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血清和组织中的微小RNA可以区分犬脾脏血管肉瘤与其他脾脏肿块。

MicroRNAs in serum and tissue can differentiate splenic hemangiosarcoma from other splenic masses in dogs.

作者信息

Ludwig Latasha, Treleaven Heather, Khachadoorian Arlene, Degasperi Brigitte, Walter Ingrid, Stuart Deirdre, Foster Robert A, Wood Robert Darren, Ali R Ayesha, Wood Geoffrey A

机构信息

University of Guelph, Guelph, ON, Canada.

University of Veterinary Medicine, Vienna, Austria.

出版信息

Vet Pathol. 2025 Feb 19;62(5):3009858251317466. doi: 10.1177/03009858251317466.

Abstract

Splenic masses are common in dogs and vary dramatically in their clinical behavior. Clinically, and even with histology, it can be challenging to differentiate between benign and malignant splenic masses. Hemangiosarcoma (HSA), the most common malignancy of the spleen, is a very aggressive tumor with a poor prognosis. We hypothesize that microRNAs (miRNAs) in mass tissue and serum can differentiate between HSA and other splenic masses. Fifty-nine miRNAs were investigated by reverse-transcription followed by real-time quantitative polymerase chain reaction (RT-qPCR) in serum and/or tissue from dogs with HSAs (serum = 24 and tissue = 17; postsplenectomy serum = 11), lymphomas (serum = 8 and tissue = 11), nonangiomatous nonlymphomatous sarcomas (serum = 6 and tissue = 10), histiocytic sarcomas (tissue = 4), benign splenic masses (myelolipomas, nodular hyperplasia, and hematomas; total serum = 21 and total tissue = 35), and normal dogs (serum = 14 and tissue = 7). Numerous miRNAs were differentially expressed in serum and tissue of HSA cases compared to those with other splenic masses or normal spleens. In serum, our 5-miRNA model (miR-135a-5p, miR-10a, miR-450b, miR-152-3p, and miR-126-5p) accurately classified 100% (24/24) of dogs with HSA from normal dogs and those with a benign splenic mass (recall = 1 for HSA). The overall accuracy of the model was 86%. In HSA and benign splenic mass tissues, our 3-miRNA model (miR-126-5p, miR-502-3p, and miR-452-5p) accurately classified 96% of the cases. This study demonstrates the utility of miRNA models in serum and tissue for screening and diagnosis of HSA in dogs. Future studies include the evaluation of prospective and prediagnosis serum samples.

摘要

脾脏肿块在犬类中很常见,其临床行为差异很大。临床上,即使结合组织学检查,区分良性和恶性脾脏肿块也具有挑战性。血管肉瘤(HSA)是脾脏最常见的恶性肿瘤,是一种侵袭性很强的肿瘤,预后很差。我们假设肿块组织和血清中的微小RNA(miRNA)可以区分HSA和其他脾脏肿块。通过逆转录随后进行实时定量聚合酶链反应(RT-qPCR),对患有HSA的犬(血清=24例,组织=17例;脾切除术后血清=11例)、淋巴瘤(血清=8例,组织=11例)、非血管瘤性非淋巴瘤性肉瘤(血清=6例,组织=10例)、组织细胞肉瘤(组织=4例)、良性脾脏肿块(髓脂肪瘤、结节性增生和血肿;血清共21例,组织共35例)以及正常犬(血清=14例,组织=7例)的血清和/或组织中的59种miRNA进行了研究。与其他脾脏肿块或正常脾脏相比,HSA病例的血清和组织中有许多miRNA表达存在差异。在血清中,我们的5-miRNA模型(miR-135a-5p、miR-10a、miR-450b、miR-152-3p和miR-126-5p)将100%(24/24)的HSA犬与正常犬和良性脾脏肿块犬准确区分开来(HSA的召回率=1)。该模型的总体准确率为86%。在HSA和良性脾脏肿块组织中,我们的3-miRNA模型(miR-126-5p、miR-502-3p和miR-452-5p)准确区分了96%的病例。本研究证明了miRNA模型在血清和组织中对犬HSA进行筛查和诊断的实用性。未来的研究包括对前瞻性和诊断前血清样本的评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fd3/12314205/46dd55febaa4/10.1177_03009858251317466-fig1.jpg

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