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A survey of open questions in adaptive therapy: Bridging mathematics and clinical translation
Adaptive therapy is a dynamic cancer treatment protocol that updates (or 'adapts') treatment
decisions in anticipation of evolving tumor dynamics. This broad term encompasses many …
decisions in anticipation of evolving tumor dynamics. This broad term encompasses many …
ERK pathway agonism for cancer therapy: evidence, insights, and a target discovery framework
At least 40% of human cancers are associated with aberrant ERK pathway activity (ERKp).
Inhibitors targeting various effectors within the ERKp have been developed and explored for …
Inhibitors targeting various effectors within the ERKp have been developed and explored for …
Single-cell characterization of the cellular landscape of acral melanoma identifies novel targets for immunotherapy
Purpose: Acral melanoma is a rare subtype of melanoma that arises on the non–hair-
bearing skin of the palms, soles, and nail beds. In this study, we used single-cell RNA …
bearing skin of the palms, soles, and nail beds. In this study, we used single-cell RNA …
Late-stage metastatic melanoma emerges through a diversity of evolutionary pathways
Understanding the evolutionary pathways to metastasis and resistance to immune-
checkpoint inhibitors (ICI) in melanoma is critical for improving outcomes. Here, we present …
checkpoint inhibitors (ICI) in melanoma is critical for improving outcomes. Here, we present …
Mathematical model-driven deep learning enables personalized adaptive therapy
Standard-of-care treatment regimens have long been designed for maximal cell killing, yet
these strategies often fail when applied to metastatic cancers due to the emergence of drug …
these strategies often fail when applied to metastatic cancers due to the emergence of drug …
Computational approaches to modelling and optimizing cancer treatment
Computational models can be applied to optimize treatment schedules and model treatment
responses in cancer therapy. In this Review, we provide an overview of such computational …
responses in cancer therapy. In this Review, we provide an overview of such computational …
Turnover modulates the need for a cost of resistance in adaptive therapy
Adaptive therapy seeks to exploit intratumoral competition to avoid, or at least delay, the
emergence of therapy resistance in cancer. Motivated by promising results in prostate …
emergence of therapy resistance in cancer. Motivated by promising results in prostate …
Disrupting cellular memory to overcome drug resistance
Gene expression states persist for varying lengths of time at the single-cell level, a
phenomenon known as gene expression memory. When cells switch states, losing memory …
phenomenon known as gene expression memory. When cells switch states, losing memory …
Treatment of evolving cancers will require dynamic decision support
Highlights•Cancer is a heterogeneous and evolving disease, yet most drugs are
administered to simply give the maximum dose.•Treatment scheduling currently ignores the …
administered to simply give the maximum dose.•Treatment scheduling currently ignores the …
Epigenetic alterations and mechanisms that drive resistance to targeted cancer therapies
Cancer is a complex disease and cancer cells typically harbor multiple genetic and
epigenetic alterations. Large-scale sequencing of patient-derived cancer samples has …
epigenetic alterations. Large-scale sequencing of patient-derived cancer samples has …