[HTML][HTML] A tale of two cancers: A current concise overview of breast and prostate cancer

F De Silva, J Alcorn - Cancers, 2022 - mdpi.com
Simple Summary Breast and prostate cancers are serious public health issues that create
considerable burden to both people and healthcare systems worldwide. Cancer is a …

[HTML][HTML] Capitalizing on synthetic lethality of MYC to treat cancer in the digital age

DKH Thng, TB Toh, EKH Chow - Trends in pharmacological sciences, 2021 - cell.com
Deregulation of MYC is among the most frequent oncogenic drivers of cancer. Developing
targeted therapies against MYC is, therefore, one of the most critical unmet needs of cancer …

[HTML][HTML] Vitamin B5 supports MYC oncogenic metabolism and tumor progression in breast cancer

P Kreuzaler, P Inglese, A Ghanate, E Gjelaj, V Wu… - Nature …, 2023 - nature.com
Tumors are intrinsically heterogeneous and it is well established that this directs their
evolution, hinders their classification and frustrates therapy,–. Consequently, spatially …

Executable cancer models: successes and challenges

MA Clarke, J Fisher - Nature Reviews Cancer, 2020 - nature.com
Making decisions on how best to treat cancer patients requires the integration of different
data sets, including genomic profiles, tumour histopathology, radiological images, proteomic …

Efficacy of pH-sensitive nanomedicines in tumors with different c-MYC expression depends on the intratumoral activation profile

H Shibasaki, H Kinoh, H Cabral, S Quader… - ACS …, 2021 - ACS Publications
Effective inhibition of the protein derived from cellular myelocytomatosis oncogene (c-Myc) is
one of the most sought-after goals in cancer therapy. While several c-Myc inhibitors have …

Localized immune surveillance of primary melanoma in the skin deciphered through executable modeling

R Howell, J Davies, MA Clarke, A Appios… - Science …, 2023 - science.org
While skin is a site of active immune surveillance, primary melanomas often escape
detection. Here, we have developed an in silico model to determine the local cross-talk …

Clonal interactions in cancer: Integrating quantitative models with experimental and clinical data

ND Lee, K Kaveh, I Bozic - Seminars in Cancer Biology, 2023 - Elsevier
Tumors consist of different genotypically distinct subpopulations—or subclones—of cells.
These subclones can influence neighboring clones in a process called “clonal interaction.” …

Trap spaces of multi-valued networks: definition, computation, and applications

VG Trinh, B Benhamou, T Henzinger, S Pastva - Bioinformatics, 2023 - academic.oup.com
Motivation Boolean networks are simple but efficient mathematical formalism for modelling
complex biological systems. However, having only two levels of activation is sometimes not …

[HTML][HTML] Executable network of SARS-CoV-2-host interaction predicts drug combination treatments

R Howell, MA Clarke, AK Reuschl, T Chen… - NPJ Digital …, 2022 - nature.com
The COVID-19 pandemic has pushed healthcare systems globally to a breaking point. The
urgent need for effective and affordable COVID-19 treatments calls for repurposing …

[HTML][HTML] Quantitative modeling to understand cell signaling in the tumor microenvironment

M Song, D Li, SZ Makaryan, SD Finley - Current Opinion in Systems …, 2021 - Elsevier
Tumor cells play a central role in multiple processes associated with cancer progression.
They continuously interact with surrounding cells and the extracellular matrix, displaying …