VIS–NIR spectral signature and quantitative analysis of HeLa and DU145 cell line

Cancer is increasing in incidence and the leading cause of death worldwide. Controlling and reducing cancer requires early detection and technique to accurately detect and quantify predictive biomarkers. Optical spectroscopy has shown promising non-destructive ability to display distinctive spectral...

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Published inSpectrochimica acta. Part A, Molecular and biomolecular spectroscopy Vol. 222; p. 117241
Main Authors Ghani, Khairunnisa Abd, Sudik, Suhainah, Omar, Ahmad Fairuz, Mail, Mohd Hafiz, Seeni, Azman
Format Journal Article
LanguageEnglish
Published England Elsevier B.V 05.11.2019
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ISSN1386-1425
1873-3557
DOI10.1016/j.saa.2019.117241

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Abstract Cancer is increasing in incidence and the leading cause of death worldwide. Controlling and reducing cancer requires early detection and technique to accurately detect and quantify predictive biomarkers. Optical spectroscopy has shown promising non-destructive ability to display distinctive spectral characteristics between cancerous and normal tissues from different part of human organ. Nonetheless, not many information is available on spectroscopic properties of cancer cell lines. In this research, the visible–near infrared (VIS–NIR) absorbance spectroscopy measurement of cultured cervical cancer (HeLa) and prostate cancer cells (DU145) lines has been performed to develop spectral signature of cancer cells and to generate algorithm to quantify cancer cells. Spectroscopic measurement on mouse skin fibroblast (L929) was also taken for comparative purposes. In visible region, the raw cells' spectra do not produce any noticeable peak absorbance that provides information on color because the medium used for cells is colorless and transparent. NIR wavelength between 950 and 975 nm exhibit significant peak due to water absorbance by the medium. Development of spectral signature for the cells through the application of regression technique significantly enhances the diverse characteristics between L929, HeLa and DU145. The application of multiple linear regression allows high measurement accuracy of the cells with coefficient of determination above 0.94. [Display omitted] •HeLa cells exhibit higher spectral responsivity compared to L929 and DU145.•L929 and DU145 exhibit comparable pattern of signature.•DU145 has higher R2 within visible region compared to L929 with peak at 560 nm.•Cells quantitative algorithms with high accuracy (R2 above 0.94) have been developed.
AbstractList Cancer is increasing in incidence and the leading cause of death worldwide. Controlling and reducing cancer requires early detection and technique to accurately detect and quantify predictive biomarkers. Optical spectroscopy has shown promising non-destructive ability to display distinctive spectral characteristics between cancerous and normal tissues from different part of human organ. Nonetheless, not many information is available on spectroscopic properties of cancer cell lines. In this research, the visible–near infrared (VIS–NIR) absorbance spectroscopy measurement of cultured cervical cancer (HeLa) and prostate cancer cells (DU145) lines has been performed to develop spectral signature of cancer cells and to generate algorithm to quantify cancer cells. Spectroscopic measurement on mouse skin fibroblast (L929) was also taken for comparative purposes. In visible region, the raw cells' spectra do not produce any noticeable peak absorbance that provides information on color because the medium used for cells is colorless and transparent. NIR wavelength between 950 and 975 nm exhibit significant peak due to water absorbance by the medium. Development of spectral signature for the cells through the application of regression technique significantly enhances the diverse characteristics between L929, HeLa and DU145. The application of multiple linear regression allows high measurement accuracy of the cells with coefficient of determination above 0.94. [Display omitted] •HeLa cells exhibit higher spectral responsivity compared to L929 and DU145.•L929 and DU145 exhibit comparable pattern of signature.•DU145 has higher R2 within visible region compared to L929 with peak at 560 nm.•Cells quantitative algorithms with high accuracy (R2 above 0.94) have been developed.
Cancer is increasing in incidence and the leading cause of death worldwide. Controlling and reducing cancer requires early detection and technique to accurately detect and quantify predictive biomarkers. Optical spectroscopy has shown promising non-destructive ability to display distinctive spectral characteristics between cancerous and normal tissues from different part of human organ. Nonetheless, not many information is available on spectroscopic properties of cancer cell lines. In this research, the visible-near infrared (VIS-NIR) absorbance spectroscopy measurement of cultured cervical cancer (HeLa) and prostate cancer cells (DU145) lines has been performed to develop spectral signature of cancer cells and to generate algorithm to quantify cancer cells. Spectroscopic measurement on mouse skin fibroblast (L929) was also taken for comparative purposes. In visible region, the raw cells' spectra do not produce any noticeable peak absorbance that provides information on color because the medium used for cells is colorless and transparent. NIR wavelength between 950 and 975 nm exhibit significant peak due to water absorbance by the medium. Development of spectral signature for the cells through the application of regression technique significantly enhances the diverse characteristics between L929, HeLa and DU145. The application of multiple linear regression allows high measurement accuracy of the cells with coefficient of determination above 0.94.
ArticleNumber 117241
Author Omar, Ahmad Fairuz
Mail, Mohd Hafiz
Sudik, Suhainah
Seeni, Azman
Ghani, Khairunnisa Abd
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Keywords Absorbance
VIS–NIR spectroscopy
Prostate
Scattering
Cervical
Cancer
Language English
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Snippet Cancer is increasing in incidence and the leading cause of death worldwide. Controlling and reducing cancer requires early detection and technique to...
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StartPage 117241
SubjectTerms Absorbance
Algorithms
Animals
Cancer
Cell Line
Cell Line, Tumor
Cervical
Female
HeLa Cells
Humans
Linear Models
Male
Mice
Prostate
Prostatic Neoplasms - chemistry
Prostatic Neoplasms - diagnosis
Scattering
Spectroscopy, Near-Infrared - methods
Uterine Cervical Neoplasms - chemistry
Uterine Cervical Neoplasms - diagnosis
VIS–NIR spectroscopy
Title VIS–NIR spectral signature and quantitative analysis of HeLa and DU145 cell line
URI https://dx.doi.org/10.1016/j.saa.2019.117241
https://www.ncbi.nlm.nih.gov/pubmed/31216502
Volume 222
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