Optimal subset of feature miRNAs consisting of 7 miRNAs that can serve as a novel diagnostic and prognostic predictor for the progression of cervical cancer

Shanshan Qin; Yingchun Gao; Yijun Yang; Juanpeng Yu; Fei Meng; Ting Zhang; Can Shi

doi:10.18632/oncotarget.23894

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Withdrawal Notice

This paper was originally published in Oncotarget Advance Online Publications on 01/02/2018.
In compliance with Oncotarget's withdrawal policy, the paper was withdrawn in its entirety. It will not appear in Oncotarget internal or any external indexes or archives.

Research Papers:

Optimal subset of feature miRNAs consisting of 7 miRNAs that can serve as a novel diagnostic and prognostic predictor for the progression of cervical cancer

Shanshan Qin _, Yingchun Gao, Yijun Yang, Juanpeng Yu, Fei Meng, Ting Zhang and Can Shi

Shanshan Qin1, Yingchun Gao1, Yijun Yang1, Juanpeng Yu1, Fei Meng1, Ting Zhang1 and Can Shi1

1Department of Obstetrics and Gynecology, Huai'an First People’s Hospital, Nanjing Medical University, Huai'an, Jiangsu 223300, P.R. China

Correspondence to:

Can Shi, email: [email protected]

Keywords: cervical cancer; biomarker; miRNA; prognosis; progression

Received: September 07, 2017 Accepted: November 13, 2017 Epub: January 02, 2018

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Research Papers:

Optimal subset of feature miRNAs consisting of 7 miRNAs that can serve as a novel diagnostic and prognostic predictor for the progression of cervical cancer