Use of comprehensive genomic profiling for biomarker discovery for the management of non-small cell lung cancer brain metastases

被引：2

作者：

Abdulhaleem, Mohammed ^{[1
]}

Hunting, John C. ^{[1
]}

Wang, Yuezhu ^{[2
]}

Smith, Margaret R. ^{[2
]}

Agostino jr, Ralph D' ^{[3
]}

Lycan, Thomas ^{[1
]}

Farris, Michael K. ^{[4
]}

Ververs, James ^{[4
]}

Lo, Hui-Wen ^{[2
]}

Watabe, Kounosuke ^{[2
]}

Topaloglu, Umit ^{[2
]}

Li, Wencheng ^{[5
]}

Whitlow, Christopher ^{[6
]}

Su, Jing ^{[7
]}

Wang, Ge ^{[8
]}

Chan, Michael D. ^{[4
]}

Xing, Fei ^{[2
]}

Ruiz, Jimmy ^{[1
]}

机构：

[1] Wake Forest Sch Med, Dept Internal Med Hematol & Oncol, Winston Salem, NC 27157 USA

[2] Wake Forest Sch Med, Dept Canc Biol, Winston Salem, NC USA

[3] Wake Forest Sch Med, Dept Biostat & Data Sci, Winston Salem, NC 27157 USA

[4] Wake Forest Sch Med, Dept Radiat Oncol, Winston Salem, NC 27517 USA

[5] Wake Forest Sch Med, Dept Pathol Comparat Med, Winston Salem, NC USA

[6] Wake Forest Sch Med, Dept Biomed Engn, Winston Salem, NC USA

[7] Indiana Univ Sch Med, Dept Biostat & Hlth Data Sci, Indianapolis, IN USA

[8] Rensselaer Polytech Inst, Dept Biomed Engn, Troy, NY 12180 USA

来源：

FRONTIERS IN ONCOLOGY | 2023年 / 13卷

关键词：

brain metastasis; non-small cell lung cancer; outcomes; biomarkers; genomic profiling; KNIFE STEREOTACTIC RADIOSURGERY; CIRCULATING TUMOR DNA; OPEN-LABEL; FAILURE; OUTCOMES; THERAPY; RADIOTHERAPY; PREDICTORS; CRIZOTINIB; GEFITINIB;

D O I：

10.3389/fonc.2023.1214126

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

BackgroundClinical biomarkers for brain metastases remain elusive. Increased availability of genomic profiling has brought discovery of these biomarkers to the forefront of research interests.MethodIn 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). A total of 77 genetic mutation identified and correlated with nine clinical outcomes using appropriate statistical tests (general linear models, Mantel-Haenzel Chi Square test, and Cox proportional hazard regression models). For each outcome, a genetic signature composite score was created by summing the total genes wherein genes predictive of a clinically unfavorable outcome assigned a positive score, and genes with favorable clinical outcome assigned negative score.ResultsSeventy-two genes appeared in at least one gene signature including: 14 genes had only unfavorable associations, 36 genes had only favorable associations, and 22 genes had mixed effects. Statistically significant associated signatures were found for the clinical endpoints of brain metastasis velocity, time to distant brain failure, lowest radiosurgery dose, extent of extracranial metastatic disease, concurrent diagnosis of brain metastasis and NSCLC, number of brain metastases at diagnosis as well as distant brain failure. Some genes were solely associated with multiple favorable or unfavorable outcomes.ConclusionGenetic signatures were derived that showed strong associations with different clinical outcomes in NSCLC brain metastases patients. While these data remain to be validated, they may have prognostic and/or therapeutic impact in the future.Statement of translation relevanceUsing Liquid biopsy in NSCLC brain metastases patients, the genetic signatures identified in this series are associated with multiple clinical outcomes particularly these ones that lead to early or more numerous metastases. These findings can be reverse-translated in laboratory studies to determine if they are part of the genetic pathway leading to brain metastasis formation.

引用

页数：10

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