Literature DB >> 27981249

Understanding molecular markers in recurrent oral squamous cell carcinoma treated with chemoradiation.

Seema Gupta1, Vandana Singh Kushwaha1, Sandeep Verma1, Huma Khan1, M L B Bhatt1, Nuzhat Husain2, Mahendra Pal Singh Negi3, Vivek Vidyadhar Bhosale3, Ashim Ghatak3.   

Abstract

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.

Entities:  

Keywords:  Cancer Research; Medicine; Oncology

Year:  2016        PMID: 27981249      PMCID: PMC5148783          DOI: 10.1016/j.heliyon.2016.e00206

Source DB:  PubMed          Journal:  Heliyon        ISSN: 2405-8440


Introduction

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 EGFR tumors 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 size t = confidence level of t statistic at 95%, standard value = 1.96 p = 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.

Variables(n = 290) (%)
Age (yrs)
 ≤60220 (75.9)
 >6070 (24.1)



Sex
 Female59 (20.3)
 Male231 (79.7)



Economic status
 Upper7 (2.4)
 Middle111 (38.3)
 Poor172 (59.3)



Tobacco chewing
 No98 (33.8)
 Yes192 (66.2)



Betel nut chewing
 No109 (37.6)
 Yes181 (62.4)



Smoking
 No128 (44.1)
 Yes162 (55.9)



Performance status
 Good165 (56.9)
 Poor125 (43.1)



Primary site
 Buccal mucosa93 (32.1)
 Alveolus45 (15.5)
 Hard palate38 (13.1)
 Lip27 (9.3)
 RMT39 (13.4)
 Tongue48 (16.6)



Histology
 SCC102 (35.2)
 ISCC188 (64.8)



Grade
 WD195 (67.2)
 MD77 (26.6)
 PD18 (6.2)



Tumor size
 T26 (2.1)
 T365 (22.4)
 T4219 (75.5)



Node status
 N089 (30.7)
 N196 (33.1)
 N2105 (36.2)



Stage
 III62 (21.4)
 IV228 (78.6)



Response
 CR128 (44.1)
 PR135 (46.6)
 NR27 (9.3)

SCC: squamous cell carcinoma, ISCC: invasive squamous cell carcinoma, WD: well differentiated, MD: moderately differentiated, PD: poorly differentiated, CR: complete response, PR: partial response, NR: no response.

Marker expressions

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
 Negative31 (10.7)
 Positive197 (67.9)
 Strong positive62 (21.4)



EGFR
 Negative13 (4.5)
 Positive135 (46.6)
 Strong positive142 (49.0)



p53
 Negative35 (12.1)
 Positive46 (15.9)
 Strong positive209 (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).

Variablesn(%)Cyclin D1 expression
EGFR expression
p53 expression
NegativePositiveStrong positiveP valueNegativePositiveStrong positiveP valueNegativePositiveStrong positiveP value
Age (yrs)
 ≤6022025 (11.4)142 (64.5)53 (24.1)0.08012 (5.5)96 (43.6)112 (50.9)0.11730 (13.6)27 (12.3)163 (74.1)0.008
 >60706 (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
 Female598 (13.6)45 (76.3)6 (10.2)0.0585 (8.5)30 (50.8)24 (40.7)0.13810 (16.9)10 (16.9)39 (66.1)0.390
 Male23123 (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/Middle11812 (10.2)79 (66.9)27 (22.9)0.8661 (0.8)63 (53.4)54 (45.8)0.01615 (12.7)19 (16.1)84 (71.2)0.953
 Poor17219 (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
 No987 (7.1)66 (67.3)25 (25.5)0.2317 (7.1)37 (37.8)54 (55.1)0.0519 (9.2)10 (10.2)79 (80.6)0.064
 Yes19224 (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
 No10911 (10.1)73 (67.0)25 (22.9)0.8697 (6.4)43 (39.4)59 (54.1)0.11612 (11.0)14 (12.8)83 (76.1)0.457
 Yes18120 (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
 No12813 (10.2)95 (74.2)20 (15.6)0.0847 (5.5)58 (45.3)63 (49.2)0.75021 (16.4)16 (12.5)91 (71.1)0.073
 Yes16218 (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
 Good16521 (12.7)117 (70.9)27 (16.4)0.0398 (4.8)86 (52.1)71 (43.0)0.06726 (15.8)29 (17.6)110 (66.7)0.037
 Poor12510 (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 mucosa938 (8.6)67 (72.0)18 (19.4)0.5605 (5.4)34 (36.6)54 (58.1)0.0643 (3.2)8 (8.6)82 (88.2)<0.001
 Other19723 (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
 SCC1026 (5.9)76 (74.5)20 (19.6)0.0992 (2.0)53 (52.0)47 (46.1)0.17513 (12.7)20 (19.6)69 (67.6)0.391
 ISCC18825 (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
 WD19531 (15.9)149 (76.4)15 (7.7)<0.00113 (6.7)106 (54.4)76 (39.0)<0.00134 (17.4)46 (23.6)115 (59.0)<0.001
 MD/PD950 (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/T37114 (19.7)48 (67.6)9 (12.7)0.0054 (5.6)41 (57.7)26 (36.6)0.05717 (23.9)19 (26.8)35 (49.3)<0.001
 T421917 (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
 N08916 (18.0)69 (77.5)4 (4.5)<0.0018 (9.0)58 (65.2)23 (25.8)<0.00118 (20.2)25 (28.1)46 (51.7)<0.001
 N1/N220115 (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
 III6214 (22.6)45 (72.6)3 (4.8)<0.0014 (6.5)39 (62.9)19 (30.6)0.00517 (27.4)19 (30.6)26 (41.9)<0.001
 IV22817 (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/PR26331 (11.8)197 (74.9)25 (13.3)<0.00113 (4.9)135 (51.3)115 (43.7)<0.00135 (13.3)46 (17.5)182 (69.2)0.003
 NR270 (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).

VariablesCyclin D1 expression
EGFR expression
p53 expression
OR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P value
Age (yrs)
 ≤60RefRefRef
 >601.09 (0.30–3.99)0.9021.03 (0.54–1.97)0.9280.16 (0.48–2.34)0.014



Sex
 FemaleRefRefRef
 Male0.27 (0.04–1.73)0.1680.59 (0.25–1.40)0.2341.24 (0.38–4.01)0.718



Economic status
 Upper/MiddleRefRefRef
 Poor1.09 (0.34–3.45)0.8870.98 (0.55–1.74)0.9321.57 (0.73–3.35)0.247



Tobacco chewing
 NoRefRefRef
 Yes4.96 (0.91–22.84)0.0391.22 (0.40–3.72)0.7248.92 (2.32–34.28)0.001



Betel nut chewing
 NoRefRefRef
 Yes0.03 (0.00–1.51)0.0780.97 (0.31–3.04)0.9550.21 (0.05–0.86)0.031



Smoking
 NoRefRefRef
 Yes3.00 (0.57–15.82)0.1951.59 (0.73–3.48)0.2431.47 (0.54–3.74)0.470



PS
 GoodRefRefRef
 Poor0.94 (0.31–2.82)0.9120.70 (0.40–1.23)0.2170.70 (0.32–1.50)0.355



Primary site
 Buccal mucosaRefRefRef
 Other0.34 (0.09–1.34)0.1221.57 (0.88–2.80)0.1264.96 (1.90–13.04)0.001



Histology
 SCCRefRefRef
 ISCC2.82 (0.67–11.95)0.1590.88 (0.48–1.61)0.6751.09 (0.51–2.31)0.833



Grade
 WDRefRefRef
 MD/PD0.02 (0.00–0.15)<0.0010.42 (0.22–0.81)0.0090.03 (0.00–0.24)0.001



Tumor size
 T2/T3RefRefRef
 T43.50 (0.69–17.41)0.0431.37 (0.22–8.62)0.7354.84 (0.69–12.17)0.046



Node status
 N0RefRefRef
 N1/N20.29 (0.04–1.93)0.0200.33 (0.17–0.64)0.0010.31 (0.14–0.69)0.004



Stage
 IIIRef0.031Ref0.275Ref0.040
 IV0.01 (0.00–0.87)0.35 (0.05–2.30)0.02 (0.00–0.25)



Response
 CR/PRRefRefRef
 NRNANANA

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.

VariablesnCyclin D1 expression
EGFR expression
p53 expression
(%)NegativePositiveStrong positiveP valueNegativePositiveStrong positiveP valueNegativePositiveStrong positiveP value
Recurrence
 No23431 (13.2)167 (71.4)36 (15.4)<0.00113 (5.6)116 (49.6)105 (44.9)0.00831 (13.2)43 (18.4)160 (68.4)0.014
 Yes560 (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
 Bone30 (0.0)0 (0.0)3 (100.0)0.0070 (0.0)0 (0.0)3 (100.0)0.0320 (0.0)0 (0.0)3 (100.0)0.904
 Brain10 (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)
 Lung50 (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)
 Nodal310 (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)
 Primary160 (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
 Locoregional470 (0.0)30 (63.8)17 (36.2)<0.0010 (0.0)19 (40.4)28 (59.6)0.0194 (8.5)3 (6.4)40 (85.1)0.465
 Distant90 (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 expressionnMean ± SEt/F valueP value
Cyclin D1
 Negative0
 Positive3010.37 ± 0.883.460.001
 Strong positive266.54 ± 0.62



EGFR
 Negative0
 Positive1911.32 ± 1.193.580.001
 Strong positive377.19 ± 0.56



p53
 Negative419.25 ± 0.8526.90<0.001
 Positive312.67 ± 0.88
 Strong positive497.47 ± 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 expressionnMean
Median
χ2 valueP value
EstimateSE95% CIEstimateSE95% CI
Cyclin D1
 Negative3113.871.4011.12–16.6215.003.967.24–22.7649.80<0.001
 Positive19711.860.4610.95–12.779.000.418.19–9.81
 Strong positive626.100.505.12–7.086.001.033.99–8.01



EGFR
 Negative1314.692.1510.47–18.9118.002.5013.11–22.8959.95<0.001
 Positive13513.820.6012.64–15.0012.002.057.98–16.02
 Strong positive1427.660.386.92–8.418.000.377.27–8.73



p53
 Negative3517.491.1515.24–19.7419.000.9817.08–20.9384.84<0.001
 Positive4617.370.8915.62–19.1218.000.6816.67–19.33
 Strong positive2098.300.347.64–8.967.000.316.40–7.60

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 expressionnMean
Median
χ2 valueP value
EstimateSE95% CIEstimateSE95% CI
Cyclin D1
 Negative1818.941.4516.10–21.7921.000.6919.65–22.3568.00<0.001
 Positive8417.640.6216.43–18.8618.000.4217.19–18.81
 Strong positive269.960.379.23–10.7010.000.638.77–11.23



EGFR
 Negative1116.552.0612.52–20.5718.001.0615.92–20.0929.50<0.001
 Positive8018.240.6317.01–19.4619.000.5617.91–20.09
 Strong positive3711.920.7710.40–13.4411.000.539.97–12.04



p53
 Negative3318.301.0516.24–20.3719.000.9617.12–20.8819.69<0.001
 Positive3918.770.8417.11–20.4219.000.9417.17–20.84
 Strong positive5613.320.7311.89–14.7611.000.629.78–12.22

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 expressionnMean
Median
χ2 valueP value
EstimateSE95% CIEstimateSE95% CI
Cyclin D1
 Negative3113.871.4011.12–16.6215.003.967.24–22.76124.84<0.001
 Positive16711.050.4910.09–12.028.000.377.28–8.72
 Strong positive363.310.382.56–4.053.000.222.58–3.43



EGFR
 Negative1314.692.1510.47–18.9118.002.5013.11–22.8977.04<0.001
 Positive11613.420.6612.12–14.7210.001.616.84–13.16
 Strong positive1056.160.335.52–6.816.000.325.38–6.63



p53
 Negative3117.581.2615.11–20.0519.001.1116.82–21.18106.33<0.001
 Positive4317.210.9515.35–19.0718.000.7316.57–19.43
 Strong positive1606.940.306.34–7.537.000.206.61–7.39

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).

PredictorsUnivariate
Multivariate
OR (95% CI)P valueOR (95% CI)P value
Age (yrs)
 ≤60RefRef
 >601.22 (0.94–1.60)0.1421.01 (0.74–1.36)0.972



Sex
 FemaleRefRef
 Male0.96 (0.72–1.28)0.7931.09 (0.75–1.60)0.657



Economic status
 Upper/MiddleRefRef
 Poor0.91 (0.72–1.15)0.4091.19 (0.92–1.54)0.194



Tobacco chewing
 NoRefRef
 Yes1.26 (0.99–1.61)0.0650.92 (0.59–1.43)0.701



Betel nut chewing
 NoRefRef
 Yes1.24 (0.97–1.57)0.0851.22 (0.75–1.97)0.426



Smoking
 NoRefRef
 Yes0.96 (0.76–1.21)0.7240.93 (0.65–1.32)0.668



Performance status
 GoodRefRef
 Poor0.75 (0.60–0.95)0.0170.87 (0.67–1.12)0.273



Primary site
 Buccal mucosaRefRef
 Other1.59 (1.23–2.04)<0.0011.33 (1.01–1.75)0.044



Histology
 SCCRefRef
 ISCC0.82 (0.64–1.05)0.1230.90 (0.69–1.17)0.437



Grade
 WDRefRef
 MD/PD0.62 (0.48–0.80)<0.0011.15 (0.82–1.62)0.415



Tumor size
 T2/T3RefRef
 T40.75 (0.57–0.98)0.0370.67 (0.31–1.43)0.300



Node status
 N0RefRef
 N1/N20.62 (0.48–0.80)<0.0010.94 (0.69–1.29)0.717



Stage
 IIIRefRef
 IV0.68 (0.51–0.90)0.0071.48 (0.66–3.32)0.340



Response
 CR/PRRefRef
 NR0.02 (0.01–0.04)<0.0010.03 (0.01–0.07)<0.001



Cyclin D1
 NegativeRefRef
 Positive0.31 (0.20–0.49)<0.0010.93 (0.49–1.76)0.819
 Strong positive0.40 (0.29–0.54)<0.0010.86 (0.54–1.38)0.536



EGFR
 NegativeRefRef
 Positive0.40 (0.22–0.70)0.0020.96 (0.49–1.87)0.894
 Strong positive0.43 (0.33–0.55)<0.0010.86 (0.61–1.21)0.384



p53
 NegativeRefRef
 Positive0.32 (0.22–0.46)<0.0010.36 (0.21–0.60)<0.001
 Strong positive0.34 (0.25–0.48)<0.0010.39 (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).

PredictorsRecurrence
Univariate
Multivariate
No(n = 234) (%)Yes(n = 56) (%)OR (95% CI)P valueOR (95% CI)P value
Age (yrs)
 ≤60176 (75.2)44 (78.6)RefRef
 >6058 (24.8)12 (21.4)1.21 (0.60–2.44)0.5980.95 (0.40–2.25)0.899



Sex
 Female45 (19.2)14 (25.0)RefRef
 Male189 (80.8)42 (75.0)1.40 (0.71–2.78)0.3372.18 (0.68–7.02)0.191



Economic status
 Upper/Middle97 (41.5)21 (37.5)RefRef
 Poor137 (58.5)35 (62.5)0.85 (0.47–1.55)0.5890.59 (0.28–1.23)0.159



Tobacco chewing
 No76 (32.5)22 (39.3)RefRef
 Yes158 (67.5)34 (60.7)1.35 (0.74–2.46)0.3340.66 (0.10–4.44)0.673



Betel nut chewing
 No85 (36.3)24 (42.9)RefRef
 Yes149 (63.7)32 (57.1)1.32 (0.73–2.38)0.3651.26 (0.18–8.94)0.817



Smoking
 No101 (43.2)27 (48.2)RefRef
 Yes133 (56.8)29 (51.8)1.23 (0.68–2.20)0.4941.29 (0.46–3.62)0.629



Performance status
 Good136 (58.1)29 (51.8)RefRef
 Poor98 (41.9)27 (48.2)0.77 (0.43–1.39)0.3911.51 (0.74–3.11)0.262



Primary site
 Buccal mucosa83 (35.5)10 (17.9)RefRef
 Other151 (64.5)46 (82.1)0.40 (0.19–0.82)0.0130.21 (0.09–0.54)0.001



Histology
 SCC84 (35.9)18 (32.1)RefRef
 ISCC150 (64.1)38 (67.9)0.85 (0.45–1.57)0.5971.31 (0.58–2.95)0.523



Grade
 WD178 (76.1)17 (30.4)RefRef
 MD/PD56 (23.9)39 (69.6)0.14 (0.07–0.26)<0.0010.15 (0.06–0.37)<0.001



Tumor size
 T2/T361 (26.1)10 (17.9)RefRef
 T4173 (73.9)46 (82.1)0.62 (0.29–1.30)0.2023.01 (0.38–24.08)0.300



Node status
 N083 (35.5)6 (10.7)RefRef
 N1/N2151 (64.5)50 (89.3)0.22 (0.09–0.53)0.0010.47 (0.17–1.32)0.152



Stage
 III55 (23.5)7 (12.5)RefRef
 IV179 (76.5)49 (87.5)0.47 (0.20–1.09)0.0770.30 (0.03–2.72)0.287



Cyclin D1 expression
 Negative31 (13.2)0 (0.0)RefRef
 Positive167 (71.4)30 (53.6)NANA
 Strong positive36 (15.4)26 (46.4)0.25 (0.13–0.47)<0.0010.34 (0.26–1.57)0.033



EGFR expression
 Negative13 (5.6)0 (0.0)RefRef
 Positive116 (49.6)19 (33.9)NANA
 Strong positive105 (44.9)37 (66.1)0.47 (0.25–0.86)0.0140.76 (0.30–1.94)0.567



p53 expression
 Negative31 (13.2)4 (7.1)RefRef
 Positive43 (18.4)3 (5.4)0.42 (0.14–1.25)0.1201.89 (0.39–9.20)0.430
 Strong positive160 (68.4)49 (87.5)0.23 (0.07–0.77)0.0070.29 (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).

PredictorsUnivariate
Multivariate
OR (95% CI)P valueOR (95% CI)P value
Age (yrs)
 ≤60RefRef
 >601.01 (0.53–1.95)0.9680.95 (0.44–2.05)0.903



Sex
 FemaleRefRef
 Male0.65 (0.33–1.27)0.2040.82 (0.24–2.82)0.758



Economic status
 Upper/MiddleRefRef
 Poor1.65 (0.94–2.88)0.0401.59 (0.71–3.57)0.263



Tobacco chewing
 NoRefRef
 Yes0.82 (0.46–1.45)0.4881.11 (0.18–6.92)0.912



Betel nut chewing
 NoRefRef
 Yes0.75 (0.43–1.31)0.3090.98 (0.13–7.59)0.984



Smoking
 NoRefRef
 Yes0.74 (0.42–1.29)0.2871.15 (0.42–3.18)0.787



Performance status
 GoodRefRef
 Poor0.66 (0.38–1.14)0.1310.86 (0.39–1.89)0.705



Primary site
 Buccal mucosaRefRef
 Other1.29 (0.64–2.59)0.4750.83 (0.33–2.07)0.689



Histology
 SCCRefRef
 ISCC0.53 (0.29–0.95)0.0330.54 (0.23–1.27)0.159



Grade
 WDRefRef
 MD/PD0.43 (0.23–0.81)0.0091.61 (0.54–4.83)0.392



Tumor size
 T2/T3RefRef
 T40.42 (0.19–0.94)0.0351.18 (0.25–5.61)0.836



Node status
 N0RefRef
 N1/N20.16 (0.05–1.09)<0.0010.06 (0.02–3.67)0.003
Stage:
 IIIRefRef
 IV0.24 (0.09–0.68)0.0071.27 (0.14–11.62)0.835



Cyclin D1 expression
 Negative/PositiveRefRef
 Strong positive0.41 (0.23–0.73)0.0020.34 (0.12–0.99)0.048



EGFR expression
 Negative/PositiveRefRef
 Strong positive0.42 (0.23–0.77)0.0051.31 (0.50–3.45)0.586



p53 expression
 Negative/PositiveRefRef
 Strong positive0.16 (0.06–0.47)0.0010.09 (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 patientsnMean
Median
χ2 valuep value
EstimateSE95% CIEstimateSE95% CI
Site of recurrence
Bone37.330.676.03–8.648.000.00NA7.690.104
Brain16.000.006.00–6.006.00NANA
Lung55.201.073.11–7.295.001.102.85–7.15
Nodal318.580.767.09–10.077.000.805.44–8.56
Primary1610.061.387.36–12.777.006.000.00–18.76



Type of recurrence
Locoregional479.090.697.74–10.437.000.865.32–8.684.860.027
Distant96.000.694.65–7.356.000.754.54–7.46

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 cancer patients. 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 cancer patients [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 cancer patients 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

No additional information is available for this paper.
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