Clinical Chemistry, volume 65, issue 7, pages 905-915

Noncoding RNAs Serve as Diagnosis and Prognosis Biomarkers for Hepatocellular Carcinoma

Wang Siqi ¹

Lu Chen ^{2, 3, 4}

Yang Liuqing ¹

Zhang Ti ^{2, 3, 4}

Xi Xiaochen ¹

Zhu Yumin ¹

Cao Jingyi ^{1, 5}

Yin Jianhua ⁶

Ma Longteng ⁶

John Lu Zhi ¹

Tan Chang ^{1, 5}

Wang Dong ¹

Hide authors affiliations Show authors affiliations: 6 affiliations

MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China |

Tianjin's Clinical Research for Cancer, Tianjin, China |

Key Laboratory of Cancer prevention and Therapy, Tianjin, China |

⁴

Tianjin Medical University Cancer Institute and Hospital, Department of Hepatobiliary Cancer, National Clinical Research for Cancer, Tianjin, China |

⁵

Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China |

⁶

Department of Epidemiology, Second Military Medical University, Shanghai, China |

Publication type: Journal Article

Publication date: 2019-07-01

American Association for Clinical Chemistry

Journal: Clinical Chemistry

Quartile SCImago

Quartile WOS

Impact factor: 9.3

ISSN: 00099147, 15308561

DOI: 10.1373/clinchem.2018.301150

Copy DOI

Clinical Biochemistry

Biochemistry (medical)

Abstract

BACKGROUND

Reliable noninvasive biomarkers for hepatocellular carcinoma (HCC) diagnosis and prognosis are urgently needed. We explored the potential of not only microRNAs (miRNAs) but other types of noncoding RNAs (ncRNAs) as HCC biomarkers.

METHODS

Peripheral blood samples were collected from 77 individuals; among them, 57 plasma cell-free RNA transcriptomes and 20 exosomal RNA transcriptomes were profiled. Significantly upregulated ncRNAs and published potential HCC biomarkers were validated with reverse transcription (RT)-qPCR in an independent validation cohort (60–150 samples). We particularly investigated the diagnosis and prognosis performance and biological function for 1 ncRNA biomarker, RN7SL1, and its S fragment.

RESULTS

We identified certain circulating ncRNAs escaping from RNase degradation, possibly through binding with RNA-binding proteins: 899 ncRNAs were highly upregulated in HCC patients. Among them, 337 genes were fragmented long noncoding RNAs, 252 genes were small nucleolar RNAs, and 134 genes were piwi-interacting RNAs. Forty-eight candidates were selected and validated with RT-qPCR, of which, 16 ncRNAs were verified to be significantly upregulated in HCC, including RN7SL1, SNHG1, ZFAS1, and LINC01359. Particularly, the abundance of RN7SL1 S fragment discriminated HCC samples from negative controls (area under the curve, 0.87; 95% CI, 0.817–0.920). HCC patients with higher concentrations of RN7SL1 S fragment had lower survival rates. Furthermore, RN7SL1 S fragment alone promoted cancer cell proliferation and clonogenic growth.

CONCLUSIONS

Our results show that various ncRNA species, not only miRNAs, identified in the small RNA sequencing of plasma are also able to serve as noninvasive biomarkers. Particularly, we identified a domain of srpRNA RN7SL1 with reliable clinical performance for HCC diagnosis and prognosis.

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Citations by journals

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International Journal of Molecular Sciences	International Journal of Molecular Sciences, 4, 7.27% International Journal of Molecular Sciences 4 publications, 7.27%
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Pharmacological Research	Pharmacological Research, 2, 3.64% Pharmacological Research 2 publications, 3.64%
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Briefings in Bioinformatics	Briefings in Bioinformatics, 2, 3.64% Briefings in Bioinformatics 2 publications, 3.64%
Journal of Cancer Research and Clinical Oncology	Journal of Cancer Research and Clinical Oncology, 1, 1.82% Journal of Cancer Research and Clinical Oncology 1 publication, 1.82%
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Acta Biochimica et Biophysica Sinica	Acta Biochimica et Biophysica Sinica, 1, 1.82% Acta Biochimica et Biophysica Sinica 1 publication, 1.82%
Biology	Biology, 1, 1.82% Biology 1 publication, 1.82%
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BMC Bioinformatics	BMC Bioinformatics, 1, 1.82% BMC Bioinformatics 1 publication, 1.82%
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Molecular Therapy - Nucleic Acids	Molecular Therapy - Nucleic Acids, 1, 1.82% Molecular Therapy - Nucleic Acids 1 publication, 1.82%
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Citations by publishers

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Multidisciplinary Digital Publishing Institute (MDPI)	Multidisciplinary Digital Publishing Institute (MDPI), 13, 23.64% Multidisciplinary Digital Publishing Institute (MDPI) 13 publications, 23.64%
Elsevier	Elsevier, 8, 14.55% Elsevier 8 publications, 14.55%
Springer Nature	Springer Nature, 7, 12.73% Springer Nature 7 publications, 12.73%
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Oxford University Press	Oxford University Press, 3, 5.45% Oxford University Press 3 publications, 5.45%
Wiley	Wiley, 2, 3.64% Wiley 2 publications, 3.64%
Taylor & Francis	Taylor & Francis, 2, 3.64% Taylor & Francis 2 publications, 3.64%
Future Medicine	Future Medicine, 1, 1.82% Future Medicine 1 publication, 1.82%
Impact Journals	Impact Journals, 1, 1.82% Impact Journals 1 publication, 1.82%
Mary Ann Liebert	Mary Ann Liebert, 1, 1.82% Mary Ann Liebert 1 publication, 1.82%
PeerJ	PeerJ, 1, 1.82% PeerJ 1 publication, 1.82%
Baishideng Publishing Group	Baishideng Publishing Group, 1, 1.82% Baishideng Publishing Group 1 publication, 1.82%
Neoplasia Press	Neoplasia Press, 1, 1.82% Neoplasia Press 1 publication, 1.82%
Hindawi Limited	Hindawi Limited, 1, 1.82% Hindawi Limited 1 publication, 1.82%
eLife Sciences Publications	eLife Sciences Publications, 1, 1.82% eLife Sciences Publications 1 publication, 1.82%
Shi Jie Wei Chang Bing Xue Za Zhi She	Shi Jie Wei Chang Bing Xue Za Zhi She, 1, 1.82% Shi Jie Wei Chang Bing Xue Za Zhi She 1 publication, 1.82%
Wolters Kluwer Health	Wolters Kluwer Health, 1, 1.82% Wolters Kluwer Health 1 publication, 1.82%
Bentham Science	Bentham Science, 1, 1.82% Bentham Science 1 publication, 1.82%
American Association for the Advancement of Science (AAAS)	American Association for the Advancement of Science (AAAS), 1, 1.82% American Association for the Advancement of Science (AAAS) 1 publication, 1.82%
	2 4 6 8 10 12 14

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Cao J. et al. Noncoding RNAs Serve as Diagnosis and Prognosis Biomarkers for Hepatocellular Carcinoma // Clinical Chemistry. 2019. Vol. 65. No. 7. pp. 905-915.

GOST all authors (up to 50) Copy

Cao J., Xi X., Wang S., Zhu Y., Yang L., Ma L., Yin J., Zhang T., John Lu Z., Tan C., Lu C., Wang D. Noncoding RNAs Serve as Diagnosis and Prognosis Biomarkers for Hepatocellular Carcinoma // Clinical Chemistry. 2019. Vol. 65. No. 7. pp. 905-915.

RIS |

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RIS Copy

TY - JOUR

DO - 10.1373/clinchem.2018.301150

UR - https://doi.org/10.1373%2Fclinchem.2018.301150

TI - Noncoding RNAs Serve as Diagnosis and Prognosis Biomarkers for Hepatocellular Carcinoma

T2 - Clinical Chemistry

AU - Cao, Jingyi

AU - Xi, Xiaochen

AU - Wang, Siqi

AU - Zhu, Yumin

AU - Yang, Liuqing

AU - Ma, Longteng

AU - Yin, Jianhua

AU - Zhang, Ti

AU - John Lu, Zhi

AU - Tan, Chang

AU - Lu, Chen

AU - Wang, Dong

PY - 2019

DA - 2019/07/01 00:00:00

PB - American Association for Clinical Chemistry

SP - 905-915

IS - 7

VL - 65

SN - 0009-9147

SN - 1530-8561

ER -

BibTex |

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BibTex Copy

@article{2019_Cao,

author = {Jingyi Cao and Xiaochen Xi and Siqi Wang and Yumin Zhu and Liuqing Yang and Longteng Ma and Jianhua Yin and Ti Zhang and Zhi John Lu and Chang Tan and Chen Lu and Dong Wang},

title = {Noncoding RNAs Serve as Diagnosis and Prognosis Biomarkers for Hepatocellular Carcinoma},

journal = {Clinical Chemistry},

year = {2019},

volume = {65},

publisher = {American Association for Clinical Chemistry},

month = {jul},

url = {https://doi.org/10.1373%2Fclinchem.2018.301150},

number = {7},

pages = {905--915},

doi = {10.1373/clinchem.2018.301150}

}

MLA

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MLA Copy

Cao, Jingyi, et al. “Noncoding RNAs Serve as Diagnosis and Prognosis Biomarkers for Hepatocellular Carcinoma.” Clinical Chemistry, vol. 65, no. 7, Jul. 2019, pp. 905-915. https://doi.org/10.1373%2Fclinchem.2018.301150.

Found error?

Publisher

American Association for Clinical Chemistry

Journal

Clinical Chemistry

Quartile SCImago

Quartile WOS

Impact factor

9.3

ISSN

00099147 (Print)
15308561 (Electronic)