2021
DOI: 10.1101/2021.01.06.425608
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Network Analysis Reveals Synergistic Genetic Dependencies for Rational Combination Therapy in Philadelphia Chromosome-like Acute Lymphoblastic Leukemia

Abstract: Systems biology approaches can identify critical targets in complex cancer signaling networks to inform therapy combinations and overcome conventional treatment resistance. Herein, we developed a data-driven, network controllability-based approach to identify synergistic key regulator targets in Philadelphia chromosome-like B-acute lymphoblastic leukemia (Ph-like B-ALL), a high-risk leukemia subtype associated with hyperactive signal transduction and chemoresistance. Integrated analysis of 1,046 childhood B-AL… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 65 publications
0
1
0
Order By: Relevance
“…In a comprehensive study, 14 dysregulated network nodes involving apoptosis pathways, Ras/MAPK, JAK/STAT and other significant processes were identified. The co-targeting of these regulated network nodes presented an improved antileukemia effect [114]. This discovery also provides a rationale for combining JAK/STAT inhibitors with other drugs.…”
Section: Jak Inhibitor In Combination Therapies For Leukemia Treatmentmentioning
confidence: 85%
“…In a comprehensive study, 14 dysregulated network nodes involving apoptosis pathways, Ras/MAPK, JAK/STAT and other significant processes were identified. The co-targeting of these regulated network nodes presented an improved antileukemia effect [114]. This discovery also provides a rationale for combining JAK/STAT inhibitors with other drugs.…”
Section: Jak Inhibitor In Combination Therapies For Leukemia Treatmentmentioning
confidence: 85%