Traditionally, intertumour heterogeneity in breast cancer has been documented in terms of
different histological subtypes, treatment sensitivity profiles, and clinical outcomes among …

Advances in next-generation sequencing and bioinformatics have led to an unprecedented
view of the cancer genome and its evolution. Genomic studies have demonstrated the …

Cancer is often considered a genetic disease. However, much of the enormous plasticity of
cancer cells to evolve different phenotypes, to adapt to challenging microenvironments and …

The computational prediction of drug responses based on the analysis of multiple types of
genome-wide molecular data is vital for accomplishing the promise of precision medicine in …

Patient‐derived xenograft (PDX) models are widely used as preclinical cancer models and
are considered better than cell culture models in recapitulating the histological features …

Purpose: We evaluated whether next-generation sequencing (NGS) of circulating cell-free
DNA (cfDNA) could be used for patient selection and as a tumor clone response biomarker …

Background & Aims No targeted therapies have been found to be effective against
hepatocellular carcinoma (HCC), possibly due to the large degree of intratumor …

Drug delivery schedules are key factors in the efficacy of cancer therapies, and
mathematical modeling of population dynamics and treatment responses can be applied to …

Objective To accurately evaluate tumor heterogeneity, make multidimensional diagnosis
according to the causes and phenotypes of tumor heterogeneity, and assist in the …

Complex diseases like cancer are regulated by large, interconnected networks with many
pathways affecting cell proliferation, invasion, and drug resistance. However, current cancer …