Enzyme-Free Colorimetric Immunoassay for Protein Biomarker Enabled by Loading and Disassembly Behaviors of Polydopamine Nanoparticles

2020 ◽  
Vol 3 (12) ◽  
pp. 8841-8848
Author(s):  
Li Li ◽  
Zhenyuan Xing ◽  
Qiaorong Tang ◽  
Lei Yang ◽  
Li Dai ◽  
...  
Keyword(s):  
Protein Biomarker ◽  
Colorimetric Immunoassay

Relating mRNA and protein biomarker levels in a Dehalococcoides and Methanospirillum-containing community

2014 ◽  
Vol 99 (5) ◽  
pp. 2313-2327 ◽  
Author(s):  
Annette R. Rowe ◽  
Cresten B. Mansfeldt ◽  
Gretchen L. Heavner ◽  
Ruth E. Richardson
Keyword(s):  
Protein Biomarker

scholarly journals Automated Assay of a Four-Protein Biomarker Panel for Improved Detection of Ovarian Cancer

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 325
Author(s):  
Christopher Walker ◽  
Tuan-Minh Nguyen ◽  
Shlomit Jessel ◽  
Ayesha B. Alvero ◽  
Dan-Arin Silasi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Early Detection ◽  
Predictive Value ◽  
Early Stage ◽  
Ca 125 ◽  
Healthy Controls ◽  
Classification Models ◽  
Serum Samples ◽  
Protein Biomarker ◽  
Biomarker Panel

Background: Mortality from ovarian cancer remains high due to the lack of methods for early detection. The difficulty lies in the low prevalence of the disease necessitating a significantly high specificity and positive-predictive value (PPV) to avoid unneeded and invasive intervention. Currently, cancer antigen- 125 (CA-125) is the most commonly used biomarker for the early detection of ovarian cancer. In this study we determine the value of combining macrophage migration inhibitory factor (MIF), osteopontin (OPN), and prolactin (PROL) with CA-125 in the detection of ovarian cancer serum samples from healthy controls. Materials and Methods: A total of 432 serum samples were included in this study. 153 samples were from ovarian cancer patients and 279 samples were from age-matched healthy controls. The four proteins were quantified using a fully automated, multi-analyte immunoassay. The serum samples were divided into training and testing datasets and analyzed using four classification models to calculate accuracy, sensitivity, specificity, PPV, negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: The four-protein biomarker panel yielded an average accuracy of 91% compared to 85% using CA-125 alone across four classification models (p = 3.224 × 10−9). Further, in our cohort, the four-protein biomarker panel demonstrated a higher sensitivity (median of 76%), specificity (median of 98%), PPV (median of 91.5%), and NPV (median of 92%), compared to CA-125 alone. The performance of the four-protein biomarker remained better than CA-125 alone even in experiments comparing early stage (Stage I and Stage II) ovarian cancer to healthy controls. Conclusions: Combining MIF, OPN, PROL, and CA-125 can better differentiate ovarian cancer from healthy controls compared to CA-125 alone.

Following the protein biomarker trail to colorectal cancer

2012 ◽  
Vol 1 (2) ◽  
pp. 93-96 ◽  
Author(s):  
Caroline Coghlin ◽  
Graeme I Murray
Keyword(s):  
Colorectal Cancer ◽  
Protein Biomarker

scholarly journals Blood-Based Protein Biomarker Panel for the Detection of Colorectal Cancer

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0120425 ◽  
Author(s):  
Kim Y. C. Fung ◽  
Bruce Tabor ◽  
Michael J. Buckley ◽  
Ilka K. Priebe ◽  
Leanne Purins ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Protein Biomarker ◽  
Biomarker Panel

scholarly journals Cerebrospinal fluid extracellular vesicle enrichment for protein biomarker discovery in neurological disease; multiple sclerosis

2017 ◽  
Vol 6 (1) ◽  
pp. 1369805 ◽  
Author(s):  
Joanne L. Welton ◽  
Samantha Loveless ◽  
Timothy Stone ◽  
Chris von Ruhland ◽  
Neil P. Robertson ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cerebrospinal Fluid ◽  
Neurological Disease ◽  
Biomarker Discovery ◽  
Extracellular Vesicle ◽  
Protein Biomarker
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