Ashwani Kumar Mishra

Multiple analytical approaches reveal distinct gene-environment interactions in smokers and non smokers in lung cancer.

Complex disease such as cancer results from interactions of multiple genetic and environmental factors. Studying these factors singularly cannot explain the underlying pathogenetic mechanism of the disease. Multi-analytical approach, including logistic regression (LR), classification and regression tree (CART) and multifactor dimensionality reduction (MDR), was applied in 188 lung cancer cases and 290 controls to explore high order interactions among xenobiotic metabolizing genes and environmental risk factors. Smoking was identified as the predominant risk factor by all three analytical approaches. Individually, CYP1A1*2A polymorphism was significantly associated with increased lung cancer risk (OR = 1.69;95%CI = 1.11–2.59,p = 0.01), whereas EPHX1 Tyr113His and SULT1A1 Arg213His conferred reduced risk (OR = 0.40;95%CI = 0.25–0.65,p<0.001 and OR = 0.51;95%CI = 0.33–0.78,p = 0.002 respectively). In smokers, EPHX1 Tyr113His and SULT1A1 Arg213His polymorphisms reduced the risk of lung cancer, whereas CYP1A1*2A, CYP1A1*2C and GSTP1 Ile105Val imparted increased risk in non-smokers only. While exploring non-linear interactions through CART analysis, smokers carrying the combination of EPHX1 113TC (Tyr/His), SULT1A1 213GG (Arg/Arg) or AA (His/His) and GSTM1 null genotypes showed the highest risk for lung cancer (OR = 3.73;95%CI = 1.33–10.55,p = 0.006), whereas combined effect of CYP1A1*2A 6235CC or TC, SULT1A1 213GG (Arg/Arg) and betel quid chewing showed maximum risk in non-smokers (OR = 2.93;95%CI = 1.15–7.51,p = 0.01). MDR analysis identified two distinct predictor models for the risk of lung cancer in smokers (tobacco chewing, EPHX1 Tyr113His, and SULT1A1 Arg213His) and non-smokers (CYP1A1*2A, GSTP1 Ile105Val and SULT1A1 Arg213His) with testing balance accuracy (TBA) of 0.6436 and 0.6677 respectively. Interaction entropy interpretations of MDR results showed non-additive interactions of tobacco chewing with SULT1A1 Arg213His and EPHX1 Tyr113His in smokers and SULT1A1 Arg213His with GSTP1 Ile105Val and CYP1A1*2C in nonsmokers. These results identified distinct gene-gene and gene environment interactions in smokers and non-smokers, which confirms the importance of multifactorial interaction in risk assessment of lung cancer.

Expression of genes related to multiple drug resistance and apoptosis in acute leukemia: response to induction chemotherapy

Resistance to chemotherapy is a major impediment to the successful treatment of acute leukemia (AL). Expression of genes involved in drug resistance and apoptosis may be responsible for this. This study aimed to investigate the expression of drug resistance (MDR1, MRP1, LRP, BCRP, GSTP1, DHFR) and apoptotic genes (p53, BCL-2, Survivin) in adult acute leukemias and compare them with clinical and hematological findings and response to induction chemotherapy. Eighty-five patients with AL [45 with acute myeloid leukemia (AML) and 40 with acute lymphoblastic leukemia (ALL)] were used as a study group. Real-time PCR results showed that expression level of MDR1 was significantly higher in AML whereas expression of DHFR, BCRP and Survivin was significantly higher in ALL patients. In AML, significant correlation was observed between LRP and MRP1 (r(s)=0.44, p=0.016), LRP and DHFR (r(s)=0.41, p=0.02), MDR1 and BCL-2 (r(s)=0.38, p=0.03). Expression of GSTP1 and LRP correlated with high white blood count (p=0.03 and p=0.03) and BCL-2 with high peripheral blast count (p=0.009). MDR1 expression was significantly associated with the expression of immature stem cell marker CD34 (p=0.002). In ALL, significant association was found between LRP gene and female sex (p<0.0001), LRP and B-ALL patients (p=0.04) and LRP and BCR/ABL positive patients (p=0.004). High expression of MDR1 and BCL-2 in AML and MRP1 gene in ALL was associated with response to induction chemotherapy (p=0.001, p=0.02 and p=0.007 respectively). These results showed the potential clinical relevance of MDR1, MRP1 and BCL-2 in adult patients with acute leukemia in the context of induction chemotherapy.

High order interactions of xenobiotic metabolizing genes and P53 codon 72 polymorphisms in acute leukemia.

Polymorphisms in xenobiotic metabolizing genes are associated with altered metabolism of carcinogens in acute leukemia (AL). This study applied two data mining approaches to explore potential interactions among P53 and xenobiotic metabolizing genes in 230 AL patients [131 acute myeloid leukemia (AML) and 99 acute lymphoblastic leukemia (ALL)] and 199 controls. Individually, none of the genotypes showed significant associations with AML risk. However, in ALL the CYP1A12A TC genotype was associated with increased risk (OR = 2.02; 95% CI = 1.14–3.58; P = 0.01), whereas the GSTM1 null genotype imparted reduced risk (OR = 0.55; 95% CI = 0.31–0.96; P = 0.03). In classification and regression tree analysis, combinations of GSTM1 present, CYP1A12C AA or GG, EPHX1 exon3 TC, and EPHX1 exon4 AA or GG genotype strongly enhanced the risk of AML (OR = 5.89; 95% CI = 1.40–26.62; P = 0.01). In ALL, combinations of CYP1A12A TT, P53 GG or CC and GSTP1 AG genotypes conferred the highest risk (OR = 4.19; 95% CI = 1.45–12.25; P = 0.004). In multifactor dimensionality reduction analysis, a four locus model (GSTP1, P53, EPHX1 exon3, and CYP1A12A) was the best predictor model for ALL risk. The association between this model and ALL risk remained true even at low prior probabilities of 0.01% (false positive report probability = 0.05). Interaction entropy interpretations of the best model of ALL revealed that two‐way interactions were mostly synergistic. These results suggest that high order gene–gene interactions play an important role in AL risk. Environ. Mol. Mutagen., 2012.

Role of Tumor Suppressor and Angiogenesis Markers in Prediction of Recurrence of Non Muscle Invasive Bladder Cancer

Non muscle invasive bladder cancers recur frequently and identification of biomarkers for predicting recurrence are necessary. The present study evaluated the individual and synergistic effects of tumor suppressor (p53/p21waf1) and angiogenesis [vascular endothelial growth factor (VEGF)/endoglin (CD105)] markers. The study included 90 cases of non muscle invasive bladder cancer. Cell spots were stained with primary antibodies and Flourescein isothiocyanate (FITC). Slides were observed under confocal laser scanning microscope for protein expression. The association between the markers individually and synergistically with recurrence were assessed by a χ2 and Fisher’s Exact test. Survival analysis was performed to predict recurrence and test for significant difference in recurrence free survival probability. Recurrence [overall:39(43.3%) and low grade(LG):26(54.2%)] was significant with p53 and VEGF expression and the profiles p53/VEGF, p53/CD105, VEGF/CD105, p53/p21/CD105, p53/VEGF/CD105 and all four were significantly associated with recurrence in both groups. In the multivariable model the [HR(95%CI),p: overall and LG] profiles p21/VEGF [2.195(1.052-4.582),0.036; 3.425(1.332-8.811),0.011], VEGF/CD105[2.624(1.274-5.403),0.009 and 3.380(1.348-8.472),0.009], p53/p21/CD105 [2.000(0.993-4.027),0.052 and 2.539(1.047-6.157),0.039], p53/VEGF/CD105 [2.360(1.148-4.849),0.020 and 2.738(1.104-6.788),0.030], p21/VEGF/CD105 [2.611(1.189-5.731),0.017 and 3.946(1.530-10.182),0.005] and all four [2.382(1.021-5.556),0.045 and 3.572(1.287-9.911),0.014] significantly predicted the recurrence along with significant log rank. In the pTa subset (n = 33) the profiles p53/p21, p53/CD105, p21/VEGF, VEGF/CD105, p53/VEGF/CD105, p53/p21/CD105 and p21/VEGF/CD105, significantly predicted hazard for recurrence. The present study emphasizes an underlying association between tumor suppressor (p21waf1) and angiogenesis (VEGF/CD105) biomarkers. In addition combination profiles appeared to indicate an aggressive nature with high propensity for recurrence in LG and pTa tumours.

Is CXCL10/CXCR3 axis overexpression a better indicator of leprosy type 1 reaction than inducible nitric oxide synthase?

Background & objectives: Leprosy type 1 reactions (T1R) are acute episodes of immune exacerbation that are a major cause of inflammation and nerve damage. T1R are diagnosed clinically and supported by histopathology. No laboratory marker is currently available that can accurately predict a T1R. Increased plasma and tissue expression of inducible nitric oxide synthase (i-NOS) and chemokine CXCL10 have been demonstrated in T1R. We studied the gene expression and immunoexpression of i-NOS, CXCL10 and its receptor CXCR3 in clinically and histopathologically confirmed patients with T1R and compared with non-reactional leprosy patients to understand which biomarker has better potential in distinguishing reaction from non-reaction. Methods: Gene expression of i-NOS, CXCL10 and CXCR3 was studied in 30 skin biopsies obtained from patients with borderline tuberculoid (BT), mid-borderline (BB) and borderline lepromatous (BL) leprosy with and without T1R by real-time PCR. Further validation was done by immunhistochemical expression on 60 borderline leprosy biopsies with and without T1R. Results: Of the 120 patients histopathological evaluation confirmed T1R in 65 (54.2%) patients. CXCR3 gene expression was significantly (P<0.05) higher in BT- and BB-T1R patients compared to those without T1R. The CXCL10 gene expression was significantly higher (P<0.05) in BB leprosy with T1R but the difference was not significant in patients with BT with or without T1R. Immunoexpression for CXCR3 was significant in both BB-T1R and BB (P<0.001) and BT and BT-T1R (P<0.001). Immunoexpression of CXL10 was significant only in differentiating BB from BB-T1R leprosy (P<0.01) and not the BT cases. i-NOS immunoexpression was not useful in differentiating reactional from non-reactional leprosy. Interpretation & conclusions: Both CXCL10 and CXCR3 appeared to be useful in differentiating T1R reaction in borderline leprosy while CXCR3 alone differentiated BT from BT-T1R. CXCR3 may be a potentially useful immunohistochemical marker to predict an impending T1R.