Normalizing Input-Output Relationships of Cancer Networks for Reversion Therapy.
Ontology highlight
ABSTRACT: Accumulated genetic alterations in cancer cells distort cellular stimulus-response (or input-output) relationships, resulting in uncontrolled proliferation. However, the complex molecular interaction network within a cell implicates a possibility of restoring such distorted input-output relationships by rewiring the signal flow through controlling hidden molecular switches. Here, a system framework of analyzing cellular input-output relationships in consideration of various genetic alterations and identifying possible molecular switches that can normalize the distorted relationships based on Boolean network modeling and dynamics analysis is presented. Such reversion is demonstrated by the analysis of a number of cancer molecular networks together with a focused case study on bladder cancer
SUBMITTER: Joo JI
PROVIDER: S-EPMC10460890 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA