©The Author(s) 2025.
World J Clin Oncol. Nov 24, 2025; 16(11): 111983
Published online Nov 24, 2025. doi: 10.5306/wjco.v16.i11.111983
Published online Nov 24, 2025. doi: 10.5306/wjco.v16.i11.111983
Table 1 Genomic and biological distinctions across machine learning-derived clusters
| Cluster | Enriched genes | Pathogenic mechanism | Sample count |
| Cluster 1 | BRCA2, TP53, EGFR | Genomic instability | 2 |
| Cluster 2 | TET2, DNMT3A, IDH1/2 | Epigenetic deregulation | 2 |
| Cluster 3 | JAK2, CBL, CSF3R | Cytokine signaling | 3 |
- Citation: AlGarni A, Alanazi N, AlMukhaylid S, Alqahtani S, Almasoudi H, Samir Taleb Y, Alkhamis N, Shaheen S, Haji Siyal A, Aleem A, Naeem R, Shammas MA, Saglio G, Alroweilly D, Hussain A, Iqbal Z. Omics and artificial intelligence integration for stratifying blast crisis CML using COSMIC signatures and pan-cancer precision drug repurposing. World J Clin Oncol 2025; 16(11): 111983
- URL: https://www.wjgnet.com/2218-4333/full/v16/i11/111983.htm
- DOI: https://dx.doi.org/10.5306/wjco.v16.i11.111983