Paralog-based synthetic lethality: rationales and applications

Autor: Yucui Xin, Yingsheng Zhang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Oncology, Vol 13 (2023)
Druh dokumentu: article
ISSN: 2234-943X
DOI: 10.3389/fonc.2023.1168143
Popis: Tumor cells can result from gene mutations and over-expression. Synthetic lethality (SL) offers a desirable setting where cancer cells bearing one mutated gene of an SL gene pair can be specifically targeted by disrupting the function of the other genes, while leaving wide-type normal cells unharmed. Paralogs, a set of homologous genes that have diverged from each other as a consequence of gene duplication, make the concept of SL feasible as the loss of one gene does not affect the cell’s survival. Furthermore, homozygous loss of paralogs in tumor cells is more frequent than singletons, making them ideal SL targets. Although high-throughput CRISPR-Cas9 screenings have uncovered numerous paralog-based SL pairs, the unclear mechanisms of targeting these gene pairs and the difficulty in finding specific inhibitors that exclusively target a single but not both paralogs hinder further clinical development. Here, we review the potential mechanisms of paralog-based SL given their function and genetic combination, and discuss the challenge and application prospects of paralog-based SL in cancer therapeutic discovery.
Databáze: Directory of Open Access Journals