Turn off MathJax
Article Contents
GE Mei-lan, WANG Yu-ye, LI Hai-bin, XU De-gang, YAO Jian-quan. Application of Raman spectroscopy in the detection of brain glioma[J]. Chinese Optics. doi: 10.37188/CO.2024-0003
Citation: GE Mei-lan, WANG Yu-ye, LI Hai-bin, XU De-gang, YAO Jian-quan. Application of Raman spectroscopy in the detection of brain glioma[J]. Chinese Optics. doi: 10.37188/CO.2024-0003

Application of Raman spectroscopy in the detection of brain glioma

doi: 10.37188/CO.2024-0003
Funds:  Supported by National Natural Science Foundation of China (No. U22A20353, 62175182, 62275193, U22A20123)
More Information
  • Corresponding author: yuyewang@tju.edu.cn
  • Received Date: 02 Jan 2024
  • Accepted Date: 26 Feb 2024
  • Available Online: 10 May 2024
  • Brain glioma is a typical and common brain tumor with low cure rate and high recurrence rate. Precise identification of tumor boundaries is an important prerequisite for reducing recurrence and improving prognosis. It has an important clinic significance for glioma to develop a rapid, high-sensitive and label-free diagnostic method. Raman spectroscopy can reflect the chemical and structural information of substance at the molecular level due to its fingerprint characteristics, which has already shown great prospects for the location and identification of glioma. Firstly, we introduce the different types of Raman spectroscopy technologies in this paper. Secondly, the research status of glioma based on Raman spectroscopy is reviewed. Finally, the future development of glioma through Raman spectroscopy is prospected.

     

  • loading
  • [1]
    AGUIAR R P, FALCÃO E T, PASQUALUCCI C A, et al. Use of Raman spectroscopy to evaluate the biochemical composition of normal and tumoral human brain tissues for diagnosis[J]. Lasers in Medical Science, 2022, 37(1): 121-133. doi: 10.1007/s10103-020-03173-1
    [2]
    SCHUPPER A J, YONG R L, HADJIPANAYIS C G. The neurosurgeon's armamentarium for gliomas: an update on intraoperative technologies to improve extent of resection[J]. Journal of Clinical Medicine, 2021, 10(2): 236. doi: 10.3390/jcm10020236
    [3]
    GHINDA D C, WU J S, DUNCAN N W, et al. How much is enough-can resting state fMRI provide a demarcation for neurosurgical resection in glioma?[J]. Neuroscience & Biobehavioral Reviews, 2018, 84: 245-261.
    [4]
    WU L M, XU D G, WANG Y Y, et al. Study of in vivo brain glioma in a mouse model using continuous-wave terahertz reflection imaging[J]. Biomedical Optics Express, 2019, 10(8): 3953-3962. doi: 10.1364/BOE.10.003953
    [5]
    CHERKASOVA O, PENG Y, KONNIKOVA M, et al. Diagnosis of glioma molecular markers by terahertz technologies[J]. Photonics, 2021, 8(1): 22. doi: 10.3390/photonics8010022
    [6]
    ZHANG Y, YU H Q, LI Y Q, et al. Raman spectroscopy: a prospective intraoperative visualization technique for gliomas[J]. Frontiers in Oncology, 2023, 12: 1086643. doi: 10.3389/fonc.2022.1086643
    [7]
    YOO W S, KIM J H, HAN S M. Multiwavelength Raman characterization of silicon stress near through-silicon vias and its inline monitoring applications[J]. Journal of Micro/Nanolithography, MEMS, and MOEMS, 2014, 13(1): 011205. doi: 10.1117/1.JMM.13.1.011205
    [8]
    SEKAR S K V, MOSCA S, FARINA A, et al. Frequency offset Raman spectroscopy (FORS) for depth probing of diffusive media[J]. Optics Express, 2017, 25(5): 4585-4597. doi: 10.1364/OE.25.004585
    [9]
    PUPPELS G J, DE MUL F F M, OTTO C, et al. Studying single living cells and chromosomes by confocal Raman microspectroscopy[J]. Nature, 1990, 347(6290): 301-303. doi: 10.1038/347301a0
    [10]
    CUI S SH, ZHANG SH, YUE SH H. Raman spectroscopy and imaging for cancer diagnosis[J]. Journal of Healthcare Engineering, 2018, 2018: 8619342.
    [11]
    RAUWEL E, AL-ARAG S, SALEHI H, et al. Assessing cobalt metal nanoparticles uptake by cancer cells using live Raman spectroscopy[J]. International Journal of Nanomedicine, 2020, 15: 7051-7062. doi: 10.2147/IJN.S258060
    [12]
    ROBERT B. Resonance Raman spectroscopy[J]. Photosynthesis Research, 2009, 101(2-3): 147-155. doi: 10.1007/s11120-009-9440-4
    [13]
    HOWARD W F, NELSON W H, SPERRY J F. A resonance Raman method for the rapid detection and identification of bacteria in water[J]. Applied Spectroscopy, 1980, 34(1): 72-75. doi: 10.1366/0003702804730790
    [14]
    HAN Y K, QIANG L, GAO Y K, et al. Large-area surface-enhanced Raman spectroscopy substrate by hybrid porous GaN with Au/Ag for breast cancer miRNA detection[J]. Applied Surface Science, 2021, 541: 148456. doi: 10.1016/j.apsusc.2020.148456
    [15]
    ZHANG J, DONG Y H, ZHU W F, et al. Ultrasensitive detection of circulating tumor DNA of lung cancer via an enzymatically amplified SERS-based frequency shift assay[J]. ACS Applied Materials & Interfaces, 2019, 11(20): 18145-18152.
    [16]
    ANDREI C C, MORAILLON A, LARQUET E, et al. SERS characterization of aggregated and isolated bacteria deposited on silver-based substrates[J]. Analytical and Bioanalytical Chemistry, 2021, 413(5): 1417-1428. doi: 10.1007/s00216-020-03106-5
    [17]
    CHEN H, DAS A, BI L Y, et al. Recent advances in surface-enhanced Raman scattering-based microdevices for point-of-care diagnosis of viruses and bacteria[J]. Nanoscale, 2020, 12(42): 21560-21570. doi: 10.1039/D0NR06340A
    [18]
    JAWORSKA A, FORNASARO S, SERGO V, et al. Potential of surface enhanced Raman spectroscopy (SERS) in therapeutic drug monitoring (TDM). A critical review[J]. Biosensors, 2016, 6(3): 47. doi: 10.3390/bios6030047
    [19]
    HUNTER R, SOHI A N, KHATOON Z, et al. Optofluidic label-free SERS platform for rapid bacteria detection in serum[J]. Sensors and Actuators B: Chemical, 2019, 300: 126907. doi: 10.1016/j.snb.2019.126907
    [20]
    ZHANG B Y, YIN P J, HU Y H, et al. Highly accurate and label-free discrimination of single cancer cell using a plasmonic oxide-based nanoprobe[J]. Biosensors and Bioelectronics, 2022, 198: 113814. doi: 10.1016/j.bios.2021.113814
    [21]
    DEY P, VAIDEANU A, MOSCA S, et al. Surface enhanced deep Raman detection of cancer tumour through 71 mm of heterogeneous tissue[J]. Nanotheranostics, 2022, 6(3): 337-349. doi: 10.7150/ntno.71510
    [22]
    POTMA E O, DE BOEIJ W P, VAN HAASTERT P J M, et al. Real-time visualization of intracellular hydrodynamics in single living cells[J]. Proceedings of the National Academy of Sciences of the United States of America, 2001, 98(4): 1577-1582.
    [23]
    STEUWE C, PATEL I I, UL-HASAN M, et al. CARS based label-free assay for assessment of drugs by monitoring lipid droplets in tumour cells[J]. Journal of Biophotonics, 2014, 7(11-12): 906-913. doi: 10.1002/jbio.201300110
    [24]
    WANG H W, LANGOHR I M, STUREK M, et al. Imaging and quantitative analysis of atherosclerotic lesions by CARS-based multimodal nonlinear optical microscopy[J]. Arteriosclerosis, Thrombosis, and Vascular Biology, 2009, 29(9): 1342-1348. doi: 10.1161/ATVBAHA.109.189316
    [25]
    KISS N, KROLOPP Á, LŐRINCZ K, et al. Stain-free histopathology of basal cell carcinoma by dual vibration resonance frequency CARS microscopy[J]. Pathology & Oncology Research, 2018, 24(4): 927-930.
    [26]
    WEI L, YU Y, SHEN Y H, et al. Vibrational imaging of newly synthesized proteins in live cells by stimulated Raman scattering microscopy[J]. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110(28): 11226-11231.
    [27]
    OZEKI Y, UMEMURA W, OTSUKA Y, et al. High-speed molecular spectral imaging of tissue with stimulated Raman scattering[J]. Nature Photonics, 2012, 6(12): 845-851. doi: 10.1038/nphoton.2012.263
    [28]
    SAAR B G, FREUDIGER C W, REICHMAN J, et al. Video-rate molecular imaging in vivo with stimulated Raman scattering[J]. Science, 2010, 330(6009): 1368-1370. doi: 10.1126/science.1197236
    [29]
    FU D, LU F K, ZHANG X, et al. Quantitative chemical imaging with multiplex stimulated Raman scattering microscopy[J]. Journal of the American Chemical Society, 2012, 134(8): 3623-3626. doi: 10.1021/ja210081h
    [30]
    ZHANG R R, KUO J S. Detection of human brain tumor infiltration with quantitative stimulated Raman scattering microscopy[J]. Neurosurgery, 2016, 78(4): N9-N11.
    [31]
    LU F K, CALLIGARIS D, OLUBIYI O I, et al. Label-free neurosurgical pathology with stimulated Raman imaging[J]. Cancer Research, 2016, 76(12): 3451-3462. doi: 10.1158/0008-5472.CAN-16-0270
    [32]
    REINECKE D, VON SPRECKELSEN N, MAWRIN C, et al. Novel rapid intraoperative qualitative tumor detection by a residual convolutional neural network using label-free stimulated Raman scattering microscopy[J]. Acta Neuropathologica Communications, 2022, 10(1): 109. doi: 10.1186/s40478-022-01411-x
    [33]
    TASHIBU K. Analysis of water content in rat brain using Raman spectroscopy[J]. No To Shinkei, 1990, 42(10): 999-1004.
    [34]
    KOLJENOVIĆ S, CHOO-SMITH L P, SCHUT T C B, et al. Discriminating vital tumor from necrotic tissue in human glioblastoma tissue samples by Raman spectroscopy[J]. Laboratory Investigation, 2002, 82(10): 1265-1277. doi: 10.1097/01.LAB.0000032545.96931.B8
    [35]
    付荣荣, 鲍甜恬, 田永胜, 等. 基于子成分分解的脑电信号去噪方法比较研究[J]. 计量学报,2019,40(4):708-713. doi: 10.3969/j.issn.1000-1158.2019.04.27

    FU R R, BAO T T, TIAN Y SH, et al. Comparative study on denoising methods of EEG signals based on subcomponent decomposition[J]. Acta Metrologica Sinica, 2019, 40(4): 708-713. (in Chinese). doi: 10.3969/j.issn.1000-1158.2019.04.27
    [36]
    KAST R E, AUNER G W, ROSENBLUM M L, et al. Raman molecular imaging of brain frozen tissue sections[J]. Journal of Neuro-Oncology, 2014, 120(1): 55-62. doi: 10.1007/s11060-014-1536-9
    [37]
    LOUIS D N, OHGAKI H, WIESTLER O D, et al. The 2007 WHO classification of tumours of the central nervous system[J]. Acta Neuropathologica, 2007, 114(2): 97-109. doi: 10.1007/s00401-007-0243-4
    [38]
    BELEITES C, GEIGER K, KIRSCH M, et al. Raman spectroscopic grading of astrocytoma tissues: using soft reference information[J]. Analytical and Bioanalytical Chemistry, 2011, 400(9): 2801-2816. doi: 10.1007/s00216-011-4985-4
    [39]
    UCKERMANN O, YAO W M, JURATLI T A, et al. IDH1 mutation in human glioma induces chemical alterations that are amenable to optical Raman spectroscopy[J]. Journal of Neuro-Oncology, 2018, 139(2): 261-268.
    [40]
    RIVA M, SCIORTINO T, SECOLI R, et al. Glioma biopsies classification using Raman spectroscopy and machine learning models on fresh tissue samples[J]. Cancers, 2021, 13(5): 1073. doi: 10.3390/cancers13051073
    [41]
    UPRETI K, VERMA M, AGRAWAL M, et al. Prediction of mechanical strength by using an artificial neural network and random forest algorithm[J]. Journal of Nanomaterials, 2022, 2022: 7791582.
    [42]
    KIRSCH M, SCHACKERT G, SALZER R, et al. Raman spectroscopic imaging for in vivo detection of cerebral brain metastases[J]. Analytical and Bioanalytical Chemistry, 2010, 398(4): 1707-1713. doi: 10.1007/s00216-010-4116-7
    [43]
    BANERJEE H, VERMA M. Intraoperative brain cancer detection with Raman spectroscopy in humans[J]. Annals of Translational Medicine, 2016, 4(4): 68.
    [44]
    JERMYN M, DESROCHES J, MERCIER J, et al. Raman spectroscopy detects distant invasive brain cancer cells centimeters beyond MRI capability in humans[J]. Biomedical Optics Express, 2016, 7(12): 5129-5137. doi: 10.1364/BOE.7.005129
    [45]
    DESROCHES J, JERMYN M, PINTO M, et al. A new method using Raman spectroscopy for in vivo targeted brain cancer tissue biopsy[J]. Scientific Reports, 2018, 8(1): 1792. doi: 10.1038/s41598-018-20233-3
    [46]
    DESROCHES J, LEMOINE É, PINTO M, et al. Development and first in-human use of a Raman spectroscopy guidance system integrated with a brain biopsy needle[J]. Journal of Biophotonics, 2019, 12(3): e201800396. doi: 10.1002/jbio.201800396
    [47]
    ZHOU Y, LIU CH H, WU B L, et al. Optical biopsy identification and grading of gliomas using label-free visible resonance Raman spectroscopy[J]. Journal of Biomedical Optics, 2019, 24(9): 095001.
    [48]
    EVANS C L, XU X Y, KESARI S, et al. Chemically-selective imaging of brain structures with CARS microscopy[J]. Optics Express, 2007, 15(19): 12076-12087. doi: 10.1364/OE.15.012076
    [49]
    CAMP C H JR, LEE Y J, HEDDLESTON J M, et al. High-speed coherent Raman fingerprint imaging of biological tissues[J]. Nature Photonics, 2014, 8(8): 627-634. doi: 10.1038/nphoton.2014.145
    [50]
    FREUDIGER C W, MIN W, SAAR B G, et al. Label-free biomedical imaging with high sensitivity by stimulated Raman scattering microscopy[J]. Science, 2008, 322(5909): 1857-1861. doi: 10.1126/science.1165758
    [51]
    JI M B, LEWIS S, CAMELO-PIRAGUA S, et al. Detection of human brain tumor infiltration with quantitative stimulated Raman scattering microscopy[J]. Science Translational Medicine, 2015, 7(309): 309ra163.
    [52]
    LI J W, WANG CH D, YAO Y, et al. Label-free discrimination of glioma brain tumors in different stages by surface enhanced Raman scattering[J]. Talanta, 2020, 216: 120983. doi: 10.1016/j.talanta.2020.120983
    [53]
    TANAHASHI K, NATSUME A, OHKA F, et al. Assessment of tumor cells in a mouse model of diffuse infiltrative glioma by Raman spectroscopy[J]. BioMed research international, 2014, 2014: 860241.
    [54]
    BARKUR S, BANKAPUR A, PRADHAN M, et al. Probing differentiation in cancer cell lines by single-cell micro-Raman spectroscopy[J]. Journal of Biomedical Optics, 2015, 20(8): 085001. doi: 10.1117/1.JBO.20.8.085001
    [55]
    ITURRIOZ-RODRÍGUEZ N, DE PASQUALE D, FIASCHI P, et al. Discrimination of glioma patient-derived cells from healthy astrocytes by exploiting Raman spectroscopy[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 269: 120773. doi: 10.1016/j.saa.2021.120773
    [56]
    ZHAO J, LIU X Y, ZHOU Y, et al. Surface-enhanced Raman scattering technology based on TiO2/Nb2C coated microfluidic chip for monitoring glioma cells invasion in real time[J]. Chinese Chemical Letters, 2023, 34(6): 107895. doi: 10.1016/j.cclet.2022.107895
    [57]
    LARION M, DOWDY T, RUIZ-RODADO V, et al. Detection of metabolic changes induced via drug treatments in live cancer cells and tissue using Raman imaging microscopy[J]. Biosensors, 2018, 9(1): 5. doi: 10.3390/bios9010005
    [58]
    YUAN Y H, SHAH N, ALMOHAISIN M I, et al. Assessing fatty acid-induced lipotoxicity and its therapeutic potential in glioblastoma using stimulated Raman microscopy[J]. Scientific Reports, 2021, 11(1): 7422. doi: 10.1038/s41598-021-86789-9
    [59]
    ZACHARIAH M A, OLIVEIRA-COSTA J P, CARTER B S, et al. Blood-based biomarkers for the diagnosis and monitoring of gliomas[J]. Neuro-Oncology, 2018, 20(9): 1155-1161. doi: 10.1093/neuonc/noy074
    [60]
    SILANTYEV A S, FALZONE L, LIBRA M, et al. Current and future trends on diagnosis and prognosis of glioblastoma: from molecular biology to proteomics[J]. Cells, 2019, 8(8): 863. doi: 10.3390/cells8080863
    [61]
    SURMAN M, STĘPIEŃ E, HOJA-ŁUKOWICZ D, et al. Deciphering the role of ectosomes in cancer development and progression: focus on the proteome[J]. Clinical & Experimental Metastasis, 2017, 34(3-4): 273-289.
    [62]
    GOURLAY J, MOROKOFF A P, LUWOR R B, et al. The emergent role of exosomes in glioma[J]. Journal of Clinical Neuroscience, 2017, 35: 13-23. doi: 10.1016/j.jocn.2016.09.021
    [63]
    MANGANO K, MAZZON E, BASILE M S, et al. Pathogenic role for macrophage migration inhibitory factor in glioblastoma and its targeting with specific inhibitors as novel tailored therapeutic approach[J]. Oncotarget, 2018, 9(25): 17951-17970. doi: 10.18632/oncotarget.24885
    [64]
    NAKAGAWA H, YAMADA M, KANAYAMA T, et al. Myelin basic protein in the cerebrospinal fluid of patients with brain tumors[J]. Neurosurgery, 1994, 34(5): 825-833.
    [65]
    KWON H, OH S, JIN X, et al. Cancer metabolomics in basic science perspective[J]. Archives of Pharmacal Research, 2015, 38(3): 372-380. doi: 10.1007/s12272-015-0552-4
    [66]
    ALI J S, AIN N U, NAZ S, et al. Biomarker selection and imaging design in cancer: a link with biochemical pathways for imminent engineering[J]. Heliyon, 2020, 6(2): e03340. doi: 10.1016/j.heliyon.2020.e03340
    [67]
    BULIK M, JANCALEK R, VANICEK J, et al. Potential of MR spectroscopy for assessment of glioma grading[J]. Clinical Neurology and Neurosurgery, 2013, 115(2): 146-153. doi: 10.1016/j.clineuro.2012.11.002
    [68]
    STADLBAUER A, GRUBER S, NIMSKY C, et al. Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging[J]. Radiology, 2006, 238(3): 958-969. doi: 10.1148/radiol.2382041896
    [69]
    FUJITA Y, KOHTA M, SASAYAMA T, et al. Intraoperative 3-T magnetic Resonance spectroscopy for detection of proliferative remnants of glioma[J]. World Neurosurgery, 2020, 137: 149-157. doi: 10.1016/j.wneu.2020.01.217
    [70]
    MÖRÉN L, BERGENHEIM A T, GHASIMI S, et al. Metabolomic screening of tumor tissue and serum in glioma patients reveals diagnostic and prognostic information[J]. Metabolites, 2015, 5(3): 502-520. doi: 10.3390/metabo5030502
    [71]
    KRUCHKO C, GITTLEMAN H, RUHL J, et al. Cancer collection efforts in the United States provide clinically relevant data on all primary brain and other CNS tumors[J]. Neuro-Oncology Practice, 2019, 6(5): 330-339. doi: 10.1093/nop/npz029
    [72]
    DANG L, WHITE D W, GROSS S, et al. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate[J]. Nature, 2010, 465(7300): 966-966.
    [73]
    MIAO X X, FANG Q Q, XIAO X, et al. Integrating cycled enzymatic DNA amplification and surface-enhanced Raman scattering for sensitive detection of circulating tumor DNA[J]. Frontiers in Molecular Biosciences, 2021, 8: 676065. doi: 10.3389/fmolb.2021.676065
    [74]
    ZHOU Y, LIU CH H, WU B L, et al. Invited article: molecular biomarkers characterization for human brain glioma grading using visible resonance Raman spectroscopy[J]. APL Photonics, 2018, 3(12): 120802. doi: 10.1063/1.5036637
    [75]
    QUESNEL A, COLES N, ANGIONE C, et al. Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy[J]. BMC Cancer, 2023, 23(1): 174. doi: 10.1186/s12885-023-10588-w
    [76]
    GE M L, WANG Y Y, ZHANG F, et al. Study of low-frequency spectroscopic characteristics of γ-aminobutyric acid with THz and low-wavenumber Raman spectroscopy[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2024, 305: 123550. doi: 10.1016/j.saa.2023.123550
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(22)  / Tables(2)

    Article views(83) PDF downloads(7) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return