Syed Imran Haider

PRECISE is a European initiative to move cancer research beyond descriptive atlases toward predictive, mechanistically informed models of tumor vulnerability. By integrating patient cohorts, disease-relevant model systems, perturbation biology, multimodal profiling and artificial intelligence-driven inference, the PRECISE consortium aims to learn generalizable and predictive rules that govern genetic dependencies and synthetic lethality.

Abstract HORMAD1 expression is usually restricted to germ-line cells but is also aberrantly expressed in 60% of triple-negative breast cancers (TNBCs), where it is bi-modally expressed and associated with genomic instability. Here, we show that out-of-context HORMAD1 expression in mitotic cells perturbs mitotic arrest and generates aneuploidy.

Abstract To maintain cell fitness, deleterious genetic alterations are buffered by compensatory changes in additional genes. In cancer, buffering processes could be targeted by synthetic lethality. However, despite the large-scale identification of synthetic lethal effects in preclinical models, evidence that these operate clinically is limited. This impedes the application of synthetic lethal approaches.