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Background and Purpose— Comorbid cancer is common in patients with acute ischemic stroke (AIS). As blood mRNA profiles can distinguish AIS mechanisms, we hypothesized that cancer-related AIS would have a distinctive gene expression profile. Methods— We evaluated 4 groups of 10 subjects prospectively enrolled at 3 centers from 2009 to 2018. This included the group of interest with active solid tumor cancer and AIS and 3 control groups with active cancer only, AIS only, or vascular risk factors only. Subjects in the AIS-only and cancer-only groups were matched to subjects in the cancer-stroke group by age, sex, and cancer type (if applicable). Subjects in the vascular risk factor group were matched to subjects in the cancer-stroke and stroke-only groups by age, sex, and vascular risk factors. Blood was drawn 72 to 120 hours after stroke. Total RNA was processed using 3′ mRNA sequencing. ANOVA and Fisher least significant difference contrast methods were used to estimate differential gene expression between groups. Results— In the cancer-stroke group, 50% of strokes were cryptogenic. All groups had differentially expressed genes that could distinguish among them. Comparing the cancer-stroke group to the stroke-only group and after accounting for cancer-only genes, 438 genes were differentially expressed, including upregulation of multiple genes/pathways implicated in autophagy signaling, immunity/inflammation, and gene regulation, including IL (interleukin)-1, interferon, relaxin, mammalian target of rapamycin signaling, SQSTMI1 (sequestosome-1), and CREB1 (cAMP response element binding protein-1). Conclusions— This study provides evidence for a distinctive molecular signature in blood mRNA expression profiles of patients with cancer-related AIS. Future studies should evaluate whether blood mRNA can predict detection of occult cancer in patients with AIS. Clinical Trial Registration— URL: https://clinicaltrials.gov . Unique identifier: NCT02604667.

Introduction: One-tenth of patients with stroke have cancer. We previously identified mRNA profiles differentiating patients with stroke and cancer, stroke only, and cancer only. In this study, we investigated mRNA and microRNA (miRNA) transcriptomes to identify potential miRNA regulators that underlie the observed mRNA changes. Methods: We prospectively enrolled 4 groups of subjects at 3 centers from 2009-2020. This analysis included 41 subjects with ischemic stroke plus cancer, 42 subjects with ischemic stroke only, 28 subjects with cancer only, and 30 vascular risk factor controls. Stroke-only and cancer-only subjects were matched to stroke-plus-cancer subjects by age, sex, and cancer type. We performed miRNA and mRNA sequencing on blood drawn 72-120 hours after stroke. ANCOVA estimated differential expression of miRNA and mRNA between groups (FDR p1.2). Analyses were adjusted for time from stroke onset, sex, age, vascular risk factors and batch. Results: We identified differential expression in 36 miRNA and 264 corresponding mRNA targets between the stroke-plus-cancer and stroke-only groups after accounting for cancer-only expression (Fig 1). Immune and coagulation pathways, including complement, platelet glycoproteins, TGF-β, and mTOR signaling, were overrepresented in stroke-plus-cancer vs stroke-only subjects. T cell, B cell and platelet precursor-specific genes were also overrepresented in stroke-plus-cancer subjects. When compared to other groups, stroke-plus-cancer subjects had 230 unique mRNA encoding for transcriptional regulators, including those involving splicing, epigenetics, and mediator complex genes bridging transcription factors and RNA transcriptional machinery. Conclusion: Patients with stroke and cancer had distinct signatures of miRNA and target mRNA compared to stroke patients without cancer, supporting the hypothesis that cancer-related stroke is a unique subgroup of ischemic stroke.