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
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A total of 343 circRNAs are differentially expressed between gastric cancer patients’ plasma and healthy controls.
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Hsa_circ_0001017 and hsa_circ_0061276 are downregulated in gastric cancer tissues.
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The RT-ddPCR is a potent method for simultaneous detection of multiple circRNAs in plasma.
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Hsa_circ_0001017 and hsa_circ_0061276 are potential biomarkers for gastric cancer.
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References
Guo J, Miao Y, Xiao B, Huan R, Jiang Z, Meng D, Wang Y (2009) Differential expression of microRNA species in human gastric cancer versus non-tumorous tissues. J Gastroenterol Hepatol 24:652–657
Li T, Mo X, Fu L, Xiao B, Guo J (2016) Molecular mechanisms of long noncoding RNAs on gastric cancer. Oncotarget 7:8601–8612
Allemani C, Weir HK, Carreira H, Harewood R, Spika D, Wang XS, Bannon F, Ahn JV, Johnson CJ, Bonaventure A et al (2015) Global surveillance of cancer survival 1995-2009: analysis of individual data for 25, 676, 887 patients from 279 population-based registries in 67 countries (CONCORD-2). Lancet 385:977–1010
Hashad D, Elbanna A, Ibrahim A, Khedr G (2016) Evaluation of the role of circulating long non-coding RNA H19 as a promising novel biomarker in plasma of patients with gastric cancer. J Clin Lab Anal 30:1100–1105
Li Q, Shao Y, Zhang X, Zheng T, Miao M, Wang B, Ye G, Xiao B, Guo J (2015) Plasma long noncoding RNA protected by exosomes as a potential stable biomarker for gastric cancer. Tumour Biol 36:2007–2012
Cui L, Lou Y, Zhang X, Zhou H, Deng H, Song H, Yu X, Xiao B, Wang W, Guo J (2011) Detection of circulating tumor cells in peripheral blood from patients with gastric cancer using piRNAs as markers. Clin Biochem 44:1050–1057
Zhou H, Xiao B, Zhou F, Deng H, Zhang X, Lou Y, Gong Z, Du C, Guo J (2012) MiR-421 is a functional marker of circulating tumor cells in gastric cancer patients. Biomarkers 17:104–110
Schneider J, Schulze G (2003) Comparison of tumor M2-pyruvate kinase (tumor M2-PK), carcinoembryonic antigen (CEA), carbohydrate antigens CA 19-9 and CA 72-4 in the diagnosis of gastrointestinal cancer. Anticancer Res 23:5089–5093
Carpelan-Holmstrom M, Louhimo J, Stenman UH, Alfthan H, Haglund C (2002) CEA, CA 19-9 and CA 72-4 improve the diagnostic accuracy in gastrointestinal cancers. Anticancer Res 22:2311–2316
Sykes PJ, Neoh SH, Brisco MJ, Hughes E, Condon J, Morley AA (1992) Quantitation of targets for PCR by use of limiting dilution. BioTechniques 13:444–449
Riva F, Bidard FC, Houy A, Saliou A, Madic J, Rampanou A, Hego C, Milder M, Cottu P, Sablin MP et al (2017) Patient-specific circulating tumor DNA detection during neoadjuvant chemotherapy in triple-negative breast cancer. Clin Chem 6:691–699
Guttery DS, Page K, Hills A, Woodley L, Marchese SD, Rghebi B, Hastings RK, Luo J, Pringle JH, Stebbing J et al (2015) Noninvasive detection of activating estrogen receptor 1 (ESR1) mutations in estrogen receptor-positive metastatic breast cancer. Clin Chem 61:974–982
Shen F, Du W, Kreutz JE, Fok A, Ismagilov RF (2010) Digital PCR on a SlipChip. Lab Chip 10:2666–2672
Shen F, Sun B, Kreutz JE, Davydova EK, Du W, Reddy PL, Joseph LJ, Ismagilov RF (2011) Multiplexed quantification of nucleic acids with large dynamic range using multivolume digital RT-PCR on a rotational SlipChip tested with HIV and hepatitis C viral load. J Am Chem Soc 133:17705–17712
Yao T, Chen Q, Fu L, Guo J (2017) Circular RNAs: biogenesis, properties, roles, and their relationships with liver diseases. Hepatol Res 47:497–504
Li Y, Zheng Q, Bao C, Li S, Guo W, Zhao J, Chen D, Gu J, He X, Huang S (2015) Circular RNA is enriched and stable in exosomes: a promising biomarker for cancer diagnosis. Cell Res 25:981–984
Li P, Chen S, Chen H, Mo X, Li T, Shao Y, Xiao B, Guo J (2015) Using circular RNA as a novel type of biomarker in the screening of gastric cancer. Clin Chim Acta 444:132–136
Li F, Zhang L, Li W, Deng J, Zheng J, An M, Lu J, Zhou Y (2015) Circular RNA ITCH has inhibitory effect on ESCC by suppressing the Wnt/beta-catenin pathway. Oncotarget 6:6001–6013
Yang W, Du WW, Li X, Yee AJ, Yang BB (2016) Foxo3 activity promoted by non-coding effects of circular RNA and Foxo3 pseudogene in the inhibition of tumor growth and angiogenesis. Oncogene 35:3919–3931
Shao Y, Ye M, Jiang X, Sun W, Ding X, Liu Z, Ye G, Zhang X, Xiao B, Guo J (2014) Gastric juice long noncoding RNA used as a tumor marker for screening gastric cancer. Cancer 120:3320–3328
Li P, Chen H, Chen S, Mo X, Li T, Xiao B, Yu R, Guo J (2017) Circular RNA 0000096 affects cell growth and migration in gastric cancer. Br J Cancer 116:626–633
Janku F, Huang HJ, Fujii T, Shelton DN, Madwani K, Fu S, Tsimberidou AM, Piha-Paul SA, Wheler JJ, Zinner RG et al (2017) Multiplex KRASG12/G13 mutation testing of unamplified cell-free DNA from the plasma of patients with advanced cancers using droplet digital polymerase chain reaction. Ann Oncol 28:642–650
Yu D, Li HX, Liu Y, Ying ZW, Guo JJ, Cao CY, Wang J, Li YF, Yang HR (2017) The reference intervals for serum C-terminal agrin fragment in healthy individuals and as a biomarker for renal function in kidney transplant recipients. J Clin Lab Anal 31:e22059
Klapkova E, Fortova M, Prusa R, Moravcova L, Kotaska K (2016) Determination of urine albumin by new simple high-performance liquid chromatography method. J Clin Lab Anal 30:1226–1231
Ay E, Marakoğlu K, Kizmaz M, Ünlü A (2016) Evaluation of Netrin-1 levels and albuminuria in patients with diabetes. J Clin Lab Anal 30:972–977
Capello M, Bantis LE, Scelo G, Zhao Y, Li P, Dhillon DS, Patel NJ, Kundnani DL, Wang H, Abbruzzese JL et al (2017) Sequential validation of blood-based protein biomarker candidates for early-stage pancreatic cancer. J Natl Cancer Inst 109. https://doi.org/10.1093/jnci/djw266
Min QH, Chen XM, Zou YQ, Zhang J, Li J, Wang Y, Li SQ, Gao QF, Sun F, Liu J et al (2017) Differential expression of urinary exosomal microRNAs in IgA nephropathy. J Clin Lab Anal. https://doi.org/10.1002/jcla.22226
Raitoharju E, Seppala I, Lyytikainen LP, Viikari J, Ala-Korpela M, Soininen P, Kangas AJ, Waldenberger M, Klopp N, Illig T et al (2016) Blood hsa-miR-122-5p and hsa-miR-885-5p levels associate with fatty liver and related lipoprotein metabolism—the young Finns study. Sci Rep 6:38262
Shang X, Li G, Liu H, Li T, Liu J, Zhao Q, Wang C (2016) Comprehensive circular RNA profiling reveals that hsa_circ_0005075, a new circular RNA biomarker, is involved in hepatocellular carcinoma development. Medicine (Baltimore) 95:e3811
Song X, Zhang N, Han P, Moon BS, Lai RK, Wang K, Lu W (2016) Circular RNA profile in gliomas revealed by identification tool UROBORUS. Nucleic Acids Res 44:e87
Zhao ZJ, Shen J (2017) Circular RNA participates in the carcinogenesis and the malignant behavior of cancer. RNA Biol 14:514–521
Sillence KA, Roberts LA, Hollands HJ, Thompson HP, Kiernan M, Madgett TE, Welch CR, Avent ND (2015) Fetal sex and RHD genotyping with digital PCR demonstrates greater sensitivity than real-time PCR. Clin Chem 61:1399–1407
Huggett JF, Cowen S, Foy CA (2015) Considerations for digital PCR as an accurate molecular diagnostic tool. Clin Chem 61:79–88
Yang Y, Shao Y, Zhu M, Li Q, Yang F, Lu X, Xu C, Xiao B, Sun Y, Guo J (2016) Using gastric juice lncRNA-ABHD11-AS1 as a novel type of biomarker in the screening of gastric cancer. Tumour Biol 37:1183–1188
Acknowledgments
This study was supported by grants from the Applied Research Project on Nonprofit Technology of Zhejiang Province (no. 2016C33177), the Scientific Innovation Team Project of Ningbo (no. 2017C110019), National Natural Science Foundation of China (no. 81772279), and the K.C. Wong Magna Fund in Ningbo University.
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Li, T., Shao, Y., Fu, L. et al. Plasma circular RNA profiling of patients with gastric cancer and their droplet digital RT-PCR detection. J Mol Med 96, 85–96 (2018). https://doi.org/10.1007/s00109-017-1600-y
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DOI: https://doi.org/10.1007/s00109-017-1600-y