Development of metastatic brain disease involves progression through lung metastases in EGFR mutated non-small cell lung cancer.

ABSTRACT: Lung cancer is often classified by the presence of oncogenic drivers, such as epidermal growth factor receptor (EGFR), rather than patterns of anatomical distribution. While metastatic spread may seem a random and unpredictable process, we explored the possibility of using its quantifiable nature as a measure of describing and comparing different subsets of disease. We constructed a database of 664 non-small cell lung cancer (NSCLC) patients treated at the University of Southern California Norris Comprehensive Cancer Center and the Los Angeles County Medical Center. Markov mathematical modeling was employed to assess metastatic sites in a spatiotemporal manner through every time point in progression of disease. Our findings identified a preferential pattern of primary lung disease p

SUBMITTER: In G 

PROVIDER: S-EPMC6166474 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature