The Kaiser Permanente Research Bank Cancer Cohort: a collaborative resource to improve cancer care and survivorship

BMC Cancer. 2022 Feb 25;22(1):209. doi: 10.1186/s12885-022-09252-6.

Abstract

Background: The Kaiser Permanente Research Bank (KPRB) is collecting biospecimens and surveys linked to electronic health records (EHR) from approximately 400,000 adult KP members. Within the KPRB, we developed a Cancer Cohort to address issues related to cancer survival, and to understand how genetic, lifestyle and environmental factors impact cancer treatment, treatment sequelae, and prognosis. We describe the Cancer Cohort design and implementation, describe cohort characteristics after 5 years of enrollment, and discuss future directions.

Methods: Cancer cases are identified using rapid case ascertainment algorithms, linkage to regional or central tumor registries, and direct outreach to KP members with a history of cancer. Enrollment is primarily through email invitation. Participants complete a consent form, survey, and donate a blood or saliva sample. All cancer types are included.

Results: As of December 31, 2020, the cohort included 65,225 cases (56% female, 44% male) verified in tumor registries. The largest group was diagnosed between 60 and 69 years of age (31%) and are non-Hispanic White (83%); however, 10,076 (16%) were diagnosed at ages 18-49 years, 4208 (7%) are Hispanic, 3393 (5%) are Asian, and 2389 (4%) are Black. The median survival time is 14 years. Biospecimens are available on 98% of the cohort.

Conclusions: The KPRB Cancer Cohort is designed to improve our understanding of treatment efficacy and factors that contribute to long-term cancer survival. The cohort's diversity - with respect to age, race/ethnicity and geographic location - will facilitate research on factors that contribute to cancer survival disparities.

Keywords: Cancer; Cohort study; Disparities; Genetic; Survivorship.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Biological Specimen Banks*
  • Cancer Survivors / statistics & numerical data*
  • Cohort Studies
  • Electronic Health Records
  • Female
  • Humans
  • Insurance, Health
  • Male
  • Middle Aged
  • Neoplasms*
  • Quality Improvement*
  • Registries
  • United States
  • Young Adult