Tracing and targeting the epigenetic heterogeneity in breast cancer metastasis

追踪和靶向乳腺癌转移中的表观遗传异质性

基本信息

项目摘要

Project Summary Title: Tracing and targeting the epigenetic heterogeneity in breast cancer metastasis. Metastasis is major cause of cancer-related death and is the most challenging to treat. Besides the well-studied genomic mutations in cancer, our understanding of non-genomic alterations remains limited. The proposed approach is to dissect the mechanisms of non-genomic intra-metastasis heterogeneity in breast cancer. Recently, we demonstrated that osteoblasts (bone forming cells) promote a global alteration of chromatin organization which associates with increased stemness, epithelial to mesenchymal transition, and overexpression of multiple receptor tyrosine kinases included FGFR1 and PDGFRβ. Ultimately, estrogen signaling was inhibited while endocrine resistance was increased. Mechanistically, we identified FGF2/PDBFβ/ EZH2 axis as a novel regulator of epigenetic reprogramming in breast cancer bone metastasis. However, several outstanding questions remained unanswered: (i) what mechanisms drive phenotypic variations between neighboring cells in bone metastasis, (ii) are epigenetic traits inheritable during metastasis progression, and (ii) if yes, how do they influence therapeutic response? In this project, our goal is to understand the mechanisms of intra-tumor heterogeneity in bone metastases and determine how epigenetic heterogeneity affects therapeutic response beyond the genetic heterogeneity that has been extensively studied. We aim to trace and dissect the epigenetic intra-tumor heterogeneity (eITH) using a cutting-edge barcoding strategy (K99 phase), identify epigenetic modulators by integrating single cell multi-omics (K99-R00 phase), test new therapeutic approaches and eventually expand our findings to other breast cancer metastasis sites (R00 phase) including lung, liver, and brain. Baylor College of Medicine (BCM) is an internationally renowned institution for breast cancer research, which gives me the opportunity to closely interact, exchange ideas, and share my findings with leading scientists, clinicians and patient advocates. For my career transition, I assembled a team of senior scientists and experts including my mentor, Professor Xiang H-F Zhang, who is well-established in breast cancer bone metastasis. My co-mentor, Professor Jeffrey Rosen, is a distinguished scientist in mammary gland development and breast cancer modeling. Because of the clinical relevance of the project, I also included Professor C. Kent Osborne, founding director of the Dan L. Duncan Comprehensive Cancer Center (DLDCCC), Professor Matthew J. Ellis, a world-renowned oncologist and director of the Breast Center, Dr. Bora Lim, an expert in aggressive subtypes of breast cancer (e.g. inflammatory breast cancer), Professor Susan G. Hilsenbeck, a distinguished biostatistician, and Dr. Zhandong Liu a computational biologist and statistician with expertise in single cell analysis. Adding the expertise of my advisory team to the rich intellectual resource and cutting-edge technology available at BCM will facilitate my successful transition into an independent position at a top research institution.
项目摘要 标题:追踪和靶向乳腺癌转移的表观遗传异质性。 转移是癌症相关死亡的主要原因,并且是最具挑战性的治疗。 尽管癌症中的基因组突变,但我们对非基因组改变的理解仍然有限。拟议 方法是剖析乳腺癌非基因组内转移异质性的机制。 最近,我们证明成骨细胞(骨形成细胞)促进染色质的全面改变 组织与干细胞增加、上皮细胞向间充质细胞转化有关, 多种受体酪氨酸激酶包括FGFR 1和PDGFRβ的过表达。最终,雌激素 信号传导被抑制,而内分泌抗性增加。从机制上讲,我们鉴定了FGF 2/PDBFβ/ EZH 2轴作为乳腺癌骨转移表观遗传重编程的新调节因子但几 悬而未决的问题仍然没有答案:(一)是什么机制驱动表型之间的变化 骨转移中的邻近细胞,(ii)是转移进展过程中可遗传的表观遗传性状,和(ii) 如果是,它们如何影响治疗反应?在这个项目中,我们的目标是了解 骨转移瘤内异质性,并确定表观遗传异质性如何影响治疗 这种反应超越了已被广泛研究的遗传异质性。我们的目标是追踪和剖析 表观遗传肿瘤内异质性(eITH),使用先进的条形码策略(K99期), 通过整合单细胞多组学(K99-R 00期)的表观遗传调节剂,测试新的治疗方法 并最终将我们的发现扩展到其他乳腺癌转移部位(R 00期),包括肺,肝, 个脑袋贝勒医学院(Baylor College of Medicine)是国际知名的乳腺癌研究机构, 这让我有机会与领先的科学家密切互动,交流思想,分享我的发现, 临床医生和患者倡导者。为了我的职业转型,我组建了一个由资深科学家和专家组成的团队, 包括我的导师张翔霍夫教授,他在乳腺癌骨转移方面享有盛誉。我 共同导师,教授杰弗里罗森,是一个杰出的科学家在乳腺发育和乳房 癌症建模由于该项目的临床相关性,我还包括C教授。肯特·奥斯本, 丹·L.邓肯综合癌症中心(DLDCCC),教授马修J埃利斯, 世界著名的肿瘤学家、乳腺中心主任Bora Lim博士是侵袭性亚型的专家 乳腺癌(例如炎症性乳腺癌)的研究,Susan G.希尔森贝克,一位杰出的 Zhandong Liu博士是一位计算生物学家和统计学家,在单细胞方面具有专长 分析.将我的顾问团队的专业知识与丰富的智力资源和尖端技术相结合 我在斯坦福大学的工作将有助于我成功地过渡到一个顶级研究机构的独立职位。

项目成果

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Igor Landry Bado其他文献

Igor Landry Bado的其他文献

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{{ truncateString('Igor Landry Bado', 18)}}的其他基金

Tracing and targeting the epigenetic heterogeneity in breast cancer metastasis
追踪和靶向乳腺癌转移中的表观遗传异质性
  • 批准号:
    10446911
  • 财政年份:
    2022
  • 资助金额:
    $ 24.9万
  • 项目类别:

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