.2 (6.1 -368.2) |
3.9 (0.8-19.0) |
| |
|
|
|
|
|
Ptrend < 0.001 |
Ptrend = 0.338 |
| |
MCL1 rs3738485 |
|
|
|
|
|
|
|
- |
GG + GC (Ref.) |
44 |
100 |
37 |
112 |
1.0 |
1.0 |
|
- |
CC |
10 |
27 |
8 |
35 |
0.8 (0.4-1.9) |
0.7 (0.3-1.7) |
| + |
GG + GC |
42 |
16 |
19 |
20 |
6.2 (3.1-12.5) |
3.3 (1.5-7.0) |
| + |
CC |
20 |
2 |
4 |
3 |
22.7 (5.0-103.5) |
3.8 (0.8-18.7) |
| Ptrend < 0.001 | Ptrend = 0.270 | ||||||
a ORs were adjusted for age, sex, tobacco smoking and alcohol drinking.
For each polymorphism, the modifying effects on the risk of oropharyngeal cancer associated with HPV16 seropositivity were much stronger in never smokers than in ever smokers (Table 4) and in never drinkers than in ever drinkers (Table 5). Additionally, in the age-stratified analysis (stratified by the mean age of controls), the modifying effects of NOXA and MCL1 variants on risk of oropharyngeal cancer associated with HPV16 seropositivity was more pronounced among younger subjects (aged ≤ 58 year) than among older subjects (aged > 58 year) (Table 6).
Discussion
In this study, we did not observe significant main effects of the SNPs in the promoter regions of NOXA and MCL1 genes on the risk of SCCHN. However, all tested polymorphisms showed effect modification on risk of HPV-associated SCCHN, particularly for oropharyngeal cancer patients who were never smokers, never drinkers, and younger subjects (aged ≤ 58 year). Although these data suggest a potential joint effect between HPV16 infection and NOXA or MCL1 polymorphisms, larger studies are still needed to validate our findings.
The deregulation of apoptosis is known as an important cause of neoplasia. In the intrinsic apoptotic pathway, apoptosis is usually mediated by cooperation among proapoptotic members (such as NOXA) and antiapoptotic members (such as MCL1) of the Bcl-2 family proteins. Differing from other BH3-only members, such as PUMA, NOXA usually executes its proapoptotic function by exclusively binding to MCL1, A1 or Bcl-XL, but with higher priority and affinity to MCL1 [2,7,35]. Studies from multiple cancer cells have shown that the NOXA inhibition or MCL1 overexpression can dramatically reduce apoptosis and consequently promote the tumor viability [36-38], which suggests a possible effect of NOXA-MCL1 axis on susceptibility to cancers. In consistence with this scenario, we found in current study that, to some extent, the risk of HPV16-associated SCCHN, particular oropharyngeal cancer, can be modified by genetic variants of NOXA and MCL1.
The decrease of SCCHN incidence in recent years accompanied by decline of tobacco use has not been observed for all head and neck cancer sites. However, the results from the America and European cohort studies suggested that the oropharyngeal cancer incidence (especially in younger white populations) has steadily increased and shown to be associated with the involvement of HPVs, particularly the high risk type 16 [17,19,39-41]. The HPV oncoproteins E6 and E7 may play decisive roles in HPV16-associated SCCHN by E6-mediated p53 degradation or E7-mediated pRb-E2F degradation and disruption of the p53-related or pRb-related pathway [23,24].
Interestingly, NOXA and MCL1 are targets of p53 and E2F, and p53 can affect the expression of its instant downstream target NOXA by directly binding to the promoter response element. In addition, other common transcription factors, such as E2F and p73, may also transcriptively regulate the expression of NOXA as well as MCL1, through respective response elements in the promoter regions of NOXA or MCL1[7,32], thereby altering susceptibility to SCCHN. It is therefore mechanically conceivable and biologically plausible that HPV16 infection and the functional SNPs in the promoters of NOXA and MCL1 may jointly affect apoptosis induction, accordingly altering susceptibility to SCCHN. In agreement with that, we did observe a pronounced modification effect of these genetic variants on the risk of SCCHN, especially oropharyngeal cancer, associated with HPV16 seropositivity.
Some other studies provided evidence for such kind of joint effects. In a very recent study, by blocking HPV E6-mediated p53 degradation to activate the transcription of NOXA, RITA (a small-molecule reactivation of p53 and induction of tumor cell apoptosis) induced apoptosis in multiple cancer cells containing HPV16 and substantially suppressed the growth of cervical carcinoma xenografts in vivo [29]. Not only the E6 oncoprotein, but the E7 oncoprotein can also interact with NOXA. By disrupting pRb-E2F complexes, the expression of HPV16 E7 protein up-regulates the NOXA expression, whereas, the binding of E2F to the NOXA promoter results in a significant reduction of NOXA-mediated apoptosis [42], suggesting that HPV E7 may indeed deregulate the NOXA expression. In addition, HPV E6- or E7-transfection can significantly up-regulate the expression of MCL1, therefore promoting lung tumor cell progression through PI3K pathway [30,31]. These data suggest a possibility that, by deregulating apoptosis and inferring tumor growth, HPV16 infection may alter the progress of NOXA-MCL1 axis-mediated carcinogenesis through both p53- dependent and independent mechanisms. Indeed, we observed in current study that the risk associated with the joint effects between HPV16 seropositivity and variants of NOXA and MCL1 dramatically increased for SCCHN at the oropharyngeal (HPV-related) site but not at non-oropharyngeal (HPV-unrelated) sites. Although our study implied significant trends of effect modification, we did not have adequate power to detect the interaction.
In consistence with our previously published studies in which HPV16 and genetic variants of p53 pathway genes, such as p53 or MDM2, may have interactive effects on risk of oropharyngeal cancer, particularly in never smokers and never drinkers [27,28], we also found in current study more pronounced modification effects of NOXA and MCL1 variants on the risk associated with HPV16 seropositivity for oropharyngeal cancer, particularly in never smokers and never drinkers. In addition, when the subjects were dichotomized by the mean age of the controls, we observed more apparent joint effects in younger, than older subjects. Though the mechanism is unclear, many researchers recently documented an apparent increase of incidence of HPV-related oropharyngeal cancer, particularly in young adults, perhaps due to distinct changes in sexual behaviors [43,44]. To the best of our knowledge, the current study is the first to evaluate the association between polymorphisms in the promoter region of NOXA and MCL1 and risk of SCCHN, as well as the joint effects between the genetic variants and HPV16 infection in the etiology of SCCHN.
However, there are several limitations in our present study. Firstly, although our results suggest a potential effect on SCCHN risk associated with HPV16, the underlying mechanism of NOXA and MCL1 in the development of SCCHN is still unclear. Thus future studies are needed to focus on how these polymorphisms affect functional changes of the two genes. Secondly, the HPV16 serology assay used in our study could test the pre-exposure status but could not define the accurate infected organs or determine if the viral exposure took place before or after tumor development. Therefore, with this uncertainty applied to both the cases and controls, possible false-negative HPV16 cases might result in misclassification of the HPV16 status. However, the use of serology assay allowed for the inclusion of a cancer-free control group. Additionally, the relative small sample size could not provide enough statistical power for further stratified analysis or interaction analysis; thus we cannot exclude the possibility that our results could be by chance. Finally, we cannot deduce similar conclusions with certainty to other ethnic populations, because our study included only non-Hispanic white participants.
Conclusions
We found that putatively functional polymorphisms of NOXA and MCL1 may modify the risk of SCCHN associated with HPV seropositive, especially the risk of oropharyngeal cancer among never smokers, never drinkers and younger individuals. Regardless of the mechanism, our results implied that a potential joint effect among NOXA, MCL1 variants and HPV16 seropositivity may contribute the SCCHN risk. The identification of population subgroups at higher risk provide evidence that HPV-targeting treatment may help benefit SCCHN. However, well-designed studies with larger sample sizes in different ethnic populations are needed to validate our findings.
Pre-publication history
The pre-publication history for this paper can be accessed here:
Contributor Information
Ziyuan Zhou, Email: zzhou3@mdanderson.org.
Erich M Sturgis, Email: esturgis@mdanderson.org.
Zhensheng Liu, Email: zhliu@mdanderson.org.
Li-E Wang, Email: lwang@mdanderson.org.
Qingyi Wei, Email: qwei@mdanderson.org.
Guojun Li, Email: gli@mdanderson.org.
Acknowledgments
The authors thank Margaret Lung, Kathryn L. Tipton, Liliana Mugartegui, and Angeli Fairly for their help with subject recruitment; Jianzhong He for blood processing; John T. Schiller and Karen Adler-Storthz for their help establishing the HPV serology methods; and Valerie Mattice, Maude Veech and Diane Hackett for scientific editing. This work was supported by The University of Texas M.D. Anderson Cancer Center institutional Research Grant and the Clinician Investigator Award (K-12 CA88084) to E.M. S; the National Institutes of Health grants (R01 ES011740, R01 CA131274) to Q. W.; the National Institutes of Health grants (CA135679, CA133099) to G. L.; and the National Institutes of Health grant (P30 CA016672) to The University of Texas MD Anderson Cancer Center.
References
- Imyanitov EN. Gene polymorphisms, apoptotic capacity and cancer risk. Hum Genet. 2009;125(3):239–246. doi: 10.1007/s00439-009-0636-7. [DOI] [PubMed] [Google Scholar]
- Giam M, Huang DC, Bouillet P. BH3-only proteins and their roles in programmed cell death. Oncogene. 2008;27(Suppl 1):S128–S136. doi: 10.1038/onc.2009.50. [DOI] [PubMed] [Google Scholar]
- Lomonosova E, Chinnadurai G. BH3-only proteins in apoptosis and beyond: an overview. Oncogene. 2008;27(Suppl 1):S2–S19. doi: 10.1038/onc.2009.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Willis SN, Adams JM. Life in the balance: how BH3-only proteins induce apoptosis. Curr Opin Cell Biol. 2005;17(6):617–625. doi: 10.1016/j.ceb.2005.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Adams JM, Cory S. The Bcl-2 apoptotic switch in cancer development and therapy. Oncogene. 2007;26(9):1324–1337. doi: 10.1038/sj.onc.1210220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu Q, Moldoveanu T, Sprules T, Matta-Camacho E, Mansur-Azzam N, Gehring K. Apoptotic regulation by MCL-1 through heterodimerization. J Biol Chem. 2010;285(25):19615–19624. doi: 10.1074/jbc.M110.105452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ploner C, Kofler R, Villunger A. Noxa: at the tip of the balance between life and death. Oncogene. 2008;27(Suppl 1):S84–S92. doi: 10.1038/onc.2009.46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li R, Zang Y, Li C, Patel NS, Grandis JR, Johnson DE. ABT-737 synergizes with chemotherapy to kill head and neck squamous cell carcinoma cells via a Noxa-mediated pathway. Mol Pharmacol. 2009;75(5):1231–1239. doi: 10.1124/mol.108.052969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang H, Guttikonda S, Roberts L, Uziel T, Semizarov D, Elmore SW, Leverson JD, Lam LT. Mcl-1 is critical for survival in a subgroup of non-small-cell lung cancer cell lines. Oncogene. 2011;30(16):1963–1968. doi: 10.1038/onc.2010.559. [DOI] [PubMed] [Google Scholar]
- Beverly LJ, Varmus HE. MYC-induced myeloid leukemogenesis is accelerated by all six members of the antiapoptotic BCL family. Oncogene. 2009;28(9):1274–1279. doi: 10.1038/onc.2008.466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Michalak EM, Jansen ES, Happo L, Cragg MS, Tai L, Smyth GK, Strasser A, Adams JM, Scott CL. Puma and to a lesser extent Noxa are suppressors of Myc-induced lymphomagenesis. Cell Death Differ. 2009;16(5):684–696. doi: 10.1038/cdd.2008.195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Michalak EM, Vandenberg CJ, Delbridge AR, Wu L, Scott CL, Adams JM, Strasser A. Apoptosis-promoted tumorigenesis: gamma-irradiation-induced thymic lymphomagenesis requires Puma-driven leukocyte death. Genes Dev. 2010;24(15):1608–1613. doi: 10.1101/gad.1940110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jemal ASR, Xu J, Ward E. Cancer statistics, 2010. CA Cancer J Clin. 2010;60(5):277–300. doi: 10.3322/caac.20073. [DOI] [PubMed] [Google Scholar]
- Dayyani F, Etzel CJ, Liu M, Ho CH, Lippman SM, Tsao AS. Meta-analysis of the impact of human papillomavirus (HPV) on cancer risk and overall survival in head and neck squamous cell carcinomas (HNSCC) Head Neck Oncol. 2010;2:15. doi: 10.1186/1758-3284-2-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kreimer AR, Clifford GM, Boyle P, Franceschi S. Human papillomavirus types in head and neck squamous cell carcinomas worldwide: a systematic review. Cancer Epidemiol Biomarkers Prev. 2005;14(2):467–475. doi: 10.1158/1055-9965.EPI-04-0551. [DOI] [PubMed] [Google Scholar]
- Gillison ML, Koch WM, Capone RB, Spafford M, Westra WH, Wu L, Zahurak ML, Daniel RW, Viglione M, Symer DE. et al. Evidence for a causal association between human papillomavirus and a subset of head and neck cancers. J Natl Cancer Inst. 2000;92(9):709–720. doi: 10.1093/jnci/92.9.709. [DOI] [PubMed] [Google Scholar]
- Sturgis EM, Cinciripini PM. Trends in head and neck cancer incidence in relation to smoking prevalence: an emerging epidemic of human papillomavirus-associated cancers? Cancer. 2007;110(7):1429–1435. doi: 10.1002/cncr.22963. [DOI] [PubMed] [Google Scholar]
- Westra WH. The changing face of head and neck cancer in the 21st century: the impact of HPV on the epidemiology and pathology of oral cancer. Head Neck Pathol. 2009;3(1):78–81. doi: 10.1007/s12105-009-0100-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marur S, D’Souza G, Westra WH, Forastiere AA. HPV-associated head and neck cancer: a virus-related cancer epidemic. Lancet Oncol. 2010;11(8):781–789. doi: 10.1016/S1470-2045(10)70017-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Furniss CS, McClean MD, Smith JF, Bryan J, Nelson HH, Peters ES, Posner MR, Clark JR, Eisen EA, Kelsey KT. Human papillomavirus 16 and head and neck squamous cell carcinoma. Int J Cancer. 2007;120(11):2386–2392. doi: 10.1002/ijc.22633. [DOI] [PubMed] [Google Scholar]
- Herrero R, Castellsague X, Pawlita M, Lissowska J, Kee F, Balaram P, Rajkumar T, Sridhar H, Rose B, Pintos J. et al. Human papillomavirus and oral cancer: the International Agency for Research on Cancer multicenter study. J Natl Cancer Inst. 2003;95(23):1772–1783. doi: 10.1093/jnci/djg107. [DOI] [PubMed] [Google Scholar]
- Hobbs CG, Sterne JA, Bailey M, Heyderman RS, Birchall MA, Thomas SJ. Human papillomavirus and head and neck cancer: a systematic review and meta-analysis. Clin Otolaryngol. 2006;31(4):259–266. doi: 10.1111/j.1749-4486.2006.01246.x. [DOI] [PubMed] [Google Scholar]
- Narisawa-Saito M, Kiyono T. Basic mechanisms of high-risk human papillomavirus-induced carcinogenesis: roles of E6 and E7 proteins. Cancer Sci. 2007;98(10):1505–1511. doi: 10.1111/j.1349-7006.2007.00546.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Whiteside MA, Siegel EM, Unger ER. Human papillomavirus and molecular considerations for cancer risk. Cancer. 2008;113(10 Suppl):2981–2994. doi: 10.1002/cncr.23750. [DOI] [PubMed] [Google Scholar]
- Rampias T, Sasaki C, Weinberger P, Psyrri A. E6 and e7 gene silencing and transformed phenotype of human papillomavirus 16-positive oropharyngeal cancer cells. J Natl Cancer Inst. 2009;101(6):412–423. doi: 10.1093/jnci/djp017. [DOI] [PubMed] [Google Scholar]
- Chen X, Sturgis EM, Etzel CJ, Wei Q, Li G. p73 G4C14-to-A4T14 polymorphism and risk of human papillomavirus-associated squamous cell carcinoma of the oropharynx in never smokers and never drinkers. Cancer. 2008;113(12):3307–3314. doi: 10.1002/cncr.23976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen X, Sturgis EM, Lei D, Dahlstrom K, Wei Q, Li G. Human papillomavirus seropositivity synergizes with MDM2 variants to increase the risk of oral squamous cell carcinoma. Cancer Res. 2010;70(18):7199–7208. doi: 10.1158/0008-5472.CAN-09-4733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ji X, Neumann AS, Sturgis EM, Adler-Storthz K, Dahlstrom KR, Schiller JT, Wei Q, Li G. p53 codon 72 polymorphism associated with risk of human papillomavirus-associated squamous cell carcinoma of the oropharynx in never-smokers. Carcinogenesis. 2008;29(4):875–879. doi: 10.1093/carcin/bgn039. [DOI] [PubMed] [Google Scholar]
- Zhao CY, Szekely L, Bao W, Selivanova G. Rescue of p53 function by small-molecule RITA in cervical carcinoma by blocking E6-mediated degradation. Cancer Res. 2010;70(8):3372–3381. doi: 10.1158/0008-5472.CAN-09-2787. [DOI] [PubMed] [Google Scholar]
- Cheng YW, Lee H, Shiau MY, Wu TC, Huang TT, Chang YH. Human papillomavirus type 16/18 up-regulates the expression of interleukin-6 and antiapoptotic Mcl-1 in non-small cell lung cancer. Clin Cancer Res. 2008;14(15):4705–4712. doi: 10.1158/1078-0432.CCR-07-4675. [DOI] [PubMed] [Google Scholar]
- Chang YH, Yu CW, Lai LC, Tsao CH, Ho KT, Yang SC, Lee H, Cheng YW, Wu TC, Shiau MY. Up-regulation of interleukin-17 expression by human papillomavirus type 16 E6 in nonsmall cell lung cancer. Cancer. 2010;116(20):4800–4809. doi: 10.1002/cncr.25224. [DOI] [PubMed] [Google Scholar]
- Thomas LW, Lam C, Edwards SW. Mcl-1; the molecular regulation of protein function. FEBS Lett. 2010;584(14):2981–2989. doi: 10.1016/j.febslet.2010.05.061. [DOI] [PubMed] [Google Scholar]
- Centers for Disease Control and Prevention (CDC) Cigarette smoking among adults--United States, 1992, and changes in the definition of current cigarette smoking. MMWR Morb Mortal Wkly Rep. 1994;43(19):342–346. [PubMed] [Google Scholar]
- Kirnbauer R, Hubbert NL, Wheeler CM, Becker TM, Lowy DR, Schiller JT. A virus-like particle enzyme-linked immunosorbent assay detects serum antibodies in a majority of women infected with human papillomavirus type 16. J Natl Cancer Inst. 1994;86(7):494–499. doi: 10.1093/jnci/86.7.494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang L, Lopez H, George NM, Liu X, Pang X, Luo X. Selective involvement of BH3-only proteins and differential targets of Noxa in diverse apoptotic pathways. Cell Death Differ. 2011;18(5):864–873. doi: 10.1038/cdd.2010.152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gomez-Bougie P, Wuilleme-Toumi S, Menoret E, Trichet V, Robillard N, Philippe M, Bataille R, Amiot M. Noxa up-regulation and Mcl-1 cleavage are associated to apoptosis induction by bortezomib in multiple myeloma. Cancer Res. 2007;67(11):5418–5424. doi: 10.1158/0008-5472.CAN-06-4322. [DOI] [PubMed] [Google Scholar]
- Skoda C, Erovic BM, Wachek V, Vormittag L, Wrba F, Martinek H, Heiduschka G, Kloimstein P, Selzer E, Thurnher D. Down-regulation of Mcl-1 with antisense technology alters the effect of various cytotoxic agents used in treatment of squamous cell carcinoma of the head and neck. Oncol Rep. 2008;19(6):1499–1503. [PubMed] [Google Scholar]
- Campbell KJ, Bath ML, Turner ML, Vandenberg CJ, Bouillet P, Metcalf D, Scott CL, Cory S. Elevated Mcl-1 perturbs lymphopoiesis, promotes transformation of hematopoietic stem/progenitor cells, and enhances drug resistance. Blood. 2010;116(17):3197–3207. doi: 10.1182/blood-2010-04-281071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Auluck A, Hislop G, Bajdik C, Poh C, Zhang L, Rosin M. Trends in oropharyngeal and oral cavity cancer incidence of human papillomavirus (HPV)-related and HPV-unrelated sites in a multicultural population: the British Columbia experience. Cancer. 2010;116(11):2635–2644. doi: 10.1002/cncr.25087. [DOI] [PubMed] [Google Scholar]
- Blomberg M, Nielsen A, Munk C, Kjaer SK. Trends in head and neck cancer incidence in Denmark, 1978–2007 - focus on human papillomavirus associated sites. Int J Cancer. 2011;129(3):733–741. doi: 10.1002/ijc.25699. [DOI] [PubMed] [Google Scholar]
- Nasman A, Attner P, Hammarstedt L, Du J, Eriksson M, Giraud G, Ahrlund-Richter S, Marklund L, Romanitan M, Lindquist D. et al. Incidence of human papillomavirus (HPV) positive tonsillar carcinoma in Stockholm, Sweden: an epidemic of viral-induced carcinoma? Int J Cancer. 2009;125(2):362–366. doi: 10.1002/ijc.24339. [DOI] [PubMed] [Google Scholar]
- Hershko T, Ginsberg D. Up-regulation of Bcl-2 homology 3 (BH3)-only proteins by E2F1 mediates apoptosis. J Biol Chem. 2004;279(10):8627–8634. doi: 10.1074/jbc.M312866200. [DOI] [PubMed] [Google Scholar]
- Chaturvedi AK, Engels EA, Anderson WF, Gillison ML. Incidence trends for human papillomavirus-related and -unrelated oral squamous cell carcinomas in the United States. J Clin Oncol. 2008;26(4):612–619. doi: 10.1200/JCO.2007.14.1713. [DOI] [PubMed] [Google Scholar]
- Dahlstrom KR, Li G, Tortolero-Luna G, Wei Q, Sturgis EM. Differences in history of sexual behavior between patients with oropharyngeal squamous cell carcinoma and patients with squamous cell carcinoma at other head and neck sites. Head Neck. 2011;33(6):847–855. doi: 10.1002/hed.21550. [DOI] [PMC free article] [PubMed] [Google Scholar]