Treatment monitoring in early and locally advanced breast cancer using circulating tumor DNA analysis
Treatment monitoring in early and locally advanced breast cancer using circulating tumor DNA analysis
批准号:
10304444
负责人:
Muhammed Murtaza
金额:
$20.69万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-03-01 至 2024-02-29
关键词:
AddressAdjuvant TherapyAftercareArchivesBiological AssayBiological MarkersBiopsyBlood TestsBlood VolumeBlood specimenClinicalClinical DataClinical TrialsComplementDNADNA analysisDetectionDetection of Minimal Residual DiseaseDiagnosticDiseaseDisease ProgressionDisease-Free SurvivalDropsEarly treatmentEnrollmentEnsureEstrogen receptor positiveExcisionGoalsHistopathologyImageIn complete remissionIndividualLiteratureMalignant NeoplasmsMeasuresMetastatic breast cancerMethodsMicroscopicMolecularMonitorMutateMutationNeoadjuvant TherapyNo Evidence of DiseaseOperative Surgical ProceduresOutcomeParaffin EmbeddingPathologicPatientsPerformancePhasePhenotypePlasmaPostoperative PeriodProcessPrognostic MarkerRadiology SpecialtyRecurrenceReproducibilityResidual NeoplasmResidual TumorsSamplingSensitivity and SpecificitySignal TransductionSomatic MutationSpecificityTestingTherapeuticTissuesTumor Cell LineTumor TissueValidationadvanced breast canceraggressive therapybasecancer cellcirculating biomarkersclinically relevantdesigndigitalexome sequencingfollow-upimprovedimproved outcomemalignant breast neoplasmovertreatmentpersonalized medicineportabilitypreservationprognostic valueprospectiveresponsesurvival outcometreatment optimizationtreatment planningtreatment responsetumortumor DNA
中文摘要
项目总结
英文摘要
PROJECT SUMMARY
Patients with early and locally advanced breast cancer (ELABC) are treated with a combination of pre-
operative (neoadjuvant) therapy, surgical resection and post-operative (adjuvant) therapy. In recent years,
overall survival for ELABC has improved to ~90% at 5 years. However, to achieve this goal, patients are often
over-treated due to lack of effective biomarkers. For example, a majority of patients who receive adjuvant
therapy are already cured after surgery and derive no further benefit. Similarly, almost a third of patients
treated with neoadjuvant therapy are found to have pathological Complete Response upon surgery (no
evidence of tumor upon histopathology), suggesting that the surgery could have been safely omitted. An
effective biomarker for minimal residual disease (MRD) can help personalize treatment plans and reduce over-
treatment, while preserving outcomes in patients with breast cancer.
Recent literature shows post-operative detection of circulating tumor DNA (ctDNA) can identify recurrence,
months before it is recognized on imaging. However, due to lack of sensitivity of current methods and limited
blood sample volumes, ctDNA signal often drops below limit of detection. Current approaches for ctDNA
analysis do not have adequate sensitivity to detect residual disease during and after completion of treatment.
To address this gap, we have developed TARgeted DIgital Sequencing (TARDIS), an approach for
multiplexed analysis of several patient-specific mutations in ctDNA. In this application, we propose to first
analytically validate TARDIS for ctDNA detection and then clinically validate this approach as a biomarker for
treatment monitoring and residual disease detection in early and locally advanced breast cancer. In the UH2
analytical validation phase, we will assess analytical sensitivity, specificity, accuracy, precision and
reproducibility of TARDIS using reference material, tumor cell line dilutions and plasma samples from patients
with breast cancer. In the UH3 clinical validation phase, we will measure baseline ctDNA detection rates in
patients with early and locally advanced breast cancer, evaluate whether ctDNA levels after neoadjuvant
treatment are predictive of pathological Complete Response and evaluate the prognostic value of ctDNA
detection after surgical resection for disease-free survival.
Our goal is to enable greater precision in treatment of patients with early and locally advanced breast cancer.
Once validated, ctDNA analysis and monitoring will complement existing diagnostic approaches such as
imaging and histopathology to help optimize management of patients with early and locally advanced breast
cancer.
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Pre-analytical factors affecting ctDNA analysis in early and locally advanced breast cancer
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批准号:9893681
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项目类别:
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资助金额:$44.0万
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财政年份:2019
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负责人:Muhammed Murtaza
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依托单位:
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依托单位:
海外基金