Literature DB >> 33097661

Targeted CRISPR screening identifies PRMT5 as synthetic lethality combinatorial target with gemcitabine in pancreatic cancer cells.

Xiaolong Wei1, Jiekun Yang1, Sara J Adair2, Harun Ozturk3, Cem Kuscu4, Kyung Yong Lee1, William J Kane2, Patrick E O'Hara2, Denis Liu2, Yusuf Mert Demirlenk1, Alaa Hamdi Habieb1, Ebru Yilmaz1, Anindya Dutta1, Todd W Bauer2, Mazhar Adli5,3.   

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most challenging cancers to treat. Due to the asymptomatic nature of the disease and lack of curative treatment modalities, the 5-y survival rate of PDAC patients is one of the lowest of any cancer type. The recurrent genetic alterations in PDAC are yet to be targeted. Therefore, identification of effective drug combinations is desperately needed. Here, we performed an in vivo CRISPR screen in an orthotopic patient-derived xenograft (PDX) model to identify gene targets whose inhibition creates synergistic tumor growth inhibition with gemcitabine (Gem), a first- or second-line chemotherapeutic agent for PDAC treatment. The approach revealed protein arginine methyltransferase gene 5 (PRMT5) as an effective druggable candidate whose inhibition creates synergistic vulnerability of PDAC cells to Gem. Genetic depletion and pharmacological inhibition indicate that loss of PRMT5 activity synergistically enhances Gem cytotoxicity due to the accumulation of excessive DNA damage. At the molecular level, we show that inhibition of PRMT5 results in RPA depletion and impaired homology-directed DNA repair (HDR) activity. The combination (Gem + PRMT5 inhibition) creates conditional lethality and synergistic reduction of PDAC tumors in vivo. The findings demonstrate that unbiased genetic screenings combined with a clinically relevant model system is a practical approach in identifying synthetic lethal drug combinations for cancer treatment.

Entities:  

Keywords:  CRISPR screening; cancer genomics and epigenomics; combinatorial drugs targets; pancreatic cancer; synthetic lethality

Mesh:

Substances:

Year:  2020        PMID: 33097661      PMCID: PMC7668168          DOI: 10.1073/pnas.2009899117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  52 in total

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6.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

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9.  Genome-wide recessive genetic screening in mammalian cells with a lentiviral CRISPR-guide RNA library.

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Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

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Review 9.  Oncogenic KRAS blockade therapy: renewed enthusiasm and persistent challenges.

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10.  Negative Regulation of Erythroid Differentiation via the CBX8-TRIM28 Axis.

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