Prediction of the postoperative prognosis in patients with non-muscle-invasive bladder cancer based on preoperative serum surface-enhanced Raman spectroscopy

Author:

Zhu Ruochen1,Jiang Yuanjun2,Zhou Zheng3,Zhu Shanshan4,Zhang Zhuoyu1ORCID,Chen Zhilin1,Chen Shuo15ORCID,Zhang Zhe2

Affiliation:

1. Northeastern University

2. China Medical University

3. Liaoning Institute of Science and Technology

4. Ningbo University

5. Key Laboratory of Intelligent Computing in Medical Image

Abstract

Non-muscle-invasive bladder cancer (NMIBC) is a common urinary tumor and has a high recurrence rate due to improper or inadequate conservative treatment. The early and accurate prediction of its recurrence can be helpful to implement timely and rational treatment. In this study, we explored a preoperative serum surface-enhanced Raman spectroscopy based prognostic protocol to predict the postoperative prognosis for NMIBC patients at the time even before treatment. The biochemical analysis results suggested that biomolecules related to DNA/RNA, protein substances, trehalose and collagen are expected to be potential prognostic markers, which further compared with several routine clinically used immunohistochemistry expressions with prognostic values. In addition, high prognostic accuracies of 87.01% and 89.47% were achieved by using the proposed prognostic models to predict the future postoperative recurrence and recurrent type, respectively. Therefore, we believe that the proposed method has great potential in the early and accurate prediction of postoperative prognosis in patients with NMIBC, which is with important clinical significance to guide the treatment and further improve the recurrence rate and survival time.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Program for the Introduction of High-End Foreign Experts

K. C. Wong Magna Fund in Ningbo University

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

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