My patient was in his late 20s and dying of an advanced sarcoma. He came to our institution seeking a miracle—a cure for his incurable cancer. Despite second and third opinions, he never relinquished his hope that science would cure him. In this story, I explore how hope allowed my patient, and others like him, to reclaim their narratives and maintain their personhood in the face of serious…

Selpercatinib is a small molecule that binds at the RET kinase active site. It inhibits activity of constitutively dimerized RET fusion proteins and activated point mutants, thereby blocking downstream signals for proliferation and survival. It is the first selective RET inhibitor to be FDA approved for tumor agnostic targeting of oncogenic RET fusion proteins. To view this Bench to Bedside, open…

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Tumor-associated macrophages (TAMs) fuel the evolution of the cancer ecosystem. This review discusses recent advances in our knowledge of macrophages in the tumor microenvironment, broadly covering TAM functions, factors that shape macrophage heterogeneity, macrophage and tumor co-evolution, and therapeutic opportunities.

Machine learning offers exciting potential for improved cancer detection, prognosis, and the identification of optimized therapies for patients. This review discusses advances and applications in machine learning models and techniques for the rich imaging and molecular data from the clinical oncology workflow, reviews the regulatory process for approving machine learning methods for cancer…

The field of cancer metabolism provides us with a framework to understand basic cellular metabolic principles and pathways.