Non-invasive detection of hepatocellular carcinoma serum metabolic profile through surface-enhanced Raman spectroscopy

Xiao, Rui; Zhang, Xuhui; Rong, Zhen; Xiu, Bingshui; Yang, Xinglun; Wang, Chongwen; Hao, Wende; Zhang, Qi; Liu, Zhiqiang; Duan, Cuimi; Zhao, Kai; Guo, Xu; Fan, Yawen; Zhao, Yanfeng; Johnson, Heather; Huang, Yan; Feng, Xiaoyan; Xu, Xiaohong; Zhang, Heqiu; Wang, Shengqi

doi:10.1016/j.nano.2016.07.014

Cited by 60 publications

(40 citation statements)

References 42 publications

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“…The mean plasma Raman spectra of the early biochemical recurrence patients (red line) and bRFS patients (cyan line) are shown in Figure 2A. In all patients, the holistic Raman spectral features were demonstrated in the following peaks with tentative biochemical assignments (Table 1): [19][20][21][22][23] 638 cm −1 (C−S twist/l-tyrosine); 725 cm −1 (CH bending vibration in adenine, hypoxanthine, and coenzyme A); 810 cm −1 (C−C−O stretching vibration/l-serine); 1,014 cm −1 (C−H stretching vibration/phenylalanine); 1,130 cm −1 (C−N stretching vibration/d-mannose); 1,328 cm −1 (CH 2 twist vibration/lipids and C-H vibration in DNA/RNA); 1,584 cm −1 (C=C bending/acetoacetate); and 1,660 cm −1 (C=C stretching vibration/amide I). When comparing the plasma Raman spectra between the two groups, the patients of early biochemical recurrence had shown stronger intensities at 725 (P,0.01), 1,328 (P,0.01), and 1,447 cm −1 (P,0.01), while lower intensity at 1,014 cm −1 (P,0.01) ( Figure 2B).…”

Section: Sers Spectra Features Of the Plasma Samplesmentioning

confidence: 97%

Surface-enhanced Raman spectroscopy before radical prostatectomy predicts biochemical recurrence better than CAPRA-S

Pan¹,

Shao²,

Zhu³

et al. 2019

IJN

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ObjectiveThe objective of this study was to evaluate the performance of surface-enhanced Raman spectroscopy (SERS) in the prediction of early biochemical recurrence after radical prostatectomy (RP).Patients and methodsWe synthesized monodisperse gold nanoparticles as SERS-enhanced substrates and analyzed preoperative plasma samples of patients who underwent RP. The roles of clinical risk model (Cancer of the Prostate Risk Assessment [CAPRA] score) and distinctive SERS spectra on prediction of early biochemical recurrence were evaluated. The principal component analysis and linear discriminant analysis (PCA-LDA) were used to manage the spectral data and develop diagnostic algorithm.ResultsA total of 306 preoperative plasma Raman spectra from 102 patients were collected. SERS spectrum from those who developed early biochemical recurrence were compared to those who remained biochemical recurrence-free. The SERS detected more abundant circulating free nucleic acid bases in biochemical recurrence population, presenting significant stronger intensities at SERS spectral bands 725 and 1,328 cm−1. The addition of Raman spectral peak 1,328 cm−1 to CAPRA postsurgical (CAPRA-S) score significantly improved the predictive power of logistic regression model compared to simple CAPRA score (P<0.001). Meanwhile, the leave-one-out cross-validation method was used to validate the PCA-LDA model and revealed the sensitivity, specificity, and accuracy of 65.8%, 87.5%, and 79.4%, respectively. The receiver operating characteristic (ROC) curve was used to evaluate the performance of different models. Area under the ROC curve of the CAPRA-S score model alone was 0.77, however, when combined with Raman spectral peak 1,328 cm−1, it improved to 0.81.ConclusionOur primary results suggested that SERS could be a meaningful technique for prediction of early biochemical recurrence in prostate cancer.

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Section: Sers Spectra Features Of the Plasma Samplesmentioning

confidence: 97%

Surface-enhanced Raman spectroscopy before radical prostatectomy predicts biochemical recurrence better than CAPRA-S

Pan¹,

Shao²,

Zhu³

et al. 2019

IJN

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“…Cancer detection has been achieved by analysis of preassigned Raman peaks specific to certain circulating metabolites using the same strategy as mentioned in Section . Common cancer metabolites (proline, valine, adenine, and thymine) were determined from serum samples for SERS‐based detection . Silver‐coated AuNRs (Ag@Au NRs) exhibited EM enhancement upon direct absorption of metabolites on the surface.…”

Section: In Vitro Detection Of Biomarkers With Sers For Cancer Diagnomentioning

confidence: 99%

Advances in surface‐enhanced Raman spectroscopy for cancer diagnosis and staging

Chakraborty

Ghosh

Barui

2019

J Raman Spectroscopy

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Surface‐enhanced Raman spectroscopy (SERS) is rapidly emerging as a bioanalytical tool for cancer diagnosis and therapy. The SERS‐based molecular diagnostics have progressed from proof‐of‐concept studies towards analysis in animal models as well as for in vitro clinical diagnostics in the last decade. Recently, SERS has also been implemented in screening, diagnosis, and staging of clinical cancer samples. Moreover, in vivo SERS imaging has been implemented for mapping the extent of tumor growth and metastasis; SERS nanoparticles have also enabled image‐guided therapies strongly indicating SERS technology can significantly complement the practice of oncology. Despite the progress, widespread clinical translation of SERS nanoparticles is still challenging. Current SERS strategies in diagnostic oncology require further development and standardization to progress from bench‐top to point‐of‐care applications. The present review critically analyzes the current state of the art about various strategies for SERS‐based cancer detection and staging from cellular metabolites, exosomes, circulating tumor cells, extracellular fluids, and cancer cells.

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“…[11][12][13] In the¯eld of biomedicine, in recent years, SERS technique has shown to be an excellent technique for the biopsybased and body-°uid-based detection of some cancers such as gastric cancer, breast cancer, colorectal cancer, esophagus cancer and cervical cancers. [14][15][16][17][18][19][20] It has demonstrated good application value in the body-°uid-based detection of cancer and is expected to provide new diagnostic criteria for the clinical detection and study of cancer. 21 Among the body°u ids detection, the applications of blood detection are the most frequent.…”

Section: Introductionmentioning

confidence: 99%

Identification and analysis of serum samples by surface-enhanced Raman spectroscopy combined with characteristic ratio method and PCA for gastric cancer detection

Guo

Huang

et al. 2019

J. Innov. Opt. Health Sci.

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This study aimed to explore the application of surface-enhanced Raman scattering (SERS) in the rapid diagnosis of gastric cancer. The SERS spectra of 68 serum samples from gastric cancer patients and healthy volunteers were acquired. The characteristic ratio method (CRM) and principal component analysis (PCA) were used to differentiate gastric cancer serum from normal serum. Compared with healthy volunteers, the serum SERS intensity of gastric cancer patients was relatively high at 722[Formula: see text]cm[Formula: see text], while it was relatively low at 588, 644, 861, 1008, 1235, 1397, 1445 and 1586[Formula: see text]cm[Formula: see text]. These results indicated that the relative content of nucleic acids in the serum of gastric cancer patients rises while the relative content of amino acids and carbohydrates decreases. In PCA, the sensitivity and specificity of discriminating gastric cancer were 94.1% and 94.1%, respectively, with the accuracy of 94.1%. Based on the intensity ratios of four characteristic peaks at 722, 861, 1008 and 1397[Formula: see text]cm[Formula: see text], CRM presented the diagnostic sensitivity and specificity of 100% and 97.4%, respectively, and the accuracy of 98.5%. Therefore, the three peak intensity ratios of I[Formula: see text]/I[Formula: see text], I[Formula: see text]/I[Formula: see text] and I[Formula: see text]/I[Formula: see text] can be considered as biological fingerprint information for gastric cancer diagnosis and can rapidly and directly reflect the physiological and pathological changes associated with gastric cancer development. This study provides an important basis and standards for the early diagnosis of gastric cancer.

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Non-invasive detection of hepatocellular carcinoma serum metabolic profile through surface-enhanced Raman spectroscopy

Cited by 60 publications

References 42 publications

Surface-enhanced Raman spectroscopy before radical prostatectomy predicts biochemical recurrence better than CAPRA-S

Surface-enhanced Raman spectroscopy before radical prostatectomy predicts biochemical recurrence better than CAPRA-S

Advances in surface‐enhanced Raman spectroscopy for cancer diagnosis and staging

Identification and analysis of serum samples by surface-enhanced Raman spectroscopy combined with characteristic ratio method and PCA for gastric cancer detection

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