Evidence map›Paper›PMID 35882937›Full record

ArticleScientific reports2022

Exploiting gene dependency to inform drug development for multiple myeloma.

Molly Went, Phuc H Hoang, Philip J Law, Martin F Kaiser, Richard S Houlston

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Molly WentDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK. molly.went@icr.ac.uk.
Phuc H HoangDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Philip J LawDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Martin F KaiserDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.

Funding

Cancer Research UK C1298/A8362
6 · The paper itself

Abstract

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.

Indexed as

Antineoplastic AgentsMultiple MyelomaDrug DevelopmentHumansAntineoplastic Agents

Identifiers

PMID35882937
PMCPMC9325789

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.