» Articles » PMID: 23834128

Developing a National Database for Metastatic Colorectal Cancer Management: Perspectives and Challenges

Overview
Journal Intern Med J
Specialty General Medicine
Date 2013 Jul 10
PMID 23834128
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The changing treatment landscape for metastatic colorectal cancer creates multiple potential treatment strategies. An Australian-centric database capturing comprehensive information across a range of treatment locations would create a valuable resource enabling multiple important research questions to be addressed.

Aims: To establish a collection of a consensus dataset capturing treatment and outcomes at multiple public and private hospitals across Australia.

Methods: An electronic database was developed by a panel of clinicians, to capture an agreed dataset for patients with newly diagnosed metastatic colorectal cancer. Of particular interest were clinician decision-making, the impact of comorbidities and the frequency of major adverse events.

Results: Since July 2009, data collection has been established at six public and eight private hospitals across three Australian states and territories. Successful linkage and analysis, with support from BioGrid Australia, of selected data on the initial 864 patients demonstrates that data can be captured from diverse sites, including public and private practice, that multiple factors impact on treatment delivered and outcomes achieved and that comprehensive data on rare but important adverse events can be captured. As a clinical research tool, the project has been highly successful, generating multiple presentations at national and international conferences related to a diverse range of research questions.

Conclusions: Multistate, project-specific data collection involving large numbers of patients is achievable. Providing invaluable insight into the routine clinical management of metastatic colorectal cancer in the era of targeted therapies, this also creates a significant resource for research, including many questions not being addressed by clinical trials.

Citing Articles

Accuracy of Baseline Magnetic Resonance Imaging for Staging Rectal Cancer Patients Proceeding Directly to Surgery.

Milanzi E, Pelly R, Hayes I, Gibbs P, Faragher I, Reece J J Surg Oncol. 2024; 130(8):1674-1682.

PMID: 39233560 PMC: 11849709. DOI: 10.1002/jso.27852.


Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer.

Tan T, Mouradov D, Lee M, Gard G, Hirokawa Y, Li S Cell Rep Med. 2023; 4(12):101335.

PMID: 38118423 PMC: 10783557. DOI: 10.1016/j.xcrm.2023.101335.


Natural Language Processing of Computed Tomography Reports to Label Metastatic Phenotypes With Prognostic Significance in Patients With Colorectal Cancer.

Andrieu P, Pernicka J, Yaeger R, Lupton K, Batch K, Zulkernine F JCO Clin Cancer Inform. 2022; 6:e2200014.

PMID: 36103642 PMC: 9848599. DOI: 10.1200/CCI.22.00014.


Leveraging Comprehensive Cancer Registry Data to Enable a Broad Range of Research, Audit and Patient Support Activities.

Lee B, Gately L, Lok S, Tran B, Lee M, Wong R Cancers (Basel). 2022; 14(17).

PMID: 36077668 PMC: 9454529. DOI: 10.3390/cancers14174131.


Beyond standard data collection - the promise and potential of BRAIN (Brain tumour Registry Australia INnovation and translation registry).

Gately L, Drummond K, Rosenthal M, Harrup R, Dowling A, Gogos A BMC Cancer. 2022; 22(1):604.

PMID: 35655179 PMC: 9161524. DOI: 10.1186/s12885-022-09700-3.