Making decisions on how best to treat cancer patients requires the integration of different
data sets, including genomic profiles, tumour histopathology, radiological images, proteomic …

Accelerating technological advances have allowed the widespread genomic profiling of
tumors. As yet, however, the vast catalogues of mutations that have been identified have …

The type and genomic context of cancer mutations depend on their causes. These causes
have been characterized using signatures that represent mutation types that co-occur in the …

Background: Artificial intelligence (AI) now plays a critical role in almost every area of our
daily lives and academic disciplines due to the growth of computing power, advances in …

Exquisite regulation of PI3K/AKT/mTORC1 signaling is essential for homeostatic control of
cell growth, proliferation, and survival. Aberrant activation of this signaling network is an …

The introduction of first-line combinations had improved the outcomes for metastatic renal
cell carcinoma (mRCC) compared to sunitinib. However, some patients either have inherent …

Cancer cell populations evolve by a stepwise process involving natural selection of the fittest
variants within a tissue ecosystem context and as modified by therapy. Genomic scrutiny of …

Pancreatic neuroendocrine tumors (PanNETs), though uncommon, have a high likelihood of
spreading to other body parts. Previously, the genetic diversity and evolutionary patterns in …

The poor prognosis of pancreatic ductal adenocarcinoma (PDAC) is associated with the
tumour heterogeneity. To explore intra‐and inter‐tumoural heterogeneity in PDAC, we …

The multi-omics molecular characterization of cancer opened a new horizon for our
understanding of cancer biology and therapeutic strategies. However, a tumor biopsy …