An increasing array of tools is being developed using artificial intelligence (AI) and machine
learning (ML) for cancer imaging. The development of an optimal tool requires …

Somatic mutations in cancer cells can generate tumour-specific neoepitopes, which are
recognized by autologous T cells in the host. As neoepitopes are not subject to central …

Liver metastasis, the leading cause of colorectal cancer mortality, exhibits a highly
heterogeneous and suppressive immune microenvironment. Here, we sequenced 97 …

Cancer metastasis is a biologically complex process that remains a major challenge in the
oncology clinic, accounting for nearly all of the mortality associated with malignant …

Metastatic progression is the main cause of death in cancer patients, whereas the
underlying genomic mechanisms driving metastasis remain largely unknown. Here, we …

Most (if not all) tumors emerge and progress under a strong evolutionary pressure imposed
by trophic, metabolic, immunological, and therapeutic factors. The relative impact of these …

Cancer immunoediting is a hallmark of cancer that predicts that lymphocytes kill more
immunogenic cancer cells to cause less immunogenic clones to dominate a population …

Comprehensive molecular analyses of metastatic hepatocellular carcinoma (HCC) are
lacking. Here, we generate multi-omic profiling of 257 primary and 176 metastatic regions …

Efforts to develop anti-cancer therapies have largely focused on targeting the epithelial
compartment, despite the presence of non-neoplastic stromal components that substantially …

Abstract 'Immune checkpoint blockade'for cancer describes the use of therapeutic antibodies
that disrupt negative immune regulatory checkpoints and unleash pre-existing antitumour …