Brain metastasis screening in the molecular age.
Joanna K TaborAmanda OnoichencoVinayak NarayanA Gabriella WernickeRandy S D'AmicoMorana VojnicPublished in: Neuro-oncology advances (2023)
The incidence of brain metastases (BM) amongst cancer patients has been increasing due to improvements in therapeutic options and an increase in overall survival. Molecular characterization of tumors has provided insights into the biology and oncogenic drivers of BM and molecular subtype-based screening. Though there are currently some screening and surveillance guidelines for BM, they remain limited. In this comprehensive review, we review and present epidemiological data on BM, their molecular characterization, and current screening guidelines. The molecular subtypes with the highest BM incidence are epithelial growth factor receptor -mutated non-small cell lung cancer (NSCLC), BRCA1 , triple-negative (TN), and HER2+ breast cancers, and BRAF -mutated melanoma. Furthermore, BMs are more likely to present asymptomatically at diagnosis in oncogene-addicted NSCLC and BRAF -mutated melanoma. European screening standards recommend more frequent screening for oncogene-addicted NSCLC patients, and clinical trials are investigating screening for BM in hormone receptor+, HER2+, and TN breast cancers. However, more work is needed to determine optimal screening guidelines for other primary cancer molecular subtypes. With the advent of personalized medicine, molecular characterization of tumors has revolutionized the landscape of cancer treatment and prognostication. Incorporating molecular characterization into BM screening guidelines may allow physicians to better identify patients at high risk for BM development and improve patient outcomes.
Keyphrases
- small cell lung cancer
- end stage renal disease
- clinical trial
- brain metastases
- growth factor
- chronic kidney disease
- ejection fraction
- public health
- newly diagnosed
- primary care
- randomized controlled trial
- prognostic factors
- advanced non small cell lung cancer
- transcription factor
- peritoneal dialysis
- machine learning
- young adults
- brain injury
- big data
- papillary thyroid
- white matter
- tyrosine kinase
- cerebral ischemia
- deep learning
- squamous cell
- open label