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Showing 1–2 of 2 results
Advanced filters: Author: Katarzyna Kamieniecka Clear advanced filters

  • Cancer of unknown primary is difficult to treat due to high heterogeneity in treatment response depending on the original site. Here, the authors use DNA methylation data to develop a machine learning classifier to predict the tissue of origin from a single blood draw, allowing potential treatment changes to improve efficacy.

    • Alicia-Marie Conway
    • Simon P. Pearce
    • Dominic G. Rothwell
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-12

  • Dive and colleagues develop an approach for genome-wide cell-free DNA methylation profiling, which can sensitively detect small cell lung cancer in liquid biopsy of patient samples, including stage I disease and molecularly defined SCLC subtypes.

    • Francesca Chemi
    • Simon P. Pearce
    • Caroline Dive
    ResearchOpen Access
    Nature Cancer
    Volume: 3, P: 1260-1270