Paper
27 February 2006 Protein profile study of clinical samples of ovarian cancer using high-performance liquid chromatography-laser induced fluorescence (HPLC-LIF)
Sameer Kumar Singh, Remila L. Martis, Sujatha, Rani A. Bhat, Pralhad Kushtagi, Lavanya Rai, V.B. Kartha, C. Santhosh
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Abstract
New techniques for the early detection of cancer are fast emerging. This is essential for more effective diagnosis and control of the disease. We have used a High Performance Liquid Chromatography-Laser Induced Fluorescence (HPLCLIF) technique to record chromatograms of proteins in serum and ovarian tissue samples. The recorded chromatograms of normal, benign and malignant samples were analyzed using statistical (Principal Component Analysis) methods. It is shown that chromatograms of the samples can be classified into sets, and a model based on such a classification can be used to analyze protein profiles of test samples of serum and ovarian tissue for the detection of malignancies.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sameer Kumar Singh, Remila L. Martis, Sujatha, Rani A. Bhat, Pralhad Kushtagi, Lavanya Rai, V.B. Kartha, and C. Santhosh "Protein profile study of clinical samples of ovarian cancer using high-performance liquid chromatography-laser induced fluorescence (HPLC-LIF)", Proc. SPIE 6092, Ultrasensitive and Single-Molecule Detection Technologies, 60920N (27 February 2006); https://doi.org/10.1117/12.647321
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Cited by 12 scholarly publications.
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KEYWORDS
Proteins

Tissues

Principal component analysis

Ovarian cancer

Statistical analysis

Cancer

Luminescence

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