grant

Project 3: The role of microenvironmental metabolites on metastatic progression

Organization ROCKEFELLER UNIVERSITYLocation NEW YORK, UNITED STATESPosted 23 Sept 2021Deadline 31 Aug 2026
NIHUS FederalResearch GrantFY20254T1AddressAffinityAreaBody TissuesBreastBreast Cancer CellBreast MetastasisCRISPRCRISPR approachCRISPR based approachCRISPR editing screenCRISPR methodCRISPR methodologyCRISPR screenCRISPR techniqueCRISPR technologyCRISPR toolsCRISPR-CAS-9CRISPR-based methodCRISPR-based screenCRISPR-based techniqueCRISPR-based technologyCRISPR-based toolCRISPR/CAS approachCRISPR/Cas methodCRISPR/Cas systemCRISPR/Cas technologyCRISPR/Cas9CRISPR/Cas9 screenCRISPR/Cas9 technologyCancer ModelCancerModelCas nuclease technologyCell BodyCell CommunicationCell InteractionCell-to-Cell InteractionCellsClinicalClustered Regularly Interspaced Short Palindromic RepeatsClustered Regularly Interspaced Short Palindromic Repeats approachClustered Regularly Interspaced Short Palindromic Repeats methodClustered Regularly Interspaced Short Palindromic Repeats methodologyClustered Regularly Interspaced Short Palindromic Repeats techniqueClustered Regularly Interspaced Short Palindromic Repeats technologyColon CancerColon CarcinomaComputational BiologyDependenceDistantEnvironmentEnzyme GeneEnzymesExpression SignatureGene Expression ProfileGenesGeneticGenetic ScreeningGoalsHepatic Neoplasm SecondaryHepatic metastasisIntermediary MetabolismKnowledgeLiverLiver secondariesLiver secondary cancerLungLung Respiratory SystemMC-38MC38Malignant CellMapsMetabolicMetabolic ProcessesMetabolic stressMetabolismMetastasisMetastasis to the LungMetastasizeMetastatic LesionMetastatic MassMetastatic NeoplasmMetastatic Neoplasm to the LiverMetastatic Neoplasm to the LungMetastatic TumorMetastatic Tumor to the LiverMetastatic Tumor to the LungMetastatic malignant neoplasm to liverMethodsModelingMolecularNeoplasm Circulating CellsNeoplasm MetastasisNon-MalignantNormal CellNutrientNutrient availabilityO elementO2 elementOrganOrganellesOxygenPathway interactionsPopulationProcessRepressionRoleSecondary NeoplasmSecondary TumorSingle cell seqSiteStarvationSystemTechniquesTestingTherapeuticTissuesTumor CellWorkbreast cancer metastasisbreast tumor cellcancer cellcancer heterogeneitycancer in the coloncancer metastasiscell typecirculating neoplastic cellcirculating tumor cellclustered regularly interspaced short palindromic repeats screencolonization associated with lungcolonization in the lungcolonization within the lungcomputer biologyepigenomeexperienceextracellulargain of functiongene expression patterngene expression signaturegenetic approachgenetic strategyglobal gene expressionglobal transcription profilehepatic body systemhepatic organ systemin vivoinnovateinnovationinnovativeliver metastasesloss of functionlung colonizationlung metastasismalignant liver neoplasm, specified as secondarymetabolism measurementmetabolomicsmetabonomicsmetastasis in the livermetastasis to the livermetastasize to the livermetastasize to the lungmetastatic cancer to livermetastatic livermetastatic liver neoplasmmultidisciplinarymultiomicsmultiphoton excitation microscopymultiphoton microscopymultiple omicsneoplastic cellnonmalignantpanomicspathwayphotoactivationprogramspulmonary colonizationpulmonary metastasisresponse to therapyresponse to treatmentsecondary liver malignancysecondary malignant liver neoplasmsingle cell next generation sequencingsingle cell sequencingsmall moleculesocial roletherapeutic responsetherapy responsetranscriptional profiletranscriptional signaturetranscriptometranscriptomicstreatment responsetreatment responsivenesstumortumor cell metastasis
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Full Description

Project Summary
Metabolic programs are particularly relevant during metastasis as it is an inefficient process comprising several

consecutive steps, with only a small proportion of circulating tumor cells generating a metastatic lesion. The

inefficiency is largely attributable to the host organ environments, which impose metabolic limitations on cancer

cells. Indeed, cancer cells are frequently starved for nutrients and oxygen in distant organ environments due to

poor vasculature. To endure unfavorable nutrient conditions during the metastatic cascade, disseminated tumor

cells require substantial metabolic rewiring that enables them to grow at the primary and metastatic sites.

Additionally, cancer cells metabolically interact with each other and with normal cell types or upregulate

alternative pathways to overcome these metabolic limitations in their environment. Integration of nutrient

availability from the local environment with metabolic adaptation signatures in cancer cells is key to

understanding how cancer cells interact with the surrounding cells and extracellular nutrients. Furthermore, as

re-population of cancer cells at a new organ site creates challenges for effective anti-tumor therapeutic

strategies, there is an unmet basic and clinical need to better understand the molecular interplay between the

metastatic site and tumor cells. Therefore, in this proposal, we will test the hypothesis that distant organ sites

impose metabolic restrictions that cancer cells need to overcome for metastatic colonization. To address this,

we will employ a comprehensive unbiased approach that combines multiple genetic, transcriptomic and

metabolomics techniques. These approaches will enable us to dissect the metabolic heterogeneity of cancer

cells and other cell types in distant organ sites. In the first aim, we will systematically map metabolic

dependencies of breast cancer cells during colonization of the lung and liver using CRISPR-based loss and gain

of function approaches. In our preliminary work, we have already identified potential candidates that are involved

in breast cancer metastasis to lung. In the second aim, we will investigate the role of niche cells by combining

cell-specific metabolomics and single-cell sequencing approaches in multiple metastasis models and in response

to therapy. The Birsoy lab has recently pioneered the use of metabolism focused CRISPR screens to study

multiple aspects of cellular metabolism in cancer models. The Cao and Saeed Tavazoie labs have expertise in

single cell transcriptomics and computational biology. By integrating gene expression profiles and metabolomic

information generated by this collaborative multidisciplinary effort, our work will provide entry points for identifying

pathways that may be activated or repressed during the course of metastatic colonization and in response to

therapy.

Grant Number: 5U54CA261701-05
NIH Institute/Center: NIH

Principal Investigator: Kivanc Birsoy

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