Exploiting markers of genomic instability in high-risk pre-invasive ovarian cancer
利用高风险浸润前卵巢癌基因组不稳定性标记
基本信息
- 批准号:10719535
- 负责人:
- 金额:$ 73.45万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-06-06 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:Adjuvant ChemotherapyAneuploidyArchitectureBRCA1 geneBRCA2 geneBiological MarkersBiological ProcessCD8-Positive T-LymphocytesCD8B1 geneCancer PatientCarcinomaCarcinoma in SituCarcinomatosisCell NucleusCellsCharacteristicsChromosomal InstabilityClassificationClinical ManagementConsensusDNADNA RepairDNA biosynthesisDataDevelopmentDiseaseEarly DiagnosisEndowmentEpitheliumEventExcisionExhibitsFimbriated End of the Fallopian TubeFoundationsFutureGenetic CarriersGenomic InstabilityGenomicsGoalsGranzymeGuidelinesHistologyImmuneImmune EvasionImmunofluorescence ImmunologicInheritedInvadedInvasive LesionLesionMalignant Female Reproductive System NeoplasmMalignant NeoplasmsMalignant neoplasm of ovaryMammalian OviductsMeasuresMediatingMitoticModelingMolecularNatural Killer CellsNeoplastic Cell TransformationOperative Surgical ProceduresOvarian CarcinomaOvaryParaffin EmbeddingPathogenicityPathologicPatient CarePatient riskPatientsPatternPeritonealProcessProteinsRecommendationRecurrenceRegulatory T-LymphocyteRiskRisk AssessmentRisk ReductionSalpingo-OophorectomySamplingSerousStage at DiagnosisStainsStatistical ModelsSyndromeTP53 geneTechniquesTechnologyTestingTherapeuticTimeTissuesTrainingTubal ExcisionsTumor-associated macrophagesVariantWorkbiomarker identificationbrca genecancer cellcancer initiationcancer invasivenesscell typechromosome missegregationcohortearly detection biomarkersexhaustionexperiencegenetic testinggenome sequencinggenomic biomarkerhigh riskimaging biomarkerimprovedintraepithelialintraperitonealmicronucleusmolecular markernext generationpatient stratificationperitoneal cancerpreventprogrammed cell death ligand 1programmed cell death protein 1prophylacticprospectiverisk stratificationtreatment guidelinestumor-immune system interactionswhole genome
项目摘要
ABSTRACT
High grade serous ovarian cancer (HGSC) is the most lethal gynecologic malignancy. Patients with increased
risk of ovarian cancer due to inherited syndromes–most notably carriers of pathogenic variants of
BRCA1/BRCA2–are recommended to undergo prophylactic risk reducing salpingo-oophorectomies (RRSO)
because there is no effective ovarian cancer surveillance. Despite undergoing surgical removal of ovaries and
fallopian tubes, 10-20% of patients will experience primary peritoneal cancer, an ovarian cancer related
malignancy. As such there is a dire need to understand the early events in HGSC development to improve
therapeutic decisions for high-risk patients. Importantly, a recent study found that the presence of serous tubal
intraepithelial carcinoma (STIC) at RRSO was associated with 10.5% risk of developing primary peritoneal
carcinoma (PPC) compared with a 0.3% risk in patients with normal fallopian tube histology at the time of surgery.
HGSC is characterized by high rates of genomic instability arising from ongoing chromosome missegregation
due to defective mitotic machinery or errors in DNA repair and replication. We hypothesize that genomic
instability is a critical event in the transition between STIC and invasive HGSC, endowing cancer cells
with karyotypic diversity needed for invasion and immune evasion. We will investigate this hypothesis by
1) Quantifying cGAS, a marker for cytosolic DNA, in fixed patient samples as a biomarker for chromosomal
instability. 2) Interrogating disruption of the local immune microenvironment in STIC and HGSC as a function of
aneuploidy 3) Quantifying rates of aneuploidy in single cells as a marker for early transformation and 4)
Integrating the molecular and imaging markers to identify and validate features associated with invasive STICs.
An understanding of the processes that mediate the transition between non-invasive STIC to invasive HGSC will
lay the groundwork for discovery of early detection markers. Moreover, as genetic testing increases and identifies
high-risk patients for RRSOs and even normal risk patients more often undergo opportunistic salpingectomies,
it is likely we will identify patients with STICs. This project will allow us to focus on patients with evidence of
genomically unstable STICs who may be at a greater risk to develop subsequent PPC and thus may require
closer surveillance and/or adjuvant chemotherapy. Moreover, the FFPE tolerant scWGS technology developed
as part of this proposal will allow us to interrogate the timing of genomic instability and clonal relationships
between STIC and HGSC. This will fundamentally enhance our understanding of the events in ovarian cancer
initiation and lays the foundation to further improve early detection of HGSC in patients.
抽象的
高级别浆液性卵巢癌(HGSC)是最致命的妇科恶性肿瘤,患者死亡率增加。
遗传综合征导致卵巢癌的风险——最显着的致病性变异携带者
BRCA1/BRCA2——建议进行预防性风险降低输卵管卵巢切除术 (RRSO)
因为尽管进行了卵巢切除手术,但仍没有有效的卵巢癌监测。
输卵管,10-20%的患者会出现原发性腹膜癌,这是一种与卵巢癌相关的癌症
因此,迫切需要了解 HGSC 发展的早期事件以改善。
重要的是,最近的一项研究发现输卵管浆液的存在。
RRSO 的上皮内癌 (STIC) 与发生原发性腹膜癌的风险为 10.5%
相比之下,手术时输卵管组织学正常的患者患癌 (PPC) 的风险为 0.3%。
HGSC 的特点是由于持续的染色体错误分离而导致基因组不稳定的发生率很高
由于有丝分裂机制有缺陷或 DNA 修复和复制错误,我们在基因组方面遇到了困难。
不稳定性是 STIC 和侵袭性 HGSC 之间转变的关键事件,赋予癌细胞
具有入侵和免疫逃避所需的核型多样性。我们将通过以下方式研究这一假设。
1) 定量固定患者样本中的 cGAS(胞质 DNA 标记物)作为染色体生物标记物
2) 探究 STIC 和 HGSC 中局部免疫微环境的破坏作为函数。
非整倍性 3) 量化单细胞中非整倍性的比率,作为早期转化的标记;4)
整合分子和成像标记物来识别和验证与侵入性 STIC 相关的特征。
了解介导非侵入性 STIC 到侵入性 HGSC 之间过渡的过程将
此外,随着基因检测的增加和识别,为发现早期检测标记奠定了基础。
RRSO 的高风险患者甚至正常风险患者更常接受机会性输卵管切除术,
我们很可能会识别出 STIC 患者,该项目将使我们能够重点关注有 STIC 证据的患者。
基因组不稳定的 STIC 可能更有可能发生后续 PPC,因此可能需要
此外,还开发了 FFPE 耐受性 scWGS 技术。
作为该提案的一部分,我们将能够探究基因组不稳定性和克隆关系的发生时间
STIC 和 HGSC 之间的合作将从根本上增强我们对卵巢癌事件的理解。
启动并为进一步提高患者 HGSC 的早期检测奠定基础。
项目成果
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Sohrab Shah其他文献
Sohrab Shah的其他文献
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{{ truncateString('Sohrab Shah', 18)}}的其他基金
Bioinformatics and Biostatistics Data Analysis Core
生物信息学和生物统计学数据分析核心
- 批准号:
10478004 - 财政年份:2020
- 资助金额:
$ 73.45万 - 项目类别:
Bioinformatics and Biostatistics Data Analysis Core
生物信息学和生物统计学数据分析核心
- 批准号:
10237879 - 财政年份:2020
- 资助金额:
$ 73.45万 - 项目类别:
Bioinformatics and Biostatistics Data Analysis Core
生物信息学和生物统计学数据分析核心
- 批准号:
10704074 - 财政年份:2020
- 资助金额:
$ 73.45万 - 项目类别:
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