Label free Impedimetric Immunosensor for effective bladder Cancer detection in clinical urine samples

2020 ◽  
Vol 22 (3) ◽  
Author(s):  
Muhammad Omar Shaikh ◽  
Ting-Chi Huang ◽  
Ting-Feng Wu ◽  
Cheng-Hsin Chuang
Keyword(s):  
Bladder Cancer ◽  
Cancer Detection ◽  
Urine Samples ◽  
Label Free ◽  
Impedimetric Immunosensor

scholarly journals Electronic Nose for Bladder Cancer Detection

2021 ◽  
Vol 5 (1) ◽  
pp. 22
Author(s):  
Heena Tyagi ◽  
Emma Daulton ◽  
Ayman S. Bannaga ◽  
Ramesh P. Arasaradnam ◽  
James A. Covington
Keyword(s):  
Bladder Cancer ◽  
Logistic Regression ◽  
Random Forest ◽  
Sensitivity And Specificity ◽  
Cancer Detection ◽  
Electronic Nose ◽  
Random Forest Classifier ◽  
Urine Samples ◽  
Sparse Logistic Regression ◽  
High Separation

This study outlines the use of an electronic nose as a method for the detection of VOCs as biomarkers of bladder cancer. Here, an AlphaMOS FOX 4000 electronic nose was used for the analysis of urine samples from 15 bladder cancer and 41 non-cancerous patients. The FOX 4000 consists of 18 MOS sensors that were used to differentiate the two groups. The results obtained were analysed using s MultiSens Analyzer and RStudio. The results showed a high separation with sensitivity and specificity of 0.93 and 0.88, respectively, using a Sparse Logistic Regression and 0.93 and 0.76 using a Random Forest classifier. We conclude that the electronic nose shows potential for discriminating bladder cancer from non-cancer subjects using urine samples.

Abstract 4160: Glycoprotein biomarkers for bladder cancer detection identified using LC-MS/MS and label free quantification

2011 ◽  
Author(s):  
Steven Goodison ◽  
Na Yang ◽  
Xiaolei Xie ◽  
Yashu Liu ◽  
Virginia Urquidi ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Detection ◽  
Label Free ◽  
Label Free Quantification ◽  
Free Quantification

Combined analysis of morphology and fluorescence in situ hybridization significantly increases accuracy of bladder cancer detection in voided urine samples

Urology ◽  
2005 ◽  
Vol 66 (6) ◽  
pp. 1354-1359 ◽  
Author(s):  
Michal Daniely ◽  
Ronny Rona ◽  
Tal Kaplan ◽  
Shirley Olsfanger ◽  
Lea Elboim ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
In Situ Hybridization ◽  
Fluorescence In Situ Hybridization ◽  
Cancer Detection ◽  
Urine Samples ◽  
Combined Analysis

scholarly journals Urinary Glycoprotein Biomarker Discovery for Bladder Cancer Detection Using LC/MS-MS and Label-Free Quantification

2011 ◽  
Vol 17 (10) ◽  
pp. 3349-3359 ◽  
Author(s):  
Na Yang ◽  
Shun Feng ◽  
Kerby Shedden ◽  
Xiaolei Xie ◽  
Yashu Liu ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Detection ◽  
Biomarker Discovery ◽  
Label Free ◽  
Label Free Quantification ◽  
Free Quantification ◽  
Urinary Glycoprotein

Improved urine samples collection for DNA/RNA purification and its application in bladder cancer detection.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e18199-e18199
Author(s):  
Michiko Suwoto ◽  
Paolo Piatti ◽  
Xiaojing Yiang ◽  
Xi Yu Jia ◽  
Yap Ching Chew
Keyword(s):  
Bladder Cancer ◽  
Cancer Detection ◽  
Urine Samples ◽  
Rna Purification

Assessment of telomerase activity in cells from urine samples for bladder cancer detection

2017 ◽  
Vol 16 (10) ◽  
pp. e2772
Author(s):  
N. Potoldykova ◽  
K. Polyakovsky ◽  
A. Vinarov ◽  
P. Glybochko ◽  
A. Glukhov ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Detection ◽  
Telomerase Activity ◽  
Urine Samples ◽  
In Cells

888: Metabolomic Urine Samples Profiling Using High Performance Liquid Chromatography Coupled with Mass Spectrometry to Detect Bladder Cancer

2007 ◽  
Vol 177 (4S) ◽  
pp. 295-295
Author(s):  
Michael Mullerad ◽  
Haleem J. Issaq ◽  
Alexander Kravtsov ◽  
Timothy Waybright ◽  
Brian Luke ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Bladder Cancer ◽  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
High Performance ◽  
Urine Samples

scholarly journals In Vitro Spectroscopy-Based Profiling of Urothelial Carcinoma: A Fourier Transform Infrared and Raman Imaging Study

Cancers ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 123
Author(s):  
Monika Kujdowicz ◽  
Wojciech Placha ◽  
Brygida Mech ◽  
Karolina Chrabaszcz ◽  
Krzysztof Okoń ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Fourier Transform ◽  
Cancer Cells ◽  
Cell Line ◽  
Cell Lines ◽  
Malignant Neoplasm ◽  
Fourier Transform Infrared ◽  
Diagnostic Tools ◽  
Label Free ◽  
Bladder Cancer Cells

Markers of bladder cancer cells remain elusive, which is a major cause of the low recognition of this malignant neoplasm and its recurrence. This implies an urgent need for additional diagnostic tools which are based on the identification of the chemism of bladder cancer. In this study, we employed label-free techniques of molecular imaging—Fourier Transform Infrared and Raman spectroscopic imaging—to investigate bladder cancer cell lines of various invasiveness (T24a, T24p, HT-1376, and J82). The urothelial HCV-29 cell line was the healthy control. Specific biomolecules discriminated spatial distribution of the nucleus and cytoplasm and indicated the presence of lipid bodies and graininess in some cell lines. The most prominent discriminators are the total content of lipids and sugar moieties as well as the presence of glycogen and other carbohydrates, un/saturated lipids, cytochromes, and a level of S-S bridges in proteins. The combination of the obtained hyperspectral database and chemometric methods showed a clear differentiation of each cell line at the level of the nuclei and cytoplasm and pointed out spectral signals which differentiated bladder cancer cells. Registered spectral markers correlated with biochemical composition changes can be associated with pathogenesis and potentially used for the diagnosis of bladder cancer and response to experimental therapies.

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