Home Study Course: Spring 2001

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72408/1/j.1526-0976.2001.005002105.x.pd

Aberrant Lck Signal via CD28 Costimulation Augments Antigen-Specific Functionality and Tumor Control by Redirected T Cells with PD-1 Blockade in Humanized Mice

Combination therapy of adoptively transferred redirected T cells and checkpoint inhibitors aims for higher response rates in tumors poorly responsive to immunotherapy like malignant pleural mesothelioma (MPM). Only most recently the issue of an optimally active chimeric antigen receptor (CAR) and the combination with checkpoint inhibitors is starting to be addressed. Fibroblast activation protein (FAP)-specific CARs with different costimulatory domains, including CD28, Δ-CD28 (lacking lck binding moiety), or 4-1BB were established. CAR-T cells were characterized and antitumor efficacy was tested in a humanized mouse model in combination with PD-1 blockade. Finally, the Δ-CD28 CAR was tested clinically in a patient with MPM. All the three CARs demonstrated FAP-specific functionality Gene expression data indicated a distinct activity profile for the Δ-CD28 CAR, including higher expression of genes involved in cell division, glycolysis, fatty acid oxidation, and oxidative phosphorylation. only T cells expressing the Δ-CD28 CAR in combination with PD-1 blockade controlled tumor growth. When injected into the pleural effusion of a patient with MPM, the Δ-CD28 CAR could be detected for up to 21 days and showed functionality. Overall, anti-FAP-Δ-CD28/CD3ζ CAR T cells revealed superior functionality, better tumor control in combination with PD-1 blockade in humanized mice, and persistence up to 21 days in a patient with MPM. Therefore, further clinical investigation of this optimized CAR is warranted

A Probabilistic, Distributed, Recursive Mechanism for Decision-making in the Brain

Decision formation recruits many brain regions, but the procedure they jointly execute is unknown. Here we characterize its essential composition, using as a framework a novel recursive Bayesian algorithm that makes decisions based on spike-trains with the statistics of those in sensory cortex (MT). Using it to simulate the random-dot-motion task, we demonstrate it quantitatively replicates the choice behaviour of monkeys, whilst predicting losses of otherwise usable information from MT. Its architecture maps to the recurrent cortico-basal-ganglia-thalamo-cortical loops, whose components are all implicated in decision-making. We show that the dynamics of its mapped computations match those of neural activity in the sensorimotor cortex and striatum during decisions, and forecast those of basal ganglia output and thalamus. This also predicts which aspects of neural dynamics are and are not part of inference. Our single-equation algorithm is probabilistic, distributed, recursive, and parallel. Its success at capturing anatomy, behaviour, and electrophysiology suggests that the mechanism implemented by the brain has these same characteristics

1993-1994: The Road to the USO

From left: Susan Haefner and Willaim DickThe Road to the USO;Grayscal