Search

Comprehensive CtDNA and CTC profiling of treatment naïve early-stage head and neck cancer patients reveals early signatures of disease progressionBackground: We performed comprehensive ctDNA analysis on early-stage HNC patients in a pilot study to determine the mutational landscape in HNC patients with a known tobacco history. Methods: We analysed ctDNA of 18 early-stage HNC patients for genomic landscapes using the illumina NextSeq 2000 NGS. A custom-designed OncoIndex gene panel was used for the hybrid capture target-enrichment of critical cancer genes. Panel was designed to detect cancer targeting exonic sequence of 600 genes reporting SNVs and indels along fusions and copy number amplification. The gene panel detected genome-wide signatures including bTMB, MSI (microsatellite instability), HRD (homologous recombination deficiency) prediction and calculate cfDNA tumor fraction. Results: 80 % patients showed presence of at least one CTC in peripheral blood, possibly indicating the progressive disease at the time of presentation. Comprehensive genomic profile obtained from plasma cfDNA of early-stage HNC cancer patients predominantly had low bTMB and MSI Scores (99 % patients). However, HRD and LOH matrix was high for 60 % patients indicating highly dysregulated DNA repair activities. Concurring to these observations, 98 % patients had mutations in key tumor suppressor and DNA damage response (DDR) genes possibly resulting in their loss of function. Besides DNA damage pathway, 60% patients harboured alterations in RTK genes including FGFR, EGFR and PDEGFR family and 32% patients showed activating mutations in Erk1 and its upstream regulators. MSH2 was the most prominently mutated gene (37%) followed by FGFR (32%). Surprisingly, unlike HPV positive advanced HNC cases, TP53 mutations were not detected in any patient, though alterations in TS genes were most prevalent in the study population. 51% alterations resulted into truncated proteins possibly impairing their functions, while 42% alterations were point mutations, 6 % were frameshift and 1 % indels. Presence of mutations in BRAF, PDGFR, FGFR and KIT genes suggested for the potential therapy resistance. Tumor fraction representing ctDNA showed elevated range from 20 % to 45 % with a corresponding ploidy between 2 to 4. Conclusions: Comprehensive ctDNA profile showed major gene alterations in TS and DDR response pathway genes besides mutations in proliferative signaling members. TP53 mutation was not detected, although critical tumor suppressor and DDR genes were predominantly mutated, suggesting for a unique mutation pattern associated with early-stage HNC due to tobacco etiology. Our results suggest that comprehensive ctDNA analysis along CTC profiling can predict the disease progression beforehand and may offer new treatment options to early-stage HNC patients. Citation Format: Gowhar Shafi, Atul Bharde, Fauzul Moubeen, Kanchan Hariramani, Alain D’Souza, Trupti Kad, Bhagwat Jadhav, Sangita Prajapati, Aditi Rani, Madhura Basavalingegowda, Mohan Uttarwar, Gourishankar Aland, Sreeja Jayant, Aravindan Vasudevan, Pankaj Chaturvedi, Jayant Khandare. Comprehensive circulating tumor DNA and CTC profiling of treatment naïve early-stage head and neck cancer patients reveals early signature of disease progression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3379.

Background: Genomic profiling has revolutionized precision oncology impacting the diagnosis, prognosis, and therapy decisions. Considering high spatiotemporal diversity and heterogenicity of breast tumor-cell genomes, small-gene panels often fail to capture rare but important genomic alterations. Conversely, comprehensive ctDNA sequencing approaches enable the identification of under characterized ‘long tailed driver’ genomic alterations and capture Intra and inter metastatic heterogeneity. Here, we demonstrate the clinical utility of comprehensive genome profiling with higher sensitivity to predict the possibility of metastasis in early-stage breast cancer patients. Methods: We retrospectively analyzed ctDNA and genomic DNA (gDNA) from FFPE samples as well as circulating tumor cells (CTC) in 10 treatment-naive hormone positive and HER2 negative, primary-stage breast cancer patients [GS1] using the OncoIndx comprehensive 600 gene panel. The panel captures all important cancer-relevant genomic alterations including Tumor Mutation Burden (TMB), Micro Satellite Instability (MSI), homologous recombination deficiency (HRD) prediction, and cfDNA tumor fraction (TF). CTCs were enumerated from 1.5 ml of blood using the OncoDiscover platform approved by the Drug Controller General of India having anti-EpCAM antibody-mediated immunomagnetic nanoparticles. CTCs were confirmed for cytokeratin 18+ and DAPI + markers and the absence of CD45. Results: Comprehensive genomic profile obtained from ctDNA and gDNA from FFPE of early-stage breast cancer patients predominantly exhibited the presence of alterations in PIK3CA and ESR1 signaling pathways. PIK3CA mutations were present in 77% and 44% of baseline ctDNA and gDNA samples, while ESR1 mutations were present in 44% and 22% of baseline ctDNA and gDNA, respectively. In addition, we observed about 70% additional driver mutations in ctDNA samples suggesting shedding of ctDNA together with CTC (80% positive), a likely positive biomarker of metastasis. About 50% of the patients showed higher TMB and HRD. Notably, TF representing ctDNA varied between 13% to 27% in blood samples with a corresponding ploidy range of 2.9 to 4.7. Surprisingly, ~50% of the patient population matched the mutation profile of clinically confirmed metastatic patients. All the patients harboring potential metastatic driver alterations showed the presence of CTCs in peripheral blood. Conclusions: Comprehensive ctDNA genomic profiling showed potential metastasis driving alterations suggesting the role of ctDNA-based liquid biopsy to predict metastasis in early breast cancer patients. We observed enhanced TF at the time of diagnosis, possibly due to the presence of distant metastasis, high disease burden, and aggressive tumor biology. Our results suggest that ctDNA dynamics at the time of disease presentation can predict early metastasis, and may demonstrate the divergent response of tumor heterogeneity to treatment in early-stage breast cancer. Citation Format: Gowhar Shafi, Manoj Dongare, Atul Bharde, Moubeen Fauzul, Kanchan Hariramani, Alain D’Souza, Bhagwat Jadhav, Trupti Kad, Sangeeta Prajapati, Vikas Jadhav, ManojKumar Kumaran, Sumit Haldar, Vatsal Mehra, Sujit Joshi, Gourishankar Aland, Richa Dave, Sreeja Jayant, Aravindan Vasudevan, Mohan Uttarwar, Jayant Khandare. Comprehensive ctDNA profiling reveals potential metastatic genomic signatures in treatment-naive early-stage breast cancer patients [abstract]. In: Proceedings of the AACR Special Conference: Cancer Metastasis; 2022 Nov 14-17; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_2):Abstract nr PR007.

1547 Background: Oncology implicates highest precision using next generation diagnostics and progressive therapies assisted by predictive tools. If validated clinically, machine learning (ML) can provide better insights in precision oncology. Furthermore, it longitudinally may stratify the progression of cancer disease burden in a real time. We have developed, Circulating Tumor Cells (CTCs) driven ML model as a predictor for the treatment decision strategy for both surgery and adjuvant therapy in head and neck squamous cell carcinoma (HNSCC) patients. Methods: In this study, a total of 380 HNSCC patients who underwent either surgery alone or surgery plus adjuvant therapy were accounted for. CTCs in patients were stratified based on clinicopathological parameters and using OncoDiscover platform having anti EpCAM antibody system regulated by the Drug Controller of India. Following this, we explored the predictive performance of the ML model on the usefulness of adjuvant therapy in HNSCC patients after the surgery. The available data was randomly divided into two subsets. First, 75%, of the original data was applied for Training the ML, and rest 25% of the data was used as a Test set. Survival curves were generated by Kaplan–Meier method and calculated through the Log rank test. Results: XGBoost machine learning classifier was superior to Random Forest and SVM-based analyses in predicting the usefulness of adjuvant therapy post-surgery using CTC alone or in combination with other clinical parameters in HNSCC patients. Machine learning algorithms were compared for predicting the accuracy of patients stratification. The results for each model were: XGBoost model (Accuracy = 0.84, ROC value = 0.73, Kappa = 0.43); Random Forest model (Accuracy = 0.81 ROC value = 0.70, Kappa = 0.41); SVM model (Accuracy = 0.76, ROC value = 0. 69, Kappa = 0.40). The ROC value of the XGBoost model was highest (0.73) while the ROC value for the SVM model was lower (0.69). We observed that when CTCs were combined with clinicopathological parameters, the accuracy, kappa values and AUC-ROC drastically improved in predicting the usefulness of adjuvant therapy post-surgery. A similar trend was observed when CTCs were combined with clinicopathological parameters in predicting the line of chemotherapy, post-surgery. Conclusions: ML-enabled, CTCs driven predictions can be highly accurate and ascertain the patient treatments. CTCs can be a positive predictor for selecting patient’s treatment regimen in both surgery as well in type of treatment (e.g. surgery alone or surgery + adjuvant therapy). It can also implicate to classify the patients and determine who necessitates an additional adjuvant therapy. Further investigations in this direction are necessary to predict the treatment options based on ML that may improve the overall survival of cancer patients.

3019 Background: Homologous recombination deficient (HRD) tumors are highly responsive to platinum-based chemotherapy and poly (ADP-ribose) polymerase inhibitor (PARPi) therapy. Pathogenic BRCA-1 and BRCA-2 (BRCA1/2) alterations are key members of the HR DNA repair pathway but genomic instability status, including loss of heterozygosity, telomeric allelic imbalance and large scale state transitions across the genome are also predictive of HRD. HRD testing is currently performed by next generation sequencing which can take 2-4 weeks for results, has a high failure rate, requires significant tissue and is costly. We developed and tested the ability of an AI enabled platform to predict HRD status from the analysis of whole slide imaging of the diagnostic H&E slide. This platform, iPREDICT-HRD is rapid, precise, and cost effective. Methods: The AI engine was trained on 120 H&E slides that were used to identify tumor prior to manual microdisseection for HRD assessment by NGS. Histopathological features were extracted, followed by feature mapping to predict HRD status based on the results of NGS testing. ResNet AI algorithm was trained to segment, annotate and predict HRD status. 10 lac tiles of 256x256 size at 40x magnification were generated per pathological class. 70% of the data set was used for training and 30% for validation of the AI model. Results: Using single blinded clinical samples, iPREDICT-HRD tool detected HRD + ve samples with 99.3% accuracy with 100% sensitivity and 99% specificity in the test set. Patch-level predictions of HRD status demonstrated intra-tumor heterogeneity within the H&E slides. Visual inspection of the heatmap suggested the presence of patches with high predictive ability of HRD status and this outperformed an average HRD score for slides with heterogeneity. Conclusions: AI-enabled prediction of HRD status can be accurately performed on diagnostic H&E slides potentially yielding results quickly and afforadably, even when limited tissue is available for testing.

Cyclophosphamide and doxorubicin (adjuvant chemotherapy) are commonly used to treat breast cancer patients. Variation in the genes involved in pharmacodynamics and pharmacokinetics of these drugs plays an important role in prediction of drug response and survival. The present study was carried out with an aim to evaluate the variation in all the genes involved in pharmacokinetic and pharmacodynamics pathways of cyclophosphamide and doxorubicin, and correlate specific variants with disease outcome in breast cancer patients from the Malwa region of Punjab. A total of 250 confirmed breast cancer patients were involved in the study. Genotyping was performed on an Illumina Infinium HD assay platform using a Global Screening Array (GSA) microchip. GenomeStudio (Illumina, Inc.) was used for data preprocessing and a p value less than or equal to 5 × 10–8 was considered statistically significant. To rule out the influence of confounding risk factors, a step-wise multivariate regression analysis was carried out to evaluate the association of genotype with overall clinical outcome. Two gene variants, CYP2C19 (G681A) and ALDH1A1*2 (17 bp deletion), were found to be significantly associated with the disease outcome, including overall survival, recurrence and metastasis, in breast cancer patients on adjuvant therapy. Both these genes are involved in the pharmacokinetics of cyclophosphamide. However, none of the variants in the genes involved in pharmacokinetics and pharmacodynamics of doxorubicin were found to have any significant impact on disease outcome in the studied group. CYP2C19 (G681A) variant and ALDH1A1*2 emerged as two important biomarkers associated with bad outcome in breast cancer patients on adjuvant therapy.

Lung cancer, one of the most frequently diagnosed cancers worldwide has long relied on testing for the molecular biomarkers EGFR/ALK. However, achieving superior clinical outcomes for patients with lung cancer requires developing comprehensive techniques beyond contemporary EGFR/ALK testing. Current technologies are on par with molecular testing for EGFR/ALK in terms of efficacy, most of them failing to offer improvements perhaps primarily due to skepticism among clinicians, despite being recommended in the NCCN guidelines. The present study endeavored to minimize chemotherapy-dependence in EGFR/ALK-negative patient cohorts, and use evidence-based methods to identify ways to improve clinical outcomes. In total, 137 lung cancer cases obtained from 'PositiveSelect NGS data', comprising 91 males and 46 females, were investigated. EGFR- and ALK-positivity was used for data dichotomization to understand the therapeutic utility of rare gene alterations beyond just EGFR/ALK. Statistics obtained from PositiveSelect were collated with data from international studies to construct a meta-analysis intended to achieve better clinical outcomes. Upon dichotomization, 23% of cases harbored EGFR variants indicating that treating with EGFR TKIs would be beneficial; the remaining 77% exhibited no EGFR variants that would indicate favorable results using specific currently available chemotherapy practices. Similarly, 28% of cases had EGFR+ALK variants favoring EGFR/ALK-based targeted therapeutics; the remaining 72% harbored no EGFR/ALK variants with known beneficial chemotherapy routes. The present study aimed to overcome current inadequacies of targeted therapies in patients with a conventional EGFR/ALK-positive diagnosis and those in EGFR+ALK-negative cohorts. Upon analysis of the negative cohorts, significant and clinically relevant single nucleotide variants were identified in KRAS, ERBB2, MET and RET, with frequencies of 7, 1, 2 and 3% in patients who were EGFR-negative and 6, 1, 1, and 3% in patients who were EGFR and ALK-negative, respectively, enabling the use of targeted therapeutics aside from EGFR/ALK TKIs. From the results of the current study only 35% of the two negative arms (EGFR negative and EGFR+ALK negative) would be recommended NCCN or off-label chemotherapy; prior to the current study, the entire cohorts would have been recommended this treatment. The present study emphasizes the potential of comprehensive genomics in identifying hallmarks of lung cancer beyond EGFR/ALK, using broad-spectrum genetic testing and data-sharing among medical professionals to circumvent ineffective chemotherapy.

// Helena Costa 1, * , Xinling Xu 1, * , Gitta Overbeek 1, * , Suhas Vasaikar 2 , C. Pawan K. Patro 3 , Ourania N. Kostopoulou 1 , Masany Jung 1 , Gowhar Shafi 4 , Sharan Ananthaseshan 1 , Giorgos Tsipras 2 , Belghis Davoudi 1 , Abdul-Aleem Mohammad 1 , Hoyin Lam 1, 7 , Klas Straat 1, 5 , Vanessa Wilhelmi 1 , Mingmei Shang 2 , Jesper Tegner 2 , Joo Chuan Tong 3 , Kum Thong Wong 6 , Cecilia Soderberg-Naucler 1, ** , Koon-Chu Yaiw 1, ** 1 Cell and Molecular Immunology, Department of Medicine, Center for Molecular Medicine, Unit for Experimental Cardiovascular Research and Department of Neurology, Karolinska Institutet, Stockholm, Sweden 2 Unit of Computational Medicine, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden 3 Social & Cognitive Computing Department, Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore 4 Department of Genomics and Bioinformatics, Positive Bioscience, Mumbai, India 5 Division of Gene Technology, School of Biotechnology, Science for Life Laboratory, Royal Institute of Technology (KTH), Solna, Sweden 6 Department of Pathology, Faculty of Medicine, University of Malaya, Malaysia 7 Present affiliation: Division of Cancer Studies, King’s College London, London, UK * These authors have contributed equally to this work ** Shared senior authorship Correspondence to: Koon-Chu Yaiw, email: koon.yaiw@ki.se Cecilia Soderberg-Naucler, email: cecilia.naucler@ki.se Keywords: cytomegalovirus, glioblastoma, arginase, treatment Received: September 16, 2015 Accepted: May 14, 2016 Published: May 30, 2016 ABSTRACT Background: Both arginase (ARG2) and human cytomegalovirus (HCMV) have been implicated in tumorigenesis. However, the role of ARG2 in the pathogenesis of glioblastoma (GBM) and the HCMV effects on ARG2 are unknown. We hypothesize that HCMV may contribute to tumorigenesis by increasing ARG2 expression. Results: ARG2 promotes tumorigenesis by increasing cellular proliferation, migration, invasion and vasculogenic mimicry in GBM cells, at least in part due to overexpression of MMP2/9. The nor-NOHA significantly reduced migration and tube formation of ARG2-overexpressing cells. HCMV immediate-early proteins (IE1/2) or its downstream pathways upregulated the expression of ARG2 in U-251 MG cells. Immunostaining of GBM tissue sections confirmed the overexpression of ARG2, consistent with data from subsets of Gene Expression Omnibus. Moreover, higher levels of ARG2 expression tended to be associated with poorer survival in GBM patient by analyzing data from TCGA. Methods: The role of ARG2 in tumorigenesis was examined by proliferation-, migration-, invasion-, wound healing- and tube formation assays using an ARG2-overexpressing cell line and ARG inhibitor, N (omega)-hydroxy-nor-L-arginine (nor-NOHA) and siRNA against ARG2 coupled with functional assays measuring MMP2/9 activity, VEGF levels and nitric oxide synthase activity. Association between HCMV and ARG2 were examined in vitro with 3 different GBM cell lines, and ex vivo with immunostaining on GBM tissue sections. The viral mechanism mediating ARG2 induction was examined by siRNA approach. Correlation between ARG2 expression and patient survival was extrapolated from bioinformatics analysis on data from The Cancer Genome Atlas (TCGA). Conclusions: ARG2 promotes tumorigenesis, and HCMV may contribute to GBM pathogenesis by upregulating ARG2.

Breast cancer is the most commonly diagnostic cancer and the leading cause of cancer death in females. An important gene PIK3CA is known for playing the important role in breast cancer pathogenesis. In this study, we carried out RNA sequencing of cancer and normal samples of a breast cancer patient positive for PIK3CA G118D somatic mutation to identify the potential targets through differential gene expression and alternative splicing of genes. RNA sequencing of cancer and normal samples was carried out using Illumina Hiseq 2500. Sequencing reads were mapped with the human reference genome hg19 using algorithm implemented in STAR. Cuffdiff of Cufflinks was used to identify differentially expressed genes (DEGs) and rMATS was used to identify differentially alternative splicing (DASs) events. Functional enrichment and pathway analysis was carried out using DAVID database. Overall, the cancer sample resulted in the identification of a total of 322 DEGs; 64% of them were down regulated and 36% were up-regulated. Skipping Exon (SE) was found to be most common alternative splicing (AS) event and accounted for 73% of all the AS events. The important cancer genes showing AS include PIK3CA, MUTYH, PALB2, NTRK1, DNMT3A. The GO annotation revealed very important biological processes associated with DAS including cell death, apoptosis, response to stress, cell differentiation. We also obtained very interesting pathways using the KEGG pathway database including TNF signaling pathway, estrogen signaling pathway, ErbB signaling pathway and cAMP signaling pathway. We conclude that splicing alterations would be a great source to elucidate the potential biomarkers for breast cancer treatment.

Kynurenine pathway (KP) activation by the enzymatic activity of indoleamine 2,3-dioxygenase1 (IDO1) and kynurenine (KYN) production represents an attractive target for reducing tumour progression and improving anti-tumour immunity in multiple cancers. However, immunomodulatory properties of other KP metabolites such as 3-hydroxy kynurenine (3-HK) and kynurenic acid (KYNA) are poorly understood. The association of the kynurenine metabolic pathway with T-cell status in the tumour microenvironment were characterized, using gene expression data of 368 cutaneous skin melanoma (SKCM) patients from the TCGA cohort. Based on the identified correlations, we characterized the production of KYN, 3-HK, and KYNA in vitro using melanoma-derived cell lines and primary CD4+ CD25− T-cells. Activation of the CD4+ T-cells produced IFNγ, which yielded increased levels of KYN and KYNA. Concurrently, kynurenine 3-monooxygenase (KMO) expression and proliferation of CD4+ T-cells were reduced, whereas exhaustion markers such as PD-L1, AHR, FOXP3, and CTLA4 were increased. Additionally, an analysis of the correlation network reconstructed using TCGA-SKCM emphasized KMO and KYNU with high variability among BRAF wild-type compared with V600E, which underscored their role in distinct CD4+ T-cell behavior in tumour immunity. Our results suggest that, in addition to IDO1, there is an alternative immune regulatory mechanism associated with the lower KMO expression and the higher KYNA production, which contributes to dysfunctional effector CD4+ T-cell response.

Human epidermal growth factor receptor 2 positive (HER2+) breast cancer (BC) is an aggressive BC subtype characterized by HER2 overexpression/amplification. Genomic alterations of HER2 and others have been reported to be associated with, HER2 overexpression and prediction of trastuzumab-response. Here, we aimed at identifying germline and somatic alterations associated with HER2+ BC and evaluating their association with clinical outcome in response to trastuzumab therapy given to HER2+ BC patients. Global Sequencing Array (GSA) and polymerase chain reaction-restriction length polymorphism (PCR-RFLP) techniques were used to determine alterations in HER2 and other HER2-interacting as well as signaling-related genes in HER2+ BC. In addition, 20 formalin fixed paraffin-embedded tissue samples were also evaluated by GSA for identifying significant variations associated with HER + BC as well as response to trastuzumab therapy. A germline variant in HER2 (I655V) was found to be significantly associated with the risk of the disease (p

Lung cancer, one of the most frequently diagnosed cancers worldwide has long relied on testing for the molecular biomarkers EGFR/ALK. However, achieving superior clinical outcomes for patients with lung cancer requires developing comprehensive techniques beyond contemporary EGFR/ALK testing. Current technologies are on par with molecular testing for EGFR/ALK in terms of efficacy, most of them failing to offer improvements perhaps primarily due to skepticism among clinicians, despite being recommended in the NCCN guidelines. The present study endeavored to minimize chemotherapy-dependence in EGFR/ALK-negative patient cohorts, and use evidence-based methods to identify ways to improve clinical outcomes. In total, 137 lung cancer cases obtained from ‘PositiveSelect NGS data’, comprising 91 males and 46 females, were investigated. EGFR- and ALK-positivity was used for data dichotomization to understand the therapeutic utility of rare gene alterations beyond just EGFR/ALK. Statistics obtained from PositiveSelect were collated with data from international studies to construct a meta-analysis intended to achieve better clinical outcomes. Upon dichotomization, 23% of cases harbored EGFR variants indicating that treating with EGFR TKIs would be beneficial; the remaining 77% exhibited no EGFR variants that would indicate favorable results using specific currently available chemotherapy practices. Similarly, 28% of cases had EGFR+ALK variants favoring EGFR/ALK-based targeted therapeutics; the remaining 72% harbored no EGFR/ALK variants with known beneficial chemotherapy routes. The present study aimed to overcome current inadequacies of targeted therapies in patients with a conventional EGFR/ALK-positive diagnosis and those in EGFR+ALK-negative cohorts. Upon analysis of the negative cohorts, significant and clinically relevant single nucleotide variants were identified in KRAS, ERBB2, MET and RET, with frequencies of 7, 1, 2 and 3% in patients who were EGFR-negative and 6, 1, 1, and 3% in patients who were EGFR and ALK-negative, respectively, enabling the use of targeted therapeutics aside from EGFR/ALK TKIs. From the results of the current study only 35% of the two negative arms (EGFR negative and EGFR+ALK negative) would be recommended NCCN or off-label chemotherapy; prior to the current study, the entire cohorts would have been recommended this treatment. The present study emphasizes the potential of comprehensive genomics in identifying hallmarks of lung cancer beyond EGFR/ALK, using broad-spectrum genetic testing and data-sharing among medical professionals to circumvent ineffective chemotherapy.

Catechins (flavan-3-ol) are a type of natural phenol and well-studied antioxidants. Catechin hydrate, also known as taxifolin; is non-mutagenic, low in toxicity compared to other immunomodulator antioxidants. We aimed to determine the potential of catechin hydrate to prevent the cyto-genotoxic effects of cadmium in lymphocytes; demonstrate the immuno-protective activity of catechin hydrate. Our previous study indicated that cadmium is apoptogenic. Lymphocytes were treated with catechin hydrate or cadmium and catechine hydrate combinations (range 0.1–100 μM) to determine their effects on cell viability. Lymphocytes treated with 100 μM catechin hydrate and 100 μM cadmium showed cell viability 70.65 ± 6.92% and 5.69 ± 2.27%, respectively. In our previous study cadmium (10 and 20 μM) induced apoptosis in 31.8% and 44.4% of lymphocytes, respectively. However, the percentage of apoptotic cells after treatment with the combination of cadmium and catechin hydrate was not significantly different from that of catechin hydrate ( P > 0.05). Only 7.3% and 10.5% of the lymphocytes were apoptotic after treatment with 10 μM cadmium + 10 μM catechin hydrate and 20 μM cadmium + 20 μM catechin hydrate, respectively. The anti-geno-cytotoxic and immuno-protective potential of catechin hydrate was also demonstrated by the non-significant expression of apoptosis-related genes after treatment with catechin hydrate.

Incidence of breast cancer shows geographical variation, even within areas of ethnic homogeneity. Saudi Arabia has witnessed an increase in occurrence of breast cancer in its unexplored ethnic populations over the past few years. We aimed at determining whether any association exists between single nucleotide polymorphisms in breast cancer associated gene 1 (BRCA1) and breast cancer associated gene 2 (BRCA2) and the risk of breast cancer. TaqMan based Real Time Polymerase chain reaction genotyping assays were used to determine the frequency of single nucleotide polymorphisms in BRCA1 (rs799917) and BRCA2 (rs144848) in a group of 100 breast cancer patients and unaffected age matched controls of Saudi Arabian origin. The present data revealed that neither BRCA1 nor the BRCA2 studied variant show any significant association with the disease. This study failed to find any role of the concerned variants in breast cancer either as risk or as prognostic factors. The small number of patients registered was one of the limitations of this study. In summary, comparison of mutation profile with other ethnic populations and regions reflected both differences and similarities indicating co-exposure to a unique set of risk factors. The differences could be due to exposure to particular environmental carcinogens; different lifestyle, reproductive pattern; dietary or cultural practices of Saudi Arabian women that need further investigations.

To understand the structural and functional importance of PIK3CA somatic mutations, whole exome sequencing, molecular dynamics simulation techniques in combination with in silico prediction algorithms such as SIFT, PolyPhen, Provean and CADD were employed. Twenty out of eighty missense somatic mutations in PIK3CA gene were found to be pathogenic by all the four algorithms. Most recurrent mutations found were known hotspot PIK3CA mutations with known clinical significance like p.E545 K, p.E545A, p.E545 G and p.C420R. A missense mutation p.G118D was found to be recurrently mutated in 5 cases. Interestingly, this mutation was observed in one of the patients who underwent whole exome sequencing and was completely absent from the controls. To see the effect of this mutation on the structure of PIK3CA protein, molecular dynamics simulation was performed. By molecular dynamics approach, we have shown that p.G118D mutation deviated from the native structure which was supported by the decrease in the number of hydrogen bonds, difference in hydrogen bond distance and angle, difference in root mean square deviation between the native and the mutant structures.

Natural products have become increasingly important in pharmaceutical discoveries, and traditional herbalism has been a pioneering specialty in biomedical science. The search for effective plant-derived anticancer agents has continued to gain momentum in recent years. The present study aimed to investigate the role of crude extracts of the aerial parts of Artemisia absinthium (AA) extract in modulating intracellular signaling mechanisms, in particular its ability to inhibit cell proliferation and promote apoptosis in a human breast carcinoma estrogenic-unresponsive cell line, MDA-MB-231, and an estrogenic-responsive cell line, MCF-7. Cells were incubated with various concentrations of AA, and anti-proliferative activity was assessed by MTT assays, fluorescence microscopy after propidium iodide staining, western blotting and cell cycle analysis. Cell survival assays indicated that AA was cytotoxic to both MDA-MB-231 and MCF-7 cells. The morphological features typical of nucleic staining and the accumulation of sub-G1 peak revealed that the extract triggered apoptosis. Treatment with 25 μg/mL AA resulted in activation of caspase-7 and upregulation of Bad in MCF-7 cells, while exposure to 20 μg/mL AA induced upregulation of Bcl-2 protein in a time-dependent response in MDA-MB-231 cells. Both MEK1/2 and ERK1/2 was inactivated in both cell lines after AA treatment in a time-dependent manner. These results suggest that AA-induced anti-proliferative effects on human breast cancer cells could possibly trigger apoptosis in both cell lines through the modulation of Bcl-2 family proteins and the MEK/ERK pathway. This might lead to its possible development as a therapeutic agent for breast cancer following further investigations.

To gain insight into the possible origin of the hemagglutinin of 2009 outbreak, we performed its comparative analysis with hemagglutinin of influenza viral strains from 2005 to 2008 and the past pandemics of 1977, 1968, 1957 and 1918. This insilico analysis showed a maximum sequence similarity between 2009 and 1918 pandemics. Primary structure analysis, antigenic and glycosylation site analyses revealed that this protein has evolved from 1918 pandemic. Phylogenetic analysis of HA amino acid sequence of 2009 influenza A(H1N1) viruses indicated that this virus possesses a distinctive evolutionary trait with 1918 influenza A virus. Although the disordered sequences are different among all the isolates, the disordered positions and sequences between 2009 and 1918 isolates show a greater similarity. Thus these analyses contribute to the evidence of the evolution of 2009 pandemic from 1918 influenza pandemic. This is the first computational evolutionary analysis of HA protein of 2009 H1N1 pandemic.

Breast cancer is the most common oncological disease in women worldwide. Genetic predisposition to breast cancer can be associated with single-nucleotide polymorphisms (SNPs), which are observed in many women. Such gene polymorphisms, in combination with nutritional and environmental factors, can affect breast cancer development. The tumor suppressor TP53 and its negative regulator MDM2 play crucial roles in carcinogenesis. Previous case-control studies have revealed that TP53 72Arg > Pro and MDM2 309T > G polymorphisms contribute to the risk of common cancers. However, the relationship between these two functional polymorphisms and breast cancer susceptibility in the Saudi population has not been explored. In this study, we performed a case-control study of patients with breast cancer and healthy controls in a Saudi population using TaqMan-based real-time PCR. We found an increased breast cancer risk associated with the MDM2 GG [odds ratio (OR) = 2.79, 95% confidence interval (CI) = 2.04-3.92] and TG [OR = 1.43, 95% CI = 1.12-2.02] genotypes. An increased risk was also associated with the TP53 Pro/Pro genotype (OR = 2.19, 95% CI = 1.54-3.06) compared with the Arg/Arg genotype. The gene-gene interaction of MDM2 and TP53 polymorphisms increased breast cancer risk in a multiplicative manner (OR for the presence of both MDM2 GG and TP53 Pro/Pro genotypes = 7.71, 95% CI = 3.49-17.54). These findings suggest that polymorphisms of MDM2 and TP53 genes may be a genetic modifier for developing breast cancer in this ethnic population in the Arab world.

We report a case of a 67-year-old man with pazopanib-resistant metastatic renal cell carcinoma (mRCC) who showed an exceptional response to everolimus. Furthermore, this patient had TSC1 and TSC2 mutations. Only a subset of patients with mRCC respond to mTOR inhibitors and emerging evidences indicate that TSC1 and TSC2 mutations could be markers of response to mTOR inhibition. The current case study supports these accruing evidences.

Background and purpose: There is increasing evidence that the genetic variation in the genes coding for pro-inflammatory markers and matrix metalloproteinase may play an important role in the pathogenesis of various human diseases including stroke. The aim of this study was to evaluate the association of genetic variants within the genes encoding tumor necrosis factor-α (TNF-α) and matrix metalloproteinase-3 (MMP-3), with stroke. Methods: Five hundred and twenty-five ischemic stroke patients and 500 age- and sex-matched controls were included in this study. We analyzed +488 G/A polymorphism in TNF-α gene and −1612 5A/6A polymorphism in MMP-3 gene. The genotypes were determined by Amplification Refractory Mutation System PCR. The strength of association between genotypes and stroke was measured by the odds ratio with 95% confidence interval (CI) and chi-squared analysis. Results: Allelic and genotypic frequencies of TNF-α G/A polymorphism differed significantly between patients and healthy controls (P

Stroke is a complex disease caused by combination of multiple risk factors. Recent findings have suggested that stroke has a significant genetic component. Various types of genetic polymorphisms have been suggested to contribute to the risk of stroke. Gene polymorphisms of renin-angiontensin aldosterone system (RAAS) have been suggested to be risk factors for hypertension, cardiovascular diseases and stroke. In the present case-control study we investigated the association of -344C/T (rs1799998) [corrected] polymorphism in the promoter region of the human aldosterone (CYP11B2) gene with genetic predisposition to hypertension, ischemic stroke and stroke subtypes classified according to TOAST (Trial of Org 10172 in Acute Stroke Treatment) classification. Four hundred and three stroke patients (hypertensives:normotensives=219:184) and three hundred and ninety four, sex and age matched healthy controls (hypertensives:normotensives=118:276) were involved in the study. The region of interest in the CYP11B2 gene was amplified by polymerase chain reaction and genotypes determined by subjecting the PCR products to restriction digestion by the enzyme HaeIII. Significant difference was observed in the genotypic distribution and allelic frequency between the stroke patients and healthy controls. TT genotype and T allele associated significantly with hypertension and stroke (p

Background Nigella Sativa (NS) is an herb from the Ranunculaceae family that exhibits numerous medicinal properties and has been used as important constituent of many complementary and alternative medicines (CAMs). The ability of NS to kill cancer cells such as PC3, HeLa and hepatoma cells is well established. However, our understanding of the mode of death caused by NS remains nebulous. The objective of this study was to gain further insight into the mode and mechanism of death caused by NS in breast cancer MCF-7 cells. Materials and methods Human breast cancer cells (MCF-7) were treated with a methanolic extract of NS, and a dose- and time-dependent study was performed. The IC50 was calculated using a Cell Titer Blue® viability assay assay, and evidence for DNA fragmentation was obtained by fluorescence microscopy TUNEL assay. Gene expression was also profiled for a number of apoptosis-related genes (Caspase-3, -8, -9 and p53 genes) through qPCR. Results The IC50 of MCF-7 cells was 62.8 μL/mL. When MCF-7 cells were exposed to 50 μL/mL and 100 μL/mL NS for 24 h, 48 h and 72 h, microscopic examination (TUNEL assay) revealed a dose- and time-dependent increase in apoptosis. Similarly, the expression of the Caspase-3, -8, -9 and p53 genes increased significantly according to the dose and time. Conclusions NS induced apoptosis in MCF-7 cells through both the p53 and caspase pathways. NS could potentially represent an alternative source of medicine for breast cancer therapy.

Background The hemoglobinopathies are a very heterogeneous group of congenital hemolytic anemias. They include thalassemias, hemoglobin variants and hereditary persistence of fetal hemoglobin. β-thalassemia is the most common monogenic disorder in India. Molecular characterization of this disease has revealed an extremely heterogeneous picture. Methods 1592 blood samples from suspected cases were studied using high performance liquid chromatography, amplification refractory mutation system polymerase chain reaction and reverse dot blot techniques. Results Out of 1592 cases, we found 119 cases of β-thalassemia major, and 347 cases of β-thalassemia trait. In addition to this, cases with structural variants like sickle cell anemia, sickle cell trait, D-thalassemia (Hb DD), E-thalassemia (Hb EE), double heterozygotes and the hereditary persistence of fetal hemoglobin were also found. Molecular analysis revealed the presence of different β-thalassemia mutations in the population under study. Conclusions Molecular analysis revealed that IVS1-5(G–C) and 619 bp deletion are the most common mutations in the population under study. The knowledge about the frequency of predominant mutations in the present population helps in offering prenatal diagnosis to the families having fetus at risk.

Breast cancer is the second most common cancer in females that accounts for the highest cancer-specific deaths worldwide. Although recent advances in clinical management significantly reduced the mortality rate in breast cancer patients, the success rate of the effective therapy remains largely dependent on early detection. It has been demonstrated that gene expression profile may be a useful tool to define the signature of breast cancer as well as to predict the prognosis or response to treatment. The microRNA expression profile is gaining lots of attention to define various types of cancers since they play critical roles in many different cellular processes including metabolism, apoptosis, differentiation, and development. Several studies have shown that microRNA’s signatures are associated with the staging, progression, and response to treatment in breast cancer. In addition to this microRNA has been shown to act as oncogenes and tumor suppressor genes.

Trigonella foenum in graecum (Fenugreek) is a traditional herbal plant used to treat disorders like diabetes, high cholesterol, wounds, inflammation, gastrointestinal ailments, and it is believed to have anti-tumor properties, although the mechanisms for the activity remain to be elucidated. In this study, we prepared a methanol extract from Fenugreek whole plants and investigated the mechanism involved in its growth-inhibitory effect on MCF- 7 human breast cancer cells. Apoptosis of MCF-7 cells was evidenced by investigating trypan blue exclusion, TUNEL and Caspase 3, 8, 9, p53, FADD, Bax and Bak by real-time PCR assays inducing activities, in the presence of FME at 65 μg/mL for 24 and 48 hours. FME induced apoptosis was mediated by the death receptor pathway as demonstrated by the increased level of Fas receptor expression after FME treatment. However, such change was found to be absent in Caspase 3, 8, 9, p53, FADD, Bax and Bak, which was confirmed by a time-dependent and dose-dependent manner. In summary, these data demonstrate that at least 90% of FME induced apoptosis in breast cell is mediated by Fas receptor-independently of either FADD, Caspase 8 or 3, as well as p53 interdependently.

Cadmium (Cd) is a major pollutant of environment. It can be fatal to human. In spite of bulk of research and literatures, the mechanism of a fatality against human is still not understood completely. Toxic and carcinogenic effects of Cd in rodents and humans are well known. However, effects of Cd on induction of apoptosis are still elusive. This study indicates immunosuppression and immunotoxicity due to Cd exposure. Present study was undertaken to determine the mechanism of cell death in vitro in human peripheral blood lymphocytes induced by Cd. Our findings suggest the toxicity due to Cd is attributed to programmed cell death-apoptosis. IC₅₀ was calculated at 21.74 μM. A significant increase of expression of the pro-apoptotic genep53, Fas and Caspase-3 in human lymphocytes was found. Cd induced p53-dependent apoptosis through cooperation between Bak upregulation without changing the Bcl-2 and Bax expression. Data of this study compel to speculate that apoptosis may also be attributed to CD95/Fas complex formation, and p53 direct apoptogenic potential at mitochondria. It was confirmed by the increased expression of Caspase-3. Although, this work does not address all the questions regarding the mechanism of Cd induced apoptosis, but these findings establish an important role of p53 and mitochondrial function during apoptosis in human lymphocyte. Moreover, based upon our findings, the role of Fas in Cd induced apoptosis is also undeniable. Hence further investigations are required to understand the different mechanism involved into apoptosis of lymphocytes due to Cd exposure.

Nigella sativa (NS), also known as black cumin, has long been used in traditional medicine for treating various cancer conditions. In this study, we sought to investigate the potential anti-cancer effects of NS extract using SiHa human cervical cancer cells. NS showed an 88.3% inhibition of proliferation of SiHa human cervical cancer cells at a concentration of 125 microL/mL methanolic extract at 24 h, and an IC50 value 93.2 microL/mL. NS exposure increased the expression of caspase-3, -8 and -9 several-fold. The analysis of apoptosis by Dead End terminal transferase-mediated dUTP-digoxigenin end labeling (TUNEL) assay was used to further confirm that NS induced apoptosis. Thus, NS was concluded to induce apoptosis in SiHa cell through both p53 and caspases activation. NS could potentially be an alternative source of medicine for cervical cancer therapy.

Luminescent functionalized mesoporous SiO2@Eu(OH)3 core-shell microspheres (LFMCSMs) were prepared by coating of europium hydroxide (Eu(OH)3) shell on mesoporous silica (SiO2) nanospheres via a facile one-pot process at low temperature. The FETEM images revealed that a well-defined luminescent europium hydroxide shell was successfully grafted on the surface of mesoporous silica nanospheres. These experimental results showed that the LFMCSM has a typical diameter of ca. 392 nm consisting of the silica core with about 230 nm in diameter and europium hydroxide shell with an average thickness of about 162 nm. LFMCSMs exhibited strong red emission peak upon irradiation with ultraviolet light, which originated from the electric-dipole transition 5 D0 → 7 F2 (614 nm) of Eu 3+ ion. The biocompatibility of the synthesized LFMCSMs was evaluated in vitro by assessing their cytotoxic and genotoxic effect on human hepatoblastoma (HepG2) cells using MTT, TUNEL, fluorescent staining, DNA ladder and Gene expression assays respectively. From the Clinical Editor: This paper describes the development of a one-pot synthesis of luminescent mesoporous SiO2@Eu(OH)3 coreshell microspheres and evaluates their favorable in vitro cyto-toxicity and geno-toxicity, and their applications in bio-imaging of these particles that emit bright red signal under UV exposure.

Chemotherapy has been used widely to treat cancer, both as a systemic therapy and as a local treatment. Unfortunately, many types of cancer are still refractory to chemotherapy. The mechanisms of anticancer drug resistance have been extensively explored but have not been fully characterized. This study analyzed the occurrences of polymorphism (SNP) in the MDR1 gene in breast cancer patients and determined a possible association with chemotherapy. The study group included one hundred breast carcinoma patients who subsequently received chemotherapy (the regimen generally consisted of commonly used drugs such as cyclophosphamide, adriamycin, 5-fluorouracil, docetaxel and their combinations). Blood samples from 100 healthy individuals are used, as controls were also genotyped for the MDR1 gene. This investigation revealed a significant correlation with response to various regimens of chemotherapy showing a low response to therapy with the CT/TT genotype at (exon 12) 1236 codon (p0.001). These findings demonstrate, for the first time, that the polymorphisms in (exon 12) 1236 codon of the MDR1 gene greatly influence the drug response in patients from the Arab population of Saudi Arabia.

Aim: Breast cancer is leading cause of cancer deaths in women, globally. Recently a study on a Chinese population suggested that there is a protective role of rs11655505 (c.-2265 C/T) in the BRCA1 promoter whereas, the same in Caucasian population showed no effect on breast cancer prevalence. This study was undertaken to find out, if there is any association between rs11655505 (c.-2265 C/T) and breast cancer in an Indian population. Methodology: Blood samples were collected from 352 female breast cancer patients and 380 healthy women of age range 18-68 years. DNA was extracted from blood through standard salting out procedure. All the DNA samples were genotyped by using TaqMan® SNP Genotyping Assays. Data obtained was analyzed statistically to find out the possible association between the variation and predisposition of breast cancer Results: No association was found between rs11655505 and breast cancer occurrences in familial (p=0.61), non-familial (p=0.45) and premenopausal patients Research Article British Journal of Medicine & Medical Research, 3(1): 153-161, 2013 154 (p=0.52) groups. Menopausal group had a significant association (p=0.01) with studied SNP. Conclusion: Present study failed to confirm an association between of rs11655505 and breast cancer. Larger studies are required to consolidate if there is any little association of rs11655505 with breast cancer risk.

Breast cancer is the most common cancer and the main cause of cancer morbidity for women worldwide and is manifestation of abnormal genetic as well as epigenetic changes. Therefore, our aim was to study the association of BRCA1 promoter methylation with rs11655505 (c.-2265C/T) variants and gene expression in sporadic breast cancer.Twenty-nine sporadic breast cancer tissues and 26 normal biopsies were used for this study. Genomic DNA and total RNA were extracted from paraffin-embedded tissue and SNP analysis performed. Methylation status of the BRCA1 promoter region was determined by methylation-specific PCR after sodium bisulfite modification of DNA.Among all clinical-pathological parameters only estrogen receptor -ve and +ve samples were significantly different for methylation status (P = 0.04). The genotypic (CC, CT and TT), allelic frequencies and methylation status had not been found to be significantly different from that of healthy controls (P = 0.67, 0.71 and 0.17, respectively). Similarly, methylated BRCA1 promoter was not found to be significantly different in different genotypes from unmethylated promoters between patients and controls. Interestingly, only heterozygous (CT) genotypes with low and normal expression of BRCA1 were significantly different for the differential expression of BRCA1 compared to controls (P = 0.004). However, in tumor samples decreased expression of gene is associated with methylated state of BRCA1 promoter [OR (95 % CI) = 25.09 (2.17-29.75); P = 0.01].Our data suggest that both single nucleotide variations rs11655505 (c.-2265C/T) and the methylation status of BRCA1 are not associated significantly with the occurrence of sporadic breast cancer in studied population. However, decreased expression of gene is associated with the CT genotypes and the disease. But, in case of tumor samples, an association of methylation of the promoter to the decreased expression of BRCA1 gene suggests the possible role of methylation in gene silencing.

DNA methylation is an enzymatic modification carried out by DNA methyltransferases. Alterations in DNA methylation patterns are the best understood epigenetic cause of disease and were first discovered in studies during the 1980s that focused on X chromosome inactivation (Avner and Heard 2001), genomic imprinting (Verona et al. 2006) and cancer (Feinberg and Tycko 2004). DNA methylation involves the addition of a methyl group to cytosines in CpG (cytosine/guanine) pairs (Ehrlich and Wang 1981, Laird and Jaenisch 1994). The added methyl group does not affect the base pairing itself, but the protrusion of methyl groups into the DNA major groove can affect DNA–protein interactions. Methylated CpGs are usually associated with silenced DNA, can block methylation sensitive proteins from binding to the DNA and are subject to high mutation rates. DNA methylation patterns are established and maintained by DNMTs, enzymes that are essential for proper gene expression patterns (Robertson 2002) (Figure 1). DNA methylation is an essential epigenetic

With the increased use of plant-based cancer chemotherapy, exploring the antiproliferative effects of phytochemicals for anticancer drug design has gained considerable attention worldwide. This study was undertaken to investigate the effect of walnut green husk extracts on cell proliferation and to determine the possible molecular mechanism of extract-induced cell death by quantifying the expression of Bcl-2, Bax, caspases-3, and Tp53. PC-3 human prostate cancer cells. In this study, we found that green husk extracts suppressed proliferation and induced apoptosis in a dose- and time-dependent manner by modulating expression of apoptosis-related genes. This involved DNA fragmentation (determined by TUNEL assay) and significant changes in levels of mRNA and the expression of corresponding proteins. An increase in expressions ofBax, caspase-3, andtp53genes and their corresponding proteins was detected using real-time PCR and western blot analysis in PC-3 cells treated with the green husk organic extracts. In contrast, Bcl2 expression was downregulated after exposure to the extracts. Our data suggest the presence of bioactive compound(s) in walnut green husks that are capable of killing prostate carcinoma cells by inducing apoptosis and that the husks are a candidate source of anticancer drugs.

Dietary phytochemicals have a variety of antitumor properties. In the present study, the antitumor activity of methanolic extract of lemon fruit (lemon extract; LE) (LE) on the MCF-7 breast cancer cell line was investigated in vitro. Apoptotic cell death was analyzed using the TUNEL assay. In addition, the apoptosis mediated by LE extract in the MCF-7 cells was associated with the increased expression of the tumor suppressor p53 and caspase-3. Additionally, the expression of a pro-apoptotic gene, bax, was increased, and the expression of an anti-apoptotic gene, bcl-2, was decreased by LE extract treatment, resulting in a shift in the Bax:Bcl-2 ratio to one that favored apoptosis. The expression of a major apoptotic gene, caspase-3, was increased by LE extract treatment. In light of the above results, we concluded that LE extract can induce the apoptosis of MCF-7 breast cancer cells via Bax-related caspase-3 activation. This study provides experimental data that are relevant to the possible future clinical use of LE to treat breast cancer.

Aristolochia manshuriensis has been used for centuries in Chinese medicinal system for their versatile medicinal uses. Recent studies have revealed two new aristolactames (compound A and B) with γ-lactame ring fused with the phenentherene ring as potent inhibitors of human Cycline Dependent Kinase2 (CDK2). Studies on aristolactames and related compounds claim for their CDK2 inhibition without delineating the involved mechanism and structural basis of interaction. Molecular structural model was used to we propose a structural basis of CDK2 inhibition. We showed that these compounds (A and B) can successfully dock into the inhibitor binding pockets of human CDK2. Predicted binding affinities are comparable to known inhibitors of CDK2. Results were in agreement with the earlier biochemical studies. Hence, suggest that studied compounds A and B can be a promising scaffold for rational design of novel and potential drugs against cancer. Abbreviations CDK2 - cyclin-dependent kinase 2, OLO - Olomoucine, NW1 - Cyclohexylmethyloxy-5-Nitroso-Pyrimidine- 2, 4-Diamine, CMG - 6-O-Cyclohexylmethyl Guanine.

Breast cancer is the most common oncological disease in women worldwide. Genetic predisposition to breast cancer can be associated with single-nucleotide polymorphisms (SNPs), which are observed in many women. Such gene polymorphisms, in combination with nutritional and environmental factors, can affect breast cancer development. The tumor suppressor TP53 and its negative regulator MDM2 play crucial roles in carcinogenesis. Previous case-control studies have revealed that TP53 72ArgPro and MDM2 309TG polymorphisms contribute to the risk of common cancers. However, the relationship between these two functional polymorphisms and breast cancer susceptibility in the Saudi population has not been explored. In this study, we performed a case-control study of patients with breast cancer and healthy controls in a Saudi population using TaqMan-based real-time PCR. We found an increased breast cancer risk associated with the MDM2 GG [odds ratio (OR) = 2.79, 95% confidence interval (CI) = 2.04-3.92] and TG [OR = 1.43, 95% CI = 1.12-2.02] genotypes. An increased risk was also associated with the TP53 Pro/Pro genotype (OR = 2.19, 95% CI = 1.54-3.06) compared with the Arg/Arg genotype. The gene-gene interaction of MDM2 and TP53 polymorphisms increased breast cancer risk in a multiplicative manner (OR for the presence of both MDM2 GG and TP53 Pro/Pro genotypes = 7.71, 95% CI = 3.49-17.54). These findings suggest that polymorphisms of MDM2 and TP53 genes may be a genetic modifier for developing breast cancer in this ethnic population in the Arab world.

Genetic variants of cytochrome P450 4F2 (CYP4F2) gene have been suggested to be risk factors for hypertension, cardiovascular diseases and stroke. In the present case–control study we investigated the association of 1347 G/A polymorphism (rs2108622) in the 11th exon region of CYP4F2 gene with hypertension, ischemic stroke and stroke subtypes classified according to TOAST (Trial of Org 10172 in Acute Stroke Treatment) classification. Five hundred and seven stroke patients (hypertensives: normotensives = 279:228) and four hundred and eighty seven, age and sex matched controls (males: females = 356:131) (hypertensives: normotensives = 148:339) were involved in the study. The genotypes were determined by PCR-RFLP technique. Genotypes were confirmed by subjecting the PCR products to sequencing. Significant difference was observed in the genotypic distribution and allelic frequency between the stroke patients and healthy controls. AA genotype and A allele associated significantly with stroke and hypertension [P = 0.009; OR = 1.59 (95% CI = 1.119–2.283) and P = 0.010; OR = 1.26 (95% CI = 1.056–1.502); P = 0.01; OR = 1.58 (95% CI = 1.11–2.272) and P = 0.010; OR = 1.25(95% CI = 1.054–1.504) respectively]. A stepwise logistic regression analysis confirmed these findings. To establish that this polymorphism is associated with stroke independent of hypertension; we compared stroke patients without hypertension with normotensive controls. Significant difference was observed in genotypic distribution and allelic frequency between the two groups (P = 0.001 and 0.002 respectively). Evaluating the association of this polymorphism with stroke subtypes we found significant associations with cardioembolic stroke (P

A class of small, non-coding transcripts called microRNAs (miRNAs) that play a major role in post-transcriptional gene regulation has recently emerged and become the focus of intense research. MicroRNAs are abundant in the nervous system, where they have key roles in development and are likely to be important mediators of plasticity. A highly conserved pathway of miRNA biogenesis is closely linked to the transport and translatability of mRNAs in neurons. MicroRNAs have been shown to modulate programmed cell death during development. Although there are nearly 750 known human miRNA sequences, each of only approximately 20-25 nucleotides in length that bind to multiple mRNA targets, the accurate prediction of miRNA targets seems to lie just beyond our grasp. Nevertheless, the identification of such targets promises to provide new insights into many facets of neuronal function. In this review, we briefly describe miRNA biogenesis and the principle approaches for studying the function of miRNAs and potential application of miRNAs as biomarkers, diagnostic targets, and potential therapeutic tools of human diseases in general and neurological disorders in particular.

Ischemic stroke is a leading cause of death throughout the world. An increasing number of studies have suggested that genetic factors are important in the stroke risk. The aim of our study was to investigate whether the Variable Number of Tandem Repeats (VNTR) polymorphism in intron 4 of the endothelial nitric oxide synthase (eNOS) gene is associated with ischemic stroke in a South Indian population. 357 patients and 283 controls were enrolled in this case–control study. The ischemic stroke patients were classified according to TOAST classification. The eNOS gene polymorphism was determined by polymerase chain reaction–polyacrylamide gel electrophoresis. The genotypes were confirmed by sequencing the PCR products. There were significant differences in the genotype and allele frequencies of eNOS polymorphism between the patients with ischemic stroke and healthy controls ( p = 0.000). Multiple logistic regression analysis with forward stepwise selection using the potential confounders (sex, age, diabetes, hypertension, smoking and alcoholism) and eNOS gene variant revealed that the VNTR polymorphism in intron 4 of the eNOS gene is significantly [adjusted odds ratio = 6.23, 95%CI (4.30–9.29), p = 0.000] associated with ischemic stroke in the South Indian population from Andhra Pradesh. We did not find significant association of this polymorphism with any specific stroke subtype. Further hypertensives bearing 4a allele in high frequency are more predisposed to stroke.

Nowadays, the quality of any food used for human consumption is, to a considerable extent, considered by its possible contribution to the maintenance or improvement of the consumer's health. In developed countries there is increasing interest in goat milk and its derivates, the quality of which is considered of special importance in the light of current tendencies favouring healthy eating. In particular, goat's milk is a hypoallergenic alternative to cow's milk in the human diet. In the present work, we studied the casein alpha S1 and S2 proteins of cow, goat and sheep for comparative analysis. We found that the amino acid sequence of these proteins is almost same in goat and sheep but there are several changes at different base pairs when these two sequences are compared with cow. Prediction of secondary structures (GOR) was performed for alpha s1 and s2 proteins to gain functional insights. Our in silico study revealed considerable identity in chemical properties between goat and sheep but a considerable dissimilarity in cow with goat and sheep casein proteins. Moreover, the effect amino acid change on secondary structures in the three species is discussed. There was no significant difference found between goat and sheep alpha S1 and S2 proteins, so naturally both will be having same properties. The study concludes that sheep milk is another convenient alternative for the cow milk allergic children.