Paradoxical Effects of SETD2 Inactivation in EGFR- and KRAS-driven Lung Adenocarcinoma
Paradoxical Effects of SETD2 Inactivation in EGFR- and KRAS-driven Lung Adenocarcinoma
批准号:
10677503
负责人:
Katherine Doerig
金额:
$4.77万
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:
2023-05-01 至 2026-04-30
关键词:
AccelerationBRAF geneBenchmarkingCancer EtiologyCell DeathCell LineCell ProliferationConflict (Psychology)DataDevelopmentDiseaseEpidermal Growth Factor ReceptorFRAP1 geneGenesGeneticGenetic EpistasisGenotypeGrowthHumanIndividualKRAS oncogenesisKRAS2 geneLaboratoriesLung AdenocarcinomaMAP Kinase GeneMaintenanceMalignant NeoplasmsModelingMusMutateMutationOncogenesOncogenicPIK3CG genePathway interactionsPatientsPatternProtein BiosynthesisProto-Oncogene Proteins c-aktRoleSTK11 geneSignal TransductionTestingTherapeutic InterventionTherapeutically TargetableTumor BurdenTumor Cell LineTumor PromotionTumor Suppressor ProteinsTumor-DerivedWorkantagonistcancer cellcancer genomecancer therapycancer typedriver mutationfitnessgenome sequencinghistone methyltransferaseimprovedinsightmouse modelneoplastic cellnew therapeutic targetoutcome disparitiespreventsynergismtumortumor growthtumorigenesistumorigenic
中文摘要
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英文摘要
PROJECT SUMMARY
Mutual exclusivity and co-occurrence of cancer causing mutations are due to pairwise genetic
relationships that include oncogenic redundancy and synthetic lethality. These interactions suggest that the
cancer-promoting effects of one mutation are dependent on the presence of another, a contingency that can be
exploited in the development of new cancer therapies. Certain mutations have contrasting effects, promoting
cancer in one mutational context but limiting it in another. SETD2 inactivation in lung adenocarcinoma occurs
in 9% of tumors overall, and frequently co-occurs with oncogenic KRAS, but is mutually exclusive with
oncogenic EGFR, the most frequent driver genes of this disease. Our lab was the first to identify SETD2 as a
potent tumor suppressor in a KRAS-driven mouse model. However, paradoxically, Setd2 inactivation prevents
tumor growth in the context of oncogenic EGFR, suggesting an antagonism between these alterations. The
opposing effects of Setd2 inactivation are surprising given that KRAS is directly downstream of EGFR and
activates the MAPK pathway, a driver of many cancer types. Given that KRAS and EGFR share this major
tumorigenic pathway, I hypothesize that Setd2 inactivation is specifically synergistic with activation of the
MAPK pathway, but incompatible with a separate pathway that is also downstream of EGFR.
An important clue in deciphering this incompatibility is the epistatic relationship between SETD2 and
LKB1, another frequently inactivated gene. Although both genes are powerful tumor suppressors in KRAS-
driven models, co-mutation conferred no additional growth advantage, indicating that these genes act in the
same pathway. Additionally, Lkb1 inactivation has the same paradoxical antagonism in EGFR-driven tumors.
Inactivation of Lkb1 results in constitutively activated mTORC1 signaling which is a common feature of many
cancers. My preliminary data demonstrate that Setd2 inactivation also promotes mTORC1 activity in KRAS-
driven tumors. Likewise, oncogenic EGFR directs mTORC1 signaling via the PI3K-AKT axis and is reliant on
this pathway for tumor maintenance, while oncogenic KRAS is not. Given the stimulation of mTORC1 signaling
by Setd2 and its synthetic lethality with oncogenic EGFR which also activates mTOR, I hypothesize that the
heightened mTORC1 activity present in Setd2-inactivated tumors is incompatible with oncogenic EGFR. To
test these hypotheses, I first aim to determine whether Setd2 inactivation is synergistic with oncogenic MAPK
signaling using a BRAF-driven mouse model. Second, I will determine whether excess mTORC1 signaling is
responsible for EGFR-SETD2 antagonism by modulating this pathway in each driver context using tumor cell
lines. This study will begin to characterize the synthetic lethal relationship between two frequently mutated
genes in lung adenocarcinoma. Understanding these interactions will enable development of new therapies
that target genotype specific vulnerabilities.
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