JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Community Medicine Section DOI : 10.7860/JCDR/2017/26108.9997
Year : 2017 | Month : Jun | Volume : 11 | Issue : 6 Full Version Page : LC06 - LC09

Buccal Mucosa Carcinoma: A Comparative Relative Risk Analysis between Tobacco and Non Tobacco Users

Ramasamy Padma1, Amitkumar Kalaivani2, Sathish Paulraj3, Sivapatham Sundaresan4

1 Research Scholar, Department of Medical Research, SRM Medical College Hospital and Research Centre, SRM University, Kattankulathur, Tamil Nadu, India.
2 Assistant Professor, Department of Pathology, SRM Medical College Hospital and Research Centre, SRM University, Kattankulathur, Tamil Nadu, India.
3 Research Scholar, Department of Medical Research, SRM Medical College Hospital and Research Centre, SRM University, Kattankulathur, Tamil Nadu, India.
4 Assistant Professor, Department of Medical Research, SRM Medical College Hospital and Research Centre, SRM University, Kattankulathur, Tamil Nadu, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Ramasamy Padma, Research Scholar, Department of Medical Research, SRM Medical College Hospital and Research Centre, SRM University, Kattankulathur – 603 203, Tamil Nadu, India.
E-mail: drpadmaramphd@gmail.com
Abstract

Introduction

In South India, buccal mucosa carcinoma is common cancer due to widespread use of tobacco in different form. Recently, areca nut (non tobacco) chewing habits have increased among young adults resulting in high morbidity and mortality. Thus, there is need to understand role of aetiology and risk of disease.

Aim

To analyse relative risk of tobacco users and non tobacco users in buccal mucosa carcinoma.

Materials and Methods

This prospective comparative study was conducted in Regional Cancer Centre, Kanchipuram, between 2013 and 2016. The subjects were divided as tobacco users and non tobacco users in order to evaluate the Relative Risk (RR) in these groups based on demographic and clinical characteristics by Chi-square analysis and Kaplan-Meier (log-rank test) applied for survival difference. All statistics considered at 95 % CI, p<0.05.

Results

A total of 117 subjects were included in the study which constituted 87 (74.3%) tobacco users and 30 (25.7%) non tobacco users. In the study, demographic characteristics of gender [RR=0.365 (0.150-0.886), p=0.023] and age groups {RR=2.026 (0.905-4.996), p=0.04} showed significant difference in both study groups. Similarly, clinical characteristics of TNM (tumour node and metastasis) stage {RR=1.57 (0.338-3.31), p=0.024}, nodal status {RR=2.014 (0.412-4.454), p=0.017}, Grade of tumour {RR=1.293 (0.581-2.878), p=0.015}, perineural invasion {RR=2.601 (0.806-5.32), p=0.012} and extracapsular invasion {RR=1.627 (0.533-2.824), p=0.045} showed significant association. The estimated overall survival was 50%; tobacco users (44%) showed lower survival than non tobacco users (57%) with significant difference (p=0.042, p<0.05).

Conclusion

The study revealed adverse affect of aetiology on survival and showed lower survival of tobacco users than non tobacco users. Hence, the study concluded that the tobacco consumption in different form is more aggressive than non tobacco consumption.

Keywords

Introduction

Oral cancer is a heterogeneous disease that arises in various subsites of the oral cavity with different risk factors, prevalence and outcomes [1]. In India, oral cancer was one of the leading cancers; where an estimated 83,000 new cases and 46,000 oral cancer related deaths occur yearly [2]. In South India, the most common subsite is buccal mucosa due to frequently keeping tobacco quid against the buccal mucosa at vestibule [3].

Oral mucosal lesions can be due to infection (bacterial, viral, fungal), local trauma and/or irritation (traumatic keratoses, fibroma, burns), systemic diseases (metabolic or immunologic), or related to lifestyle factors such as the usage of tobacco, areca nut, betal quid, or alcohol [4]. Although several factors are related to oral cancer, the primary risk factor is tobacco chewing and smoking habits. Overall, 95% of oral cancer is caused by tobacco consumption [5]. The leading risk habit is betal nut chewing; it is the fourth most commonly used psychoactive substance in the world after caffeine, alcohol and nicotine [6]. Pan masala chewing consists areca nut with slaked lime; catechu and other flavouring agents and alcohol consumption habit has become a part of lifestyle among young adults in many rural and urban areas. Recently, non tobacco habits showed high incidence of oral cancer [7-9].

Despite advances in cancer treatment, the survival rates of oral cancer have not improved substantially [5]. Aetiology is proposed as one of the significant prognostics factor with adverse effect on survival in any form of tobacco (chewing or smoking) as well as non tobacco (pan masala) [10]. Therefore, there is need to understand the risk of aetiology in pathogenesis of the diseases. Hence, the aim of this study was to analyse RR of tobacco and non tobacco users in buccal mucosa carcinoma.

Materials and Methods

This prospective comparative study was carried out in Department of Oral Oncology, Arignar Anna Memorial Regional Cancer Centre and Research Institute, Kanchipuram, Tamil Nadu, between March 2013 and January 2016. The Institutional Ethical Clearance was obtained to conduct the study (Ref No. 24984/2013). A written informed consent was taken from the patients.

A total of 198 buccal mucosa carcinoma subjects were assessed between 2013 and 2014 and finally 117 (59.1%) buccal mucosa carcinoma subjects who had habits of consuming either tobacco or non tobacco were included in the study. Precancerous and multihabitual (tobacco and non tobacco consumption) buccal mucosa carcinoma subjects were excluded from the study.

The subjects were divided as two groups according to the habits; Group-I included smoking and smokeless tobacco and Group II included areca nut, betal quid without tobacco, pan masala and alcohol.

Data collection: A self prepared questionnaire was used to collect the demographic characteristics of age, gender, marital status, Body Mass Index (BMI), occupation, education, income and their habits (tobacco chewing, smoking, pan, areca nut chewing and alcohol) and clinical features like clinical TM stage, nodal and metastasis status and degree of differentiation from medical records.

The subjects were followed-up for every three months, after treatment for three years. The total duration of follow up was two years.

Statistical Analysis

The results were expressed as numbers and percentages. Descriptive statistics were calculated using Chi-square analysis or Fisher’s exact test. Overall survival was calculated as the time from the first date of treatment to the date of death or last known date the patient was alive. The survival rate was estimated by Kaplan-Meier analysis and log-rank test was used to compare the survival of tobacco and non tobacco users. The results of the null hypothesis were less than or equal to 0.05.

Results

Demographic profile: The present study included 117 buccal mucosa carcinoma subjects (87 tobacco users and 30 non tobacco users in the proportion of 3:1). [Table/Fig 1] shows the association of demographic characteristics according to tobacco and non tobacco users. Of 117 subjects, 61 (52.1%) male and 56 (47.9%) female subjects had significant risk habit difference (p=0.023, p<0.05) with 0.365 (95CI, 0.150-0.886) fold risk. Majority of subjects were in old age group groups 59 (50.4%) with mean age of 52.2 years (Range: 24-88 years). The present study shows significant association between young (<40 years) and older age (≥40 years) groups (p=0.04, p<0.05). Further, the study revealed tobacco users had 2.026 (95CI, 0.905-4.996) fold risk of developing disease than non tobacco users. The rest of characteristics of marital status, BMI and socioeconomic status did not show significant difference based on tobacco and non tobacco usage by Chi-square crude RR analysis.

Demographic characteristics and its association with tobacco and non-tobacco habitual subjects.

CharacteristicsTobacco (n=87)Non tobacco (n=30)Risk ratio (95%CI)p-value
Gender
Male40 (46)21(70)0.365 (0.1500.886)0.023*
Female47 (54)9 (30)
Marital status
Married57 (65.5)20 (66.7)0.902 (0.4151.958)0.909
Single/divorced/widow30 (34.5)10 (33.3)
Age (years)
≥4039 (44.8)19 (63.3)2.026 (0.9054.996)0.04*
>4048 (55.2)11 (36.7)
BMI
Underweight (<18.5 kg/m2)35 (40.2)9 (30)-0.737
Healthy weight (18.5-24.9 kg/m2)23 (26.4)10 (33.3)
Overweight (25-29.9 kg/m2)19 (21.8)8 (26.7)
Obese (30-35 kg/m2)10 (11.5)3 (10)
SES
Upper3 (3.4)2 (6.7)-0.129
Upper middle8 (9.2)6 (20)
Lower middle15 (17.2)2 (6.7)
Lower upper21 (24.1)3 (10)
Lower40 (46)17 (56.7)

BMI- Body Mass Index; SES-Socioeconomic status;

Significant by chi-square analysis at p<0.05 level


Clinical information: [Table/Fig-2] shows the relation of aetiology and clinical characteristics of subjects. The clinical features of clinical TNM stage (p=0.024), nodal status (p=0.017), tumour cell differentiation (p=0.015), perineural invasion (p=0.012) and extracapsular invasion (p=0.045) had shown significantly different characteristics in tobacco users and non tobacco users. The present study consisted of more tobacco user’s, the clinical characteristics of clinical stage 1.57 fold (95% CI, 0.338-3.31), nodal status 2.014 fold (95% CI, 0.412-4.454), tumour cell differentiation 1.293 fold (95% CI, 0.581-2.878), perineural invasion 2.601 fold (95% CI, 0.806-5.32) and extracapsular invasion 1.627 fold (95% CI, 0.533-2.824) increased risk of development of buccal mucosa carcinoma than non tobacco users.

Clinical characteristics and its association with tobacco and non-tobacco habitual subjects.

CharacteristicsTobacco (n=87)Non tobacco (n=30)Risk ratiop-value
(95%CI)
Clinical TNM Stage
Early stage (I and II)15 (17.2)5 (16.7)1.57 (0.338-3.31)0.024*
Advanced stage (III and IV)72 (82.8)25 (83.3)
Tumour class
T1 and T227 (31.3)12 (40)0.306 (0.066-1.42)0.13
T3 and T460 (68.7)18 (60)
Nodal status
Negative (N0)15 (17.2)4 (13.3)2.014 (0.412-4.454)0.017*
Positive (N1,N2,N3)72 (82.8)26 (86.7)
Metastasis status
Negative (M0)66 (75.9)20 (66.7)1.575 (0.636-3.881)0.325
Positive (M1)21 (24.1)10 (33.3)
Grade of tumour
Well differentiated34 (39.1)14 (46.7)1.293 (0.581-2.878)0.015*
Moderately differentiated39 (44.8)7 (23.3)
poorly differentiated14 (16.1)9 (30)
Lymphovascular Invasion
Negative (-)28 (32.2)9 (30)1.107 (0.450-2.727)0.824
Positive (+)59 (67.8)21 (70)
Perineural Invasion
Negative (-)27 (31)6 (20)2.601 (0.806-5.32)0.012*
Positive (+)60 (69)24 (80)
Pattern of Invasion
Type I14 (16.1)7 (23.3)-0.643
Type II26 (29.9)9 (30)
Type III47 (54)14 (46.7)
Extracapsular Invasion
None57 (65.5)21 (70)1.627 (0.533-2.824)0.045*
Moderate16 (18.4)5 (16.7)
High14 (16.1)4 (13.3)

Significant by chi-square analysis at p<0.05 level.


Rest of the clinical features metastasis status, lymphovascular invasion and pattern of invasion had failed to show difference based on habits of individuals.

Analysis of prognostic factors: A total period of follow up was 34 months (median, 24 months); whoever missing last follow up, contacted through phone. Overall, at the last follow up, two (1.7%) subjects had died, four (3.4%) subjects were identified with recurrence and 111 (94.9%) subjects were alive without any evidence of the disease [Table/Fig-3]. [Table/Fig-4] showed overall survival of buccal mucosa carcinoma subjects (50%) by Kaplan-Meier survival analysis [Table/Fig-5] revealed that tobacco users, smokers and/or chewers (44%) had a significantly poorer survival when compared to the non tobacco users (57%) by Kaplain-Meier survival analysis using log-rank test (p=0.042, p<0.05).

Overall survival difference between tobacco and non tobacco users.

HabitsTotal no. of subjects (n=117)No. of DSD (n=2)no. of recurrent (n=4)Survival ratep-value
Tobacco users87 (74.3)2 (100)3 (75)440.042*
Non tobacco users30 (25.7)01 (25)57

DSD= Disease Specific Death

Significant at p<0.05 level by Kaplan-Meier survival analysis using log-rank test


Overall survival of buccal mucosa carcinoma by Kaplan-Meier analysis.

Overall survival difference of tobacco users and non tobacco users by Kaplan-Meier (Log-rank test) analysis.

Discussion

There is a strong association between the consumption of tobacco and non tobacco habits, incidence of oral cancer and reduction of their consumption with the prevention of cancer [11]. Tobacco is used in a variety of ways, mostly smoked, but many populations use smokeless tobacco, which comes in two main forms; snuff (finely ground or cut tobacco leaves that can be dry or moist, loose or portion packed in sachets) and chewing tobacco (loose leaf, in pouches of tobacco leaves, plug or twist form). Two main carcinogens present in tobacco smoke are benzo/pyrine derived nitrosamines [12]. Areca nut contains various alkaloids (arecoline, arecaidine, guvacine, guvacoline) which lead to formation of nitrosamines in the saliva that are carcinogenic and addictive substances [8,9,13].

The use of betel quid containing both areca nut and tobacco is associated with 8-15 times higher RR of oral cancer compared to the use of betal quid without tobacco and proves the aggressiveness of tobacco in oral cancer pathogenesis [14]. Further, a study from Northern Italy found that smoking is an independent risk factor which accounted for 42-47% oral cancers in females and 81-87% of oral cancers in males [15]. The reported pooled cancer risk estimate is 3.43 times higher in smokers compared with non smokers (95% CI 2.37-4.94) [16]. In accordance to the previous reports, the present study showed the RR of demographic and clinical characteristics among tobacco and non tobacco habitual buccal mucosa carcinoma subjects.

The Indian studies report male preponderance and is largely attributed to the increasing use of tobacco and non tobacco habits [17-19]. A cohort study conducted in Mumbai found relative risk difference of smoking tobacco, smokeless tobacco and non tobacco habits among gender basis. The study revealed, the RR of smoking in men to be 1.37 (95% CI, 1.23–1.53) fold than women. Similarly, women showed RR of smokeless tobacco was 1.25 (95% CI, 1.15–1.35) [20]. However, the present study shows the significant risk difference among gender.

Most of the Indian studies reported occurrence of oral squamous cell carcinoma in the fifth decade of life [4,5]. In contrary, a South Indian study showed increased incidence of buccal cancers among younger patients <35 years [21]. A recent study based on tobacco use in younger and old patients of tongue squamous cell carcinoma found insignificant difference of tobacco role in younger (<40 years) and elder (≥40 years) age groups of patients [22]. The present study showed the high incidence of older than younger patients with mean age of 53 years. In this study most of younger patients had habits of non tobacco chewing and old patients had a habit of tobacco chewing and smoking. However, the present study revealed that aetiology had significant difference in age groups; tobacco users had 2.026 fold of increased RR of occurrence than non tobacco users.

The aetiology of oral cancer has geographic variation in occurrence, prevention and outcome [23]. Schmidt et al., revealed in his study that oral squamous cell carcinoma was more aggressive (poorly differentiated) in tobacco users than non tobacco users [17]. In contrary, oral cancer did not find significant association of histological grading and smoking habits [24]. However, the present study is coherent with previous results, tobacco habitual showed 1.293 fold RR of aggressive poorly differentiated risk than non tobacco habitual. Additionally, presence of perineural and extracapsular invasion pathological features also had 2.601 and 1.627 fold risk of development of disease in tobacco habitual.

In clinical routine, TNM staging of tumours had been used as important tool for further treatment. Krishnamurthy A and Ramshanker V found with early Stage I and II of tongue squamous cell carcinoma and association with non tobacco habits [22]. In contrary, the present study found with high frequency of tobacco chewers and significant difference with 1.57 fold risks of stage of tumour and additional co-factor of nodal status also showed 2.014 fold RR of occurrence in tobacco than non tobacco chewers. Further, wide study on non tobacco risk of buccal mucosa carcinoma warranted to evaluate the risk of disease.

Limitation

The present study shows the RR (demographic and clinical features) of tobacco and non tobacco habitual users in a single institute with limited number of patients. Further, population wide study is warranted to evaluate the RR analysis.

Conclusion

The present study illustrates that aetiology and its association with demographic-clinical factors, might help to improve prognosis. The study revealed aggressiveness of tobacco with poor survival rate than non tobacco users. Hence, the present study suggests nationwide counselling on prevention of tobacco used in India.

BMI- Body Mass Index; SES-Socioeconomic status;*Significant by chi-square analysis at p<0.05 level*Significant by chi-square analysis at p<0.05 level.DSD= Disease Specific Death*Significant at p<0.05 level by Kaplan-Meier survival analysis using log-rank test

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