Overexpression of Human ABCB1 and ABCG2 Reduces the Susceptibility of Cancer Cells to the Histone Deacetylase 6-Specific Inhibitor Citarinostat.

Citarinostat (ACY-241) is a promising oral histone deacetylase 6 (HDAC6)-selective inhibitor currently in clinical trials for the treatment of multiple myeloma (MM) and non-small-cell lung cancer (NSCLC). However, the inevitable emergence of resistance to citarinostat may reduce its clinical effectiveness in cancer patients and limit its clinical usefulness in the future. In this study, we investigated the potential role of the multidrug efflux transporters ABCB1 and ABCG2, which are two of the most common mechanisms of acquired resistance to anticancer drugs, on the efficacy of citarinostat in human cancer cells. We discovered that the overexpression of ABCB1 or ABCG2 significantly reduced the sensitivity of human cancer cells to citarinostat. We demonstrated that the intracellular accumulation of citarinostat and its activity against HDAC6 were substantially reduced by the drug transport function of ABCB1 and ABCG2, which could be restored by treatment with an established inhibitor of ABCB1 or ABCG2, respectively. In conclusion, our results revealed a novel mechanism by which ABCB1 and ABCG2 actively transport citarinostat away from targeting HDAC6 in cancer cells. Our results suggest that the co-administration of citarinostat with a non-toxic modulator of ABCB1 and ABCG2 may optimize its therapeutic application in the clinic.

SARSA: a web tool for structural alignment of RNA using a structural alphabet.

SARSA is a web tool that can be used to align two or more RNA tertiary structures. The basic idea behind SARSA is that we use the vector quantization approach to derive a structural alphabet (SA) of 23 nucleotide conformations, via which we transform RNA 3D structures into 1D sequences of SA letters and then utilize classical sequence alignment methods to compare these 1D SA-encoded sequences and determine their structural similarities. In SARSA, we provide two RNA structural alignment tools, PARTS for pairwise alignment of RNA tertiary structures and MARTS for multiple alignment of RNA tertiary structures. Particularly in PARTS, we have implemented four kinds of pairwise alignments for a variety of practical applications: (i) global alignment for comparing whole structural similarity, (ii) semiglobal alignment for detecting structural motifs, (iii) local alignment for finding locally similar substructures and (iv) normalized local alignment for eliminating the mosaic effect of local alignment. Both tools in SARSA take as input RNA 3D structures in the PDB format and in their outputs provide graphical display that allows the user to visually view, rotate and enlarge the superposition of aligned RNA molecules. SARSA is available online at http://bioalgorithm.life.nctu.edu.tw/SARSA/.