P. Selenica

This study uses spatial molecular profiling to show that mixed invasive ductal-lobular breast cancers have distinct molecular subtypes, oncogenic signatures, and mutations in different tumor regions, leading to prognostic uncertainty and therapeutic challenges.

This paper introduces a network curvature-based method to predict prognosis in high-grade serous ovarian cancer patients treated with immune checkpoint inhibitors using copy number alterations.