Dendritic platinum nanoparticles decorated electrochemical sensor for immensely sensitive determination of antineoplastic drug methotrexate

Methotrexate (MTX) is one of the most widely studied and effective therapeutics agents available to treat many solid tumors, hematologic malignancies, and autoimmune diseases such as rheumatoid arthritis; however, the poor pharmacokinetic and narrow safety margin of the drug limits the therapeutic outcomes of conventional drug delivery systems. For an improved delivery of MTX, several pathophysiological features such as angiogenesis, enhanced permeability and retention effects, acidosis, and expression of specific antigens and receptors can be used either as targets or as tools for drug delivery. There are many novel delivery systems developed to improve the pitfalls of MTX therapy ranged from polymeric conjugates such as human serum albumin, liposomes, microspheres, solid lipid nanoparticles, polymeric nanoparticles, dendrimers, polymeric micelles, in situ forming hydrogels, carrier erythrocyte, and nanotechnology-based vehicles such as carbon nanotubes, magnetic nanoparticles, and gold nanoparticles. Some are further modified with targeting ligands for active targeting purposes. Such delivery systems provide prolonged plasma profile, enhanced and specific activity in vitro and in vivo in animal models. Nevertheless, more complementary studies are needed before they can be applied in human. This review deals with the challenges of conventional systems and achievements of each pharmaceutical class of novel drug delivery vehicle.

Neoadjuvant chemotherapy for invasive bladder cancer, involving a regimen of methotrexate, vinblastine, doxorubicin, and cisplatin (M-VAC), can improve the resectability of larger neoplasms for some patients and offer a better prognosis. However, some suffer severe adverse drug reactions without any effect, and no method yet exists for predicting the response of an individual patient to chemotherapy. Our purpose in this study is to establish a method for predicting response to the M-VAC therapy. We analyzed gene expression profiles of biopsy materials from 27 invasive bladder cancers using a cDNA microarray consisting of 27,648 genes, after populations of cancer cells had been purified by laser microbeam microdissection. We identified dozens of genes that were expressed differently between nine "responder" and nine "nonresponder" tumors; from that list we selected the 14 "predictive" genes that showed the most significant differences and devised a numerical prediction scoring system that clearly separated the responder group from the nonresponder group. This system accurately predicted the drug responses of 8 of 9 test cases that were reserved from the original 27 cases. Because real-time reverse transcription-PCR data were highly concordant with the cDNA microarray data for those 14 genes, we developed a quantitative reverse transcription-PCR-based prediction system that could be feasible for routine clinical use. Our results suggest that the sensitivity of an invasive bladder cancer to the M-VAC neoadjuvant chemotherapy can be predicted by expression patterns in this set of genes, a step toward achievement of "personalized therapy" for treatment of this disease.