Back

Therapeutic Potential of PRMT1 as a Critical Survival Dependency Target in Multiple Myeloma

Hussain, T.; Awasthi, S.; Shahid, F.; Yi, S. S.; Sahni, N.; Aldaz, C. M.

2025-02-01 cancer biology
10.1101/2025.01.29.635603 bioRxiv
Show abstract

Multiple myeloma (MM) is a neoplasm of antibody-producing plasma cells and is the second most prevalent hematological malignancy worldwide. Development of drug resistance and disease relapse significantly impede the success of MM treatment, highlighting the critical need to discover novel therapeutic targets. In a custom CRISPR/Cas9 screen targeting 197 DNA damage response-related genes, Protein Arginine N-Methyltransferase 1 (PRMT1) emerged as a top hit, revealing it as a potential therapeutic vulnerability and survival dependency in MM cells. PRMT1, a major Type I PRMT enzyme, catalyzes the asymmetric transfer of methyl groups to arginine residues, influencing gene transcription and protein function through post-translational modification. Dysregulation or overexpression of PRMT1 has been observed in various malignancies including MM and is linked to chemoresistance. Treatment with the Type I PRMT inhibitor GSK3368715 resulted in a dose-dependent reduction in cell survival across a panel of MM cell lines. This was accompanied by reduced levels of asymmetric dimethylation of arginine (ADMA) and increased arginine monomethylation (MMA) in MM cells. Cell cycle analysis revealed an accumulation of cells in the G0/G1 phase and a reduction in the S phase upon GSK3368715 treatment. Additionally, PRMT1 inhibition led to a significant downregulation of genes involved in cell proliferation, DNA replication, and DNA damage response (DDR), likely inducing genomic instability and impairing tumor growth. This was supported by Reverse Phase Protein Array (RPPA) analyses, which revealed a significant reduction in levels of proteins associated with cell cycle regulation and DDR pathways. Overall, our findings indicate that MM cells critically depend on PRMT1 for survival, highlighting the therapeutic potential of PRMT1 inhibition in treating MM.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Blood Cancer Journal
11 papers in training set
Top 0.1%
10.7%
2
Blood Advances
54 papers in training set
Top 0.1%
10.4%
3
Clinical Epigenetics
53 papers in training set
Top 0.2%
5.0%
4
Cancers
200 papers in training set
Top 1%
4.3%
5
Blood
67 papers in training set
Top 0.4%
4.1%
6
Nature Communications
4913 papers in training set
Top 42%
3.2%
7
Leukemia
39 papers in training set
Top 0.3%
3.2%
8
Computers in Biology and Medicine
120 papers in training set
Top 1%
2.8%
9
Journal of Hematology & Oncology
10 papers in training set
Top 0.1%
2.1%
10
Haematologica
24 papers in training set
Top 0.2%
1.9%
11
Cells
232 papers in training set
Top 2%
1.9%
12
Frontiers in Oncology
95 papers in training set
Top 2%
1.9%
50% of probability mass above
13
Scientific Reports
3102 papers in training set
Top 56%
1.7%
14
Antibody Therapeutics
16 papers in training set
Top 0.2%
1.7%
15
Biomedicine & Pharmacotherapy
43 papers in training set
Top 0.4%
1.7%
16
npj Precision Oncology
48 papers in training set
Top 0.6%
1.5%
17
Molecular Cancer Research
42 papers in training set
Top 0.4%
1.4%
18
PLOS ONE
4510 papers in training set
Top 58%
1.4%
19
British Journal of Haematology
15 papers in training set
Top 0.3%
1.4%
20
Cell Communication and Signaling
35 papers in training set
Top 0.6%
1.4%
21
Neuro-Oncology
30 papers in training set
Top 0.5%
1.3%
22
Cancer Research Communications
46 papers in training set
Top 0.7%
1.3%
23
Clinical and Translational Medicine
30 papers in training set
Top 0.6%
1.1%
24
EMBO Molecular Medicine
85 papers in training set
Top 3%
1.0%
25
eLife
5422 papers in training set
Top 51%
1.0%
26
Molecular Oncology
50 papers in training set
Top 0.7%
0.9%
27
Cell Death & Disease
126 papers in training set
Top 2%
0.9%
28
Genome Medicine
154 papers in training set
Top 7%
0.8%
29
Oncogene
76 papers in training set
Top 2%
0.8%
30
International Journal of Molecular Sciences
453 papers in training set
Top 14%
0.8%