No abstract

A significant group of patient with estrogen receptor (ER) α positive breast tumors fails to appreciably respond to endocrine therapy. An increased understanding of the molecular basis of estrogen-mediated signal transduction and resultant gene expression may lead to novel strategies for treating breast cancer. In this study, we sought to identify the dysregulated genes in breast tumors related to ERα status. Microarray analyses of 31 tumor samples showed 108 genes differentially expressed in ERα (+) and ERα (−) primary breast tumors. Further analyses of gene lists indicated that a significant number of dysregulated genes were involved in mRNA transcription and cellular differentiation. The majority of these genes were found to have promoter-binding sites for E74-like factor 5 (ELF5; 54.6% genes), E2F transcription factor 1 (E2F1; 22.2% genes), and nuclear transcription factor Y alpha (NFYA; 32.4% genes). Six candidate genes (NTN4, SLC7A8, MLPH, ENPP1, LAMB2, and PLAT) with differential expression were selected for further validation studies using RT-qPCR (76 clinical specimen) and immunohistochemistry (48 clinical specimen). Our studies indicate significant over-expression of all the six genes in ERα (+) breast tumors as compared to ERα (−) breast tumors. In vitro studies using T-47D breast cancer cell line confirmed the estrogen dependant expression of four of the above six genes (SLC7A8, ENPP1, LAMB2, and PLAT). Collectively, our study provides further insights into the molecular basis of estrogen-dependent breast cancer and identifies “candidate biomarkers” that could be useful for predicting endocrine responsiveness.

The objective of the present study was to validate prognostic gene signature for estrogen receptor alpha-positive (ER03B1+) and lymph node (+) breast cancer for improved selection of patients for adjuvant therapy. In our previous study, we identified a group of seven genes (GATA3, NTN4, SLC7A8, ENPP1, MLPH, LAMB2, and PLAT) that show elevated messenger RNA (mRNA) expression levels in ERα (+) breast cancer patient samples. The prognostic values of these genes were evaluated using gene expression data from three public data sets of breast cancer patients (n = 395). Analysis of ERα (+) breast cancer cohort (n = 195) showed high expression of GATA3, NTN4, and MLPH genes significantly associated with longer relapse-free survival (RFS). Next cohort of ERα (+) and node (+) samples (n = 109) revealed high mRNA expression of GATA3, SLC7A8, and MLPH significantly associated with longer RFS. Multivariate analysis of combined three-gene signature for ERα (+) cohort, and ERα (+) and node (+) cohorts showed better hazard ratio than individual genes. The validated three-gene signature sets for ERα (+) cohort, and ERα (+) and node (+) cohort may have potential clinical utility since they demonstrated predictive and prognostic ability in three independent public data sets.

Many doubts still persist even today when it comes to selection of the solvents for extracting the active constituents from various Indian medicinal plants. This study was aimed at assessing and establishing the best solvent for extracting the active constituents from 10 plant extracts. Thin layer chromatography (TLC) was used to separate and establish the active constituents present in each of the medicinal plants. Active constituents from each plant were extracted by using three different solvent systems namely diethyl ether, chloroform and hexane and were tested against three species of gram negative and three species of gram positive bacteria (Escherichia coli, Pseudomonas aureginosa, Streptococcus pneumoniae, Aeromonas hydrophila, Staphylococcus aereus, Bacillus cereus) by means of agar well diffusion assay. Studies on the antioxidant activity studies were also carried out for these plant extracts by using Diphenylpicryl-hydrazyl (DPPH) method. For the antimicrobial activity, the study revealed that among the selected plants, Azadiracta indica, Pongamia pinnata, Aloe barbadensis had the maximum antibacterial activity. Among the extraction procedures diethyl ether was found to be the best solvent that could be used for the extraction procedure. On the antioxidant activity part, Coleus amboinicus and Calotropis procera were found to have high antioxidant activity of 91.64% and 88.72% respectively and the further results are reported and discussed.

Fifteen cyanobacteria species were isolated from fresh water and marine water resources from different parts of Tamil Nadu, India. Based on their morphological features they were identified through microscopic observations. The isolates were then screened for PHB production using nile red staining. It was found eleven of them were capable of producing PHB in their native forms. Further, PHB quantitative analysis by HPLC showed marine Phormidium sp with 7.60±0.005 mg/L (7.6%) of PHB, followed by Synechococcus sp with 4.59±0.012 mg/L (4.5%), Synechocystis sp with 3.74±0.007 mg/L (3.7%) and Anabaena sp with 2.31±0.012 mg/L (2.3%) of fresh water isolates. Among the isolates, Phormidium sp (VIT-BMN3) isolated from marine environments is reporting first time for its PHB production. In addition, biodegradable polymer extracted in hot chloroform is analysed by FTIR which showed strong bands near 1725 cm , 2977 cm and 3437 cm wave 1 1 1 numbers and confirms the presence of ester carbonyl group (C=O), methylene C-H vibration and terminal OH group of PHB, respectively. Overall, nile red staining, HPLC analysis and FTIR spectrums obtained for all cultures conforms the PHB production by our isolates in their native conditions. Further studies of media optimization for increased PHB production are under the process.