Browsing by author "Cresswell, George"
Now showing items 1-7 of 7
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EGFR amplification and outcome in a randomised phase III trial of chemotherapy alone or chemotherapy plus panitumumab for advanced gastro-oesophageal cancers.
Smyth, EC; Vlachogiannis, G; Hedayat, S; Harbery, A; Hulkki-Wilson, S; et al. (BMJ PUBLISHING GROUP, 2020-11-16)OBJECTIVE: Epidermal growth factor receptor (EGFR) inhibition may be effective in biomarker-selected populations of advanced gastro-oesophageal adenocarcinoma (aGEA) patients. Here, we tested the association between outcome ... -
Evolutionary dynamics of residual disease in human glioblastoma.
Spiteri, I; Caravagna, G; Cresswell, GD; Vatsiou, A; Nichol, D; et al. (OXFORD UNIV PRESS, 2019-03-01)BACKGROUND: Glioblastoma is the most common and aggressive adult brain malignancy against which conventional surgery and chemoradiation provide limited benefit. Even when a good treatment response is obtained, recurrence ... -
Exploiting evolutionary steering to induce collateral drug sensitivity in cancer.
Acar, A; Nichol, D; Fernandez-Mateos, J; Cresswell, GD; Barozzi, I; et al. (NATURE PORTFOLIO, 2020-04-21)Drug resistance mediated by clonal evolution is arguably the biggest problem in cancer therapy today. However, evolving resistance to one drug may come at a cost of decreased fecundity or increased sensitivity to another ... -
Mapping the breast cancer metastatic cascade onto ctDNA using genetic and epigenetic clonal tracking.
Cresswell, GD; Nichol, D; Spiteri, I; Tari, H; Zapata, L; et al. (NATURE PORTFOLIO, 2020-03-27)Circulating tumour DNA (ctDNA) allows tracking of the evolution of human cancers at high resolution, overcoming many limitations of tissue biopsies. However, exploiting ctDNA to determine how a patient's cancer is evolving ... -
Measuring single cell divisions in human tissues from multi-region sequencing data.
Werner, B; Case, J; Williams, MJ; Chkhaidze, K; Temko, D; et al. (NATURE PUBLISHING GROUP, 2020-02-25)Both normal tissue development and cancer growth are driven by a branching process of cell division and mutation accumulation that leads to intra-tissue genetic heterogeneity. However, quantifying somatic evolution in ... -
Subclonal reconstruction of tumors by using machine learning and population genetics.
Caravagna, G; Heide, T; Williams, MJ; Zapata, L; Nichol, D; et al. (NATURE PUBLISHING GROUP, 2020-09-01)Most cancer genomic data are generated from bulk samples composed of mixtures of cancer subpopulations, as well as normal cells. Subclonal reconstruction methods based on machine learning aim to separate those subpopulations ... -
The Spatiotemporal Evolution of Lymph Node Spread in Early Breast Cancer.
Barry, P; Vatsiou, A; Spiteri, I; Nichol, D; Cresswell, GD; et al. (SPRINGER, 2018-02-01)Purpose: The most significant prognostic factor in early breast cancer is lymph node involvement. This stage between localized and systemic disease is key to understanding breast cancer progression; however, our knowledge ...