Mapping metabolic reprogramming in lung and breast cancer through integrative bioinformatics
Nosayba Al-Damook, Molham Sakkal, Mostafa Khair, Walaa K. Mousa, Rose Ghemrawi · 2026
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Description
Nosayba Al-Damook and colleagues mapped in 2026 how lung and breast cancers rewire their metabolism, using a combined bioinformatics pipeline. Cancer cells change energy and building-block pathways to grow fast and survive stress, yet patterns differ sharply by subtype. Public databases supplied gene activity, drug interaction, disease link, and protein network data. Four cancer settings were compared, including metastatic breast tumours.
Two lung subtypes leaned on sugar burning, with one also keeping strong oxygen-based energy production. Breast tumours favoured fat-building and growth pathways, while metastatic tumours adopted stress-defence programs. Several already-approved drugs matched metabolic genes in the interaction data presented. A central network hub linked glucose uptake, redox balance, and nucleotide production across cancers. Survival checks gave subtype-specific meaning to selected genes. The authors offer the framework for prioritizing targets, while noting validation gaps.
Catalog record
| CREATOR | Nosayba Al-Damook, Molham Sakkal, Mostafa Khair, Walaa K. Mousa, Rose Ghemrawi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |