BONFIRE – Bonn Oncology Framework for Insights from Real-World Evidence: Retrospective Analyses of the CIO Cancer Registry Bonn on Treatment Outcomes, Biomarkers and Health Services Research in Oncology

BONFIRE – Bonn Oncology Framework for Insights from Real-World Evidence: Retrospective Analyses of the CIO Cancer Registry Bonn on Treatment Outcomes, Biomarkers and Health Services Research in Oncology - BONFIRE

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00040624

Enrollment

10000

Registered

2026-07-07

Start date

2026-07-07

Completion date

Unknown

Last updated

2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

C00-C97

Interventions

Group 1: Retrospective analysis of clinical routine data from adult oncology patients in the CIO Cancer Registry Bonn. No intervention is performed. Pseudonymized longitudinal data on diagnosis, thera

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Adult patients (=18 years) with malignant oncological diseases whose clinical routine data are documented in the CIO Cancer Registry Bonn. All entities of solid tumors and hematological neoplasms are included (ICD-10: C00–C97).

Exclusion criteria

Exclusion criteria: Incomplete or unusable data records; patients without documented follow-up data in the CIO registry; records outside the defined observation period.

Design outcomes

Primary

Measure	Time frame
WHAT: Overall survival (OS) and progression-free survival (PFS) depending on therapy, biomarkers and clinical parameters – defined per sub-project. WHEN: At the time of retrospective data analysis; observation period from 01/01/1990 to the current data cut. HOW: Analysis of pseudonymized registry data from the CIO Cancer Registry Bonn; Kaplan-Meier analyses, Cox regression.	—

Secondary

Measure	Time frame
Objective response rates, recurrence-free survival, treatment-related toxicities, time to treatment initiation, biomarker-associated outcomes, healthcare quality indicators; project-specifically supplemented by machine learning-based predictive models (Explainable AI).	—

Countries

Germany

Contacts

Public ContactChristian Klein

Medizinische Klinik III, Universitätsklinikum Bonn

christian.klein@ukbonn.de022828717000

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Aug 10, 2026