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 …

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 …

[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 …

Single-cell profiling of tumour evolution in multiple myeloma—opportunities for precision medicine

AK Dutta, JB Alberge, R Sklavenitis-Pistofidis… - Nature Reviews …, 2022 - nature.com
Multiple myeloma (MM) is a haematological malignancy of plasma cells characterized by
substantial intraclonal genetic heterogeneity. Although therapeutic advances made in the …

Clonal fitness inferred from time-series modelling of single-cell cancer genomes

S Salehi, F Kabeer, N Ceglia, M Andronescu… - Nature, 2021 - nature.com
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 …

Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients

JH Kong, H Lee, D Kim, SK Han, D Ha, K Shin… - Nature …, 2020 - nature.com
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is
essential for improving therapeutic outcomes. However, current machine-learning-based …

A survey of open questions in adaptive therapy: Bridging mathematics and clinical translation

J West, F Adler, J Gallaher, M Strobl, R Brady-Nicholls… - Elife, 2023 - elifesciences.org
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 …

Harnessing the predictive power of preclinical models for oncology drug development

A Honkala, SV Malhotra, S Kummar… - Nature reviews Drug …, 2022 - nature.com
Recent progress in understanding the molecular basis of cellular processes, identification of
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 …

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 …