Literature DB >> 24156023

Absent/weak CD44 intensity and positive human papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma indicates a very high survival.

Anders Näsman1, Cecilia Nordfors, Nathalie Grün, Eva Munck-Wikland, Torbjörn Ramqvist, Linda Marklund, David Lindquist, Tina Dalianis.   

Abstract

Patients with human papillomavirus DNA positive (HPV(DNA+)) oropharyngeal squamous cell carcinoma (OSCC) have better clinical outcome than those with HPV DNA negative (HPV(DNA-)) OSCC upon intensive oncological treatment. All HPV(DNA+) OSCC patients may not require intensive treatment, however, but before potentially deintensifying treatment, additional predictive markers are needed. Here, we examined HPV, p16(INK4a), and CD44 in OSCC in correlation to clinical outcome. Pretreatment tumors from 290 OSCC patients, the majority not receiving chemotherapy, were analyzed for HPV DNA by Luminex and for p16(INK4a) and CD44 by immunohistochemistry. 225/290 (78%) tumors were HPV(DNA+) and 211/290 (73%) overexpressed p16(INK4a), which correlated to presence of HPV (P < 0.0001). Presence of HPV DNA, absent/weak CD44 intensity staining correlated to favorable 3-year disease-free survival (DFS) and overall survival (OS) by univariate and multivariate analysis, and likewise for p16(INK4a) by univariate analysis. Upon stratification for HPV, HPV(DNA+) OSCC with absent/weak CD44 intensity presented the significantly best 3-year DFS and OS, with >95% 3-year DFS and OS. Furthermore, in HPV(DNA+) OSCC, p16(INK4a)+ overexpression correlated to a favorable 3-year OS. In conclusion, patients with HPV(DNA+) and absent/weak CD44 intensity OSCC presented the best survival and this marker combination could possibly be used for selecting patients for tailored deintensified treatment in prospective clinical trials.

Entities:  

Keywords:  CD44; human papillomavirus; oropharyngeal cancer; prognosis

Mesh:

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Year:  2013        PMID: 24156023      PMCID: PMC3799285          DOI: 10.1002/cam4.90

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


Introduction

Recent reports from several countries indicate an increased incidence of oropharyngeal squamous cell carcinoma (OSCC) 1–5, where tonsillar squamous cell carcinoma (TSCC) and base of tongue squamous cell carcinoma (BOTSCC) dominate. This increase has mainly been attributed to human papillomavirus (HPV) infection 2. Furthermore, patients with HPV DNA positive (HPVDNA+) OSCC have been reported to have a better 5-year overall survival (OS) compared with those with HPVDNA− OSCC (80% and 40%, respectively), the latter similar to that of other head–neck squamous cell carcinoma (HNSCC) patients 5,6. Lately, as a consequence of the low survival in HNSCC, oncologic treatment has been intensified with chemo-radiotherapy and epidermal growth factor receptor (EGFR) inhibitors 7. Many patients with HPVDNA+ OSCC may not benefit from this intensified treatment, and could potentially be cured by radiotherapy (RT) alone, with possibly less severe sequele. To better identify patients with a favorable prognosis, before potentially reducing treatment, additional predictive markers are needed 5. Expression of CD44, a cell adhesion glycoprotein participating in epithelial cell–stroma interactions and important for tumor invasion and metastasis 8, has previously been described as a prognostic marker in many cancers 9–10. Moreover, high CD44 expression has been correlated to worse prognosis in HNSCC 11–14, and in a pilot study from the rural county of Dalarna, Sweden, we found that medium/strong CD44 intensity staining was a negative prognostic factor in tonsillar and base of tongue cancer 11. However, we could not correlate this finding to HPV status due to limited numbers of patients. Furthermore, in the present literature there are different standard procedures for defining HPV status. HPV status can, for example, be defined as presence of HPV DNA alone, or HPV DNA together with overexpression of p16INK4a. However, overexpression of p16INK4a alone has also been used as a surrogate marker of functionally active HPV 12–13. Here, in this larger Stockholm, Sweden cohort of HPV+ and HPV− OSCC, where 80% of the patients did not receive chemotherapy, we have evaluated CD44 intensity staining and p16INK4a in relationship to HPV status and in relation to OS and DFS.

Patients, Materials, and Methods

Patients

2000–2007, 385 patients were diagnosed with TSCC (ICD-10 C09.0-9) and BOTSCC (ICD-10 C01.9) in the county of Stockholm, and of these 290 with available pretreatment biopsies and treated with intention to cure were included in the study. For most patients (n = 229, 79%) treatment consisted of conventional RT (2.0 Gy/day, for 6.5–7 weeks, total dose: 68 Gy) or accelerated RT (1.1 + 2.0 Gy/day for 4.5 weeks, total dose: 68 Gy), while a minority (n = 61, 21%) also had induction chemotherapy followed by concomitant RT. Furthermore, some patients also received interstitial radiation (brachytherapy) (total dose of 78 Gy). Finally, patients with nodal disease also underwent neck dissection, 6–8 weeks after completed RT. Patients were thereafter followed up by clinical examination every 3 months the first 2 years, and every 6 months the third year. Patients' characteristics were obtained from clinical records. The study was conducted according to ethical permissions 2005/431-31/4, 2005/1330-32, and 2009/1278-31/4 from the Regional Ethical Committee at Karolinska Institutet, Stockholm, Sweden.

HPV DNA analysis

DNA was extracted from 30 μm paraffin-embedded tonsillar tumor biopsies as described previously 2. Blank control samples were treated in the same way to exclude cross-contamination between samples. Presence of HPV DNA and type and betaglobin was analyzed by the Luminex method 14.

Immunohistochemistry

In brief, tumor sections (4–5 μm) were deparaffinized, rehydrated, rinsed in water, followed by antigen retrieval in citrate buffer (pH 6) for 20 min. The slides were then left for 10 min in 0.5% H2O2 in water and washed in phosphate buffered saline (PBS). Blocking was done with 1% horse serum in PBS in a moist chamber for 40 min before the sections were stained with the primary antibody (mAb CD44 [clone: DF1485, dilution 1:100, Dako, Glostrup, Denmark] and mAb p16INKA4a [clone: JC8, dilution 1:100, Santa Cruz Biotech, Dallas, TX]) at +8°C over night. The avidin–biotin–peroxidase complex (ABC) kit (Vectastain, Vector Laboratories, Burlingame, CA) was used for antigen detection according to the manufacturer. Slides were developed in chromogen 3'-diaminobenzydine (DAB) (Vector Laboratories) with hematoxylin as a counter stain.

Evaluation of immunohistochemistry staining

The fraction of CD44 positive cells was evaluated semi-quantitatively in four grades of percentages of stained malignant cells: 0 (0%), 1 (1–25%), 2 (26–75%), or 3 (76–100%) and the intensity of the staining was scored separately and evaluated as absent, weak, moderate, and strong staining 11. The fraction and intensity of p16INK4a positive cells was evaluated and samples with strong p16INK4a staining in >70% positive cells were considered as p16INK4a positive (p16INK4a+) 15. All evaluations were conducted by two independent researchers (A. N. and C. N.) blinded for clinical data and outcome.

Statistical analyses

Patient characteristics were analyzed with the Chi2-test and independent T-test when appropriate. Two-sided P-values were reported for all analyses. Disease-free survival (DFS) was defined from the date of diagnosis to the date of the last known occasion that the patient was disease free, or the date of disease recurrence (local, regional, or distant recurrence). Death without documented recurrence was censored at the date of death. OS was defined as time from the date of diagnosis until the date of death of any reason. Cumulative survival was calculated and presented with the Kaplan–Meier method and analyzed with the log-rank test. Univariate and multivariate Cox proportional models were used to calculate the Hazard ratio (HR). All above described analyses were performed in SPSS (IBM SPSS Statistics, version 20, Stockholm, Sweden).

Results

Patients, HPVDNA, and p16INK4a status

When this study was initiated in 2011, 290 pretreatment tumor biopsies were available from patients with TSCC and BOTSCC diagnosed between 2000 and 2007 and treated with intention to cure. The characteristics of the patients and their tumors are summarized in Table 1. Of these tumors, 78% (225/290) were HPVDNA+ with HPV-16 as the dominant type (n = 211, 94%), followed by HPV33 (n = 8), HPV35 (n = 3), HPV56 (n = 1), HPV58 (n = 1), and HPV59 (n = 1). Moreover, 73% (211/290) of the tumors were p16INK4a+, and HPVDNA+ tumors expressed p16INK4a to a significantly higher level than HPVDNA− tumors (203/225, 90% and 8/65, 12%, respectively, P < 0.0001). Furthermore, patients with HPVDNA+ tumors were younger at diagnosis (mean age 59.8 years vs. 63.4 years, P = 0.01) and presented with a greater nodal disease (N2–N3 vs. N0–N1) (P = 0.01), smaller tumors (T1–T2 vs. T3–T4) (P = 0.01) and a higher clinical stages (III–IV vs. I–II) (P < 0.01). No significant differences were observed in tumor localization, sex, or presence of distant metastases between patients with HPVDNA+ and HPVDNA− tumors.

Patient characteristics

HPVDNA positive patients (n = 225)1HPVDNA negative patients (n = 65)P-valueAll patients (n = 290)
Count%Count%Count%
Diagnosis
Base of tounge squamous cell carcinoma60272031NS28028
Tonsillar squamous cell carcinoma16573456921072
Sex
Female58261828NS27626
Male16774477221474
Age (years)
Mean age59.863.40.01360.6
Median age596260
Range30–9044–8230–90
Percentiles
255356.554
50596260
756670.567
TNM
T1542413200.0426723
T2823614229633
T3452017266221
T4442021326522
N035162742<0.00126221
N1552411176623
N2a3917354214
N2b673010157727
N2c22109143111
N37358124
M0222996498NS228699
M1211231
MX100010
Stage
I218120.0012103
II15758207
III602717267727
IV14866355418363
CD44 expression
Absent209230.0022228
1–25%2812233010
25–75%4520695118
75–100%13259558518764
CD44 intensity
Absent209230.0022228
Weak5324465720
Medium532417267024
Strong9944426514149
p16INK4a
Negative22105788<0.000127927
Positive2039081221173

HPVDNA, human papillomavirus DNA.

HPV-16 (n = 211); HPV-33 (n = 8); HPV-35 (n = 3); HPV-56 (n = 1); HPV-58 (n = 1) and HPV-59 (n = 1).

Chi-square test.

Independent T-test.

Patient characteristics HPVDNA, human papillomavirus DNA. HPV-16 (n = 211); HPV-33 (n = 8); HPV-35 (n = 3); HPV-56 (n = 1); HPV-58 (n = 1) and HPV-59 (n = 1). Chi-square test. Independent T-test.

CD44 expression without or with HPVDNA status and clinical parameters

CD44 expression was evaluated both by staining intensity and by the fraction of positive cells (Fig. S1). In all, 268/291 (92%) of the tumors expressed CD44, and the majority had a strong intensity staining (53%), while 26% and 21%, respectively, stained intermediately or weakly (Table 1). Patients with CD44+ tumors (defined by dichotomization at intensity >weak or by >26% positive cells), presented significantly more often with larger, higher differentiated tumors, but no significant differences were observed in tumor localization (tonsil or tongue base), stage, or age between patients with CD44+ and CD44tumors (data not shown). When the CD44 intensity, dichotomized as absent/weak versus medium/strong, was compared between HPVDNA+ and HPVDNA− tumors, the HPVDNA+ tumors expressed high intensity CD44 staining to a significantly lesser extent than HPVDNA− tumors (HPVDNA+: 152/225, 65% vs. HPVDNA−: 59/65, 91%, P < 0.001). If CD44 intensity was dichotomized as absent/weak/medium versus strong, HPVDNA+ OSCC still expressed CD44 to a lesser extent than HPVDNA− OSCC (HPVDNA+: 99/225, 44% vs. HPVDNA− 42/65, 65%, P = 0.005) (Table 1). When the fraction of cells expressing CD44, dichotomized as 0–75% and >75%, was compared between HPVDNA+ and HPVDNA− tumors, the HPVDNA+ tumors also expressed CD44 to a significantly lesser extent than HPVDNA− tumors (132/225, 59% vs. 55/65, 85%, P < 0.0001) (Table 1). The same correlation was observed when a cut-off was applied at <25% positive cells (177/225, 79% vs. 61/65, 94%, P = 0.003) (Table 1). However, if CD44 expression was grouped as absent or present, no significant difference was observed between HPVDNA+ and HPVDNA− tumors, where 205/225, 91% of the HPV+ and 63/65, 97% of the HPVDNA− tumors expressed CD44 (Table 1).

Effects of HPVDNA, p16INK4a, absent/weak CD44 intensity, and age on clinical outcome

The univariate analysis showed that patients with HPVDNA+ tumors were less likely to relapse in disease (89% vs. 64%) (HR 0.24, 95% CI: 0.13–0.45, P < 0.0001) or to die of any cause (85% vs. 49%) (HR 0.23, 95% CI: 0.14–0.37, P < 0.0001) within 3 years, relative to patients with HPVDNA− tumors (Fig. 1A and B, and Table 2).
Figure 1

Disease-free survival (DFS) and overall survival (OS) analyzed by human papillomavirus DNA (HPVDNA), p16INK4a overexpression and CD44 intensity staining as visualized by Kaplan–Meier diagrams. (A) DFS and (B) OS by presence and absence of HPVDNA; (C) DFS and (D) OS by presence and absence of p16INK4a overexpression; (E) DFS and (F) OS by absent/weak and medium/strong CD44 intensity staining. P-values are calculated with the log-rank test. n denotes the number of patients in each group.

Univariate and multivariate analyses of HPVDNA, CD44 intensity and clinical parameters for 3-year disease free and overall survival HPVDNA, human papillomavirus DNA; HR, hazard ratio; CI, confidence interval; SCC, squamous cell carcinoma. All listed factors are included in the regression model. Disease-free survival (DFS) and overall survival (OS) analyzed by human papillomavirus DNA (HPVDNA), p16INK4a overexpression and CD44 intensity staining as visualized by Kaplan–Meier diagrams. (A) DFS and (B) OS by presence and absence of HPVDNA; (C) DFS and (D) OS by presence and absence of p16INK4a overexpression; (E) DFS and (F) OS by absent/weak and medium/strong CD44 intensity staining. P-values are calculated with the log-rank test. n denotes the number of patients in each group. Similarly, patients with p16INK4a+ tumors had also a favorable 3-year DFS (89% vs. 68%) and OS (87% vs. 49%) (HR 0.30, 95% CI: 0.16–0.57, P = 0.0001 and HR 0.18, 95% CI: 0.11–0.30, P < 0.0001, respectively) (data not shown). Moreover, when CD44 intensity staining was evaluated as previously described 11, OSCC with absent/weak CD44 staining intensity had a significantly better 3-year DFS (95% vs 81%) and OS (92% vs. 71%) (HR 4.0, 95% CI: 1.4–11.1, P = 0.001 and HR 4.3, 95% CI: 1.8–9.9, P = 0.001, respectively) compared to OSCC with medium/strong CD44 staining intensity (Fig. 1C and D, and Table 2).

Univariate and multivariate analyses of HPVDNA, CD44 intensity and clinical parameters for 3-year disease free and overall survival

Univariate analysisMultivariate analysis1
Disease-free survivalOverall survivalDisease-free survivalOverall survival
HR95% CIP-valueHR95% CIP-valueHR95% CIP-valueHR95% CIP-value
HPVDNA
Absent1(ref)1(ref)1(ref)1(ref)
Present0.240.13–0.45<0.00010.230.14–0.37<0.00010.310.16–0.620.0010.270.16–0.44<0.0001
CD44intensity
Absent/weak1(ref)1(ref)1(ref)1(ref)
Medium/strong4.01.4–11.10.0094.31.8–9.90.0013.01.1–8.70.0463.11.3–7.40.010
Age
>67 years1(ref)1(ref)1(ref)1(ref)
60–67 years1.00.48–2.20.940.600.34–1.10.090.730.41–1.30.310.750.42–1.40.35
54–60 years0.560.23–1.40.200.390.19–0.780.0070.420.21–0.850.0160.440.22–0.880.020
<54 years0.190.054–0.670.0090.2910.14–0.610.0010.420.20–0.920.0290.420.20–0.900.027
Stage
I–II1(ref)1(ref)1(ref)1
III–IV0.620.26–1.50.281.40.57–3.60.441.00.41–2.50.982.40.95–6.10.065
Sex
Female1(ref)1(ref)1(ref)1(ref)
Male1.20.58–2.30.680.70.39–1.30.240.990.50–2.00.970.590.34–1.10.086
Tumour site
Tonsillar SCC1(ref)1(ref)1(ref)1(ref)
Base of tongue SCC1.10.53–2.20.810.950.56–1.60.851.30.63–2.70.481.00.59–1.70.96

HPVDNA, human papillomavirus DNA; HR, hazard ratio; CI, confidence interval; SCC, squamous cell carcinoma.

All listed factors are included in the regression model.

Additionally, age was divided in percentiles and the effect on outcome was analyzed. A lower age was significantly correlated to a better DFS and OS in the univariate analysis (Table 2). A multivariate including HPV status, CD44 intensity staining, age, sex, stage, and tumor site was performed, but here p16INK4a was excluded due to the high correlation between HPVDNA and p16INK4a overexpression. Patients with HPVDNA+ tumors had a favorable DFS and OS (HR 0.31, 95% CI: 0.16–0.62, P = 0.001 and 0.27, 95% CI: 0.16–0.44, P < 0.001, respectively) (Table 2). Similar trends in DFS and OS were observed for patients with tumors expressing CD44 when assaying for staining intensity (CD44 absent/weak intensity vs. medium/strong) (HR 3.0, 95% CI: 1.1–8.7, P = 0.046 and HR 3.1, 95% CI: 1.3–7.4, P = 0.010, respectively) (Table 2). Finally, a lower age was also significantly correlated to a better DFS and OS in the multivariate analysis.

Effects on survival combining HPVDNA/CD44 or HPVDNA/p16INK4a, as well as HPVDNA/age

Strong evidence suggests that “HPV positive” OSCC and “HPV negative” OSCC are different disease entities with different characteristics and should be separated when analyzed. Hence, the cohort was divided into an HPVDNA+ and HPVDNA− cohort and the influence of CD44 and p16INK4a as prognostic factors was also analyzed (Fig. 2, and Table 3A and B).
Figure 2

Disease-free survival (DFS) and overall survival (OS) analyzed by CD44 intensity staining and p16INK4a overexpression stratified for HPVDNA status, as visualized by Kaplan–Meier diagrams. (A) DFS and (B) OS by absent/weak and medium/strong CD44 intensity staining, respectively, in HPVDNA+ OSCC. (C) DFS and (D) OS by absent/weak and medium/strong CD44 intensity staining, respectively, in HPVDNA− OSCC. HPVDNA, human papillomavirus DNA; OSCC, oropharyngeal squamous cell carcinoma.

Univariate and multivariate analyses in (A) HPVDNA+ and (B) HPVDNA− patients of CD44intensity, p16INK4a expression and clinical parameters for 3-year disease free and overall survival

Univariate analysisMultivariate analysis1
Disease-free survivalOverall survivalDisease-free survivalOverall survival
HR95% CIP-valueHR95% CIP-valueHR95% CIP-valueHR95% CIP-value
(A) HPVDNA+
CD44intensity
Absent/weak1(ref)1(ref)1(ref)(ref)
Medium/strong3.41.0–11.60.0473.91.4–10.90.0113.71.1–12.60.0363.41.2–9.80.024
p16INK4a expression
Absent1(ref)1(ref)1(ref)1(ref)
Present0.670.16–2.90.590.160.076–0.32<0.00010.420.088–2.00.280.0890.039–0.20<0.0001
Age
>67 years1(ref)1(ref)1(ref)1(ref)
60–67 years0.830.33–2.10.690.400.17–0.930.0330.820.32–2.10.680.370.16–0.870.023
54–60 years0.180.040–0.850.0310.220.073–0.640.0060.150.031–0.710.0170.150.047–0.450.001
<54 years0.160.034–0.720.0240.230.084–0.620.0040.120.025–0.610.0100.130.043–0.37<0.0001
Stage
I–II1(ref)1(ref)1(ref)1
III–IV0.740.17–3.20.690.790.24–2.60.700.760.17–3.30.710.640.19–2.20.48
Sex
Female1(ref)1(ref)1(ref)1(ref)
Male1.30.54–3.20.550.880.40–1.90.741.20.47–3.10.700.530.23–1.20.13
Tumour site
Tonsillar SCC1(ref)1(ref)1(ref)1(ref)
Base of tongue SCC1.20.44–3.20.740.840.4–1.80.641.40.51–3.90.520.950.045–2.00.90
(B) HPVDNA
CD44intensity
Absent/weak1(ref)1(ref)1(ref)1(ref)
Medium/strong1.70.22–12.60.621.80.43–7.40.431.90.24–15.30.552.40.25–11.10.26
p16INK4a expression
Absent1(ref)1(ref)1(ref)1(ref)
Present0.850.19–3.70.830.840.30–2.40.751.40.27–7.40.690.660.21–2.00.46
Age
>67 years1(ref)1(ref)1(ref)1(ref)
60–67 years1.70.48–6.00.411.00.44–2.40.951.90.50–7.50.341.50.62–3.70.37
54–60 years1.90.55–6.90.310.780.30–2.00.602.40.67–9.00.181.00.39–2.80.94
<54 years0.440.049–3.90.460.690.22–2.20.530.430.041–4.50.481.10.32–3.70.89
Stage
I–II1(ref)1(ref)1(ref)1
III–IV1.20.4–3.80.725.11.2–21.50.0251.30.40–4.40.646.31.5–27.00.014
Sex
Female1(ref)1(ref)1(ref)1(ref)
Male0.710.25–2.00.520.440.18–1.10.070.600.20–1.80.360.390.16–0.970.043
Tumour site
Tonsillar SCC1(ref)1(ref)1(ref)1(ref)
Base of tongue SCC1.30.46–3.70.621.40.64–3.00.421.50.50–4.50.461.20.56–2.70.60

HPVDNA, human papillomavirus DNA; HR, hazard ratio; CI, confidence interval; SCC, squamous cell carcinoma.

All listed factors are included in the regression model.

Univariate and multivariate analyses in (A) HPVDNA+ and (B) HPVDNA− patients of CD44intensity, p16INK4a expression and clinical parameters for 3-year disease free and overall survival HPVDNA, human papillomavirus DNA; HR, hazard ratio; CI, confidence interval; SCC, squamous cell carcinoma. All listed factors are included in the regression model. Disease-free survival (DFS) and overall survival (OS) analyzed by CD44 intensity staining and p16INK4a overexpression stratified for HPVDNA status, as visualized by Kaplan–Meier diagrams. (A) DFS and (B) OS by absent/weak and medium/strong CD44 intensity staining, respectively, in HPVDNA+ OSCC. (C) DFS and (D) OS by absent/weak and medium/strong CD44 intensity staining, respectively, in HPVDNA− OSCC. HPVDNA, human papillomavirus DNA; OSCC, oropharyngeal squamous cell carcinoma. As shown in Figure 2A and B, patients with HPVDNA+ tumors and an absent/weak CD44 intensity had a significantly better DFS (96% vs. 86%) and OS (95% vs. 80%) compared with patients with HPVDNA+ and medium/strong CD44 intensity tumor expression (P = 0.034 and P = 0.060, respectively). This was the case irrespective if the patients were treated with RT alone or induction chemotherapy followed by RT (data not shown). In the HPVDNA− cohort absent/weak CD44 as compared to medium/strong CD44 intensity staining showed a similar tendency with 75% versus 63% DFS and 67% versus 47% OS, respectively, but these differences were not statistically significant (Fig. 2C and D). Similarly, when analyzed separately for HPVDNA+ and HPVDNA− tumors, in the multivariate analyses adjusted for sex, stage, age, and tumor site, CD44 expression was still correlated to a favorable DFS and OS for the HPVDNA+ group, but not the HPVDNA− group (Table 3A and B). Only a minority of patients with HPVDNA+ tumors were p16INK4a negative and vice versa. When DFS and OS were analyzed in the HPVDNA+ and HPVDNA− groups, a statistically significant difference was observed only in OS between patients with HPVDNA+/p16INK4a+ and patients with HPVDNA+/p16INK4atumors (univariate DFS: 0.59 and OS: P < 0.0001, respectively) (Table 3A). Likewise, when p16INK4a overexpression was analyzed separately for HPVDNA+ and HPVDNA− tumors in the multivariate analyses adjusted for sex, stage, age, and tumor site, there was only a significant correlation to OS in the HPVDNA+ group and not in the HPVDNA− group (multivariate DFS: P = 0.28 and OS: P < 0.0001, respectively) (Table 3A and B). Finally, a lower age upon diagnosis correlated significantly to a more favorable DFS and OS in the HPVDNA+ group both in the univariate and the multivariate analysis (Table 3A). A similar tendency was observed in the HPVDNA− patient group, but did not reach statistical significance (Table 3B).

Effects on survival combining HPVDNA with p16INK4a expression and CD44 expression

As described in the introduction, combining HPVDNA and p16INK4a expression as criteria of active HPV infection was proposed. Hence, CD44 intensity staining was examined separately also for patients with HPVDNA+/p16INK4a+ and patients with HPVDNA−/p16INK4atumors (Fig. 3 and Tables S1 and S2).
Figure 3

Disease-free survival (DFS) and overall survival (OS) analyzed by CD44 intensity staining, stratified for HPVDNA status and p16INK4a overexpression, as visualized by Kaplan–Meier diagrams. (A) DFS and (B) OS by absent/weak and medium/strong CD44 intensity staining, respectively, in HPVDNA+/p16INK4a+ OSCC. (C) DFS and (D) OS by absent/weak and medium/strong CD44 intensity staining, respectively, in HPVDNA−/p16INK4a− OSCC. P-values calculated with the log-rank test. n denotes the number of patients in each group. HPVDNA, human papillomavirus DNA; OSCC, oropharyngeal squamous cell carcinoma.

Disease-free survival (DFS) and overall survival (OS) analyzed by CD44 intensity staining, stratified for HPVDNA status and p16INK4a overexpression, as visualized by Kaplan–Meier diagrams. (A) DFS and (B) OS by absent/weak and medium/strong CD44 intensity staining, respectively, in HPVDNA+/p16INK4a+ OSCC. (C) DFS and (D) OS by absent/weak and medium/strong CD44 intensity staining, respectively, in HPVDNA−/p16INK4a− OSCC. P-values calculated with the log-rank test. n denotes the number of patients in each group. HPVDNA, human papillomavirus DNA; OSCC, oropharyngeal squamous cell carcinoma. Notably, no additional increase in DFS or OS could be observed in the absent/weak CD44 group when subtracting patients with HPVDNA+/p16INK4atumors (Fig. 3A and B) and DFS and OS were similar to that observed for patients with absent/weak intensity staining in Figure 2. However, the cumulative survival rate increased in the medium/strong intensity group in Figure 3A and B, most probably due to the exclusion of all patients with HPVDNA+/p16INK4atumors. Hence, the observed survival difference between absent/weak and medium/strong CD44 intensity staining among HPVDNA+/p16INK4a+ tumors in Figure 3A and B did not reach statistical significance – although absent/weak CD44 expression in HPVDNA+/p16INK4a+ OSCC patients showed >95% DFS and OS.

Discussion

In 290 OSCC patients, we show that those with combined HPVDNA+ OSCC and absent/weak CD44 intensity staining presented the best 3-year DFS and OS, with >95% of the patients surviving >3 years after treatment. In addition, HPVDNA+ status and absent/weak CD44 intensity staining and p16INK4a+ overexpression were also found as independent favorable prognostic markers in OSCC. However, while absent/weak CD44 intensity staining was a positive prognostic marker for both DFS and OS in HPVDNA+ OSCC patients, p16INK4a overexpression was only a marker of a favorable OS in these patients. As mentioned above and shown previously, roughly 80% of all patients with HPVDNA+ OSCC may not need the intensified oncological treatment regimes used today 5,6. Nonetheless, additional treatment regimes have already been implemented in many clinics and better stratification markers are therefore needed before a tailored and more deintensified treatment can be introduced. Here, patients with the novel combination of CD44 expression and HPVDNA status showed 95% DFS and 95% OS despite that the majority of the patients were treated only with RT. In contrast to absent/weak CD44 intensity staining, medium/high CD44 intensity staining correlated to worse prognosis for OSCC in general and for HPVDNA+ OSCC. These results are in line with previous reports in HNSCC and other malignancies 9–20. Furthermore, it was proposed that CD44 characterize cancer stem cells in HNSCC 21. In accordance with this, Chen and colleagues demonstrated that CD44-expressing cells displayed cancer stem like properties and had higher RT-resistance in HNSCC 22. Moreover, CD44-expressing cells in HNSCC were demonstrated to have an increased metastatic potential and increased proliferation index 18. Finally, CD44 signaling has also been reported to increase resistance to chemotherapy in HNSCC 23, which together with previously published data and our study all imply CD44 as a negative prognostic factor 8–19. In our large OSCC cohort, both HPVDNA status and p16INK4a expression correlated independently to a favorable prognosis and overexpression of p16INK4a was significantly correlated to presence of HPVDNA, consistent with many previous reports 15–28. Nonetheless, to our knowledge, the significance of p16INK4a overexpression has not been described before separately for HPVDNA+ and HPVDNA− OSCC. Here, we show that p16INK4a overexpression only influences OS in the HPVDNA+ cohort. However, whether the correlation between the absence of p16INK4a expression and a poorer OS in HPVDNA+ OSCC is due to the high sensitivity, and to a possibly lower specificity of our HPVDNA detection method, or to actual absence of p16INK4a expression in truly HPVDNA+ tumors remains to be elucidated. In patients, where HPV positive status was defined as HPVDNA+ and p16INK4a+, CD44 absent/weak staining intensity resulted in a DFS and OS similar to that obtained for patients with HPVDNA+ tumors with absent/weak CD44 intensity staining. Furthermore a significant difference between absent/weak and medium high CD44 intensity staining in the HPVDNA+ and p16INK4a+ patient group was still obtained for DFS, but not for OS. The latter could, however, partly be due to that patients with the poorest outcome (HPVDNA+ and p16INK4a−) were excluded. Finally, similar to other studies, a lower age at diagnosis correlated to a favorable DFS and OS, in the whole cohort as well as in patients with HPVDNA+ OSCC, while a lower stage correlated to favorable OS in the HPVDNA− OSCC patient group 29–30. Taken together the data suggest that absent/weak CD44 staining in patients with HPV+ OSCC is a strong positive indicator for better clinical outcome irrespective of treatment. Previously, we demonstrated that absent major histocompatibility complex (MHC) class I staining or a high number of CD8 tumor-infiltrating T-lymphocytes were strong prognostic indicators for better clinical outcome in HPV+ OSCC 30–31. It is possible that combining CD44 with these markers may be of even greater benefit for future selection of patients with a favorable outcome. There are limitations in our study. First, the study was retrospective and the number of patients was limited. Furthermore, treatment was not standardized to a study protocol and the whole patient cohort was not randomized into different treatment arms. Secondly, biopsies were not available for research from all patients; however, we consider the loss of biopsies random as there was, to our knowledge, no systematic loss of specific biopsies. Thirdly, most patients were randomized into two different RT protocols (conventional/hyperfractionated). Nevertheless, improved survival effect was not observed in any of the treatment arms in a study including these patients 32. Finally, here we have only included TSCC and BOTSCC as OSCC and not all other OSCC, but this can also be a benefit as we excluded other OSCC sites where the correlation to HPV and prognosis is more ambiguous 33. In summary, patients with OSCC with HPVDNA+ and absent/weak CD44 intensity staining presented a very high DFS and OS and could potentially be selected as candidates for tailored deintensified treatment. However, our data should be confirmed in a prospective multicentre randomized clinical trial with a larger patient sample, and with other biomarkers, before applied clinically.

Conflict of Interest

None declared.
  33 in total

1.  MHC class I expression in HPV positive and negative tonsillar squamous cell carcinoma in correlation to clinical outcome.

Authors:  Anders Näsman; Emilia Andersson; Cecilia Nordfors; Nathalie Grün; Hemming Johansson; Eva Munck-Wikland; Giuseppe Massucci; Tina Dalianis; Torbjörn Ramqvist
Journal:  Int J Cancer       Date:  2012-06-07       Impact factor: 7.396

2.  P16(INK4a) correlates to human papillomavirus presence, response to radiotherapy and clinical outcome in tonsillar carcinoma.

Authors:  Hanna Mellin Dahlstrand; David Lindquist; Linda Björnestål; Ann Ohlsson; Tina Dalianis; Eva Munck-Wikland; Göran Elmberger
Journal:  Anticancer Res       Date:  2005 Nov-Dec       Impact factor: 2.480

3.  Human papillomavirus is a favourable prognostic factor in tonsillar cancer and its oncogenic role is supported by the expression of E6 and E7.

Authors:  David Lindquist; Mircea Romanitan; Lalle Hammarstedt; Anders Näsman; Hanna Dahlstrand; Johan Lindholm; Liselotte Onelöv; Torbjörn Ramqvist; Weimin Ye; Eva Munck-Wikland; Tina Dalianis
Journal:  Mol Oncol       Date:  2007-09-01       Impact factor: 6.603

Review 4.  Involvement of CD44, a molecule with a thousand faces, in cancer dissemination.

Authors:  David Naor; Shulamit B Wallach-Dayan; Muayad A Zahalka; Ronit Vogt Sionov
Journal:  Semin Cancer Biol       Date:  2008-03-29       Impact factor: 15.707

5.  A novel algorithm for reliable detection of human papillomavirus in paraffin embedded head and neck cancer specimen.

Authors:  Serge J Smeets; Albertus T Hesselink; Ernst-Jan M Speel; Annick Haesevoets; Peter J F Snijders; Michael Pawlita; Chris J L M Meijer; Boudewijn J M Braakhuis; C René Leemans; Ruud H Brakenhoff
Journal:  Int J Cancer       Date:  2007-12-01       Impact factor: 7.396

6.  Incidence of human papillomavirus (HPV) positive tonsillar carcinoma in Stockholm, Sweden: an epidemic of viral-induced carcinoma?

Authors:  Anders Näsman; Per Attner; Lalle Hammarstedt; Juan Du; Mathilda Eriksson; Geraldine Giraud; Sofie Ahrlund-Richter; Linda Marklund; Mircea Romanitan; David Lindquist; Torbjörn Ramqvist; Johan Lindholm; Pär Sparén; Weimin Ye; Hanna Dahlstrand; Eva Munck-Wikland; Tina Dalianis
Journal:  Int J Cancer       Date:  2009-07-15       Impact factor: 7.396

7.  Expression of E-cadherin, and CD44s and CD44v6 and its association with prognosis in head and neck cancer.

Authors:  Toshirou Kawano; Yoshiyasu Nakamura; Shunsuke Yanoma; Akira Kubota; Madoka Furukawa; Youhei Miyagi; Mamoru Tsukuda
Journal:  Auris Nasus Larynx       Date:  2004-03       Impact factor: 1.863

8.  A CD44⁻/CD24⁺ phenotype is a poor prognostic marker in early invasive breast cancer.

Authors:  Mohamed A H Ahmed; Mohammed A Aleskandarany; Emad A Rakha; Radwa Z A Moustafa; Ahmed Benhasouna; Christopher Nolan; Andrew R Green; Mohammad Ilyas; Ian O Ellis
Journal:  Breast Cancer Res Treat       Date:  2011-11-27       Impact factor: 4.872

9.  Tumor infiltrating CD8+ and Foxp3+ lymphocytes correlate to clinical outcome and human papillomavirus (HPV) status in tonsillar cancer.

Authors:  Anders Näsman; Mircea Romanitan; Cecilia Nordfors; Nathalie Grün; Hemming Johansson; Lalle Hammarstedt; Linda Marklund; Eva Munck-Wikland; Tina Dalianis; Torbjörn Ramqvist
Journal:  PLoS One       Date:  2012-06-12       Impact factor: 3.240

10.  Prevalence of human papillomavirus and survival in oropharyngeal cancer other than tonsil or base of tongue cancer.

Authors:  Linda Marklund; Anders Näsman; Torbjörn Ramqvist; Tina Dalianis; Eva Munck-Wikland; Lalle Hammarstedt
Journal:  Cancer Med       Date:  2012-06-03       Impact factor: 4.452

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  17 in total

1.  Expression Patterns of CD44 and AREG Under Treatment With Selective Tyrosine Kinase Inhibitors in HPV+ and HPV- Squamous Cell Carcinoma.

Authors:  Benjamin Kansy; Christoph Aderhold; Lena Huber; Sonja Ludwig; Richard Birk; Anne Lammert; Stephan Lang; Nicole Rotter; Benedikt Kramer
Journal:  Cancer Genomics Proteomics       Date:  2020 Sep-Oct       Impact factor: 4.069

2.  In vitro antitumor effects of FGFR and PI3K inhibitors on human papillomavirus positive and negative tonsillar and base of tongue cancer cell lines.

Authors:  Stefan Holzhauser; Ourania N Kostopoulou; Anna Ohmayer; Birthe K A Lange; Torbjörn Ramqvist; Teodora Andonova; Cinzia Bersani; Malin Wickström; Tina Dalianis
Journal:  Oncol Lett       Date:  2019-10-09       Impact factor: 2.967

3.  Correlation of LMP10 expression and clinical outcome in Human Papillomavirus (HPV) positive and HPV-Negative tonsillar and base of tongue cancer.

Authors:  Nikolaos Tertipis; Linnea Haeggblom; Cecilia Nordfors; Nathalie Grün; Anders Näsman; Andrea Vlastos; Tina Dalianis; Torbjörn Ramqvist
Journal:  PLoS One       Date:  2014-04-21       Impact factor: 3.240

Review 4.  Human papillomavirus and oropharyngeal cancer, the epidemics, and significance of additional clinical biomarkers for prediction of response to therapy (Review).

Authors:  Tina Dalianis
Journal:  Int J Oncol       Date:  2014-03-21       Impact factor: 5.650

5.  Reduced Expression of the Antigen Processing Machinery Components TAP2, LMP2, and LMP7 in Tonsillar and Base of Tongue Cancer and Implications for Clinical Outcome.

Authors:  Nikolaos Tertipis; Linnea Haeggblom; Nathalie Grün; Cecilia Nordfors; Anders Näsman; Tina Dalianis; Torbjörn Ramqvist
Journal:  Transl Oncol       Date:  2015-02       Impact factor: 4.243

Review 6.  Human papillomavirus and tonsillar and base of tongue cancer.

Authors:  Torbjörn Ramqvist; Nathalie Grün; Tina Dalianis
Journal:  Viruses       Date:  2015-03-20       Impact factor: 5.048

7.  Targeted sequencing of tonsillar and base of tongue cancer and human papillomavirus positive unknown primary of the head and neck reveals prognostic effects of mutated FGFR3.

Authors:  Cinzia Bersani; Lars Sivars; Linnea Haeggblom; Sebastian DiLorenzo; Michael Mints; Andreas Ährlund-Richter; Nikolaos Tertipis; Eva Munck-Wikland; Anders Näsman; Torbjörn Ramqvist; Tina Dalianis
Journal:  Oncotarget       Date:  2017-05-23

8.  Expression of LRIG1 is associated with good prognosis and human papillomavirus status in oropharyngeal cancer.

Authors:  D Lindquist; A Näsman; M Tarján; R Henriksson; T Tot; T Dalianis; H Hedman
Journal:  Br J Cancer       Date:  2014-02-18       Impact factor: 7.640

9.  Targeted Therapy With PI3K and FGFR Inhibitors on Human Papillomavirus Positive and Negative Tonsillar and Base of Tongue Cancer Lines With and Without Corresponding Mutations.

Authors:  Stefan Holzhauser; Nicole Wild; Mark Zupancic; Ramona G Ursu; Cinzia Bersani; Anders Näsman; Ourania N Kostopoulou; Tina Dalianis
Journal:  Front Oncol       Date:  2021-05-11       Impact factor: 6.244

10.  Discrimination of Cancer Stem Cell Markers ALDH1A1, BCL11B, BMI-1, and CD44 in Different Tissues of HNSCC Patients.

Authors:  Kariem Sharaf; Axel Lechner; Stefan P Haider; Robert Wiebringhaus; Christoph Walz; Gisela Kranz; Martin Canis; Frank Haubner; Olivier Gires; Philipp Baumeister
Journal:  Curr Oncol       Date:  2021-07-19       Impact factor: 3.677

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