Serum protein profile study of normal and cervical cancer subjects by high performance liquid chromatography with laser-induced fluorescence

Sujatha, Lavanya Rai, Pratap Kumar, Krishna K. Mahato, Vasudevan B. Kartha, Chidangil Santhosh

Research output: Contribution to journalArticle

10 Citations (Scopus)

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 languageEnglish
Article number054062
JournalJournal of Biomedical Optics
Volume13
Issue number5
DOIs
Publication statusPublished - 2008

Fingerprint

liquid chromatography
High performance liquid chromatography
serums
laser induced fluorescence
Principal component analysis
Blood Proteins
principal components analysis
cancer
Fluorescence
proteins
Proteins
Lasers
profiles
Calibration
sensitivity
discrimination

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Biomedical Engineering

Cite this

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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{\%}).",
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AU - Sujatha,

AU - Rai, Lavanya

AU - Kumar, Pratap

AU - Mahato, Krishna K.

AU - Kartha, Vasudevan B.

AU - Santhosh, Chidangil

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