AKR1C3 Inhibition Therapy in Castration-Resistant Prostate Cancer and Breast Cancer: Lessons from Responses to SN33638

In silico study of novel alpha tocopheroids as effective inhibitors of aldo-keto reductase 1c3 (AKR1C3) enzyme

Aldo-keto reductase 1C3 (AKR1C3) is a monomeric enzyme expressed in steroidogenic tissues such as the testis, prostate, uterus, and breast. Overexpression of this AKR1C3 is associated with vast cancers such as breast, colon, colorectal, endometrial, prostate, and acute myeloid leukaemia. Regarding the treatment of castration-resistant prostate cancer, breast cancer, and acute myeloid leukaemia, AKR1C3 inhibitors may offer clear advantages over currently available therapies. Thus, discovering novel and specific AKR1C3 inhibitors is a promising way to obstruct drug resistance in cancer. Derivatives of alpha-tocopherol and alpha-tocopheroids were selected as possible therapeutics to act as AKR1C3 inhibitors. The precise targets of several ligands were determined using computational screening methods. The molecular structure of AKR1C3 and its ligands were used as the foundation for in silico predictions, modelling, and dynamic simulations. Compounds were selected based on their biological properties and filtered according to their ADMET and drug-likeness properties. Additionally, simulations of all-atom molecular dynamics on AKR1C3 with the cleared compounds revealed stability over the simulated trajectories of 100 ns. When seen collectively, alpha-tocospiro A may be considered prospective AKR1C3 inhibitors for creating anticancer therapies.Communicated by Ramaswamy H. Sarma.

Bioisosteres of Indomethacin as Inhibitors of Aldo-Keto Reductase 1C3

Aldo-keto reductase 1C3 (AKR1C3) is an attractive target in drug design for its role in resistance to anticancer therapy. Several nonsteroidal anti-inflammatory drugs such as indomethacin are known to inhibit AKR1C3 in a nonselective manner because of COX-off target effects. Here we designed two indomethacin analogues by proposing a bioisosteric connection between the indomethacin carboxylic acid function and either hydroxyfurazan or hydroxy triazole rings. Both compounds were found to target AKR1C3 in a selective manner. In particular, hydroxyfurazan derivative is highly selective for AKR1C3 over the 1C2 isoform (up to 90-times more) and inactive on COX enzymes. High-resolution crystal structure of its complex with AKR1C3 shed light onto the binding mode of the new inhibitors. In cell-based assays (on colorectal and prostate cancer cells), the two indomethacin analogues showed higher potency than indomethacin. Therefore, these two AKR1C3 inhibitors can be used to provide further insight into the role of AKR1C3 in cancer.

Identification of Aberrant Chromosomal Regions in Human Breast Cancer Using Gene Expression Data and Related Gene Information

BACKGROUND

Chromosomal instability is a hallmark of cancer. Chromosomal imbalances, like amplifications and deletions, influence the transcriptional activity of genes. These imbalances affect not only the expression of genes in the aberrant chromosomal regions, but also that of related genes, and may be relevant to the cancer status.

MATERIAL AND METHODS

Here, we used the 7 publicly available microarray studies in breast cancer tissues and propose a general and unsupervised method by using the gene expression data and related gene information to systematically identify aberrant chromosomal regions. This method aimed to identify the chromosomal regions where the genes and their related genes both show consistent changes in the expression levels. Such patterns have been reported to be associated with the chromosomal aberrations and may be used in cancer diagnosis.

RESULTS

We compared 488 tumor and 222 normal samples from 7 microarray-based human breast cancer studies and detected the amplifications of 8q11.21, 14q32.11, 4q21.23, 18q11.2, Xq28, and the deletions of 3p24.1, 10q23.2 (BSCG1), 20p11.21, 9q21.13, and 1q41, which may be involved in the novel mechanisms of tumorigenesis. In addition, several known pathogenic genes, transcription factors (TFs), and microRNAs (miRNAs) associated with breast cancer were found.

CONCLUSIONS

This approach can be applied to other microarray studies, which provide a new and useful method for exploring chromosome structural variations in different types of diseases.