Original Article - click here for text.
The Pharmacogenomics Journal advance online publication 17 November 2009; doi: 10.1038/tpj.2009.49
A K Maiti1
1A&I, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
Correspondence: Dr AK Maiti, A&I, Oklahoma Medical Research Foundation, 825 NE13th, Oklahoma City, OK 73104, USA. E-mails: amit-maiti@omrf.org, Akmit123@yahoo.com
Received 23 March 2009; Revised 21 August 2009; Accepted 24 September 2009; Published online 17 November 2009.
Drug resistance in cancer cells involves complex molecular mechanisms and ovarian carcinoma cells become resistant to chlorambucil (Cbl) after continuous treatment. This drug- and ionizing radiation-resistant cells have lower level of endogenous ROS (reactive oxygen species) compared with sensitive cells. Elevation of the cellular ROS level by exogenous ROS generation increases the sensitivity of Cbl to resistant cells. In contrast, antioxidants prevent the sensitization of resistant cells to Cbl by H2O2, COS (chronic oxidative stress) or NOO-. The molecular mechanism of drug sensitivity with COS has been investigated by microarray gene expressions followed by gene network analysis and it reveals that a cdc42/rac1 guanine exchange factor, ARHGEF6, with p53 and DNA-Pkc (PRKDC) is central to induce apoptosis in Cblcos (Cbl with COS) cells. mRNA and protein levels of major gene network pathway differ significantly in Cblcos cells than in Cbl-treated cells. Moreover, DNA-PKc physically interacts with ARHGEF6 and p53 mostly in the nucleus of Cbl-treated cells, whereas in Cblcos-treated cells, its interactions are mostly in the cytoplasm. These results suggest that low doses of Cbl and very low doses of COS together kill Cbl-resistant ovarian carcinoma cells and ARHGEF6 signaling may have an instrumental role in induction of apoptosis in Cblcos cells.
0.03, were analyzed in statistics. Linear regression model with age, gender, diabetes, use of typical antipsychotics and use of atypical antipsychotics as covariates, with or without gender interaction, showed evidence of associations between the ADRA1A gene and BMI. Most of the SNPs associated with BMI are located in the promoter and intron regions, and being female appeared to enhance the gene effect. Our study suggests that the ADRA1A gene is involved in weight gain among schizophrenia patients treated with antipsychotics. Further molecular dissection of the ADRA1A gene warrants better understanding on weight gain mechanisms in schizophrenia.
4 polymorphisms with nicotine dependence in 5500 Germans
4 have recently been suggested to play a role in the determination of smoking-related phenotypes. To examine this hypothesis, we conducted a genetic association study in three large samples from the German general population (N1=1412; N2=1855; N3=2294). Five single-nucleotide polymorphisms in CHRNA4 were genotyped in 5561 participants, including 2707 heavily smoking cases (regularly smoking at least 20 cigarettes per day) and 2399 never-smoking controls (
100 cigarettes over lifetime). We examined associations of the polymorphisms with smoking case–control status and with the extent of nicotine dependence as measured by the Fagerstrom test of nicotine dependence (FTND) score (N=1030). The most significant association was observed between rs2236196 and FTND (P=0.0023), whereas the closely linked rs1044396 had most statistical support in the case–control models (P=0.0080). The consistent effect estimates across three independent cohorts elaborate on recently published functional studies of rs2236196 from the CHRNA4 3'-untranslated region and seem to converge with accumulating evidence to firmly implicate the variant G allele of this polymorphism in the intensification of nicotine dependence.
2-test showed a significant (P<0.05)>
N; n=100). Results confirmed those obtained by real-time PCR. Major improvements using the array are the detection of CYP2D6 intermediate alleles and identification of the duplicated alleles. CYP2D6 phenotype was determined by assessing urinary elimination of dextromethorphan and its metabolite dextrorphan and compared to the array prediction (n=165). Although a low sensitivity of UM prediction by genotyping was observed, phenotype prediction was optimal for PM and satisfying for EM and IM.
