Summary of the 12 Most Common Cancers in the CancerLinQ Discovery (CLQD) Database

Author:

Potter Danielle M.1ORCID,Riffon Mark F.1,Manning Brittany1,Taylor Aliki2ORCID,Emmas Cathy3ORCID,Kabadi Shaum4ORCID,Jiang Miao5,Miller Robert S.1ORCID

Affiliation:

1. CancerLinQ, American Society of Clinical Oncology, Alexandria, VA

2. Real World Evidence Generation, Medical Evidence, Oncology Medical, AstraZeneca, Cambridge, United Kingdom

3. Real World Data Science, Medical Evidence, Biopharmaceuticals, AstraZeneca, Cambridge, United Kingdom

4. Real World Evidence Generation, Medical Evidence, Oncology Medical, AstraZeneca, Gaithersburg, MD

5. Real World Evidence, Oncology Biometrics, Oncology R&D, AstraZeneca, Gaithersburg, MD

Abstract

PURPOSE In 2014, the ASCO developed CancerLinQ (CLQ), a health technology platform for oncology. The CLQ Discovery (CLQD) database was created to make data available for research and this paper provides a summary of this database. METHODS This study described the clinical and demographic characteristics of the 12 most common cancers in the CLQD database. We included patients with a new malignant tumor diagnosis between January 1, 2013, and December 31, 2018, of the following cancers: breast, lung and bronchus, prostate, colon and rectum, melanoma of the skin, bladder, non-Hodgkin lymphoma, kidney and renal pelvis, uterus, leukemia, pancreas, and thyroid. Patients with an in-situ diagnosis were excluded. Summary statistics and Kaplan-Meier survival estimates were calculated for each tumor. RESULTS From 2013 to 2018, 491,360 patients were diagnosed with the study tumors. Breast cancer (139,506) was the most common, followed by lung and bronchus (70,959), prostate (63,303), and colon and rectum (53,504). The median age at diagnosis (years) was 61, 68, 68, and 64 in breast, lung and bronchus, prostate, and colon and rectum cohorts, respectively. Compared to the SEER 5-year overall survival estimates for several tumor types were higher in the CLQD database, possibly because of incomplete mortality capture in electronic health records. CONCLUSION This paper presents the first description of the CLQD database since its inception. CLQ will continue to evolve over time, and the breadth and depth of this data asset will continue to grow. ASCO and CLQ's long-term goal is to improve the quality of patient care and create a sustainable database for oncology researchers. These results demonstrate that CLQ built a scalable database that can be used for oncology research.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

General Medicine

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