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Determining susceptibility loci in triple negative breast cancer using a novel pre-clinical model

使用新型临床前模型确定三阴性乳腺癌的易感位点

基本信息

批准号：
10444546
负责人：
Liza Makowski-Hayes
金额：
$ 41.38万
依托单位：
UNIVERSITY OF TENNESSEE HEALTH SCI CTR
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-02-15 至 2027-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10444546
关键词：
Address Affect Aggressive behavior Antigens Bioinformatics Body Weight decreased Breast Cancer Model Breast Cancer Patient Breast Cancer cell line Cancer Burden Candidate Disease Gene Clinical Combined Modality Therapy Computing Methodologies Data Data Set Databases Diet Disease FDA approved Family Gene-Modified Generations Genes Genetic Genetic Crosses Genetic Heterogeneity Genetic Models Genetic Predisposition to Disease Genetic Variation Genetically Engineered Mouse Genome Genomics Goals Heritability Heterogeneity High Fat Diet Human Human Genetics Hybrids Immunology Immunotherapy Impairment In Vitro Inbreeding Individual Individual Differences Investigation Link Mediating Methods Modeling Molecular Mus Neoplasm Metastasis Obesity Outcome Paclitaxel Pathology Patient Care Patient-Focused Outcomes Patients Phenotype Pilot Projects Pliability Population Pre-Clinical Model Predisposition Quantitative Trait Loci Recombinants Reproducibility Research Personnel Resources Retreatment Risk Risk Factors Sampling Severities Sum Susceptibility Gene System Translating Treatment Efficacy Validation Variant Weight Weight Gain Work anti-PD-L1 breast cancer genomics breast cancer progression cancer therapy candidate validation causal variant falls gene environment interaction gene network genetic analysis genetic approach genetic resource genetic variant genome sequencing genome wide association study genomic variation immune checkpoint blockade improved in vivo innovation lead candidate malignant breast neoplasm mouse model neoplasm resource novel personalized medicine pre-clinical targeted treatment trait transplant model treatment response triple-negative invasive breast carcinoma tumor tumor initiation whole genome

项目摘要

SUMMARY: The lack of understanding how genetic variants affect molecular mechanisms that mediate TNBC aggression and impact effective anti-tumor therapies poses a substantial obstacle to advancement in cancer therapies. Current genetically engineered mouse models (GEMMs) of TNBC lack genetic complexity because mice are on a single inbred background which impairs the rigorous investigation into how individual genetic variation might impact tumor initiation, progression, or response to therapy. Because of this limitation, pre-clinical models typically fail to translate well to impact patient care. Although human studies have identified risk factors for developing TNBC with both environmental and genetics approaches, studies often fall short due to the inability to control variables or sample enough individuals. To address these limitations, we have pioneered a transformative approach with the creation of a novel murine model with robust, reliable, and reproducible phenotypic and genomic variation. We systematically crossed the C3(1)-Tantigen (C3Tag) GEMM, well established to resemble human basal-like TNBC, into the BXD family - the largest and best characterized genetic reference population. Preliminary data demonstrate that BXD-TNBC F1 isogenic hybrids have greatly differing severity of TNBC phenotypes, indicating genetic modifiers that impact disease. The advantage of the BXD-TNBC hybrids is that every genome is defined and reproducible. Using cutting edge systems genetics and molecular candidate validation, we will identify genetic modifiers of TNBC. Cross-species comparisons with publicly available human GWAS and genomic databases will identify conserved, biologically relevant, and targetable candidates to yield highly impactful and readily translatable findings. We hypothesize that the interaction of modifier and causal genes govern the heterogeneity of TNBC phenotypes and alter response to therapy. Aim 1 will identify and validate novel genetic modifiers of TNBC phenotypes through unbiased systematic quantification of TNBC severity and heritability across BXD-TNBC hybrids. Pilot studies revealed candidate genes that impact patient survival in TNBC. Aim 2 will identify and validate novel genetic modifiers of therapeutic efficacy across BXD-TNBC hybrids. Last, the genetic contribution linking obesity and TNBC is currently unknown which is a problem because obesity exacerbates poor BC outcomes and reduces therapeutic efficacy in patients. Aim 3 will identify genetic modifiers of susceptibility to obesity exacerbated TNBC. Capitalizing upon our team’s expertise, the overall objective is to interrogate this replicable genetic resource using established successful strategies to inform on the genetics of human risk and response to therapy. In sum, the lack of targeted therapies for TNBC presents a great unmet clinical need. The deliverables of this novel BXD-TNBC will define susceptibility loci, candidate genes, and molecular networks that underlie variation of multiple TNBC phenotypes. Results generated will thus be transformative with high impact, leading to the identification of genes modifying heterogeneity and networks underlying individual differences in TNBC.

简介: