Literature DB >> 24197519

Cervical cancer detection based on serum sample Raman spectroscopy.

José Luis González-Solís1, Juan Carlos Martínez-Espinosa, Luis Adolfo Torres-González, Adriana Aguilar-Lemarroy, Luis Felipe Jave-Suárez, Pascual Palomares-Anda.   

Abstract

The use of Raman spectroscopy to analyze the biochemical composition of serum samples and hence distinguish between normal and cervical cancer serum samples was investigated. The serum samples were obtained from 19 patients who were clinically diagnosed with cervical cancer, 3 precancer, and 20 healthy volunteer controls. The imprint was put under an Olympus microscope, and around points were chosen for Raman measurement.All spectra were collected at a Horiba Jobin-Yvon LabRAM HR800 Raman Spectrometer with a laser of 830-nm wavelength and 17-mW power irradiation. Raw spectra were processed by carrying out baseline correction, smoothing, and normalization to remove noise, florescence, and shot noise and then analyzed using principal component analysis (PCA). The control serum spectrum showed the presence of higher amounts of carotenoids indicated by peaks at 1,002, 1,160, and 1,523 cm(-1)and intense peaks associated with protein components at 754, 853, 938, 1,002, 1,300-1,345, 1,447, 1,523, 1,550, 1,620, and 1,654 cm(-1). The Raman bands assigned to glutathione (446, 828, and 1,404 cm(-1)) and tryptophan (509, 1,208, 1,556, 1,603, and 1,620 cm(-1)) in cervical cancer were higher than those of control samples, suggesting that their presence may also play a role in cervical cancer. Furthermore, weak bands in the control samples attributed to tryptophan (545, 760, and 1,174 cm(-1)) and amide III (1,234-1,290 cm(-1)) seem to disappear and decrease in the cervical cancer samples, respectively. It is shown that the serum samples from patients with cervical cancer and from the control group can be discriminated with high sensitivity and specificity when the multivariate statistical methods of PCA is applied to Raman spectra. PCA allowed us to define the wavelength differences between the spectral bands of the control and cervical cancer groups by confirming that the main molecular differences among the control and cervical cancer samples were glutathione, tryptophan, β carotene, and amide III. The preliminary results suggest that Raman spectroscopy could be a highly effective technique with a strong potential of support for current techniques as Papanicolaou smear by reducing the number of these tests; nevertheless, with the construction of a data library integrated with a large number of cervical cancer and control Raman spectra obtained from a wide range of healthy and cervical cancer population, Raman-PCA technique could be converted into a new technique for noninvasive real-time diagnosis of cervical cancer from serum samples.

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Year:  2013        PMID: 24197519     DOI: 10.1007/s10103-013-1447-6

Source DB:  PubMed          Journal:  Lasers Med Sci        ISSN: 0268-8921            Impact factor:   3.161


  12 in total

Review 1.  Medical applications of Raman spectroscopy: from proof of principle to clinical implementation.

Authors:  L-P Choo-Smith; H G M Edwards; H P Endtz; J M Kros; F Heule; H Barr; J S Robinson; H A Bruining; G J Puppels
Journal:  Biopolymers       Date:  2002       Impact factor: 2.505

2.  Sign constraints improve the detection of differences between complex spectral data sets: LC-IR as an example.

Authors:  Hans F M Boelens; Paul H C Eilers; Thomas Hankemeier
Journal:  Anal Chem       Date:  2005-12-15       Impact factor: 6.986

3.  Near-infrared Raman spectroscopy for in vitro detection of cervical precancers.

Authors:  A Mahadevan-Jansen; M F Mitchell; N Ramanujam; A Malpica; S Thomsen; U Utzinger; R Richards-Kortum
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4.  Discrimination of normal, benign, and malignant breast tissues by Raman spectroscopy.

Authors:  M V P Chowdary; K Kalyan Kumar; Jacob Kurien; Stanley Mathew; C Murali Krishna
Journal:  Biopolymers       Date:  2006-12-05       Impact factor: 2.505

5.  Non-invasive raman spectroscopic detection of carotenoids in human skin.

Authors:  T R Hata; T A Scholz; I V Ermakov; R W McClane; F Khachik; W Gellermann; L K Pershing
Journal:  J Invest Dermatol       Date:  2000-09       Impact factor: 8.551

6.  Raman spectroscopy study of atherosclerosis in human carotid artery.

Authors:  Grazielle V Nogueira; Landulfo Silveira; Airton A Martin; Renato A Zângaro; Marcos T T Pacheco; Maria C Chavantes; Carlos A Pasqualucci
Journal:  J Biomed Opt       Date:  2005 May-Jun       Impact factor: 3.170

Review 7.  Tissue spectroscopy for gastrointestinal diseases.

Authors:  A G Bohorfoush
Journal:  Endoscopy       Date:  1996-05       Impact factor: 10.093

8.  Diagnosis of neuroblastoma and ganglioneuroma using Raman spectroscopy.

Authors:  Raja Rabah; Rachel Weber; Gulay K Serhatkulu; Alex Cao; Houbei Dai; Abhilash Pandya; Ratna Naik; Gregory Auner; Janet Poulik; Michael Klein
Journal:  J Pediatr Surg       Date:  2008-01       Impact factor: 2.545

9.  In vivo margin assessment during partial mastectomy breast surgery using raman spectroscopy.

Authors:  Abigail S Haka; Zoya Volynskaya; Joseph A Gardecki; Jon Nazemi; Joanne Lyons; David Hicks; Maryann Fitzmaurice; Ramachandra R Dasari; Joseph P Crowe; Michael S Feld
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10.  Raman spectroscopy for identification of epithelial cancers.

Authors:  Nicholas Stone; Catherine Kendall; Jenny Smith; Paul Crow; Hugh Barr
Journal:  Faraday Discuss       Date:  2004       Impact factor: 4.008

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  14 in total

1.  Estimating the concentration of urea and creatinine in the human serum of normal and dialysis patients through Raman spectroscopy.

Authors:  Maurício Liberal de Almeida; Cassiano Junior Saatkamp; Adriana Barrinha Fernandes; Antonio Luiz Barbosa Pinheiro; Landulfo Silveira
Journal:  Lasers Med Sci       Date:  2016-07-08       Impact factor: 3.161

2.  Early detection of dental fluorosis using Raman spectroscopy and principal component analysis.

Authors:  José Luis González-Solís; Evelia Martínez-Cano; Yolanda Magaña-López
Journal:  Lasers Med Sci       Date:  2014-08-14       Impact factor: 3.161

3.  Quantifying glucose and lipid components in human serum by Raman spectroscopy and multivariate statistics.

Authors:  Landulfo Silveira; Rita de Cássia Fernandes Borges; Ricardo Scarparo Navarro; Hector Enrique Giana; Renato Amaro Zângaro; Marcos Tadeu Tavares Pacheco; Adriana Barrinha Fernandes
Journal:  Lasers Med Sci       Date:  2017-03-07       Impact factor: 3.161

4.  Type 2 diabetes detection based on serum sample Raman spectroscopy.

Authors:  J L González-Solís; J R Villafan-Bernal; B E Martínez-Zérega; S Sánchez-Enríquez
Journal:  Lasers Med Sci       Date:  2018-05-25       Impact factor: 3.161

5.  Could the bone mineral density (T-score) be correlated with the Raman spectral features of keratin from women's nails and be used to predict osteoporosis?

Authors:  Julio Cesar Mussatto; Mauro Coura Perez; Renato Aparecido de Souza; Marcos Tadeu T Pacheco; Renato Amaro Zângaro; Landulfo Silveira
Journal:  Lasers Med Sci       Date:  2014-09-21       Impact factor: 3.161

6.  Breast cancer detection based on serum sample surface enhanced Raman spectroscopy.

Authors:  Enrique Vargas-Obieta; Juan Carlos Martínez-Espinosa; Brenda Esmeralda Martínez-Zerega; Luis Felipe Jave-Suárez; Adriana Aguilar-Lemarroy; José Luis González-Solís
Journal:  Lasers Med Sci       Date:  2016-06-11       Impact factor: 3.161

Review 7.  Current Advances in the Application of Raman Spectroscopy for Molecular Diagnosis of Cervical Cancer.

Authors:  Inês Raquel Martins Ramos; Alison Malkin; Fiona Mary Lyng
Journal:  Biomed Res Int       Date:  2015-06-09       Impact factor: 3.411

8.  Discrimination of different cancer types clustering Raman spectra by a super paramagnetic stochastic network approach.

Authors:  J L González-Solís
Journal:  PLoS One       Date:  2019-03-12       Impact factor: 3.240

Review 9.  Vibrational Spectroscopy Fingerprinting in Medicine: from Molecular to Clinical Practice.

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Journal:  Materials (Basel)       Date:  2019-09-06       Impact factor: 3.623

10.  New method of lung cancer detection by saliva test using surface-enhanced Raman spectroscopy.

Authors:  Kun Qian; Yan Wang; Lin Hua; Anyu Chen; Yi Zhang
Journal:  Thorac Cancer       Date:  2018-08-31       Impact factor: 3.500

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