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Showing 1–14 of 14 results
Advanced filters: Author: "Nicholas McGranahan" Clear advanced filters

  • Analyses of the TRACERx study unveil the relationship between tissue morphology, the underlying evolutionary genomic landscape, and clinical and anatomical relapse risk of lung adenocarcinomas.

    • Takahiro Karasaki
    • David A. Moore
    • Mariam Jamal-Hanjani
    Research
    Nature Medicine
    Volume: 29, P: 833-845

  • Measurements of subclonal expansion of ctDNA in the plasma before surgery may enable the prediction of future metastatic subclones, offering the possibility for early intervention in patients with non-small-cell lung cancer.

    • Christopher Abbosh
    • Alexander M. Frankell
    • Charles Swanton
    Research
    Nature
    Volume: 616, P: 553-562

  • A 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.

    • Maise Al Bakir
    • Ariana Huebner
    • Charles Swanton
    ResearchOpen Access
    Nature
    Volume: 616, P: 534-542

  • Analyses 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.

    • Alexander M. Frankell
    • Michelle Dietzen
    • Charles Swanton
    ResearchOpen Access
    Nature
    Volume: 616, P: 525-533

  • Twelve early-career investigators share their thoughts on the challenges faced by their teams and communities during the past year, and look ahead to new opportunities for 2022.

    • Leila Akkari
    • Stacey D. Finley
    • Meng Michelle Xu
    Reviews
    Nature Cancer
    Volume: 2, P: 1278-1283

  • Chromosomal instability enables the continuous selection of somatic copy number alterations, which are established as ordered events that often occur in parallel, throughout tumour evolution and metastasis.

    • Thomas B. K. Watkins
    • Emilia L. Lim
    • Charles Swanton
    Research
    Nature
    Volume: 587, P: 126-132

  • Computational and machine-learning approaches that integrate genomic and transcriptomic variation from paired primary and metastatic non-small cell lung cancer samples from the TRACERx cohort reveal the role of transcriptional events in tumour evolution.

    • Carlos Martínez-Ruiz
    • James R. M. Black
    • Nicholas McGranahan
    ResearchOpen Access
    Nature
    Volume: 616, P: 543-552

  • RNA sequencing data and tumour pathology observations of non-small-cell lung cancers indicate that the immune cell microenvironment exerts strong evolutionary selection pressures that shape the immune-evasion capacity of tumours.

    • Rachel Rosenthal
    • Elizabeth Larose Cadieux
    • Andrew Kidd
    Research
    Nature
    Volume: 567, P: 479-485

  • A robust, cost-effective technique based on whole-exome sequencing data can be used to characterize immune infiltrates, relate the extent of these infiltrates to somatic changes in tumours, and enables prediction of tumour responses to immune checkpoint inhibition therapy.

    • Robert Bentham
    • Kevin Litchfield
    • Nicholas McGranahan
    Research
    Nature
    Volume: 597, P: 555-560

  • TRACERx Lung: Intratumoral transcriptional heterogeneity, which often hinders the development of clinically useful RNA-expression-biased biomarkers for cancer, can now be overcome with an approach for the identification of clonal expression biomarkers.

    • Dhruva Biswas
    • Nicolai J. Birkbak
    • Angeles Montero
    Research
    Nature Medicine
    Volume: 25, P: 1540-1548

  • This Review discusses the role of functional (impacting tumour phenotype) and non-functional intra-tumour heterogeneity (ITH) in cancer evolution, highlighting the importance of considering genetic and non-genetic factors and their impact on patient outcomes.

    • James R. M. Black
    • Nicholas McGranahan
    Reviews
    Nature Reviews Cancer
    Volume: 21, P: 379-392