Serum proteomic-based analysis of pancreatic carcinoma for the identification of potential cancer biomarkers

2007 ◽  
Vol 1774 (6) ◽  
pp. 764-771 ◽  
Author(s):  
Zhi-Ling Sun ◽  
Yi Zhu ◽  
Fu-Qiang Wang ◽  
Rui Chen ◽  
Tao Peng ◽  
...  
Keyword(s):  
Pancreatic Carcinoma ◽  
Cancer Biomarkers ◽  
Potential Cancer

scholarly journals The Detection and Bioinformatic Analysis of Alternative 3′ UTR Isoforms as Potential Cancer Biomarkers

2021 ◽  
Vol 22 (10) ◽  
pp. 5322
Author(s):  
Nitika Kandhari ◽  
Calvin A. Kraupner-Taylor ◽  
Paul F. Harrison ◽  
David R. Powell ◽  
Traude H. Beilharz
Keyword(s):  
Gene Expression ◽  
Cell Transformation ◽  
Alternative Polyadenylation ◽  
Cancer Biomarkers ◽  
Bioinformatic Analysis ◽  
Alternative Transcript ◽  
Clinical Parameters ◽  
Transcript Cleavage ◽  
Cleavage And Polyadenylation ◽  
Potential Cancer

Alternative transcript cleavage and polyadenylation is linked to cancer cell transformation, proliferation and outcome. This has led researchers to develop methods to detect and bioinformatically analyse alternative polyadenylation as potential cancer biomarkers. If incorporated into standard prognostic measures such as gene expression and clinical parameters, these could advance cancer prognostic testing and possibly guide therapy. In this review, we focus on the existing methodologies, both experimental and computational, that have been applied to support the use of alternative polyadenylation as cancer biomarkers.

Systematic pan-cancer characterization of nuclear receptors identifies potential cancer biomarkers and therapeutic targets

2021 ◽  
pp. canres.3458.2020
Author(s):  
Junjie Jiang ◽  
Jiao Yuan ◽  
Zhongyi Hu ◽  
Mu Xu ◽  
Youyou Zhang ◽  
...  
Keyword(s):  
Nuclear Receptors ◽  
Therapeutic Targets ◽  
Cancer Biomarkers ◽  
Pan Cancer ◽  
Potential Cancer

Amplified suspension magnetic bead-based assay for sensitive detection of anti-glycan antibodies as potential cancer biomarkers

2022 ◽  
pp. 339444
Author(s):  
Anna Blsakova ◽  
Filip Květoň ◽  
Lenka Lorencová ◽  
Ola Blixt ◽  
Alica Vikartovska ◽  
...  
Keyword(s):  
Cancer Biomarkers ◽  
Magnetic Bead ◽  
Sensitive Detection ◽  
Potential Cancer

Circulating microRNAs as potential cancer biomarkers

2015 ◽  
Vol 19 (4) ◽  
pp. 229-238 ◽  
Author(s):  
Javier Ardila-Molano ◽  
Milena Vizcaíno ◽  
Martha Lucía Serrano
Keyword(s):  
Cancer Biomarkers ◽  
Circulating Micrornas ◽  
Potential Cancer

Integrated strategy for identifying and screening potential cancer biomarkers

2008 ◽  
Vol 150 (3) ◽  
pp. S164-S165
Author(s):  
P. Rudd ◽  
L. Royle ◽  
C. Radcliffe ◽  
U. Abd Hamid ◽  
R. Saldova ◽  
...  
Keyword(s):  
Cancer Biomarkers ◽  
Integrated Strategy ◽  
Potential Cancer

scholarly journals A Systems Approach to the Proteomic Identification of Novel Cancer Biomarkers

2010 ◽  
Vol 28 (4) ◽  
pp. 233-239 ◽  
Author(s):  
Sharon Pitteri ◽  
Sam Hanash
Keyword(s):  
Ovarian Cancer ◽  
Rapid Growth ◽  
Systems Approach ◽  
Cancer Biomarkers ◽  
Cancer Markers ◽  
Computational Tools ◽  
Biomarker Identification ◽  
Proteome Level ◽  
Proteomic Identification ◽  
Potential Cancer

The proteomics field has experienced rapid growth with technologies achieving ever increasing accuracy, sensitivity, and throughput, and with availability of computational tools to address particular applications. Given that the proteome represents the most functional component encoded for in the genome, a systems approach to disease investigations and biomarker identification benefits substantially from integration of proteome level studies. Here we present proteomic approaches that have allowed systematic searches for potential cancer markers by integrating cancer cell profiling with additional sources of data, as illustrated with recent studies of ovarian cancer.

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