Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA - Nature

. C.S. is a Royal Society Napier Research Professor ; and is supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK , the UK Medical Research Council and the Wellcome Trust . For the purpose of Open Access, the author has applied a CC BY public copyright licence to any author accepted manuscript version arising from this submission. C.S.

Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USADepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USADepartment of Radiology, Freiburg University Hospital, Freiburg, GermanySophia Ward, Foteini Athanasopoulou & Jerome Nicod

Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UKBill Lyons Informatics Centre, University College London Cancer Institute, London, UKCancer Metastasis Laboratory, University College London Cancer Institute, London, UK Amrita Bajaj, Apostolos Nakas, Azmina Sodha-Ramdeen, Keng Ang, Mohamad Tufail, Mohammed Fiyaz Chowdhry, Molly Scotland, Rebecca Boyles, Sridhar Rathinam & Dean A. FennellClaire Wilson, Domenic Marrone, Sean Dulloo & Dean A.

Institute for Computational Cancer Biology, Center for Integrated Oncology , Cancer Research Center Cologne Essen , Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, GermanyRoland F. Schwarz & Tom L. Kaufmann

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Body composition and lung cancer-associated cachexia in TRACERx - Nature MedicineResults of the TRACERx study shed new light into the association between body composition and body weight with survival in individuals with non-small cell lung cancer, and delineate potential biological processes and mediators contributing to the development of cancer-associated cachexia.
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Evolutionary characterization of lung adenocarcinoma morphology in TRACERx - Nature MedicineAnalyses of the TRACERx study unveil the relationship between tissue morphology, the underlying evolutionary genomic landscape, and clinical and anatomical relapse risk of lung adenocarcinomas MariamJHanjani AACR23 LungCancer
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The evolution of lung cancer and impact of subclonal selection in TRACERx - NatureAnalyses of multiregional tumour samples from 421 patients with non-small cell lung cancer prospectively enrolled to the TRACERx study reveal determinants of tumour evolution and relationships between intratumour heterogeneity and clinical outcome.
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The evolution of non-small cell lung cancer metastases in TRACERx - NatureA longitudinal evolutionary analysis of 126 lung cancer patients with metastatic disease reveals the timing of metastatic divergence, modes of dissemination and the genomic events subject to selection during the metastatic transition.
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Molecular portraits of lung cancer evolutionThe TRACERx project reports data from studies tracking human lung cancer.
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