Literature DB >> 29098316

Plasma circular RNA profiling of patients with gastric cancer and their droplet digital RT-PCR detection.

Tianwen Li1, Yongfu Shao2, Liyun Fu3, Yi Xie1, Linwen Zhu1, Weiliang Sun4, Rui Yu1, Bingxiu Xiao1, Junming Guo5.   

Abstract

To observe the diagnostic values of circular RNAs (circRNAs), their expression profiles between gastric cancer patients' plasma and healthy controls were first assessed by circRNA microarray. Then, circRNA levels were measured by reverse transcription quantitative polymerase chain reaction (RT-qPCR) and RT-droplet digital PCR (RT-ddPCR), respectively. A total of 343 differentially expressed circRNAs were found. The top 10 elevated circRNAs in patients were hsa_circ_0088300, hsa_circ_0075825, hsa_circ_0019172, hsa_circ_0000220, hsa_circ_0035277, hsa_circ_0000301, hsa_circ_0000189, hsa_circ_0090080, hsa_circ_0001888, and hsa_circ_0001874. The top 10 reduced circRNAs were hsa_circ_0004771, hsa_circ_0001190, hsa_circ_0061276, hsa_circ_0092337, hsa_circ_0058495, hsa_circ_0061274, hsa_circ_0075829, hsa_circ_0080845, hsa_circ_0001006, and hsa_circ_0003764. In cancer and dysplasia tissues, hsa_circ_0001017 and hsa_circ_0061276 were downregulated. Their levels were significantly associated with distal metastasis. The area under receiver operating characteristic curve in combinative use was 0.966 with 95.5% sensitivity and 95.7% specificity. Patients with low plasma hsa_circ_0001017 or hsa_circ_0061276 had a much shorter overall survival than those with high levels. Patients whose plasma hsa_circ_0001017 or hsa_circ_0061276 levels recovered to normal after operation had a longer disease-free survival. Finally, the in vitro model indicated gastric cancer cells secreting circRNAs into plasma. In conclusion, RT-ddPCR is a potent non-invasive and absolute quantification method for simultaneous detection of multiple circRNAs. Hsa_circ_0001017 and hsa_circ_0061276 are new potential biomarkers for gastric cancer. KEY MESSAGE: A total of 343 circRNAs are differentially expressed between gastric cancer patients' plasma and healthy controls. Hsa_circ_0001017 and hsa_circ_0061276 are downregulated in gastric cancer tissues. The RT-ddPCR is a potent method for simultaneous detection of multiple circRNAs in plasma. Hsa_circ_0001017 and hsa_circ_0061276 are potential biomarkers for gastric cancer.

Entities:  

Keywords:  Biomarker; Digital polymerase chain reaction; Gastric cancer; Non-invasive testing

Mesh:

Substances:

Year:  2017        PMID: 29098316     DOI: 10.1007/s00109-017-1600-y

Source DB:  PubMed          Journal:  J Mol Med (Berl)        ISSN: 0946-2716            Impact factor:   4.599


  34 in total

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3.  Circular RNA is enriched and stable in exosomes: a promising biomarker for cancer diagnosis.

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4.  Using circular RNA as a novel type of biomarker in the screening of gastric cancer.

Authors:  Peifei Li; Shengcan Chen; Huilin Chen; Xiaoyan Mo; Tianwen Li; Yongfu Shao; Bingxiu Xiao; Junming Guo
Journal:  Clin Chim Acta       Date:  2015-02-14       Impact factor: 3.786

5.  Fetal Sex and RHD Genotyping with Digital PCR Demonstrates Greater Sensitivity than Real-time PCR.

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Journal:  Lancet       Date:  2014-11-26       Impact factor: 79.321

7.  Differential expression of microRNA species in human gastric cancer versus non-tumorous tissues.

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8.  Evaluation of Netrin-1 Levels and Albuminuria in Patients With Diabetes.

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9.  Blood hsa-miR-122-5p and hsa-miR-885-5p levels associate with fatty liver and related lipoprotein metabolism-The Young Finns Study.

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Journal:  Sci Rep       Date:  2016-12-05       Impact factor: 4.379

10.  Comprehensive Circular RNA Profiling Reveals That hsa_circ_0005075, a New Circular RNA Biomarker, Is Involved in Hepatocellular Crcinoma Development.

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  78 in total

1.  Circular RNA 0068669 as a new biomarker for hepatocellular carcinoma metastasis.

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Journal:  J Clin Lab Anal       Date:  2018-05-21       Impact factor: 2.352

Review 2.  Transfer RNA-derived fragments and tRNA halves: biogenesis, biological functions and their roles in diseases.

Authors:  Yijing Shen; Xiuchong Yu; Linwen Zhu; Tianwen Li; Zhilong Yan; Junming Guo
Journal:  J Mol Med (Berl)       Date:  2018-09-19       Impact factor: 4.599

Review 3.  The emerging role of circular RNAs in gastric cancer.

Authors:  Peina Shi; Jiangnan Wan; Haojun Song; Xiaoyun Ding
Journal:  Am J Cancer Res       Date:  2018-10-01       Impact factor: 6.166

Review 4.  The expanding regulatory mechanisms and cellular functions of circular RNAs.

Authors:  Ling-Ling Chen
Journal:  Nat Rev Mol Cell Biol       Date:  2020-05-04       Impact factor: 94.444

5.  Global expression profiling of metabolic pathway-related lncRNAs in human gastric cancer and the identification of RP11-555H23.1 as a new diagnostic biomarker.

Authors:  Xiaoyan Mo; Yuanyuan Wu; Li Chen; Ming Zhai; Zhengdong Gao; Kainan Hu; Junming Guo
Journal:  J Clin Lab Anal       Date:  2018-10-15       Impact factor: 2.352

Review 6.  Circular RNAs as important players in human gastric cancer.

Authors:  F Khanipouyani; H Akrami; M R Fattahi
Journal:  Clin Transl Oncol       Date:  2020-06-25       Impact factor: 3.405

7.  Hsa_circ_101555 functions as a competing endogenous RNA of miR-597-5p to promote colorectal cancer progression.

Authors:  Zhenlong Chen; Rui Ren; Daiwei Wan; Yilin Wang; Xiaofeng Xue; Min Jiang; Jiaqing Shen; Ye Han; Fei Liu; Jianming Shi; Yuting Kuang; Wei Li; Qiaoming Zhi
Journal:  Oncogene       Date:  2019-07-12       Impact factor: 9.867

8.  Circular RNA profile of parathyroid neoplasms: analysis of co-expression networks of circular RNAs and mRNAs.

Authors:  Ya Hu; Xiang Zhang; Ming Cui; Mengyi Wang; Zhe Su; Quan Liao; Yupei Zhao
Journal:  RNA Biol       Date:  2019-06-18       Impact factor: 4.652

Review 9.  The progress of circular RNAs in various tumors.

Authors:  Dandan Wang; Sujin Yang; Hui Wang; Jinyan Wang; Qian Zhang; Siying Zhou; Yunjie He; Heda Zhang; Fei Deng; Hanzi Xu; Shanliang Zhong; Li Fu; Jinhai Tang
Journal:  Am J Transl Res       Date:  2018-06-15       Impact factor: 4.060

Review 10.  Circular RNAs and complex diseases: from experimental results to computational models.

Authors:  Chun-Chun Wang; Chen-Di Han; Qi Zhao; Xing Chen
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

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