12 research outputs found
Current and Emerging 3D Models to Study Breast Cancer
For decades 2D culture has been used to study breast cancer. In recent years, however, the importance of 3D culture to recapitulate the complexity of human disease has received attention. A breakthrough for 3D culture came as a result of a Nature editorial ‘Goodbye Flat Biology’ (Anonymous, Nature 424:861–861, 2003). Since then scientists have developed and implemented a range of different and more clinically relevant models, which are used to study breast cancer. In this chapter multiple different 3D models will be discussed including spheroids, microfluidic and bio-printed models and in silico models
Single-cell and single-molecule epigenomics to uncover genome regulation at unprecedented resolution
Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types
Targeting minimal residual disease: a path to cure?
Therapeutics that block kinases, transcriptional modifiers, immune checkpoints and other biological vulnerabilities are transforming cancer treatment. As a result, many patients achieve dramatic responses, including complete radiographical or pathological remission, yet retain minimal residual disease (MRD), which results in relapse. New functional approaches can characterize clonal heterogeneity and predict therapeutic sensitivity of MRD at a single-cell level. Preliminary evidence suggests that iterative detection, profiling and targeting of MRD would meaningfully improve outcomes and may even lead to cure.Koch Institute-Dana-Farber/Harvard Cancer Center Bridge ProjectNational Cancer Institute (U.S.) (R33 CA191143)National Cancer Institute (U.S.). Cancer Systems Biology Consortium (U54 CA217377