Detecting urine metabolites of bladder cancer by surface-enhanced Raman spectroscopy

Hu, Dayu; Xu, Xiaosong; Zhao, Zeyin; Li, Chang-Qi; Tian, Ye; Liu, Qiang; Shao, Bo; Chen, Shuo; Zhao, Yue; Li, Ling; Bi, Huan; Chen, Ang; Fu, Cheng; Cui, Xiaoyu; Zeng, Yu

doi:10.1016/j.saa.2020.119108

Cited by 32 publications

(30 citation statements)

References 34 publications

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“…Hu et al. [ 138 ] used SERS technology to detect bladder cancer (BCa) from urine containing a variety of metabolites and predict tumor grade. For highly malignant tumors, SERS' total diagnostic sensitivity and specificity were 100% and 98.85%, respectively.…”

Section: Biomedical Applications Of Responsive Sers Probesmentioning

confidence: 99%

“…Except for serum, SERS can also detect cancer status and predict tumor grade in urine. Hu et al [138] used SERS technology to detect bladder cancer (BCa) from urine containing a variety of metabolites and predict tumor grade. For highly malignant tumors, SERS' total diagnostic sensi- [133] Copyright 2016, Springer Nature.…”

Section: Liquid Biopsy For Early Diagnosis Of Tumorsmentioning

confidence: 99%

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Emergence of Responsive Surface‐Enhanced Raman Scattering Probes for Imaging Tumor‐Associated Metabolites

Yin

Jin

Duan

et al. 2022

Adv Healthcare Materials

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As a core hallmark of cancer, metabolic reprogramming alters the metabolic networks of cancer cells to meet their insatiable appetite for energy and nutrient. Tumor-associated metabolites, the products of metabolic reprogramming, are valuable in evaluating tumor occurrence and progress timely and accurately because their concentration variations usually happen earlier than the aberrances demonstrated in tissue structure and function. As an optical spectroscopic technique, surface-enhanced Raman scattering (SERS) offers advantages in imaging tumor-associated metabolites, including ultrahigh sensitivity, high specificity, multiplexing capacity, and uncompromised signal intensity. This review first highlights recent advances in the development of stimuli-responsive SERS probes. Then the mechanisms leading to the responsive SERS signal triggered by tumor metabolites are summarized. Furthermore, biomedical applications of these responsive SERS probes, such as the image-guided tumor surgery and liquid biopsy examination for tumor molecular typing, are summarized. Finally, the challenges and prospects of the responsive SERS probes for clinical translation are also discussed.

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Section: Biomedical Applications Of Responsive Sers Probesmentioning

confidence: 99%

Section: Liquid Biopsy For Early Diagnosis Of Tumorsmentioning

confidence: 99%

Emergence of Responsive Surface‐Enhanced Raman Scattering Probes for Imaging Tumor‐Associated Metabolites

Yin

Jin

Duan

et al. 2022

Adv Healthcare Materials

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“…The potential of SERS spectroscopy for discrimination of high-grade and low-grade bladder cancer cells was demonstrated. 47 − 49 The possibility to predict the bladder cancer grade by SERS analysis of urine supernatant and sediment was proposed. 47 Recently, a new elegant NIR-SERS platform based on modified Au–Ag nanohollows was developed for effective discrimination of high-grade and low-grade bladder cancer cells.…”

Section: Introductionmentioning

confidence: 99%

“…47−49 The possibility to predict the bladder cancer grade by SERS analysis of urine supernatant and sediment was proposed. 47 Recently, a new elegant NIR-SERS platform based on modified Au−Ag nanohollows was developed for effective discrimination of high-grade and lowgrade bladder cancer cells. 48 In this work, we demonstrated that a label-free SERS spectroscopy approach, in comparison with other approaches, can be applied much more easily while still granting sensitive chemical analysis.…”

Section: Introductionmentioning

confidence: 99%

Toward a SERS Diagnostic Tool for Discrimination between Cancerous and Normal Bladder Tissues via Analysis of the Extracellular Fluid

et al. 2022

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Vibrational spectroscopy provides the possibility for sensitive and precise detection of chemical changes in biomolecules due to development of cancers. In this work, label-free near-infrared surface enhanced Raman spectroscopy (SERS) was applied for the differentiation between cancerous and normal human bladder tissues via analysis of the extracellular fluid of the tissue. Specific cancer-related SERS marker bands were identified by using a 1064 nm excitation wavelength. The prominent spectral marker band was found to be located near 1052 cm –1 and was assigned to the C–C, C–O, and C–N stretching vibrations of lactic acid and/or cysteine molecules. The correct identification of 80% of samples is achieved with even limited data set and could be further improved. The further development of such a detection method could be implemented in clinical practice for the aid of surgeons in determining of boundaries of malignant tumors during the surgery.

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“… 18 , 19 Furthermore, multiple studies have also shown that SERS analysis of serum and urine metabolites can accurately detect bladder cancer and classify tumor grade, promoting SERS based non-invasive diagnosis of BCa. 20 , 21 A multicenter study enrolling 340 patients utilized Raman spectroscopy to characterize epithelial cells in urine, which achieved rapid BCa diagnosis and tumor grading with high accuracies. 22 These promising results of Raman spectroscopy applied in BCa and other types of cancer reveal great potentials of its clinical translation.…”

Section: Introductionmentioning

confidence: 99%

Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

Qian¹,

Wang²,

Ma³

et al. 2022

IJN

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Objective To explore the value of surface-enhanced Raman spectroscopy analysis of pretreated plasma samples in prediction of bladder cancer (BCa) recurrence after neoadjuvant chemotherapy (NAC) and radical cystectomy (RC). Patients and Methods SERS was used to analyze plasma samples collected before biopsy and treatment in BCa patients undergoing NAC and RC. The value of clinicopathological parameters and distinctive SERS peaks in the prediction of disease recurrence were analyzed in Cox regression proportional hazard analysis and Log rank test. Principal component analysis and linear discriminant analysis (PCA-LDA) were employed to process spectral data and construct diagnostic algorithms. Results A total of 88 patients with 440 plasma SERS spectra were collected. The SRES spectra from recurrent patients were compared with patients who remained recurrence free. The SERS demonstrated higher levels of circulating free nucleic acid components in recurrent population, which is represented by significantly higher intensities at SERS peaks of 725 cm −1 , 1328 cm −1 and 1455 cm −1 . The SERS also detected significantly lower levels of tryptophan shown as lower significantly intensities at the 1558 cm −1 , which is proved to be an independent predictor of BCa recurrence. The addition of SERS peaks of 1558 cm −1 to classic clinicopathological predictors including pathological tumor stage, lymph node metastasis and pathological downstaging can significantly enhance the power of the predictive model from 0.66 to 0.76 in the area under curve (AUC) of receiver operating characteristic (ROC) curves. Meanwhile, the PCA-LDA diagnostic model based on SERS spectra reveals a high accuracy of 85.2% in prediction of disease recurrence and the AUC of 0.92 in the ROC curve. When validated in the leave-one-out cross-validation method, the accuracy of the model remained 84.1%. Conclusion We show that SERS analysis of plasma before NAC treatment can accurately classify patients with different risks of disease recurrence after surgery and improve the power of clinicopathological predictive models, thus refining clinical decision-making.

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Detecting urine metabolites of bladder cancer by surface-enhanced Raman spectroscopy

Cited by 32 publications

References 34 publications

Emergence of Responsive Surface‐Enhanced Raman Scattering Probes for Imaging Tumor‐Associated Metabolites

Emergence of Responsive Surface‐Enhanced Raman Scattering Probes for Imaging Tumor‐Associated Metabolites

Toward a SERS Diagnostic Tool for Discrimination between Cancerous and Normal Bladder Tissues via Analysis of the Extracellular Fluid

Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

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