Probing the biophysical interaction between Neocarzinostatin toxin and EpCAM RNA aptamer

Neocarzinostatin (NCS) a potent DNA-damaging, anti-tumor toxin extracted from Streptomyces carzinostaticus that recognizes double-stranded DNA bulge and induces DNA damage. 2 Fluoro (2F) Modified EpCAM RNA aptamer is a 23-mer that targets EpCAM protein, expressed on the surface of epithelial tumor cells. Understanding the interaction between NCS and the ligand is important for carrying out the targeted tumor therapy. In this study, we have investigated the biophysical interactions between NCS and 2-fluro Modified EpCAM RNA aptamer using Circular Dichroism (CD) and Infra-Red (IR) spectroscopy. The aromatic amino acid residues spanning the β sheets of NCS are found to participate in intermolecular interactions with 2 F Modified EpCAM RNA aptamer. In-silico modeling and simulation studies corroborate with CD spectra data. Furthermore, it reinforces the involvement of C and D1 strand of NCS in intermolecular interactions with EpCAM RNA aptamer. This the first report on interactions involved in the stabilization of NCS-EpCAM aptamer complex and will aid in the development of therapeutic modalities towards targeted cancer therapy.

The guardians of inherited oncogenic vulnerabilities

Similar to seemingly maladaptive genes in general, the persistence of inherited cancer-causing mutant alleles in populations remains a challenging question for evolutionary biologists. In addition to traditional explanations such as senescence or antagonistic pleiotropy, here we put forward a new hypothesis to explain the retention of oncogenic mutations. We propose that although natural defenses evolve to prevent neoplasm formation and progression thus increasing organismal fitness, they also conceal the effects of cancer-causing mutant alleles on fitness and concomitantly protect inherited ones from purging by purifying selection. We also argue for the importance of the ecological contexts experienced by individuals and/or species. These contexts determine the locally predominant fitness-reducing risks, and hence can aid the prediction of how natural selection will influence cancer outcomes.