Literature DB >> 31336224

Absolute quantification and analysis of extracellular vesicle lncRNAs from the peripheral blood of patients with lung cancer based on multi-colour fluorescence chip-based digital PCR.

Yanan Bai1, Youlan Qu2, Zhenhua Wu3, Yijiu Ren4, Zule Cheng1, Yunxing Lu1, Jie Hu5, Jiatao Lou6, Jianlong Zhao3, Chang Chen7, Hongju Mao8.   

Abstract

Emerging evidence indicates that extracellular vesicle (EV) long non-coding ribonucleic acids (lncRNAs) in lung cancer may be clinically useful biomarkers for early diagnosis using liquid biopsy. However, the extremely low quantities of EV-lncRNAs in peripheral blood are a major challenge for multi-target detection. In this study, we developed a new multi-colour fluorescence digital PCR EV-lncRNA (miDER) analysis chip, and then demonstrated its ability to quickly and accurately analyse the levels of two target genes and one reference gene from peripheral blood. Under the miDER assay, the limit of detection of the target gene from peripheral blood was 10 copies/μL. Based on multiplex assay, the expression levels of two lung cancer-related genes (SLC9A3-AS1 and PCAT6) in patients with lung cancer (n = 32) and healthy controls (n = 30) showed a significant difference between the two groups (P < 0.001; two-tailed t-test). A receiver operating characteristic (ROC) curve analysis was used to evaluate the discrimination ability of these lncRNAs. The combination of two lncRNAs in the miDER assay yielded a higher area under curve (AUC) value of 0.811 (95% CI = 0.705-0.918). Moreover, to determine the absolute quantitation capacity of the miDER assay, we compared the results to those obtained by quantitative real-time polymerase chain reaction (qPCR), demonstrating that the miDER assay is more sensitive than qPCR. The multiplex assay based on the miDER could provide a new solution for the multi-index combined detection of trace EV-lncRNAs in body fluids and demonstrate the use of EV-lncRNAs as biomarkers for lung tumour biopsy.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Early diagnosis; Extracellular vesicles; Lung cancer; Multi-colour fluorescence; lncRNA

Year:  2019        PMID: 31336224     DOI: 10.1016/j.bios.2019.111523

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  16 in total

1.  A Necroptosis-Related lncRNA Signature Predicts Prognosis and Indicates the Immune Microenvironment in Soft Tissue Sarcomas.

Authors:  Binfeng Liu; Zhongyue Liu; Chengyao Feng; Chao Tu
Journal:  Front Genet       Date:  2022-06-20       Impact factor: 4.772

Review 2.  Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles.

Authors:  Guillermo Bordanaba-Florit; Félix Royo; Sergei G Kruglik; Juan M Falcón-Pérez
Journal:  Nat Protoc       Date:  2021-06-16       Impact factor: 13.491

Review 3.  Emerging methods in biomarker identification for extracellular vesicle-based liquid biopsy.

Authors:  Yaxuan Liang; Brandon M Lehrich; Siyang Zheng; Mengrou Lu
Journal:  J Extracell Vesicles       Date:  2021-05-12

4.  LncRNA PCNAP1 Promotes Hepatoma Cell Proliferation through Targeting miR-340-5p and is Associated with Patient Survival.

Authors:  Miao He; Lingjing Hu; Ping Bai; Tingting Guo; Nan Liu; Fei Feng; Jin Zhang
Journal:  J Oncol       Date:  2021-04-28       Impact factor: 4.375

Review 5.  Noncoding RNAs in Extracellular Fluids as Cancer Biomarkers: The New Frontier of Liquid Biopsies.

Authors:  Barbara Pardini; Alexandru Anton Sabo; Giovanni Birolo; George Adrian Calin
Journal:  Cancers (Basel)       Date:  2019-08-14       Impact factor: 6.639

6.  Exploration of Serum Exosomal LncRNA TBILA and AGAP2-AS1 as Promising Biomarkers for Diagnosis of Non-Small Cell Lung Cancer.

Authors:  Yao Tao; Yuting Tang; Zailin Yang; Futao Wu; Lu Wang; Liyuan Yang; Li Lei; Yipei Jing; Xueke Jiang; Hongjun Jin; Yao Bai; Ling Zhang
Journal:  Int J Biol Sci       Date:  2020-01-01       Impact factor: 6.580

7.  Enhanced expression of queuine tRNA-ribosyltransferase 1 (QTRT1) predicts poor prognosis in lung adenocarcinoma.

Authors:  Qianli Ma; Jie He
Journal:  Ann Transl Med       Date:  2020-12

8.  The Cancer-Testis Long Non-coding RNA PCAT6 Facilitates the Malignant Phenotype of Ovarian Cancer by Sponging miR-143-3p.

Authors:  Xiaofang Tan; Yang Shao; Yue Teng; Siyu Liu; Weijian Li; Lu Xue; Yuepeng Cao; Chongqi Sun; Jinhong Zhang; Jing Han; Xiaoli Wu; Hanzi Xu; Kaipeng Xie
Journal:  Front Cell Dev Biol       Date:  2021-02-04

Review 9.  PCAT6 May Be a Whistler and Checkpoint Target for Precision Therapy in Human Cancers.

Authors:  Feng Jiang; Qiaoyi Lv; Cexun Hu; Zhanghui Li; Haojie Wu; Shujun Gao; Hui Wang; Yangjing Zhao; Qixiang Shao
Journal:  Cancers (Basel)       Date:  2021-12-03       Impact factor: 6.639

10.  Long noncoding RNA SLC9A3‑AS1 increases E2F6 expression by sponging microRNA‑486‑5p and thus facilitates the oncogenesis of nasopharyngeal carcinoma.

Authors:  Jiansheng Li; Dongzhi Li; Xianhua Zhang; Cuijuan Li; Fengjuan Zhu
Journal:  Oncol Rep       Date:  2021-06-24       Impact factor: 3.906

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