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.