Using drug-induced cell states to build therapeutic combinations against nervous system cancers

• Evidence is amounting that nervous system cancers are heterogeneous at the single cell level, yet data are currently scarce on how therapeutic agents affect this heterogeneity. Here, we describe a new, data-driven strategy to identify drugs that modulate the intratumoral heterogeneity of nervous system cancers. First, we demonstrate that drugs elicit structured changes in pathway activation in patient-derived cells from glioblastomas, neuroblastomas and medulloblastomas.  Second, we present a mathematical model to estimate how drugs induce changes in tumor heterogeneity, as defined by single cell RNA sequencing atlases of each disease. Finally, as an evaluation of our method we use it to identify candidate synergistic drug pairs based on the drugs' effects on intratumoral heterogeneity.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

Nyckelord

Glioblastoma

Neuroblastoma

Medulloblastoma

DRUG-Seq

Oncology

Onkologi

Publikations- och innehållstyp

vet (ämneskategori)

ovr (ämneskategori)