Decoding Recurrence in Early-Stage and Locoregionally Advanced Non-Small Cell Lung Cancer: Insights From Electronic Health Records and Natural Language Processing.

Kyeryoung Lee¹, Zongzhi Liu¹, Qing Huang², David Corrigan¹, Iftekhar Kalsekar², Tomi Jun¹, Gustavo Stolovitzky¹, William K Oh^1,3, Ravi Rajaram⁴, Xiaoyan Wang¹

¹GeneDx (Sema4), Stamford, CT.

²Lung Cancer Initiative, Johnson & Johnson, New Brunswick, NJ.

³Icahn School of Medicine at Mount Sinai, New York, NY.

⁴Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.

PubMed PMC DOI PDF

Abstract

PURPOSE: Recurrences after curative resection in early-stage and locoregionally advanced non-small cell lung cancer (NSCLC) are common, necessitating a nuanced understanding of associated risk factors. This study aimed to establish a natural language processing (NLP) system to efficiently curate recurrence data in NSCLC and analyze risk factors longitudinally. PATIENTS AND METHODS: Electronic hea…

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