Evolving therapeutic landscape of advanced hepatocellular carcinoma
C Yang, H Zhang, L Zhang, AX Zhu… - Nature reviews …, 2023 - nature.com
Hepatocellular carcinoma (HCC) is one of the most common solid malignancies worldwide.
A large proportion of patients with HCC are diagnosed at advanced stages and are only …
A large proportion of patients with HCC are diagnosed at advanced stages and are only …
Genetic and non-genetic clonal diversity in cancer evolution
JRM Black, N McGranahan - Nature Reviews Cancer, 2021 - nature.com
The observation and analysis of intra-tumour heterogeneity (ITH), particularly in genomic
studies, has advanced our understanding of the evolutionary forces that shape cancer …
studies, has advanced our understanding of the evolutionary forces that shape cancer …
[HTML][HTML] Overcoming Cancer Multi-drug Resistance (MDR): Reasons, mechanisms, nanotherapeutic solutions, and challenges
C Duan, M Yu, J Xu, BY Li, Y Zhao… - Biomedicine & …, 2023 - Elsevier
Multi-drug resistance (MDR) in cancer cells, either intrinsic or acquired through various
mechanisms, significantly hinders the therapeutic efficacy of drugs. Typically, the reduced …
mechanisms, significantly hinders the therapeutic efficacy of drugs. Typically, the reduced …
Single-cell profiling of tumour evolution in multiple myeloma—opportunities for precision medicine
Multiple myeloma (MM) is a haematological malignancy of plasma cells characterized by
substantial intraclonal genetic heterogeneity. Although therapeutic advances made in the …
substantial intraclonal genetic heterogeneity. Although therapeutic advances made in the …
Clonal fitness inferred from time-series modelling of single-cell cancer genomes
Progress in defining genomic fitness landscapes in cancer, especially those defined by copy
number alterations (CNAs), has been impeded by lack of time-series single-cell sampling of …
number alterations (CNAs), has been impeded by lack of time-series single-cell sampling of …
Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is
essential for improving therapeutic outcomes. However, current machine-learning-based …
essential for improving therapeutic outcomes. However, current machine-learning-based …
A survey of open questions in adaptive therapy: Bridging mathematics and clinical translation
Adaptive therapy is a dynamic cancer treatment protocol that updates (or 'adapts') treatment
decisions in anticipation of evolving tumor dynamics. This broad term encompasses many …
decisions in anticipation of evolving tumor dynamics. This broad term encompasses many …
Harnessing the predictive power of preclinical models for oncology drug development
Recent progress in understanding the molecular basis of cellular processes, identification of
promising therapeutic targets and evolution of the regulatory landscape makes this an …
promising therapeutic targets and evolution of the regulatory landscape makes this an …
Multifunctional barcoding with ClonMapper enables high-resolution study of clonal dynamics during tumor evolution and treatment
C Gutierrez, AM Al'Khafaji, E Brenner, KE Johnson… - Nature Cancer, 2021 - nature.com
Lineage-tracing methods have enabled characterization of clonal dynamics in complex
populations, but generally lack the ability to integrate genomic, epigenomic and …
populations, but generally lack the ability to integrate genomic, epigenomic and …
Eg5 targeting agents: From new anti-mitotic based inhibitor discovery to cancer therapy and resistance
I Garcia-Saez, DA Skoufias - Biochemical Pharmacology, 2021 - Elsevier
Eg5, the product of Kif11 gene, also known as kinesin spindle protein, is a motor protein
involved in the proper establishment of a bipolar mitotic spindle. Eg5 is one of the 45 …
involved in the proper establishment of a bipolar mitotic spindle. Eg5 is one of the 45 …