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Volume 29 Issue 8, August 2023

T cell therapy

In this issue, Hassan et al. show that engineered HLA-independent T cells specific for mesothelin, an antigen that is overexpressed in many cancers, exhibit toxicities as well as anti-tumor activity in patients with treatment-refractory mesothelioma or ovarian cancer. The school of omnivorous koi fish on the cover represents the T cells, which are shown attacking a solid tumor.

See Raffit Hassan et al.

Image: Erina He, NIH Medical Arts. Cover design: Marina Spence

Editorial

  • Twenty years after completion of the Human Genome Project, genetics is rapidly being integrated into everyday clinical practice. But in this era of genomic revolution, genetically trained teams of healthcare workers are needed to optimize delivery of patient care.

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News & Views

  • In individuals with anorexia nervosa, psilocybin therapy comes with specific risks and concerns; but an encouraging phase 1 trial underscores the necessity for more research into classic psychedelics to address the urgent need for effective treatments.

    • Tomislav Majić
    • Stefan Ehrlich
    News & Views
  • Strategies to monitor and modulate gut microorganisms to improve immunity and responses to cancer immunotherapy are increasingly available, with opportunities to expand and iterate on these approaches to treat, intercept and prevent cancer (and other diseases) altogether.

    • Y. David Seo
    • Nadim Ajami
    • Jennifer A. Wargo
    News & Views
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Research Briefings

  • Cost-effective fluid biomarkers for tau aggregate pathology would improve the diagnostic and prognostic work-up of Alzheimer’s disease and facilitate the discovery of anti-tau therapies. We identified MTBR-tau243 as a specific marker for tau aggregate pathology that could be implemented in clinical practice and trials.

    Research Briefing
  • We performed gene therapy to induce expression of GDNF in the ventral tegmental area of rhesus monkey brains. Our approach countered the hypodopaminergic state that is associated with chronic alcohol drinking and reduced alcohol intake to fewer than two drinks per day while other ingestive behaviors remained intact. These findings, along with results from our ongoing clinical trials of GDNF gene therapy in other diseases, support future application of this approach in humans with alcohol-use disorder.

    Research Briefing
  • Alzheimer’s disease is a complex and chronic disease that evolves over decades. Proteomic analysis of cerebrospinal fluid from people with dominantly inherited forms of the disease reveals the temporal progression of pathological changes in Alzheimer’s disease and identifies extracellular matrix proteins as some of the earliest biomarkers of the disease.

    Research Briefing
  • We transplanted gene-edited porcine hearts into two brain-dead human recipients, then evaluated their cardiac function and immune response over the following 66 hours. Both hearts showed sustained cardiac function over the course of the study, without evidence of hyperacute rejection or zoonotic transmission.

    Research Briefing
  • OncoNPC, a machine learning classifier developed to predict the primary origin of tumors, made confident predictions for over 40% of cancers of unknown primary (CUP) cases analyzed. Patients with CUP who had received site-specific treatments that retrospectively matched the OncoNPC predictions had better outcomes than patients who had been treated with discordant site-specific therapies. OncoNPC predictions doubled the number of patients with CUP who would be eligible for genomically guided therapies.

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Review Articles

  • This review explains how large language models (LLMs), such as ChatGPT, are developed and discusses their strengths and limitations in the context of potential clinical applications.

    • Arun James Thirunavukarasu
    • Darren Shu Jeng Ting
    • Daniel Shu Wei Ting
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Brief Communications

  • A reinforcement learning model developed to adapt artificial intelligence (AI) predictions to human preferences showed better sensitivity for skin cancer diagnoses and improved management decisions compared to a supervised learning model.

    • Catarina Barata
    • Veronica Rotemberg
    • Harald Kittler
    Brief Communication Open Access
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