Validating METCAM/MUC18 as a Novel Biomarker to Predict the Malignant Potential of Prostate Cancer at an Early Stage by Using a Modified Gold Nanoparticles-Based Lateral Flow Immunoassay
Abstract
:1. Introduction
2. Materials and Methods
2.1. Materials
2.2. Preparation of Recombinant METCAM/MUC18 Proteins
2.3. Preparation of Human Serum Samples
2.4. Preparation of Biotinylated Chicken Antibody
2.5. Western Blot Analysis
2.6. The Modified Lateral Flow Immunoassay (LFIA)
2.7. Statistical Analysis
3. Results
3.1. Identification of Antibodies for Modified LFIA
3.2. The First Antibody Combination: A Commercial Biotinylated Rabbit Antibody (EPP11278) and the Nano-Gold Conjugated Home-Made Chicken Antibody
3.2.1. The Standard Curve of Recombinant Human METCAM/MUC18 Proteins
3.2.2. The Serum METCAM/MUC18 Concentrations in Various Human Serum Samples
3.2.3. The Relation of Serum MECTAM/MUC18 Concentrations with PSA
3.3. The Second Antibody Combination: The Home-Made Biotinylated Chicken Antibody and a Nano-Gold Conjugated Commercial Rabbit Antibody (EPP11278 or MBS2529469)
3.3.1. The Standard Curve of Recombinant Human METCAM/MUC18 Proteins
3.3.2. The Serum METCAM/MUC18 Concentrations in Various Human Serum Samples
3.3.3. The Relation of Serum MECTAM/MUC18 Concentrations with PSA
3.4. The Relation of Serum PSA Concentration in Various Patients
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
References
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Antibodies | Size of METCAM/MUC18 (Recognized in WB) | Location of Epitopes (# Amino Acid) | Recombinant Protein of huMETCAM/MUC18 Recognized in WB * | Sources |
---|---|---|---|---|
Chicken Ab | 113–150 kDa | 212–374 | M | Home-made |
Biotinylated chicken Ab | 113–150 kDa | 212–374 | M | Home-made |
Rabbit Ab (MBS2529469 = EPP11278) | 120 kDa | 26–350 | N | MyBiosource and Elabscience |
Biotinylated rabbit Ab (EPP11278) | 120 kDa | 26–350 | N | Elabscience |
Characteristics | Age Range (Years) | Age Median (Years) | No of Cases | Percentage (%) |
---|---|---|---|---|
Normal | 28–75 | 52 | 8 | 27 |
BPH | 68–75 | 72 | 4 | 13.3 |
PIN | 63–87 | 75 | 2 | 6.7 |
Prostate carcinoma (total) | 50–93 | 72 | 14 | 47 |
Radiotherapy | 67–73 | 70 | 2 | 6.7 |
Pathological grades of Prostate carcinoma | 50–93 | 72 | 14 | 47 |
Gleason score 3 + 3 | 93 | 93 | 1 | 3.3 |
Gleason score 3 + 4 or 4 + 3 | 63–85 | 74 | 6 | 20 |
Gleason score 4 + 4 | 50–75 | 63 | 4 | 13.3 |
Gleason score 4 + 5 or 5 + 4 | 69–86 | 78 | 2 | 6.7 |
Gleason score 5 + 5 | 83 | 83 | 1 | 3.3 |
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Wu, J.-C.; Chuang, Y.-H.; Wei, Y.-C.; Hsieh, C.-C.; Pong, Y.-H.; Su, Y.-R.; Tsai, V.F.-S.; Wu, G.-J. Validating METCAM/MUC18 as a Novel Biomarker to Predict the Malignant Potential of Prostate Cancer at an Early Stage by Using a Modified Gold Nanoparticles-Based Lateral Flow Immunoassay. Diagnostics 2021, 11, 443. https://doi.org/10.3390/diagnostics11030443
Wu J-C, Chuang Y-H, Wei Y-C, Hsieh C-C, Pong Y-H, Su Y-R, Tsai VF-S, Wu G-J. Validating METCAM/MUC18 as a Novel Biomarker to Predict the Malignant Potential of Prostate Cancer at an Early Stage by Using a Modified Gold Nanoparticles-Based Lateral Flow Immunoassay. Diagnostics. 2021; 11(3):443. https://doi.org/10.3390/diagnostics11030443
Chicago/Turabian StyleWu, Jui-Chuang, Yin-Huan Chuang, Yu-Chun Wei, Chia-Chi Hsieh, Yuan-Hung Pong, Yenn-Rong Su, Vincent F.-S. Tsai, and Guang-Jer Wu. 2021. "Validating METCAM/MUC18 as a Novel Biomarker to Predict the Malignant Potential of Prostate Cancer at an Early Stage by Using a Modified Gold Nanoparticles-Based Lateral Flow Immunoassay" Diagnostics 11, no. 3: 443. https://doi.org/10.3390/diagnostics11030443
APA StyleWu, J.-C., Chuang, Y.-H., Wei, Y.-C., Hsieh, C.-C., Pong, Y.-H., Su, Y.-R., Tsai, V. F.-S., & Wu, G.-J. (2021). Validating METCAM/MUC18 as a Novel Biomarker to Predict the Malignant Potential of Prostate Cancer at an Early Stage by Using a Modified Gold Nanoparticles-Based Lateral Flow Immunoassay. Diagnostics, 11(3), 443. https://doi.org/10.3390/diagnostics11030443