[HTML][HTML] A systematic review of computational approaches to understand cancer biology for informed drug repurposing

F Ahmed, A Samantasinghar, AM Soomro, S Kim… - Journal of Biomedical …, 2023 - Elsevier
Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …

Redrawing therapeutic boundaries: microbiota and cancer

J Sholl, GD Sepich-Poore, R Knight, T Pradeu - Trends in cancer, 2022 - cell.com
The unexpected roles of the microbiota in cancer challenge explanations of carcinogenesis
that focus on tumor-intrinsic properties. Most tumors contain bacteria and viruses, and the …

Targeting HIF1-alpha/miR-326/ITGA5 axis potentiates chemotherapy response in triple-negative breast cancer

R Assidicky, UM Tokat, IO Tarman, O Saatci… - Breast cancer research …, 2022 - Springer
Purpose Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast
cancer that is frequently treated with chemotherapy. However, many patients exhibit either …

A systems approach to brain tumor treatment

JH Park, ALG de Lomana, DM Marzese, T Juarez… - Cancers, 2021 - mdpi.com
Simple Summary Pronounced differences across individuals (interpatient variability) and cell–
cell heterogeneity within a tumor (intratumoral heterogeneity) severely hinder effective brain …

Clinical trial design: Past, present, and future in the context of big data and precision medicine

A Li, RC Bergan - Cancer, 2020 - Wiley Online Library
Clinical trials are fundamental for advances in cancer treatment. The traditional framework of
phase 1 to 3 trials is designed for incremental advances between regimens. However, our …

Cancer systems epidemiology: Overcoming misconceptions and integrating systems approaches into cancer research

PL Mabry, NP Pronk, CI Amos, JS Witte… - PLoS …, 2022 - journals.plos.org
Cancer systems epidemiology: Overcoming misconceptions and integrating systems
approaches into cancer research | PLOS Medicine Skip to main content Advertisement …

A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer

J Gómez Tejeda Zañudo, M Scaltriti, R Albert - Cancer convergence, 2017 - Springer
Background Mechanistic models of within-cell signal transduction networks can explain how
these networks integrate internal and external inputs to give rise to the appropriate cellular …

[HTML][HTML] Classification of widely and rarely expressed genes with recurrent neural network

L Chen, XY Pan, YH Zhang, M Liu, T Huang… - Computational and …, 2019 - Elsevier
A tissue-specific gene expression shapes the formation of tissues, while gene expression
changes reflect the immune response of the human body to environmental stimulations or …

Multi-approach bioinformatics analysis of curated omics data provides a gene expression panorama for multiple cancer types

BC Feltes, JF Poloni, IJG Nunes, SS Faria… - Frontiers in genetics, 2020 - frontiersin.org
Studies describing the expression patterns and biomarkers for the tumoral process increase
in number every year. The availability of new datasets, although essential, also creates a …

RNN-CNN based cancer prediction model for gene expression

T Thakur, I Batra, A Malik, D Ghimire, SH Kim… - IEEE …, 2023 - ieeexplore.ieee.org
One of those illnesses that is most deadly to people is cancer. The only way to prevent any
harm to humanity is by its early discovery and treatment. Various types of tests are …