zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-1494Research ArticleАННОТАЦИИ АНГЛОЯЗЫЧНЫХ СТАТЕЙABSTRACTS ENGLISH-LANGUAGE ARTICLESБыстрое распознавание рака шейки матки и миомы матки с использованием безметочной РНК сыворотки крови на основе спектроскопии поверхностно-усиленного комбинационного рассеяния света и алгоритма AdaBoostRapid Discrimination of Cervical Cancer from Hysteromyoma Using Label-Free Serum RNA Based on Surface-Enhanced Raman Spectroscopy and AdaBoost AlgorithmJiaoZ.JiaoZ.

Пекин

Beijing

WuG.WuG.

Пекин

Beijing 

wuguohua@bupt.edu.cnWangJ.WangJ.

Урумчи

Urumqi

1610030175@qq.comZhengX.ZhengX.

Пекин

Beijing 

YinL.YinL.

Пекин 

Beijing 

Научная школа Пекинского университета почты и телекоммуникацийSchool of Science, Beijing University of Posts and TelecommunicationsШкола электронной инженерии Пекинского университета почты и телекоммуникацийSchool of Electronic Engineering, Beijing University of Posts and TelecommunicationsПервая больница Синьцзянского медицинского университетаState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University202414022024911166166Copyright © Jiao Z., Wu G., Wang J., Zheng X., Yin L., 20242024Jiao Z., Wu G., Wang J., Zheng X., Yin L.Jiao Z., Wu G., Wang J., Zheng X., Yin L.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://zhps.ejournal.by/jour/article/view/1494

Исследована возможность использования поверхностно-усиленного комбинационного рассеяния (SERS) в сочетании с алгоритмом AdaBoost для диагностики пациентов с раком шейки матки и с миомой матки. В качестве активного субстрата SERS использованы коллоиды золота. Для образцов РНК сыворотки крови, полученных от 35 пациентов с раком шейки матки и 30 пациентов с миомой матки, зарегистрированы спектры комбинационного рассеяния и проанализированы с использованием анализа главных компонент. Выбраны три основные компоненты (PC2, PC11 и PC24) со значительными различиями t-критерия независимых выборок (p < 0.05). Обнаружено, что характерные пиковые интенсивности соответствующего вещества, измеренные при 448, 519, 698, 1003 и 1076 см–1, коррелируют с изменениями вещества в процессе канцерогенеза. Идеальная модель классификации AdaBoost разработана путем точной настройки ее параметров. Модель продемонстрировала точность 96.92%, высокую чувствительность 94.28% и исключительную специфичность 100%. По сравнению с линейным дискриминантным анализом и методом опорных векторов эффективность классификации значительно повысилась. Ожидается, что SERS в сочетании с алгоритмом AdaBoost станет мощным инструментом скрининга рака шейки матки в сыворотке крови.

We investigated the feasibility of using surface-enhanced Raman scattering (SERS) technology combined with the AdaBoost algorithm to rapidly discriminate cervical cancer patients from hysteromyoma patients. Using Au colloids as the SERS active substrate, we recorded Raman signal measurements on serum RNA samples obtained from 35 patients diagnosed with cervical cancer and 30 patients diagnosed with hysteromyoma. Analysis of RNA SERS spectra using principal component analysis, then three principal components (PC2, PC11, and PC24) with significant differences were chosen using the independent samples t-test (p < 0.05). The distinctive peak intensities of the relevant substance, measured at 448, 519, 698, 1003, and 1076 cm–1 , were found to be correlated with the substance's alterations during the carcinogenesis process. The ideal AdaBoost classification model was developed by fine-tuning its parameters. The model showcased an impressive accuracy of 96.92%, exhibiting a high sensitivity of 94.28% and an exceptional specificity of 100%, as reported in the results. Compared to the linear discriminant analysis, support vector machine models, the effectiveness of classification greatly improved. The current findings indicate that serum SERS technology, combined with the AdaBoost algorithm, is anticipated to be developed into a potent screening tool for cervical cancer.

поверхностно-усиленное комбинационное рассеяниерак шейки маткиРНК сыворотки кровиAdaBoostsurface-enhanced Raman scatteringcervical cancerserum RNAAdaBoostThis research was supported by the National Natural Science Foundation of China (No. 62071059), the Prevention and Treatment of Central Asian High Incidence Diseases Fund (SKL-HIDCA-2019-5), the Science and Technology Department of Xinjiang Uyghur Autonomous Region (No. 2019E0282), and the Fundamental Research Funds for the Central Universities (No. 500422107).ReferencesH. Sung, J. Ferlay, R.L. Siegel, et al., Cancer J. Clin., 71, No. 3, 209–249 (2021), https://doi.org/10.3322/caac.21660.H. Sung, J. Ferlay, R.L. Siegel, et al., Cancer J. Clin., 71, No. 3, 209–249 (2021), https://doi.org/10.3322/caac.21660.A. Slomski, JAMA, 327, No. 9, 804 (2022), https://doi.org/10.1001/jama.2022.2188.A. Slomski, JAMA, 327, No. 9, 804 (2022), https://doi.org/10.1001/jama.2022.2188.P. A. Cohen, A. Jhingran, A. Oaknin, et al., The Lancet, 393, No. 10167, 169–182 (2019), https://doi.org/10.1016/S0140-6736(18)32470-X.P. A. Cohen, A. Jhingran, A. Oaknin, et al., The Lancet, 393, No. 10167, 169–182 (2019), https://doi.org/10.1016/S0140-6736(18)32470-X.M. Vu, J. Yu, O. A. Awolude, et al., Current Prob. Cancer, 42, No. 5, 457–465 (2018), https://doi.org/10.1016/j.currproblcancer.2018.06.003.M. Vu, J. Yu, O. A. Awolude, et al., Current Prob. Cancer, 42, No. 5, 457–465 (2018), https://doi.org/10.1016/j.currproblcancer.2018.06.003.E. T. Fontham, A. M. Wolf, T. R. Church, et al., Cancer J. Clin., 70, No. 5, 321–346 (2020), https://doi.org/10.3322/caac.21628.E. T. Fontham, A. M. Wolf, T. R. Church, et al., Cancer J. Clin., 70, No. 5, 321–346 (2020), https://doi.org/10.3322/caac.21628.R. Catarino, P. Petignat, G. Dongui, et al., World J. Clin. Oncology, 6, No. 6, 281 (2015), https://doi.org/10.5306/wjco.v6.i6.281.R. Catarino, P. Petignat, G. Dongui, et al., World J. Clin. Oncology, 6, No. 6, 281 (2015), https://doi.org/10.5306/wjco.v6.i6.281.P. Rajaraman, B. O. Anderson, P. Basu, et al., The Lancet Oncology, 16, No. 7, e352–e361 (2015), https://doi.org/10.1016/S1470-2045(15)00078-9.P. Rajaraman, B. O. Anderson, P. Basu, et al., The Lancet Oncology, 16, No. 7, e352–e361 (2015), https://doi.org/10.1016/S1470-2045(15)00078-9.R. Sankaranarayanan, P. O. Esmy, R. Rajkumar, et al., The Lancet, 370, No. 9585, 398–406 (2007), https://doi.org/10.1016/S0140-6736(07)61195-7.R. Sankaranarayanan, P. O. Esmy, R. Rajkumar, et al., The Lancet, 370, No. 9585, 398–406 (2007), https://doi.org/10.1016/S0140-6736(07)61195-7.R. R. Jones, D. C. Hooper, L. Zhang, et al., Nanoscale Res. Lett., 14, No. 1, 1–34 (2019), https://doi.org/10.1186/s11671-019-3039-2.R. R. Jones, D. C. Hooper, L. Zhang, et al., Nanoscale Res. Lett., 14, No. 1, 1–34 (2019), https://doi.org/10.1186/s11671-019-3039-2.X. Zhang, C. R. Yonzon, M. A. Young, et al., IEE Proc. Nanobiotechnol., 152, No. 6, 195–206 (2005), https://doi.org/10.1049/ip-nbt:20050009.X. Zhang, C. R. Yonzon, M. A. Young, et al., IEE Proc. Nanobiotechnol., 152, No. 6, 195–206 (2005), https://doi.org/10.1049/ip-nbt:20050009.L. A. Lane, X. Qian, S. Nie, Chem. Rev., 115, No. 19, 10489–10529 (2015), https://doi.org/10.1021/acs.chemrev.5b00265.L. A. Lane, X. Qian, S. Nie, Chem. Rev., 115, No. 19, 10489–10529 (2015), https://doi.org/10.1021/acs.chemrev.5b00265.Y. Chen, G. Chen, X. Zheng, et al., Med. Phys., 39, No. 9, 5664–5668 (2012), https://doi.org/10.1118/1.4747269.Y. Chen, G. Chen, X. Zheng, et al., Med. Phys., 39, No. 9, 5664–5668 (2012), https://doi.org/10.1118/1.4747269.Y. Chen, G. Chen, S. Feng, et al., J. Biomed. Opt., 17, No. 6, 067003 (2012), https://doi.org/10.1117/1.JBO.17.6.067003.Y. Chen, G. Chen, S. Feng, et al., J. Biomed. Opt., 17, No. 6, 067003 (2012), https://doi.org/10.1117/1.JBO.17.6.067003.S. Nasir, M. I. Majeed, H. Nawaz, et al., Photodiagnosis and Photodynamic Therapy, 33, 102152 (2021), https://doi.org/10.1016/j.pdpdt.2020.102152.S. Nasir, M. I. Majeed, H. Nawaz, et al., Photodiagnosis and Photodynamic Therapy, 33, 102152 (2021), https://doi.org/10.1016/j.pdpdt.2020.102152.X. Wang, H. K. Wang, Y. Li, et al., Proc. NAS, 111, No. 11, 4262–4267 (2014), https://doi.org/10.1073/pnas.1401430111.X. Wang, H. K. Wang, Y. Li, et al., Proc. NAS, 111, No. 11, 4262–4267 (2014), https://doi.org/10.1073/pnas.1401430111.M. L. Tornesello, R. Faraonio, L. Buonaguro, et al., Front. Oncology, 10, 150 (2020), https://doi.org/10.3389/fonc.2020.00150.M. L. Tornesello, R. Faraonio, L. Buonaguro, et al., Front. Oncology, 10, 150 (2020), https://doi.org/10.3389/fonc.2020.00150.Y. He, J. Lin, Y. Ding, et al., Int. J. Cancer, 138, No. 6, 1312–1327 (2016), https://doi.org/10.1002/ijc.29618.Y. He, J. Lin, Y. Ding, et al., Int. J. Cancer, 138, No. 6, 1312–1327 (2016), https://doi.org/10.1002/ijc.29618.J. D. Driskell, A. G. Seto, L. P. Jones, et al., Biosens. Bioelectron., 24, No. 4, 917–922 (2008), https://doi.org/10.1016/j.bios.2008.07.060.J. D. Driskell, A. G. Seto, L. P. Jones, et al., Biosens. Bioelectron., 24, No. 4, 917–922 (2008), https://doi.org/10.1016/j.bios.2008.07.060.J. D. Driskell, O. M. Primera-Pedrozo, R. A. Dluhy, et al., Appl. Spectrosc., 63, No. 10, 1107–1114 (2009), https://doi.org/10.1366/000370209789553183.J. D. Driskell, O. M. Primera-Pedrozo, R. A. Dluhy, et al., Appl. Spectrosc., 63, No. 10, 1107–1114 (2009), https://doi.org/10.1366/000370209789553183.A. A. Bunaciu, S. Fleschin, V. D. Hoang, et al., Crit. Rev. Anal. Chem., 47, No. 1, 67–75 (2017), https://doi.org/10.1080/10408347.2016.1209104.A. A. Bunaciu, S. Fleschin, V. D. Hoang, et al., Crit. Rev. Anal. Chem., 47, No. 1, 67–75 (2017), https://doi.org/10.1080/10408347.2016.1209104.X. D. Zhang, J. F. Li, Q. Q. Zhao, et al., Laser & Infrared, 38, 267–269 (2008), https://doi.org/10.1016/j.jpba.2007.11.019.X. D. Zhang, J. F. Li, Q. Q. Zhao, et al., Laser & Infrared, 38, 267–269 (2008), https://doi.org/10.1016/j.jpba.2007.11.019.B. B. Tang, S. Y. Liu, Y. U. Zhan, et al., Exp. Therap. Med., 10, No. 1, 269–274 (2015), https://doi.org/10.3892/etm.2015.2455.B. B. Tang, S. Y. Liu, Y. U. Zhan, et al., Exp. Therap. Med., 10, No. 1, 269–274 (2015), https://doi.org/10.3892/etm.2015.2455.X. Dong, Z. Yu, W. Cao, et al., Front. Comp. Sci., 14, No. 2, 241–258 (2020), https://doi.org/10.1007/s11704-019-8208-z.X. Dong, Z. Yu, W. Cao, et al., Front. Comp. Sci., 14, No. 2, 241–258 (2020), https://doi.org/10.1007/s11704-019-8208-z.A. Savitzky, M. J. Golay, Anal. Chem., 36, No. 8, 1627–1639 (1964), https://doi.org/10.1021/ac60319a045.A. Savitzky, M. J. Golay, Anal. Chem., 36, No. 8, 1627–1639 (1964), https://doi.org/10.1021/ac60319a045.Z. M. Zhang, S. Chen, Y. Z. Liang, Analyst, 135, No. 5, 1138–1146 (2010), https://doi.org/10.1039/b922045c.Z. M. Zhang, S. Chen, Y. Z. Liang, Analyst, 135, No. 5, 1138–1146 (2010), https://doi.org/10.1039/b922045c.J. D. Rodriguez, B. J. Westenberger, L. F. Buhse, et al., Analyst, 136, No. 20, 32–40 (2011), https://doi.org/10.1039/c1an15636e.J. D. Rodriguez, B. J. Westenberger, L. F. Buhse, et al., Analyst, 136, No. 20, 32–40 (2011), https://doi.org/10.1039/c1an15636e.J. Hatwell, M. M. Gaber, R. M. Atif Azad, BMC Med. Inform. Dec. Mak., 20, No. 1, 250 (2020), https://doi.org/10.1186/s12911-020-01201-2.J. Hatwell, M. M. Gaber, R. M. Atif Azad, BMC Med. Inform. Dec. Mak., 20, No. 1, 250 (2020), https://doi.org/10.1186/s12911-020-01201-2.S. A. Sánchez-Rojo, B. E. Martínez-Zérega, E. F. Velázquez-Pedroza, et al., Rev. Mexicana de Física, 62, No. 3, 213–218 (2016).S. A. Sánchez-Rojo, B. E. Martínez-Zérega, E. F. Velázquez-Pedroza, et al., Rev. Mexicana de Física, 62, No. 3, 213–218 (2016).X. Zheng, G. Wu, J. Wang, et al., Biomed. Opt. Express, 13, No. 4, 1912–1923 (2022), https://doi.org/10.1364/BOE.448121.X. Zheng, G. Wu, J. Wang, et al., Biomed. Opt. Express, 13, No. 4, 1912–1923 (2022), https://doi.org/10.1364/BOE.448121.K. Mühlenbruch, A. Heraclides, E. W. Steyerberg, et al., Eur. J. Epidemiol., 28, No. 1, 25–33 (2013), https://doi.org/10.1007/s10654-012-9744-0.K. Mühlenbruch, A. Heraclides, E. W. Steyerberg, et al., Eur. J. Epidemiol., 28, No. 1, 25–33 (2013), https://doi.org/10.1007/s10654-012-9744-0.A. C. S. Talari, Z. Movasaghi, S. Rehman, et al., Appl. Spectr. Rev., 50, No. 1, 46–111 (2015), https://doi.org/10.1080/05704928.2014.923902.A. C. S. Talari, Z. Movasaghi, S. Rehman, et al., Appl. Spectr. Rev., 50, No. 1, 46–111 (2015), https://doi.org/10.1080/05704928.2014.923902.S. Qiu, Y. Xu, L. Huang, et al., Oncol. Lett., 11, No. 1, 884–890 (2016), https://doi.org/10.3892/ol.2015.3969.S. Qiu, Y. Xu, L. Huang, et al., Oncol. Lett., 11, No. 1, 884–890 (2016), https://doi.org/10.3892/ol.2015.3969.D. Puchowicz, M. Cieslak, Raman Spectroscopy in the Analysis of Textile Structures, Recent Developments in Atomic Force Microscopy and Raman Spectroscopy for Materials Characterization, 1–21 (2021), https://doi.org/10.5772/intechopen.99731.D. Puchowicz, M. Cieslak, Raman Spectroscopy in the Analysis of Textile Structures, Recent Developments in Atomic Force Microscopy and Raman Spectroscopy for Materials Characterization, 1–21 (2021), https://doi.org/10.5772/intechopen.99731.Y. Li, R. Shen, H. Wu, et al., Spectrochim. Acta A: Mol. Biomol. Spectrosc., 225, 117483 (2020), https://doi.org/10.1016/j.saa.2019.117483.Y. Li, R. Shen, H. Wu, et al., Spectrochim. Acta A: Mol. Biomol. Spectrosc., 225, 117483 (2020), https://doi.org/10.1016/j.saa.2019.117483.Z. Huang, A. McWilliams, H. Lui, et al., Int. J. Cancer, 107, No. 6, 1047–1052 (2003), https://doi.org/10.1002/ijc.11500.Z. Huang, A. McWilliams, H. Lui, et al., Int. J. Cancer, 107, No. 6, 1047–1052 (2003), https://doi.org/10.1002/ijc.11500.J. I. Githaiga, H. K. Angeyo, K. A. Kaduki, et al., J. Spectroscopy (2020), https://doi.org/10.1155/2020/8879985.J. I. Githaiga, H. K. Angeyo, K. A. Kaduki, et al., J. Spectroscopy (2020), https://doi.org/10.1155/2020/8879985.S. Chaichian, R. Shafabakhsh, S. M. Mirhashemi, et al., J. Cell. Physiology, 235, No. 2, 718–724 (2020), https://doi.org/10.1002/jcp.29009.S. Chaichian, R. Shafabakhsh, S. M. Mirhashemi, et al., J. Cell. Physiology, 235, No. 2, 718–724 (2020), https://doi.org/10.1002/jcp.29009.

The authors declare that there are no conflicts of interest present.