SLC29A2 (Solute Carrier Family 29 Member 2)

Ion channels and ecDNA are central to the disease progression and treatment resistance of PCa through regulation of EMT, CSC phenotype, and tumor microenvironment (TME) interactions. Targeting the drivers-through ion channel modulators, ferroptosis induction, and ecDNA-targeting interventions (BET/HDAC inhibitors, CRISPR-based methods) offers a promising way to overcome resistance. Integration of multi-omics, and combination treatments will be key to construct precision medicine strategies and improve clinical outcomes in advanced PCa.

It was stated that the AHR, EPHX1, GSTP1, and SLC25A32 did not correlate in healthy intestinal tissue whereas AHCY, ALDH1A1, NNMT, GSTM4, UGT2B17, and SLCO1B3 did not correlate in CRC. The disturbed transcriptional activity of genes related to the biotransformation process at all stages of CRC suggests that this may be the cause of its occurrence; the genes ought to be taken into account in preventive strategies and the treatment of patients.

These include the knockout of SLC29A2, SGMS1, CRLS1, and the RNF20-RNF40 complex, alongside upregulation of CERK and PIKFYVE. The proposed integrative strategy offers novel therapeutic avenues that address both tumor progression and cancer-associated cachexia, with improved specificity and reduced off-target effects, thereby contributing to translational oncology.

This resulted in the identification of the Food and Drug Administration-approved drugs isradipine, avanafil, and istradefylline as inhibitors of ENT1. We have screened over 1600 diverse molecules, allowing us to build machine learning models that in turn were further used to make predictions to validate the models. Our combined experimental and machine learning approach resulted in the identification of multiple Food and Drug Administration-approved medications as inhibitors of ENT1 or ENT2.

Knowledge of TRIAC transporter expression patterns, also during brain development, may thus in the future help to interpret observations on TRIAC effects as well as understand why TRIAC may not show a desirable effect on cells or organs not expressing appropriate transporters. The identification of ABCD1 highlights the sensitivity of our established screening assay, but it may not hold significant relevance for patients undergoing TRIAC treatment.

Further analysis showed that the prognostic risk score model was associated with immune cell infiltration. These findings suggest that the scoring model and essential risk genes could provide potential prognostic biomarkers for patients with acute myeloid leukemia.

SLC22A9 and SLC29A2 are expressed in organs and cells known to respond to TRIAC treatment. Hence, we propose that we have identified relevant TRIAC transporters in human. The identification of ABCD1 underlines the sensitivity and potential of the screening assay.