Targeting DLBCL by mutation-specific disruption of cancer-driving oncogenes

Diffuse large B cell lymphomas (DLBCL) are highly aggressive tumors. Their genetic complexity and heterogeneity have hampered the development of novel approaches for precision medicine. Our study aimed to develop a personalized therapy for DLBCL by utilizing the CRISPR/Cas system to induce knockouts (KO) of driver genes, thereby causing cancer cell death while minimizing side effects. We focused on OCI-LY3 cells, modeling DLBCL, and compared them with BJAB cells as controls. Analysis of whole exome sequencing revealed significant mutations in genes like <i>PAX5</i>, <i>CD79B</i>, and <i>MYC</i> in OCI-LY3 cells. CRISPR/Cas9-mediated KO of these genes resulted in reduced cancer cell viability. Subsequent single and dual gRNA targeting of <i>PAX5</i> mutations inhibited proliferation specifically in OCI-LY3 cells. Moreover, dual gRNA targeting of <i>PAX5</i> and <i>MYC</i> induced chromosomal rearrangements, reducing cell proliferation substantially. However, targeting single intronic mutations did not affect cell viability, highlighting the importance of disrupting protein function. Targeting multiple mutations simultaneously addresses intra-tumoral heterogeneity, and the transient delivery of CRISPR/Cas9 allows for permanent gene disruption. While challenges such as incomplete editing efficiency and delivery limitations exist, further optimization may enhance therapeutic efficacy. Overall, our findings demonstrate the efficacy of CRISPR/Cas9 in targeting oncogenic mutations, opening avenues for precision medicine in DLBCL treatment.

Authors

Publication Details

Journal
Frontiers in Genome Editing
Published
2024-10-14
DOI
https://doi.org/10.3389/fgeed.2024.1427322
Citations
2
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Targeting DLBCL by mutation-specific disruption of cancer-driving oncogenes

Arturo Macarrón Palacios, Sarita R. Patnaik, Niklas Schmidt, Najmeh Heshmatpour et al.
2 citations
Frontiers in Genome Editing
CRISPR and Genetic Engineering
0.47
article

Targeting DLBCL by mutation-specific disruption of cancer-driving oncogenes

Arturo Macarrón Palacios, Sarita R. Patnaik, Niklas Schmidt, Najmeh Heshmatpour, Sohrab Kazemi, Patrick Korus, Bodo G. C. Wilkens
article en
2 citations

Abstract

Diffuse large B cell lymphomas (DLBCL) are highly aggressive tumors. Their genetic complexity and heterogeneity have hampered the development of novel approaches for precision medicine. Our study aimed to develop a personalized therapy for DLBCL by utilizing the CRISPR/Cas system to induce knockouts (KO) of driver genes, thereby causing cancer cell death while minimizing side effects. We focused on OCI-LY3 cells, modeling DLBCL, and compared them with BJAB cells as controls. Analysis of whole exome sequencing revealed significant mutations in genes like <i>PAX5</i>, <i>CD79B</i>, and <i>MYC</i> in OCI-LY3 cells. CRISPR/Cas9-mediated KO of these genes resulted in reduced cancer cell viability. Subsequent single and dual gRNA targeting of <i>PAX5</i> mutations inhibited proliferation specifically in OCI-LY3 cells. Moreover, dual gRNA targeting of <i>PAX5</i> and <i>MYC</i> induced chromosomal rearrangements, reducing cell proliferation substantially. However, targeting single intronic mutations did not affect cell viability, highlighting the importance of disrupting protein function. Targeting multiple mutations simultaneously addresses intra-tumoral heterogeneity, and the transient delivery of CRISPR/Cas9 allows for permanent gene disruption. While challenges such as incomplete editing efficiency and delivery limitations exist, further optimization may enhance therapeutic efficacy. Overall, our findings demonstrate the efficacy of CRISPR/Cas9 in targeting oncogenic mutations, opening avenues for precision medicine in DLBCL treatment.

Frontiers in Genome EditingVol. 6
European Commission, European Regional Development Fund
Good health and well-being
Openalex Percentile: Top 35%
CRISPR and Genetic Engineering
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.