Recurrent NTRK1 Gene Fusions Define a Novel Subset of Locally Aggressive Lipofibromatosis-like Neural Tumors

BRAF fusions define a distinct molecular subset of melanomas with potential sensitivity to MEK inhibition.

PURPOSE Recurrent "driver" mutations at specific loci in BRAF, NRAS, KIT, GNAQ, and GNA11 define clinically relevant molecular subsets of melanoma, but more than 30% are "pan-negative" for these recurrent mutations. We sought to identify additional potential drivers in "pan-negative" melanoma. EXPERIMENTAL DESIGN Using a targeted next-generation sequencing (NGS) assay (FoundationOne™) and tar...

Aggressive multimodality management of locally advanced retromolar trigone tumors.

BACKGROUND Retromolar trigone tumors are rare and aggressive malignancies. There is lack of quality evidence pertaining to their management due to the heterogeneity in treatment policies adopted. We retrospectively reviewed the patients of locally advanced retromolar trigone tumors treated with a standard and uniform multimodality management. METHODS A retrospective review of patients with lo...

TSC1/2 mutations define a molecular subset of HCC with aggressive behaviour and treatment implication

OBJECTIVE We investigated the mutational landscape of mammalian target of rapamycin (mTOR) signalling cascade in hepatocellular carcinomas (HCCs) with chronic HBV background, aiming to evaluate and delineate mutation-dependent mechanism of mTOR hyperactivation in hepatocarcinogenesis. DESIGN We performed next-generation sequencing on human HCC samples and cell line panel. Systematic mutationa...

Partially Connected Locally Recurrent Probabilistic Neural Networks

Locally Recurrent Neural Networks and Their Applications

After the introduction of the simplified computational model of a neuron in the early 1940’s (McCulloch & Pitts, 1943), various advanced models of neurons and derivative neural network structures were developed. Nowadays, i.e. sixty-five years later, there is a huge number of different neurons and immense number of neural networks, which differ by their building blocks, linkage, and structure. ...