BostonGene-Integrated Genomic Registry (BIGR)
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Malignancy. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
BostonGene-Integrated Genomic Registry Study
Overview
The purpose of this project is to develop a comprehensive database of genomic, transcriptomic, molecular, and clinical characteristics of oncology patients to discover, define, and develop genomic and transcriptomic markers to improve future clinical outcomes across cancer types
Detailed description
Immuno- and targeted therapies have shown promising results for many types of cancer (1). However, the effectiveness of these treatments is not optimal for many patients (2). Therefore, further research is needed to discover, define, and develop genomic, transcriptomic, and integrated molecular markers that can improve clinical outcomes across cancer types (3). Unfortunately, current research is restricted by the limited availability of genomic and transcriptomic results linked to clinical outcomes (3). This study will allow for the collection of key clinical data, including longitudinal follow-up, linked with individual genetic and molecular findings in a single comprehensive registry-based databank. Analysis of these data may lead to advances across cancer subtypes through the identification of transcriptomic and genomic associations with therapies.
Clinical and pathological information, including detailed genetic information from a participant's tumor biopsy, will be obtained by the research staff for each participant enrolled in the BIGR Study. Clinical information will include relevant details about the patient's diagnosis and treatment and will be stored in a secure electronic registry database. No extra scans or procedures for this study will be collected as part of this study. Information will be collected regarding a participant's initial diagnosis, treatment, and outcome. To obtain this information, study staff will contact participants or a participant's doctor at regular time intervals for up to 15 years.
Primary outcome measures
- association between major finding and outcome, Descriptive [Time frame: 5 years]
Secondary outcome measures (2)
- Predictive probability [Time frame: 5 years]
- Clinical trials matching [Time frame: 5 years]
Eligibility criteria
Inclusion criteria
- Suspected or confirmed malignancy
- Planned comprehensive genomic (> 100 genes) and/or molecular analysis; or genomic and/or molecular data available from prior sequencing
- Baseline demographics and treatment information available
- Willingness for future contact by BIRG study personnel to provide information regarding associated cancer outcomes and treatment.
- Signed informed consent to participate in the study.
- Living in the United States at the time of enrollment
Exclusion criteria
Life expectancy < 3 months
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
United States · 1 center
- BostonGene — Waltham
Publications
- Murciano-Goroff YR, Warner AB, Wolchok JD. The future of cancer immunotherapy: microenvironment-targeting combinations. Cell Res. 2020 Jun;30(6):507-519. doi: 10.1038/s41422-020-0337-2. Epub 2020 May 28. PMID 32467593
- Sambi M, Bagheri L, Szewczuk MR. Current Challenges in Cancer Immunotherapy: Multimodal Approaches to Improve Efficacy and Patient Response Rates. J Oncol. 2019 Feb 28;2019:4508794. doi: 10.1155/2019/4508794. eCollection 2019. PMID 30941175
- Olivier M, Asmis R, Hawkins GA, Howard TD, Cox LA. The Need for Multi-Omics Biomarker Signatures in Precision Medicine. Int J Mol Sci. 2019 Sep 26;20(19):4781. doi: 10.3390/ijms20194781. PMID 31561483
Identifiers
NCT: NCT04991922 · BG-001