Evidence map›Paper›PMID 39414645›Full record

ArticleAnalytical and bioanalytical chemistry2024

Urine-based SERS and multivariate statistical analysis for identification of non-muscle-invasive bladder cancer and muscle-invasive bladder cancer.

Qingshan Zhong, Lei Shao, Yudong Yao, Shuo Chen, Xiuyi Lv, Zhihan Liu, Shanshan Zhu, Zejun Yan

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Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qingshan ZhongResearch Institute of Medical and Biological Engineering, Ningbo University, Ningbo, 315211, China.
Lei ShaoResearch Institute of Medical and Biological Engineering, Ningbo University, Ningbo, 315211, China.
Yudong YaoResearch Institute of Medical and Biological Engineering, Ningbo University, Ningbo, 315211, China.
Shuo ChenCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
Xiuyi LvDepartment of Urology, the First Affiliated Hospital of Ningbo University, Ningbo, 315211, China.
Zhihan LiuHealth Science Center, Ningbo University, Ningbo, 315211, China.
Shanshan ZhuResearch Institute of Medical and Biological Engineering, Ningbo University, Ningbo, 315211, China. zhushanshan@nbu.edu.cn.
Zejun YanDepartment of Urology, the First Affiliated Hospital of Ningbo University, Ningbo, 315211, China. fyyyanzejun@nbu.edu.cn.

Funding

Key Program of Medical and Health Technology Plan of Zhejiang Province WKJ-ZJ-2343Zhejiang Provincial Natural Science Foundation of China LQ23H180004
6 · The paper itself

Abstract

Bladder cancer (BC) is an epidemiological urologic malignancy that continues to increase each year. Early diagnosis and prognosis monitoring is always significant in clinical practice, especially in distinguishing non-muscle-invasive bladder cancer (NMIBC) from muscle-invasive bladder cancer (MIBC), due to the various depths of tumor invasion related to different therapeutic schedules and recurrence rates. Common diagnostic approaches are too invasive or generally inefficient in accuracy and specificity. In this work, a totally non-invasive and cost-effective method is established by investigating urine samples using surface-enhanced Raman spectroscopy (SERS) and multivariate statistical analysis. The comparison of urine SERS spectra shows the intensities of characteristic peaks for DNA/RNA, hypoxanthine, albumin, D-( +)-galactosamine, fatty acids, and some amino acids are distinguishable in BC occurrence and invasion progression. A PLS-LDA-based two-step binary classification scheme is performed on urine SERS spectra and the diagnostic accuracies were 97.7% and 96.3% for healthy individuals versus BC patients and NMIBC versus MIBC patients, respectively. Moreover, the impact of urine SERS spectral lengths in reaching high-precision recognition of BC is investigated. The results show that the Raman peaks at 803, 893, 1139, 1375, and 1466 cm

Indexed as

Spectrum Analysis, RamanUrinary Bladder NeoplasmsAgedFemaleHumansMaleMiddle AgedMultivariate AnalysisNeoplasm InvasivenessNon-Muscle Invasive Bladder NeoplasmsMuscle-Invasive bladder cancerNon-Muscle-Invasive bladder cancerPLS-LDASurface-Enhanced Raman spectroscopyUrine

Identifiers

PMID39414645

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.