Protein profile study of the cervical cancer using HPLC-LIF

Author(s):  
Sujatha ◽  
Lavanya Rai ◽  
B. R. Krishnanand ◽  
K. K. Mahato ◽  
V. B. Kartha ◽  
...  
2011 ◽  
Author(s):  
Ajeetkumar Patil ◽  
Sujatha Bhat ◽  
Lavanya Rai ◽  
V. B. Kartha ◽  
Santhosh Chidangil ◽  
...  

2010 ◽  
Vol 26 (5) ◽  
pp. 746-752 ◽  
Author(s):  
D. S. Peñaranda ◽  
F. Marco-Jiménez ◽  
L. Pérez ◽  
V. Gallego ◽  
I. Mazzeo ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-7
Author(s):  
Sujatha Bhat ◽  
Ajeetkumar Patil ◽  
Lavanya Rai ◽  
V. B. Kartha ◽  
Santhosh Chidangil

A highly objective method, High Performance Liquid Chromatography with Laser Induced Fluorescence (HPLC-LIF) technique was used to study the protein profiles of normal and cervical cancer tissue homogenates. A total of 44 samples including normal cervical biopsy samples from the hysterectomy patients and the patients suffering from different stages of the cervical cancer were recorded by HPLC-LIF and analysed by Principle Component Analysis (PCA) to get statistical information on different tissue components. Discrimination of different stages of the samples was carried out by considering three parameters—scores of factor, spectral residual, and Mahalanobis Distance. Diagnostic accuracy of the method was evaluated using Receiver Operating Characteristic (ROC) analysis, and Youden's index(J)plots. The PCA results showed high sensitivity and specificity (∼100) for cervical cancer diagnosis. ROC and Youden's index curves for both normal and malignant standard sets show good diagnostic accuracy with high AUC values. The statistical analysis has shown that the differences in protein profiles can be used to diagnose biochemical changes in the tissue, and thus can be readily applied for the detection of cervical cancer, even in situations where a histopathology examination is not easy because of nonavailability of experienced pathologists.


2010 ◽  
Vol 878 (31) ◽  
pp. 3225-3230 ◽  
Author(s):  
Sujatha Bhat ◽  
Ajeetkumar Patil ◽  
Lavanya Rai ◽  
V.B. Kartha ◽  
C. Santhosh

2020 ◽  
Vol 20 (3) ◽  
pp. 149
Author(s):  
Muhammad Nabil ◽  
Azman Seeni ◽  
Wan Ismahanisa Ismail ◽  
Mohd Hafiz Mail ◽  
Nurhidayah Ab. Rahim

Cervical cancer is the third most prevalent cancer in females (2018) with an estimation of 569,847 incidences and 311,365 deaths worldwide despite the rapid advancement of current technology in treating cervical cancer. Radiotherapy and chemotherapy pose side effects and subsequently hinder treatment efficacy. Therefore, taken together with the previous reports of the plants’ ability in treating cancers,<em> Streblus asper</em> is suggested to be a potential candidate for cervical cancer. This study was conducted to investigate the anti-cervical cancer potential of <em>Streblus asper</em> through the identification of key proteins and their expression that are regulated in the treatment using mice xenograft model. By employing the use of Liquid Chromatography Mass Spectrometry (LCMS), several proteins associated with cancer growth mechanisms were successfully identified. Four-hundred and fifty-two proteins common to both groups were identified, and 122 proteins were found able to be quantified. Among those proteins, 52 proteins were expressed more than 2-fold changes and 12 proteins were selected based on its established relationship with cancers, including annexin A2, 14-3-3 protein, transgelin-2, galectin-1, keratin, heat shock protein 10 and 70, glucose regulated protein (78kDa), gelsolin, alpha enolase, cofilin-1, vimentin, and calreticulin. All these proteins were downregulated upon treatment of cervical cancer tumour by <em>Streblus asper.</em> Pathway enrichment analysis revealed 40 related pathways which include among others, metabolism of protein, post-translational protein modification, cellular responses to external stimuli and stress, cell cycle, and apoptosis. These analyses may improve our molecular insight of the mechanisms involved in the treatment of cervical cancer tumour by <em>Streblus asper</em> extract.


2009 ◽  
Vol 2 (5) ◽  
pp. 313-321 ◽  
Author(s):  
K. Kalyan Kumar ◽  
M. V. P. Chowdary ◽  
Stanley Mathew ◽  
Lakshmi Rao ◽  
C. Murali Krishna ◽  
...  

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