Ischemic Stroke with Comorbid Cancer Has Specific miRNA-mRNA Networks in Blood That Vary by Ischemic Stroke Mechanism.

TitleIschemic Stroke with Comorbid Cancer Has Specific miRNA-mRNA Networks in Blood That Vary by Ischemic Stroke Mechanism.
Publication TypeJournal Article
Year of Publication2024
AuthorsKnepp B, Navi BB, Rodriguez F, DeAngelis LM, Elkind MSV, Iadecola C, Sherman CP, Tagawa ST, Saxena A, Ocean AJ, Hull H, Jickling G, Sharp FR, Ander BP, Stamova B
JournalAnn Neurol
Volume96
Issue3
Pagination565-581
Date Published2024 Sep
ISSN1531-8249
KeywordsAged, Comorbidity, Female, Gene Regulatory Networks, Humans, Ischemic Stroke, Male, MicroRNAs, Middle Aged, Neoplasms, RNA, Messenger, Transcriptome
Abstract

OBJECTIVE: Approximately half of ischemic strokes (IS) in cancer patients are cryptogenic, with many presumed cardioembolic. We evaluated whether there were specific miRNA and mRNA transcriptome architectures in peripheral blood of IS patients with and without comorbid cancer, and between cardioembolic versus noncardioembolic IS etiologies in comorbid cancer.

METHODS: We studied patients with cancer and IS (CS; n = 42), stroke only (SO; n = 41), and cancer only (n = 28), and vascular risk factor-matched controls (n = 30). mRNA-Seq and miRNA-Seq data, analyzed with linear regression models, identified differentially expressed genes in CS versus SO and in cardioembolic versus noncardioembolic CS, and miRNA-mRNA regulatory pairs. Network-level analyses identified stroke etiology-specific responses in CS.

RESULTS: A total of 2,085 mRNAs and 31 miRNAs were differentially expressed between CS and SO. In CS, 122 and 35 miRNA-mRNA regulatory pairs, and 5 and 3 coexpressed gene modules, were associated with cardioembolic and noncardioembolic CS, respectively. Complement, growth factor, and immune/inflammatory pathways showed differences between IS etiologies in CS. A 15-gene biomarker panel assembled from a derivation cohort (n = 50) correctly classified 81% of CS and 71% of SO participants in a validation cohort (n = 33). Another 15-gene panel correctly identified etiologies for 13 of 13 CS-cardioembolic and 11 of 11 CS-noncardioembolic participants upon cross-validation; 11 of 16 CS-cryptogenic participants were predicted cardioembolic.

INTERPRETATION: We discovered unique mRNA and miRNA transcriptome architecture in CS and SO, and in CS with different IS etiologies. Cardioembolic and noncardioembolic etiologies in CS showed unique coexpression networks and potential master regulators. These may help distinguish CS from SO and identify IS etiology in cryptogenic CS patients. ANN NEUROL 2024;96:565-581.

DOI10.1002/ana.26997
Alternate JournalAnn Neurol
PubMed ID38874304
Grant ListK23 NS091395 / NS / NINDS NIH HHS / United States
R01 NS101718 / NS / NINDS NIH HHS / United States
R01 NS127976 / NS / NINDS NIH HHS / United States
K23 NS091395 / NS / NINDS NIH HHS / United States
R01 NS101718 / NS / NINDS NIH HHS / United States
R01 NS127976 / NS / NINDS NIH HHS / United States