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Open Access 01-12-2018

Applications of Raman spectroscopy in cancer diagnosis

Authors: Gregory W. Auner, S. Kiran Koya, Changhe Huang, Brandy Broadbent, Micaela Trexler, Zachary Auner, Angela Elias, Katlyn Curtin Mehne, Michelle A. Brusatori

Published in: Cancer and Metastasis Reviews | Issue 4/2018

Abstract

Novel approaches toward understanding the evolution of disease can lead to the discovery of biomarkers that will enable better management of disease progression and improve prognostic evaluation. Raman spectroscopy is a promising investigative and diagnostic tool that can assist in uncovering the molecular basis of disease and provide objective, quantifiable molecular information for diagnosis and treatment evaluation. This technique probes molecular vibrations/rotations associated with chemical bonds in a sample to obtain information on molecular structure, composition, and intermolecular interactions. Raman scattering occurs when light interacts with a molecular vibration/rotation and a change in polarizability takes place during molecular motion. This results in light being scattered at an optical frequency shifted (up or down) from the incident light. By monitoring the intensity profile of the inelastically scattered light as a function of frequency, the unique spectroscopic fingerprint of a tissue sample is obtained. Since each sample has a unique composition, the spectroscopic profile arising from Raman-active functional groups of nucleic acids, proteins, lipids, and carbohydrates allows for the evaluation, characterization, and discrimination of tissue type. This review provides an overview of the theory of Raman spectroscopy, instrumentation used for measurement, and variation of Raman spectroscopic techniques for clinical applications in cancer, including detection of brain, ovarian, breast, prostate, and pancreatic cancers and circulating tumor cells.

Atkins, P. W. (1994). Physical chemistry (5th ed.). New York: W. H. Freeman.

Hecht, E. (1998). Optics (3rd ed.). New York: Addison-Wesley.

Raman, C. V. (1928). A new radiation. Indian Journal of Physics, 2, 387–398.

Chase, B. (1994). A new generation of Raman instrumentation. Applied Spectroscopy, 48(7), 14A–19A.CrossRef

Bernath, P. F. (2005). Light scattering and the Raman effect. In P. F. Bernath (Ed.), Spectra of atoms and molecules (2nd ed., pp. 293–317). New York: Oxford University Press Inc.

Ferraro, J. R., Nakamoto, K., & Brown, C. W. (2003). Introductory Raman spectroscopy (2nd ed.). San Diego: Academic.

Abramczyk, H. (2005). Introduction to laser spectroscopy. New York: Elsevier Science Ltd..

Hollas, J. M. (2004). Modern spectroscopy (4th ed.). New York: Wiley.

Bradley, M. (2018). Curve fitting in Raman and IR spectroscopy: basic theory of line shapes and applications. Application note:50733. Thermo Fisher Scientific. https://assets.thermofisher.com/TFS-Assets/CAD/Application-Notes/AN50733_E.pdf. Accessed 13 May 2018.

10.

Xie, W., & Schlucker, S. (2013). Medical applications of surface-enhanced Raman scattering. Physical Chemistry Chemical Physics, 15, 5329–5344.CrossRefPubMed

11.

Muehlethaler, C., Leona, M., & Lombardi, J. R. (2016). Review of surface enhanced Raman scattering applications in forensic science. Analytical Chemistry, 88(1), 152–169.CrossRefPubMed

12.

Kambhampati, P., Child, C. M., Foster, M. C., & Campion, A. (1998). On the chemical mechanism of surface enhanced Raman scattering: experiment and theory. Journal of Chemical Physics, 108(12), 5013–5026.CrossRef

13.

Zhang, Z., Sheng, S., Wang, R., & Sun, M. (2016). Tip-enhanced Raman spectroscopy. Analytical Chemistry, 88(19), 9328–9346. https://doi.org/10.1021/acs.analchem.6b02093.CrossRefPubMed

14.

Scherger, J. D., & Foster, M. D. (2017). Tunable, liquid resistant tip enhanced Raman spectroscopy probes: toward label-free nano-resolved imaging of biological systems. Langmuir, 33(31), 7818–7825. https://doi.org/10.1021/acs.langmuir.7b01338.CrossRefPubMed

15.

Kumar, N., Mignuzzi, S., Su, W., & Roy, D. (2015). Tip-enhanced Raman spectroscopy: principles and applications. EPJ Techniques and Instrumentation, 2(1), 9.CrossRef

16.

Deckert-Gaudig, T., Taguchi, A., Kawata, S., & Deckert, V. (2017). Tip-enhanced Raman spectroscopy—from early developments to recent advances. Chemical Society Reviews, 46(13), 4077–4110.CrossRefPubMed

17.

Meyer, R., Yao, X., & Deckert, V. (2018). Latest instrumental developments and bioanalytical applications in tip-enhanced Raman spectroscopy. TrAC Trends in Analytical Chemistry, 102, 250–258.

18.

Asher, S. A. (1998). UV resonance Raman studies of molecular structure and dynamics: applications in physical and biophysical chemistry. Annual Review of Physical Chemistry, 39(1), 537–588.CrossRef

19.

McNay, G., Eustace, D., Smith, W. E., Faulds, K., & Graham, D. (2011). Surface-enhanced Raman scattering (SERS) and surface-enhanced resonance Raman scattering (SERRS): a review of applications. Applied Spectroscopy, 65(8), 825–837.CrossRefPubMed

20.

Matousek, P., Morris, M. D., Everall, N., Clark, I. P., Towrie, M., Draper, E., Goodship, A., & Parker, A. W. (2005). Numerical simulations of subsurface probing in diffusely scattering media using spatially offset Raman spectroscopy. Applied Spectroscopy, 59, 1485–1492.CrossRefPubMed

21.

Buckley, K., Kerns, J. G., Parker, A. W., Goodship, A. E., & Matousek, P. (2014). Decomposition of in vivo spatially offset Raman spectroscopy data using multivariate analysis techniques. Journal of Raman Spectroscopy, 45(2), 188–192.CrossRef

22.

Keller, M. D., Wilson, R. H., Mycek, M. A., & Mahadevan-Jansen, A. (2010). Monte Carlo model of spatially offset Raman spectroscopy for breast tumor margin analysis. Applied Spectroscopy, 64(6), 607–614.CrossRefPubMed

23.

Matousek, P., & Stone, N. (2008). Advanced transmission Raman spectroscopy: a promising tool for breast disease diagnosis. Cancer Research., 68(11), 4424–4430.CrossRefPubMed

24.

Zumbusch, A., & Müller, M. (2007). Coherent anti-Stokes Raman scattering microscopy. ChemPhysChem, 8(15), 2156–2170.CrossRefPubMed

25.

Camp Jr., C. H., Lee, Y. J., Heddleston, J. M., Hartshorn, C. M., Hight Walker, A. R., Rich, J. N., Lathia, J. D., & Cicerone, M. T. (2014). High-speed coherent Raman fingerprint imaging of biological tissues. Nature Photonics, 8(8), 627–634.CrossRefPubMedPubMedCentral

26.

Freudiger, C. W., Min, W., Saar, B. G., Lu, S., Holtom, G. R., He, C., Tsai, J. C., Kang, J. X., & Xie, X. S. (2008). Label-free biomedical imaging with high sensitivity by stimulated Raman scattering microscopy. Science, 322(5909), 1857–1861.CrossRefPubMedPubMedCentral

27.

Freudiger, C. W., & Xie, X. S. (2011). In vivo imaging with stimulated Raman scattering microscopy. Optics and Photonics News, 22(12), 27–27.CrossRef

28.

Siegel, R. L., Miller, K. D., & Jemal, A. (2017). Cancer statistics, 2017. CA: a Cancer Journal for Clinicians, 67(1), 7–30. https://doi.org/10.3322/caac.21387.CrossRef

29.

Ostrom, Q. T., Gittleman, H., Liao, P., Vecchione-Koval, T., Wolinsky, Y., Kruchko, C., & Barnholtz-Sloan, J. S. (2017). CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2010–2014. Neuro-oncology, 19(suppl_5), v1–v88. https://doi.org/10.1093/neuonc/nox158.CrossRefPubMedPubMedCentral

30.

Petrecca, K., Guiot, M.-C., Panet-Raymond, V., & Souhami, L. (2013). Failure pattern following complete resection plus radiotherapy and temozolomide is at the resection margin in patients with glioblastoma. Journal of Neuro-Oncology, 111(1), 19–23.CrossRefPubMed

31.

Stummer, W., Meinel, T., Ewelt, C., Martus, P., Jakobs, O., Felsberg, J., & Reifenberger, G. (2012). Prospective cohort study of radiotherapy with concomitant and adjuvant temozolomide chemotherapy for glioblastoma patients with no or minimal residual enhancing tumor load after surgery. Journal of Neuro-Oncology, 108(1), 89–97.CrossRefPubMedPubMedCentral

32.

Riva, M., Hennersperger, C., Milletari, F., Katouzian, A., Pessina, F., Gutierrez-Becker, B., … Bello, L. (2017). 3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation. International Journal of Computer Assisted Radiology and Surgery, 12(10), 1711–1725. https://doi.org/10.1007/s11548-017-1578-5.

33.

Jermyn, M., Mok, K., Mercier, J., Desroches, J., Pichette, J., Saint-Arnaud, K., … Leblond, F. (2015). Intraoperative brain cancer detection with Raman spectroscopy in humans. Science Translational Medicine, 7(274), 274ra219–274ra219. https://doi.org/10.1126/scitranslmed.aaa2384.

34.

Jermyn, M., Desroches, J., Mercier, J., St-Arnaud, K., Guiot, M. C., Leblond, F., & Petrecca, K. (2016). Raman spectroscopy detects distant invasive brain cancer cells centimeters beyond MRI capability in humans. Biomedical Optics Express, 7(12), 5129–5137. https://doi.org/10.1364/BOE.7.005129.CrossRefPubMedPubMedCentral

35.

Kast, R., Auner, G., Yurgelevic, S., Broadbent, B., Raghunathan, A., Poisson, L. M., … Kalkanis, S. N. (2015). Identification of regions of normal grey matter and white matter from pathologic glioblastoma and necrosis in frozen sections using Raman imaging. Journal of Neuro-Oncology, 125(2), 287–295. https://doi.org/10.1007/s11060-015-1929-4.

36.

Beljebbar, A., Dukic, S., Amharref, N., & Manfait, M. (2010). Ex vivo and in vivo diagnosis of C6 glioblastoma development by Raman spectroscopy coupled to a microprobe. Analytical and Bioanalytical Chemistry, 398(1), 477–487.CrossRefPubMed

37.

Desroches, J., Jermyn, M., Mok, K., Lemieux-Leduc, C., Mercier, J., St-Arnaud, K., … Petrecca, K. (2015). Characterization of a Raman spectroscopy probe system for intraoperative brain tissue classification. Biomedical Optics Express, 6(7), 2380–2397.

38.

Tanahashi, K., Natsume, A., Ohka, F., Momota, H., Kato, A., Motomura, K., … Saito, Y. (2014). Assessment of tumor cells in a mouse model of diffuse infiltrative glioma by Raman spectroscopy. BioMed Research International, 2014.

39.

Kast, R. E., Auner, G. W., Rosenblum, M. L., Mikkelsen, T., Yurgelevic, S. M., Raghunathan, A., … Kalkanis, S. N. (2014). Raman molecular imaging of brain frozen tissue sections. Journal of Neuro-Oncology, 120(1), 55–62.

40.

Kalkanis, S. N., Kast, R. E., Rosenblum, M. L., Mikkelsen, T., Yurgelevic, S. M., Nelson, K. M., et al. (2014). Raman spectroscopy to distinguish grey matter, necrosis, and glioblastoma multiforme in frozen tissue sections. Journal of Neuro-Oncology, 116(3), 477–485.CrossRefPubMed

41.

Gajjar, K., Heppenstall, L. D., Pang, W., Ashton, K. M., Trevisan, J., Patel, I. I., … Dawson, T. (2013). Diagnostic segregation of human brain tumours using Fourier-transform infrared and/or Raman spectroscopy coupled with discriminant analysis. Analytical Methods, 5(1), 89–102.

42.

Daković, M., Stojiljković, A. S., Bajuk-Bogdanović, D., Starčević, A., Puškaš, L., Filipović, B., … Holclajtner-Antunović, I. (2013). Profiling differences in chemical composition of brain structures using Raman spectroscopy. Talanta, 117, 133–138. https://doi.org/10.1016/j.talanta.2013.08.058.

43.

Leslie, D. G., Kast, R. E., Poulik, J. M., Rabah, R., Sood, S., Auner, G. W., & Klein, M. D. (2012). Identification of pediatric brain neoplasms using Raman spectroscopy. Pediatric Neurosurgery, 48(2), 109–117. https://doi.org/10.1159/000343285.CrossRefPubMed

44.

Bergner, N., Bocklitz, T., Romeike, B. F., Reichart, R., Kalff, R., Krafft, C., & Popp, J. (2012). Identification of primary tumors of brain metastases by Raman imaging and support vector machines. Chemometrics and Intelligent Laboratory Systems, 117, 224–232.CrossRef

45.

Desroches, J., Jermyn, M., Pinto, M., Picot, F., Tremblay, M. A., Obaid, S., … Leblond, F. (2018). A new method using Raman spectroscopy for in vivo targeted brain cancer tissue biopsy. Scientific Reports, 8, 1–10. https://doi.org/10.1038/s41598-018-20233-3.

46.

Aydin, O., Altas, M., Kahraman, M., Bayrak, O. F., & Culha, M. (2009). Differentiation of healthy brain tissue and tumors using surface-enhanced Raman scattering. Applied Spectroscopy, 63(10), 1095–1100. https://doi.org/10.1366/000370209789553219.CrossRefPubMed

47.

Kircher, M. F., De La Zerda, A., Jokerst, J. V., Zavaleta, C. L., Kempen, P. J., Mittra, E., … Gambhir, S. S. (2012). A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle. Nature Medicine, 18(5), 829–834. https://doi.org/10.1038/nm.2721.

48.

Sun, C., Gao, M., & Zhang, X. (2017). Surface-enhanced Raman scattering (SERS) imaging-guided real-time photothermal ablation of target cancer cells using polydopamine-encapsulated gold nanorods as multifunctional agents. Analytical and Bioanalytical Chemistry, 409(20), 4915–4926. https://doi.org/10.1007/s00216-017-0435-2.CrossRefPubMed

49.

Diaz, R. J., McVeigh, P. Z., O'Reilly, M. A., Burrell, K., Bebenek, M., Smith, C., … Rutka, J. T. (2014). Focused ultrasound delivery of Raman nanoparticles across the blood-brain barrier: potential for targeting experimental brain tumors. Nanomedicine-Nanotechnology Biology and Medicine, 10(5), 1075–1087. https://doi.org/10.1016/j.nano.2013.12.006.

50.

Karabeber, H., Huang, R. M., Iacono, P., Samii, J. M., Pitter, K., Holland, E. C., & Kircher, M. F. (2014). Guiding brain tumor resection using surface-enhanced Raman scattering nanoparticles and a hand-held Raman scanner. ACS Nano, 8(10), 9755–9766. https://doi.org/10.1021/nn503948b.CrossRefPubMedPubMedCentral

51.

Gao, X., Yue, Q., Liu, Z., Ke, M., Zhou, X., Li, S., … Li, C. (2017). Guiding brain-tumor surgery via blood–brain-barrier-permeable gold nanoprobes with acid-triggered MRI/SERRS signals. Advanced Materials, 29(21). https://doi.org/10.1002/adma.201603917.

52.

Huang, R. M., Harmsen, S., Samii, J. M., Karabeber, H., Pitter, K. L., Holland, E. C., & Kircher, M. F. (2016). High precision imaging of microscopic spread of glioblastoma with a targeted ultrasensitive SERRS molecular imaging probe. Theranostics, 6(8), 1075–1084. https://doi.org/10.7150/thno.13842.CrossRefPubMedPubMedCentral

53.

Yue, Q., Gao, X. H., Yu, Y., Li, Y., Hua, W., Fan, K., … Mao, Y. (2017). An EGFRvIII targeted dual-modal gold nanoprobe for imaging-guided brain tumor surgery. Nanoscale, 9(23), 7930–7940. https://doi.org/10.1039/c7nr01077j.

54.

Evans, C. L., Xu, X., Kesari, S., Xie, X. S., Wong, S. T. C., & Young, G. S. (2007). Chemically-selective imaging of brain structures with CARS microscopy. Optics Express, 15(19), 12076–12087. https://doi.org/10.1364/OE.15.012076.CrossRefPubMed

55.

Uckermann, O., Galli, R., Tamosaityte, S., Leipnitz, E., Geiger, K. D., Schackert, G., … Kirsch, M. (2014). Label-free delineation of brain tumors by coherent anti-Stokes Raman scattering microscopy in an orthotopic mouse model and human glioblastoma. PLoS One, 9(9), e107115. https://doi.org/10.1371/journal.pone.0107115.

56.

Meyer, T., Bergner, N., Krafft, C., Akimov, D., Dietzek, B., Popp, J., … Kalff, R. (2011). Nonlinear microscopy, infrared, and Raman microspectroscopy for brain tumor analysis. Journal of Biomedical Optics, 16(2), 021113. https://doi.org/10.1117/1.3533268.

57.

Galli, R., Uckermann, O., Temme, A., Leipnitz, E., Meinhardt, M., Koch, E., … Kirsch, M. (2017). Assessing the efficacy of coherent anti-Stokes Raman scattering microscopy for the detection of infiltrating glioblastoma in fresh brain samples. Journal of Biophotonics, 10(3), 404–414. https://doi.org/10.1002/jbio.201500323.

58.

Romeike, B. F. M., Meyer, T., Reichart, R., Kalff, R., Petersen, I., Dietzek, B., & Popp, J. (2015). Coherent anti-Stokes Raman scattering and two photon excited fluorescence for neurosurgery. Clinical Neurology and Neurosurgery, 131, 42–46. https://doi.org/10.1016/j.clineuro.2015.01.022.CrossRefPubMed

59.

Camp Jr, C. H., Lee, Y. J., Heddleston, J. M., Hartshorn, C. M., Walker, A. R. H., Rich, J. N., … Cicerone, M. T. (2014). High-speed coherent Raman fingerprint imaging of biological tissues. https://doi.org/10.1038/nphoton.2014.145.

60.

Le, V. H., Yoo, S. W., Yoon, Y., Wang, T., Kim, B., Lee, S., … Chung, E. (2017). Brain tumor delineation enhanced by moxifloxacin-based two-photon/CARS combined microscopy. Biomedical Optics Express, 8(4), 2148–2161. https://doi.org/10.1364/BOE.8.002148.

61.

Ji, M., Orringer, D. A., Freudiger, C. W., Ramkissoon, S., Liu, X., Lau, D., … Xie, X. S. (2013). Rapid, label-free detection of brain tumors with stimulated Raman scattering microscopy. Science Translational Medicine, 5(201), 201ra119. https://doi.org/10.1126/scitranslmed.3005954.

62.

Ji, M. B., Lewis, S., Camelo-Piragua, S., Ramkissoon, S. H., Snuderl, M., Venneti, S., … Orringer, D. A. (2015). Detection of human brain tumor infiltration with quantitative stimulated Raman scattering microscopy. Science Translational Medicine, 7(309), 309ra163. https://doi.org/10.1126/scitranslmed.aab0195.

63.

Holton, T. C., Lewis, S., Pandian, B., Niknafs Y. S., Garrard, M. R., Garton, H., … , Orringer D. A. (2018). Rapid intraoperative diagnosis of pediatric brain tumors using stimulated Raman histology. Cancer Research, 78(1), 278–289. https://doi.org/10.1158/0008-5472.CAN-17-1974.

64.

Lu, F.-K., et al. (2016). Label-free neurosurgical pathology with stimulated Raman imaging. Cancer Research, 76(12), 3451–3462.CrossRefPubMedPubMedCentral

65.

Orringer, D. A., Pandian, B., Niknafs, Y. S., Hollon, T. C., Boyle, J., Lewis, S., … Camelo-Piragua, S. (2017). Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy. Nature Biomedical Engineering, 1, 0027. https://doi.org/10.1038/s41551-016-0027. https://www.nature.com/articles/s41551-016-0027#supplementary-information.

66.

The American Cancer Society medical and editorial team (2018). Key statistics for ovarian cancer. Resource document. The American Cancer Society. https://www.cancer.org/cancer/ovarian-cancer/about/key-statistics.html. Accessed Mar 2018.

67.

The American Cancer Society medical and editorial content team (2016). Survival rate for ovarian cancer, by stage. Resource document. American Cancer Society. https://www.cancer.org/cancer/ovarian-cancer/detection-diagnosis-staging/survival-rates.html. Accessed Mar 2018.

68.

Staff, N. (2017). Many ovarian cancers may start in fallopian tubes, study finds. Resource document. National Cancer Institute. https://www.cancer.gov/news-events/cancer-currents-blog/2017/ovarian-cancer-fallopian-tube-origins. Accessed Mar 2018.

69.

Maheedhar, K., Brat, R. A., Malini, R., Prathima, N., Keerthi, P., & Kushtago, P. (2008). Diagnosis of ovarian cancer by Raman spectroscopy: a pilot study. Photomedicine and Laser Surgery, 26(2), 83–90.CrossRefPubMed

70.

Parker, F. S. (1983). Applications of infrared, Raman, and resonance. In Raman spectroscopy in biochemistry. New York: Plenum.

71.

Tonge, P., & Carey, P. (1993). In: Biomoecular spectroscopy part A, advances in spectroscopy. Chapter 3 (pp. 129–133). Chichester: Wiley.

72.

Oseledchyk, A., Andreou, C., Wall, M. A., & Kircher, M. F. (2017). Folate-targeted surface-enhanced resonance Raman scattering nanoprobe ratiometry for detection of microscopic ovarian cancer. ACS Nano, 11(2), 1488–1497.CrossRefPubMedPubMedCentral

73.

Lengyel, E. (2010). Ovarian cancer development and metastasis. The American Journal of Pathology, 177(3), 1053–1064.CrossRefPubMedPubMedCentral

74.

Vergote, I. B., Marth, C., & Coleman, R. L. (2015). Role of the folate receptor in ovarian cancer treatment: evidence, mechanism, and clinical applications. Cancer and Metastasis Reviews, 34(1), 41–52.CrossRefPubMed

75.

Goff, B. A., Agnew, K., Neradilek, M. B., Gray, H. J., Liao, J. B., & Urban, R. R. (2017). Combining a symptom index, CA125 and HE4 (triple screen) to detect ovarian cancer in women with a pelvic mass. Gynecologic Oncology, 147(2), 291–295.CrossRefPubMed

76.

Jacobs, I. J., & Menon, U. (2004). Progress and challenges in screening for early detection of ovarian cancer. Molecular and Cellular Proteomics, 3(4), 355–366.CrossRefPubMed

77.

Ullah, I., Ahmad, I., Nisar, H., Khan, S., Ullah, R., & Mahmood, H. (2016). Computer assisted optical screening of human ovarian cancer using Raman spectroscopy. Photodiagnosis and Photodynamic Therapy, 15, 94–99.CrossRefPubMed

78.

Stone, N., Kendell, C., Smith, J., Crow, P., & Barr, H. (2003). Raman spectroscopy for identification of epithelial cancers. The Royal Society of Chemistry, 126, 141–157.

79.

Jenkins, A. L., Larsen, R. A., & Williams, T. B. (2005). Characterization of amino acids using Raman spectroscopy. Spectrochimica Acta Part A: A Molecular and Biomolecular Spectroscopy, 61(7), 1585–1594.CrossRef

80.

Li, J., Dowdy, S., Tipton, T., Podratz, K., Lu, W. G., Xie, X., et al. (2014). HE4 as a biomarker for ovarian and endometrial cancer management. Expert Review of Molecular Diagnostics, 9(6), 555–566.CrossRef

81.

Zhao, C., Annamalai, L., Guo, C., Kothandaraman, N., Koh, S., Zhang, H., et al. (2007). Circulating haptoglobin is an independent prognostic factor in the sera of patients with epithelial ovarian cancer. Neoplasia, 9(1), 1–7.CrossRefPubMedPubMedCentral

82.

Schorge, J. O., Drake, R. D., Lee, H., Skates, S. J., Rajanbabu, R., Miller, D. S., et al. (2004). Osteopontin as an adjunct to CA125 in detecting recurrent ovarian cancer. Clinical Cancer Research, 10, 3474–3478.CrossRefPubMed

83.

Hassan, R., Remaley, A. T., Sampson, M. L., Zhang, J., Cox, D. D., Pingpank, J., et al. (2006). Detection and quantitation of serum mesothelin, a tumor marker for patients with mesothelioma and ovarian cancer. Imaging, Diagnosis, Prognosis, 12(2), 447–453.

84.

Moradi, H., Ahmad, A., Sheperdson, D., Vuong, N. H., Niedbala, G., Libni, E., et al. (2017). Raman micro-spectroscopy applied to treatment resistant and sensitive human ovarian cancer cells. Journal of Biophotonics, 10, 1327–1334.CrossRefPubMed

85.

Beier, B. D., & Berger, A. J. (2009). Method for automated background subtraction from Raman spectra containing known contaminants. Analyst, 134(6), 1198–1202.CrossRefPubMed

86.

De Gelder, J., De Gussem, K., Vandenabeele, P., & Moens, L. (2007). Reference database of Raman spectra of biological molecules. Journal of Raman Spectroscopy, 38(9), 1133–1147.CrossRef

87.

Godwin, A. K., Meister, A., O’Dwyer, P. J., Huang, C. S., Hamilton, T. C., & Anderson, M. E. (1992). High resistance to cisplatin in human ovarian cancer cell lines is associated with marked increase of glutathione synthesis. Proceedings of the National Academy of Sciences of the United States of America, 89(7), 3070–3074.CrossRefPubMedPubMedCentral

88.

Hamilton, T. C., Winker, M. A., Louie, K. G., Batist, G., Behrens, B. C., Tsuruo, T., et al. (1985). Augmentation of adriamycin, melphalan, and cisplatin cytotoxicity in drug-resistant and -sensitive human ovarian carcinoma cell lines by buthionine sulfoximine mediated glutathione depletion. Biochemical Pharmacology, 34(15), 2583–2586.CrossRefPubMed

89.

Behrens, B. C., Hamilton, T. C., Masuda, H., Grotzinger, K. R., Whang-Peng, J., Louie, K. G., et al. (1987). Characterization of a cis-diamminedichloroplatinum (II)-resistant human ovarian cancer cell line and its use in evaluation of platinum analogues. Cancer Research, 47, 414–418.PubMed

90.

Key statistics for prostate cancer (2016). https://www.cancer.org/cancer/prostate-cancer/about/key-statistics.html. Accessed 28 Mar 2018.

91.

Survival rates for prostate cancer (2017). https://www.cancer.org/cancer/prostate-cancer/detection-diagnosis-staging/survival-rates.html. Accessed 28 Mar 2018.

92.

Kast, R. E., Tucker, S. C., Killian, K., Trexler, M., Honn, K. V., & Auner, G. W. (2014). Emerging technology: applications of Raman spectroscopy for prostate cancer. Cancer and Metastasis Reviews, 33(2–3), 673–693.CrossRefPubMed

93.

McAughtrie, S., Faulds, K., & Graham, D. (2014). Surface enhanced Raman spectroscopy (SERS): potential applications for disease detection and treatment. Journal of Photochemistry and Photobiology C: Photochemistry Reviews, 21, 40–53.CrossRef

94.

Kong, K., Kendall, C., Stone, N., & Notingher, I. (2015). Raman spectroscopy for medical diagnostics—from in-vitro biofluid assays to in-vivo cancer detection. Advanced Drug Delivery Reviews, 89, 121–134.CrossRefPubMed

95.

Corsetti, S., Rabl, T., McGloin, D., & Nabi, G. (2018). Raman spectroscopy for accurately characterizing biomolecular changes in androgen-independent prostate cancer cells. Journal of Biophotonics, 11(3).

96.

Aubertin, K., Trinh, V. Q., Jermyn, M., Baksic, P., Grosset, A. A., Desroches, J., et al. Mesoscopic characterization of prostate cancer using Raman spectroscopy: potential for diagnostics and therapeutics. BJU International.

97.

Lernhardt, W., Fiedler, M., Lasitschka, F., Kremling, H., Zinnhammer, F., Autschbach, F., et al. (2016). Raman micro-spectroscopy: potential for diagnosis and prediction of prostate cancer outcome. European Urology Supplements, 15(6), 145–146.CrossRef

98.

Li, S., Zhang, Y., Xu, J., Li, L., Zeng, Q., Lin, L., et al. (2014). Noninvasive prostate cancer screening based on serum surface-enhanced Raman spectroscopy and support vector machine. Applied Physics Letters, 105(9), 091104.CrossRef

99.

Medipally, D. K., Maguire, A., Bryant, J., Armstrong, J., Dunne, M., Finn, M., et al. (2017). Development of a high throughput (HT) Raman spectroscopy method for rapid screening of liquid blood plasma from prostate cancer patients. Analyst, 142(8), 1216–1226.CrossRefPubMed

100.

Del Mistro, G., Cervo, S., Mansutti, E., Spizzo, R., Colombatti, A., Belmonte, P., et al. (2015). Surface-enhanced Raman spectroscopy of urine for prostate cancer detection: a preliminary study. Analytical and Bioanalytical Chemistry, 407(12), 3271–3275.CrossRefPubMed

101.

Harmsen, S., Huang, R., Wall, M. A., Karabeber, H., Samii, J. M., Spaliviero, M., et al. (2015). Surface-enhanced resonance Raman scattering nanostars for high-precision cancer imaging. Science Translational Medicine, 7(271), 271ra277.CrossRef

102.

Andreou, C., Kishore, S. A., & Kircher, M. F. (2015). Surface-enhanced Raman spectroscopy: a new modality for cancer imaging. Journal of Nuclear Medicine, 56(9), 1295–1299.CrossRefPubMed

103.

Lindahl, O. A., Nyberg, M., Jalkanen, V., & Ramser, K. (2015). Prostate cancer detection using a combination of Raman spectroscopy and stiffness sensing. In: 1st global conference on biomedical engineering & 9th Asian-Pacific conference on medical and biological engineering (pp. 267–270). Springer.

104.

Nyberg, M., Jalkanen, V., Ramser, K., Ljungberg, B., Bergh, A., & Lindahl, O. A. (2015). Dual-modality probe intended for prostate cancer detection combining Raman spectroscopy and tactile resonance technology—discrimination of normal human prostate tissues ex vivo. Journal of Medical Engineering & Technology, 39(3), 198–207.CrossRef

105.

Key statistics for pancreatic cancer (2016). https://www.cancer.org/cancer/pancreatic-cancer/about/key-statistics.html. Accessed 27 Apr 2018.

106.

Pancreatic cancer survival rate (2016). https://www.cancer.org/cancer/pancreatic-cancer/detection-diagnosis-staging/survival-rates.html. Accessed 27 Apr 2018.

107.

Types of pancreatic cancer (2019). https://www.pancan.org/facing-pancreatic-cancer/about-pancreatic-cancer/types-of-pancreatic-cancer. Accessed 27 Apr 2018.

108.

Schie, I. W., Kiselev, R., Krafft, C., & Poppa, J. (2016). Rapid acquisition of mean Raman spectra of eukaryotic cells for a robust single cell classification. Analyst, 141(23), 6387–6395.CrossRefPubMed

109.

Li, J., Gu, D., Lee, S. S. Y., Song, B., Bandyopadhyay, S., Chen, S., Konieczny, S. F., Ratliff, T. L., Liu, X., Xie, J., & Cheng, J. X. (2016). Abrogating cholesterol esterification suppresses growth and metastasis of pancreatic cancer. Oncogene, 35(50), 6378–6388.CrossRefPubMedPubMedCentral

110.

Pandya, A. K., Serhatkulu, G. K., Cao, A., Kast, R. E., Dai, H., Rabah, R., Poulik, J., Banerjee, S., Naik, R., Adsay, V., Auner, G. W., Klein, M. D., Thakur, J. S., & Sarkar, F. H. (2008). Evaluation of pancreatic cancer with Raman spectroscopy in a mouse model. Pancreas, 36(2), e1–e8.CrossRefPubMed

111.

Harmsen, S., Ruimin Huang, R., Wall, M. A., Karabeber, H., Samii, J. M., Spaliviero, M., White, J. R., Monette, S., O’Connor, R., Pitter, K. L., Sastra, S. A., Saborowski, M., Holland, E. C., Singer, S., Olive, K. P., Lowe, S. W., Blasberg, R. G., & Kircher, M. F. (2015). Surface-enhanced resonance Raman scattering nanostars for high-precision cancer imaging. Science Translational Medicine, 7(271), 271ra7.CrossRefPubMedPubMedCentral

112.

CA 19-9: reference range, interpretation, collection and panels. (2016). Retrieved from https://emedicine.medscape.com/article/2087513-overview#a4. Accessed 27 Apr 2018.

113.

Wang, G., Lipert, R. J., Jain, M., Kaur, S., Chakraboty, S., Torres, M. P., Batra, S. K., Brand, R. E., & Porter, M. D. (2011). Detection of the potential pancreatic cancer marker MUC4 in serum using surface-enhanced Raman scattering. Analytical Chemistry, 83(7), 2554–2561.CrossRefPubMedPubMedCentral

114.

Banaei, N., Foley, A., Houghton, J. M., Sun, Y., & Byung Kim, B. (2017). Multiplex detection of pancreatic cancer biomarkers using a SERS-based immunoassay. Nanotechnology, 28, 455101.CrossRefPubMed

115.

Siegel, R. L., Miller, K. D., & Jemal, A. (2018). Cancer statistics, 2018. CA: a Cancer Journal for Clinicians, 68(1), 7–30. https://doi.org/10.3322/caac.21442.CrossRef

116.

Kamphausen, B. H., Toellner, T., & Ruschenburg, I. (2003). The value of ultrasound-guided fine-needle aspiration cytology of the breast: 354 cases with cytohistological correlation. Anticancer Research, 23(3C), 3009–3013.PubMed

117.

Morris, K. T., Vetto, J. T., Petty, J. K., Lum, S. S., Schmidt, W. A., Toth-Fejel, S., et al. (2002). A new score for the evaluation of palpable breast masses in women under age 40. American Journal of Surgery, 184(4), 346–347.CrossRefPubMed

118.

Steinberg, J. L., Trudeau, M. E., Ryder, D. E., Fishell, E., Chapman, J. A., McCready, D. R., et al. (1996). Combined fine-needle aspiration, physical examination and mammography in the diagnosis of palpable breast masses: their relation to outcome for women with primary breast cancer. Canadian Journal of Surgery, 39(4), 302–311.PubMedCentral

119.

Johnson, J. M., Dalton, R. R., Wester, S. M., Landercasper, J., & Lambert, P. J. (1999). Histological correlation of microcalcifications in breast biopsy specimens. Archives of Surgery, 134(7), 712–715 discussion 715-716.CrossRefPubMed

120.

Liu, C., Alfano, R., Sha, W., Zhu, H., Akins, D., Cleary, J., et al. (1991). Human breast tissues studied by IR Fourier-transform Raman spectroscopy. In: Conference on lasers and electro-optics (pp. CWF51). Optical Society of America.

121.

Bitar, R. A., Martinho Hda, S., Tierra-Criollo, C. J., Zambelli Ramalho, L. N., Netto, M. M., & Martin, A. A. (2006). Biochemical analysis of human breast tissues using Fourier-transform Raman spectroscopy. Journal of Biomedical Optics, 11(5), 054001. https://doi.org/10.1117/1.2363362.CrossRefPubMed

122.

Redd, D. C., Feng, Z. C., Yue, K. T., & Gansler, T. S. (1993). Raman spectroscopic characterization of human breast tissues: implications for breast cancer diagnosis. Applied Spectroscopy, 47(6), 787–791.CrossRef

123.

Frank, C. J., McCreery, R. L., & Redd, D. C. (1995). Raman spectroscopy of normal and diseased human breast tissues. Analytical Chemistry, 67(5), 777–783.CrossRefPubMed

124.

Manoharan, R., Wang, Y., & Feld, M. S. (1996). Histochemical analysis of biological tissues using Raman spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 52(2), 215–249.CrossRef

125.

Haka, A. S., Shafer-Peltier, K. E., Fitzmaurice, M., Crowe, J., Dasari, R. R., & Feld, M. S. (2002). Identifying microcalcifications in benign and malignant breast lesions by probing differences in their chemical composition using Raman spectroscopy. Cancer Research, 62(18), 5375–5380.PubMed

126.

Haka, A. S., Shafer-Peltier, K. E., Fitzmaurice, M., Crowe, J., Dasari, R. R., & Feld, M. S. (2005). Diagnosing breast cancer by using Raman spectroscopy. Proceedings of the National Academy of Sciences of the United States of America, 102(35), 12371–12376. https://doi.org/10.1073/pnas.0501390102.CrossRefPubMedPubMedCentral

127.

Haka, A. S., Volynskaya, Z., Gardecki, J. A., Nazemi, J., Lyons, J., Hicks, D., et al. (2006). In vivo margin assessment during partial mastectomy breast surgery using Raman spectroscopy. Cancer Research, 66(6), 3317–3322. https://doi.org/10.1158/0008-5472.CAN-05-2815.CrossRefPubMed

128.

Mohs, A. M., Mancini, M. C., Singhal, S., Provenzale, J. M., Leyland-Jones, B., Wang, M. D., et al. (2010). Hand-held spectroscopic device for in vivo and intraoperative tumor detection: contrast enhancement, detection sensitivity, and tissue penetration. Analytical Chemistry, 82(21), 9058–9065. https://doi.org/10.1021/ac102058k.CrossRefPubMed

129.

Saha, A., Barman, I., Dingari, N. C., McGee, S., Volynskaya, Z., Galindo, L. H., et al. (2011). Raman spectroscopy: a real-time tool for identifying microcalcifications during stereotactic breast core needle biopsies. Biomedical Optics Express, 2(10), 2792–2803. https://doi.org/10.1364/BOE.2.002792.CrossRefPubMedPubMedCentral

130.

Barman, I., Dingari, N. C., Saha, A., McGee, S., Galindo, L. H., Liu, W., et al. (2013). Application of Raman spectroscopy to identify microcalcifications and underlying breast lesions at stereotactic core needle biopsy. Cancer Research, 73(11), 3206–3215. https://doi.org/10.1158/0008-5472.CAN-12-2313.CrossRefPubMedPubMedCentral

131.

Baker, R., Matousek, P., Ronayne, K. L., Parker, A. W., Rogers, K., & Stone, N. (2007). Depth profiling of calcifications in breast tissue using picosecond Kerr-gated Raman spectroscopy. Analyst, 132(1), 48–53. https://doi.org/10.1039/b614388a.CrossRefPubMed

132.

Matousek, P., & Stone, N. (2007). Prospects for the diagnosis of breast cancer by noninvasive probing of calcifications using transmission Raman spectroscopy. Journal of Biomedical Optics, 12(2), 024008. https://doi.org/10.1117/1.2718934.CrossRefPubMed

133.

Keller, M. D., Majumder, S. K., & Mahadevan-Jansen, A. (2009). Spatially offset Raman spectroscopy of layered soft tissues. Optics Letters, 34(7), 926–928.CrossRefPubMed

134.

Keller, M. D., Vargis, E., de Matos Granja, N., Wilson, R. H., Mycek, M. A., Kelley, M. C., et al. (2011). Development of a spatially offset Raman spectroscopy probe for breast tumor surgical margin evaluation. Journal of Biomedical Optics, 16(7), 077006. https://doi.org/10.1117/1.3600708.CrossRefPubMedPubMedCentral

135.

Kerssens, M. M., Matousek, P., Rogers, K., & Stone, N. (2010). Towards a safe non-invasive method for evaluating the carbonate substitution levels of hydroxyapatite (HAP) in micro-calcifications found in breast tissue. Analyst, 135(12), 3156–3161. https://doi.org/10.1039/c0an00565g.CrossRefPubMed

136.

Kneipp, J., Schut, T. B., Kliffen, M., Menke-Pluijmers, M., & Puppels, G. (2003). Characterization of breast duct epithelia: a Raman spectroscopic study. Vibrational Spectroscopy, 32(1), 67–74.CrossRef

137.

Yu, G., Xu, X. X., Niu, Y., Wang, B., Song, Z. F., & Zhang, C. P. (2004). Studies on human breast cancer tissues with Raman microspectroscopy. Guang Pu Xue Yu Guang Pu Fen Xi, 24(11), 1359–1362.PubMed

138.

Yan, X. L., Dong, R. X., Wang, Q. G., Chen, S. F., Zhang, Z. W., Zhang, X. J., et al. (2005). Raman spectra of cell from breast cancer patients. Guang Pu Xue Yu Guang Pu Fen Xi, 25(1), 58–61.PubMed

139.

Yu, C., Gestl, E., Eckert, K., Allara, D., & Irudayaraj, J. (2006). Characterization of human breast epithelial cells by confocal Raman microspectroscopy. Cancer Detection and Prevention, 30(6), 515–522. https://doi.org/10.1016/j.cdp.2006.10.007.CrossRefPubMed

140.

Pichardo-Molina, J. L., Frausto-Reyes, C., Barbosa-Garcia, O., Huerta-Franco, R., Gonzalez-Trujillo, J. L., Ramirez-Alvarado, C. A., et al. (2007). Raman spectroscopy and multivariate analysis of serum samples from breast cancer patients. Lasers in Medical Science, 22(4), 229–236. https://doi.org/10.1007/s10103-006-0432-8.CrossRefPubMed

141.

Kast, R. E., Serhatkulu, G. K., Cao, A., Pandya, A. K., Dai, H., Thakur, J. S., et al. (2008). Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model. Biopolymers, 89(3), 235–241. https://doi.org/10.1002/bip.20899.CrossRefPubMed

142.

Brozek-Pluska, B., Musial, J., Kordek, R., Bailo, E., Dieing, T., & Abramczyk, H. (2012). Raman spectroscopy and imaging: applications in human breast cancer diagnosis. Analyst, 137(16), 3773–3780. https://doi.org/10.1039/c2an16179f.CrossRefPubMed

143.

Abramczyk, H., Brozek-Pluska, B., Surmacki, J., Jablonska-Gajewicz, J., & Kordek, R. (2012). Raman ‘optical biopsy’ of human breast cancer. Progress in Biophysics and Molecular Biology, 108(1–2), 74–81. https://doi.org/10.1016/j.pbiomolbio.2011.10.004.CrossRefPubMed

144.

Abramczyk, H., Surmacki, J., Kopec, M., Olejnik, A. K., Lubecka-Pietruszewska, K., & Fabianowska-Majewska, K. (2015). The role of lipid droplets and adipocytes in cancer. Raman imaging of cell cultures: MCF10A, MCF7, and MDA-MB-231 compared to adipocytes in cancerous human breast tissue. Analyst, 140(7), 2224–2235. https://doi.org/10.1039/c4an01875c.CrossRefPubMed

145.

Surmacki, J., Musial, J., Kordek, R., & Abramczyk, H. (2013). Raman imaging at biological interfaces: applications in breast cancer diagnosis. Molecular Cancer, 12, 48. https://doi.org/10.1186/1476-4598-12-48.CrossRefPubMedPubMedCentral

146.

Matthews, Q., Jirasek, A., Lum, J. J., & Brolo, A. G. (2011). Biochemical signatures of in vitro radiation response in human lung, breast and prostate tumour cells observed with Raman spectroscopy. Physics in Medicine and Biology, 56(21), 6839–6855. https://doi.org/10.1088/0031-9155/56/21/006.CrossRefPubMed

147.

Marro, M., Nieva, C., de Juan, A., & Sierra, A. (2018). Unravelling the metabolic progression of breast cancer cells to bone metastasis by coupling Raman spectroscopy and a novel use of MCR-ALS algorithm. Analytical Chemistry, 90(9), 5594–5602. https://doi.org/10.1021/acs.analchem.7b04527.CrossRefPubMed

148.

Shashni, B., Horiguchi, Y., Kurosu, K., Furusho, H., & Nagasaki, Y. (2017). Application of surface enhanced Raman spectroscopy as a diagnostic system for hypersialylated metastatic cancers. Biomaterials, 134, 143–153. https://doi.org/10.1016/j.biomaterials.2017.04.038.CrossRefPubMed

149.

Bi, X., Rexer, B., Arteaga, C. L., Guo, M., & Mahadevan-Jansen, A. (2014). Evaluating HER2 amplification status and acquired drug resistance in breast cancer cells using Raman spectroscopy. Journal of Biomedical Optics, 19(2), 025001. https://doi.org/10.1117/1.JBO.19.2.025001.CrossRefPubMedPubMedCentral

150.

Manciu, F. S., Ciubuc, J. D., Parra, K., Manciu, M., Bennet, K. E., Valenzuela, P., et al. (2017). Label-free Raman imaging to monitor breast tumor signatures. Technology in Cancer Research & Treatment, 16(4), 461–469. https://doi.org/10.1177/1533034616655953.CrossRef

151.

Hedegaard, M., Krafft, C., Ditzel, H. J., Johansen, L. E., Hassing, S., & Popp, J. (2010). Discriminating isogenic cancer cells and identifying altered unsaturated fatty acid content as associated with metastasis status, using k-means clustering and partial least squares-discriminant analysis of Raman maps. Analytical Chemistry, 82(7), 2797–2802. https://doi.org/10.1021/ac902717d.CrossRefPubMed

152.

Abramczyk, H., Surmacki, J., Kopec, M., Olejnik, A. K., Kaufman-Szymczyk, A., & Fabianowska-Majewska, K. (2016). Epigenetic changes in cancer by Raman imaging, fluorescence imaging, AFM and scanning near-field optical microscopy (SNOM). Acetylation in normal and human cancer breast cells MCF10A, MCF7 and MDA-MB-231. Analyst, 141(19), 5646–5658. https://doi.org/10.1039/c6an00859c.CrossRefPubMed

153.

Medeiros, P. S., Batista de Carvalho, A. L., Ruano, C., Otero, J. C., & Marques, M. P. (2016). Raman microspectroscopy for probing the impact of a dietary antioxidant on human breast cancer cells. Food & Function, 7(6), 2800–2810. https://doi.org/10.1039/c6fo00209a.CrossRef

154.

Mignolet, A., Wood, B. R., & Goormaghtigh, E. (2017). Intracellular investigation on the differential effects of 4 polyphenols on MCF-7 breast cancer cells by Raman imaging. Analyst, 143(1), 258–269. https://doi.org/10.1039/c7an01460k.CrossRefPubMed

155.

Williams, S. C. (2013). Circulating tumor cells. Proceedings of the National Academy of Sciences, 110(13), 4861–4862.CrossRef

156.

Plaks, V., Koopman, C. D., & Werb, Z. (2013). Circulating tumor cells. Science, 341(6151), 1186–1188.CrossRefPubMed

157.

Yu, M., Statt, S., Toner, M., Maheswaran, S., & Haber, D. A. (2011). Circulating tumor cells: approaches to isolation and characterization. Journal of Cell Biology, 192(3), 373–382.CrossRef

158.

Cohen, S. J., Punt, C. J., Iannotti, N., Saidman, B. H., Sabbath, K. D., Gabrail, N. Y., … Meropol, N. J. (2008). Relationship of circulating tumor cells to tumor response, progression-free survival, and overall survival in patients with metastatic colorectal cancer. Journal of Clinical Oncology, 26(19), 3213–3221.

159.

Cristofanilli, M., Budd, G. T., Ellis, M. J., Stopeck, A., Matera, J., Miller, M. C., … Hayes, D. F. (2004). Circulating tumor cells, disease progression, and survival in metastatic breast cancer. New England Journal of Medicine, (351), 781–791.

160.

de Bono, J. S., Scher, H. I., Montgomery, R. B., Parker, C., Miller, M. C., Tissing, H., … Raghavan, D. (2008). Circulating tumor cells predict survival benefit from treatment in metastatic castration-resistant prostate cancer. Clinical Cancer Research, 14(19), 6302–6309.

161.

Stott, S., Hsu, C.-H., Tsukrov, D. I., Yu, M., Miyamoto, D. T., Waltman, B. a., … Toner, M. (2010). Isolation of circulating tumor cells using a microvortex-generating herringbone-chip. Proceedings of the National Academy of Sciences of the United States of America, 107(43), 18392–18397.

162.

Lianidou, E. S., & Markou, A. (2011). Circulating tumor cells in breast cancer: detection systems, molecular characterization, and future challenges. Clinical Chemistry, 57(9), 1242–1255.CrossRefPubMed

163.

Paterlini-Brechot, P., & Benali, N. L. (2007). Circulating tumor cells (CTC) detection: clinical impact and future directions. Cancer Letters, 253, 180–204.CrossRefPubMed

164.

Sha, M. Y., Xu, H., Natan, M. J., & Cromer, R. (2008). Surface-enhanced Raman scattering tags for rapid and homogeneous detection of circulating tumor cells in the presence of human whole blood. Journal of American Chemical Society, 130(51), 17214–17215.CrossRef

165.

Vendrell, M., Maiti, K. K., Dhaliwal, K., & Chang, Y.-T. (2013). Surface-enhanced Raman scattering in cancer detection and imaging. Trends in Biotechnology, 31(4), 249–259.CrossRefPubMed

166.

Neugebauer, U., Bocklitz, T., Clement, J. H., Krafft, C., & Popp, J. (2010). Towards detection and identification of circulating tumour cells using Raman spectroscopy. Analyst, 135, 3178–3182.CrossRefPubMed

167.

Wang, X., Qian, X., Beitler, J., Chen, Z. G., Khuri, F. R., Lewis, M. M., … Shin, D. M. (2011). Detection of circulating tumor cells in human peripheral blood using surface-enhanced Raman scattering nannoparticles. Cancer Research, (71), 1526–1532.

168.

Ermakov, I. V., Sharifzadeh, M., & Gellermann, W. (2009). Raman spectroscopy of ocular tissue. In P. Matousek & M. D. Morris (Eds.), Emerging Raman applications and techniques in biomedical and pharmaceutical fields (pp. 285–314). Dordrecht: Springer.

169.

Hosseini, K., March, W., Jongsma, F., Hendrikse, F., & Motamedi, M. (2002). Noninvasive detection of ganciclovir in ocular tissue by raman spectroscopy: implication for monitoring of drug release. Journal of Ocular Pharmacology and Therapeutics, 277–285.

170.

Bauer, N., Motamedi, M., Wicksted, J. P., March, W. F., Webers, C., & Hendrikse, F. (1999). Non-invasive assessment of ocular pharmacokinetics using confocal Raman spectroscopy. Journal of Ocular Pharmacology and Therapeutics, 123–134.

171.

Warnakulasuriya, S. (2009). Global epidemiology of oral and oropharyngeal cancer. Oral Oncology, 45(4–5), 309–316. https://doi.org/10.1016/j.oraloncology.2008.06.002.CrossRefPubMed

172.

Sahu, A., Tawde, S., Pai, V., Gera, P., Chaturvedi, P., Nair, S., & Chilakapati, M. K. (2015). Raman spectroscopy and cytopathology of oral exfoliated cells for oral cancer diagnosis. Analytical Methods, 7, 7548–7559. https://doi.org/10.1039/C5AY00954E.CrossRef

173.

Barroso, E., Smits, R., Bakker Schut, T., ten Hove, I., Hardillo, J., Wolvius, E., … Puppels, G. (2015). Discrimination between oral cancer and healthy tissue based on water content determined by Raman spectroscopy. Analytical Chemistry, 87(4), 2419–2426. https://doi.org/10.1021/ac504362y.

174.

Singh, S., Deshmukh, A., Chaturvedi, P., & Chilakapati, M. K. (2012). In vivo Raman spectroscopy for oral cancers diagnosis. Proceedings of SPIE, 8219, 82190K1.CrossRef

Title: Applications of Raman spectroscopy in cancer diagnosis
Authors: Gregory W. Auner
S. Kiran Koya
Changhe Huang
Brandy Broadbent
Micaela Trexler
Zachary Auner
Angela Elias
Katlyn Curtin Mehne
Michelle A. Brusatori
Publication date: 01-12-2018
Publisher: Springer US
Published in: Cancer and Metastasis Reviews / Issue 4/2018
Print ISSN: 0167-7659
Electronic ISSN: 1573-7233
DOI: https://doi.org/10.1007/s10555-018-9770-9

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