Document Type

Article

Journal Title

PLoS One

Publication Date

2020

Volume

15

Abstract

OBJECTIVES: Oncology has become more reliant on new testing methods and a greater use of electronic medical records, which provide a plethora of information available to physicians and researchers. However, to take advantage of vital clinical and research data for precision medicine, we must initially make an effort to create an infrastructure for the collection, storage, and utilization of this information with uniquely designed disease-specific registries that could support the collection of a large number of patients.

MATERIALS AND METHODS: In this study, we perform an in-depth analysis of a series of lung adenocarcinoma patients (n = 415) with genomic and clinical data in a recently created thoracic patient registry.

RESULTS: Of the 415 patients with lung adenocarcinoma, 59% (n = 245) were female; the median age was 64 (range, 22-92) years with a median OS of 33.29 months (95% CI, 29.77-39.48). The most common actionable alterations were identified in EGFR (n = 177/415 [42.7%]), ALK (n = 28/377 [7.4%]), and BRAF V600E (n = 7/288 [2.4%]). There was also a discernible difference in survival for 222 patients, who had an actionable alteration, with a median OS of 39.8 months as compared to 193 wild-type patients with a median OS of 26.0 months (P

CONCLUSION: The use of patient registries, focused genomic panels and the appropriate use of clinical guidelines in community and academic settings may influence cohort selection for clinical trials and improve survival outcomes.

MeSH Headings

Adenocarcinoma, Adult, Aged, Aged, 80 and over, Anaplastic Lymphoma Kinase, ErbB Receptors, Female, Genetic Variation, Humans, Kaplan-Meier Estimate, Lung Neoplasms, Male, Middle Aged, Precision Medicine, Proportional Hazards Models, Proto-Oncogene Proteins B-raf, Registries, Retrospective Studies, Young Adult

ISSN

1932-6203

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Share

COinS