In anal cancer studies, the detection frequency of high-risk HPV (human papillomavirus) is variable, depending on the method used. There are limited data reporting results of different HPV detection techniques in the same clinical series, and very few correlating results with clinical outcome.
To evaluate tumor expression of p16/HPV16 using three different methods, and to determine their association with clinical outcome in patients with anal canal squamous cell carcinomas (SCC).
This retrospective study included patients with anal canal SCC treated with definitive radiotherapy or chemoradiotherapy at a single institution between 1992 and 2005. Formalin-fixed paraffin–embedded tumor samples from 53 of the 89 (60%) patient pre-treatment biopsies were adequate for tissue microarray construction. HPV status was determined using: p16 expression by conventional immunohistochemistry (IHC) and quantitative IHC (AQUA), HPV genotype analysis by chromogenic in situ hybridization (CISH) and HPV linear array sub-typing. Expression status was correlated with clinical outcome.
80% (28/35) of patient tumors had high p16 expression using conventional IHC. HPV16 CISH was positive in 81% (34/42) of tumors, and 78% (28/36) of tumors were HPV subtype 16. HPV16 CISH correlated with p16 evaluated by conventional IHC (correlation coefficient 0.46; p = 0.01) and by p16 AQUA score (correlation coefficient 0.49; p = 0.001). A subset of cases (15%) had very high p16 quantitative IHC scores (>244) and were associated with a higher incidence of local or distant recurrence (p = 0.04).
The vast majority (80%) of anal canal SCC in our series were positive for HPV16/p16, regardless of the testing method used. The exploratory analysis of automated quantitative IHC scoring was the only technique to define a subset of patients with a worse prognosis by p16 expression status on univariate analysis. Further exploration of the molecular mechanisms of treatment resistance in association with very high p16 expression is warranted.
Citation: Roldán Urgoiti GB, Gustafson K, Klimowicz AC, Petrillo SK, Magliocco AM, Doll CM (2014) The Prognostic Value of HPV Status and p16 Expression in Patients with Carcinoma of the Anal Canal. PLoS ONE 9(10): e108790. https://doi.org/10.1371/journal.pone.0108790
Editor: Xuefeng Liu, Georgetown University, United States of America
Received: May 7, 2014; Accepted: August 14, 2014; Published: October 1, 2014
Copyright: © 2014 Roldán Urgoiti et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. Ethical restrictions prevent public deposition of the data. An anonymized data set may be requested from the corresponding author.
Funding: This project was supported by the Alberta Cancer Foundation (ACF), and the ACF “Underwear Affair”. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Anal cancer, although a relatively rare malignancy, has been steadily increasing in incidence over the last fifty years , . Although chemoradiotherapy (CRT) has become the standard treatment for patients with this disease, there has been little improvement in survival in the last few decades , . There is emerging interest in the determination of tumoral molecular factors that may predict for response or resistance to standard CRT.
Recently, there have been multiple studies published on the prognostic significance of human papillomavirus (HPV) status and outcome in patients with squamous head and neck cancers, with improved outcome in patients with HPV-positive versus HPV-negative tumors –. However, the biological basis for this improved outcome in HPV-positive cases is not clear.
The impact of HPV status and HPV pathway activation on prognosis in patients with anal cancer has not been well studied. High risk HPV is a well known etiologic agent in the development of anal cancer, but the frequency of detection is dependent on the diagnostic method utilized. In anal cancer studies, high-risk HPV has been reported in about 22% of cases using immunohistochemistry (IHC) for E6 protein , and in up to 90% of cases using PCR ,  and DNA microarrays . P16 expression has been used by different authors to detect HPV-associated tumors specifically in anal canal carcinoma. Lu et al  evaluated the expression of p16, Rb and p53 proteins using IHC in 29 cases of anal squamous cell carcinoma, and used PCR to test HPV status. They found that 100% of HPV positive tumors had strong and diffuse staining for p16. In a more recent series of 76 patients with anal carcinoma, p16 was positive by IHC in 92% of the tumors (n = 68 tested) with two p16-positive samples negative for HPV16 by RT-PCR .
Although techniques involving direct HPV 16 DNA identification may be considered the “gold standard” for the determination of HPV status in human tumors, these tests are technically challenging and relatively expensive for diagnostic laboratories to perform on a routine basis , . P16 protein expression is gaining acceptance as a cost-effective surrogate marker for HPV infection . The diagnostic utility of p16Ink4a overexpression had been demonstrated in high risk HPV infections, including cervical dysplasia and carcinoma – while is actively being evaluated in head and neck tumors .
Given the differences in methods for determination of HPV status in patients with squamous cell cancers in the literature, we developed this study to evaluate and compare tumor expression of p16/HPV16 using three different methods and its association with clinical outcome in a cohort of patients with anal cancer, treated with radical radiotherapy (RT) or CRT. This is the first report using these techniques in the evaluation of HPV status in anal cancer patients.
Materials and Methods
Patient and treatment characteristics
This retrospective study included patients diagnosed with anal squamous cell cancer (SCC) treated with definitive RT or CRT, with curative intent, at a single institution (Tom Baker Cancer Centre, Calgary, AB, Canada) between 1992–2005. Patients had at least three years of follow-up data and no other active malignancy at the time of diagnosis. Approval for the study was obtained from the University of Calgary Conjoint Health Research Ethics board. Waiver of consent was granted by the Research Ethics board for this study; all patient information was anonymized and de-identified prior to analysis. Eighty-nine patients were identified from the Alberta Cancer Registry using these eligibility criteria, and clinicopathological data were retrieved from the patients' charts. Standard pre-treatment evaluation included physical examination, computed tomography (CT) of the abdomen and pelvis, tumor biopsy, and bloodwork [complete blood count (CBC), electrolytes, liver and renal function tests]. In addition, patients had weekly bloodwork on-treatment, including CBC, electrolytes, urea, and creatinine. After completing treatment, patients were generally followed clinically every three months for the first year, every four months for year two, and every six months to year five. Follow-up imaging was ordered as clinically indicated.
Tissue microarray (TMA) building
Formalin-fixed paraffin–embedded (FFPE) tumor samples from 53 of the 89 (60%) patient pre-treatment biopsies were adequate for tissue microarray (TMA) construction. After pathologist review (AM) to confirm squamous cell histology and the location of tumor for sampling, TMAs were assembled from triplicate 0.6 mm cores of FFPE primary tumor samples using a Beecher Manual Tissue Arrayer (Beecher Instruments, Sun Prairie, WI, USA).
Four µm thick sections were cut from the TMA blocks and deparaffinized in xylene, rinsed in ethanol, and rehydrated. Heat induced epitope retrieval was performed by heating slides to 121°C in a citrate-based buffer (pH 6.0) Target Retrieval Solution (Dako, Mississauga, ON, Canada) for 8 minutes in a decloaking chamber (Biocare Medical, Concord, CA, USA). Slides were stained using a Dako autostainer. Endogenous peroxidase activity and unspecific staining for conventional p16 IHC was quenched using a peroxidase block (Dako) for 5 minutes and for fluorescence p16 IHC was quenched with peroxidase block for 10 minutes followed by a 15 minute protein block (Dako). Slides were incubated with a 1∶100 dilution of anti-p16 mouse monoclonal (JC8 clone, Novus Biologicals, Littleton, CO, USA) in antibody diluents (Dako) at room temperature for 30 minutes for conventional IHC and 60 minutes for fluorescence-IHC. Slides were washed with TBST wash buffer (Dako), and goat anti-mouse antibody conjugated to a horseradish peroxidase-decorated dextran polymer backbone from the Dako EnVision+ system was applied for 30 minutes for conventional IHC. Dako Evision+ was applied with 1∶200 dilution of Alexa-555 conjugated goat anti-rabbit antibody (Invitrogen, Burlington, ON, Canada) for 60 minutes at room temperature for fluorescence-IHC. Slides were washed with TBST wash buffer (Dako), and DAB chromogen from the DAKO EnVision TM + system (Dako) was applied for 10 minutes for conventional IHC and TSA-Plus Cy5-tyramide signal amplification reagent (PerkinElmer, Woodbridge, ON, Canada) was applied for 5 minutes for fluorescence-IHC. The slides were washed with TBST wash buffer (Dako). For conventional IHC slides were then incubated for 2 minutes with Mayer's Hematoxylin (Dako) followed by two minutes of incubation with Harleco blueing reagent. Slides were then dehydrated in ethanol baths and rinsed in xylene. Slides were cover slipped and sealed using Cytoseal XYL mounting medium (Richard-Allan Scientific, City). For fluorescence IHC the slides were mounted in Vectashield Mounting Medium with DAPI (Vector Laboratories, Burlington, ON, Canada) and stored at 4°C until use.
Conventional p16 (diaminobenzydene, DAB) scoring
Slides were evaluated by a pathologist (AM) using light microscopy and scored on a 0–3 scale: 0, complete absence of tumor staining; 1, weak staining of tumor cells; 2, less than 50% tumors cells stained, moderate intensity; 3, greater than 50% tumor staining with moderate to intense staining.
AQUA p16 analysis
Automated image acquisition was performed using a HistoRx PM-2000, which has previously been described in detail , . Briefly, high resolution monochromatic 8-bit (resulting in 256 discrete intensity values per pixel of an acquired image) digital images were obtained for every histospot on the tissue microarrays using filters specific for 4',6-diamidino-2-phenylindole (DAPI) to define the nuclear compartment, Alexa-555 to define pan-cytokeratin positive cervical carcinoma cells and the tumor cytosolic compartment, and Cy5 to define the target biomarker P16. Pixels were then written to image files as a function of power [Power (P) = (Pixel Intensity/256)/exposure time)] in order to help compensate for experimental variations in staining intensity. Analysis of the digital images was performed with AQUAnalysis software version 188.8.131.52. Briefly, a tumor specific mask was generated to distinguish the carcinoma cells from supporting stromal tissue by thresholding the pan-cytokeratin images. Thresholding created a binary mask that identified the presence or absence of tumor cells by the presence of a pixel that was ‘on’ or ‘off’, respectively. Thresholding levels were verified, and adjusted if necessary, by spot-checking a small sample of images to determine an optimal threshold value. All images were then processed using this optimal threshold value. The PLACE (Pixel-based Local Assignment for Compartmentalization of Expression) algorithm then assigned each pixel in the target images to either the nuclear or cytoplasmic compartment. Once each pixel was assigned to a subcellular compartment, the signal in each location was tabulated and used to generate compartment specific AQUA scores, which reflect the average signal intensity per compartment area. The target p16 signal in the masked areas was tabulated and used to generate tumor-specific AQUA scores, which reflect the average signal intensity per tumor area. Figure 1. Images were validated according to the following: 1)>10% of the tissue area is pan-cytokeratin positive, 2)>50% of the image was usable (i.e. not compromised due to overlapping or out of focus tissue). Unusable areas within each image were manually cropped so that they were excluded from the final analysis.
4',6-diamidino-2-phenylindole (DAPI) defines the nuclear compartment, Alexa-555 defines pan-cytokeratin (PCK) positive anal carcinoma cells and the tumor cytosolic compartment. The “merge” panels are pseudo-colored red for p16, green for pan-cytokeratin (epithelial cell/tumor marker), and blue for DAPI (nuclear stain).
HPV CISH technique
For HPV genotype analysis, HPV chromogenic in situ hybridization (CISH) analysis was performed on 4 µm sections cut from TMAs. The slides were stained using the Ventana INFORM HPV III Family 6 and 16 probes and the iVIEW Blue+ v3 kit on the Ventana BenchMark staining platform with standard protocols (Ventana Medical Systems, Inc., Tucson, AZ, USA). The low-risk family 6 probe detects HPV genotypes 6 and 11 and the high-risk family 16 probe cocktail detects high-risk HPV genotypes 16, 18, 31, 33, 35, 39, 51, 52, 56, 58, and 66. Established controls, such as the HPV 3-in-1 System Control Slides, were processed and run with all clinical specimens. The CaSki section is a cell line that reportedly contains approximately 200–400 copies of HPV type 16 per cell and the HeLa section is a cell line that reportedly contains approximately 10–50 copies of HPV type 18 per cell. The C-33 A negative section is a cell line, which is an HPV-negative human cervical carcinoma. Slides were evaluated using light microscopy and scored on a 0–3 scale: 0, complete absence of signal in tumor cells; 1, faintly staining individual foci; 2, moderately staining tumor cells with numerous small foci to small clusters, 3, intensely staining clusters within tumor cells.
HPV linear array sub-typing
HPV sub-typing was completed using the Roche Linear Array genotyping assay (PCR-LA; Roche Molecular Systems, Inc., Branchburg, NJ). Approximately twenty 12 µm slices of each sample were treated twice with 1 mL 100% xylene, and then washed twice with 1 mL 100% ethanol to remove any excess xylene. Open tubes containing the washed tissue were incubated for 15 minutes at 37°C to evaporate residual ethanol. DNA was extracted from the tissue using the Roche AmpiLute Liquid Media Extraction Kit or Qiagen DNeasy Blood and Tissue Kit. Extracted DNA was put through Linear Array DNA PCR protocol using an Eppendorf Mastercycler epGradient thermal cycler according to manufacturer directions as described by Wong et al. . Detected subtypes were manually interpreted qualitatively using the reference guide provided in the Linear Array kit. Positive, negative, and blank controls were run each time to ensure lack of contamination and validity of results. When both high and low internal β-Globin control probe lines were visible on the test strip and no HPV sub-types were visible, samples were reported to be HPV negative.
The expression of each molecular marker was measured in triplicate and the maximum score was used for analysis. This applied for grading scores (i.e. IHC 0–3 score) as well as for AQUA continuous scores. Clinical complete response (CR) was defined as no clinical evidence of tumor on physical examination, and partial response (PR) was defined as a reduction of at least 50% of the clinical size of the primary tumor, determined at three months after completion of RT or CRT. Progression-free survival (PFS) was defined as the interval between diagnosis and evidence of recurrence/progression, death or lost to follow-up. Overall survival (OS) was calculated from date of diagnosis to death or lost to follow-up. X tile.Ink software was used to identify a cutpoint in AQUA continuous scores associated with increased PFS and OS for additional exploratory analysis.
Results were tabulated and analyzed with STATA Version 12.0 and were two-tailed. Non-parametric Spearman's correlation test was used to identify correlations between molecular markers. Chi-square or Fisher's exact tests were used to determine the significance of associations between categorical variables. Clinical and molecular variables were evaluated for association with survival using Kaplan-Meier survival analysis with log-rank statistic for determining significance. Variables that proved to be significant in univariate analysis were selected for Cox multivariate analysis (forward stepwise Wald) to assess their independent predictive value. P-values less than 0.05 were considered statistically significant.
Patient, tumor and treatment characteristics
89 patients were identified, of whom 53 (60%) had pre-treatment tumor specimen available for molecular analysis. Details are shown in Table 1. There were no significant differences in patient, tumor or treatment factors between tested and non-tested cases. Chemotherapy consisted of 5-fluorouracil, mitomycin C (MMC), folinic acid. In our center HIV is not a common diagnosis; patients are screened for high risk factors and tested accordingly. One patient was found to be HIV-positive on testing.
At three months post-treatment, clinical complete response was observed in 73% (55/75). There were 24 relapses (27%) in the whole group. Mean time to relapse was 73 months (95% CI 63–82). At a median follow-up of 59 months, forty-six patients (52%) had died. Median overall survival was 82 months (95% CI 61–103).
P16, HPV 16 and HPV Subtyping
Of 53 pre-treatment tumor specimens, molecular testing was performed as follows: conventional p16 (DAB) scores, n = 35; p16 AQUA, n = 46; HPV16 CISH, n = 42; HPV subtyping, n = 36. Thirteen random samples underwent re-testing, with identical results (not shown). Eight of the thirteen re-tested samples were completed on separate DNA extractions from the tissue blocks, and results were also identical in these cases, indicating no inter-extraction variation. Representative “high” and “low” cases using the different methods are shown in Figure 2, in tumors that were either positive or negative by HPV16 subtyping.
HPV 16 negative (top panels) and an HPV 16 positive (bottom panels) cases by subtyping, using HPV CISH (left panels), p16 IHC (middle panels), and p16 AQUA (right panels). P16 AQUA images are pseudo-colored red for p16, green for pan-cytokeratin (epithelial cell/tumor marker), and blue for DAPI (nuclear stain).
Using conventional IHC analysis for p16, 80% (28/35) of patient tumors over-expressed p16 (score 3). Mean p16 tumoral AQUA score was 128 (range 4 to 315); 15% of tumors had AQUA>244, very high on the AQUA score histogram (Figure 3). HPV16 CISH was positive in 81% (34/42) of tumors. Of tumor specimens analyzed for HPV subtype, 78% (28/36) were HPV 16; in 2 cases there was co-expression with HPV18.
Clinical and molecular factors and outcome, univariate and multivariate analyses
Worse 5-year PFS was associated with poor performance status, larger tumor size, lower pre-treatment hemoglobin status (<120 g/L), positive nodal status and very high tumoral p16 status by AQUA (score>244) (Table 2). Notably, very high tumoral p16 status by AQUA was associated with worse PFS and OS in patients with higher pre-treatment hemoglobin (≥120 g/L), [HR 8.4 (95% CI 1.8–38.6), p = 0.006], Figure 4; OS [HR 4.5 (95% CI 1.4–15), p = 0.01], Figure 5. In addition, very high AQUA score status was associated with a higher incidence of local or distant recurrence (p = 0.04). Worse OS was associated with poor performance status, larger tumors, positive nodal status, lower pretreatment hemoglobin, treatment RT alone, and incomplete response at three months post-treatment, on univariate analysis (Table 3). Neither p16 status by conventional IHC nor HPV16 status via CISH was associated with outcome, Tables 2 and 3. On multivariate analysis, worse PFS was associated with poor performance status: [HR 6.7 (95% CI 2.2–20.5). p = 0.001], positive nodal status: [HR 2.1 (95% CI 1.1–3.9), p = 0.021], and incomplete response at three months [HR 2.3 (95% CI 1.03–5.0), p = 0.041. On multivariate analysis, worse OS was associated with poor performance status: [HR 2.8 (95% CI 1.1–6.8), p = 0.02], lower pre-treatment Hb (<120 g/L): [HR 4.8 (95% CI 1.1–21.4), p = 0.04], and incomplete response at three months: [HR 2.6 (95% CI 1.3–5.0), p = 0.007]. P16 AQUA was not independently associated with PFS or OS.
P16 AQUA score with a cutpoint at 244 in patients with pretreatment hemoglobin≥120 g/L.
P16 AQUA score with a cutpoint at 244 in patients with pretreatment hemoglobin≥120 g/L.
Correlation between molecular markers
PV16 CISH correlated with p16 evaluated by conventional IHC DAB score (correlation coefficient 0.46; p = 0.01) and by p16 AQUA score (correlation coefficient 0.49; p = 0.001). Also, there was association of p16 by conventional IHC and AQUA (correlation coefficient 0.58; p<0.0001), Figures 6–8.
DAB: conventional p16 diaminobenzydene.
DAB: conventional p16 diaminobenzydene.
When dividing the classified tumors into HPV16 and other subtypes, we found there was correlation with the three applied techniques as follows: p16 DAB (Chi square; p = 0.009); p16 AQUA score (Spearman's; p = 0.02) and tended to correlate with HPV16 by CISH (Spearman's; p = 0.06). The correlation between HPV subtypes and AQUA is showed in Figure 9.
Considering HPV subtyping as the “gold standard” to distinguish HPV16 as positive and negative, and using conventional IHC for p16 from a total of 24 cases analyzed by both methods, there were two false positive cases and one false negative case. In 30 cases both HPV subtyping and CISH analysis were performed. CISH showed four false negative cases and three false positive.
Seven patients (8%) had AQUA p16 scores>244. Six of 7 were HPV16; one additionally co-expressed HPV18. By CISH, p16 was score 3 in 6/7 of these cases and score 1 in the other one. Finally, 5/7 had p16 evaluated by conventional IHC and all of them were graded as score 3.
In this study, we utilized three different techniques to evaluate HPV/p16 expression in patients with anal carcinoma treated with radical RT or CRT with curative intent. We demonstrated that p16 is positive in the vast majority of patients with anal cancer, and there is good correlation of these different methods used to determine HPV tumor status. These results also support the measurement of p16 as a surrogate marker for HPV infection, using the readily available and relatively inexpensive conventional IHC technique. In a further exploratory analysis, the differential expression of p16 by AQUA identified a small subset of patients with worse prognosis on univariate but not multivariate analysis.
We recognize this is a retrospective study with some inherent weaknesses. There may be an inclusion bias as tissue samples were not available for analysis in all of the patients. Additionally, not all tests could be performed in the available samples. Technically, it is possible that HPV subtypes, in addition to the ones detected, were present but were not amplified in an amount allowing for detection. A possible lack of detection could result from inadequate specimen collection or quality. In our centre HIV testing is not routinely performed in patients who are not deemed to have sufficiently high risk factors; it was only requested in one case in this series and it was positive. We included patients who were treated with radical RT alone, in addition to radical CRT patients, if they completed curative intent treatment, which adds some heterogeneity to the population.
Overall, approximately 80% of anal SCC were positive for HPV16/p16, regardless of the method utilized. This is in agreement with other series of SCC. Varnai et al reported 86% (33/38) HPV16 positive tumors using PCR .
This study demonstrates the correlation between HPV16 subtype, p16 by DAB and AQUA and HPV16 CISH suggesting that testing for p16 using conventional IHC may a cost-effective way of evaluating for HPV16 status that is available in most hospital pathology departments.
We were unable to find an association between p16 expression and outcome using conventional IHC staining status. This may be related to the fact that most of the cases were HPV positive by all testing techniques, making any subset analysis by IHC score very difficult. Despite differences in the grading criteria in the literature, our results agree with the report of Ajani et al regarding p16 expression (evaluating the percentage of tumor cells with cytoplasmic staining) in 30 patients with anal cancer treated with CRT . Additionally, in a cohort of 55 anal cancer patients treated with RT with or without chemotherapy, p16 staining was not significantly related to survival .
These results may suggest that conventional IHC grading cannot identify subgroups of anal cancer patients with different prognoses. Because most of the patients with squamous anal canal carcinoma are positive for HPV16/p16 it is possible that the classification as positive/negative is unable to identify groups with different prognosis, regardless of the method used. This is in contrast to what has been published in the head and neck cancer literature, where HPV positive versus HPV negative tumors occur in approximately equal frequency, with more favorable prognoses in patients with HPV positive tumors. In our study, automated quantitative scoring using AQUA was the only technique to identify a small subset of patients with a worse prognosis by p16 expression status, on univariate analysis. This analysis is potentially better able to quantify the expression of p16, versus conventional IHC scoring with its more limited staining quantification scale. Interesting, contrary to what has been reported in the head and neck cancer literature, our analysis suggests very high p16 status (via AQUA) was associated with worse PFS and OS, although not significant on multivariate analyses. This agrees with the results of Brambilla et al , who reported the association of positive p16 (evaluated by conventional IHC) with shorter survival in patients with non-small cell carcinoma of the lung. However, a series of 47 patients with anal carcinoma treated with CRT using IHC to determine p16 expression reported an association of p16 positivity with better 4-year PFS (52.5% vs. 25.0%, p = 0.01) on univariate analysis. In this study, 93.5% of HPV16 positive tumors by PCR were p16 positive but 10/16 HPV16-negative patients had p16 positive by IHC . Differences in scoring and definitions of p16 positivity may explain the discordant result compared to our series and preclude direct comparisons.
To our knowledge, this is the first study to report the association of p16 determined by AQUA with outcome in patients with anal SCC. This was an exploratory analysis of an alternative method to evaluate p16 expression in a small group of patients and further evaluation of this method in an alternate dataset would be required to confirm whether very high AQUA score can distinguish patients at increased risk of treatment failure. Additional analyses will be required to determine the molecular pathway aberration(s) resulting in very high p16 status in patients with anal cancer, and the mechanisms of treatment resistance.
The authors thank Dr. Alexander Chan for his support and clinical expertise in the development of this project.
Conceived and designed the experiments: GRU KG AK SP AM CD. Performed the experiments: KG AK SP AM. Analyzed the data: GRU KG AK SP AM CD. Contributed reagents/materials/analysis tools: AM CD. Wrote the paper: GRU KG AK SP AM CD.
- 1. Varnai AD, Bollmann M, Griefingholt H, Speich N, Schmitt C, et al. (2006) HPV in anal squamous cell carcinoma and anal intraepithelial neoplasia (AIN). impact of HPV analysis of anal lesions on diagnosis and prognosis. Int J Colorectal Dis 21: 135–142.
- 2. Shukla S, Bharti AC, Mahata S, Hussain S, Kumar R, et al. (2009) Infection of human papillomaviruses in cancers of different human organ sites. Indian J Med Res 130: 222–233.
- 3. [Anonymous] (1996) Epidermoid anal cancer: Results from the UKCCCR randomised trial of radiotherapy alone versus radiotherapy, 5-fluorouracil, and mitomycin. UKCCCR anal cancer trial working party. UK co-ordinating committee on cancer research. Lancet 348: 1049–1054.
- 4. Gunderson LL, Moughan J, Ajani JA, Pedersen JE, Winter KA, et al. (2013) Anal carcinoma: Impact of TN category of disease on survival, disease relapse, and colostomy failure in US gastrointestinal intergroup RTOG 98–11 phase 3 trial. Int J Radiat Oncol Biol Phys 87: 638–645.
- 5. Chaturvedi AK (2010) Beyond cervical cancer: Burden of other HPV-related cancers among men and women. J Adolesc Health 46: S20–6.
- 6. Fakhry C, Westra WH, Li S, Cmelak A, Ridge JA, et al. (2008) Improved survival of patients with human papillomavirus-positive head and neck squamous cell carcinoma in a prospective clinical trial. J Natl Cancer Inst 100: 261–269.
- 7. Young RJ, Rischin D, Fisher R, McArthur GA, Fox SB, et al. (2011) Relationship between epidermal growth factor receptor status, p16(INK4A), and outcome in head and neck squamous cell carcinoma. Cancer Epidemiol Biomarkers Prev 20: 1230–1237.
- 8. O'Rorke MA, Ellison MV, Murray LJ, Moran M, James J, et al. (2012) Human papillomavirus related head and neck cancer survival: A systematic review and meta-analysis. Oral Oncol 48: 1191–1201.
- 9. Salit IE, Tinmouth J, Chong S, Raboud J, Diong C, et al. (2009) Screening for HIV-associated anal cancer: Correlation of HPV genotypes, p16, and E6 transcripts with anal pathology. Cancer Epidemiol Biomarkers Prev 18: 1986–1992.
- 10. Frisch M, Fenger C, van den Brule AJ, Sorensen P, Meijer CJ, et al. (1999) Variants of squamous cell carcinoma of the anal canal and perianal skin and their relation to human papillomaviruses. Cancer Res 59: 753–757.
- 11. Ramamoorthy S, Liu YT, Luo L, Miyai K, Lu Q, et al. (2010) Detection of multiple human papillomavirus genotypes in anal carcinoma. Infect Agent Cancer 5: 17–9378-5-17.
- 12. Lu DW, El-Mofty SK, Wang HL (2003) Expression of p16, rb, and p53 proteins in squamous cell carcinomas of the anorectal region harboring human papillomavirus DNA. Mod Pathol 16: 692–699.
- 13. Valmary-Degano S, Jacquin E, Pretet JL, Monnien F, Girardo B, et al. (2012) Signature patterns of human papillomavirus type 16 in invasive anal carcinoma. Hum Pathol 44(6): 992–1002.
- 14. Sias C, Garbuglia AR, Piselli P, 121(11):1054-63 Cimaglia C, Lapa D, et al. (2013) Comparison of the abbott RealTime high risk HPV with genomica HPV clinical array for the detection of human papillomavirus DNA. APMIS 121: 1054–1063.
- 15. Cuzick J, Cadman L, Mesher D, Austin J, Ashdown-Barr L, et al. (2013) Comparing the performance of six human papillomavirus tests in a screening population. Br J Cancer 108: 908–913.
- 16. Keating JT, Ince T, Crum CP (2001) Surrogate biomarkers of HPV infection in cervical neoplasia screening and diagnosis. Adv Anat Pathol 8: 83–92.
- 17. Sano T, Masuda N, Oyama T, Nakajima T (2002) Overexpression of p16 and p14ARF is associated with human papillomavirus infection in cervical squamous cell carcinoma and dysplasia. Pathol Int 52: 375–383.
- 18. Berois N, De Cremoux P, Mazal D, Sica A, Cedeira M, et al. (2013) Prevalence and distribution of high-risk human papillomavirus genotypes in invasive carcinoma of the uterine cervix in Uruguay. Int J Gynecol Cancer 23: 527–532.
- 19. Jordan RC, Lingen MW, Perez-Ordonez B, He X, Pickard R, et al. (2012) Validation of methods for oropharyngeal cancer HPV status determination in US cooperative group trials. Am J Surg Pathol 36: 945–954.
- 20. Camp RL, Chung GG, Rimm DL (2002) Automated subcellular localization and quantification of protein expression in tissue microarrays. Nat Med 8: 1323–1327.
- 21. Giltnane JM, Rimm DL (2004) Technology Insight: Identification of Biomarkers with Tissue Microarray Technology. Nat Clin Pract Oncol 1: 104–111.
- 22. Wong AK, Chan RC, Nichols WS, Bose S (2008) Human papillomavirus (HPV) in atypical squamous cervical cytology: The invader HPV test as a new screening assay. J Clin Microbiol 46: 869–875.
- 23. Ajani JA, Wang X, Izzo JG, Crane CH, Eng C, et al. (2010) Molecular biomarkers correlate with disease-free survival in patients with anal canal carcinoma treated with chemoradiation. Dig Dis Sci 55: 1098–1105.
- 24. Bruland O, Fluge O, Immervoll H, Balteskard L, Myklebust M, et al. (2008) Gene expression reveals two distinct groups of anal carcinomas with clinical implications. Br J Cancer 98: 1264–1273.
- 25. Brambilla E, Moro D, Gazzeri S, Brambilla C (1999) Alterations of expression of rb, p16(INK4A) and cyclin D1 in non-small cell lung carcinoma and their clinical significance. J Pathol 188: 351–360.
- 26. Yhim HY, Lee NR, Song EK, Kwak JY, Lee ST, et al. (2011) The prognostic significance of tumor human papillomavirus status for patients with anal squamous cell carcinoma treated with combined chemoradiotherapy. Int J Cancer 129: 1752–1760.