Comprehensive analysis of DRAIC and TP53TG1 in breast cancer luminal subtypes through the construction of lncRNAs regulatory model.

Background: Deciphering new molecules related to the breast cancer subtypes is crucial for prognosis and determining a better strategy for targeted therapy. In this study, we aimed to model ceRNAs networks in luminal A and luminal B subtypes of breast cancer and then delve deeper into the role of two candidate lncRNAs in breast tumors.

Methods: We constructed two networks as a regulatory model based on our previously identified transcription factors (TFs) and miRNAs with associated lncRNAs.

Transcription factors linked to the molecular signatures in the development of hepatocellular carcinoma on a cirrhotic background.

Mechanisms underlying the regulation of gene expression in cancer have been surveyed for decades to find novel prognostic factors and new targets for molecular targeted therapies in cancer. Because most cases of liver cancer are associated with liver cirrhosis, we aimed to analyze the gene expression signatures and the gene regulatory mechanism in hepatocellular carcinoma (HCC) on a cirrhotic background using high-throughput data analysis. In the present study, three valid array-based datasets containing HCC and liver cirrhosis samples were obtained to identify common differentially expressed genes (DEGs).

Characterization of pathways involved in colorectal cancer using real-time RT-PCR gene expression data.

Aim: Efforts to explore biomarkers and biological pathways involved in the disease are needed to improve colorectal cancer (CRC) diagnosis and alternative treatments.

Background: The fourth common malignancy in the world is colorectal cancer. The over-all burden is predicted to rise by 2030.

Transcriptomics-based screening of molecular signatures associated with patients overall survival and their key regulators in subtypes of breast cancer.

Molecular subtypes of breast cancer are associated with differences in prognosis and strategies of molecular targeted therapies. Gene regulatory mechanisms as one of the reasons might modulate these differences. In the present study, we proposed a comprehensive data analysis and systems biology approach to explore molecular signatures which reduce the chance of patients overall survival and the possible mechanisms of their regulation by transcription factors (TFs) and microRNAs (miRNAs) in the main subtypes of breast tumor consist of Basal like, Her2 enriched, Luminal A and Luminal B breast cancer.

Expression of LRP Gene in Breast Cancer Patients Correlated with MRP1 as Two Independent Predictive Biomarkers in Breast Cancer.

Background: Breast cancer is the most common malignancy in women. Multidrug resistance (MDR) is still a great obstacle of breast cancer chemotherapy. We have previously shown that multidrug resistance-associated protein 1 (MRP1) is associated with response to neoadjuvant chemotherapy.

An integrated study on TFs and miRNAs in colorectal cancer metastasis and evaluation of three co-regulated candidate genes as prognostic markers.

Molecular alterations that occur in cancer have the potential to be considered as either cancer biomarkers or targeted therapies or even both. In the presented study, we aimed to elucidate the gene regulatory network of metastatic colorectal cancer using data acquired from microarrays to reach the most common DEGs in colorectal cancer metastasis and find their possible regulatory mechanism by DETFs and DEmiRs. In this regards, seven microarray datasets were employed to assess the most important DEGs, DETFs and DEmiRs in colorectal cancer metastasis.

Prognostic Value of FBXO39 and ETS-1 but not BMI-1 in Iranian Colorectal Cancer Patients.

Background: Colorectal cancer (CRC) is one of the most prevalent cancers worldwide. Despite recent progress in diagnosis and treatment, it remains a major health problem and further studies are needed. We here investigated expression profiles of the FBXO39, ETS-1 and BMI-1 genes in CRCs to validate any possible diagnostic/prognostic significance.

FBLN-4 and BCRP genes as two prognostic markers are downregulated in breast cancer tissue.

Background: Fibulin-4 (FBLN-4) is an extracellular glycoprotein that is upregulated in some cancer and is khown as prognostic marker in ovarian and cervical cancer. Breast cancer resistance protein (BCRP) is an ATP-binding cassette transporter that facilitates the efflux of various anticancer drugs from the cell and cause MDR phenotype in breast tumors. Many studies are available that indicat overexpression of BCRP gene in breast cancer.