Precision imaging for risk stratification and personalized therapy of oropharyngeal cancer
口咽癌风险分层和个性化治疗的精准成像
基本信息
- 批准号:10445148
- 负责人:
- 金额:$ 63.31万
- 依托单位:
- 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:2022-07-05 至 2027-03-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAnatomyArchitectureAttentionBiologicalBiological FactorsCancer PatientClinicalClinical DataClinical TrialsComplementDataData SetDetectionDiagnosisDiseaseDisease ProgressionDissectionDistantDistant MetastasisEnrollmentEpidemicEvaluationExhibitsFutureGene ExpressionGoalsHPV oropharyngeal cancerHabitatsHeterogeneityHistologicHistologyHuman PapillomavirusHuman papilloma virus infectionImageImage AnalysisIncidenceIndividualInvadedMalignant NeoplasmsModalityModelingMolecularMorphologyNeoplasm MetastasisOncologyOutcomePathologyPathway interactionsPatient SelectionPatientsPatternPerformancePerformance StatusPhenotypePrimary NeoplasmPrognosisPrognostic FactorQuality of lifeRadiation Therapy Oncology GroupRadiogenomicsRandomized Clinical TrialsReduce health disparitiesRegional DiseaseRelapseResource-limited settingRiskSmoking HistoryStreamTestingTextureTherapeuticTissuesToxic effectTrainingUnderserved PopulationValidationVariantX-Ray Computed Tomographybasechemoradiationclinical prognosticcohortdeep learningdeep learning modeldesigndisorder riskdraining lymph nodehealth disparityimaging approachimaging biomarkerimprovedimproved outcomeinnovationknowledge baselymph nodesmalignant oropharynx neoplasmmultimodal datamultitaskneglectnoveloral HPV infectionoral lesionovertreatmentpersonalized medicinepersonalized predictionsprecision medicinepreservationprognosticprognostic assaysprognostic modelprognostic signatureprognostic valueprospectiveprospective testquantitative imagingradiological imagingradiomicsrandomized trialresponserisk stratificationstandard caresuccesstherapy outcometherapy resistanttreatment responsetreatment strategytumortumor heterogeneityvirtual
项目摘要
ABSTRACT
During the past few decades, there has been a rapid increase in the incidence of oropharyngeal
cancer (OPC), which is attributable to the epidemic of oral human papillomavirus (HPV) infection.
Patients with HPV-positive OPC respond well to concurrent chemoradiotherapy and have a more
favorable prognosis than HPV-negative patients. However, standard treatment is associated with
significant toxicity and likely represents over-treatment for many patients with HPV-positive disease.
Several randomized clinical trials have tested novel deintensification strategies with the goal to
reduce toxicity and improve patients’ quality of life while preserving the high cure rate. These trials
enroll patients based on cancer stage and smoking history. However, current clinical prognostic
factors are rather crude and do not accurately predict disease progression on an individual level.
Reliable prognostic models are critically needed for personalized risk-adaptive therapy of OPC. To
address this unmet need, we propose quantitative CT features to characterize intratumoral spatial
heterogeneity and disease invasion/spread, which are known drivers of treatment resistance and
disease progression. In addition to knowledge-based image features, we will develop complementary
data-driven deep learning models to predict disease progression by using a retrospective multi-
institutional dataset of 1771 patients. Further, we will integrate imaging with clinical data to improve
prediction and establish their validity by rigorous prospective validation in 1780 patients enrolled in 3
randomized clinical trials. Finally, we will employ a radiogenomic approach to elucidate biological
basis of the imaging signatures. If successful, the proposed models will allow more accurate
prediction of prognosis and improve risk stratification of OPC. This has significant therapeutic
implications by optimizing the selection of patients for treatment deintensification, which will increase
the likelihood of success of future clinical trials and pave the way for precision medicine in OPC.
Because the information is derived from standard CT scans, this would be readily integrated into
current clinical workflow, widely applicable to underserved populations in low-resource settings, and
therefore would help reduce health disparity in the US.
摘要
在过去的几十年里,口咽部疾病的发病率迅速增加,
癌症(OPC),其可归因于口腔人乳头瘤病毒(HPV)感染的流行。
HPV阳性OPC患者对同步放化疗反应良好,
预后优于HPV阴性患者。然而,标准治疗与
严重的毒性,可能代表许多HPV阳性疾病患者的过度治疗。
几项随机临床试验已经测试了新的去强化策略,目的是
在保持高治愈率的同时,降低毒性,提高患者的生活质量。这些试验
根据癌症分期和吸烟史招募患者。然而,目前的临床预后
这些因素相当粗糙,不能准确地预测个体水平上的疾病进展。
OPC的个性化风险适应性治疗迫切需要可靠的预后模型。到
为了解决这一未满足的需求,我们提出了定量CT特征来表征肿瘤内空间
异质性和疾病侵袭/传播,这是治疗耐药性的已知驱动因素,
疾病进展。除了基于知识的图像特征,我们还将开发互补的
数据驱动的深度学习模型,通过使用回顾性的多个
1771名患者的机构数据集。此外,我们将把成像与临床数据结合起来,
预测,并建立其有效性,通过严格的前瞻性验证,在1780例患者参加了3
随机临床试验。最后,我们将采用放射基因组学的方法来阐明生物
图像签名的基础。如果成功,所提出的模型将允许更准确的
预测预后和改善OPC的危险分层。这具有显著的治疗效果,
通过优化选择患者进行治疗去强化的影响,这将增加
未来临床试验成功的可能性,并为OPC中的精准医学铺平道路。
因为信息是从标准CT扫描中得到的,所以这将容易地集成到
目前的临床工作流程,广泛适用于低资源环境中服务不足的人群,以及
因此,这将有助于减少美国的健康差距。
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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Quynh-Thu Xuan Le其他文献
Quynh-Thu Xuan Le的其他文献
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{{ truncateString('Quynh-Thu Xuan Le', 18)}}的其他基金
2022 Nasopharyngeal Carcinoma Gordon Research Conference
2022年鼻咽癌戈登研究会议
- 批准号:
10427491 - 财政年份:2022
- 资助金额:
$ 63.31万 - 项目类别:
Project 2: ALDH3A1 Activation for Radioprotection of Salivary Glands and Other Head and Neck Epithelial Tissues
项目2:ALDH3A1激活对唾液腺和其他头颈上皮组织的辐射防护
- 批准号:
10334200 - 财政年份:2022
- 资助金额:
$ 63.31万 - 项目类别:
Precision imaging for risk stratification and personalized therapy of oropharyngeal cancer
口咽癌风险分层和个性化治疗的精准成像
- 批准号:
10659176 - 财政年份:2022
- 资助金额:
$ 63.31万 - 项目类别:
Project 2: ALDH3A1 Activation for Radioprotection of Salivary Glands and Other Head and Neck Epithelial Tissues
项目2:ALDH3A1激活对唾液腺和其他头颈上皮组织的辐射防护
- 批准号:
10707889 - 财政年份:2022
- 资助金额:
$ 63.31万 - 项目类别:
The role of Galectin-1 in shaping the immune suppressive landscape in head and neck cancer
Galectin-1 在塑造头颈癌免疫抑制景观中的作用
- 批准号:
10392852 - 财政年份:2021
- 资助金额:
$ 63.31万 - 项目类别:
The role of Galectin-1 in shaping the immune suppressive landscape in head and neck cancer
Galectin-1 在塑造头颈癌免疫抑制景观中的作用
- 批准号:
10570172 - 财政年份:2021
- 资助金额:
$ 63.31万 - 项目类别:
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