Liposomes: Ideal drug delivery systems in breast cancer.

Breast cancer (BC) has been recognized as the most common type of cancer in females across the world, accounting for 12% of each cancer case. In this sense, better diagnosis and screening have been thus far proven to contribute to higher survival rates. Moreover, traditional (or standard) chemotherapy is still known as one of the several prominent therapeutic options available, though it suffers from unsuitable cell selectivity, severe consequences, as well as resistance.

Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches.

Background: About 90% of patients who have diabetes suffer from Type 2 DM (T2DM). Many studies suggest using the significant role of lncRNAs to improve the diagnosis of T2DM. Machine learning and Data Mining techniques are tools that can improve the analysis and interpretation or extraction of knowledge from the data.

Long non-coding RNA LY86-AS1 and HCG27_201 expression in type 2 diabetes mellitus.

Long non-coding RNAs (LncRNAs) are non-coding RNAs. The potential roles of lncRNAs in type 2 diabetes mellitus (T2DM) are not well-known. In this study, we aim to assess the expression levels of LY86-AS1 and HCG27_201 in T2DM patients and a healthy control group.

Downregulation of long non-coding RNAs LINC00523 and LINC00994 in type 2 diabetes in an Iranian cohort.

Long non-coding RNAs (lncRNAs) are a subclass within the non-coding RNA repertoire that have potential roles in type 2 diabetes mellitus (T2DM). However, the biological function and molecular mechanisms of lncRNAs in T2DM remain largely unknown. The purpose of this study is to investigate the association between LINC00523 and LINC00994 expressions and T2DM susceptibility in an Iranian cohort.