Integrated hollow microneedle-optofluidic biosensor for therapeutic drug monitoring in sub-nanoliter volumes.

Therapeutic drug monitoring (TDM) typically requires painful blood drawn from patients. We propose a painless and minimally-invasive alternative for TDM using hollow microneedles suitable to extract extremely small volumes (<1 nL) of interstitial fluid to measure drug concentrations. The inner lumen of a microneedle is functionalized to be used as a micro-reactor during sample collection to trap and bind target drug candidates during extraction, without requirements of sample transfer.

Biomarkers in bladder cancer.

Cancer biomarkers provide an opportunity to diagnose tumours earlier and with greater accuracy. They can also identify those patients most at risk of disease recurrence and predict which tumours will respond to different therapeutic approaches. Such biomarkers will be especially useful in the diagnosis and management of bladder cancer.

Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancer.

Multiparameter analysis of core regulatory proteins involved in G1-S and G2-M cell-cycle transitions provides a powerful biomarker readout for assessment of the cell-cycle state. We have applied this algorithm to breast cancer to investigate how the cell cycle impacts on disease progression. Protein expression profiles of key constituents of the DNA replication licensing pathway (Mcm2, geminin) and mitotic machinery (Plk1, Aurora A and the Aurora substrate histone H3S10ph) were generated for a cohort of 182 patients and linked to clinicopathological parameters.

DNA replication licensing in peripheral B-cell lymphoma.

Peripheral B-cell lymphomas representing 90% of lymphoid neoplasms are divided into low- and high-growth fraction lymphomas. Here we investigate regulation of DNA replication licensing during B-cell lymphomagenesis. Combined analysis of origin licensing factors Mcm2 and geminin with the proliferation marker Ki67 in SLL/CLL, MCL, DLBCL and Burkitt lymphoma reveals for the first time the precise cell cycle state of these entities.