Ignite Creation Date:
2025-12-25 @ 3:56 AM
Ignite Modification Date:
2025-12-26 @ 2:48 AM
Study NCT ID:
NCT06672302
Status:
RECRUITING
Last Update Posted:
2024-11-04
First Post:
2024-10-31
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
A Prospective Study to Develop and Clinically Validate an in Vitro Diagnostic Medical Device That Uses Blood to Classify Patients At High Risk for Breast Cancer
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D001943', 'term': 'Breast Neoplasms'}, {'id': 'D009369', 'term': 'Neoplasms'}], 'ancestors': [{'id': 'D009371', 'term': 'Neoplasms by Site'}, {'id': 'D001941', 'term': 'Breast Diseases'}, {'id': 'D012871', 'term': 'Skin Diseases'}, {'id': 'D017437', 'term': 'Skin and Connective Tissue Diseases'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITH_DNA', 'description': 'plasma'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'CASE_CONTROL'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 330}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'RECRUITING', 'startDateStruct': {'date': '2024-10-16', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2024-10', 'completionDateStruct': {'date': '2025-12-31', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2024-10-31', 'studyFirstSubmitDate': '2024-10-31', 'studyFirstSubmitQcDate': '2024-10-31', 'lastUpdatePostDateStruct': {'date': '2024-11-04', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2024-11-04', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2025-12-31', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Sensitivity', 'timeFrame': 'through study completion, an average of 1 year'}, {'measure': 'Specificity', 'timeFrame': 'through study completion, an average of 1 year'}]}, 'oversightModule': {'isUsExport': False, 'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['Breast', 'Breast Cancer', 'Neoplasm'], 'conditions': ['Breast Neoplasm']}, 'descriptionModule': {'briefSummary': 'EXoPERT has developed a liquid biopsy-based in vitro diagnostic medical device that can diagnose cancer through blood. The in vitro diagnostic medical device for this clinical performance trial is a test device that applies a technology that measures Raman spectroscopic signals of extracellular vesicles in the blood and classifies high-risk and low-risk patients for breast cancer through artificial intelligence analysis.\n\nThe test device used in this clinical performance trial is expected to assist in the differential diagnosis of high-risk and low-risk breast cancer patients by developing a software algorithm for an in vitro diagnostic medical device for auxiliary diagnosis that classifies high-risk and low-risk breast cancer patients and confirming the clinical efficacy and safety of the device through this clinical performance trial.', 'detailedDescription': "According to the Korean Breast Cancer Society, when comparing the five-year survival rate of breast cancer patients by stage from 2001 to 2012, the survival rate is 98.3% for stage 0, 96.6% for stage 1, and 91.8% for stage 2, but the survival rate for stage 4 patients with systemic metastasis is 34%. Therefore, early detection and accurate diagnosis are very important for breast cancer treatment.\n\nCurrently, breast cancer is diagnosed through breast ultrasound and mammography. These imaging modalities are defined by the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS) to define the specificity and various characteristics of the lesion. BI-RADS is divided into six categories: Category 1 is no abnormality, Category 2 is a definite benign tumor, Category 3 is a high likelihood of benign tumor (≤2% positive predictive value), Category 4 is a low likelihood of malignancy (≤2% positive predictive value), except for Category 0, which is an incomplete determination, Category 4 is a moderate suspicion of malignancy (2\\< positive predictive value \\<95%), Category 5 is a very high probability of malignancy (positive predictive value ≥95%), and Category 6 is a pathologically diagnosed malignancy.\n\nIn the Breast Imaging Reporting and Data System (BI-RADS), biopsy is not required in category 3 because the likelihood of malignancy is 2% or less, so a 6-month follow-up is recommended, and biopsy is recommended starting from category 4A, where the frequency of malignancy is 3 - 10%. However, the BI-RADS criteria have a significant number of false-positive results, which leads to an increase in unnecessary biopsies. The need for complementary diagnostic tests that can overcome the limitations of conventional imaging tests and compensate for unnecessary biopsies is being emphasized."}, 'eligibilityModule': {'sex': 'FEMALE', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '40 Years', 'genderBased': True, 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Patients categorized as BI-RADS category 4,5,6', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria(Breast malignant nodule group)\n\n1. Korean nationality\n2. Voluntary written consent to participate in this clinical performance trial study\n3. Confirmed breast cancer through imaging/pathologic diagnostic tests\n4. Those who have been diagnosed with breast cancer at a stage prior to treatment and surgery, and who agree to participate in this study and are able to provide blood samples.\n5. Those whose lesions have been confirmed by conventional examination (breast ultrasound or mammography) and who fall into BI-RADS categories 4,5,6 and have undergone biopsy or are scheduled to undergo biopsy within 2 weeks.\n6. Those who meet the following demographic conditions A. Adult female, 40 years of age or older\n7. Those who can provide the following clinical information A. Age and biological sex B. Whether or not they have dense breasts C. Occupational information D. Pathological tumor size, Clinical tumor size, Pathological TNM staging, Clinical TNM staging, tumor location, breast cancer histology findings (breast cancer subtype) E. Family history and past history of cancer F. Breast-related diseases G. Chronic disease history\n\nInclusion Criteria(Breast benign nodule group)\n\n1. Korean nationality\n2. Voluntary written consent to participate in this clinical performance trial study\n3. Diagnosed with breast nodules through imaging/pathologic diagnostic tests\n4. Those who have been diagnosed with breast nodules and have agreed to participate in this study and are able to provide blood samples at a stage prior to treatment and surgery.\n5. Those whose lesions have been confirmed by conventional examination (breast ultrasound or mammography) and fall into BI-RADS categories 4,5,6 and have undergone biopsy or are scheduled for biopsy within 2 weeks\n6. Those who meet the following demographic conditions A. Adult female, 40 years of age or older\n7. Those who can provide the following clinical information A. Age and biological sex B. Whether or not they have dense breasts C. Occupational information D. Diagnosis, nodule size, and number of nodules E. Family history and past history of cancer F. Breast-related diseases G. Chronic disease history\n\nExclusion Criteria:\n\n1. Those who have been diagnosed with cancer (malignant tumor) of any type within 5 years of the date of consent and have undergone appropriate chemotherapy/radiation treatment or surgery.\n2. Those who are confirmed to have developed breast cancer due to metastasis from malignant tumors other than breast cancer\n3. Pregnant women\n4. Participation in a drug-related clinical trial within 3 months of the date of the informed consent form'}, 'identificationModule': {'nctId': 'NCT06672302', 'briefTitle': 'A Prospective Study to Develop and Clinically Validate an in Vitro Diagnostic Medical Device That Uses Blood to Classify Patients At High Risk for Breast Cancer', 'organization': {'class': 'INDUSTRY', 'fullName': 'EXoPERT'}, 'officialTitle': 'A Multi-center, Single Arm, Prospective Exploratory in Vitro Diagnostic Devices Clinical Performance Study to Evaluate of in Vitro Diagnostic Devices for Auxiliary Diagnosis That Classifies High-risk and Low Risk Patients with Breast Cancer by Analyzing Surface-enhanced Raman Spectroscopy (SERS) Profiles of Extracellular Vesicles (EVs) Extracted from Human Plasma Using Artificial Intelligence', 'orgStudyIdInfo': {'id': 'EXP-B-P-2401'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'Breast malignant nodule group', 'interventionNames': ['Diagnostic Test: ExoPred']}, {'label': 'Breast benign nodule group', 'interventionNames': ['Diagnostic Test: ExoPred']}], 'interventions': [{'name': 'ExoPred', 'type': 'DIAGNOSTIC_TEST', 'description': 'Performing in vitro diagnostics with devices developed by EXoPERT', 'armGroupLabels': ['Breast benign nodule group', 'Breast malignant nodule group']}]}, 'contactsLocationsModule': {'locations': [{'city': 'Seoul', 'status': 'RECRUITING', 'country': 'South Korea', 'contacts': [{'name': 'Dongwon You', 'role': 'CONTACT', 'email': 'dwyou@exopert.com', 'phone': '+82-10-3062-8833'}, {'name': 'Seungpil Jung, MD', 'role': 'CONTACT'}, {'name': 'Sung Eun Song, MD', 'role': 'CONTACT'}], 'facility': 'Korea University Anam Hospital', 'geoPoint': {'lat': 37.566, 'lon': 126.9784}}, {'city': 'Seoul', 'status': 'RECRUITING', 'country': 'South Korea', 'contacts': [{'name': 'Dongwon You', 'role': 'CONTACT', 'email': 'dwyou@exopert.com', 'phone': '+82-10-3062-8833'}, {'name': 'Wooyoung Kim, MD', 'role': 'CONTACT'}, {'name': 'Ok-hee Woo, MD', 'role': 'CONTACT'}], 'facility': 'Korea University Guro Hospital', 'geoPoint': {'lat': 37.566, 'lon': 126.9784}}], 'centralContacts': [{'name': 'Dongwon You', 'role': 'CONTACT', 'email': 'dwyou@exopert.com', 'phone': '+82-10-3062-8833'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'UNDECIDED'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'EXoPERT', 'class': 'INDUSTRY'}, 'responsibleParty': {'type': 'SPONSOR'}}}}