Objective diagnosis of cervical cancer by tissue protein profile analysis

Ajeetkumar Patil; Sujatha Bhat; Lavanya Rai; V. B. Kartha; Santhosh Chidangil

doi:10.1063/1.3605818

Objective diagnosis of cervical cancer by tissue protein profile analysis

Ajeetkumar Patil, Sujatha Bhat, Lavanya Rai, V. B. Kartha, Santhosh Chidangil

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Protein profiles of homogenized normal cervical tissue samples from hysterectomy subjects and cancerous cervical tissues from biopsy samples collected from patients with different stages of cervical cancer were recorded using High Performance Liquid Chromatography coupled with Laser Induced Fluorescence (HPLC-LIF). The Protein profiles were subjected to Principle Component Analysis to derive statistically significant parameters. Diagnosis of sample types were carried out by matching three parameters - scores of factors, squared residuals, and Mahalanobis Distance. ROC and Youden's Index curves for calibration standards were used for objective estimation of the optimum threshold for decision making and performance.

Original language	English
Title of host publication	Solid State Physics - Proceedings of the 55th DAE Solid State Physics Symposium 2010
Pages	226-227
Number of pages	2
Volume	1349
Edition	PART A
DOIs	https://doi.org/10.1063/1.3605818
Publication status	Published - 12-09-2011
Event	55th DAE Solid State Physics Symposium 2010 - Manipal, India Duration: 26-12-2010 → 30-12-2010

Conference

Conference	55th DAE Solid State Physics Symposium 2010
Country	India
City	Manipal
Period	26-12-10 → 30-12-10

All Science Journal Classification (ASJC) codes

Physics and Astronomy(all)

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10.1063/1.3605818

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title = "Objective diagnosis of cervical cancer by tissue protein profile analysis",

abstract = "Protein profiles of homogenized normal cervical tissue samples from hysterectomy subjects and cancerous cervical tissues from biopsy samples collected from patients with different stages of cervical cancer were recorded using High Performance Liquid Chromatography coupled with Laser Induced Fluorescence (HPLC-LIF). The Protein profiles were subjected to Principle Component Analysis to derive statistically significant parameters. Diagnosis of sample types were carried out by matching three parameters - scores of factors, squared residuals, and Mahalanobis Distance. ROC and Youden's Index curves for calibration standards were used for objective estimation of the optimum threshold for decision making and performance.",

author = "Ajeetkumar Patil and Sujatha Bhat and Lavanya Rai and Kartha, {V. B.} and Santhosh Chidangil",

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Objective diagnosis of cervical cancer by tissue protein profile analysis. / Patil, Ajeetkumar; Bhat, Sujatha; Rai, Lavanya; Kartha, V. B.; Chidangil, Santhosh.

Solid State Physics - Proceedings of the 55th DAE Solid State Physics Symposium 2010. Vol. 1349 PART A. ed. 2011. p. 226-227.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Protein profiles of homogenized normal cervical tissue samples from hysterectomy subjects and cancerous cervical tissues from biopsy samples collected from patients with different stages of cervical cancer were recorded using High Performance Liquid Chromatography coupled with Laser Induced Fluorescence (HPLC-LIF). The Protein profiles were subjected to Principle Component Analysis to derive statistically significant parameters. Diagnosis of sample types were carried out by matching three parameters - scores of factors, squared residuals, and Mahalanobis Distance. ROC and Youden's Index curves for calibration standards were used for objective estimation of the optimum threshold for decision making and performance.

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Objective diagnosis of cervical cancer by tissue protein profile analysis

Abstract

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All Science Journal Classification (ASJC) codes

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