INTRODUCTION: Oral cancer accounts for approximately 2.1% of all cancers worldwide. In India, oral squamous cell carcinoma (OSCC) is the most common cancer with half a million new cases diagnosed every year. More than 50% of patients eventually develop local recurrence or metastasis usually within the first 2-years following completion of treatment. It is beneficial to analyze the prognostic significance of Cyclin D1, p53 and EGFR which are critical mediators in the pathogenesis of OSCC. The objective of this study was to assess the association of expression of these markers with recurrence and pattern of recurrence in OSCC patients undergoing chemoradiation. MATERIALS AND METHODS: A Total 290 OSCC cases of locally advanced stage (III, IV) oral cancer with World Health Organization (W.H.O.) performance status of grade 0/1 in the year 2009-2012 were enrolled in the study. Treatment response was assessed according to W.H.O. criteria. Cyclin D1, EGFR and p53 expression in tumor tissue was estimated by immunohistochemical (IHC) method and quantified as percentage positive nuclei. RESULTS: During the 2-years follow up, 56 (19.3%) patients recurred, out of which, 47 (83.9%) were locoregional and 9 (16.1%) distant sites. On correlating, χ2 test showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of marker expressions (Cyclin D1, EGFR and p53) with recurrence. The strong positive expressions of all three markers showed significant association with early time of recurrence. The multivariate logistic regression analysis showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of recurrence with primary site, differentiation, Cyclin D1 and p53 expressions indicating these as an independent predictors of recurrence in OSCC. The Cyclin D1, EGFR and p53 expressions also showed significant (P < 0.001) poor survivals (OS, DFS and RFS) in patients with positive/strong positive expressions than negative expression suggesting their prognosis in OSCC. CONCLUSION: Our results signifies that tumors over expressing Cyclin D1, EGFR and p53 are resistant to chemoradiation and are associated with increased risk of locoregional recurrence and metastasis in OSCC patients undergoing chemoradiation.
INTRODUCTION:Oral cancer accounts for approximately 2.1% of all cancers worldwide. In India, oral squamous cell carcinoma (OSCC) is the most common cancer with half a million new cases diagnosed every year. More than 50% of patients eventually develop local recurrence or metastasis usually within the first 2-years following completion of treatment. It is beneficial to analyze the prognostic significance of Cyclin D1, p53 and EGFR which are critical mediators in the pathogenesis of OSCC. The objective of this study was to assess the association of expression of these markers with recurrence and pattern of recurrence in OSCC patients undergoing chemoradiation. MATERIALS AND METHODS: A Total 290 OSCC cases of locally advanced stage (III, IV) oral cancer with World Health Organization (W.H.O.) performance status of grade 0/1 in the year 2009-2012 were enrolled in the study. Treatment response was assessed according to W.H.O. criteria. Cyclin D1, EGFR and p53 expression in tumor tissue was estimated by immunohistochemical (IHC) method and quantified as percentage positive nuclei. RESULTS: During the 2-years follow up, 56 (19.3%) patients recurred, out of which, 47 (83.9%) were locoregional and 9 (16.1%) distant sites. On correlating, χ2 test showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of marker expressions (Cyclin D1, EGFR and p53) with recurrence. The strong positive expressions of all three markers showed significant association with early time of recurrence. The multivariate logistic regression analysis showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of recurrence with primary site, differentiation, Cyclin D1 and p53 expressions indicating these as an independent predictors of recurrence in OSCC. The Cyclin D1, EGFR and p53 expressions also showed significant (P < 0.001) poor survivals (OS, DFS and RFS) in patients with positive/strong positive expressions than negative expression suggesting their prognosis in OSCC. CONCLUSION: Our results signifies that tumors over expressing Cyclin D1, EGFR and p53 are resistant to chemoradiation and are associated with increased risk of locoregional recurrence and metastasis in OSCC patients undergoing chemoradiation.
Oral cancer accounts for approximately 2.1% of all cancers worldwide, with an estimated 300,000 new cases and 145,000 deaths in 2012 [1]. Moreover highest mortality rates (77%) occurred in the developing countries. In India, oral squamous cell carcinoma (OSCC) is the most common cancer with half a million new cases diagnosed every year [2]. It is more common in males with a large fraction of cases typically diagnosed in late stages and are usually treated by chemoradiation [3]. Prognosis is still relatively poor and has shown only slow progress with 5-year actuarial survival rates between 30% and 40% in most of the studies [4]. Patients in advance stage usually presents with multiple cervical lymph node metastasis, which further decreases the 5-years cancer specific survival by 50% when compared with node negative patients [5]. Despite of significant improvement achieved during the last decades in its detection, prevention and treatment; outcome and prognosis related to cure and survival have still been poorer due to tragic event of treatment resistance and tumor recurrence. More than 50% of patients eventually develop local recurrence or metastasis usually within the first 2 years following completion of treatment [6].Prognosis and treatment outcome is certainly influenced by stage, tumor grade, site, depth of invasion, lymphovascular spread, patient’s age, and performance; however it has been found that in same stage disease, response to treatment varies with individual, might be due to variation in tumor biology related to cell morphology or genetic phenotype of the tumor [7]. Therefore heterogeneity of tumor cells introduces significant threat in the management of OSCC. Recent advances in molecular biology field and improved conception of the pathogenesis of OSCC have provided access to many new orientations to the research in this direction. The molecular markers of concern are those involved in cell cycle regulation and cell signaling pathway. Oncogenes which promote cell and tumor growth includes growth factor receptors (hst-1, int-2, EGFR/erbB,c-erbB-2/Her-2,sis), intracellular signal transducer (ras,raf,stat-3), transcription factors (myc, fos, jun, c-myc), cell-cycle regulators (Cyclin D1), apoptosis regulatory protein (bcl-2,bax) & tumor suppressor gene (p53, Rb) which encodes proteins that typically transduce negative growth regulatory signals; these have been identified as genetic alterations in each of the pathological stages of OSCC [6]. Out of these, Cyclin D1, EGFR and p53 gene have emerged as exquisitely critical mediators in the pathogenesis of OSCC. Activation of Cyclin D1, p53, EGFR are known to be inhibitors of apoptosis and play crucial role in initiation of intracellular signaling pathways which regulate the activation of cell proliferation, invasion, angiogenesis and metastasis and thereby influence treatment outcome Expression of these proteins have also been correlated with a more aggressive phenotype and worse prognosis. Therefore, quantification of the activation status of these markers would be a potential parameter for predicting treatment outcome [8, 9, 10]. Association of these markers with treatment response and survival have been examined in many studies, but very few studies have correlated the expression of these markers with tumor recurrence, which is a major concern in OSCC [11, 12]. Most of the work has been done in other malignancies like breast, lung, colorectal, bladder and Gastrointestinal tract [13, 14, 15, 16, 17]. Owing to most feared malignancy due to its aggressive nature and high mortality rate, there has been a constant search for new prognostic and predictive markers so as to understand the tumor behaviour, treatment outcome and tendency to recur. Search for the new markers might be considered as an emerging approach to individualize and facilitate treatment planning by categorizing patients according to risk factors detected, so that high risk patients might be kept under aggressive surveillance for the assessment of disease relapse.We have therefore conducted this study with the objective to assess the association of expression of Cyclin D1, EGFR and p53 with recurrence and pattern of recurrence in OSCC patients undergoing chemoradiation.
Materials and methods
Total 290 histologically proven new cases of locally advanced stage (III, IV, M0) oral cancer with World Health Organization (W.H.O.) performance status (PS) of grade 0/1 attending radiotherapy O.P.D, in the year 2009–2012 were enrolled in the study. These cases were assessed thoroughly (history, clinical examination and investigations). The study was approved by the ethics committee of the Institution, and written informed consent was obtained from all patients before enrollment. All the patients were given 2-cycles of induction taxol (175 mg/m2 day 1) and cisplatin (50 mg/m2 day 2) chemotherapy and were subjected for radiation along with concurrent cisplatin (35 mg/m2) 4-weeks from completion of induction chemotherapy. Radiotherapy was given by External beam Conventional Method (200CGy/fraction to a total dose of 70 Gy in 35 fractions in 7-weeks by cobalt60 to primary tumor site and neck. The protocol plan was continued despite mucositis or dermatitis. However, the dose of cisplatin was reduced to 50% if the calculated creatinine clearance level was 30–50 ml/min. No cisplatin was given if the creatinine clearance level was less than 30 ml/min. In presence of myelosupression (WBC count < 4000/mm3 or platelets count less than 100,000/mm3), persistent fever that exceeded 38 °C or other clinically apparent infections, chemoradiation was postponed for 1-week or interrupted.For histopathological and immunohistochemical studies, tumor samples from the lesion site was fixed in 10% buffered formalin and then embedded in paraffin. Paraffin embedded formalin fixed tissues were processed routine H & E stained sections evaluated to confirm the diagnosis of squamous cell carcinoma and to grade the lesion. Further sections were processed for Cyclin D1, EGFR and p53 biomarkers by immunohistochemistry (IHC) using primary monoclonal antibodies and a polymer based secondary antibody detection kit from Dakopatts, Denmark. Standard Immunohistochemistry protocol was used. In short deparaffinized rehydrated sections were blocked for endogenous peroxidases in 0.3% hydrogen peroxide in methanol, followed by a rinse in distill water. Antigen retrieval was achieved at 121 °C in 10 mM citrate buffer (pH 6.0) for 10 minutes using Pascal retrieval system from Dakopatts, Denmark. Slides cooled to room temperature were washed thrice with TBS and thereafter incubated overnight at 4 °C with Primary Antibdies to Cyclin D1 (Dakopatts Denmark), p53 (DO7, Leica Microsystems, Germany) and EGFR (BioGenex, USA). After washing with Tris-buffered saline, the sections were incubated for 30 minutes with secondary antibody. The Cyclin D1, EGFR and p53 were visualized with DAKO Liquid Diaminobenzidine substrate chromogen and counterstained with diluted Mayer’s haematoxylin. Sections mounted with DPX were inspected under a Zeiss Z2 imager and photographed at 40X magnification. The immunohistochemical evaluation was carried out in tumor hotspots including the invasion front, which was regarded as most indicative of the biological activity of the tumor, in 10 high power fields. About 1500–2000 tumor cells were observed in all tumors at a magnification of 40X in 10 selected fields. For Cyclin D1 and EGFRtumors were labeled as negative if <10%, moderate positive between 10–50% and strongly positive if >50%, tumor cells expressed the antigen [18, 19]. The p53 expression was evaluated as negative if <10%, moderate positive between 10–25% and strongly positive if >25% [20].Assessment of tumor response was done by clinical examination, radiological investigations (CT-scan) 4–6 weeks after completion of treatment. Biopsy or fine needle aspiration cytology to determine pathological response was not performed routinely; it was done only in case of recurrent disease/partial response of the clinically and radiologically suspected lesion to confirm the presence of disease. The definitions of treatment response viz. complete response (CR), partial response (PR) and no response (NR) [stable disease (SD) + progressive disease (PD)] were based on the standard definitions established by W.H.O. (1979). After chemoradiation, patients were followed up to 2-years and were assessed for the recurrence and survival.The primary end measures of the study was to assess the association of expression of Cyclin D1, EGFR and p53 with recurrence, time to recurrence and type of recurrence in OSCC patients undergoing chemoradiation. The secondary end point of the study was 2-years survivals (overall, disease free and recurrence free). Survival time was defined as the interval between the date of initial treatment and the date of the last follow up examination.
Sample size determination
The sample size and power the test statistics of present study is based on complete response followed by recurrence within 2 years in OSCC patients undergoing chemoradiation. Expecting at least 25% recurrence within two year after complete response in OSCC patients undergoing chemoradiation and considering 5% margin of error (type I error: α = 0.05) and 80% power (type II error: 1-β = 0.80), minimum 290 patients will be required for the study is evaluated [21] as below:where,n = sample sizet = confidence level of t statistic at 95%, standard value = 1.96p = effect size = 25%e = margin of error = 0.05%Thus, a minimum 290 patients will required to get at least 25% recurrence in OSCC patients undergoing chemoradiation.
Statistical analysis
Continuous data were summarized as Mean ± SE (standard error of the mean) while discrete (categorical) in number and percentage. Continuous groups were compared by Student’s t-test or one way analysis of variance (ANOVA) followed by Tukey’s post hoc test whereas applicable. Categorical groups were compared by chi-square (χ2) test. Pearson correlation analysis was also done to asses association between the variables. Binary logistic regression analysis was done to assess association and risk predictors of recurrence. Cox-regression analysis was done to find out independent predictors of overall survival and recurrence. Survival between groups was done by Kaplan-Meier method followed by Log rank (Mantel-Cox: χ2) test. A two-tailed (α = 2) P < 0.05 was considered statistically significant.
Results
Clinico-pathological characteristics
The clinico-pathological characteristics of 290 OSCC patients are summarized in Table 1. The age of patients ranged from 20–67 years with mean (± SE) 50.49 ± 0.69 years and median 53 years. Most of the patients were ≤60 yrs (75.9%), mostly males (79.7%) and mostly belongs to poor socio-economic status (59.3%). Out of total, 66.2% patients had tobacco chewing habit, 62.4% had betel nut chewing habit and 55.9% had smoking habit. At initial presentation, the PS of 43.1% patients was poor. Further, in patients, buccal mucosa was the most common primary site (32.1%) followed by tongue (16.6%), alveolus (15.5%), retromolar trigone (RMT) (13.4%), hard palate (13.1%) and lip (9.3%). Moreover, histology of most of the patients was invasive squamous cell carcinoma (ISCC) (64.8%), grade well differentiated (67.2%), tumor size T4 (75.5%) and stage IV (78.6%). The radiological response of 44.1% patients was complete (CR), 46.6% was partial (PR) and 9.3% had no response (NR) accounting 90.7% responders (CR + PR).
Table 1
Clinico-pathological characteristics of OSCC patients.
The Cyclin D1, EGFR and p53 protein expressions of OSCC patients were done using IHC (Fig. 1) and quantified in percentage(%) and sub grouped into three groups (negative, positive and strong positive) (Table 2). The Cyclin D1, EGFR and p53 expression of patients ranged from 0–90%, 0–90% and 0–86% respectively with mean (± SE) 40.69 ± 1.29%, 51.33 ± 1.43% and 43.35 ± 1.38% respectively and median 40.0%, 50.0% and 48.0% respectively. According to Cyclin D1 expression, 31 (10.7%) patients were negative, 197 (67.9%) were positive and 62 (21.4%) were strong positive. The EGFR expression showed 13 (4.5%), 135 (46.6%) and 142 (49.0%) respectively and p53 expression showed 35 (12.1%), 46 (15.9%) and 209 (72.1%) respectively. On correlating the quantitative expressions, the Pearson correlation analysis showed significant and positive correlation between the marker expressions (Cyclin D1 vs. EGFR: r = 0.71, P < 0.001; Cyclin D1 vs. p53: r = 0.73, P < 0.001; EGFR vs. p53: r = 0.86, P < 0.001).
Fig. 1
Microphotograph showing Immunohistochemical expression of Cyclin D1 (A) showing negative nuclei (B) showing moderate positive stained nuclei (C) showing strongly positive stained nuclei (DAB × 125 × digital magnification); EGFR (D) showing negative cytoplasmic and membranous staining (E) showing moderate positive cytoplasmic and membranous staining (F) showing strongly positive cytoplasmic and membranous staining (DAB x 125 x digital magnification); p53 (H) showing negative nuclei (I) showing moderate positive stained nuclei (J) showing strongly positive stained nuclei (DAB x 125 x digital magnification) in OSCC.
Table 2
Marker expressions of OSCC patients.
Marker expression
(n = 290) (%)
Cyclin D1
Negative
31 (10.7)
Positive
197 (67.9)
Strong positive
62 (21.4)
EGFR
Negative
13 (4.5)
Positive
135 (46.6)
Strong positive
142 (49.0)
p53
Negative
35 (12.1)
Positive
46 (15.9)
Strong positive
209 (72.1)
Diagnostics of markers
Association of marker expressions with clinico-pathological characteristics
To find out diagnostic significance of markers, the association between marker expressions (negative/positive/strong positive) and clinico-pathological characteristics was done using χ2 test (Table 3). The χ2 test showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of Cyclin D1 expressions with performance status, histological grade, tumor size, node status, stage and radiological response. In contrast, EGFR expressions showed significant (P < 0.05 or P < 0.01 or P < 0.001) association with socio-economic status, histological grade, node status, stage and radiological response. Conversely, p53 expressions showed significant (P < 0.05 or P < 0.01 or P < 0.001) association with age, performance status, primary site, histological grade, tumor size, node status, stage and radiological response. Further, multivariate logistic regression analysis showed that the tobacco chewing, histological grade, tumor size, node status and stage were significant (P < 0.05 or P < 0.001) and an independent predictors of Cyclin D1 expressions (Table 4). In contrast, histological grade and node status were found significant (P < 0.01) and an independent predictors of EGFR expressions (Table 4). Conversely, age, tobacco chewing, betel nut chewing, primary site, histological grade, tumor size, node status and stage were found to be the significant (P < 0.05 or P < 0.01) and independent predictors of p53 expressions (Table 4).
Table 3
Association of marker expressions with clinico-pathological characteristics in OSCC patients (n = 290).
Variables
n(%)
Cyclin D1 expression
EGFR expression
p53 expression
Negative
Positive
Strong positive
P value
Negative
Positive
Strong positive
P value
Negative
Positive
Strong positive
P value
Age (yrs)
≤60
220
25 (11.4)
142 (64.5)
53 (24.1)
0.080
12 (5.5)
96 (43.6)
112 (50.9)
0.117
30 (13.6)
27 (12.3)
163 (74.1)
0.008
>60
70
6 (8.6)
55 (78.6)
9 (12.9)
1 (1.4)
39 (55.7)
30 (42.9)
5 (7.1)
19 (27.1)
46 (65.7)
Sex
Female
59
8 (13.6)
45 (76.3)
6 (10.2)
0.058
5 (8.5)
30 (50.8)
24 (40.7)
0.138
10 (16.9)
10 (16.9)
39 (66.1)
0.390
Male
231
23 (10.0)
152 (65.8)
56 (24.2)
8 (3.5)
105 (45.5)
118 (51.1)
25 (10.8)
36 (15.6)
170 (73.6)
Economic status
Upper/Middle
118
12 (10.2)
79 (66.9)
27 (22.9)
0.866
1 (0.8)
63 (53.4)
54 (45.8)
0.016
15 (12.7)
19 (16.1)
84 (71.2)
0.953
Poor
172
19 (11.0)
118 (68.6)
35 (20.3)
12 (7.0)
72 (41.9)
88 (51.2)
20 (11.6)
27 (15.7)
125 (72.7)
Tobacco chewing
No
98
7 (7.1)
66 (67.3)
25 (25.5)
0.231
7 (7.1)
37 (37.8)
54 (55.1)
0.051
9 (9.2)
10 (10.2)
79 (80.6)
0.064
Yes
192
24 (12.5)
131 (68.2)
37 (19.3)
6 (3.1)
98 (51.0)
88 (45.8)
26 (13.5)
36 (18.8)
130 (67.7)
Betel nut chewing
No
109
11 (10.1)
73 (67.0)
25 (22.9)
0.869
7 (6.4)
43 (39.4)
59 (54.1)
0.116
12 (11.0)
14 (12.8)
83 (76.1)
0.457
Yes
181
20 (11.0)
124 (68.5)
37 (20.4)
6 (3.3)
92 (50.8)
83 (45.9)
23 (12.7)
32 (17.7)
126 (69.6)
Smoking
No
128
13 (10.2)
95 (74.2)
20 (15.6)
0.084
7 (5.5)
58 (45.3)
63 (49.2)
0.750
21 (16.4)
16 (12.5)
91 (71.1)
0.073
Yes
162
18 (11.1)
102 (63.0)
42 (25.9)
6 (3.7)
77 (47.5)
79 (48.8)
14 (8.6)
30 (18.5)
118 (72.8)
PS
Good
165
21 (12.7)
117 (70.9)
27 (16.4)
0.039
8 (4.8)
86 (52.1)
71 (43.0)
0.067
26 (15.8)
29 (17.6)
110 (66.7)
0.037
Poor
125
10 (8.0)
80 (64.0)
35 (28.0)
5 (4.0)
49 (39.2)
71 (56.8)
9 (7.2)
17 (13.6)
99 (79.2)
Primary site
Buccal mucosa
93
8 (8.6)
67 (72.0)
18 (19.4)
0.560
5 (5.4)
34 (36.6)
54 (58.1)
0.064
3 (3.2)
8 (8.6)
82 (88.2)
<0.001
Other
197
23 (11.7)
130 (66.0)
44 (22.3)
8 (4.1)
101 (51.3)
88 (44.7)
32 (16.2)
38 (19.3)
127 (64.5)
Histology
SCC
102
6 (5.9)
76 (74.5)
20 (19.6)
0.099
2 (2.0)
53 (52.0)
47 (46.1)
0.175
13 (12.7)
20 (19.6)
69 (67.6)
0.391
ISCC
188
25 (13.3)
121 (64.4)
42 (22.3)
11 (5.9)
82 (43.6)
95 (50.5)
22 (11.7)
26 (13.8)
140 (74.5)
Grade
WD
195
31 (15.9)
149 (76.4)
15 (7.7)
<0.001
13 (6.7)
106 (54.4)
76 (39.0)
<0.001
34 (17.4)
46 (23.6)
115 (59.0)
<0.001
MD/PD
95
0 (0.0)
48 (50.5)
47 (49.5)
0 (0.0)
29 (30.5)
66 (69.5)
1 (1.1)
0 (0.0)
94 (98.9)
Tumor size
T2/T3
71
14 (19.7)
48 (67.6)
9 (12.7)
0.005
4 (5.6)
41 (57.7)
26 (36.6)
0.057
17 (23.9)
19 (26.8)
35 (49.3)
<0.001
T4
219
17 (7.8)
149 (68.0)
53 (24.2)
9 (4.1)
94 (42.9)
116 (53.0)
18 (8.2)
27 (12.3)
174 (79.5)
Node status
N0
89
16 (18.0)
69 (77.5)
4 (4.5)
<0.001
8 (9.0)
58 (65.2)
23 (25.8)
<0.001
18 (20.2)
25 (28.1)
46 (51.7)
<0.001
N1/N2
201
15 (7.5)
128 (63.7)
58 (28.9)
5 (2.5)
77 (38.3)
119 (59.2)
17 (8.5)
21 (10.4)
163 (81.1)
Stage
III
62
14 (22.6)
45 (72.6)
3 (4.8)
<0.001
4 (6.5)
39 (62.9)
19 (30.6)
0.005
17 (27.4)
19 (30.6)
26 (41.9)
<0.001
IV
228
17 (7.5)
152 (66.7)
59 (25.9)
9 (3.9)
96 (42.1)
123 (53.9)
18 (7.9)
27 (11.8)
183 (80.3)
Response
CR/PR
263
31 (11.8)
197 (74.9)
25 (13.3)
<0.001
13 (4.9)
135 (51.3)
115 (43.7)
<0.001
35 (13.3)
46 (17.5)
182 (69.2)
0.003
NR
27
0 (0.0)
0 (0.0)
27 (100.0)
0 (0.0)
0 (0.0)
27 (100.0)
0 (0.0)
0 (0.0)
27 (100.0)
Bold values are highly significant.
Table 4
Association of marker expressions with clinico-pathological characteristics in OSCC patients using multivariate logistic regression analysis (n = 290).
Variables
Cyclin D1 expression
EGFR expression
p53 expression
OR (95% CI)
P value
OR (95% CI)
P value
OR (95% CI)
P value
Age (yrs)
≤60
Ref
Ref
Ref
>60
1.09 (0.30–3.99)
0.902
1.03 (0.54–1.97)
0.928
0.16 (0.48–2.34)
0.014
Sex
Female
Ref
Ref
Ref
Male
0.27 (0.04–1.73)
0.168
0.59 (0.25–1.40)
0.234
1.24 (0.38–4.01)
0.718
Economic status
Upper/Middle
Ref
Ref
Ref
Poor
1.09 (0.34–3.45)
0.887
0.98 (0.55–1.74)
0.932
1.57 (0.73–3.35)
0.247
Tobacco chewing
No
Ref
Ref
Ref
Yes
4.96 (0.91–22.84)
0.039
1.22 (0.40–3.72)
0.724
8.92 (2.32–34.28)
0.001
Betel nut chewing
No
Ref
Ref
Ref
Yes
0.03 (0.00–1.51)
0.078
0.97 (0.31–3.04)
0.955
0.21 (0.05–0.86)
0.031
Smoking
No
Ref
Ref
Ref
Yes
3.00 (0.57–15.82)
0.195
1.59 (0.73–3.48)
0.243
1.47 (0.54–3.74)
0.470
PS
Good
Ref
Ref
Ref
Poor
0.94 (0.31–2.82)
0.912
0.70 (0.40–1.23)
0.217
0.70 (0.32–1.50)
0.355
Primary site
Buccal mucosa
Ref
Ref
Ref
Other
0.34 (0.09–1.34)
0.122
1.57 (0.88–2.80)
0.126
4.96 (1.90–13.04)
0.001
Histology
SCC
Ref
Ref
Ref
ISCC
2.82 (0.67–11.95)
0.159
0.88 (0.48–1.61)
0.675
1.09 (0.51–2.31)
0.833
Grade
WD
Ref
Ref
Ref
MD/PD
0.02 (0.00–0.15)
<0.001
0.42 (0.22–0.81)
0.009
0.03 (0.00–0.24)
0.001
Tumor size
T2/T3
Ref
Ref
Ref
T4
3.50 (0.69–17.41)
0.043
1.37 (0.22–8.62)
0.735
4.84 (0.69–12.17)
0.046
Node status
N0
Ref
Ref
Ref
N1/N2
0.29 (0.04–1.93)
0.020
0.33 (0.17–0.64)
0.001
0.31 (0.14–0.69)
0.004
Stage
III
Ref
0.031
Ref
0.275
Ref
0.040
IV
0.01 (0.00–0.87)
0.35 (0.05–2.30)
0.02 (0.00–0.25)
Response
CR/PR
Ref
Ref
Ref
NR
NA
–
NA
–
NA
–
NA: not applicable.
Bold values are highly significant.
Association of marker expressions with recurrence, site and type of recurrence
The patients were followed-up for 2 years (24 month). The survival duration of patients ranged from 1–24 month with mean (± SE) 10.84 ± 0.39 months and median 9 months. During the period, 210 (72.4%) patients were alive, 32 (11.0%) lost to follow-up (LTF) and 48 (16.6%) died due to disease accounting total 242 (83.4%) patients live (alive + LTF). Further, at final evaluation, 128 (44.1%) patients were disease free (i.e. CR) of which 56 developed recurrence during the two-years follow-up and thus the prevalence of recurrence being 43.8% or in other words 234 (80.7%) patients were recurrence free. Of total recurrence, 47 (83.9%) had locoregional and 9 (16.1%) had distant recurrence. Further, 3 (5.4%) had recurred in bone, 1 (1.8%) had in brain, 5 (8.9%) had in lung, 31 (55.4%) had in nodal and 16 (28.6%) had in primary. The association of marker expressions with recurrence, site and type of recurrence is also analyzed and summarized in Table 5. On correlating, χ2 test showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of marker expressions (Cyclin D1, EGFR and p53) with recurrence. The Cyclin D1 and EGFR expressions also showed significant (P < 0.05 or P < 0.001) association with site and type of recurrence.
Table 5
Association of marker expressions with recurrence, site of recurrence and type of recurrence in OSCC patients.
Variables
n
Cyclin D1 expression
EGFR expression
p53 expression
(%)
Negative
Positive
Strong positive
P value
Negative
Positive
Strong positive
P value
Negative
Positive
Strong positive
P value
Recurrence
No
234
31 (13.2)
167 (71.4)
36 (15.4)
<0.001
13 (5.6)
116 (49.6)
105 (44.9)
0.008
31 (13.2)
43 (18.4)
160 (68.4)
0.014
Yes
56
0 (0.0)
30 (53.6)
26 (46.4)
0 (0.0)
19 (33.9)
37 (66.1)
4 (7.1)
3 (5.4)
49 (87.5)
Site of recurrence
Bone
3
0 (0.0)
0 (0.0)
3 (100.0)
0.007
0 (0.0)
0 (0.0)
3 (100.0)
0.032
0 (0.0)
0 (0.0)
3 (100.0)
0.904
Brain
1
0 (0.0)
0 (0.0)
1 (100.0)
0 (0.0)
0 (0.0)
1 (100.0)
0 (0.0)
0 (0.0)
1 (100.0)
Lung
5
0 (0.0)
0 (0.0)
5 (100.0)
0 (0.0)
0 (0.0)
5 (100.0)
0 (0.0)
0 (0.0)
5 (100.0)
Nodal
31
0 (0.0)
22 (71.0)
9 (29.0)
0 (0.0)
16 (51.6)
15 (48.4)
3 (9.7)
1 (3.2)
27 (87.1)
Primary
16
0 (0.0)
8 (50.0)
8 (50.0)
0 (0.0)
3 (18.8)
13 (81.3)
1 (6.3)
2 (12.5)
13 (81.3)
Type of recurrence
Locoregional
47
0 (0.0)
30 (63.8)
17 (36.2)
<0.001
0 (0.0)
19 (40.4)
28 (59.6)
0.019
4 (8.5)
3 (6.4)
40 (85.1)
0.465
Distant
9
0 (0.0)
0 (0.0)
9 (100.0)
0 (0.0)
0 (0.0)
9 (100.0)
0 (0.0)
0 (0.0)
9 (100.0)
Bold values are highly significant.
Association of marker expressions with time of recurrence
The association of marker expressions with time of recurrence of 56 recurrent patients is summarized in Table 6. The recurrence time of patients ranged from 2–21 months with mean (± SE) 8.59 ± 0.60 months and median 7-months. The expressions of all three markers showed significant association with time of recurrence. On comparing, Student’s t test showed significant and early recurrence time in patients with strong positive Cyclin D1 (10.37 ± 0.88 vs. 6.54 ± 0.63, P = 0.001) and EGFR (11.32 ± 1.19 vs. 7.19 ± 0.56, P = 0.001) expressions as compared to respective positive expressions. Further, ANOVA followed by Tukey post hoc test also showed significant and early mean recurrence time in patients with p53 positive (19.25 ± 0.85 vs. 12.67 ± 0.88, P = 0.028) and strong positive (19.25 ± 0.85 vs. 7.47 ± 0.48, P < 0.001) expressions as compared to negative expression. Moreover, the mean recurrence time was also found earlier in patients with p53 strong positive expression as compared to positive expression (12.67 ± 0.88 vs. 7.47 ± 0.48, P = 0.025).
Table 6
Correlation between marker expression and time of recurrence (month) of OSCC patients (n = 56).
Marker expression
n
Mean ± SE
t/F value
P value
Cyclin D1
Negative
0
–
Positive
30
10.37 ± 0.88
3.46
0.001
Strong positive
26
6.54 ± 0.62
EGFR
Negative
0
–
Positive
19
11.32 ± 1.19
3.58
0.001
Strong positive
37
7.19 ± 0.56
p53
Negative
4
19.25 ± 0.85
26.90
<0.001
Positive
3
12.67 ± 0.88
Strong positive
49
7.47 ± 0.48
Bold values are highly significant.
Prognosis of markers
The follow up (survival) duration of patients ranged from 1–24 month with mean (± SE) 10.84 ± 0.39 months and median 9-months. During the period, 210 (72.4%) patients were alive, 32 (11.0%) lost to follow-up (LTF) and 48 (16.6%) died due to disease accounting total 242 (83.4%) patients live (alive + LTF). Further, at final evaluation, 128 (44.1%) patients were disease free (i.e. CR) and 234 (80.7%) were recurrence free.To find out prognosis of markers, the associations of markers expressions with overall survival (OS), disease free survival (DFS) and recurrence free survival (RFS) were done using Kaplan-Meier method followed by Log rank test and summarized in Table 7, Table 8, Table 9 respectively and Fig. 2, Fig. 3, Fig. 4 respectively. The Cyclin D1, EGFR and p53 expressions showed significant (P < 0.001) associations with OS, DFS and RFS and showed poor OS, DFS and RFS survivals in patients with positive/strong positive expressions than negative expression.
Table 7
Association of marker expression with overall survival of OSCC patients using Kaplan-Meier survival analysis (n = 290).
Marker expression
n
Mean
Median
χ2 value
P value
Estimate
SE
95% CI
Estimate
SE
95% CI
Cyclin D1
Negative
31
13.87
1.40
11.12–16.62
15.00
3.96
7.24–22.76
49.80
<0.001
Positive
197
11.86
0.46
10.95–12.77
9.00
0.41
8.19–9.81
Strong positive
62
6.10
0.50
5.12–7.08
6.00
1.03
3.99–8.01
EGFR
Negative
13
14.69
2.15
10.47–18.91
18.00
2.50
13.11–22.89
59.95
<0.001
Positive
135
13.82
0.60
12.64–15.00
12.00
2.05
7.98–16.02
Strong positive
142
7.66
0.38
6.92–8.41
8.00
0.37
7.27–8.73
p53
Negative
35
17.49
1.15
15.24–19.74
19.00
0.98
17.08–20.93
84.84
<0.001
Positive
46
17.37
0.89
15.62–19.12
18.00
0.68
16.67–19.33
Strong positive
209
8.30
0.34
7.64–8.96
7.00
0.31
6.40–7.60
Bold values are highly significant.
Table 8
Association of marker expression with disease free survival of OSCC patients using Kaplan-Meier survival analysis (n = 128).
Marker expression
n
Mean
Median
χ2 value
P value
Estimate
SE
95% CI
Estimate
SE
95% CI
Cyclin D1
Negative
18
18.94
1.45
16.10–21.79
21.00
0.69
19.65–22.35
68.00
<0.001
Positive
84
17.64
0.62
16.43–18.86
18.00
0.42
17.19–18.81
Strong positive
26
9.96
0.37
9.23–10.70
10.00
0.63
8.77–11.23
EGFR
Negative
11
16.55
2.06
12.52–20.57
18.00
1.06
15.92–20.09
29.50
<0.001
Positive
80
18.24
0.63
17.01–19.46
19.00
0.56
17.91–20.09
Strong positive
37
11.92
0.77
10.40–13.44
11.00
0.53
9.97–12.04
p53
Negative
33
18.30
1.05
16.24–20.37
19.00
0.96
17.12–20.88
19.69
<0.001
Positive
39
18.77
0.84
17.11–20.42
19.00
0.94
17.17–20.84
Strong positive
56
13.32
0.73
11.89–14.76
11.00
0.62
9.78–12.22
Bold values are highly significant.
Table 9
Association of marker expression with recurrence free survival of OSCC patients using Kaplan-Meier survival analysis (n = 234).
Marker expression
n
Mean
Median
χ2 value
P value
Estimate
SE
95% CI
Estimate
SE
95% CI
Cyclin D1
Negative
31
13.87
1.40
11.12–16.62
15.00
3.96
7.24–22.76
124.84
<0.001
Positive
167
11.05
0.49
10.09–12.02
8.00
0.37
7.28–8.72
Strong positive
36
3.31
0.38
2.56–4.05
3.00
0.22
2.58–3.43
EGFR
Negative
13
14.69
2.15
10.47–18.91
18.00
2.50
13.11–22.89
77.04
<0.001
Positive
116
13.42
0.66
12.12–14.72
10.00
1.61
6.84–13.16
Strong positive
105
6.16
0.33
5.52–6.81
6.00
0.32
5.38–6.63
p53
Negative
31
17.58
1.26
15.11–20.05
19.00
1.11
16.82–21.18
106.33
<0.001
Positive
43
17.21
0.95
15.35–19.07
18.00
0.73
16.57–19.43
Strong positive
160
6.94
0.30
6.34–7.53
7.00
0.20
6.61–7.39
Bold values are highly significant.
Fig. 2
Overall survival according to marker expressions were compared by Kaplan-Meier method followed by Log rank (Mantel-Cox: χ2) test. Marker expressions showed significant association with overall survival in OSCC patients (Cyclin D1: χ2 = 49.80, df = 2, P<0.001, EGFR: χ2 = 59.95, df = 2, P < 0.001, and p53: χ2 = 84.84, df = 2, P < 0.001).
Fig. 3
Disease free survival according to marker expressions were compared by Kaplan-Meier method followed by Log rank (Mantel-Cox: χ2) test. Marker expressions showed significant association with overall survival in OSCC patients (Cyclin D1: χ2 = 68.00, df = 2, P < 0.001, EGFR: χ2 = 29.50, df = 2, P < 0.001, and p53: χ2 = 19.69, df = 2, P < 0.001).
Fig. 4
Recurrence free survival according to marker expressions were compared by Kaplan-Meier method followed by Log rank (Mantel-Cox: χ2) test. Marker expressions showed significant association with overall survival in OSCC patients (Cyclin D1: χ2 = 124.84, df = 2, P < 0.001, EGFR: χ2 = 77.04, df = 2, P < 0.001, and p53: χ2 = 106.33, df = 2, P < 0.001).
Predictors of overall survival
To find out independent predictors of overall survival, univariate (unadjusted) and multivariate (adjusted) Cox regression analysis was done between survival (survival duration and event) and clinico-pathological characteristics and markers expressions and summarized in Table 10. The univariate Cox regression analysis showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of overall survival with performance status, primary site, histological grade, tumor size, node status, stage, radiological response and marker expressions (Cyclin D1, EGFR and p53) suggesting these as predictors of overall survival. The multivariate Cox regression analysis further showed significant (P < 0.05 or P < 0.001) association of overall survival with primary site, radiological response and p53 expression indicating these as significant and an independent predictors of overall survival in OSCC patients.
Table 10
Predictors of overall survival of OSCC patients using Cox-regression analysis (n = 290).
Predictors
Univariate
Multivariate
OR (95% CI)
P value
OR (95% CI)
P value
Age (yrs)
≤60
Ref
Ref
>60
1.22 (0.94–1.60)
0.142
1.01 (0.74–1.36)
0.972
Sex
Female
Ref
Ref
Male
0.96 (0.72–1.28)
0.793
1.09 (0.75–1.60)
0.657
Economic status
Upper/Middle
Ref
Ref
Poor
0.91 (0.72–1.15)
0.409
1.19 (0.92–1.54)
0.194
Tobacco chewing
No
Ref
Ref
Yes
1.26 (0.99–1.61)
0.065
0.92 (0.59–1.43)
0.701
Betel nut chewing
No
Ref
Ref
Yes
1.24 (0.97–1.57)
0.085
1.22 (0.75–1.97)
0.426
Smoking
No
Ref
Ref
Yes
0.96 (0.76–1.21)
0.724
0.93 (0.65–1.32)
0.668
Performance status
Good
Ref
Ref
Poor
0.75 (0.60–0.95)
0.017
0.87 (0.67–1.12)
0.273
Primary site
Buccal mucosa
Ref
Ref
Other
1.59 (1.23–2.04)
<0.001
1.33 (1.01–1.75)
0.044
Histology
SCC
Ref
Ref
ISCC
0.82 (0.64–1.05)
0.123
0.90 (0.69–1.17)
0.437
Grade
WD
Ref
Ref
MD/PD
0.62 (0.48–0.80)
<0.001
1.15 (0.82–1.62)
0.415
Tumor size
T2/T3
Ref
Ref
T4
0.75 (0.57–0.98)
0.037
0.67 (0.31–1.43)
0.300
Node status
N0
Ref
Ref
N1/N2
0.62 (0.48–0.80)
<0.001
0.94 (0.69–1.29)
0.717
Stage
III
Ref
Ref
IV
0.68 (0.51–0.90)
0.007
1.48 (0.66–3.32)
0.340
Response
CR/PR
Ref
Ref
NR
0.02 (0.01–0.04)
<0.001
0.03 (0.01–0.07)
<0.001
Cyclin D1
Negative
Ref
Ref
Positive
0.31 (0.20–0.49)
<0.001
0.93 (0.49–1.76)
0.819
Strong positive
0.40 (0.29–0.54)
<0.001
0.86 (0.54–1.38)
0.536
EGFR
Negative
Ref
Ref
Positive
0.40 (0.22–0.70)
0.002
0.96 (0.49–1.87)
0.894
Strong positive
0.43 (0.33–0.55)
<0.001
0.86 (0.61–1.21)
0.384
p53
Negative
Ref
Ref
Positive
0.32 (0.22–0.46)
<0.001
0.36 (0.21–0.60)
<0.001
Strong positive
0.34 (0.25–0.48)
<0.001
0.39 (0.25–0.61)
<0.001
Bold values are highly significant.
Predictors of recurrence
The association of recurrence with clinico-pathological characteristics and marker expressions was done using univariate (unadjusted) and multivariate (adjusted) logistic regression analysis and summarized in Table 11. The univariate logistic regression analysis showed significant association (P < 0.05 or P < 0.01 or P < 0.001) of primary site, differentiation, node status, response and marker expressions (Cyclin D1, EGFR and p53) with the recurrence. The multivariate logistic regression analysis further showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of recurrence with primary site, differentiation, Cyclin D1 and p53 expressions indicating these significant and an independent risk predictors of recurrence in OSCC patients. Further, the univariate Cox regression analysis showed significant (P < 0.05 or P < 0.01 or P < 0.001) association of recurrence with economic status, histology, histological grade, tumor size, node status, stage and marker expressions (Cyclin D1, EGFR and p53) suggesting these as predictors of recurrence (Table 12). The multivariate Cox regression analysis further showed significant (P < 0.05 or P < 0.01) association of recurrence with node status, Cyclin D1 and p53 expressions indicating these as significant and an independent predictors of recurrence in OSCC patients undergoing chemoradiation (Table 12).
Table 11
Association of recurrence with clinico-pathological characteristics in OSCC patients using logistic regression analysis (n = 290).
Predictors
Recurrence
Univariate
Multivariate
No(n = 234) (%)
Yes(n = 56) (%)
OR (95% CI)
P value
OR (95% CI)
P value
Age (yrs)
≤60
176 (75.2)
44 (78.6)
Ref
Ref
>60
58 (24.8)
12 (21.4)
1.21 (0.60–2.44)
0.598
0.95 (0.40–2.25)
0.899
Sex
Female
45 (19.2)
14 (25.0)
Ref
Ref
Male
189 (80.8)
42 (75.0)
1.40 (0.71–2.78)
0.337
2.18 (0.68–7.02)
0.191
Economic status
Upper/Middle
97 (41.5)
21 (37.5)
Ref
Ref
Poor
137 (58.5)
35 (62.5)
0.85 (0.47–1.55)
0.589
0.59 (0.28–1.23)
0.159
Tobacco chewing
No
76 (32.5)
22 (39.3)
Ref
Ref
Yes
158 (67.5)
34 (60.7)
1.35 (0.74–2.46)
0.334
0.66 (0.10–4.44)
0.673
Betel nut chewing
No
85 (36.3)
24 (42.9)
Ref
Ref
Yes
149 (63.7)
32 (57.1)
1.32 (0.73–2.38)
0.365
1.26 (0.18–8.94)
0.817
Smoking
No
101 (43.2)
27 (48.2)
Ref
Ref
Yes
133 (56.8)
29 (51.8)
1.23 (0.68–2.20)
0.494
1.29 (0.46–3.62)
0.629
Performance status
Good
136 (58.1)
29 (51.8)
Ref
Ref
Poor
98 (41.9)
27 (48.2)
0.77 (0.43–1.39)
0.391
1.51 (0.74–3.11)
0.262
Primary site
Buccal mucosa
83 (35.5)
10 (17.9)
Ref
Ref
Other
151 (64.5)
46 (82.1)
0.40 (0.19–0.82)
0.013
0.21 (0.09–0.54)
0.001
Histology
SCC
84 (35.9)
18 (32.1)
Ref
Ref
ISCC
150 (64.1)
38 (67.9)
0.85 (0.45–1.57)
0.597
1.31 (0.58–2.95)
0.523
Grade
WD
178 (76.1)
17 (30.4)
Ref
Ref
MD/PD
56 (23.9)
39 (69.6)
0.14 (0.07–0.26)
<0.001
0.15 (0.06–0.37)
<0.001
Tumor size
T2/T3
61 (26.1)
10 (17.9)
Ref
Ref
T4
173 (73.9)
46 (82.1)
0.62 (0.29–1.30)
0.202
3.01 (0.38–24.08)
0.300
Node status
N0
83 (35.5)
6 (10.7)
Ref
Ref
N1/N2
151 (64.5)
50 (89.3)
0.22 (0.09–0.53)
0.001
0.47 (0.17–1.32)
0.152
Stage
III
55 (23.5)
7 (12.5)
Ref
Ref
IV
179 (76.5)
49 (87.5)
0.47 (0.20–1.09)
0.077
0.30 (0.03–2.72)
0.287
Cyclin D1 expression
Negative
31 (13.2)
0 (0.0)
Ref
Ref
Positive
167 (71.4)
30 (53.6)
NA
–
NA
–
Strong positive
36 (15.4)
26 (46.4)
0.25 (0.13–0.47)
<0.001
0.34 (0.26–1.57)
0.033
EGFR expression
Negative
13 (5.6)
0 (0.0)
Ref
Ref
Positive
116 (49.6)
19 (33.9)
NA
–
NA
–
Strong positive
105 (44.9)
37 (66.1)
0.47 (0.25–0.86)
0.014
0.76 (0.30–1.94)
0.567
p53 expression
Negative
31 (13.2)
4 (7.1)
Ref
Ref
Positive
43 (18.4)
3 (5.4)
0.42 (0.14–1.25)
0.120
1.89 (0.39–9.20)
0.430
Strong positive
160 (68.4)
49 (87.5)
0.23 (0.07–0.77)
0.007
0.29 (0.15–3.71)
0.019
NA: not applicable.
Bold values are highly significant.
Table 12
Predictors of recurrence of OSCC patients using Cox regression analysis (n = 56).
Predictors
Univariate
Multivariate
OR (95% CI)
P value
OR (95% CI)
P value
Age (yrs)
≤60
Ref
Ref
>60
1.01 (0.53–1.95)
0.968
0.95 (0.44–2.05)
0.903
Sex
Female
Ref
Ref
Male
0.65 (0.33–1.27)
0.204
0.82 (0.24–2.82)
0.758
Economic status
Upper/Middle
Ref
Ref
Poor
1.65 (0.94–2.88)
0.040
1.59 (0.71–3.57)
0.263
Tobacco chewing
No
Ref
Ref
Yes
0.82 (0.46–1.45)
0.488
1.11 (0.18–6.92)
0.912
Betel nut chewing
No
Ref
Ref
Yes
0.75 (0.43–1.31)
0.309
0.98 (0.13–7.59)
0.984
Smoking
No
Ref
Ref
Yes
0.74 (0.42–1.29)
0.287
1.15 (0.42–3.18)
0.787
Performance status
Good
Ref
Ref
Poor
0.66 (0.38–1.14)
0.131
0.86 (0.39–1.89)
0.705
Primary site
Buccal mucosa
Ref
Ref
Other
1.29 (0.64–2.59)
0.475
0.83 (0.33–2.07)
0.689
Histology
SCC
Ref
Ref
ISCC
0.53 (0.29–0.95)
0.033
0.54 (0.23–1.27)
0.159
Grade
WD
Ref
Ref
MD/PD
0.43 (0.23–0.81)
0.009
1.61 (0.54–4.83)
0.392
Tumor size
T2/T3
Ref
Ref
T4
0.42 (0.19–0.94)
0.035
1.18 (0.25–5.61)
0.836
Node status
N0
Ref
Ref
N1/N2
0.16 (0.05–1.09)
<0.001
0.06 (0.02–3.67)
0.003
Stage:
III
Ref
Ref
IV
0.24 (0.09–0.68)
0.007
1.27 (0.14–11.62)
0.835
Cyclin D1 expression
Negative/Positive
Ref
Ref
Strong positive
0.41 (0.23–0.73)
0.002
0.34 (0.12–0.99)
0.048
EGFR expression
Negative/Positive
Ref
Ref
Strong positive
0.42 (0.23–0.77)
0.005
1.31 (0.50–3.45)
0.586
p53 expression
Negative/Positive
Ref
Ref
Strong positive
0.16 (0.06–0.47)
0.001
0.09 (0.02–0.49)
0.006
Bold values are highly significant.
Survival of recurrent patients
The time to recurrence survival of recurrent patients according to site and type of recurrence were also evaluated and summarized in Table 13 and Fig. 5. There was no significant difference in the median survival in patients according to site of recurrence (χ2 = 7.69, P = 0.104). In contrast, the median survival in patients with distant recurrence was found significantly lower as compared to locoregional (χ2 = 4.86, P = 0.027).
Table 13
Time to recurrence survival of OSCC patients according to site and type of recurrence using Kaplan-Meier survival analysis (n = 234).
Survival-Recurrent patients
n
Mean
Median
χ2 value
p value
Estimate
SE
95% CI
Estimate
SE
95% CI
Site of recurrence
Bone
3
7.33
0.67
6.03–8.64
8.00
0.00
NA
7.69
0.104
Brain
1
6.00
0.00
6.00–6.00
6.00
NA
NA
Lung
5
5.20
1.07
3.11–7.29
5.00
1.10
2.85–7.15
Nodal
31
8.58
0.76
7.09–10.07
7.00
0.80
5.44–8.56
Primary
16
10.06
1.38
7.36–12.77
7.00
6.00
0.00–18.76
Type of recurrence
Locoregional
47
9.09
0.69
7.74–10.43
7.00
0.86
5.32–8.68
4.86
0.027
Distant
9
6.00
0.69
4.65–7.35
6.00
0.75
4.54–7.46
NA: not applicable.
Bold values are highly significant.
Fig. 5
Time to recurrence survival according to site and type of recurrence were compared by Kaplan-Meier method followed by Log rank (Mantel-Cox: χ2) test. Site (χ2 = 7.69, df = 4, P = 0.104) showed insignificant association while type of recurrence (χ2 = 4.86, df = 1, P = 0.027) showed significant association with time to recurrence survival in OSCC patients undergoing chemoradiation.
Discussion
Squamous cell carcinoma is by far the most common cancer type of the oral cavity, representing more than 90% of all oral cancer [22]. The overall survival rates have not improved for more than decades even in major treatment centers inspite of all possible definitive treatment approaches; dreadful and alarming event of locoregional relapse is customary and elucidates for major cause of morbidity and mortality in these patients. This has engendered and entrenched notion to identify molecular biomarkers that accurately predict patients at risk for disease recurrence and treatment resistance. Furthermore identification of biomarkers that would signal increased risk of treatment failure in OSCC would have a major impact on treatment decisions and its outcome [23]. Despite of tremendous search for prognostic markers, no single molecular study till date has been shown to identify and focus at high risk for recurrences which is the most distressing component of treatment failure in the patients of OSCC [12]. OSCC pathogenesis is a complex process and thought to arise as a result of multiple molecular events developing from the combined effect of an individual’s genetic predisposition and exposure to environmental carcinogens. These genetic alterations includes mutations or amplification of oncogenes as well as inactivation of tumor suppressor genes evident by expression of various molecular markers, leading to tumorogenesis which acquire self sufficient unexceptional growth and escape growth inhibitory signals, making the cells immortal resulting in uncontrolled tumor growth [23]. Over a period of time and with further exposure to carcinogens, the cancer cells accumulate further mutations and acquire more evil characteristics such as ability to invade and move into adjoining tissues, progress to lymphatics and blood vessels, tumor angiogenesis and may reside and grow to distant sites [24].While on conventional treatment regimen or in the post treatment follow up period some cancer cells due to genetic instability may acquire further mutations and become resistant or refractory to the treatment delivered, leading to progression or recurrence of cancer [24, 25]. Moreover cytotoxic treatment regimen which itself is immunosuppressive and generates of lot of stress from cradle to grave might also enhance the odds of risk of tumor recurrence due to ineffective immunosuppressive treatment which is only enabling the immune system of the body to identify and destroy the newly formed tumor cells, when they are few in number [26]. Hence high mortality rate due to treatment resistance, tumor recurrence and aggressive disease course are the considerable frightening challenges mainly in the storyline of scarcity of resources available with the patients. So at a very critical moment molecular markers had actually mesmerized into conclusion of having significant role in prognosis, prediction of disease course and selection of treatment regimen. Although many molecular markers and tumor markers have been studied and have revolutionized the pathogenesis of head and neck squamous cell carcinoma (HNSCC) still they are not yet ready to be used in routine clinical, investigative and therapeutic procedures in patients with these tumors. Preponderantly tumor stage, patient’s age and performance status still remains the basis for therapeutic decisions [22, 23, 27, 28]. These all have attributed to the urge of advancement and innovations in research approaches of molecular biology, genomics and proteomics with a tremendous hope at the end of tunnel [28]. Improvement and development of research procedures would assist to understand more specific and sensitive markers aiding in tumor diagnosis, selection of treatment modality, monitoring of response to therapeutic interventions, early detection of tumor recurrence, prediction of the treatment outcome and identification of subsets of patients with unfavorable outcome during the therapeutic interventions and follow-up period, thereby facilitating to achieve beneficial outcome in terms of response and survival in the patients with these tumors.The current study has hence being proposed to evaluate expressions and correlation of Cyclin D1, EGFR and p53 with stratification of recurrences in oral cancerpatients. Plethora of studies suggesting prognostics of expression of Cyclin D1, EGFR and p53 have been documented in malignancies of head and neck, breast, lung, colorectal, bladder and Gastrointestinal tract, however there has been limited convincing studies on evaluation of risk and pattern of recurrences in oral cancer, wherein timeline evaluation, stratification of the risk and pattern of recurrence is warranted to achieve the substantial and sustainable benefit of delivered treatment [29, 30]. Although some of the studies have documented that p53 mutation can estimates disease prognosis more accurately than clinical staging in HNSCC, and could stratify patients according to their risk of locoregional recurrence but have not reached to a significant conclusion [22, 29]. A prospective study in Chinese patient with laryngeal squamous cell carcinoma concluded that p53, p21 and Cdc2 may be involved in the occurrence, development and recurrence of tumor. It also suggested that combined detection of these three proteins might be a useful parameter for screening patients at high risk of recurrence which is worthy of further molecular studies [28]. In our study also we found that patients with strong positive p53 expression were associated with early recurrence as compared to moderately positive or negative expression. Some more studies have documented that overexpression of p53 is a potential marker for recurrence of tumor although been proved in various other types of malignancies. In ER-positive breast cancer, p53 accumulation was found to be a strong predictor of both early and late recurrence [31]. Studies have suggested association of p53 overexpression with high risk for disease recurrence and poor survival in colorectal carcinoma and urothelal cancer [32, 33]. p53 overexpression, has also been found to be a good prognostic marker to predict the risk of local recurrence and distant metastasis in bone tumor [23, 32, 34]. p53 gene mutation frequently occurs in recurrent ovarian cancer and influences salvage chemotherapy thereby impacting upon the prognosis of recurrent disease [35]. Studies have cited correlation of EGFR expression with recurrence in rectal and penile cancer but with a limitation of long survival period [36, 37]. In advanced head and neck cancer studies have suggested EGFR as robust predictor of local relapse but failed to predict correlation with distant metastasis [11]. In the present study we have observed that overexpression of EGFR was related to early recurrence and to a greater extent to distant sites in OSCC patients treated by chemoradiation. Therefore understanding of EGFR expression has a significant implication and can contribute to the identification of patients with an increased risk of recurrences and in targeting treatment for better outcome. Cyclin D1 genetic alteration was found to be an early event in the carcinogenesis of transitional cell carcinoma of bladder and resulted in the rapid recurrence of a subset of superficial bladder cancer [38]. In esophageal squamous cell carcinoma, there was increased early recurrence of disease in Cyclin D1 overexpressed patients [39]. Furthermore, Cyclin D1 overexpression has also been found to be associated with tumor aggression, reduced survival and tumor recurrence in HNSCC although mostly studied in different anatomical sites [12]. In nasopharyngeal carcinoma, early local recurrence rate were significantly higher in patients with high levels of Cyclin D1 evaluated before initiation of radiation therapy when compared with patients with low or no expression [40]. In fact there are very few convincing studies documented correlating Cyclin D1 expression with the pattern of recurrence in oral cancerpatients [41]. In our study we speculated that patients with overexpression of Cyclin D1 were significantly associated with increased recurrence. Patients with higher expression had more propensities to recur in distant sites along with early time to recurrence as compared to positive/negative expression.Therefore in view of immense bulk of oral cancerpatients in productive years of life and excessively with greater tendency to recur, it would be beneficial to evaluate correlation of these markers with risk and pattern of recurrence so as to select the patients and customize the therapeutic intervention to maximize its benefit in oral cancer. Here we conclude that over expression of Cyclin D1, EGFR and p53 are associated with tumor recurrence, reduced time to recurrence at primary and distant sites. As evident in our study tumors over expressing Cyclin D1, EGFR and p53 are resistant to chemoradiation and expression of these markers might be an indicator of the risk of locoregional recurrence and metastasis in patients of OSCC treated by chemoradiation. Hence, comprehensive and collaborative interpretation of expression of Cyclin D1, EGFR and p53 would contribute to the identification of patients at increased risk of tumor recurrence and further these patients might be benefited from more intensive and targeted treatment regimen. The findings of the present study may be further validated on larger sample size, co expressions of the markers and by evaluation and exploration of respective gene locus and genetic stability which was the limitation of the study.
Declarations
Author contribution statement
Seema Gupta: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.Vandana Singh Kushwaha: Performed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data.Sandeep Verma: Conceived and designed the experiments; Performed the experiments; Contributed reagents, materials, analysis tools or data; Wrote the paper.Huma Khan: Contributed reagents, materials, analysis tools or data.M.L.B. Bhatt: Performed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.Nuzhat Husain: Conceived and designed the experiments; Contributed reagents, materials, analysis tools or data.Mahendra Pal Singh Negi: Analyzed and interpreted the data.Vivek Vidyadhar Bhosale: Conceived and designed the experiments; Performed the experiments; Wrote the paper.Ashim Ghatak: Conceived and designed the experiments; Performed the experiments.
Competing interest statement
The authors declare no conflict of interest.
Funding statement
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Additional information
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