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Volume 29 Issue 4, April 2023

TRACERx lung cancer

Two papers in this issue, by Jamal-Hanjani and colleagues and Al-Sawaf et al., leverage data from the TRACERx lung cancer study to explore the relationships between tissue morphology and the underlying genetic landscape of lung adenocarcinomas and between cancer-associated cachexia and body composition in patients with non–small-cell lung cancer, respectively. The abstract watercolor image on the cover shows a pair of lungs with two tumors, highlighting their spread through air spaces, as well as the effects of cachexia on the diaphragm and adipose tissues.

See Karasaki et al. and Swanton et al.

Image: Niámh Mundy, Phospho Biomedical Animation. Cover design: Marina Spence

Editorial

  • Dietary interventions have the potential to treat a wide variety of chronic conditions and diseases, but generating strong evidence and a framework for their integration into health systems will be critical for their success.

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News & Views

  • The composition of the intestinal microbiome may predict clinical outcomes of CAR-T cell therapy for lymphoma, which could inform microbiota-based intervention strategies.

    • Zachariah DeFilipp
    • Marcela V. Maus
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  • Integrative approaches continue to improve diagnostic accuracy for pediatric brain cancers, but much more is needed from researchers, governments and regulators if precision medicine with curative treatments are to become a reality.

    • Pratiti Bandopadhayay
    • Elaine R. Mardis
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  • A new study highlights the importance of dietary intake and a health-promoting food environment for diabetes prevention, but translating this into meaningful outcomes requires urgent government action.

    • Andrew N. Reynolds
    • Jim Mann
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Research Briefings

  • We used deep neural networks trained on optical histology and open-source genomic data to predict the molecular genetics of brain tumors during surgery. Our results represent how AI-based diagnostics can provide a valuable adjunct to wet laboratory methods for molecular testing in patients with cancer.

    Research Briefing
  • Lung adenocarcinomas (LUADs) encompass a broad spectrum of histological appearances. We use multi-region, prospective and longitudinal sampling from the TRACERx dataset to show the relationship between LUAD morphologies and their underlying evolutionary genomic landscape, as well as clinical risk and the nature of metastatic dissemination.

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  • Data from circulating tumor DNA (ctDNA) testing were generated for over 1,900 samples across at least 3 time points in a phase 3 clinical trial and used to build a machine learning model to predict patient survival. The model accurately identified patients with a high risk of disease recurrence and could provide a basis for assigning therapies in phase 1/2 clinical trials.

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  • A large meta-analysis of genome-wide association studies (N >40,000) on perivascular space (PVS) burden, an emerging brain imaging marker of cerebral small vessel disease, has revealed 24 genetic risk loci for extensive PVS burden. These findings provide novel insights into the biology and clinical significance of this trait.

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  • Body mass index (BMI) is a clinically useful obesity measure that shows an association with healthspan and lifespan. We developed ‘biological BMI’ scores, calculated from multi-omics data (proteins and metabolites) and clinical laboratory tests from blood. We show that a biological BMI more accurately reflects metabolic health and is more responsive to lifestyle changes than a classically measured BMI.

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Perspectives

  • The authors describe a localized toxicity syndrome that is associated with immunotherapy treatment for CNS tumors and propose a new grading scale—with the goal of promoting research and standardizing both reporting and management.

    • Jasia Mahdi
    • Jorg Dietrich
    • Michelle Monje
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