Journal of Peking University(Health Sciences) >
Application of Raman-based technologies in the detection of urological tumors
Received date: 2022-04-06
Online published: 2022-08-11
Supported by
National Natural Science Foundation of China(62027824);Capital Health Research and Development of Special(2020-2Z-40713);Capital Health Research and Development of Special(2022-1-4072);Clinical Features Research of Capital(Z211100002921070);Peking University Baidu Fund Grant(2020BD033)
Urinary system tumors affect a huge number of individuals, and are frequently recurrent and progressing following surgery, necessitating lifelong surveillance. As a result, early and precise diagnosis of urinary system cancers is important for prevention and therapy. Histopathology is now the golden stan-dard for the diagnosis, but it is invasive, time-consuming, and inconvenient for initial diagnosis and re-gular follow-up assessment. Endoscopy can directly witness the tumor's structure, but intrusive detection is likely to cause harm to the patient's organs, and it is apt to create other hazards in frequently examined patients. Imaging is a valuable non-invasive and quick assessment tool; however, it can be difficult to define the type of lesions and has limited sensitivity for early tumor detection. The conventional approaches for detecting tumors have their own set of limitations. Thus, detection methods that combine non-invasive detection, label-free detection, high sensitivity and high specificity are urgently needed to aid clinical diagnosis. Optical diagnostics and imaging are increasingly being employed in healthcare settings in a variety of sectors. Raman scattering can assess changes in molecular signatures in cancer cells or tissues based on the interaction with vibrational modes of common molecular bonds. Due to the advantages of label-free, strong chemical selectivity, and high sensitivity, Raman scattering, especially coherent Raman scattering microscopy imaging with high spatial resolution, has been widely used in biomedical research. And quantity studies have shown that it has a good application in the detection and diagnosis of bladder can-cer, renal clear cell carcinoma, prostate cancer, and other cancers. In this paper, several nonlinear imaging techniques based on Raman scattering technology are briefly described, including Raman spectroscopy, coherent anti-Stokes Raman scattering, stimulated Raman scattering, and surface-enhanced Raman spectroscopy. And we will discuss the application of these techniques for detecting urologic malignancy. Future research directions are predicted using the advantages and limitations of the aforesaid methodologies in the research. For clinical practice, Raman scattering technology is intended to enable more accurate, rapid, and non-invasive in early diagnosis, intraoperative margins, and pathological grading basis for clinical practice.
Key words: Urologic neoplasms; Diagnosis; Spectrum analysis, Raman
Zhe HAO , Shu-hua YUE , Li-qun ZHOU . Application of Raman-based technologies in the detection of urological tumors[J]. Journal of Peking University(Health Sciences), 2022 , 54(4) : 779 -784 . DOI: 10.19723/j.issn.1671-167X.2022.04.033
| 1 | Montironi R , Cheng L , Scarpelli M , et al. Pathology and genetics: Tumours of the urinary system and male genital system: Clinical implications of the 4th edition of the WHO classification and beyond[J]. Eur Urol, 2016, 70 (1): 120- 123. |
| 2 | Truong LD , Krishnan B , Shen SS . Intraoperative pathology consultation for kidney and urinary bladder specimens[J]. Arch Pathol Lab Med, 2005, 129 (12): 1585- 1601. |
| 3 | Babjuk M , Burger M , Capoun O , et al. European association of urology guidelines on non-muscle-invasive bladder cancer (Ta, T1, and carcinoma in situ)[J]. Eur Urol, 2022, 81 (1): 75- 94. |
| 4 | Haka AS , Shafer-Peltier KE , Fitzmaurice M , et al. Diagnosing breast cancer by using Raman spectroscopy[J]. Proc Natl Acad Sci USA, 2005, 102 (35): 12371- 12376. |
| 5 | Fan T , Sun G , Sun X , et al. Tumor energy metabolism and potential of 3-bromopyruvate as an inhibitor of aerobic glycolysis: Implications in tumor treatment[J]. Cancers (Basel), 2019, 11 (3): 317. |
| 6 | Hanahan D , Weinberg RA . Hallmarks of cancer: The next gene-ration[J]. Cell, 2011, 144 (5): 646- 674. |
| 7 | He C , Wu X , Zhou J , et al. Raman optical identification of renal cell carcinoma via machine learning[J]. Spectrochim Acta A Mol Biomol Spectrosc, 2021, 252, 119520. |
| 8 | Hubbard TJE , Shore A , Stone N . Raman spectroscopy for rapid intra-operative margin analysis of surgically excised tumour specimens[J]. Analyst, 2019, 144 (22): 6479- 6496. |
| 9 | Yosef HK , Krauβ SD , Lechtonen T , et al. Noninvasive diagnosis of high-grade urothelial carcinoma in urine by Raman spectral imaging[J]. Anal Chem, 2017, 89 (12): 6893- 6899. |
| 10 | Bensalah K , Fleureau J , Rolland D , et al. Raman spectroscopy: A novel experimental approach to evaluating renal tumours[J]. Eur Urol, 2010, 58 (4): 602- 608. |
| 11 | Shapiro A , Gofrit ON , Pizov G , et al. Raman molecular imaging: A novel spectroscopic technique for diagnosis of bladder cancer in urine specimens[J]. Eur Urol, 2011, 59 (1): 106- 112. |
| 12 | Cui S , Zhang S , Yue S . Raman spectroscopy and imaging for cancer diagnosis[J]. J Healthc Eng, 2018, 2018, 8619342. |
| 13 | Evans CL , Xie XS . Coherent anti-stokes Raman scattering microscopy: Chemical imaging for biology and medicine[J]. Annu Rev Anal Chem (Palo Alto Calif), 2008, 1, 883- 909. |
| 14 | 李润丰, 董大山, 施可彬. 光场调控在相干拉曼散射光谱与成像中的应用(特邀)[J]. 光子学报, 2022, 51 (1): 151- 162. |
| 15 | Pope I , Payne L , Zoriniants G , et al. Coherent anti-Stokes Raman scattering microscopy of single nanodiamonds[J]. Nat Nanotech-nol, 2014, 9 (11): 940- 946. |
| 16 | Freudiger CW , Min W , Saar BG , et al. Label-free biomedical imaging with high sensitivity by stimulated Raman scattering microscopy[J]. Science, 2008, 322 (5909): 1857- 1861. |
| 17 | Cheng JX , Xie XS . Vibrational spectroscopic imaging of living systems: An emerging platform for biology and medicine[J]. Science, 2015, 350 (6264): aaa8870. |
| 18 | Yue S , Li J , Lee SY , et al. Cholesteryl ester accumulation induced by PTEN loss and PI3K/AKT activation underlies human prostate cancer aggressiveness[J]. Cell Metab, 2014, 19 (3): 393- 406. |
| 19 | Zhang L , Wu Y , Zheng B , et al. Rapid histology of laryngeal squamous cell carcinoma with deep-learning based stimulated Raman scattering microscopy[J]. Theranostics, 2019, 9 (9): 2541- 2554. |
| 20 | Han XX , Rodriguez RS , Haynes CL , et al. Surface-enhanced Raman spectroscopy[J]. Nat Rev Methods Primers, 2022, (1): 87. |
| 21 | Pérez-Jiménez AI , Lyu D , Lu Z , et al. Surface-enhanced Raman spectroscopy: Benefits, trade-offs and future developments[J]. Chem Sci, 2020, 11 (18): 4563- 4577. |
| 22 | Saginala K , Barsouk A , Aluru JS , et al. Epidemiology of bladder cancer[J]. Med Sci (Basel), 2020, 8 (1): 15. |
| 23 | Tatsugami K , Kuroiwa K , Kamoto T , et al. Evaluation of narrow-band imaging as a complementary method for the detection of bladder cancer[J]. J Endourol, 2010, 24 (11): 1807- 1811. |
| 24 | Soubra A , Risk MC . Diagnostics techniques in nonmuscle invasive bladder cancer[J]. Indian J Urol, 2015, 31 (4): 283- 288. |
| 25 | Lee CS , Yoon CY , Witjes JA . The past, present and future of cystoscopy: The fusion of cystoscopy and novel imaging technology[J]. BJU Int, 2008, 102 (9 Pt B): 1228- 1233. |
| 26 | Yafi FA , Brimo F , Steinberg J , et al. Prospective analysis of sensitivity and specificity of urinary cytology and other urinary biomarkers for bladder cancer[J]. Urol Oncol, 2015, 33 (2): 66. |
| 27 | Chakraborty A , Dasari S , Long W , et al. Urine protein biomar-kers for the detection, surveillance, and treatment response prediction of bladder cancer[J]. Am J Cancer Res, 2019, 9 (6): 1104- 1117. |
| 28 | Chou R , Gore JL , Buckley D , et al. Urinary biomarkers for diagnosis of bladder cancer: A systematic review and meta-analysis[J]. Ann Intern Med, 2015, 163 (12): 922- 931. |
| 29 | Wang Z , Que H , Suo C , et al. Evaluation of the NMP22 BladderChek test for detecting bladder cancer: A systematic review and meta-analysis[J]. Oncotarget, 2017, 8 (59): 100648- 100656. |
| 30 | He H , Han C , Hao L , et al. ImmunoCyt test compared to cytology in the diagnosis of bladder cancer: A meta-analysis[J]. Oncol Lett, 2016, 12 (1): 83- 88. |
| 31 | Stone N , Kendall C , Shepherd N , et al. Near-infrared Raman spectroscopy for the classification of epithelial pre-cancers and cancers[J]. J Raman Spectrosc, 2002, 33 (7): 564- 573. |
| 32 | Crow P , Uff J , Farmer JA , et al. The use of Raman spectroscopy to identify and characterize transitional cell carcinoma in vitro[J]. BJU Int, 2004, 93 (9): 1232- 1236. |
| 33 | de Jong B , Bakker Schut T , Maquelin K , et al. Discrimination between nontumor bladder tissue and tumor by Raman spectroscopy[J]. Anal Chem, 2006, 78 (22): 7761- 7769. |
| 34 | Draga RO , Grimbergen MC , Vijverberg PL , et al. In vivo bladder cancer diagnosis by high-volume Raman spectroscopy[J]. Anal Chem, 2010, 82 (14): 5993- 5999. |
| 35 | Zhang P , Zhang Y , Liu W , et al. A molecular beacon based surface-enhanced Raman scattering nanotag for noninvasive diagnosis of bladder cancer[J]. J Biomed Nanotechnol, 2019, 15 (7): 1589- 1597. |
| 36 | Hu D , Xu X , Zhao Z , et al. Detecting urine metabolites of bladder cancer by surface-enhanced Raman spectroscopy[J]. Spectrochim Acta A Mol Biomol Spectrosc, 2021, 247, 119108. |
| 37 | Ljungberg B, Albiges L, Abu-Ghanem Y, et al. European Asso-ciation of Urology guidelines on renal cell carcinoma: The 2022 Update[J/OL]. Eur Urol, 2022. doi: 10.1016/j.eururo.2022.03.006. |
| 38 | Volpe A , Kachura JR , Geddie WR , et al. Techniques, safety and accuracy of sampling of renal tumors by fine needle aspiration and core biopsy[J]. J Urol, 2007, 178 (2): 379- 386. |
| 39 | Haifler M , Kutikov A . Update on renal mass biopsy[J]. Curr Urol Rep, 2017, 18 (4): 28. |
| 40 | Zhu D , Cao J , Zhi C , et al. Prognostic significance of the sub-classification of stage pT3a renal tumors by perinephric and sinus fat invasion[J]. Oncol Lett, 2020, 19 (3): 1721- 1726. |
| 41 | Wills H , Kast R , Stewart C , et al. Diagnosis of Wilms' tumor using near-infrared Raman spectroscopy[J]. J Pediatr Surg, 2009, 44 (6): 1152- 1158. |
| 42 | Couapel JP , Senhadji L , Rioux-Leclercq N , et al. Optical spectroscopy techniques can accurately distinguish benign and malignant renal tumours[J]. BJU Int, 2013, 111 (6): 865- 871. |
| 43 | Haifler M , Pence I , Sun Y , et al. Discrimination of malignant and normal kidney tissue with short wave infrared dispersive Raman spectroscopy[J]. J Biophotonics, 2018, 11 (6): e201700188. |
| 44 | Mert S , ?zbek E , ?tün?temur A , et al. Kidney tumor staging using surface-enhanced Raman scattering[J]. J Biomed Opt, 2015, 20 (4): 047002. |
| 45 | Bjurlin MA , Wysock JS , Taneja SS . Optimization of prostate bio-psy: Review of technique and complications[J]. Urol Clin North Am, 2014, 41 (2): 299- 313. |
| 46 | Duffy MJ . Biomarkers for prostate cancer: prostate-specific antigen and beyond[J]. Clin Chem Lab Med, 2020, 58 (3): 326- 339. |
| 47 | Crow P , Stone N , Kendall CA , et al. The use of Raman spectroscopy to identify and grade prostatic adenocarcinoma in vitro[J]. Br J Cancer, 2003, 89 (1): 106- 108. |
| 48 | Crow P , Barrass B , Kendall C , et al. The use of Raman spectroscopy to differentiate between different prostatic adenocarcinoma cell lines[J]. Br J Cancer, 2005, 92 (12): 2166- 2170. |
| 49 | Tollefson M , Magera J , Sebo T , et al. Raman spectral imaging of prostate cancer: Can Raman molecular imaging be used to augment standard histopathology?[J]. BJU Int, 2010, 106 (4): 484- 488. |
| 50 | Li S , Zhang Y , Xu J , et al. Noninvasive prostate cancer screening based on serum surface-enhanced Raman spectroscopy and support vector machine[J]. Applied Physics Letters, 2014, 105 (9): 091104. |
| 51 | Chen N , Rong M , Shao X , et al. Surface-enhanced Raman spectroscopy of serum accurately detects prostate cancer in patients with prostate-specific antigen levels of 4-10 ng/mL[J]. Int J Nanomedicine, 2017, 12, 5399- 5407. |
| 52 | Gao R , Lv Z , Mao Y , et al. SERS-based pump-free microfluidic chip for highly sensitive immunoassay of prostate-specific antigen biomarkers[J]. ACS Sens, 2019, 4 (4): 938- 943. |
| 53 | Dong S , Wang Y , Liu Z , et al. Beehive-inspired macroporous SERS probe for cancer detection through capturing and analyzing exosomes in plasma[J]. ACS Appl Mater Interfaces, 2020, 12 (4): 5136- 5146. |
| 54 | Cui X , Liu T , Xu X , et al. Label-free detection of multiple genitourinary cancers from urine by surface-enhanced Raman spectroscopy[J]. Spectrochim Acta A Mol Biomol Spectrosc, 2020, 240, 118543. |
| 55 | Del Mistro G , Cervo S , Mansutti E , et al. Surface-enhanced Raman spectroscopy of urine for prostate cancer detection: A preliminary study[J]. Anal Bioanal Chem, 2015, 407 (12): 3271- 3275. |
/
| 〈 |
|
〉 |