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Dataset Information

Genomic landscape and actionable mutations of brain metastases derived from non-small cell lung cancer: A systematic review.


ABSTRACT:

Background

Brain metastases derived from non-small cell lung cancer (NSCLC) represent a significant clinical problem. We aim to characterize the genomic landscape of brain metastases derived from NSCLC and assess clinical actionability.

Methods

We searched Embase, MEDLINE, Web of Science, and BIOSIS from inception to 18/19 May 2022. We extracted information on patient demographics, smoking status, genomic data, matched primary NSCLC, and programmed cell death ligand 1 expression.

Results

We found 72 included papers and data on 2346 patients. The most frequently mutated genes from our data were EGFR (n = 559), TP53 (n = 331), KRAS (n = 328), CDKN2A (n = 97), and STK11 (n = 72). Common missense mutati

SUBMITTER: Andrews LJ 

PROVIDER: S-EPMC10734675 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature