• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1201-1206
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• 2015

Background: Tobacco is consumed in both smoking and smokeless forms in India. About 35-40% of tobacco consumption in India is in the latter. The study objective was to describe the association between chewing tobacco and adult mortality. Materials and Methods: A case-control study was conducted in urban (Chennai city) and rural (Villupuram district) areas in Tamil Nadu state in South India. Interviewed in 1998-2000 about 80,000 families (48,000 urban and 32,000 rural) with members who had died during 1995-1998. These were the cases and their probable underlying cause of death was arrived at by verbal autopsy. Controls were 600,000 (500,000 urban, 100,000 rural) individuals from a survey conducted during 1998-2001 in the same two study areas from where cases were included. Results: Mortality analyses were restricted to non-smoking non-drinkers aged 35-69. The age, sex, education and study area adjusted mortality odds ratio was 30% higher (RR:1.3, 95%CI:1.2-1.4) in ever tobacco chewers compared to never chewers and was significant for deaths from respiratory diseases combined (RR:1.5, 95%CI:1.4-1.7), respiratory tuberculosis (RR:1.7, 95%CI:1.5-1.9), cancers all sites combined (RR:1.5, 95%CI:1.4-1.7) and stroke (RR:1.4, 95%CI:1.2-1.6). Of the cancers, the adjusted mortality odds ratio was significant for upper aero-digestive, stomach and cervical cancers. Chewing tobacco caused 7.1% of deaths from all medical causes. Conclusions: The present study is the first large study in India analysing non-smoking non-drinkers. Statistically significant excess risks were found among ever tobacco chewers for respiratory diseases combined, respiratory tuberculosis, stroke and cancer (all sites combined) compared to never tobacco chewers.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1633-1637
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• 2012

Introduction: The incidence of oral premalignant and malignant lesions is on the rise due to an increased number of people taking in tobacco and alcohol related habits. Material and Methods: 1028 patients with tobacco, alcohol and areca nut habits attending our Department of Oral Medicine and Radiology formed the study sample. An interviewer based questionnaire was used to record the habit details. All the patients were then examined clinically for the presence of lesions. Chi square and Fisher exact tests were used to assess the statistical significance of the study parameters. Results: Males had a higher prevalence and comprised 87.9% of the sample. The commonest habit in this study sample was smoking (39.2%) followed by smokeless tobacco use (28.1%). Out of the 1028 patients with habits 40% had no clinically detectable changes in their mucosa. Of the mucosal changes leukoplakia (14%) was the commonest. Conclusions: This study provided information about the habit trends in the patients visiting this institution. The study may serve as a useful tool in educating the patients about the deleterious effects of oral tobacco, alcohol and betel exposure.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10129-10135
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• 2015

Background: Tobacco is a leading preventable cause of deaths worldwide; the situation is particularly serious in the developing countries. Tobacco use amongst the children and adolescents is already a pandemic and they are vulnerable targets of tobacco industry. This is also the case in India. Objectives: 1) Document and monitor the prevalence of tobacco use including smoked, smokeless and other forms of tobacco; 2) Understand student knowledge and attitudes related to tobacco use and its health impact; 3) Assess the impact of tobacco on the oral health status of school-going children in India. Materials and Methods: The sample was 1,500 school children of the age group 12-15 years age. A pretested, close ended questionnaire was administered in the form of extensive face to face interview to understand student knowledge, attitudes and behavior related to tobacco use and its health impact and to assess the prevalence of tobacco use including smoked, smokeless and other forms of tobacco. Oral health status was assessed using the Community Periodontal Index (CPI). Frequency distribution, Chi-square tests and Odd's ratio was calculated. Results: Prevalence of tobacco usage amongst the prevalence was 20.4%: 9.2% reported smoking, 15.8% used tobacco in the chewable form and 25.3% children were involved in consuming betel nut/areca nuts. The OR (Odd's ratio) for calculus formation was highest for guthka chewers (OR=14.322), paan masala chewers had the highest odds of developing bleeding on probing when compared to the others. Conclusions: There is an urgent need to launch school-based tobacco prevention programs for community awareness of children and the public, as preventing the initiation of a habit is far easier than stopping it.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.4
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• pp.1515-1518
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• 2015

Background: Leukoplakia is an asymptomatic and potentially malignant change in the oral mucosa and high frequencies have been reported among smokers. The present study concerned the prevalence of tobacco use and leukoplakia and also associations between the two. Study design: This cross sectional survey was conducted amongst the Gond tribal population of Kundam Block, Jabalpur district, Madhya Pradesh state, Central India during 2007 to 2009. Screening for leukoplakia was conducted by a medical officer with two mouth mirrors. It is only based on visual inspection and oral pathology was not performed. A semi-structured questionnaire was used to collect information on socio-demographic and smoking habits. Prevalence of leukoplakia among users and non-users of tobacco was calculated in terms of percentages. Results: Of 1,552 individuals aged more than 12 years of age who were screened, 144 (9.3%) were found to have oral leukoplakia. The prevalence of leukoplakia was significantly elevated among tobacco users as compared to non-users (11% vs 2.5%; p<0.001). The percentage of leukoplakia was almost similar in both tobacco smokers and chewers (9% vs 11%; p=0.304). However, the percentage of leukoplakia was especially high among those chewers who also smoked tobacco (21.9%). Conclusions: The findings of the present study showed a positive effect of tobacco use and prevalence of leukoplakia. Also the prevalence was very high among Gond tribe, a marginalized population living in central India. There is a need for effective screening and treatment of leukoplakia in this area.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.8
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• pp.3173-3181
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• 2015

Background: It has been hypothesized that IL-18 (pro-) and IL-10 (anti-) inflammatory genetic variants at -607 C/A-137G/C and -819C/T,-592C/A, respectively, may generate susceptibility and severity risk with various modes of tobacco exposure in prostate carcinoma (PCa) patients. IL-18 is a pro-inflammatory cytokine expressed on various cells including prostate gland elements, and is a key mediator of immune responses with anti-cancerous properties. IL-10 is an anti-inflammatory cytokine that is associated with tumour malignancy which causes immune escape. Materials and Methods: The present study was conducted with 540 subjects, comprising 269 prostate carcinoma patients and 271 controls. Genotyping was performed by PCR-RFLP and confirmed by real time PCR probe-based methods. Results: The findings indicated that the mutant heterozygous and homozygous genotype CC and GC+CC showed significant negative associations (p=0.01, OR=0.21; 95% CI: 0.08-0.51 and p=0.011, OR=0.43; 95% CI: 0.22-0.81, respectively) thus, less chance to be diagnosed as cancer against GG genotype of tobacco smoking patients. In addition, a heterozygous GC genotype at the same locus of IL-18 pro-inflammatory cytokine may aggravate the severity (OR=2.82; 95%CI 1.09-7.29 :p=001) so that patients are more likely to be diagnosed in advanced stage than with the GG wild homozygous genotype. Our results also illustrated that anti-inflammatory cytokine (IL-10) genetic variants, although showing no significant association with susceptibility to cancer of the prostate, may gave profound effects on severity of the disease, as -819 TC (OR=4.60; 95%CI 1.35-15.73), and -592 AC (OR=5.04; 95%CI 1.08-25.43) of IL-10 in tobacco chewers and combined users (both chewers and smokers) respectively, are associated with diagnosis in more advanced stage than with other variants. Conclusions: We conclude that promoter genetic variants of IL-18 and IL-10 with various modes of tobacco exposure may affect not only susceptibility risk but also severity in prostate cancer.

• Journal of Periodontal and Implant Science
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• v.44 no.3
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• pp.126-133
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• 2014

Purpose: Smokeless tobacco-based oral-use products like gutka are popular in India. Gutka usage leads to increased periodontal destruction and inflammation; however, the relevant mechanism remains unknown. This study aimed to elucidate the role of gutka in periodontitis by examining its effect on the levels of interleukin (IL) $1{\beta}$ and IL-8 from the gingival crevicular fluid (GCF). Methods: A total of 45 patients were enrolled in this study. Thirty patients with periodontitis (15 gutka chewers [GCP] and 15 nongutka chewers [NGC]) and 15 periodontally healthy controls (HC) were selected. The full-mouth plaque index (PI), gingival index (GI), probing depth (PD), clinical attachment level (CAL), and recession (RC) were recorded. The IL-$1{\beta}$ and IL-8 levels in the GCF of all subjects were assessed through an enzyme-linked immunosorbent assay (Quantikine). Results: The IL-$1{\beta}$ and IL-8 levels were not significantly higher in the GCP group (IL-$1{\beta}$, $369.01{\pm}273.44{\mu}L$; IL-8, $205.97{\pm}196.78{\mu}L$) as compared to those in the NGC group (IL-$1{\beta}$, $195.57{\pm}96.85{\mu}L$; IL-8, $178.61{\pm}149.35{\mu}L$). More gingival RC and loss of attachment was seen among the GCP group (RC: $2.02{\pm}0.31$, P=0.013; CAL: $4.60{\pm}0.56$, P<0.001) than among the NGC group (RC, $1.21{\pm}1.15$; CAL, $3.70{\pm}0.32$); however, PD was deeper among the NGC subjects (P=0.002). PI and GI were significantly higher for the periodontitis group (P<0.001) when compared to the HC, but there was no difference among gutka chewers and non-chewers (P=0.22 and P=0.89). A positive correlation was found between the IL-8 levels and the duration of gutka chewing (r=-0.64, P<0.01). Conclusions: Gutka chewing leads to increased gingival RC and clinical loss of attachment. There was no effect seen in the proinflammatory cytokine levels in the GCF of gutka users.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.4
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• pp.1659-1665
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• 2014

The present study conducted with 100 oral cancer patients at a private tertiary care hospital in Delhidemonstrated that stage III cancer was associated with longer use of tobacco and poor oral hygiene. There was also statistically significant association (p<.05) between consumption of tobacco and alcohol. More than 60% treatment expenditure was on surgery followed by accommodation (9%) and investigations (8%). The effect of tobacco was well known among patients as 76% of the patients knew that common cancer in tobacco chewer is 'oral cancer', 22% of the patients however responded that they did not know which cancer is common in tobacco chewers. 58% said that they learnt about ill effects of tobacco from media while 24% said they learnt from family and friends. Out of 78 tobacco users, 60 (77%) said that they never received help to quit tobacco while 18(23%) have received help to quit.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.977-980
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• 2013

Background: Endometrial cancer is common in western women, and the rates are very high; however in India, the rates are as low as 4.3 per 100,000 (Delhi). Objective: To estimate the survival of endometrial cancer patients based on age, education, family history, tobacco habit, number of pregnancies, clinical extent of disease and treatment received. Materials and Methods: The present retrospective study was carried out at the Tata Memorial Hospital (TMH), Mumbai, India, between 1999-2002. 310 cases treated in TMH were considered as eligible entrants for the study. Five-year survival rates were estimated using actuarial and loss-adjusted (LAR) methods. Results: The proportions of patients dying above 50 years of age, non-residents and illiterates was higher than their counterparts. 54.8% of patients had some form of treatment before attending TMH. There were only 4.2% tobacco-chewers and only 6.1% had a family history of cancer. There were 25.8% who had 3-5 pregnancies (not living children) and 38.1% did not remember the pregnancy history. The 5-year overall survival rate was 92%. The five-year rates indicated better prognosis for those aged less than 50 years (97%), non-tobacco-chewers (94%), with no family history of cancer (93%), with localized disease (93%) and those treated with surgery either alone or as a combination treatment (95%). Conclusions: The present study showed that endometrial cancer patients with localized disease at diagnosis have a good outcome in India. A detailed study will help in understanding the prognostic indicators for survival especially with the newer treatment technologies now available.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.6953-6961
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• 2015

Background: Tobacco and alcohol contain or may generate carcinogenic compounds related to cancers. CYP1A1 enzymes act upon these carcinogens before elimination from the body. The aim of this study was to investigate whether CYP1A1 T3801C polymorphism modulates the relationship between tobacco and alcohol-associated head and neck cancer (HNC) susceptibility among the northeast Indian population. Materials and Methods: One hundred and seventy histologically confirmed HNC cases and 230 controls were included within the study. The CYP1A1 T3801C polymorphism was determined using PCR-RFLP, and the results were confirmed by DNA sequencing. Logistic regression (LR) and multifactor dimensionality reduction (MDR) approaches were applied for statistical analysis. Results: The CYP1A1 CC genotype was significantly associated with HNC risk (P=0.045). A significantly increased risk of HNC (OR=6.09; P<0.0001) was observed in individuals with combined habits of smoking, alcohol drinking and tobacco-betel quid chewing. Further, gene-environment interactions revealed enhanced risks of HNC among smokers, alcohol drinkers and tobacco-betel quid chewers carrying CYP1A1 TC or CC genotypes. The highest risk of HNC was observed among smokers (OR=7.55; P=0.009) and chewers (OR=10.8; P<0.0001) carrying the CYP1A1 CC genotype. In MDR analysis, the best model for HNC risk was the three-factor model combination of smoking, tobacco-betel quid chewing and the CYP1A1 variant genotype (CVC=99/100; TBA=0.605; P<0.0001); whereas interaction entropy graphs showed synergistic interaction between tobacco habits and CYP1A1. Conclusions: Our results confirm that the CYP1A1 T3801C polymorphism modifies the risk of HNC and further demonstrated importance of gene-environment interaction.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.7
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• pp.4335-4338
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• 2013

Background: This study aimed to determine the association between betel quid chewing and the occurrence of upper aerodigestive tract (UADT) cancers. Methods: A cohort of 17,388 subjects, recruited and interviewed over the 1990-2001 period, in Khon Kaen, Thailand, was followed up until 2011. The data were linked to the Khon Kaen Population-Based Cancer Registry. Results: The prevalence of betel quid chewing was 15.9%, with a female predominance (97.7%); the mean age of chewers was 57.7 years (SD 6.6). The overall incidence of UADT cancers from the cohort was 14.7 per 100,000 person-years, whereas the incidence among the chewers was 45.7. Betel nut chewing was the only major risk factor for UADT cancers in this population (HR=5.26, 95%CI=2.51-11.0), while weak associations were found for tobacco smoking and alcohol (HR=1.16, 95%CI=0.45-3.01 and 1.47, 95%CI=0.72-3.03 respectively). Conclusions: We found betel quid chewing to be a main risk factor for UADT cancers, resulting in a higher incidence in females. However, further study is required to explore the potential risk factors among non-chewers, non-smokers, and non-drinkers.