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The plasma miRnome and venous thromboembolism in high-grade glioma: miRNA sequencing of a nested case-control cohort

ABSTRACT: Background: Patients with high-grade gliomas are at high risk of venous thromboembolism (VTE). MicroRNAs (miRNAs) are small non-coding RNAs with multiple roles in tumor biology, hemostasis and platelet function. We aimed to explore the association between plasma miRNAs and risk of VTE in high-grade glioma. Results: We conducted a nested-case control study within 152 patients with WHO grade IV glioma that had been included in the Vienna Cancer and Thrombosis Study (CATS), a prospective cohort study focused on risk factors for VTE in newly diagnosed or recurrent cancer. At study inclusion a single blood draw was taken, and patients were thereafter followed for a maximum of two years. During that time, 24 patients (16%) developed VTE. Of the other 128 patients, we randomly selected 24 age- and sex-matched controls. After sample quality control, the final group size was 21 VTE-patients and 23 without VTE. Small RNA next-generation sequencing of plasma was performed. We observed that hsa-miR-451a was globally the most abundant miRNA. Notably, 51% of all miRNAs showed a correlation with platelet count. The analysis of miRNAs differentially regulated in VTE patients – with and without platelet adjustment – identified potential VTE biomarker candidates such as has-miR- 221-3p. Conclusion: We here provide one of the largest and deepest peripheral blood miRNA datasets of high-grade glioma patients so far. Further, we confirm previous observations of a considerable impact of platelet count on the blood miRNome. And, finally, we present first VTE biomarker candidates that can serve as the starting point for future confirmatory research.

ORGANISM(S): Homo sapiens

PROVIDER: GSE222666 | GEO | 2023/12/31

REPOSITORIES: GEO

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Project description:Recurrent venous thromboembolism (VTE) occurs infrequently following a provoked event but occurs in up to 30% of individuals following an initial unprovoked event. We studied 134 patients with VTE separated into 3 groups: (1) âlow-riskâ patients had â¥1 provoked VTE; (2) âmoderate-riskâ patients had no more than 1 unprovoked VTE; (3) âhigh-riskâ patients had â¥2 unprovoked VTE. 44 individuals with no history of VTE were enrolled as healthy controls. Consented individuals were enrolled at 4 medical centers in the US. Total RNA from whole blood was isolated and hybridized to Illumina HT-12 V4 Beadchips to assay whole genome expression. Using class prediction analysis, we distinguished high-risk patients from healthy controls with good receiver operating curve characteristics (AUC=0.88). We also distinguished high-risk from low-risk individuals, moderate-risk individuals from healthy controls, and low-risk individuals from healthy controls with AUCâs of 0.72, 0.77 and 0.72, respectively. Using differential expression analysis, we identified genes relevant to coagulation, immune response and vascular biology, such as SELP and CD46, which were differentially expressed in at least two comparisons. Neither approach distinguished the moderate-risk patients from the high-risk or low-risk groups. Gene expression profiles may provide insights into biological mechanisms associated with patients at risk for recurrent VTE. Prospective studies are needed to validate these findings. This study includes a total of 218 samples/individuals (in 5 groups; APS, high-risk VTE, moderate-risk VTE, low-risk VTE and healthy-controls). Samples in which the percent of probes present was 15% or less (n=51) were excluded leaving 167 samples. The data for these 167 samples were normalized together. However, this record represents the 132 individual samples in the following groups; high-risk (n=40); moderate-risk (n=33); low-risk (n=34); and healthy controls (n=25). The 35 samples in APS group are represented in GSE48001.

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The plasma miRnome and venous thromboembolism in high-grade glioma: miRNA sequencing of a nested case-control cohort

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