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Exploiting gene dependency to inform drug development for multiple myeloma
by
Kaiser, Martin F.
, Law, Philip J.
, Hoang, Phuc H.
, Houlston, Richard S.
, Went, Molly
in
631/67/1990/804
/ 631/67/68
/ Cancer
/ Clinical outcomes
/ CRISPR
/ Datasets
/ Drug development
/ Drug resistance
/ Epidemiology
/ Gene expression
/ Humanities and Social Sciences
/ Malignancy
/ Medical research
/ multidisciplinary
/ Multiple myeloma
/ Patients
/ Science
/ Science (multidisciplinary)
/ Therapeutic targets
/ Tumors
2022
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Exploiting gene dependency to inform drug development for multiple myeloma
by
Kaiser, Martin F.
, Law, Philip J.
, Hoang, Phuc H.
, Houlston, Richard S.
, Went, Molly
in
631/67/1990/804
/ 631/67/68
/ Cancer
/ Clinical outcomes
/ CRISPR
/ Datasets
/ Drug development
/ Drug resistance
/ Epidemiology
/ Gene expression
/ Humanities and Social Sciences
/ Malignancy
/ Medical research
/ multidisciplinary
/ Multiple myeloma
/ Patients
/ Science
/ Science (multidisciplinary)
/ Therapeutic targets
/ Tumors
2022
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Do you wish to request the book?
Exploiting gene dependency to inform drug development for multiple myeloma
by
Kaiser, Martin F.
, Law, Philip J.
, Hoang, Phuc H.
, Houlston, Richard S.
, Went, Molly
in
631/67/1990/804
/ 631/67/68
/ Cancer
/ Clinical outcomes
/ CRISPR
/ Datasets
/ Drug development
/ Drug resistance
/ Epidemiology
/ Gene expression
/ Humanities and Social Sciences
/ Malignancy
/ Medical research
/ multidisciplinary
/ Multiple myeloma
/ Patients
/ Science
/ Science (multidisciplinary)
/ Therapeutic targets
/ Tumors
2022
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Exploiting gene dependency to inform drug development for multiple myeloma
Journal Article
Exploiting gene dependency to inform drug development for multiple myeloma
2022
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Overview
Despite recent advances in therapy, multiple myeloma essentially remains an incurable malignancy. Targeting tumour-specific essential genes, which constitute a druggable dependency, potentially offers a strategy for developing new therapeutic agents to treat MM and overcome drug resistance. To explore this possibility, we analysed DepMap project data identifying 23 MM essential genes and examined the relationship between their expression and patient outcome in three independent series totalling 1503 cases. The expression of
TCF3
and
FLVCR1
were both significantly associated with progression-free survival.
IKBKB
is already a drug target in other diseases, offering the prospect of repurposing to treat MM, while
PIM2
is currently being investigated as a treatment for the disease. Our analysis supports the rationale of using large-scale genetic perturbation screens to guide the development of new therapeutic agents for MM.
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