Investigating subcellular transcriptional programs in triple negative breast cancer cells
Gene expression programs are fundamental for the right maintenance of the cell, in fact they are known to be aberrant in cancer cells. Until now, gene expression programs have been investigated in a limited manner. This work aims to achieve a more detailed characterization of these programs.
Loss of DOCK2 potentiates Inflammatory Bowel Disease–associated colorectal cancer via immune dysfunction and IFNγ induction of IDO1 expression
In this paper we identify Dock2 as an immune regulator in IBD-CRC, with potential therapeutic opportunity in this area of unmet clinical need.
A singular plasmonic-thermoelectric hollow nanostructure inducing apoptosis and cuproptosis for catalytic cancer therapy
A high-performance plasmonic-thermoelectric catalytic therapy utilizing copper vacancy-enriched Cu2−xSe hollow nanospheres. The accumulations of reactive oxygen species, heat and copper ions within cancer cells trigger cuproptosis and apoptosis, creating a synergistic therapeutic effect.
Unlocking the Power of Deep Learning for Multi-Omic Molecular Profiling: Insights from a Pan-Cancer Study
We investigated the capability of deep learning (DL) for molecular profiling using routine pathology images. Distilling results from over 4,000 biomarkers, we found that DL can establish status of many biomarkers across multiple cancers, indicating its potential for revolutionising patient care.
Unveiling the association between HMG-CoA reductase inhibitors and bladder cancer: A comprehensive analysis using Mendelian randomization, animal models, and transcriptomics
Our study identifies HMG-CoA reductase (HMGCR) inhibitors, particularly simvastatin, as potential agents for reducing bladder cancer (BLCA) risk, and provides potential insight for clinical practice for BLCA treatment or adjuvant therapy.
