Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D002289', 'term': 'Carcinoma, Non-Small-Cell Lung'}, {'id': 'D008175', 'term': 'Lung Neoplasms'}], 'ancestors': [{'id': 'D002283', 'term': 'Carcinoma, Bronchogenic'}, {'id': 'D001984', 'term': 'Bronchial Neoplasms'}, {'id': 'D012142', 'term': 'Respiratory Tract Neoplasms'}, {'id': 'D013899', 'term': 'Thoracic Neoplasms'}, {'id': 'D009371', 'term': 'Neoplasms by Site'}, {'id': 'D009369', 'term': 'Neoplasms'}, {'id': 'D008171', 'term': 'Lung Diseases'}, {'id': 'D012140', 'term': 'Respiratory Tract Diseases'}]}, 'interventionBrowseModule': {'meshes': [{'id': 'D017422', 'term': 'Sequence Analysis, DNA'}, {'id': 'D020869', 'term': 'Gene Expression Profiling'}], 'ancestors': [{'id': 'D017421', 'term': 'Sequence Analysis'}, {'id': 'D005821', 'term': 'Genetic Techniques'}, {'id': 'D008919', 'term': 'Investigative Techniques'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITH_DNA', 'description': 'Tissue and blod'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 60}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2018-08-22', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2021-08', 'completionDateStruct': {'date': '2019-12-01', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2021-08-03', 'studyFirstSubmitDate': '2018-08-29', 'studyFirstSubmitQcDate': '2018-09-03', 'lastUpdatePostDateStruct': {'date': '2021-08-04', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2018-09-05', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2019-12-01', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Predictive, prognostic and resistance signatures', 'timeFrame': 'Until progression or 1 year after immunotherapy start date', 'description': 'Next Generation Sequencing and gene expression analysis with NanoString PanCancer IO 360 panel in tissue samples at baseline and 1) at progression or 2) one year after immunotherapy start and no progression.'}]}, 'oversightModule': {'oversightHasDmc': True, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['immunotherapy', 'immune checkpoint inhibitors', 'biomarkers', 'sequencing'], 'conditions': ['Non-small-cell Lung Cancer', 'Carcinoma, Non-Small-Cell Lung', 'Lung Neoplasm']}, 'descriptionModule': {'briefSummary': 'Lung cancer patients have a poor prognosis and only around 20 % is alive after 5 years. However, for advanced non-small cell lung cancer immunotherapy has become a cornerstone of treatment.\n\nTwo immunotherapeutic drugs for lung cancer have been approved in the last two years. Immunotherapy blocks the capability of cancer cells to inactivate the patient´s immune system, thus re-enabling eradication of cancer cells. In clinical trials, immunotherapy has shown superior survival and less toxicity compared to standard chemotherapy.\n\nWhether the patients are candidates for immunotherapy or not is currently based on an unprecise biomarker that poorly predicts the patients who may benefit from immunotherapy. Immunotherapy can cause severe adverse effects and is expensive. Consequently, novel biomarkers are urgently needed from a patient perspective as well as a socioeconomic perspective.\n\nThe objective of the project is to investigate changes in genes and other signals in tissue and blood samples from immunotherapy treated lung cancer patients. The investigators expect to identify new biomarkers that can predict with high precision, which patients may benefit from immunotherapy. On-treatment, the investigators also aim to identify biomarkers that predict the treatment response and reveal the underlying mechanisms when cancer cells become resistant to the treatment.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'PROBABILITY_SAMPLE', 'studyPopulation': 'Around 100 patients with advanced NSCLC, who meet the inclusion criteria, are consecutively included in the study. The outpatient clinic at the Departments of Oncology, Aalborg University Hospital and Aarhus University Hospital recruit and include the patients. Patients are candidates to the LimBio protocol regardless of immunotherapy treatment line.', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Biopsy verified NSCLC\n* ≥ 18 years\n* WHO/ECOG performance status ≤ 2\n* Measurable disease according to RECIST 1.1\n* Candidate for immunotherapy treatment\n* Understand and accept oral and written information\n* Written informed consent\n\nExclusion Criteria:\n\n* Candidate for surgical and/or oncological treatment with curative intention\n* Other synchronous cancer'}, 'identificationModule': {'nctId': 'NCT03658460', 'acronym': 'LimBio', 'briefTitle': 'Immune Checkpoint Inhibitors in Advanced Non-small Cell Lung Cancer and Discovery of New Biomarkers', 'organization': {'class': 'OTHER', 'fullName': 'Aalborg University Hospital'}, 'officialTitle': 'Immune Checkpoint Inhibitors in Advanced Non-Small Cell Lung Cancer and Discovery of New Biomarkers', 'orgStudyIdInfo': {'id': 'AaUH ONK 08-2018'}}, 'armsInterventionsModule': {'interventions': [{'name': 'DNA sequencing', 'type': 'OTHER', 'otherNames': ['Gene expression analysis'], 'description': 'Targeted next generation sequencing and gene expression analysis with focus on immuno-oncology signatures'}]}, 'contactsLocationsModule': {'locations': [{'zip': '9000', 'city': 'Aalborg', 'country': 'Denmark', 'facility': 'Dept. of Oncology, Aalborg University Hospital', 'geoPoint': {'lat': 57.048, 'lon': 9.9187}}], 'overallOfficials': [{'name': 'Andreas Carus, MD, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Dept. of oncology, Aalborg University Hospital'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Aalborg University Hospital', 'class': 'OTHER'}, 'collaborators': [{'name': 'Aarhus University Hospital', 'class': 'OTHER'}], 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Principal Investigator', 'investigatorFullName': 'Andreas Carus', 'investigatorAffiliation': 'Aalborg University Hospital'}}}}