Identification of Circulating Serum Multi-MicroRNA Signatures in Human DLBCL Models

小RNA 淋巴瘤 弥漫性大B细胞淋巴瘤 癌症研究 数字聚合酶链反应 生物 医学 肿瘤科 免疫学 基因 聚合酶链反应 遗传学
作者
Afshin Beheshti,Kristen E. Stevenson,Charles Vanderburg,Dashnamoorthy Ravi,J. Tyson McDonald,Amanda L. Christie,Kay Shigemori,Hallie Jester,David M. Weinstock,Andrew M. Evens
出处
期刊:Scientific Reports [Springer Nature]
卷期号:9 (1) 被引量:23
标识
DOI:10.1038/s41598-019-52985-x
摘要

Abstract There remains a need to identify new sensitive diagnostic and predictive blood-based platforms in lymphoma. We previously discovered a novel circulating microRNA (miRNA) signature in a Smurf2-deficient mouse model that spontaneously develops diffuse large B-cell lymphoma (DLBCL). Herein, we investigated this 10-miRNA signature (miR-15a, let-7c, let-7b, miR-27a, miR-10b, miR-18a, miR-497, miR-130a, miR24, and miR-155) in human lymphoma cell lines, mice engrafted with patient-derived xenografts (PDXs), and DLBCL patient serum samples leveraging systems biology analyses and droplet digital PCR (ddPCR) technology. Overall, 90% of the miRNAs were enriched in PDX DLBCL models and human lymphoma cell lines. Circulating miRNAs from the serum of 86 DLBCL patients were significantly increased compared with healthy controls and had similar patterns to the murine models. Strikingly, miRNAs were identified up to 27-fold higher levels in the serum of PDX-bearing mice and human patients compared with lymphoma cell lysates, suggesting a concentration of these factors over time within sera. Using cut-points from recursive partitioning analysis, we derived a 5-miRNA signature (let-7b, let-7c, miR-18a, miR-24, and miR-15a) with a classification rate of 91% for serum from patients with DLBCL versus normal controls. In addition, higher levels of circulating let-7b miRNA were associated with more advanced stage disease (i.e., III-IV vs. I-II) in DLBCL patients and higher levels of miR-27a and miR-24 were associated with MYC rearrangement. Taken together, circulating multi-miRNAs were readily detectable in pre-clinical cell line and human lymphoma models as well as in DLBCL patients where they appeared to distinguish clinico-pathologic subtypes and disease features.
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