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 in | Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Vol. 222; p. 117241 | 
|---|---|
| Main Authors | , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        England
          Elsevier B.V
    
        05.11.2019
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 1386-1425 1873-3557  | 
| DOI | 10.1016/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.
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•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. | 
    
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| 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  | 
    
| Author_xml | – sequence: 1 givenname: Khairunnisa Abd surname: Ghani fullname: Ghani, Khairunnisa Abd organization: School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia – sequence: 2 givenname: Suhainah surname: Sudik fullname: Sudik, Suhainah organization: School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia – sequence: 3 givenname: Ahmad Fairuz orcidid: 0000-0002-7879-9102 surname: Omar fullname: Omar, Ahmad Fairuz email: fairuz_omar@usm.my organization: School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia – sequence: 4 givenname: Mohd Hafiz surname: Mail fullname: Mail, Mohd Hafiz organization: Malaysian Institute of Pharmaceuticals and Nutraceuticals, National Institute of Biotechnology Malaysia, Ministry of Energy, Science, Technology, Environment and Climate Change, 11700 Penang, Malaysia – sequence: 5 givenname: Azman surname: Seeni fullname: Seeni, Azman organization: Malaysian Institute of Pharmaceuticals and Nutraceuticals, National Institute of Biotechnology Malaysia, Ministry of Energy, Science, Technology, Environment and Climate Change, 11700 Penang, Malaysia  | 
    
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| Keywords | Absorbance VIS–NIR spectroscopy Prostate Scattering Cervical Cancer  | 
    
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| 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 | 
    
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