Cancers (Basel)
March 2025
: No prior studies have attempted to identify a biomarker for initial brain metastasis velocity (iBMV), with limited studies attempting to correlate genomic data with the development of brain metastases. : Patients with non-small-cell lung cancer (NSCLC) who underwent next-generation sequencing (NGS) were identified in our departmental database. iBMV was calculated by dividing the number of BMs by the interval of time between primary cancer and BM diagnosis.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
October 2024
Purpose/objectives: Biomarkers for extracranial oligometastatic disease remain elusive and few studies have attempted to correlate genomic data to the presence of true oligometastatic disease.
Methods: Patients with non-small cell lung cancer (NSCLC) and brain metastases were identified in our departmental database. Electronic medical records were used to identify patients for whom liquid biopsy-based comprehensive genomic profiling (Guardant Health) was available.
Background: Clinical biomarkers for brain metastases remain elusive. Increased availability of genomic profiling has brought discovery of these biomarkers to the forefront of research interests.
Method: In this single institution retrospective series, 130 patients presenting with brain metastasis secondary to Non-Small Cell Lung Cancer (NSCLC) underwent comprehensive genomic profiling conducted using next generation circulating tumor deoxyribonucleic acid (DNA) (Guardant Health, Redwood City, CA).
Different types of therapy are currently being used to treat non-small cell lung cancer (NSCLC) depending on the stage of tumor and the presence of potentially druggable mutations. However, few biomarkers are available to guide clinicians in selecting the most effective therapy for all patients with various genetic backgrounds. To examine whether patients' mutation profiles are associated with the response to a specific treatment, we collected comprehensive clinical characteristics and sequencing data from 524 patients with stage III and IV NSCLC treated at Atrium Health Wake Forest Baptist.
View Article and Find Full Text PDFBackground: Leptomeningeal failure (LMF) represents a devastating progression of disease following resection of brain metastases (BrM). We sought to identify a biomarker at time of BrM resection that predicts for LMF using mass spectrometry-based proteomic analysis of resected BrM and to translate this finding with histochemical assays.
Methods: We retrospectively reviewed 39 patients with proteomic data available from resected BrM.
Background: Previous series have demonstrated central nervous system activity for immune checkpoint inhibitors (ICIs) and shown improved local control between stereotactic radiosurgery (SRS) and ICI for lung cancer brain metastases.
Objective: To assess whether the addition of ICI to SRS for melanoma brain metastasis improves outcomes when compared with historical control group treated in the era before ICI availability.
Methods: In this single institution retrospective series, outcomes of 24 patients with melanoma receiving concurrent ICI and SRS were compared with 111 historical controls treated before ICI era.
Background: While immunotherapy has been shown to improve survival and decrease neurologic death in patients with brain metastases, it remains unclear whether this improvement is due to prevention of new metastasis to the brain.
Method: We performed a retrospective review of patients presenting with brain metastases simultaneously with the first diagnosis of metastatic disease and were treated with upfront immunotherapy as part of their treatment regimen and stereotactic radiosurgery (SRS) to the brain metastases. We compared this cohort with a historical control population (prior to the immunotherapy era) who were treated with pre-immunotherapy standard of care systemic therapy and with SRS to the brain metastases.
Chin Clin Oncol
April 2022
Objective: To provide a review of the current status of predictive nomograms and brain metastasis velocity (BMV) in the prognostication of brain metastasis outcomes.
Background: Statistical analyses have been used for many years in an attempt to predict clinical outcomes of brain metastasis patients. Such models have attempted to predict such endpoints as survival and which patients would most benefit from stereotactic radiosurgery (SRS) or whole brain radiotherapy (WBRT).