Keywords
Carcinoma - human - immunohistochemistry - prognosis - squamous cell of the head and neck - TP63 protein
Introduction
Oral cancer remains one of the most debilitating and disfiguring of all malignancies. Our knowledge on the prevention and treatment of cancer is increasing, yet the number of new cases grows every year.[1] The survival rates for oral cancer vary, depending on several factors: the stage of the lesion, the site of the primary tumor, the adequacy of initial treatment, and the histological differentiation of the malignancy.[2] Oral carcinogenesis is a highly complex multifocal process that takes place when squamous epithelium is affected by several genetic alterations.[3] In recent years, considerable progress has been made in understanding the genetic basis of the development of oral squamous cell carcinoma (OSCC). Alterations of the p53 tumor suppressor gene are the most frequently documented genetic abnormalities in human cancer, especially OSCC.[4] p53 belongs to a family which includes p63 and p73, which are expected to play a role in cancer development due to their close homology to p53. A large data collected over the years have indicated that altered expression of p63 and p73 could be found in different neoplasia and play a role in its biology.[5]
Since p63, in tumorigenesis, is attributed to various roles such as, apoptosis,[6] cellular senescence,[7] tumor suppression,[6] interplay with NOTCH pathways,[8] cellular proliferation [7] and oncogenetic properties,[5],[6] due to the diversity in the gene structure,[9] and availability of numerous isoforms,[6] studies conducted on the applicability of p63 as a prognostic marker has delivered varied, contrasting results in different types of cancers.
Although p63 is an accepted prognostic marker in various other carcinomas, no consensus has been obtained till date regarding the applicability of p63 as a prognostic marker in head and neck squamous cell carcinomas (SCC).[5]
Hence, the present study was conducted to determine the applicability of p63 as a prognostic marker in OSCC using incisional biopsies and aid to mitigate the overall effect of various isoforms of p63 in the pathogenesis of OSCCs.
Materials and Methods
The present study was duly cleared for implementation by the University Ethical Committee, and an informed consent was obtained from all the candidates included in the study.
Twenty-seven candidates who were histopathologically diagnosed with SCC (8070/3) of the oral cavity (C06.9) between January 2013 and June 2014 and decided to undergo treatment for the disease in our center were included in the trial. This sample excluded patients in whom mortality was encountered due to intra- and post-operative complications of surgery, history of other systemic/immunodeficiency disorders, and recurrent cases of OSCC.
Formalin-fixed paraffin-embedded (FFPE) tissue blocks of the incisional biopsies of all the 27 included candidates were retrieved from the pathology archives, and fresh H and E-stained sections were interpreted by three qualified pathologists for confirmation of the histological grade of OSCC as per Broders' classification [10] and calculation of the mean Anneroth score (MAS) based on the morphological (degree of keratinization, nuclear pleomorphism, number of mitotic figures per high power field [HPF]), and histological (pattern of invasion, stage of invasion, and lymphoplasmacytic infiltrate) scoring parameters of Anneroth's multifactorial grading system.[11] The various clinicopathological variables of the included study candidates have been tabulated in [Table 1].
Table 1
Clinicopathological variables of included study candidates
Variables in study candidates
|
Number of cases (%)
|
OSCC – Oral squamous cell carcinoma; NOS – Not otherwise specified; ADf – Alive, disease free; AwD – Alive, with disease; DoD – Dead of disease: DoC – Dead of any other cause; S + RT – Surgery + postoperative radiotherapy; TNM – Tumor, node, and metastasis
|
Sample size (OSCC)
|
27
|
Age (years)
|
10-19
|
1 (3.7)
|
30-39
|
4 (14.81)
|
40-49
|
5 (18.51)
|
50-59
|
10 (37.03)
|
60-69
|
6 (22.22)
|
70-79
|
1 (3.7)
|
Sex
|
Male
|
21 (77.77)
|
Female
|
6 (22.22)
|
Site
|
Oral cavity, NOS (C06.9)
|
27
|
Cheek mucosa (C06.0)
|
19 (70.37)
|
Gum (C03.9)
|
5 (18.51)
|
Dorsal surface of tongue (C02.0)
|
3 (11)
|
TNM staging
|
Stage II (pT2N0M0)
|
12 (44.44)
|
Stage III (pT3N0M0)
|
6 (22.22)
|
Stage III (pT2NjM0)
|
4 (14.81)
|
Stage III (pT3NjM0)
|
5 (18.51)
|
Treatment protocol
|
S alone
|
20 (74.07)
|
S + RT
|
7 (25.93)
|
Broders’ classification
|
Grade I (well-differentiated OSCC)
|
10 (37.03)
|
Grade II (moderately differentiated
|
10 (37.03)
|
OSCC)
|
Grade III (poorly differentiated
|
7 (25.93)
|
OSCC)
|
Anneroth’s multifactorial grading system
|
Mean Anneroth score (<2.5)
|
14 (51.85)
|
Mean Anneroth score (2.6-4.0)
|
13 (48.15)
|
Percentage p63 expression
|
<50%
|
5 (18.52)
|
50%-75%
|
9 (33.33)
|
>75%
|
13 (48.15)
|
Status at end date
|
ADf
|
15 (55)
|
AwD
|
Nil
|
DoD
|
12 (45)
|
DoC
|
Nil
|
Follow-up period (days)
|
Range
|
121-949
|
Mean
|
479.15
|
FFPE tissue blocks of normal oral mucosa (n = 10) obtained during therapeutic or surgical extractions were included as a control group.
Immunohistochemistry
From each FFPE tissue block selected, 3 μm thick sections were made on poly-l-lysine (0.1% [w/v] in H2O) (Sigma-Aldrich, Missouri, USA) coated slides. Sections were deparaffinized and rehydrated with xylene and serial dilutions of ethanol to distilled water. Tissue sections were immersed in EDTA buffer at a pH of 9 (EZ 2, Biogenex, Fremont, USA, ready to use), and heat-induced epitome retrieval was done using autoclave method at 120°C, 12–15 psi for 15 min. For each sample, anti-p63 antibody (Clone: 4A4) (Biogenex, Fremont, USA, mouse IgG, ready to use) was used as the primary antibody for 45 min incubation at room temperature in a humidity chamber. The antigen–antibody binding was detected with labeled anti-mouse polymer-horseradish peroxidase detection system and 3, 3'-diaminobenzidine + chromogen (Biogenex, Fremont, USA). Tissue sections were briefly immersed in hematoxylin for counterstaining. In all cases, staining of dysplastic epithelial cells served as positive internal controls for anti-p63 antibody, and the antigenic potential of the tissue blocks was confirmed by applying pan-cytokeratin cocktail (Biogenex, Fremont, USA, mouse IgG, ready to use) as primary antibody on the subsequent sections. For negative control, the primary antibody was replaced by mouse-negative control (nonimmune serum in phosphate-buffered saline with 0.09% sodium azide).
Quantitative assessment of p63 expression
The p63-stained slides were initially analyzed at low magnification (original magnification × 100) to select cancer islands which were defined as cancer tissue without fibroblasts and vasculature. Five HPFs (original magnification × 400) were selected in tumor proper area for each case of experimental group and in the epithelium of the control group, and the percentage of immune-reactive dysplastic cells was calculated by counting the dysplastic epithelial cells using manual tag function in the selected HPFs using Image Pro Express ver. 6.0 (Media Cybernetics Inc. Rockville, Maryland, USA) analysis software. The percentage of immune-reactive dysplastic cells for each case was calculated using the following formula.
Percentage of p63 immune-reactive dysplastic cells = Total no. of p63-positive dysplastic epithelial cells/Total no. of dysplastic epithelial cells × 100%
The percentage p63 expression for each sample was calculated, and the results were tabulated against the corresponding data on the survival status of the respective study candidate [Table 2].
Table 2
Clinicopathological parameters of the study candidates along with their survival status
Case number
|
Age/sex
|
Broders’ classification
|
Mean Anneroth score
|
TNM staging
|
Treatment protocol
|
Percentage p63 expression
|
Follow-up (days)
|
Survival status
|
ADf – Alive, disease free; DoD – Dead of disease; SCC – Squamous cell carcinoma; S + RT – Surgery + postoperative radiotherapy; TNM – Tumor, node, and metastasis
|
1
|
60/female
|
Grade I SCC
|
1.6667
|
Stage II (pT2N0M0)
|
S
|
42.4513
|
949
|
ADf
|
2
|
52/male
|
Grade I SCC
|
2.3333
|
Stage III ^NM,)
|
S
|
46.0377
|
942
|
ADf
|
3
|
65/male
|
Grade I SCC
|
2.6667
|
Stage III (pT3N1M0)
|
S
|
87.9194
|
322
|
DoD
|
4
|
39/male
|
Grade I SCC
|
1.8333
|
Stage II (pT2N0M0)
|
S
|
58.3756
|
926
|
ADf
|
5
|
50/male
|
Grade I SCC
|
2.6667
|
Stage III (p^NM
|
S + RT
|
72.2599
|
128
|
DoD
|
6
|
45/male
|
Grade I SCC
|
2
|
Stage II (pT2N0M0)
|
S
|
37.4057
|
735
|
ADf
|
7
|
32/male
|
Grade I SCC
|
2.1667
|
Stage II (pT2N0M0)
|
S
|
52.9182
|
460
|
ADf
|
8
|
58/female
|
Grade I SCC
|
2.3333
|
Stage II (pT2N0M0)
|
S
|
79.1411
|
279
|
DoD
|
9
|
40/male
|
Grade I SCC
|
1.8333
|
Stage III ^NM,)
|
S + RT
|
49.6977
|
856
|
ADf
|
10
|
50/female
|
Grade I SCC
|
2.3333
|
Stage III (p^NM
|
S
|
34.3103
|
772
|
ADf
|
11
|
60/male
|
Grade II SCC
|
2.1667
|
Stage III (pT3N,M,)
|
S
|
70.3557
|
874
|
ADf
|
12
|
34/male
|
Grade II SCC
|
2.8333
|
Stage III (p^NM
|
S
|
83.5924
|
179
|
DoD
|
13
|
30/male
|
Grade II SCC
|
1.6667
|
Stage II (pT2N0M0)
|
S
|
61.4661
|
543
|
ADf
|
14
|
60/Male
|
Grade II SCC
|
2.6667
|
Stage III (pT^M,)
|
S + RT
|
77.9951
|
168
|
DoD
|
15
|
71/female
|
Grade II SCC
|
2.1667
|
Stage II (pT2N0M0)
|
S
|
81.7857
|
338
|
DoD
|
16
|
41/male
|
Grade II SCC
|
3.6667
|
Stage II (pT2N0M0)
|
S
|
74.3065
|
298
|
DoD
|
17
|
48/male
|
Grade II SCC
|
2.8333
|
Stage III (pT^M,)
|
S + RT
|
72.1297
|
523
|
ADf
|
18
|
61/male
|
Grade II SCC
|
2.5
|
Stage II (pT2N0M0)
|
S
|
78.8359
|
460
|
ADf
|
19
|
56/male
|
Grade II SCC
|
2
|
Stage II (pT2N0M0)
|
S
|
67.1755
|
502
|
ADf
|
20
|
19/male
|
Grade II SCC
|
2.6667
|
Stage III (p^NM
|
S + RT
|
75.2562
|
462
|
ADf
|
21
|
45/female
|
Grade III SCC
|
3.5
|
Stage III (p^NM
|
S
|
83.087
|
225
|
DoD
|
22
|
55/male
|
Grade III SCC
|
3
|
Stage II (pT2N0M0)
|
S
|
86.0549
|
194
|
DoD
|
23
|
50/male
|
Grade III SCC
|
2.6667
|
Stage III (p^NM
|
S
|
91.7867
|
141
|
DoD
|
24
|
55/male
|
Grade III SCC
|
3.1667
|
Stage III (pT2N1M0)
|
S + RT
|
87.7478
|
820
|
ADf
|
25
|
60/male
|
Grade III SCC
|
2.8333
|
Stage III (pT^M,)
|
S + RT
|
87.0114
|
121
|
DoD
|
26
|
50/female
|
Grade III SCC
|
2.1667
|
Stage II (pT2N0M0)
|
S
|
61.2959
|
510
|
ADf
|
27
|
55/male
|
Grade III SCC
|
3
|
Stage III (p^NM
|
S
|
83.2356
|
210
|
DoD
|
Results
Statistical analysis
The data were statistically analyzed using GraphPad Prism 5.03 for Windows (GraphPad Software Inc., La Jolla, CA, USA). P <0.05 was considered significant.
p63 expression in normal oral mucosa
Normal human oral mucous epithelium had a basal and parabasal pattern of p63 expression. The labeling was only nuclear, with nuclei showing an intense staining, stronger in the basal layer with respect to the parabasal layer (with nuclei of the parabasal layer showing only a faint staining). In general, keratinocytes of suprabasal layers were not immunolabeled by anti-p63 antibody although a slight expression of p63 was recorded in some areas [Figure 1]d. Thus, normal epithelium included a mean of 20.86% (range: 9.26%–36.59%) of stained cells.
Figure 1: p63 expression in (a) Grade I oral squamous cell carcinoma, (b) Grade II oral squamous cell carcinoma, (c) Grade III oral squamous cell carcinoma, (d) Normal oral mucosa (immunoperoxidase, original magnification ×400)
p63 expression in squamous cell carcinomas of the oral cavity
Various staining patterns were observed for p63 expression in OSCCs. It was observed that the pattern of staining differs between the grading of neoplasms. Grade I neoplasms [Figure 1]a showed a varied range of p63 expression (range: 34.31%–87.91%; mean = 56.05%). In Grade II neoplasms [Figure 1]b, the mean % p63 expression was higher when compared to Grade I OSCCs (mean: 74.29%; range: 61.47–83.6%) and lesser when compared to poorly differentiated neoplasms (Group III) [Figure 1]c which showed the most intense and diffuse labeling (mean: 82.89%; range: 61.29%–91.79%) [Table 2]. Staining for p63 was not detected in the keratin pearl areas in both Grade I and Grade II neoplasms.
A statistically significant correlation (P = 0.0203) was found between p63 expression and the histological grading of the tumor; in fact, the percentage of cells expressing p63 was lower in well-differentiated tumors (Grade I) with respect to poorly differentiated tumors (Grade III) [Table 3].
Table 3
Percentage p63 expression and mean Anneroth scores of various grades of oral squamous cell carcinoma
Factor analyzed
|
Grade I SCC (n=10)
|
Grade II SCC (n=10)
|
Grade III SCC (n=07)
|
Normal oral mucosa (n=10)
|
One-way ANOVA (P)
|
Tukey’s multiple comparison test
|
SCC – Squamous cell carcinoma
|
Mean Anneroth score (mean)
|
2.1833
|
2.5167
|
2.9047
|
Not applicable
|
0.013
|
P<0.05 between Grade I SCC and Grade III SCC
|
Percentage p63 expression (mean)
|
56.0517
|
74.2899
|
82.8885
|
20.8655
|
0.0203
|
P<0.05 between Grade I SCC and Grade II SCC, Grade III SCC, normal mucosa; Grade II SCC, Grade III SCCs and normal mucosa
|
Similarly, a statistically significant correlation (P = 0.013) was obtained between MAS and the Broders' histological grading of the tumor; the MAS was lower in well-differentiated tumors (Grade I) when compared to that of the poorly differentiated counterparts (Grade III) [Table 3].
To analyze the prognostic significance of p63, the study candidates were subclassified into three subgroups based on their percentage p63 expression (subgroup x [n = 5]: <50% p63 expression; subgroup y [n = 9]: 50%–75% p63 expression; subgroup z [n = 13]: >75% p63 expression).
In addition, the prognostic applicability of Broders' classification (Grade I SCC [n = 10]; Grade II SCC [n = 10]; and Grade III SCC [n = 07]) and Anneroth's multifactorial grading system (MAS: ≤2.5 [n = 14]; MAS: 2.6–4.0 [n = 13]).
The patients with increased p63 expression (subgroup z) had poorer survival rates than the patients with comparatively lesser p63 expression (subgroup x, subgroup y). Among participants of subgroup x (05/27), the survival proportion was 100.00 after 949 days whereas data of participants of subgroup y (9/27) showed a survival proportion of 77.78 after 926 days of follow-up. Whereas in participants with the highest p63 expression, subgroup z (13/27), the survival proportion after 820 days of follow-up was 23.07. The statistical comparison of the survival curves was done by log-rank (Mantel-Cox) test which showed statistical significance (P = 0.0049) between the survival curves of patients of subgroups x, y, and z, respectively [Figure 2].
Figure 2: Kaplan–Meier survival curves based on various criteria of classification
Similarly, the patients with higher MAS (MAS = 2.6–4) had poorer survival rates when compared to the patients with lesser MAS (MAS ≤2.5). Among patients with MAS ≤2.5 (14/27), the survival proportion was 85.71 after 949 days of follow-up whereas data of patients with MAS = 2.6–4 showed a comparatively lower survival proportion of 23.07 after 820 days of maximum follow-up. The statistical comparison of the survival curves was done by log-rank (Mantel-Cox) test which showed statistical significance (P = 0.0003) between the survival curves of patients with MAS ≤2.5 and MAS = 2.6–4 [Figure 2].
On the contrary, when the tumors were classified based on Broders' classification, although the survival proportion of poorly differentiated (Grade III) tumors (28.57 after 820 days) was comparatively lower than the moderately (Grade II) (60.00 after 874 days) and well-differentiated (Grade I) neoplasms (70.00 after 949 days), the statistical comparison of the survival curves (log-rank [Mantel-Cox] test) showed no statistical significance (P = 0.1016) [Figure 2].
Moreover, when the mean and standard error of mean (X ± SEM) of the percentage p63 expression of the study participants classified based on their survival period following diagnosis, it was observed that there was a statistically significant increase (P = 0.0004) in the mean % p63 expression of patients with <479 days (mean no. of follow-up) of overall of Grade I SCC (79.77 ± 4.532) and Grade II SCC (79.42 ± 2.065) when compared to the participants with >479 days' survival (Grade I SCC = 45.89 ± 3.228; Grade II SCC = 70.87 ± 2.494). In Grade III SCC participants, although there was an increase in the mean % p63 expression in participants with <479 days of survival (86.24 ± 1.587) when compared to those with >479 days of survival (74.52 ± 13.23), no statistical significance was obtained [Table 4].
Table 4
Table 4: Study candidates tabulated based on mean survival (days)
Broders’ grading
|
Mean Anneroth score (mean±SEM)
|
Percentage p63 expression (mean±SEM)
|
Survival
|
Inference (unpaired t-test)
|
Survival
|
Inference (unpaired t-test)
|
>479 days
|
<479 days
|
|
>479 days
|
<479 days
|
SCC – Squamous cell carcinoma; SEM – Standard error of mean
|
Grade I SCC
|
2.024±0.0991
|
2.556±0.1111
|
Significant (P=0.0141)
|
45.89±3.228
|
79.77±4.532
|
Significant (P=0.0004)
|
Grade II SCC
|
2.306±0.1796
|
2.833±0.3118
|
Nonsignificant (P=0.1521)
|
70.87±2.494
|
79.42±2.065
|
Significant (P=0.0412)
|
Grade III SCC
|
2.667±0.5
|
3.000±0.1394
|
Nonsignificant (P=0.3881)
|
74.52±13.23
|
86.24±1.587
|
Nonsignificant (P=0.1784)
|
Similarly, when the X ± SEM of MAS of study participants classified based on survival period following diagnosis, it was compared; although there was an increase in the MAS of patients with <479 days of survival when compared to those with >479 days of survival in all the three histological grades of the neoplasm (Grade I, II, III SCCs), statistical significance was obtained only for well-differentiated neoplasms [Table 4].
Discussion
The p63 proteins are important in the formation of the oral mucosa, and in normal oral mucosa, there is a balance between the six proteins belonging to the p63 family. In contrast, an imbalance in levels between them is seen in SCCs, in the same area.[12],[13] Although numerous studies have preferably used semi-quantitative analysis and quick scoring methods for grading immunoperoxidase expression in immunohistochemistry,[12],[14] our primary intent was to exactly quantify the p63 expression of every HPF assessed. Hence, quantitative assessment was done using manual tag function of Image Pro Express ver. 6.0 (Media Cybernetics Inc., Rockville, MD, USA) analysis software. Although, being a comparatively more time-consuming process than semi-quantitative analysis, the results could be stipulated to the exact percentage of immunoperoxidase expression in each HPF included, as compared to results expressed in “range” in semi-quantitative methods. This method can be preferred at centers with a limited access to automated quantification facilities.
Cancer arises in a multistep process resulting from the sequential accumulation of genetic and epigenetic defects and the clonal expansion of selected cell populations.[15] The p53 gene, first described in 1979, was the first tumor suppressor gene to be identified. It was originally believed to be an oncogene – a cell-cycle accelerator – but genetic and functional data obtained 10 years after its discovery showed it to be a tumor suppressor.[16] In 1997–1998, two additional members of the p53 family, namely, p63 and p73 which had a close structural homology with their predecessor were discovered.[17]
The complexity of the study of p63 is due to the existence of multiple isoforms (six known isoforms, namely, TA-p63α, TA-p63 β, TA-p63 γ, ΔN-p63α, ΔN-p63 β, and ΔN-p63 γ) with opposing functions.[18] The multiple numbers of antibodies that are needed to be employed distinguish between these isoforms have made the ability to analyze the expression of p63 difficult in human tumors. Many studies have found that p63 is overexpressed in human tumors while other studies have shown a loss of expression of p63.[6]
The present study was intended to evaluate whether the amount of p63 expression (expressed as percentage expression) could be related to any of the histological grading which is generally used to define the aggressiveness of the tumor such as the Broders' classification and Anneroth's multifactorial grading system, which takes into consideration various morphological and histological parameters previously mentioned. Furthermore, the multifactorial grading system is considered to have greater significance in predicting the growth capacity and outcome of the tumor.[19] Although the multifactorial grading of invasive sites/front has shown highly significant prognostic value,[20],[21] since the intent was to use incisional biopsy tissue, parameters of Anneroth's multifactorial grading system were preferred over Bryne's multifactorial grading system,[21] since the grading criteria of the latter were not applicable for most of the incisional biopsies included in the study since they contained only the tumor tissue.[20]
Interestingly, the survival curves showed a statistically significant correlation (P = 0.0003) between the study samples when categorized based on their MAS [Figure 2]. Hence, the Anneroth's multifactorial grading system can be preferred for initial assessment of prognosis and the aggressiveness of the tumor when incisional biopsy tissue alone is available for the pathologist. Moreover, we advocate the use of Anneroth's multifactorial grading system for routine histopathological reporting, over Broders' system, since the survival curves showed no prognostic significance (P = 0.1016) [Figure 2]. This finding was in consensus with the results of various previously conducted studies.[19],[20],[21],[22],[23]
The survival curves showed a statistically significant correlation (P = 0.0049) when the study candidates were classified based on their percentage p63 expression [Figure 2]. Studies conducted by Lo Muzio et al. in 2005,[14] Gu et al. in 2008,[24] and Loljung et al. in 2014[12] found a significant correlation of p63 expression and patient survival in OSCCs, and Cho et al. in 2003[25] and Moergel et al. in 2010[26] associated increased p63 expression with radiation resistance whereas, on the other hand, the present study results are at odds with the findings of the studies conducted by Bortoluzzi et al. in 2004[27] and Monteiro et al. in 2016.[28]
Data from the p63 field currently demonstrate that p63 can act as a tumor suppressor or as an oncogene. The data are most consistent with supporting the idea that the ΔNp63 isoforms have oncogenic activities while the TAp63 isoforms have tumor suppressive activities.[5],[6],[7] In addition, discovery of the interactions of p63 in NOTCH pathway,[8] beta-catenin signaling pathway,[29] and control of growth signaling pathways involving cyclin kinase inhibitor, p21 and p57,[8] have validated the existence of a correlation between p63 expression and the invasive behavior of various tumors.
Flores, based on an extensive review of studies conducted on p63, put forth a hypothesis that the downregulation or loss of TAp63 and/or overexpression of ΔNp63 may lead to inhibition of the functions of TAp63, p53, and TAp73 which, in turn, will result in the development of an invasive and metastatic tumor. Furthermore, it was evident that mutant p53 could bind to TAp63 and TAp73, which would inhibit their function leading to the development of an invasive and metastatic tumor.[6]
Summary and Conclusion
In summary, we have shown expression of p63 to correlate with survival in OSCCs, where high expression was seen in tumors with poorer survival after treatment. Although the results of the present study have shown considerable promising evidence for the applicability of p63 as a prognostic marker for OSCCs, the completeness of the follow-up is crucial in any study of survival. Hence, it is intended to extend the follow-up for a longer period (5–10 years) and also accommodating additional cases, which we intend, will aid toward validating the applicability of p63 as a prognostic marker for OSCCs. Furthermore, the usage and importance of Anneroth's multifactorial grading system over Broders' grading system in routine histopathological reporting for incisional biopsies of OSCCs is stressed.