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Association of patient characteristics and tumor genomics with clinical outcomes among patients with non–small cell lung cancer using a clinicogenomic database

Published

April 2019

Citation

Singal G, Miller PG, Agarwala V, Li G, Kaushik G, Backenroth D, Gossai A, Frampton GM, Torres AZ, Lehnert E, Bourque D, O’Connell C, Bowser B, Caron T, Baydur E, Seidl-Rathkopf K, Ivanov I, Alpha-Cobb G, Guria A, He J, Frank S, Nunnally A, Bailey M, Jaskiw A, Feuchtbaum D, Nussbaum N, Abernethy AP, Miller VA. . JAMA. .

https://jamanetwork.com/journals/jama/article-abstract/2730114

Authors:
Singal G, Miller PG, Agarwala V, Li G, Kaushik G, Backenroth D, Gossai A, Frampton GM, Torres AZ, Lehnert E, Bourque D, O’Connell C, Bowser B, Caron T, Baydur E, Seidl-Rathkopf K, Ivanov I, Alpha-Cobb G, Guria A, He J, Frank S, Nunnally A, Bailey M, Jaskiw A, Feuchtbaum D, Nussbaum N, Abernethy AP, Miller VA.

Question  Can clinical and genomic data obtained in routine clinical care be linked in a Health Insurance Portability and Accountability Act–compliant manner to yield clinically relevant insights?

Findings  A deidentified database of 28 998 patients with cancer, approximately 85% of whom were treated in a community setting, was generated by linking electronic health record–derived longitudinal clinical data with comprehensive tumor genomic profiling. Analysis of 4064 patients with non–small cell lung cancer revealed clinical, genomic, and therapeutic associations that were consistent with prior reports and extended previous observations on evolving community practice patterns.

Meaning  Using data obtained from routine clinical care to generate a validated, multi-institution clinicogenomic database is feasible and can yield novel, clinically meaningful insights.

Sources:
JAMA

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