Abstract Analysis of premalignant tissue has identified the typical order of somatic events
leading to invasive tumors in several cancer types. For other cancers, premalignant tissue is …

Head and neck squamous cell carcinoma (HNSCC) includes a subset of cancers driven by
human papillomavirus (HPV). Here we use single-cell RNA-seq to profile both HPV-positive …

Driver mutations alter cells from normal to cancer through several evolutionary epochs:
premalignancy, early malignancy, subclonal diversification, metastasis and resistance to …

Cancer develops through a process of somatic evolution,. Sequencing data from a single
biopsy represent a snapshot of this process that can reveal the timing of specific genomic …

Tumour cells are subjected to evolutionary selection pressures during progression from
initiation to metastasis. We analysed the clonal evolution of squamous skin carcinomas …

Despite extraordinary efforts to profile cancer genomes, interpreting the vast amount of
genomic data in the light of cancer evolution remains challenging. Here we demonstrate that …

The genomic evolution inherent to cancer relates directly to a renewed focus on the
voluminous next-generation sequencing data and machine learning for the inference of …

The earliest events during human tumour initiation, although poorly characterized, may hold
clues to malignancy detection and prevention. Here we model occult preneoplasia by …

Defining the pathways through which tumors progress is critical to our understanding and
treatment of cancer. We do not routinely sample patients at multiple time points during the …

Timely intervention for cancer requires knowledge of its earliest genetic aberrations.
Sequencing of tumors and their metastases reveals numerous abnormalities occurring late …