Ignite Creation Date:
2025-12-25 @ 2:10 AM
Ignite Modification Date:
2025-12-28 @ 12:05 AM
Study NCT ID:
NCT05833360
Status:
RECRUITING
Last Update Posted:
2025-03-18
First Post:
2023-04-17
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Prospective Study of oncRNA Stratification of Cancer by Size and Stage
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D009369', 'term': 'Neoplasms'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITH_DNA', 'description': 'Blood samples'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 2400}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'RECRUITING', 'startDateStruct': {'date': '2023-07-14', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-03', 'completionDateStruct': {'date': '2030-07-14', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2025-03-14', 'studyFirstSubmitDate': '2023-04-17', 'studyFirstSubmitQcDate': '2023-04-17', 'lastUpdatePostDateStruct': {'date': '2025-03-18', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2023-04-27', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2030-07-14', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Optimize non-invasive cancer biomarker tests based on its small noncoding (snc)RNA technology', 'timeFrame': 'Seven years', 'description': 'Analyze small noncoding (snc)RNA profiles differentially expressed in specimens obtained from case and control subjects to identify candidate sncRNA biomarkers for use in deriving and optimizing oncRNA diagnostic models for multiple cancer applications, including screening, early diagnosis, minimal residual disease and monitoring for tumor recurrence'}, {'measure': 'Optimize oncRNA test clinical performance', 'timeFrame': 'Seven years', 'description': 'Assess small noncoding (snc)RNA profiles potentially associated with demographic parameters, medication use, comorbid conditions, and/or cancer-predisposing conditions which might overlap with candidate cancer biomarkers to optimize oncRNA model clinical specificity performance, i.e., minimize false positives.'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['cancer', 'liquid biopsy', 'early detection', 'diagnostics'], 'conditions': ['Cancer']}, 'referencesModule': {'references': [{'pmid': '30397354', 'type': 'BACKGROUND', 'citation': 'Fish L, Zhang S, Yu JX, Culbertson B, Zhou AY, Goga A, Goodarzi H. Cancer cells exploit an orphan RNA to drive metastatic progression. Nat Med. 2018 Nov;24(11):1743-1751. doi: 10.1038/s41591-018-0230-4. Epub 2018 Nov 5.'}], 'seeAlsoLinks': [{'url': 'https://www.nature.com/articles/s41591-018-0230-4', 'label': 'circulating oncRNAs present a novel avenue for cancer fingerprinting using liquid biopsies'}]}, 'descriptionModule': {'briefSummary': "Cancer strikes about one in three women and one in two men in the U.S. and more than 600,000 die from it each year. The best chance to reduce these numbers and save lives is through early detection and intervention.\n\nThe investigators are developing a blood test to detect cancer from a simple blood draw also referred to as a liquid biopsy. This test is based on orphan non-coding RNAs (oncRNAs) that are abundant in the blood of patients with cancer and largely absent in people without cancer. Using artificial intelligence (AI) and machine learning (ML) investigators are able to interpret the thousands of oncRNAs found in the blood of patients with cancer by identifying unique, cancer-specific patterns. oncRNA patterns can be used to detect several types of cancer and detect cancer at the earliest stages.\n\nThis is a prospective, observational study to collect blood samples and medical information from participants with and without cancer to represent the population in the USA. The investigators have designed the study to include participants without cancer, participants with conditions that are a predisposition for cancer, participants with pre-malignant lesions, and participants with cancer. Patients with a wide variety of cancers are going to be included i.e. bladder, breast, colorectal, esophageal, gastric, kidney, liver, lung, ovarian, pancreatic, prostate, and uterine cancer.\n\nEach participant will be asked to donate a small blood sample and to share their medical information. The participant's medical information will be updated during the course of the study. The blood will be tested for oncRNA. The objective is to create a blood repository and associated medical database to develop a blood test for cancer, for different cancer types. The study is designed to be inclusive and represent the population in America.\n\nIf this study is successful, the results will enable a world where cancer can be detected early with a simple blood test and diagnosed accurately, with better chances of cure. The investigators believe this study has the potential to transform cancer detection in America."}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Eligible individuals in the USA.', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Age ≥18 years\n* Able and willing to provide informed consent\n* Able and willing to have 35-40 mL of whole blood drawn\n\nExclusion Criteria:\n\n* Age \\<18 years\n* Prior history of cancer, except for non-melanoma skin cancer\n* Prior history of receipt of any blood products within 30 days of enrollment\n* Receipt of any cancer therapy, e.g., surgical, radiation, or medical including neoadjuvant treatment, prior to study enrollment\n* Prior history of receipt of any non-cancer system immune modulation therapy within the last 60 days (ex: monoclonal antibodies)\n* Prior history of organ transplantation\n* Current or prior pregnancy within the last 12 months\n* Unable or unwilling to provide informed consent'}, 'identificationModule': {'nctId': 'NCT05833360', 'briefTitle': 'Prospective Study of oncRNA Stratification of Cancer by Size and Stage', 'organization': {'class': 'INDUSTRY', 'fullName': 'Exai Bio Inc.'}, 'officialTitle': 'Prospective Study of oncRNA Stratification of Cancer by Size and Stage', 'orgStudyIdInfo': {'id': 'CP-23001'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'Control Cohort', 'description': 'Participants without cancer, with general medical comorbidities', 'interventionNames': ['Device: Exai oncRNA blood test']}, {'label': 'Cancer Predisposition Cohort', 'description': 'Participants without cancer, with comorbidities that induce cancer predisposition.', 'interventionNames': ['Device: Exai oncRNA blood test']}, {'label': 'Pre-Malignant Condition Cohort', 'description': 'Participants without cancer, with pre-malignant conditions', 'interventionNames': ['Device: Exai oncRNA blood test']}, {'label': 'Cancer Patients Cohort', 'description': 'Participants with a cancer diagnosis.', 'interventionNames': ['Device: Exai oncRNA blood test']}], 'interventions': [{'name': 'Exai oncRNA blood test', 'type': 'DEVICE', 'description': 'A phlebotomist will collect approximately 40 ml (about 2-3 tablespoons) of blood from the subjects after consent. The Exai oncRNA blood test will be run on the blood samples.', 'armGroupLabels': ['Cancer Patients Cohort', 'Cancer Predisposition Cohort', 'Control Cohort', 'Pre-Malignant Condition Cohort']}]}, 'contactsLocationsModule': {'locations': [{'zip': '94303', 'city': 'Palo Alto', 'state': 'California', 'status': 'RECRUITING', 'country': 'United States', 'contacts': [{'name': 'Clinical Operations Team', 'role': 'CONTACT', 'email': 'clinical-ops@exai.bio', 'phone': '650-204-0423'}], 'facility': 'Exai Bio Inc.', 'geoPoint': {'lat': 37.44188, 'lon': -122.14302}}, {'zip': '89502', 'city': 'Reno', 'state': 'Nevada', 'status': 'RECRUITING', 'country': 'United States', 'contacts': [{'name': 'Renown Office of Clinical Research', 'role': 'CONTACT', 'email': 'renown-crd@renown.org', 'phone': '775-982-3646'}, {'name': 'Lee S Schwartzberg, MD', 'role': 'PRINCIPAL_INVESTIGATOR'}], 'facility': 'Renown Health', 'geoPoint': {'lat': 39.52963, 'lon': -119.8138}}], 'centralContacts': [{'name': 'Clinical Operations Team', 'role': 'CONTACT', 'email': 'clinical-ops@exai.bio', 'phone': '650-204-0423'}], 'overallOfficials': [{'name': 'Lee Schwartzberg, MD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Exai Bio Inc.'}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Exai Bio Inc.', 'class': 'INDUSTRY'}, 'responsibleParty': {'type': 'SPONSOR'}}}}