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Background: Growth retardation, malnutrition, and failure to thrive are some of the consequences associated with congenital heart diseases. Several metabolic factors such as hypoxia, anoxia, and several genetic factors are believed to alter the energetics of the heart. Timely diagnosis and patient management is one of the major challenges faced by the clinicians in understanding the disease and provide better treatment options. Metabolic profiling has shown to be potential diagnostic tool to understand the disease. Objective: The present experiment was designed as a single center observational pilot study to classify and create diagnostic metabolic signatures associated with the energetics of congenital heart disease in cyanotic and acyanotic groups. Methods: Metabolic sera profiles were obtained from 35 patients with cyanotic congenital heart disease (TOF) and 23 patients with acyanotic congenital heart disease (ASD and VSD) using high resolution 1D 1H NMR spectra. Univariate and multivariate statistical analysis were performed to classify particular metabolic disorders associated with cyanotic and acyanotic heart disease. Results: The results show dysregulations in several metabolites in cyanotic CHD patients versus acyanotic CHD patients. The discriminatory metabolites were further analyzed with area under receiver operating characteristic (AUROC) curve and identified four metabolic entities (i.e. mannose, hydroxyacetone, myoinositol, and creatinine) which could differentiate cyanotic CHDs from acyanotic CHDs with higher specificity. Conclusion: An untargeted metabolic approach proved to be helpful for the detection and distinction of disease-causing metabolites in cyanotic patients from acyanotic ones and can be useful for designing better and personalized treatment protocol.

Congenital heart disease (CHD) is one of the most important causes of the death of children and young adults. Most of the patients do not survive past their teen years. This occurs either due to delay in diagnosis or no diagnosis at all. In recent times, several studies have shown the importance of biomarkers in the prediction of such defects. These biomarkers give the real time snapshot of the on going processes inside the cells and can significantly support the diagnosis of CHD. The present experiment was designed as an observational single centre pilot study to identify and establish the diagnostic metabolic signatures associated with the congenital heart diseases. Metabolic profiles of sera collected from 35 cyanotic congenital heart disease patients and 15 controls were obtained using high-resolution 1D 1H CPMG and NMR spectra. The metabolic profiles were compared using multivariate statistical analysis to identify the disease specific metabolic disturbances associated with cyanotic heart disease. The results show perturbation in several metabolites in cyanotic CHD patients versus controls. The discriminatory metabolites were further analysedwith area under receiver operating characteristic (AUROC) curve and identified five metabolic entities (i.e.valine, glucose, glutamine, creatinineand PUFA) which could differentiate cyanotic CHDs from controls with higher specificity.In conclusion, untargeted metabolic approach proved to be helpful in identifying and differentiating disease causing metabolites in cyanotic cases from controls.

The α-actin mutation G15R in the nucleotide-binding pocket of skeletal muscle, causes severe actin myopathy in human skeletal muscles. Expressed in cultured embryonic quail skeletal myotubes, YFP-G15R-α-actin incorporates in sarcomeres in a pattern indistinguishable from wildtype YFP-α-actin. However, patches of YFP-G15R-α-actin form, resembling those in patients. Analyses with FRAP of incorporation of YFP-G15R-α-actin showed major differences between fast-exchanging plus ends of overlapping actin filaments in Z-bands, versus slow exchanging ends of overlapping thin filaments in the middle of sarcomeres. Wildtype skeletal muscle YFP-α-actin shows a faster rate of incorporation at plus ends of F-actin than at their minus ends. Incorporation of YFP-G15R-α-actin molecules is reduced at plus ends, increased at minus ends. The same relationship of wildtype YFP-α-actin incorporation is seen in myofibrils treated with cytochalasin-D: decreased dynamics at plus ends, increased dynamics at minus ends, and F-actin aggregates. Speculation: imbalance of normal polarized assembly of F-actin creates excess monomers that form F-actin aggregates. Two other severe skeletal muscle YFP-α-actin mutations (H40Y and V163L) not in the nucleotide pocket do not affect actin dynamics, and lack F-actin aggregates. These results indicate that normal α-actin plus and minus end dynamics are needed to maintain actin filament stability, and avoid F-actin patches.

Gallbladder cancer (GBC) is an aggressive malignancy of the biliary tract. It is asymptomatic in its early stages, and often, characterized by a poor prognosis and worse treatment response. Distribution of GBC shows both geographical as well as ethnic variations. Several studies have elucidated the differential gene expression profile between the normal gallbladder and GBCs, with varied but inconsistent results. Thus, a deep understanding of the expression profile of GBC might aid in the identification of potential biomarkers, which would further help in better disease management and appropriate therapy selection. This review summarizes studies on the transcriptomic profile of GBC with emphasis on studies pertaining to coding (mRNA) and noncoding (micro and long noncoding) RNA along with aberrant promoter methylation studies, ranging from a single gene to global gene to high throughput RNA sequencing approaches, published between 2000 to May, 2019. In addition, data mining of GBC from the available public functional genomics data repository at Gene Expression Omnibus has been done to rule out potentially important dysregulated genes in this malignancy. To the best of our knowledge, this is the first article to shed light on the RNA based gene regulatory network(s) along with bioinformatic analysis. Moreover, this review represents major research challenges and ambiguity, knowledge of which is a must for establishing molecular/ clinical biomarkers for early GBC diagnosis, management, and treatment protocols.

The CYP4F2 gene is known to influence mean coumarin dose. The aim of the present study was to undertake a meta-analysis at individual patients' level to capture the possible effect of ethnicity, gene-gene interaction or other drugs on the association and to verify if inclusion of CYP4F2*3 variant into dosing algorithms improves the prediction of mean coumarin dose. We asked the authors of our previous meta-analysis (30 articles) and of 38 new articles retrieved by a systematic review to send us individual patients' data. The final collection consists 15,754 patients split into a derivation and validation cohort. The CYP4F2*3 polymorphism was consistently associated with an increase in mean coumarin dose (+9% (95%CI 7-10%), with a higher effect in females, in patients taking acenocoumarol and in Whites. The inclusion of the CYP4F2*3 in dosing algorithms slightly improved the prediction of stable coumarin dose. New pharmacogenetic equations potentially useful for clinical practice were derived. This article is protected by copyright. All rights reserved.

Background: The majority of patients with high-risk neuroblastoma (HR-NB) in low- and middle-income countries (LMIC) do not have access to autologous stem cell transplant (ASCT) and dinutuximab. Consolidation with non-myeloablative chemotherapy is not well-defined, and the outcomes are variable. We report a single-center outcome of patients with HR-NB, treated with non-myeloablative consolidation. A tabulated compilation of similar reports is included. Procedure: A retrospective chart review of patients with HR-NB was performed from January 2009 till June 2016. Patients were treated on the backbone of HR-NBL1/SIOPEN protocol. Treatment included induction with rapid-COJEC, surgery, consolidation, radiotherapy to the primary tumor, and differentiation therapy with isotretinoin. Consolidation included 4 cycles of topotecan, vincristine, and doxorubicin (TVD) instead of ASCT. Infusion of vincristine and doxorubicin were modified for ease and to enable administration in daycare. Results: Over 7-½ years, 28 patients with HR-NB were treated. Two (7%) patients had therapy-related mortality. A relapse or disease progression occurred in 11 (39%) patients at a median duration of 17 months (IQR: 5, 18). Treatment abandonment was observed in 4 (14%) patients. The 4-year event-free survival was 29.3%. The median follow up of disease-free patients is 49 months (IQR: 45, 79). Patients with relapse were not treated further. Conclusions: A 4-year EFS of 29.3% was observed when 4-cycles of TVD were administered instead of ASCT in patients with HR-NB. The study and the review will aid stakeholders in LMIC for decision-making while considering the options of treatment for HR-NB if access to ACST and dinutuximab is lacking.

Gallbladder cancer (GBC) is a rare malignancy of biliary tract cancer (BTC), characterized by late presentation and poor prognosis. It exhibits wide geographical as well as ethnical variations. So, diverse epidemiology along with etiological factors have been discussed in the current article. Present review unravels the germ line polymorphisms contributing to GBC susceptibility through candidate gene approach and GWAS. GBC is enriched with multiple mutations consisting of both passenger and driver mutations. The identification of the hotspot driver mutations which are involved in the etiopathogenesis of this cancer is necessary, before targeted therapies could be implemented clinically. Thus, this review sheds lights on both traditional low throughput methods along with high throughput NGS used to determine somatic mutations in cancer. With the advent of GWAS and high throughput sequencing methods, it is possible to comprehend the mutational landscape of this enigmatic disease. This article is the first one to provide insights into the genetic heterogeneity of GBC along with somatic mutational data from Catalogue of Somatic Mutations in Cancer (COSMIC) database. In addition, management of tumor heterogeneity as a therapeutic challenge has been discussed. Future goals involve liquid biopsy based research for better clinical management of the disease. Therefore, research efforts involving discovery of non- invasive markers for early stage cancer detection along with novel therapies should be directed.

Gallbladder carcinoma (GBC) is one of the common malignancy of the biliary tract. Several genome wide and candidate gene studies have reported associations between multiple cancer types and single-nucleotide polymorphisms on 5p15.33 and 8q24.21 loci. However, predisposition potential of these genetic variants has not been assessed in GBC. We performed the present study to assess the potential of five polymorphisms on 5p15.33 and one on 8q24.21 locus in GBC risk and treatment response in patients undergoing chemoradiotherapy. We extracted genomic DNA from peripheral blood and genotyped selected SNPs using TaqMan allelic discrimination assays in 523 GBC cases and 274 controls from the north-Indian population. Statistical tests were performed to assess the association of selected common genetic variants with gallbladder cancer susceptibility and prognosis. Binary logistic regression analysis showed significant association of TERT rs2736100C > A [OR(CI) = 0.690(0.515–0.924), p value = 0.013], CLPTM1L rs401681C > T [OR(CI) = 0.586(0.405–0.847), p value = 0.004], and CASC8 rs6983267G > T [OR(CI) = 1.629(1.215–2.186), p value = 0.001] with GBC risk. Further, using multivariate logistic regression, we observed that haplotype CLPTM1L Crs401681Crs31489 TERT Trs2853676Ars2736100 MIR4457 Grs4635969 [OR(CI) = 7.52 (1.79–31.52), p value = 0.0064] is significantly associated with poor treatment response. In survival analysis, Kaplan–Meier survival curves showed significantly poor survival and COX regression suggested significantly higher hazard ratio in TT genotype carriers of CASC8 rs6983267 [OR(CI) = 4.28(1. 07–17.10), p value = 0.040] as compared to major allele and heterozygous (GG+GT) genotypes in metastatic GBC cases. The study revealed that 5p15.33 and 8q24.21 genetic variants significantly influence GBC risk and treatment response in north-Indian population.

RHD is an inflammatory disease resulting from interactive immune, genetic, and environmental factors. Various, epidemiological studies have shown the association of genetic variants of cytokine genes with a predisposition to RHD. However, the results from different populations are inconsistent. Therefore, we carried out a meta- analysis of twenty-three published case-control studies and the results indicated that TGF-β1 +869 T/C (T vs. C: OR = 7.68, 95% CI = 1.62–36.50; TT + CT vs. CC OR = 1.83, 95%CI = 1.39–2.41), TGF-β1-509 (T vs. C: OR = 2.76, 95% CI = 1.33–5.75), TNF-α(AA vs. GG: OR = 4.93,95% CI = 2.83–8.58; A vs. G: OR = 2.15, 95% CI = 1.13–4.12) and IL-1β −511C/T (CC + CT vs. TT: OR = 1.35, 95%CI = 1.02–1.78; C vs. T: OR = 2.36, 95% CI = 1.66–3.37) were significantly associated with increased risk of RHD. On the other hand, IL-10(−1082)G/A polymorphism (GA vs. AA: OR = 0.91, 95% CI = 0.36–2.33; G vs. A: OR = 1.90, 95% CI = 0.58–6.22) and IL-6–174 G/C (CC + GC vs. GG: OR = 0.68, 95%CI = 0.32–1, C vs. G: OR = 1.14, 95% CI = 0.82–1.60) were not associated with modified RHD risk. The meta-analysis results were similar in Asians and non-Asians. Therefore, cytokine gene polymorphisms play important role in the genetic susceptibility of RHD in rheumatic fever patients.

Low-grade inflammation may play an important role in pathogenesis of functional dyspepsia (FD). Since cytokines may influence gastric mucosal inflammation, which is associated with FD, we evaluated singe nucleotide polymorphisms (SNPs) of pro-inflammatory IL17F and anti-inflammatory IL10 cytokine genes in patients with FD and healthy subjects (HS). Two hundred and thirty-seven consecutive patients with FD (Rome III) and 250 HS were genotyped for IL17F (rs2397084: A/G, rs763780: T/C) and IL10 (rs1800896: G/A, rs1800871: C/T) (PCR-RFLP). Patients with FD [173 (73%) men, age 38.4±12 years] were comparable with HS [195 (78%) men, age 37.3±12 years] with respect to age and gender. Out of 237 patients, 26 (11%) had epigastric pain, 55 (23.2%) had post-prandial distress syndromes (EPS, PDS), and 156 (65.8%) had EPS–PDS overlap. Among 237 patients with FD, GG (variant) genotype of IL17F (rs2397084) was more common than HS [15 (6.3%) vs. 4 (1.6%), p=0.015, odds ratio (OR)=4.0, 95% confidence interval (CI)=1.3–12.3]. IL17F (rs763780) and IL10 (rs1800896) were comparable among patients and HS (p=0.56, 0.28), respectively. However, TT (variant) genotype of IL10 (rs1800871) was more common among patients than HS [39 (16.5%) vs. 32 (12.8%), p=0.06, OR=1.7, 95% CI=0.98–2.98]. SNPs of IL17F and IL10 (rs2397084, rs763780, rs1800896 and rs1800871) were comparable among patients among sub-types of FD (p=0.80 and 0.44). SNPs of IL17F (rs2397084) and IL10 (rs1800871) genes are associated with FD.

Summary Background Gallbladder cancer is highly lethal, with notable differences in incidence by geography and ethnic background. The aim of this study was to identify common genetic susceptibility alleles for gallbladder cancer. Methods In this case-control genome-wide association study (GWAS), we did a genome-wide scan of gallbladder cancer cases and hospital visitor controls, both of Indian descent, followed by imputation across the genome. Cases were patients aged 20–80 years with microscopically confirmed primary gallbladder cancer diagnosed or treated at Tata Memorial Hospital, Mumbai, India, and enrolled in the study between Sept 12, 2010, and June 8, 2015. We only included patients who had been diagnosed less than 1 year before the date of enrolment and excluded patients with any other malignancies. We recruited visitor controls aged 20–80 years with no history of cancer visiting all departments or units of Tata Memorial Hospital during the same time period and frequency matched them to cases on the basis of age, sex, and current region of residence. We estimated association using logistic regression, adjusting for age, sex, and five eigenvectors. We recruited samples for a replication cohort from patients visiting Tata Memorial Hospital between Aug 4, 2015, and May 17, 2016, and patients visiting the Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India, between July, 2010, and May, 2015. We used the same inclusion and exclusion criteria for the replication set. We examined three of the most significant single-nucleotide polymorphisms (SNPs) in the replication cohort and did a meta-analysis of the GWAS discovery and replication sets to get combined estimates of association. Findings The discovery cohort comprised 1042 gallbladder cancer cases and 1709 controls and the replication cohort contained 428 gallbladder cancer cases and 420 controls. We observed genome-wide significant associations for several markers in the chromosomal region 7q21.12 harbouring both the ABCB1 and ABCB4 genes, with the most notable SNPs after replication and meta-analysis being rs1558375 (GWAS p=3·8 × 10 −9 ; replication p=0·01; combined p=2·3 × 10 −10 ); rs17209837 (GWAS p=2·0 × 10 −8 ; replication p=0·02; combined p=2·3 × 10 −9 ), and rs4148808 (GWAS p=2·4 × 10 −8 ; replication p=0·008; combined p=2·7 × 10 −9 ). Combined estimates of per-allele trend odds ratios were 1·47 (95% CI 1·30–1·66; p=2·31 × 10 −10 ) for rs1558375, 1·61 (1·38–1·89; p=2·26 × 10 −9 ) for rs17209837, and 1·57 (1·35–1·82; p=2·71 × 10 −9 ) for rs4148808. GWAS heritability analysis suggested that common variants are associated with substantial variation in risk of gallbladder cancer (sibling relative risk 3·15 [95% CI 1·80–5·49]). Interpretation To our knowledge, this study is the first report of common genetic variation conferring gallbladder cancer risk at genome-wide significance. This finding, along with in-silico and biological evidence indicating the potential functional significance of ABCB1 and ABCB4 , underlines the likely importance of these hepatobiliary phospholipid transporter genes in the pathology of gallbladder cancer. Funding The Tata Memorial Centre and Department of Biotechnology.

Background & objectives: Obesity is a health problem that requires substantial efforts to understand the physiopathology of its various types and to determine therapeutic strategies for its treatment. The objective of this study was to characterize differences in the global gene expression profiles of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) between control patients (normal weight) and patients with obesity (IMC≥30) using microarrays. Methods: Employing RNA isolated from SAT and VAT samples obtained from eight control and eight class I, II and III patients with obesity, the gene expression profiles were compared between SAT and VAT using microarrays and the findings were validated via real-time quantitative polymerase chain reaction. Results: A total of 327 and 488 genes were found to be differentially expressed in SAT and VAT, respectively (P≤0.05). Upregulation of PPAP2C, CYP4A11 and CYP17A1 genes was seen in the VAT of obese individuals. Interpretation & conclusions: SAT and VAT exhibited significant differences in terms of the expression of specific genes. These genes might be related to obesity. These findings may be used to improve the clinical diagnosis of obesity and could be a tool leading to the proposal of new therapeutic strategies for the treatment of obesity.

Numerous studies have investigated the relationship between various candidate gene polymorphisms and gallbladder stone disease (GSD) across ethnic populations; however, the results are often inconsistent. This meta-analysis aims to comprehensively evaluate the influence of common ABCG8 T400K, ABCG8 D19H, ABCG8 C54Y, ApoB100 EcoRI, ApoB100 XbaI, ApoE HhaI, CETP TaqI, CYP7A1 Bsa, LRPAP1 I/D and TNF-α A308G polymorphisms on the risk of gallbladder stone disease. 33 Full-text articles with 9250 cases and 12,029 healthy controls (total 21,279 subjects) were analyzed using the RevMan software (V5.1) and the Comprehensive Meta-analysis software (Version 2.0, BIOSTAT, Englewood, NJ) a Random—effects model was applied. Begg’s funnel plots, Fail-safe number, Egger’s regression intercept and Begg and Mazumdar rank correlation tests were performed for the potential publication bias and sensitivity analysis. The studies were also sub-grouped into European and non-European groups to find out role of ethnicity, if any, on GSD risk. Studies included in quantitative synthesis were ABCG8 T400K rs4148217 (cases/controls, n = 671/1416) (4 studies), ABCG8 D19H rs11887534 (n = 1633/2306) (8 studies), ABCG8 C54Y rs4148211 (n = 445/1194) (3 studies), ApoB100 EcoRI rs1042031 (n = 503/390) (4 studies), ApoB100 XbaI rs693 (n = 1214/1389) (9 studies), ApoE HhaI rs429358 (n = 1335/1482) (12 studies), CETP TaqI rs708272 (n = 1038/1025) (5 studies), CYP7A1 Bsa rs3808607 (n = 565/514) (3 studies), LRPAP1 I/D rs11267919 (n = 849/900) (3 studies), TNF-α A308G rs1800629 (n = 997/1413) (3 studies). The combined results displayed significant association of ABCG8 D19H (GC + CC) [OR with 95%CI = 2.2(1.7–2.8); p

Background Obesity is a very common disorder resulting from an imbalance between food intake and energy expenditure, and it has a substantial impact on the development of chronic diseases. The aim of this study was to examine the association of INSIG2 (rs7566605) gene polymorphism with obesity and obesity associated phenotypes in North Indian subjects. Methods The variants were investigated for association in 642 obese and non-obese individuals. The genotyping of INSIG2 (rs7566605) single nucleotide polymorphism was analyzed by the TaqMan allelic discrimination protocol. Results A significant association was observed for INSIG2 (rs7566605) single nucleotide polymorphism with obesity and obesity-related phenotypes. Furthermore, a significant relationship was found between the rs7566605 and insulin, homeostasis model of assessment-insulin resistance, the percentage of body fat, fat mass, leptin, and adiponectin. Conclusion The present study observed significant association between INSIG2 (rs7566605) single nucleotide polymorphism and obesity, as well as obesity-associated phenotypes in North Indian population.

Gallbladder cancer is a lethal malignancy of hepato-biliary system with high incidence in North India, especially along gangetic plain. The let-7 microRNAs play a key role in regulating KRAS expression and a polymorphism in 3′ untranslated region (rs61764370, T/G) of KRAS leads to its higher expression. This polymorphism is known to be associated with increased risk and prognosis of various cancers but its association with gallbladder cancer has not been evaluated. To address this research question, we evaluated whether rs61764370 variant is associated with gallbladder cancer susceptibility and clinical outcomes. In present case–control study, we enrolled 541 patients with gallbladder malignancy and 307 controls. Genomic DNA was obtained from peripheral blood and genotyping was performed using Taqman allelic discrimination assay. Heterozygous (TG) individuals are at a significant higher risk for GBC as compared with wild genotype (TT) (p = 0.007, odds ratio = 2.56, 95 % CI 1.27–5.18). At allelic level, allele G has significant higher risk for GBC as compared with T allele (p = 0.008, odds ratio = 2.5, 95 % CI 1.25–5.01). Survival analysis reveals decrease in overall survival for heterozygous genotype (p

CD44 is a well-established cancer stem cell marker playing a crucial role in tumor metastasis, recurrence and chemo-resistance. Genetic variants of CD44 have been shown to be associated with susceptibility to various cancers; however, the results are confounding. Hence, we performed a meta-analysis to clarify these associations more accurately. Overall, rs13347 (T vs. C: OR=1.30, p=

Mutations in sarcomeric genes are common genetic cause of cardiomyopathies. An intronic 25-bp deletion in cardiac myosin binding protein C (MYBPC3) at 3' region is associated with dilated and hypertrophic cardiomyopathies in Southeast Asia. However, the frequency of sarcomeric gene polymorphisms and associated clinical presentation have not been established with left ventricular dysfunction (LVD). Therefore, the aim of the present study was to explore the association of MYBPC3 25-bp deletion, titin (TTN) 18 bp I/D, troponin T type 2 (TNNT2) 5 bp I/D and myospryn K2906N polymorphisms with LVD. This study includes 988 consecutive patients with angiographically confirmed coronary artery disease (CAD) and 300 healthy controls. Among the 988 CAD patients, 253 with reduced left ventricle ejection fraction (LVEF≤45%) were categorized as LVD. MYBPC3 25-bp deletion, TTN 18 bp I/D and TNNT2 5 bp I/D polymorphisms were determined by direct polymerase chain reaction method, while myospryn K2906N polymorphism by TaqMan assay. Our results showed that MYBPC3 25-bp deletion polymorphism was significantly associated with elevated risk of LVD (LVEF

Cervical carcinoma is the fourth most common female cancer worldwide. The prognosis for women with advanced-stage or recurrent cervical cancer remains poor. The cervical cancer development is a slow process which takes place over several years. In recent years, there is considerable decrease in cervical cancer-related deaths, particularly in developed countries. This reduction in cancer mortality is the results of early detection of cervical cancer lesions due to intense screening programs. These programs involve detection of the early precancerous changes which may progress to cancer if left untreated. Human papillomavirus (HPV) has been identified as a necessary factor in the development of pre-invasive and invasive cancer of the cervix. Presently, there are two major modalities of cervical cancer screening, cytology and (HPV) test. In cytology, cells are scraped from the squamo-columnar junction of the cervix and fixed on a glass slide for reading by a trained cytologist. HPV testing involves qualitative/quantitative detection of HPV DNA or RNA by molecular methods. Although there are many subtypes of HPV but HPV 16 and 18 are most prevalent risk factors for cervical cancer. Although, cytological investigations have been the major screening modality in cervical cancer but the test has subtle limitations and requires adequate resources and trained manpower. In low resource settings, HPV testing alone or in conjunction with cytology may be an effective large-scale method of cervical cancer screening. HPV can be tested by various laboratory developed protocols but commercial assays are usually employed in large scale screening programs. Currently, non-invasive blood based tests, termed liquid biopsies, is under evaluation for screening, diagnosis and prognosis of cervical cancer patients.

Gallbladder cancer (GBC) is the most common malignancy of the biliary tract with adverse prognosis and poor survival. Wnt signaling plays an important role in embryonic development and regeneration of tissues in all the species. Deregulation of expression and mutations in this pathway may lead to disease state such as cancer. In this study, we assessed the association of common germline variants of Wnt pathway genes (SFRP2, SFRP4, DKK2, DKK3, WISP3, APC, β-catenin, AXIN-2, GLI-1) to evaluate their contribution in predisposition to GBC and treatment outcomes. The study included 564 GBC patients and 250 controls. Out of 564, 200 patients were followed up for treatment response and survival. Tumor response (RECIST 1.1) was recorded in 116 patients undergoing non-adjuvant chemotherapy (NACT). Survival was assessed by Kaplan-Meier curve and Cox-proportional hazard regression. Single locus analysis showed significant association of SFRP4 rs1802073G > T [p value = 0.0001], DKK2 rs17037102C > T [p value = 0.0001], DKK3 rs3206824C > T [p value = 0.012], APC rs4595552 A/T [p value = 0.021], APC rs11954856G > T [p value = 0.047], AXIN-2 rs4791171C > T [p value = 0.001], β-catenin rs4135385A > G [p value = 0.031], and GLI-1 rs222826C > G [p value = 0.001] with increased risk of GBC. Gene-gene interaction using GMDR analysis predicted APC rs11954856 and AXIN2 rs4791171 as significant in conferring GBC susceptibility. Cox-proportional hazard model showed GLI-1 rs2228226 CG/GG and AXIN-2 rs4791171 TT genotype higher hazard ratio. In recursive partitioning, AXIN-2 rs4791171 TT genotype showed higher mortality and hazard. Most of studied genetic variants influence GBC susceptibility. APC rs11954856, GLI-1 rs2228226, and AXIN-2 rs4791171 were found to be associated with poor survival in advanced GBC patients.

Gallbladder cancer is the most common and a highly aggressive biliary tract malignancy with a dismal outcome. The pathogenesis of the disease is multifactorial, comprising the combined effect of multiple genetic variations of mild consequence along with numerous dietary and environmental risk factors. Previously, we demonstrated the association of several candidate gene variations with GBC risk. In this study, we aimed to identify the combination of gene variants and their possible interactions contributing towards genetic susceptibility of GBC. Here, we performed Multifactor-Dimensionality Reduction (MDR) and Classification and Regression Tree Analysis (CRT) to investigate the gene–gene interactions and the combined effect of 14 SNPs in nine genes (DR4 (rs20576, rs6557634), FAS (rs2234767), FASL (rs763110), DCC (rs2229080, rs4078288, rs7504990, rs714), PSCA (rs2294008, rs2978974), ADRA2A (rs1801253), ADRB1 (rs1800544), ADRB3 (rs4994), CYP17 (rs2486758)) involved in various signaling pathways. Genotyping was accomplished by PCR-RFLP or Taqman allelic discrimination assays. SPSS software version 16.0 and MDR software version 2.0 were used for all the statistical analysis. Single locus investigation demonstrated significant association of DR4 (rs20576, rs6557634), DCC (rs714, rs2229080, rs4078288) and ADRB3 (rs4994) polymorphisms with GBC risk. MDR analysis revealed ADRB3 (rs4994) to be crucial candidate in GBC susceptibility that may act either alone (p &lt, 0.0001, CVC = 10/10) or in combination with DCC (rs714 and rs2229080, p &lt, 0.0001, CVC = 9/10). Our CRT results are in agreement with the above findings. Further, in-silico results of studied SNPs advocated their role in splicing, transcriptional and/or protein coding regulation. Overall, our result suggested complex interactions amongst the studied SNPs and ADRB3 rs4994 as candidate influencing GBC susceptibility.

Obesity is an increasingly important health problem worldwide as well as in developing countries like India. Recent genetic studies suggest that obesity associated FTO and IRX3 are functionally linked and many effects due to genetic variants in FTO gene act through IRX3.To evaluate the association of FTO and IRX3 genetic variants towards obesity risk.North Indian individuals categorised as non-obese (BMI 30 kg/m(2)) and obese (BMI ≥ 30 kg/m(2)) were selected. FTO rs8050136, rs1421085, rs9939609, rs17817449 and IRX3 rs3751723 were genotyped by means of validated Taqman® allelic discrimination to evaluate their association with obesity by means of single locus logistic regression by SPSS ver. 19 and multi-locus linkage and haplotype analysis by SNPStats and gene-gene interaction with Generalised Multifactor Dimensionality Reduction (GMDR) ver.6.In single locus analysis, FTO rs8050136 CA (p = 0.0001; OR (95% CI) = 2.4 (1.7-3.4) and AA (p = 0.0001; OR (95% CI) = 3.1 (1.9-5.2); FTO rs1421085 TA (p = 0.0001; OR (95% CI) = 2.1 (1.4-3.0) and AA (p = 0.0001; OR (95% CI) = 3.0 (1.8-5.0); FTO rs9939609 TC (p = 0.0001; OR (95% CI) = 2.1 (1.5-3.1) and CC (p = 0.0001; OR (95% CI) = 4.2 (2.5-7.3) along with TG (p = 0.001; OR (95% CI) = 2.1 (1.3-3.2) and GG (p = 0.021; OR (95% CI) = 3.8 (1.2-11.8) genotypes of FTO rs17817449 with GT (p = 0.0001; OR (95% CI) = 2.1 (1.5-3.1) and TT (p = 0.012; OR (95% CI) = 3.3 (1.8-3.6) genotypes of IRX3 rs3751723 were significantly associated with obesity. In multi-locus analysis, SNPs of FTO and IRX3 were in strong linkage disequilibrium and in haplotype and GMDR analysis the SNPs were significantly associated with obesity risk (p 0.05).This is the first study to reveal that genetic variants of both FTO and IRX3 genes are in high linkage disequilibrium (LD) and are associated with obesity risk in North Indians.

Prediction of response and toxicity of chemotherapy can help personalize the treatment and choose effective yet non-toxic treatment regimen for a breast cancer patient. Interplay of variations in various drug-metabolizing enzyme (DME)-encoding genes results in variable response and toxicity of chemotherapeutic drugs. Generalized multi-analytical (GMDR) approach was used to determine the influence of the combination of variants of genes encoding phase 0 (SLC22A16); phase I (CYP450, NQO1); phase II (GSTs, MTHFR, UGT2B15); and phase III (ABCB1) DMEs along with confounding factors on the response and toxicity of chemotherapeutic drugs in breast cancer patients.In an Indian breast cancer patient cohort (n = 234), response to neo-adjuvant chemotherapy (n = 111) and grade 2-4 toxicity to chemotherapy were recorded. Patients were genotyped for 19 polymorphisms selected in four phases of DMEs by PCR or PCR-RFLP or Taqman allelic discrimination assay. Binary logistic regression and GMDR analysis was performed. Bonferroni test for multiple comparisons was applied, and p value was considered to be significant at0.025.For ABCB1 1236CT polymorphism, CT genotype was found to be significantly associated with response to NACT in uni-variate and multi-variate analysis (p = 0.018; p = 0.013). The TT genotype of NQO1 609CT had a significant association with (absence of) grade 2-4 toxicity in uni-variate analysis (p = 0.021), but a non-significant correlation in multi-variate analysis. In GMDR analysis, interaction of CYP3A5*3, NQO1 609CT, and ABCB1 1236CT polymorphisms yielded the highest testing accuracy for response to NACT (CVT = 0.62). However, for grade 2-4 toxicity, CYP2C19*2 and ABCB1 3435CT polymorphisms yielded the best interaction model (CVT = 0.57).This pharmacogenetic study suggests a role of higher order gene-gene interaction of DME-encoding genes, along with confounding factors, in determination of treatment outcomes and toxicity in breast cancer patients. This can be used as a potential objective tool for individualizing breast cancer chemotherapy with high efficacy and low toxicity.

Genes important to stem cell progression have been involved in the genetics and clinical outcome of cancers. We investigated germ line variants in cancer stem cell (CSC) genes to predict susceptibility and efficacy of chemoradiotherapy treatment in gallbladder cancer (GBC) patients. In this study, we assessed the effect of SNPs in CSC genes (surface markers CD44, ALCAM, EpCAM, CD133) and (molecular markers NANOG, SOX-2, LIN-28A, ALDH1A1, OCT-4) with GBC susceptibility and prognosis. Total 610 GBC patients and 250 controls were genotyped by using PCR-RFLP, ARMS-PCR, and TaqMan allelic discrimination assays. Chemotoxicity graded 2-4 in 200 patients and tumor response was recorded in 140 patients undergoing neoadjuvant chemotherapy (NACT). Differences in genotype and haplotype frequency distributions were calculated by binary logistic regression. Gene-gene interaction model was analyzed by generalized multifactor dimensionality reduction (GMDR). Overall survival was assessed by Kaplan-Meier survival curve and multivariate Cox-proportional methods. ALCAM Ars1157Crs10511244 (P = 0.0035) haplotype was significantly associated with GBC susceptibility. In GMDR analysis, ALCAM rs1157G>A, EpCAM rs1126497T>C emerged as best significant interaction model with GBC susceptibility and ALDH1A1 rs13959T>G with increased risk of grade 3-4 hematological toxicity. SOX-2 rs11915160A>C, OCT-4 rs3130932T>G, and NANOG rs11055786T>C were found best gene-gene interaction model for predicting response to NACT. In both Cox-proportional and recursive partitioning ALCAM rs1157GA+AA genotype showed higher mortality and hazard ratio. ALCAM gene polymorphisms associated with GBC susceptibility and survival while OCT-4, SOX-2, and NANOG variants showed an interactive role with treatment response.