Dynamic perturbation analysis: a modular rewiring framework for decoding cancer stage progression and identifying therapeutic vulnerabilities.

Dynamic perturbation analysis uncovers extensive modular rewiring in gastric cancer progression despite limited transcriptional changes, revealing key driver programs and regulators.

• Why it matters: Understanding molecular network reorganization beyond gene expression is crucial for identifying therapeutic targets and mechanisms driving disease progression, which current methods often overlook.
• What they did: The study applied dynamic perturbation analysis (DPA), a modular rewiring framework measuring the degree of perturbation across disease stages in gastric cancer, to identify progression-associated programs and regulators.
• The result: DPA identified two major disease-driving programs, validated roles for regulators PTPN12 and LINGO1, and uncovered the drug candidate PJ-34, enabling network-guided discovery of therapeutic vulnerabilities.