Abstract
High performance liquid chromatography with high sensitivity laser-induced fluorescence detection is used to study the protein profiles of serum samples from healthy volunteers and cervical cancer subjects. The protein profiles are subjected to principal component analysis (PCA). PCA shows that the large number of chromatograms of a given class of serum samples - say normal/malignant - can be expressed in terms of a small number of factors (principal components). Three parameters - scores of the factors, squared residuals, and Mahalanobis distance - are derived from PCA. The parameters are observed to have a narrow range for protein profiles of standard calibration sets formed from groups of clinically confirmed normal/malignant classes. Limit tests using match/no match of the parameters of any test sample with parameters derived for the standard calibration sets give very good discrimination between malignant and normal samples with high sensitivity (∼100%) and specificity (∼94%).
| Original language | English |
|---|---|
| Article number | 054062 |
| Journal | Journal of Biomedical Optics |
| Volume | 13 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2008 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Biomaterials
- Biomedical Engineering
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