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Identifying and targeting collateral lethal vulnerabilities in cancers

Identifying and targeting collateral lethal vulnerabilities in cancers
识别并针对癌症的附带致命弱点
批准号:
10563469
负责人:
RONALD ANTHONY DEPINHO
金额:
$96.7万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-04-01 至 2028-03-31
关键词:
1p36ARID1A geneAdultAllelesApoptoticBiochemicalBiologicalBiological AssayCDKN2A geneCRISPR/Cas technologyCancer cell lineCell Culture TechniquesCell LineCell ProliferationCell SurvivalCell divisionCell physiologyCellsChromosomesCleavage Stimulation FactorClustered Regularly Interspaced Short Palindromic RepeatsCommon NeoplasmComplementComplexComputer AnalysisComputing MethodologiesCoupledCultured CellsDataDefectDependenceDiphosphatesEndoplasmic ReticulumEngineeringEnzymesEventExtinctionFaceGene DeletionGene FamilyGenesGeneticGenetic TranscriptionGenomeGenomicsGoalsHousekeepingHumanIndividualKnock-outLactate DehydrogenaseLigaseMADH4 geneMalignant NeoplasmsMammalian CellMapsMeasurementMeasuresMediatingMetabolismMethodsMitochondriaMitosisMitotic spindleModelingMonitorMusNF1 geneNF1 tumor suppressorNormal CellNuclear EnvelopeOrganoidsOrthologous GenePTEN genePatientsPhosphatidylserine SynthasePhosphatidylserinesPoly APolyadenylationProbabilityProteinsProteomicsPyruvateRB1 geneReiterated GenesRibose-Phosphate PyrophosphokinaseSample SizeSignal TransductionSurvival AnalysisSystemSystemic TherapyTP53 geneToxic effectTumor Suppressor GenesTumor Suppressor ProteinsU1 small nuclear RNAValidationcancer cellcancer therapycancer typecandidate validationdeep learningdesigndrug discoveryenzyme activitygain of functiongenome-widegenomic locusimproved outcomein vivolive cell imagingmRNA Precursormalic enzymemembermetabolomicsmodel organismmutantnew therapeutic targetnucleotide metabolismoverexpressionparalogous genepharmacologicpublic databasereceptor expressionresearch studyresponsescreeningsmall hairpin RNAtargeted treatmenttooltranscriptomicstumorvalidation studiesvectorwhole genome

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Identifying and targeting collateral lethal vulnerabilities in cancers Abstract/Summary Genomic deletions targeting major tumor suppressor genes frequently include adjacent passenger genes, encoding cell essential housekeeping functions. These cancer cells survive due to co-expressing functionally redundant paralogs residing in non-deleted regions of the genome. As such, these “collateral deletions” in tumor suppressor loci can confer cancer cell-specific vulnerabilities through targeted extinction of the remaining paralog. Our “collateral lethality” concept was first demonstrated in GBM with deletion of the 1p36 tumor suppressor locus encompassing ENO1, resulting in profound sensitivity to ENO2 depletion or pharmacologic inhibition (Muller et al. 2012). Subsequently, we demonstrated that deletion of mitochondrial malic enzyme 2 (ME2) in the SMAD4 locus engendered lethality upon shRNA-mediated depletion of the remaining mitochondrial malic enzyme activity encoded by the ME3 paralog (Dey et al. 2017). To systematically and comprehensively identify collateral lethal targets in cancer, we first analyzed the Broad Institute’s Cancer Dependency Map (DepMap), a publicly accessible database hosting essentiality scores of 17386 genes from a pooled genome- scale CRISPR knockout study conducted in 1054 cancer cell lines of diverse lineages (Dempster et al. 2019; Ghandi et al. 2019). The computational efforts yielded multiple collateral lethal candidate pairs including REEP3/4, PTDSS1/2, INTS6/INTS6L, PRPS1/2, LDHA/B, and CSTF2/CSTF2T via a two-class comparison method that regressed cell line sensitivity vectors against whole-genome CCLE expression and copy number data to predict paralog-depletion based sensitivity. While computational analysis of DepMap data can identify some candidate collateral lethal pairs, small sample sizes for many collateral deletions have stymied robust conclusions. Building on these computational methods, here we will apply the CRISPR/Cas12a polygenic knockout platform to systematically identify collateral lethal pairs anchored in deletion events targeting common tumor suppressor gene loci such as TP53, CDKN2A/B, ARID1A, PTEN, SMAD4, RB1 and NF1 across cancer types. This conceptual and experimental framework, coupled with a cell/organoid/tumor validation platform, seeks to identify and stringently validate collateral lethal target sets that can then be channeled into a drug discovery pipeline with the goal of expanding precision cancer treatments.
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