拉曼光谱技术在乳腺癌临床应用方面的研究进展

doi:10.13481/j.1671-587x.20200235

摘要/Abstract

摘要： 拉曼光谱是在分子水平上反应物质本身的指纹光谱，可应用于乳腺疾病的预测、诊断和疗效判断。近年来拉曼光谱技术在临床应用中得到创新与延伸，通过计算处理方法、物理/化学方法和基于光学性质不同衍生的方法，例如表面增强拉曼光谱、共振拉曼光谱、移频激发差分拉曼光谱、相干拉曼散射光谱和空间偏移拉曼光谱等，可获得高信噪比的人乳腺癌细胞和组织拉曼光谱信息。研究人员通过研究乳腺癌的拉曼光谱特点，实现乳腺癌的早期诊断，从而降低乳腺癌患者的死亡率。通过分析乳腺癌患者病灶内生化成分的改变，评估恶性肿瘤的侵袭性、转移性和疗效，进而指导医生制定更精准的治疗方案。以新鲜乳腺组织拉曼光谱特征为标准构建的诊断模型，可以快速、客观、准确鉴别乳腺癌组织、良性病变与正常组织，实现即时、准确地判断保乳手术切缘，有效降低二次手术率，提高保乳手术成功率。现总结分析拉曼光谱技术在乳腺恶性疾病临床应用中的技术进展以及利用拉曼光谱对乳腺癌和正常乳腺组织的鉴别诊断，判断肿瘤恶性程度和手术切缘。

关键词: 拉曼光谱, 乳腺肿瘤, 早期诊断, 侵袭, 转移

中图分类号:

R737.9

申李胜男, 李思敏, 李倩, 麻帅, 韩冰. 拉曼光谱技术在乳腺癌临床应用方面的研究进展[J]. 吉林大学学报(医学版), 2020, 46(02): 413-418.

参考文献

[1] BRAY F, FERIAY J,SOERJOMATARAM I,et al. Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in countries[J].CA-Cancer J Clin,2018,68(6):394-424.
[2] FERLAY J, SOERJOMATARAM I, DIKSHIT R, et al. Cancer incidence and mortality worldwide:Sources, methods and major patterns in GLOBOCAN 2012[J]. Int J Cancer,2015, 136(5):E359-E386.
[3] TITLOYE N A, FOSTER A, OMONIYI-ESAN G O, et al. Histological features and tissue microarray taxonomy of nigerian breast cancer reveal predominance of the high-grade triple-negative phenotype[J]. Pathobiology, 2016, 83(1):24-32.
[4] TORRE L A, SIEGEL R L, WARD E M, et al. Global cancer incidence and mortality rates and trends-an update[J].Cancer Epidemiol Biomarkers Prev, 2016, 25(1):16-27.
[5] EDWARDS B L, ATKINS K A, STUKENBORG G J, et al. The association of mammographic density and molecular breast cancer subtype[J]. Cancer Epidemiol Biomarkers Prev, 2017, 26(10):1487-1492.
[6] LI X X, OPREA-ILIES G M, KRISHNAMURTI U. New developments in breast cancer and their impact on daily practice in pathology[J]. Arch Pathol Lab Med, 2017, 141(4):490-498.
[7] KONG K, KENDALL C, STONE N, et al. Raman spectroscopy for medical diagnostics——From in-vitro biofluid assays to in-vivo cancer detection[J]. Adv Drug Deliv Rev, 2015, 89:121-134.
[8] ALONSO-GONZÁLEZ P, ALBELLA P, SCHNELL M, et al. Resolving the electromagnetic mechanism of surface-enhanced light scattering at single hot spots[J]. Nat Commun, 2012, 3:684.
[9] KUKUSHKIN V I, VAN'KOV A B, KUKUSHKIN I V. Long-range manifestation of surface-enhanced Raman scattering[J]. JETP Lett,2013, 98(2):64-69.
[10] SINGH A K, KHAN S A, FAN Z, et al. Development of a long-range surface-enhanced Raman spectroscopy ruler[J].Am Chem Soc, 2012, 134(20):8662-8669.
[11] DIERINGER J A, MCFARLAND A D, SHAH N C, et al. Surface enhanced Raman spectroscopy:new materials, concepts, characterization tools, and applications[J]. Faraday Discuss, 2006, 132(6):9-26.
[12] DA SILVA MARTINS M A, RIBEIRO D G, PEREIRA DOS SANTOS E A, et al. Shifted-excitation Raman difference spectroscopy for in vitro and in vivo biological samples analysis[J]. Biomed Optics Express, 2010, 1(2):617-626.
[13] DE LUCA A C, MAZILU M, RICHES A, et al. Online fluorescence suppression in modulated Raman spectroscopy[J]. Anal Chem, 2010, 82(2):738-745.
[14] GEBREKIDAN M T, ERBER R, HARTMANN A, et al. Breast tumor analysis using shifted-excitation Raman difference spectroscopy (SERDS)[J]. Technol Cancer Res Treat, 2018, 17:1533033818782532.
[15] CAMP C H, LEE Y J, HEDDLESTON J M, et al. High-speed coherent Raman fingerprint imaging of biological tissues[J]. Nat Photonics, 2014, 8(6):627-634.
[16] MATOUSEK P. Deep non-invasive Raman spectroscopy of living tissue and powders[J]. Che Soc Rev, 2007, 36(8):1292-1304.
[17] MATOUSEK P, STONE N. Development of deep subsurface Raman spectroscopy for medical diagnosis and disease monitoring[J]. Chem Soc Rev, 2016, 45(7):1794-1802.
[18] KELLER M D, WILSON R H, MYCEK M A, et al. Monte Carlo model of spatially offset Raman spectroscopy for breast tumor margin analysis[J]. Appl Spectrosc, 2010, 64(6):607-614.
[19] ELLIS D I, ECCLES R, XU Y, et al. Through-container, extremely low concentration detection of multiple chemical markers of counterfeit alcohol using a handheld SORS device[J]. Sci Rep, 2017, 7(1):12082.
[20] SOWOIDNICH K, CHURCHWELL J H, BUCKLEY K, et al. Spatially offset Raman spectroscopy for photon migration studies in bones with different mineralization levels[J]. Analyst, 2017, 142(17):3219-3226.
[21] NICOLSON F, JAMIESON L E, MABBOTT S, et al. Through tissue imaging of a live breast cancer tumour model using handheld surface enhanced spatially offset resonance Raman spectroscopy (SESORRS)[J]. Chem Sci, 2018, 9(15):3788-3792.
[22] SCHMADEKA R, HARMON B E, SINGH M. Triple-negative breast carcinoma current and emerging concepts[J]. Am J Clin Pathol, 2014, 141(4):462-477.
[23] MINN A J, GUPTA G P, SIEGEL P M, et al. Genes that mediate breast cancer metastasis to lung[J]. Nature, 2005, 436(7050):518-524.
[24] MANCIU F S, CIUBUC J D, PARRA K, et al. Label-free Raman imaging to monitor breast tumor signatures[J]. Technol Cancer Res Treat, 2017, 16(4):461-469.
[25] LEE S H, KIM O K, LEE S, et al. Local-dependency of morphological and optical properties between breast cancer cell lines[J]. Spectrochim Acta A Mol Biomol Spectrosc, 2018, 205:132-138.
[26] RICHTER L, WANG Y Q, HYDE R K. Targeting binding partners of the CBFβ-SMMHC fusion protein for the treatment of inversion 16 acute myeloid leukemia[J]. Oncotarget, 2016, 7(40):66255-66266.
[27] HUANG R Y, REARDON D A. Imaging studies in immunotherapy[M]. Translational Immunotherapy Brain Tumors.Amsterdam:Elservier,2017:149-179.
[28] KORKAYA H, DAVIS A, WICHA M S. Cancer stem cells and the microenvironment[M]. Mol Basis Cancer,2014,8(3):210-218.
[29] MARRO M, NIEVA C, DE JUAN A, et al. Unravelling the metabolic progression of breast cancer cells to bone metastasis by coupling Raman spectroscopy and a novel use of mcr-als algorithm[J]. Analyt Chem, 2018, 90(9):5594-5602.
[30] MIGNOLET A, WOOD B R, GOORMAGHTIGH E. Intracellular investigation on the differential effects of 4 polyphenols on MCF-7 breast cancer cells by Raman imaging[J]. Analyst, 2017, 143(1):258-269.
[31] SHASHNI B, HORIGUCHI Y, KUROSU K, et al. Application of surface enhanced Raman spectroscopy as a diagnostic system for hypersialylated metastatic cancers[J]. Biomaterials, 2017, 134:143-153.
[32] HEDEGAARD M, KRAFFT C, DITZEL H J, et al. 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[J]. Anal Chem, 2010, 82(7):2797-2802.
[33] ABRAMCZYK H, SURMACKI J, KOPEC M, et al. 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[J]. Analyst, 2016, 141(19):5646-5658.
[34] MATTHEWS Q, JIRASEK A, LUM J J, et al. Biochemical signatures of in vitro radiation response in human lung, breast and prostate tumour cells observed with Raman spectroscopy[J]. Phys Med Biol, 2011, 56(21):6839-6855.
[35] ABRAMCZYK H, SURMACKI J, KOPEC M, et al. 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[J]. Analyst, 2015, 140(7):2224-2235.
[36] BI X H, REXER B, ARTEAGA C L, et al. Evaluating HER2 amplification status and acquired drug resistance in breast cancer cells using Raman spectroscopy[J]. J Biomed Opt, 2014, 19(2):025001.
[37] HAN B, DU Y, FU T, et al. Differences and relationships between normal and atypical ductal hyperplasia, ductal carcinoma in situ, and invasive ductal carcinoma tissues in the breast based on Raman spectroscopy[J]. Appl Spectrosc, 2017, 71(2):300-307.
[38] BROZEK-PLUSKA B, MUSIAL J, KORDEK R, et al. Raman spectroscopy and imaging:applications in human breast cancer diagnosis[J]. Analyst, 2012, 137(16):3773-3780.
[39] SURMACKI J, MUSIAL J, KORDEK R, et al. Raman imaging at biological interfaces:applications in breast cancer diagnosis[J]. Mol Cancer, 2013, 12(6):4-8.
[40] ABRAMCZYK H, BROZEK-PLUSKA B, SURMACKI J, et al. Raman ‘optical biopsy’ of human breast cancer[J]. Prog Biophys Mol Biol, 2012, 108(1/2):74-81.
[41] HAKA A S, VOLYNSKAYA Z, GARDECKI J A, et al. Diagnosing breast cancer using Raman spectroscopy:prospective analysis[J].J Biomed Opt, 2009,14(5):054023.
[42] SHIPP D W, RAKHA E A, KOLOYDENKO A A, et al. Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery[J]. Breast Cancer Res, 2018, 20(1):69.
[43] HAKA A S, VOLYNSKAYA Z, GARDECKI J A, et al. In vivo margin assessment during partial mastectomy breast surgery using Raman spectroscopy[J]. Cancer Res, 2006, 66(6):3317-3322.
[44] ABRAMCZYK H, BROZEK-PLUSKA B. Raman imaging in biochemical and biomedical applications. diagnosis and treatment of breast cancer[J]. Chem Rev, 2013, 113(8):5766-5781.
[45] HANLON E B, MANOHARAN R, KOO T W, et al. Prospects for in vivo Raman spectroscopy[J]. Phys Med Biol, 2000, 45(2):R1-R59.
[46] NIJSSEN A, KOLJENOVIC S, BAKKER SCHUT T C, et al. Towards oncological application of Raman spectroscopy[J]. Biophotonics, 2009, 2(1/2):29-36.
[47] ABRAMCZYK H, BROZEK-PLUSKA B, SURMACKI J, et al. The label-free Raman imaging of human breast cancer[J]. J Mol Liq, 2011, 164(1/2):123-131.
[48] REHMAN S, MOVASAGHI Z, TUCKER A T, et al. Raman spectroscopic analysis of breast cancer tissues:identifying differences between normal, invasive ductal carcinoma and ductal carcinoma in situ of the breast tissue[J]. J Raman Spectrosc, 2007, 38(10):1345-1351.