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Nik Matthews

Researcher at Francis Crick Institute

Publications -  42
Citations -  8241

Nik Matthews is an academic researcher from Francis Crick Institute. The author has contributed to research in topics: Cancer & Metastasis. The author has an hindex of 24, co-authored 38 publications receiving 6356 citations. Previous affiliations of Nik Matthews include London Research Institute & Institute of Cancer Research.

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Tracking the Evolution of Non–Small-Cell Lung Cancer

Mariam Jamal-Hanjani, +82 more
TL;DR: Intratumor heterogeneity mediated through chromosome instability was associated with an increased risk of recurrence or death, a finding that supports the potential value of chromosome instability as a prognostic predictor.
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Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution

Christopher Abbosh, +119 more
- 25 May 2017 - 
TL;DR: It is shown that phylogenetic ct DNA profiling tracks the subclonal nature of lung cancer relapse and metastasis, providing a new approach for ctDNA-driven therapeutic studies.
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Spatial and temporal diversity in genomic instability processes defines lung cancer evolution

TL;DR: 25 spatially distinct regions from seven operable NSCLCs were sequenced and found evidence of branched evolution, with driver mutations arising before and after subclonal diversification, and pronounced intratumor heterogeneity in copy number alterations, translocations, and mutations associated with APOBEC cytidine deaminase activity.
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Allele-Specific HLA Loss and Immune Escape in Lung Cancer Evolution

Nicholas McGranahan, +219 more
- 30 Nov 2017 - 
TL;DR: It is found that HLA LOH occurs in 40% of non-small-cell lung cancers (NSCLCs) and is associated with a high subclonal neoantigen burden, APOBEC-mediated mutagenesis, upregulation of cytolytic activity, and PD-L1 positivity.
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Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal

Samra Turajlic, +76 more
- 19 Apr 2018 - 
TL;DR: The insights reconcile the variable clinical behavior of ccRCC and suggest evolutionary potential as a biomarker for both intervention and surveillance and identify genetic diversity and chromosomal complexity as determinants of patient outcome.