Genomic Signature for Initial Brain Metastasis Velocity (iBMV) in Non-Small-Cell Lung Cancer Patients: The Elusive Biomarker to Predict the Development of Brain Metastases?
<b>Background/Objectives</b>: 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. <b>Methods</b>: 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. Two-sample <i>t</i>-testing was used to identify mutations statistically associated with iBMV (<i>p</i> < 0.1). A value of +1 was assigned to each mutation with a positive association ("deleterious genes"), and a value of -1 to each with an inverse association ("protective genes"). The sum of these values was calculated to define iBMV risk scores of -1, 0 and 1. Pearson correlation test was used to determine the association between iBMV risk score and calculated iBMV, and a competing risk analysis assessed for death as a competing risk to the development of BMs. <b>Results</b>: A total of 312 patients were included in the analysis, 218 of whom (70%) developed brain metastases. "Deleterious genes" included ARID1A, BRAF, CDK4, GNAQ, MLH1, MSH6, PALB2, RAD51D, RB1 and TSC1; "protective genes" included ARAF, IDH1, MYC, and PTPN11. iBMV risk scores of 1, 0 and -1, predicted an 88%, 61% and 65% likelihood of developing a BM (<i>p</i> < 0.01). A competing risk analysis found a significant association between iBMV risk scores of 1 vs. 0 and 1 vs. -1, and the likelihood of developing a BM using death as a competing risk. Overall survival (OS) at 1 and 2 years for patients with iBMV risk scores of 1, 0 and -1 was 72% vs. 84% vs. 85% and 46% vs. 69% vs. 70% (<i>p</i> < 0.02). <b>Conclusions</b>: Development of a genomic signature for iBMV via non-invasive liquid biopsy appears feasible in NSCLC patients. Patients with a positive iBMV risk score were more likely to develop brain metastases. Validation of this signature could lead to a biomarker with the potential to guide treatment recommendations and surveillance schedules.
Authors
- Christopher T. Whitlow (ORCID: https://orcid.org/0000-0003-2392-8293)
- Steven E. Glynn (ORCID: https://orcid.org/0000-0001-6247-8913)
- C.M. Lanier (ORCID: https://orcid.org/0000-0003-0127-9253)
- Corbin A. Helis (ORCID: https://orcid.org/0000-0001-6097-7882)
- David R. Soto‐Pantoja (ORCID: https://orcid.org/0000-0003-0107-7678)
- Ralph B. D’Agostino (ORCID: https://orcid.org/0000-0002-3550-8395)
- Fei Xing (ORCID: https://orcid.org/0000-0001-6350-0764)
- Jing Su (ORCID: https://orcid.org/0000-0003-4917-6173)
- Jaclyn J. Renfrow (ORCID: https://orcid.org/0000-0003-4891-498X)
- Michael Farris (ORCID: https://orcid.org/0000-0003-2948-227X)
- Thomas Lycan (ORCID: https://orcid.org/0000-0001-9475-1558)
- Jimmy Ruiz (ORCID: https://orcid.org/0000-0002-7242-3315)
- W. Jeffrey Petty (ORCID: https://orcid.org/0000-0002-1553-1838)
- Adrian W. Laxton (ORCID: https://orcid.org/0000-0002-4631-5476)
- Michael D. Chan (ORCID: https://orcid.org/0000-0002-5278-6709)
- Christina K. Cramer (ORCID: https://orcid.org/0000-0001-7618-3921)
- Stephen B. Tatter (ORCID: https://orcid.org/0000-0002-1063-0431)
- Margaret Smith (ORCID: https://orcid.org/0000-0002-3523-7150)
- Yuezhu Wang (ORCID: https://orcid.org/0009-0000-2856-8528)
- Mohammed Abdulhaleem (ORCID: https://orcid.org/0000-0002-4429-2178)
- Ariel R. Choi (ORCID: https://orcid.org/0000-0002-0542-6436)
- Yan Jiang (ORCID: https://orcid.org/0009-0004-3544-3642)
Institutions
- West Virginia University (US)
- Indiana University School of Medicine
- Wake Forest University (US)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Cancers
- Published
- 2025-03-15
- DOI
- https://doi.org/10.3390/cancers17060991
- Citations
- 1
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52