Immunogenomic predictors of outcomes in patients with locally advanced cervical cancer treated with immunotherapy and chemoradiation
接受免疫治疗和放化疗的局部晚期宫颈癌患者结果的免疫基因组预测因子
基本信息
- 批准号:10733542
- 负责人:
- 金额:$ 2.32万
- 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:2023-07-01 至 2023-09-05
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAftercareAntigen-Presenting CellsBioinformaticsBiological AssayBiological MarkersBiopsyBloodBlood specimenCancer PatientCellsCessation of lifeChemotherapy and/or radiationCisplatinClinicalClinical TrialsClonalityCollectionCombination Drug TherapyCombination immunotherapyDNADNA copy numberDataDiseaseDisease MarkerDisease-Free SurvivalDrug TargetingEarly identificationEvolutionExhibitsFinancial HardshipFluorescence MicroscopyFreezingFundingGeneticGenomicsGoalsHead and Neck CancerHuman PapillomavirusHuman papilloma virus infectionImmunofluorescence MicroscopyImmunogenomicsImmunotherapyIn complete remissionKnowledgeMaintenanceMaintenance TherapyMalignant neoplasm of cervix uteriMeasuresMetastatic Neoplasm to Lymph NodesMolecular ProfilingMorbidity - disease rateOutcomePD-1 inhibitorsPDL1 inhibitorsPET/CT scanParaaorticPathologicPatient SelectionPatient-Focused OutcomesPatientsPeripheralPhenotypePlasmaPositron-Emission TomographyPredictive ValuePrognosisRadiationRadiation therapyRandomizedRecurrenceRelapseRiskSourceSpecimenT cell receptor repertoire sequencingT-Cell ActivationT-Cell ProliferationT-Cell ReceptorT-LymphocyteT-cell receptor repertoireTechniquesTissuesToxic effectTumor TissueUnited StatesViralWomananti-tumor immune responsearmbiomarker identificationburden of illnesschemoradiationdigitaldraining lymph nodeexperiencefollow-uphigh riskimmune checkpoint blockadeimmunotherapy clinical trialsimprovedmortalityneoplastic cellnovel therapeutic interventionoutcome predictionpartial responsepatient stratificationpembrolizumabperipheral bloodpredicting responsepredictive markerprogrammed cell death ligand 1programmed cell death protein 1prospectiveradiological imagingresponserisk stratificationspatial relationshipstandard of caretreatment responsetumortumor microenvironmenttumor-immune system interactionsuptake
项目摘要
Project Summary/Abstract
Locally advanced cervical cancer (LACC) associated with human papillomavirus (HPV) infection continues to
be a significant source of morbidity and mortality in the US and globally. In particular, patients with evidence
of metastases to lymph nodes have a dismal 3-year overall survival of 39%, despite treatment with the
current standard of care of chemotherapy combined with radiation (CRT). There is thus a critical need
to develop new therapeutic strategies for patients with high-risk LACC. Combinations of CRT with
immune checkpoint blockade (ICB) drugs targeting PD-L1 (durvalumab) or PD-1 (pembrolizumab) are being
studied in global prospective trials CALLA and KEYNOTE A18, respectively. Unfortunately, the results of the
CALLA trial failed to demonstrate substantial improvement in 24-month survival with addition of durvalumab,
highlighting several critical knowledge gaps in combination of CRT and ICB in LACC. First, optimal sequencing
of CRT and ICB is unknown, and there are clear concerns that concurrent initiation of CRT and ICB carries a
potential to kill activated proliferating T cells in tumors and tumor-draining lymph nodes, leading to tolerance.
Second, predictors of long-term outcomes for the patients treated with ICB and CRT are unknown. In this
application, our key study objectives are to examine the evolution of blood and tumor
microenvironment (TME) immune parameters in response to differential ICB-CRT sequencing and to
establish the predictors of long-term outcomes. To achieve these goals, we conducted and completed an
NCI-sponsored clinical trial of PD-L1 inhibitor atezolizumab in combination with CRT in patients with high-risk
LACC, randomizing patients to atezolizumab administration prior to and concurrent with CRT vs. concurrent
with CRT in 36 patients. The study incorporated comprehensive collection of pre- and on-treatment tumor
biopsies and blood and PET scans that will enable us to address the knowledge gaps above. In Aim 1 we will
determine how the tumor immune microenvironment evolves as a function of differential immunotherapy and
CRT sequencing. By using multi-parameter fluorescence microscopy, we will determine how activation of T
cells and their interaction with other cells in the tumors change in response to therapy and how these changes
predict long term outcomes. In Aim 2, we will take advantage of T cell receptor (TCR) repertoire sequencing as
well as advanced bioinformatics techniques to evaluate how evolution of T cells in tumors and peripheral blood
could serve as an indicator of anti-tumor immune response and long-term outcomes. In Aim 3 we will establish
radiographic and blood biomarkers as predictors of outcomes in high-risk LACC patients by examining blood
HPV DNA and post-treatment PET-CT as markers of disease burden pre- and post-therapy. Identification of
early biomarkers predictive of outcomes will be critical for risk-stratification of patients with LACC in
order to guide patient selection for clinical trials or maintenance therapy, while minimizing the
potential clinical toxicities and financial burden in patients at low risk for recurrence.
项目概要/摘要
与人乳头瘤病毒(HPV)感染相关的局部晚期宫颈癌(LACC)持续存在
是美国和全球发病率和死亡率的重要来源。特别是有证据的患者
淋巴结转移的 3 年总生存率仅为 39%,尽管采用了治疗
目前化疗联合放疗(CRT)的护理标准。因此迫切需要
为高危 LACC 患者开发新的治疗策略。 CRT 的组合
针对 PD-L1(durvalumab)或 PD-1(pembrolizumab)的免疫检查点阻断(ICB)药物正在研发中
分别在全球前瞻性试验 CALLA 和 KEYNOTE A18 中进行了研究。不幸的是,结果
CALLA 试验未能证明添加 durvalumab 可显着改善 24 个月生存率,
强调了 LACC 中 CRT 和 ICB 组合的几个关键知识差距。一、最优测序
CRT 和 ICB 的作用尚不清楚,并且明显担心同时启动 CRT 和 ICB 会带来副作用
具有杀死肿瘤和肿瘤引流淋巴结中激活的增殖T细胞的潜力,从而产生耐受性。
其次,接受 ICB 和 CRT 治疗的患者长期结果的预测因素尚不清楚。在这个
应用程序,我们的主要研究目标是检查血液和肿瘤的进化
微环境(TME)免疫参数响应差异ICB-CRT测序和
建立长期结果的预测因素。为了实现这些目标,我们进行并完成了
NCI 赞助的 PD-L1 抑制剂 atezolizumab 联合 CRT 在高危患者中的临床试验
LACC,将患者随机分配到在 CRT 之前和同时给予阿替利珠单抗与同时给予
36 名患者接受 CRT 治疗。该研究综合收集了治疗前和治疗中的肿瘤
活检、血液和 PET 扫描将使我们能够解决上述知识差距。在目标 1 中,我们将
确定肿瘤免疫微环境如何随着差异免疫治疗的功能而演变,
CRT 测序。通过使用多参数荧光显微镜,我们将确定 T 的激活如何
细胞及其与肿瘤中其他细胞的相互作用因治疗而发生变化以及这些变化是如何发生的
预测长期结果。在目标 2 中,我们将利用 T 细胞受体 (TCR) 库测序:
以及先进的生物信息学技术来评估肿瘤和外周血中 T 细胞的进化
可以作为抗肿瘤免疫反应和长期结果的指标。在目标 3 中,我们将建立
通过检查血液,将放射学和血液生物标志物作为高危 LACC 患者预后的预测因子
HPV DNA 和治疗后 PET-CT 作为治疗前后疾病负担的标记。鉴定
预测结果的早期生物标志物对于 LACC 患者的风险分层至关重要
以指导患者选择临床试验或维持治疗,同时最大限度地减少
复发风险低的患者存在潜在的临床毒性和经济负担。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Dmitriy Zamarin其他文献
Dmitriy Zamarin的其他文献
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{{ truncateString('Dmitriy Zamarin', 18)}}的其他基金
Immunogenomic predictors of outcomes in patients with locally advanced cervical cancer treated with immunotherapy and chemoradiation
接受免疫治疗和放化疗的局部晚期宫颈癌患者结果的免疫基因组预测因子
- 批准号:
10908093 - 财政年份:2023
- 资助金额:
$ 2.32万 - 项目类别:
POTENTIATION OF ANTI-TUMOR IMMUNITY BY ONCOLYTIC VIRUS IN SITU VACCINATION
溶瘤病毒原位疫苗接种增强抗肿瘤免疫力
- 批准号:
10908106 - 财政年份:2023
- 资助金额:
$ 2.32万 - 项目类别:
POTENTIATION OF ANTI-TUMOR IMMUNITY BY ONCOLYTIC VIRUS IN SITU VACCINATION
溶瘤病毒原位疫苗接种增强抗肿瘤免疫力
- 批准号:
10584115 - 财政年份:2023
- 资助金额:
$ 2.32万 - 项目类别:
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