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Making the correct decision in a real-time situation is extremely difficult. In today’s technological age, computational methods are available, and they may assist the company’s top leaders in making sound decisions and strengthening the organization. There are several techniques for dealing with decision-making problems, one of which is the use of Hendecagonal fuzzy numbers. These fuzzy numbers are used to represent the ambiguity or ambiguity of eleven linguistic variables. To address these shortcomings, we use the ranking method, relativity function, and comparison matrix to aid in decision-making because we have eleven constraints (linguistic variables) that can be expressed in a hendecagonal fuzzy number matrix (HdcgFNM). The raking technique, relativity function, and comparison matrix were evaluated using a case study.

Agriculture is the mainstay of the Indian economy and it is important to enhance the production with the help of technology. Crop production is a complex phenomenon that is influenced by various parameters like climatic conditions, fertilizers, production, rainfall, etc. In the present study Machine learning is used to predict the crop yield of finger millet using multiple linear regression analysis. Multiple linear regression is considered as a model for prediction and the accuracy of the model for the given data is significantly high when compared to other models. Object oriented Python is used and packages like NumPy and Pandas are utilized for performing operations and data analysis respectively. The main advantage of the research is the prediction of the approximate crop yield well ahead of its harvest, which would help the farmers in taking appropriate measures in crop cultivation, marketing and storage. Such predictions will also help the associated industries for planning the logistics of their business.

One of the increasing concerns about human life is about health and wellness. Health and nutrition are one among the valuable aspects of life. India is the second-largest country in terms of population, so there are various issues being faced in current date related to health sector out of which malnutrition among future generation and that too especially children from rural areas is the biggest challenge. Malnutrition Tracker is an application that predicts the possibility of malnutrition before it occurs while it concentrates more on rural areas. The prediction is based on the food intake of the child. This is done by comparing the nutrition values of the food intake by the child to the minimum requirements of that nutrient based on age and gender. The annual income of the family and the food intakes of the children have been observed and studied for 15 days. Based on these observations we propose an efficient system using the concept of Machine Learning for detecting and predicting malnutrition among children in the schools. Maintaining Data, Generating Reports, and recommending the effective treatment to malnourished children.

With the use of a variety of instructional design approaches being used to let learners fit into real-world applications, the field of situated cognition will let the current-generation students to get suitable for industry endorsements. The use of blended learning methodologies and activities has a culture change for the learners to link with the real-world scenarios, wherein learners are ready with high-end engagement and industry readiness. The proposed situated cognitive processing (SCP) model will be a helpful tool in assisting the learner-centric approach of creativity and application of the current trends. The proposed model would like to address the advantages of the situated learning behavior, wherein student is involved in learning and adopting the knowledge based on situations and conditions.

De-duplication is being widely applied for avoiding storage wasting overhead within the cloud. Information integrity confirmation with de-duplication cannot solely save house of cloud server however conjointly guarantee safe future of the kept information. within the hand of integrity verification, de-duplications field uniten enforced by the cloud file server. The impressions of all file info blocks are set-up and commissioned into cloud servers. Once acquiring the block info and marks, the server contrasts got marks and alsothe put away marks. If there’s a mark that had an indistinguishable incentive from some put away signature, the infogot mark and information square won't be put away by the cloud’s the clserver. Something different, the cloudServer stores each and every got stamp and data squares. Honestly, these errands brings a gigantic computational cost. To tackle this disadvantage, we tend to propose an information honesty check topic with de-duplication. amid this theme, the de-duplication is executed by cloud end user, which might avoid further communicatory with including machine prices. The analysis interpretation signifies that our’s integrity theme is workable for substantial utilization scenario. We now exhibit that the planned plot fulfills impression unforgeability, and vindictive clients can't acquire any real document from the cloud storage server as misleading.

Day to day there is a huge growth of Medical data bases and which in turn posing challenge to the research community in effective analysis for the identification of a particular decease in particular brain cancer. There are several factors which influence the growth of cancer cells. There may be some symptoms which may be common to other deceases. This paper addresses implementation of various Explorative Data Analytics techniques. This will be helpful to the research community for effective analysis of the brain tumor data set. In particular looking towards visual analytics to understand and analyze the data set in an efficient manner. This approach has given conclusion on Mortality rate of Persons and in particular comparison of Male mortality versus Female mortality rate due to brain cancer. Apart from that various Data Mining techniques like Decision trees etc also applied for the analysis of brain tumor data.

India's economy primarily depends on agriculture yield growth and their allied agro industry products. The agriculture yield prediction is the toughest task for agricultural departments across the globe. The agriculture yield depends on various factors. Particularly countries like India, majority of agriculture growth depends on rain water, which is highly unpredictable. Agriculture growth depends on different parameters, namely Water, Nitrogen, Weather, Soil characteristics, Crop rotation, Soil moisture, Surface temperature and Rain water etc. In our paper, lot of Explorative Data Analysis is done and various predictive models were designed. Further various regression models like Linear, Multiple Linear, Non-linear models are tested for the effective prediction or the forecast of the agriculture yield for various crops in Andhra Pradesh and Telangana states.

Data mining techniques are used for mining useful trends or patterns from textual and image data sets. Medical data mining is very important field as it has significant utility in healthcare domain in the real world. The mining techniques can help the healthcare industry to improve quality of services and grow faster with state-of-the-art technologies. Technology usage is not limited to decision making in enterprises, but spread to every walk of life in all fields. This paper is focused on brain tumour detection which is an essential decision making feature and is a part of healthcare application. This paper proposed a methodology for brain tumour detection which has both training and testing phases. A prototype application has been built to demonstrate the usefulness of the proposed algorithm. The experimental results reveal that the application can be integrated with decision support systems in healthcare domain for improving quality of services.

Identifying agents that activate nuclear factor erythroid-2 related factor-2 (Nrf2), a key regulator of various cytoprotective antioxidant, and detoxifying enzymes has evolved as a promising strategy for cancer chemoprevention. In the present study, we investigated the effect of dietary supplementation of structurally diverse phytochemicals- astaxanthin, blueberry, chlorophyllin, ellagic acid, and theaphenon-E on Nrf2 signaling, and xenobiotic-metabolizing and antioxidant enzymes in the 7,12-dimethylbenz[a]anthracene (DMBA)-induced hamster buccal pouch (HBP) carcinogenesis model. We observed that these phytochemicals induce nuclear accumulation of Nrf2 while downregulating its negative regulator, Keap-1. This was associated with reduced expression of CYP1A1 and CYP1B1, the cytochrome P450 isoforms involved in the activation of DMBA, and the oxidative stress marker 8-hydroxy-2′-deoxyguanosine coupled with upregulation of the phase II detoxification enzymes glutathione S-transferases and NAD(P)H:quinone oxidoreductase 1 and the antioxidant enzymes superoxide dismutase, catalase, and glutathione peroxidase. In addition, these dietary phytochemicals also enhanced the DNA repair enzymes 8-oxoguanine glycosylase 1 (OGG1), xeroderma pigmentosum D (XPD), xeroderma pigmentosum G (XPG), and x-ray repair cross complementing group 1 (XRCC1). Our data provide substantial evidence that the dietary phytochemicals inhibit the development of HBP carcinomas through the activation of Nrf2/Keap-1 signaling and by upregulating cytoprotective enzymes. The extent of the chemopreventive effects of the phytochemicals was in the order: chlorophyllin > blueberry > ellagic acid > astaxanthin > theaphenon-E. Thus these dietary phytochemicals that function as potent activators of Nrf2 and its orchestrated response are novel candidates for cancer chemoprevention.

Background/Objectives: The cases related to Brain Tumor has increased with respect to time owing to various reasons. One of the major challenging issues can be defined by integrating image processing along with data mining algorithms such as classification and clustering. Methods/Statistical Analysis: Artificial Intelligence and Machine Learning techniques are very useful for identifying and visualizing the tumor in the MRI brain image, which can be classified using Support Vector Machines (SVM). Findings: In this paper, we proposed SVM algorithm for classifying the images into two categories Benign and Malignant. SVM classifier model is implemented with RBF and SVM Kernels like linear and non-linear techniques. Application/Improvements: We also proposed for enhancing SVM based MRI Brain image classification by identifying the location and size of the tumor by using different segmentation techniques. The experiments are conducted for evaluating accuracy and the results are compared with existing and proposed work.

Objectives: Ages back mankind depends on agriculture yield and it is the only source for food, income and wealth. Even today people of countries like India depend majorly on Agriculture and allied sectors for their livelihood. Most of India’s income source is from the agriculture sector. Agriculture yield estimation and analysis are not taking place effectively. Method/Analysis: In this regard an algorithm to train the SVM’s i.e., the Sequential Minimal Optimization (SMO), classifier algorithm was proposed and results showed that classifier accuracies were improved when compared to other existing techniques. The process involves in replacing all missing values globally. This implementation is globally and then changes nominal attributes to binary form. By default all the attributes are normalized. Findings: Classifier coefficients output is purely from normalized data rather than from original data, which is very useful and important. Pair wise coupling is a multi-class classification method. Approach addresses the predicted probabilities that are coupled with the pairwise coupling method of Hastie and Tibshirani’s. The accuracies were very low when 10 fold cross validation is applied. Novelty/Improvement: The pre-processing techniques were enhanced to further improve the performance accuracies of SMO algorithm even when cross fold validation is applied on the data sets. Performance based com-parisons were made with the existing techniques.

A new bis heterocycle comprising both bioactive 2-aminopyrimidine and thiazolidin-4-one nuclei namely 3-(4'-(4″-fluorophenyl)-6'-phenylpyrimidin-2'-yl)-2-phenylthiazolidin-4-one 3 was synthesized, characterized with the help of melting point, elemental analysis, FT-IR, MS, one-dimensional NMR ((1)H, (13)C) spectra and we evaluated the chemopreventive potential of 3-(4'-(4″-fluorophenyl)-6'-phenylpyrimidin-2'-yl)-2-phenylthiazolidin-4-one based on in vivo inhibitory effects on 7,12-dimethylbenz[a]anthracene (DMBA)-induced hamster buccal pouch carcinogenesis. Administration of 3 effectively suppressed oral carcinogenesis initiated with DMBA as revealed by the reduced incidence of neoplasms. Lipid peroxidation, glutathione (GSH) content, and the activities of glutathione peroxidase (GPx), glutathione S-transferase (GST) were used to biomonitor the chemopreventive potential of 3. Lipid peroxidation was found to be significantly decreased, whereas GSH, GPx, GST, and GGT were elevated in the oral mucosa of tumor-bearing animals. Our data suggest that 3 may exert its chemopreventive effects in the oral mucosa by modulation of lipid peroxidation and enhancing the levels of GSH, GPx, and GST.

Chemoprevention of dietary constituents has emerged as a cost-effective approach to control the incidence of breast cancer. The present study was therefore designed to evaluate the chemopreventive efficacy of black tea polyphenols (Polyphenon-B) during the preinitiation phase of 7,12-dimethylbenz[a]anthracene (DMBA) induced mammary carcinogenesis using xenobiotic-metabolizing enzymes, cellular redox status, cell proliferation, apoptosis, and angiogenesis as biomarkers of chemoprevention. Intragastric administration of DMBA induced adenocarcinomas that showed enhanced activities of phase I carcinogen activation and phase II detoxification enzymes with increased lipid and protein oxidation and decrease in antioxidant status. This was associated with increased cell proliferation, angiogenesis, and evasion of apoptosis as revealed by upregulation of proliferating cell nuclear antigen (PCNA), Bcl-2, and vascular endothelial growth factor (VEGF), and downregulation of Bax, caspase 3, and poly(ADP-ribose) polymerase (PARP). Dietary administration of Polyphenon-B effectively suppressed the incidence of mammary tumors as evidenced by modulation of xenobiotic-metabolizing enzymes and oxidant-antioxidant status, inhibition of cell proliferation and angiogenesis, and induction of apoptosis. The present study provides evidence that Polyphenon-B exerts multifunctional inhibitory effects on DMBA-induced mammary carcinogenesis and suggests that it can be developed as a potential chemopreventive agent.

In the present work, a new bis heterocyclic compound comprising both the piperidone and thiohydantoin nuclei namely 3-[2,6-bis(4-fluorophenyl)-3-methylpiperidin-4-ylideneamino]-2-thioxoimidazolidin-4-one was synthesised and characterised with the help of mp, elemental analysis, FT-IR, MS and one-dimensional NMR ((1)H and (13)C) spectra. The inhibitory effect of 3-[2,6-bis(4-fluorophenyl)-3-methylpiperidin-4-ylideneamino]-2-thioxoimidazolidin-4-one on 7,12-dimethylbenz[a]anthracene (DMBA) induced buccal pouch carcinogenesis was investigated in Syrian male hamsters. All the hamsters that were painted with DMBA on their buccal pouches for 14 weeks developed squamous cell carcinoma. Administration of 3-[2,6-bis(4-fluorophenyl)-3-methylpiperidin-4-ylideneamino]-2-thioxoimidazolidin-4-one effectively suppressed the oral carcinogenesis initiated with the DMBA as revealed by a reduced incidence of neoplasms. Lipid peroxidation, glutathione (GSH) content and the activities of glutathione peroxidase (GPx), glutathione S-transferase (GST) were used to biomonitor the chemopreventive potential of 3-[2,6-bis(4-fluorophenyl)-3-methylpiperidin-4-ylideneamino]-2-thioxoimidazolidin-4-one. Lipid peroxidation was found to be significantly decreased, whereas GSH, GPx, GST and GGT were elevated in the oral mucosa of tumour bearing animals. Our data suggest that 3-[2,6-bis(4-fluorophenyl)-3-methylpiperidin-4-ylideneamino]-2-thioxoimidazolidin-4-one may exert its chemopreventive effects in the oral mucosa by modulation of lipid peroxidation, antioxidants and detoxification systems.

The aim of this study was to evaluate the chemopreventive effects of black tea polyphenols (Polyphenon-B) on markers of invasion and angiogenesis during dimethylaminoazobenzene (DAB)-induced hepatocarcinogenesis.Male Sprague-Dawley rats were divided into four groups. The rats in groups 1 and 2 were given 0.06% DAB in the diet for 3 months followed by the normal diet. The rats in group 2 received in addition 0.05% Polyphenon-B in the basal diet. The group 3 animals were given 0.05% Polyphenon-B alone in the basal diet. The group 4 animals served as the control.The dietary administration of DAB induced well-differentiated hepatocellular carcinomas (HCC) that showed increased expression of the markers of invasion, angiogenesis and epigenetic histone deacetylation compared with the controls. The administration of Polyphenon-B significantly reduced the incidence of DAB-induced hepatomas as evidenced by modulation of the markers of invasion (matrix metalloproteinase, MMP-2, MMP-9, tissue inhibitor of matrix metalloproteinase, TIMP-2, and reversion-inducing cysteine rich protein with Kazal motifs RECK) and angiogenesis (hypoxia inducible factor 1alpha, HIF1alpha, vascular endothelial growth factor, VEGF, and VEGF receptor, VEGFR1) as well as the expression of histone deacetylase HDAC-1.The results of the present study provide evidence that Polyphenon-B has potential as a chemopreventive agent.

We investigated the combinatorial chemopreventive efficacy of Azadirachta indica (AI) and Ocimum sanctum (OS) against N-methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced gastric carcinogenesis, based on changes in oxidant-antioxidant status, cell proliferation, apoptosis and angiogenesis.Male Wistar rats were assigned to four groups. Rats in groups 1 and 2 received MNNG (150 mg/kg body weight i.g.) three times with a gap of two weeks in between the treatment. Group 2 rats additionally received ethanolic AI (100 mg/kg body weight i.g.) and OS (150 mg/kg body weight i.g.) leaf extract three times per week for 26 weeks. Group 3 animals were given AI and OS leaf extract alone, whereas group 4 served as the control.Lipid and protein oxidation and status of the antioxidants, superoxide dismutases, catalase, reduced glutathione (GSH) and GSH-dependent enzymes together with markers of proliferation (proliferating cell nuclear antigen [PCNA], glutathione S-transferase-Pi [GST-P]), invasion (cytokeratin [CK]), angiogenesis (vascular endothelial growth factor [VEGF]) and apoptosis (Bcl-2, Bax, cytochrome C and caspase-3) were used to biomonitor chemoprevention. Rats administered MNNG developed forestomach carcinomas that displayed low lipid and protein oxidation coupled to enhanced antioxidant activities, and overexpression of PCNA, GST-P, CK, VEGF and Bcl-2 with downregulation of Bax, cytochrome C and caspase-3. Coadministration of AI and OS extract suppressed MNNG-induced gastric carcinomas accompanied by modulation of the oxidant-antioxidant status, inhibition of cell proliferation and angiogenesis, and induction of apoptosis.The results of the present study suggest that chemoprevention by AI and OS combination may be mediated by their antioxidant, antiangiogenic, antiproliferative and apoptosis inducing properties.

This study was designed to evaluate the chemopreventive effects of ethanolic Ocimum sanctum (OS) leaf extract on cell proliferation, apoptosis and angiogenesis during N-methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced gastric carcinogenesis.The rats were divided into four groups of ten each. Rats in group one were given MNNG (150 mg/kg body weight) by intragastric intubation three times, with a two-week interval between treatments. Rats in group two were administered MNNG as in group one, and in addition, they received intragastric intubation of ethanolic OS extract (300 mg/kg body weight) three times per week, starting on the day following the first exposure to MNNG. The intubation of ethanolic OS extract continued until the end of the experimental period. Rats in group three were given ethanolic OS leaf extract only. Group four served as controls. All the rats were killed after an experimental period of 26 weeks.Intragastric administration of MNNG-induced well-differentiated squamous cell carcinomas that showed increased cell proliferation, and angiogenesis with evasion of apoptosis, as revealed by the upregulation of proliferating cell nuclear antigen (PCNA), glutathione S-transferase-pi (GST-pi), Bcl-2, cytokeratin (CK) and vascular endothelial growth factor (VEGF) and with downregulation of Bax, cytochrome C and caspase 3 protein expression. Administration of ethanolic OS leaf extract reduced the incidence of MNNG-induced gastric carcinomas. This was accompanied by decreased expression of PCNA, GST-pi, Bcl-2, CK and VEGF, and overexpression of Bax, cytochrome C, and caspase 3.This study provides evidence that, in MNNG-induced gastric carcinogenesis, the key proteins involved in the proliferation, invasion, angiogenesis and apoptosis, are viable molecular targets for chemoprevention using ethanolic OS leaf extract.

Induction of apoptosis is one of the most active strategies in cancer chemoprevention and the ability of medicinal plants in this regard has attracted major research interest. The present study was designed to investigate the apoptosis inducing capacity of an ethanolic neem leaf extract (ENLE) during 7,12-dimethylbenz[a]anthracene (DMBA)-induced hamster buccal pouch carcinogenesis using the apoptosis-associated proteins Bcl-2, Bim, caspase 8 and caspase 3 as markers. Topical application of DMBA to the hamster cheek pouch for 14 weeks resulted in well developed squamous cell carcinomas associated with increased expression of Bcl-2 and decreased expression of Bim, caspase 8 and caspase 3. Administration of ENLE inhibited DMBA-induced hamster buccal pouch (HBP) carcinogenesis, as revealed by the absence of neoplasms, with induction of Bim and caspases 8 and 3 and inhibition of Bcl-2 expression. Our results suggest that the chemopreventive effects of ENLE may be mediated by induction of apoptosis.

Chemoprevention by medicinal plants is a promising approach for controlling cancer. There is substantial evidence to indicate that chemopreventive agents exert their anticarcinogenic effects by modulation of phase I and phase II xenobiotic-metabolizing enzymes. Therefore, we examined the chemopreventive potential of ethanolic neem leaf extract (ENLE) on 7,12-dimethylbenz[a]anthracene (DMBA)-induced hamster buccal pouch (HBP) carcinogenesis. Hamsters were divided into four groups of six animals each. The right buccal pouches of animals in Group I were painted with 0.5 per cent DMBA in liquid paraffin three times per week. Animals in Group 2 painted with DMBA as in group 1, received in addition, intragastric administration of ENLE at a concentration of 200 mg/kg bw three times per week on days alternate to DMBA application. Group 3 was given ENLE alone. Animals in Group 4 served as controls. All animals were killed after an experimental period of 14 weeks. Five out of six hamsters painted with DMBA alone developed squamous cell carcinomas in the buccal pouch. The HBP tumours showed an increase in phase I carcinogen activation (cytochrome P450 and b5) and phase II detoxification enzyme (glutathione-S-transferase, DT-diaphorase and NADPH-diaphorase) activities. In the liver of tumour-bearing animals, enhanced cytochrome P450 and b5 levels were accompanied by a decrease in phase II detoxification enzyme activities. Administration of ENLE effectively suppressed DMBA-induced HBP tumours, decreased cytochrome P450 and b5 levels, and enhanced phase II enzyme activities in the pouch and liver. Our results suggest that the modulation of DMBA metabolism is a possible mechanism for the chemopreventive effects of ethanolic neem leaf extract.

We evaluated the dose-response effect of tomato paste on 7,12-dimethylbenz[a]anthracene (DMBA)-induced hamster buccal pouch (HBP) carcinogenesis using lipid peroxidation, reduced glutathione (GSH) and the GSH-dependent enzymes; glutathione peroxidase (GPx), glutathione-S-transferase (GST) and gamma-glutamyltranspeptidase (GGT) as biomarkers of chemoprevention. Hamsters were divided into eight groups of six animals each. The right buccal pouches of animals in group 1 were painted with a 0.5 per cent DMBA in liquid paraffin three times per week. Animals in groups 2 to 4 painted with DMBA as in group 1, received in addition, intragastric administration of tomato paste containing lycopene at concentrations of 2.5, 5 and 10 mgkg(-1)bw, respectively three times per week on days alternate to DMBA application. Groups 5 through 7 were given tomato paste alone. Animals in group 8 served as controls. All animals were killed after an experimental period of 14 weeks. Lipid peroxidation and GSH-dependent antioxidants were measured in the buccal pouch, liver and erythrocytes. Diminished lipid peroxidation in the HBP tumours was associated with enhanced levels of GSH and GSH-dependent enzymes. In contrast to the buccal pouch, the liver and erythrocytes of tumour-bearing hamsters exhibited elevated lipid peroxidation accompanied by compromised antioxidant status. Administration of tomato paste significantly reduced the incidence of HBP tumours, modulated lipid peroxidation and enhanced GSH and GSH-dependent enzymes in the pouch, liver and erythrocytes. Among the three doses used, tomato paste containing 5 mgkg(-1)bw lycopene showed the optimum effect. It is suggested that tomato paste exerts its chemopreventive effects by modulating lipid peroxidation and enhancing antioxidants in the target organ as well as in the liver and erythrocytes.

We evaluated the modifying effects of aqueous neem leaf extract on the in vivo clastogenicity of N-methyl-N'-nitro-N-nitrosoguanidine (MNNG), a potent gastric carcinogen by quantitation of micronuclei and chromosomal aberrations in metaphase cells from the bone marrow of male Wistar rats. Intraperitoneal injection of MNNG (40 mg/kg body weight) induced a significant increase in the frequency of micronuclei and chromosomal aberrations. Pretreatment with aqueous neem leaf extract (100 mg/kg body weight) significantly reduced MNNG-induced increase in micronuclei and chromosomal aberrations. These results reveal the chemoprotective potential of aqueous neem leaf extract against the clastogenic effects of MNNG.

We evaluated the effects of ethanolic neem leaf extract on N-methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced gastric carcinogenesis in Wistar rats. The extent of lipid peroxidation and the status of the antioxidants superoxide dismutase (SOD), catalase (CAT), reduced glutathione (GSH), glutathione peroxidase (GPx), and glutathione-S-transferase (GST) in the stomach, liver and erythrocytes were used as biomarkers of chemoprevention. Animals were divided into four groups of six animals each. Rats in group 1 were given MNNG (150 mg/kg bw) by intragastric intubation three times with a gap of 2 weeks in between the treatments. Rats in group 2 administered MNNG as in group 1, in addition received intragastric intubation of ethanolic neem leaf extract (200 mg/kg bw) three times per week starting on the day following the first exposure to MNNG and continued until the end of the experimental period. Group 3 animals were given ethanolic neem leaf extract alone, while group 4 served as controls. All the animals were killed after an experimental period of 26 weeks. Diminished lipid peroxidation in the stomach tumour tissue was associated with enhanced antioxidant levels. In contrast to tumour tissue, enhanced lipid peroxidation with compromised antioxidant defences was found in the liver and erythrocytes of tumour bearing animals. Administration of ethanolic neem leaf extract significantly reduced the incidence of stomach tumours, modulated lipid peroxidation and enhanced antioxidant status in the stomach, liver and blood. From the results of our study, we suggest that ethanolic neem leaf extract may exert its chemopreventive effects by modulating lipid peroxidation and enhancing the antioxidant status in the stomach, liver and erythrocytes.

We evaluated the modifying effects of ethanolic extract of neem leaves (Azadirachta indica A. Juss) on oxidative stress induced by the potent gastric carcinogen N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) in male Wistar rats. The extent of lipid peroxidation and the status of the antioxidants superoxide dismutase (SOD), catalase (CAT), reduced glutathione (GSH), glutathione peroxidase (GPx) and glutathione S-transferase (GST) were used as intermediate endpoints of chemoprevention. Three different concentrations of ethanolic neem leaf extract (100, 200 and 400 mg kg(-1) body weight) were administered by intragastric intubation (i.g) for five consecutive days followed by MNNG (i.g) 1.5 h after the final administration. Enhanced lipid peroxidation was accompanied by compromised antioxidant defences in the stomach, liver and erythrocytes of MNNG-treated rats. Pretreatment with ethanolic neem leaf extract at a dose of 200 mg/kg body weight (bw) significantly lowered the concentration of lipid peroxides and increased antioxidant levels. Our results demonstrate that neem leaf exerts its chemoprotective effects on MNNG- induced oxidative stress by decreasing lipid peroxidation and enhancing the antioxidant status.

Consumption of carotenoids is recognised to be inversely related with cancer incidence. Lycopene, a major carotenoid in tomatoes is a potent antioxidant with potential anticarcinogenic properties. We undertook the study to investigate the effect of lycopene on hepatic biotransformation enzymes during 7,12-dimethylbenz[a]anthracene (DMBA)-induced hamster buccal pouch (HBP) carcinogenesis using hepatic lipid peroxidation, reduced glutathione (GSH) and biotransformation enzymes that use GSH as a substrate such as glutathione peroxidase (GPx), glutathione-S-transferase (GST) and glutathione reductase (GR). Enhanced lipid peroxidation in the liver of tumour-bearing animals was accompanied by significant decreases in the activities of GSH and GSH-dependent enzymes. Administration of lycopene significantly decreased the formation of lipid peroxides and enhanced the activities of hepatic biotransformation enzymes. Our results indicate that elevation of hepatic GSH and biotransformation enzymes by lycopene may play a key role in preventing cancer development at extrahepatic sites.

Cytokeratins (also known as keratins (K)) are members of the family of intermediate filaments and form major components of the mammalian epithelial cell cytoskeleton. Cytokeratins have emerged as reliable cellular markers of oral cancer development and chemoprevention because of their abundance, stability and high antigenicity.We investigated the effect of aqueous garlic extract on cytokeratin expression during 7,12-dimethylbenz[a]anthracene (DMBA)-induced hamster buccal pouch (HBP) carcinogenesis. Hamsters were divided into four groups of six animals. Animals in group 1 were painted with a 0.5% solution of DMBA in liquid paraffin, on the right buccal pouches, three times a week for 14 weeks. Group 2 animals were painted with DMBA as in group 1 and also received 250 mg/kg body weight aqueous garlic extract orally on alternate days to the DMBA application. Group 3 animals received garlic extract only, as in group 2. Group 4 animals received neither DMBA nor garlic extract and served as the control. The hamsters were killed after an experimental period of 14 weeks.Cytokeratin expression was studied using human monoclonal antibodies AE1 and AE3, which react with type I and II keratins. In DMBA-induced squamous cell carcinomas, decreased expression of high molecular weight keratins was observed. Administration of garlic extract to animals painted with DMBA suppressed HBP carcinomas and restored normal cytokeratin expression.The results of the present study suggest that inhibition of HBP carcinogenesis by garlic may be due to its regulatory effects on differentiation, tumour invasiveness, migratory and metastatic potential. We suggest that one of the mechanisms of tumour inhibition by garlic is an influence on cellular differentiation.

The protective effect of garlic (Allium sativum L.) and neem leaf (Azadirachta indica A. Juss.) was investigated on hepatic lipid peroxidation and antioxidant status during N-methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced gastric carcinogenesis in male Wistar rats. Enhanced lipid peroxidation in the liver of tumour-bearing animals was accompanied by significant decreases in the activities of glutathione peroxidase (GPx), glutathione-S-transferase (GST), gamma-glutamyl transpeptidase (GGT) and reduced glutathione (GSH) levels. Administration of garlic and neem leaf extracts significantly lowered lipid peroxidation and enhanced the hepatic levels of glutathione and glutathione dependent enzymes. We speculate that garlic and neem leaf significantly alter cancer development at extrahepatic sites by influencing hepatic biotransformation enzymes and antioxidants.

The present study has examined the glycoconjugate profile in plasma and erythrocyte membranes of 24 adult male gastric cancer patients and an equal number of age and sex-matched controls. Protein-bound hexose, hexosamine and sialic acid were significantly increased in plasma and erythrocytes of gastric cancer patients compared to controls. Elevation of glycoconjugates in circulation is suggested to be a result of increased shedding by the tumor cells or increased synthesis by liver, due to acute phase response.

The present study has analysed the relationship between lipid peroxidation and antioxidant status in erythrocytes from 24 adult male gastric cancer patients and an equal number of age- and sex-matched normal subjects. Erythrocyte lipid peroxidation was markedly increased. Both enzymic and non-enzymic antioxidants were decreased in erythrocytes of gastric cancer patients. The present study highlights the occurrence of lipid peroxidation and possible breakdown of antioxidant status in patients with gastric carcinoma.

The present study has examined the role of life-style on plasma and erythrocyte membrane lipid profile in 25 adult male gastric cancer patients as well as age and sex-matched controls. Total, free and LDH cholesterol were markedly elevated in plasma and erythrocyte membrane whereas HDL cholesterol and triglycerides were significantly reduced in gastric cancer patients. These changes can be attributed to alcohol consumption and cigarette smoking-risk factors in gastric carcinogenesis, associated with low levels of ascorbic acid and vitamin E.

This study was undertaken to evaluate the level of glycoproteins and sialic acid in rats fed di (2-ethylhexyl)-phthalate (DEHP) in the diet for 24 weeks. Protein-bound hexose, hexosamine and sialic acid were increased in plasma and liver of rats treated with DEHP, whereas the erythrocyte membrane showed a reduction following DEHP administration. Evaluation of glycoproteins is a useful indicator of the carcinogenic process. It is suggested that profound alterations in membrane components observed in the present study may be related to the carcinogenic potential of DEHP.