The use of tumor transcriptomics for precision oncology has made significant advances, mainly by identifying cancer driver genes or actionable mutations for treatment with targeted therapies.  However, this strategy misses out on broader genetic interactions that could reveal additional biologically testable biomarkers for therapy response prediction and inform the selection of more effective drugs for targeted treatment.

The development of precision medicine approaches for DLBCL (Diffuse Large B Cell Lymphoma) is complicated by its genetic, phenotypic and clinical heterogeneity. Current classification methods do not fully explain the observed differences in clinical outcomes to current chemotherapy and targeted therapy. Therefore, better analytical methods to classify and predict DLBCL patients’ treatment response are needed.

Traumatic brain injury (TBI) represents a major medical, social and economic concern worldwide due to significant mortality – especially among younger populations – and long-term disabilities. Various pathological brain lesions (e.g., intracerebral bleedings, necrotic-ischemic lesions, tissue avulsion) are produced by impacting mechanical forces. Among these, diffuse axonal injury (DAI) is one of the most significant brain lesions typically associated with trauma. However, DAI is not necessarily linked with TBI exposure. Therefore, the term “traumatic axonal injury (TAI)” is commonly used.

Primary mediastinal B-cell lymphoma (PMBCL) is an aggressive type of non-Hodgkin lymphoma that mostly occurs in people between the ages of 30-40. It accounts for 5-7% of all aggressive lymphomas. The diagnosis of PMBCL is challenging as the histological features of PMBCL overlap with diffuse large B-cell lymphoma (DLBCL), another most common type of non-Hodgkin lymphoma. Available evidence suggests that PMBCL responds much more favorably to the DA-EPOCH-R chemotherapy regimen than to the standard R-CHOP regimen used to treat DLBCL.

Molecular profiling with high throughput assays has gained utility in the management of select cancer patients and several gene expression-based assays are now marketed for improved prognostic accuracy for patients with cancer.

Optical traps (optical tweezers) have a focused laser beam able to trap a small bead at its focus, and are used to measure the microrheology of gels and other materials. They have recently been used to characterize properties of living cells, however issues of image spatial resolution and limited depth of interrogation have prevented application of an optical trap to measure microrheological (flow of matter) properties in complex (non-uniform) materials, such as multi-cellular systems or living organisms. 

The National Cancer Institute seeks parties interested in collaborative research to co-develop a method to generate RNA molecules suitable for nanoparticle and biomedical applications.

Current methods of labeling and synthesizing RNA do not allow for multiple labels or long RNA segments to be synthesized for large RNA on a milligram scale.

Mantle cell lymphoma (MCL) is a group of aggressive B-cell lymphomas displaying heterogeneous outcomes after treatment.  Some patients have the slowly progressing disease that does not require immediate treatment, while others have a disease that rapidly progresses despite highly aggressive treatment. A number of prognostic tools have been described to determine whether patients have slow or rapidly progressing diseases, including the mantle cell lymphoma International Prognostic Index (MIPI) and biomarkers, such as KI-67.

Researchers at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) developed an MRI-method that is based on the acquisition of multiple pulsed field gradient (m-PFG) rather than single-pulsed field gradient (s-PFG) MRI sequences. In particular, double PFG (dPFG) MRI sequences offer higher sensitivity and greater robustness, as they are more sensitive to the effects of “restriction;” i.e., to water trapped within the axon’s intracellular space, and thus to the diameter of the axons.