Next Article in Journal
Association between Statins Administration and Influenza Susceptibility: A Systematic Review and Meta-Analysis of Longitudinal Studies
Next Article in Special Issue
Improving Pharmacokinetics of Peptides Using Phage Display
Previous Article in Journal
Genomic Analyses of Major SARS-CoV-2 Variants Predicting Multiple Regions of Pathogenic and Transmissive Importance
Previous Article in Special Issue
Progress on Phage Display Technology: Tailoring Antibodies for Cancer Immunotherapy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Phage Display’s Prospects for Early Diagnosis of Prostate Cancer

by
Valery A. Petrenko
Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL 36849, USA
Viruses 2024, 16(2), 277; https://doi.org/10.3390/v16020277
Submission received: 30 December 2023 / Revised: 5 February 2024 / Accepted: 5 February 2024 / Published: 10 February 2024
(This article belongs to the Special Issue Phage Display in Cancer Research)

Abstract

:
Prostate cancer (PC) is the second most diagnosed cancer among men. It was observed that early diagnosis of disease is highly beneficial for the survival of cancer patients. Therefore, the extension and increasing quality of life of PC patients can be achieved by broadening the cancer screening programs that are aimed at the identification of cancer manifestation in patients at earlier stages, before they demonstrate well-understood signs of the disease. Therefore, there is an urgent need for standard, sensitive, robust, and commonly available screening and diagnosis tools for the identification of early signs of cancer pathologies. In this respect, the “Holy Grail” of cancer researchers and bioengineers for decades has been molecular sensing probes that would allow for the diagnosis, prognosis, and monitoring of cancer diseases via their interaction with cell-secreted and cell-associated PC biomarkers, e.g., PSA and PSMA, respectively. At present, most PSA tests are performed at centralized laboratories using high-throughput total PSA immune analyzers, which are suitable for dedicated laboratories and are not readily available for broad health screenings. Therefore, the current trend in the detection of PC is the development of portable biosensors for mobile laboratories and individual use. Phage display, since its conception by George Smith in 1985, has emerged as a premier tool in molecular biology with widespread application. This review describes the role of the molecular evolution and phage display paradigm in revolutionizing the methods for the early diagnosis and monitoring of PC.

1. Introduction

Prostate cancer (PC) is the second most diagnosed cancer among men [1]. It was observed that the early diagnosis of the disease is highly beneficial for the survival of cancer patients [2,3]. Therefore, the extension and increasing quality of life of PC patients can be achieved by broadening the cancer screening programs that are aimed at the identification of cancer manifestation in patients at earlier stages, before they demonstrate well-understood signs of the disease [2,3,4,5,6,7]. A significant social impact and economical effect of PC screening was estimated, taking into consideration that the cost for treating the advanced disease is much higher than the scanning cost [8]. Therefore, there is an urgent need for standard, sensitive, robust, and commonly available screening tools for the identification of early signs of cancer pathologies [9]. In this respect, the “Holy Grail” of cancer researchers and bioengineers for decades has been molecular sensing probes that would allow for the diagnosis, prognosis, and monitoring of cancer diseases via their interaction with tumor-associated cancer cells and/or blood-solubilized PC biomarkers, such as the prostate-specific antigen (PSA), the prostate cancer antigen 3 gene (PCA3), and sarcosine oxidase [2,10,11,12,13,14,15,16]. At present, most PSA tests are performed at centralized laboratories using high-throughput total PSA immune analyzers. There are clear practical advantages to using these fully automated analyzers, including lower detection limits and high-throughput samples. However, several authors noted a persistent disagreement among the PSA results obtained by different commercial immunoassays [17,18,19,20,21]. This serious drawback of the PSA immunoanalyzers can be attributed to the use of capture and tracer antibodies with different epitope specificities and affinities. Furthermore, an important limitation of PSA analyzers is that they are suitable for dedicated laboratories and are not readily available for the broad healthcare community. Therefore, the emerging trend in the screening and detection of PC is using portable biosensors for mobile laboratories and individual use [13,14,15,16,17,18,19,20,21,22]. Phage display, since its conception by George Smith, in 1985 has emerged as a premier tool in molecular biology with widespread application. This review describes the role of the molecular evolution and phage display paradigm in modernizing the methods for the early diagnosis and monitoring of PC.

2. Advanced Phage-Driven Analytical Tools for the Diagnosis of PC

New urgent requirements for fast, sensitive, accurate, and inexpensive tools for the early diagnosis of PC devalue the traditional PSA detection methods [16], such as ELISA, radioimmunoassay immunoradiometric assay, and time-resolved immunofluorescence assay, which have a complex operation, are difficult to miniaturize, and can have a limited sensitivity [23,24,25,26]. Modern immunoassays and biosensors require a biorecognition probe, which is attached to the interface of the analytical device, bind the target biological ligand, and participate in generating a measurable signal [13,14,27,28], as illustrated in Figure 1. For example, in electrochemical biosensors, the signal can be displayed in impedimetric, amperometric, or potentiometric formats.
To complement the p3-type phage display vectors, which were designed to discover therapeutic and diagnostic peptides and antibodies (Figure 2B) [29,30], the p8-type phage technology was developed with the goal creating diagnostic and detection nanoprobes by resurfacing the whole phage particles [31,32,33,34,35,36,37,38,39,40], as illustrated in Figure 2C and Figure 3. In the p8-type phage display system, called landscape phage, the dense array of foreign peptides on the body of the phage composes a unique organic landscape. The constrained conformation of individual peptides, influenced by interactions with neighboring proteins, can essentially increase their affinity to their counterpart ligands and receptors, in the same way that the scaffold of antibodies and other constrated phage-displayed molecules can determine the properties of fusion peptides [33,34,41,42,43,44], as reviewed in [45]. Therefore, each landscape phage particle can be treated as a unique nanomaterial with novel and emergent properties that cannot be observed by the use of an individual synthetic peptide alone [46]. In many applications, including the detection of soluble cancer biomarkers and cancer-cell-associated antigens, the unique architecture, extreme multivalency, and rigid scaffold of landscape phages are highly beneficial.
It was proved that the landscape libraries represent an inexhaustible, rich source of substitute antibodies—filaments that bind protein and glycoprotein antigens with nanomolar affinities and high specificity [25,33,35,36,37,44,48,49,50,51]. The foreign amino acids that form the biospecific ‘active site’ of a landscape phage comprise up to 25% of the total weight of the particle and up to 50% of its surface area, which can accommodate hundreds of bound protein antigens. More detailed information regarding the evolution of the landscape phage detector paradigm, starting from its appearance in 1996 as a distinct part of the phage display concept [42], which use the landscape phage as phage substitute antibodies in the first phage biosensor, and the development of the landscape-phage-based biosensors for the liquid biopsy of PC, can be found in the references [33,35,36,48,49,52,53,54,55,56,57,58,59,60,61,62,63,64,65].
The PC detection techniques can be divided into two major categories: (1) cancer cell imaging, and (2) cancer-cell-secreted soluble biomarker detection techniques [15]. Most analytic platforms rely on the use of monoclonal antibodies (mAb) as biorecognition probes. However, their broad application is limited by their high cost and intrinsic sensitivity to the components of body fluids [7,15,16,21,22,66,67,68,69,70,71,72]. Harnessing the power of molecular evolution, the phage display technique offers a new way of generating a rich repertoire of binding probes for any protein ligand or receptor. The idea of phage display as a molecular evolution tool lies in the genetic fusion of a foreign protein to the phage capsid and its preservation through the viral replication [29,30,31,42,73]. Considering the desirable characteristics of different display systems, filamentous bacteriophages M13 and fd were commonly preferred as suitable vectors for generating peptide- and antibody-fusion phage-displayed libraries.

2.1. Selection of Phage Probes against PC-Cell-Associated Antigens

2.1.1. Selection of PC-Cell-Binding Phages from f8-Type (Landscape) Libraries

Since it was proven that the malignant transformation of cells is linked with the expression of cell antigens, the tumor-cell-specific phage-displayed peptides and antibodies were considered prospective, versatile diagnostic and therapeutic reagents [40,74]. The first PC-cell-targeting landscape phages were discovered by Victor Romanov and colleagues [52]. It was shown that the phage-displaying N-terminal 8 mer peptide DPRATPGS was inserted in all 4000 domains of major coat protein p8, selected from the p8-type (landscape) library f8/8 (Figure 4) according to its affinity selection (biopanning), against PC cells LNCaP and their relatives C4-2 and C4-2b (Figure 5) [32]. Later, the major principles and methods of phage selection were used in the publications of other groups, but some details of the protocol were modified with the purpose of increasing the specificity and selectivity of the discovered phage probes towards the target cancer cells.
To continue this pioneering work, Prashanth Jayanna et al. used PC3 cells as target cells, as they imitate the profile of advanced prostate tumors [75]. To increase the repertoire of binding phages, the f8/9 (9-mer) library was used, in addition to the f8/8 (8-mer) library (Figure 4) [38,43]. To isolate phages with high selectivity towards PC-specific antigens, the libraies were depleted against plastic, the serum, and normal fibroblast cells before being allowed to interact with the target cells. elative affinity of selected clones towards targeted and control cells was estimated using a selectivity assay, which is based on the interaction of phage particles with PC-3M cells in comparison with other control cells (Figure 6). The affinity of phage DTDSHVNL to PC3 cells was ~9 times higher than that to either of the control cells, and 32 times higher than that to serum (cell-free media), whereas the affinity of phage DTPYLDTG to PC3 cells was ~8 times higher than to either of the control cells and 15 times higher than to serum. Note: Landscape phages were designated by the sequences of the inserted 8-mer and 9-mer peptides. The other clones that were analyzed showed a high affinity with the target cells, as well as the control cancer cells, but not to normal epithelial cells or serum, leading us to assume that these probes may be directed against a universal cancer receptor. A single clone, DVVYALSDD, isolated from the 9-mer library demonstrated an affinity to PC3 cells that was almost 80 times higher than its affinity to the control cells and 600 times than its affinity to serum (cell-free media). Surprisingly, the other analyzed clones showed high affinity to the target as well as normal epithelial cells, but not to control cancer cells or serum, indicating that they may be directed towards a receptor that is common to both tumor and normal cells. A phage bearing an unrelated streptavidin–avid peptide (VPEGAFSS) was used a control to demonstrate the specificity of the landscape phage probes.
To extend the panel of PC-imaging phage probes, Olusegun Fagbohun et al. screened landscape phage library f8/8 against metastatic PC cells PC-3M [53]. The most selective for PC-3M cells, phage EPTHSWAT, was able to penetrate the PC-3M cells, as revealed by immunofluorescence microscopy (Figure 7). The selectivity of the PC-specific phages EPTHSWAT towards PC-3M cells was studied by the phage-capture assay and demonstrated 35-fold greater binding than the non-relevant control phage VPEGAFSS. Furthermore, phage EPTHSWAT showed a statistically significant higher interaction with PC-3M cells than with other cells, RWPE-1, HT-29, and serum. This high interaction of the phage particles with PC-3M cells might be due to a specific phage’s interaction with an overexpressed PC cell antigen.

2.1.2. Selection of PC Cell Binders from p3-Type Phage-Displayed Antibody Libraries

The polyclonal antibodies purified from the serum of an immunized animal (mouse, rabbit, goat, lama, etc.) and mAb secreted by immortalized B cells from the spleen of an immunized animal are commonly used in immunological assays. Their dominant role in immunochemical applications faded after the appearance of phage-displayed antibodies, which are currently commonly used for the discovery and detection of cancer-specific antigens and biomarkers [28,30,76,77]. To isolate antibodies with the desired specificities, phage library selections must be performed on tumor-derived antigen sources. For example, the phage display strategy for the selection of rabbit monoclonal antibodies that recognize PC tumor-associated antigens was reported by Mikhail Popkov et al. [77]. Researchers immunized rabbits with either human PC cell line LNCap or DU145. Chimeric rabbit/human Fab libraries were generated through the oligo(dT)-primed, reverse transcription of RNA from the animal’s spleen and bone marrow [78]. The antibody variable domains VL and VH were amplified, fused to human constant domains CL and CH1, and cloned into the phagemid vector pComb3X. Constructed in this way, phage-displayed chimeric rabbit/human Fab libraries were screened against human PC cells DU145 using a novel whole-cell panning protocol, resulting in the discovery of clones bound selectively to DU145 cells but not to primary human prostate epithelial cell line PrEC, as detected by flow cytometry. In summary, this work first demonstrated the potential of immune antibody libraries in the identification of imaging phage probes interacting with tumor-associated cell-surface antigens. A comprehensive review describing the progress in the preparation and use of recombinant phage-displayed antibodies for bioanalytical applications was published recently by Guliy et al. [30].

2.2. Selection of Phage Probes against Prostate-Specific Antigen (PSA)

2.2.1. PSA as a PC Biomarker

PSA is a serum marker that is commonly used for the diagnosis of prostatic diseases. Normally, it is produced by epithelial cells of the prostate and mainly exists in two molecular forms: free PSA (f-PSA), 10–30% of PSAs, and the PSA-α1-antichymotrypsin complex (PSA-ACT), 70–90% of PSAs [79,80,81,82]. The sum of f-PSA and PSA-ACT is called the total PSA (t-PSA), which is regarded in clinical medicine as the important index for the early diagnosis of PC, an evaluation of the curative effect, and the post-operation monitoring [7,83,84,85,86,87]. In general, the content of t-PSA in the serum of healthy people is lower than 4 ng/mL, the level accepted as a threshold value in the clinical test of PC. When the content of t-PSA in serum is more than 10 ng/mL, the risk of PC is high; thus, the accuracy rates of the diagnosis of PC can reach 70–80% [88,89,90,91]. Therefore, joint detection of the ratio of f-PSA/t-PSA and the level of t-PSA can more accurately discriminate PC and prostate diseases. However, there is skepticism regarding the diagnostic and prognostic significance of the fPS/tPSA ratio because of the non-standard nAb used in the PSA diagnostic tests [83,92,93].

2.2.2. Selection of p3-Type Phage-Displayed Peptides against PSA

To obtain peptide ligands that specifically recognize different forms of PSA, phage-displayed linear and cyclic peptide libraries were screened against PSA-coated microplate wells or PSA supported by immobilized anti-total PSA mAbs [94,95]. In their pioneering work, Ping Wu et al. [96,97,98] discovered PSA-binding peptides by screening p3-type cyclic and linear peptide phage-display libraries. A p3-fused cyclic peptide with four bridged cysteine residues showed the highest affinity for PSA. The binding specificity was characterized by competition with the monoclonal anti-PSA antibodies of known epitope specificities. The peptides bound to the same region as mAbs specific for free PSA, indicating that they bind close to the active site of the enzyme. These results demonstrated that peptides binding to PSA and modulating its enzyme activity can be developed by the phage-display technique. However, when the discovered peptides were tested in sandwich capturing PSA assays with the anti-PSA 5D5A5 mAb, the lowest concentrations of detectable PSA was 0.2–2 mg/mL, which was not sensitive enough to allow PSA to be quantified in sera from patients with prostatic diseases where the concentration of PSA is greater than 2–4 ng/mL. In the recent study of Wang et al. [95], the elution strategy in the biopanning of p3-type phage-displayed peptide library Ph.D.–12 (New England Biolabs, Ipswich, MA, USA) against PSA was optimized by additional BSA pre-screening and serum interference. PSA-specific phage-expressing peptide TSIANYIGLALR showed the best affinity and specificity against PSA and was conjugated through C-terminal GGGGSK-biotin linker to streptavidin. This construct was used as a signal amplifier in the sandwiched ELISA system. The assay could detect total prostate-specific antigen (tPSA) with a linear range of 0.25–200 ng/mL and detection limit of 0.18 ng/mL, demonstrating the good prospects of using peptide–streptavidin conjugates as substitute signaling antibodies in t-PSA.

2.2.3. Development and Affinity Maturation of p3-Type Phage-Displayed Antibodies against PSA

The power of directed evolution and phage display was successfully used by Muller et al. to enhance the affinity and sensitivity of the immunoassay while maintaining its selectivity [99]. The original f-PSA assay, based on the use of the high-off-rate 4D4 Mab as a tracer, was less than ideal regarding the sensitivity and low-end robustness of the assay. Attempts to use the 4D4 Mab for capturing were also not successful. Using phage-display library-derived mutant L3-2 Fab with reduced off-rate dissociation constant, both configurations were possible and improved assay performances. In comparison with the wild-type scFv, the best binders showed an enhancement of sensitivity in sandwich immunoassay.

2.2.4. Selection of PSA-Binding p8-Type Multivalent Landscape Phage Probes

Target-specific landscape-phage probes can be prepared as described in commonly available protocols [25,37], as illustrated in (Figure 8). Thus, the specific phage probes against f-PSA and t-PSA were selected from the f8/8 landscape phage library [49].
Through three rounds of biopanning and phage-capture assay, novel phage clone P1- and P5-displaying octamers ERNSVSPS and ATRSANGM with the best affinity and selectivity for t-PSA were identified and used as the capture probes to establish both ELISA and the electrochemical impedance spectroscopy (EIS) assay systems (Figure 9, Figure 10, Figure 11 and Figure 12).

3. Development of Phage-Driven Biosensors for the Detection of Different forms of PSA

The critical factor that determines the efficacy of early cancer detection is the analytical platform that converts invisible molecular binding events into optical or electrical signals (Figure 1). The common methods used for the detection of cancer-specific antigens (biomarkers) include ELISA, and different types of immunosensor devices [16,48,101,102]. To date, most analytical platforms for the detection of cancer biomarkers use mAb as a sensing probe [10,14,20,68,70,103,104,105,106,107,108,109,110]. There is an urgent need for robust, inexpensive, highly sensitive, and easily available sensing probes, such as landscape phage substitute antibodies [33,42]. It was shown that the presentation of ~400 copies of heavily constrained diagnostic peptides on the surfce of the landscape phage particles allows for a a dense interface to be formed on the detection platorms with significantly increased affinity and selectivity towards the analyte markers in comparison with individual randomly conjugated peptide binders with a mostly disordered conformation [35,50,111,112].

3.1. Landscape-Phage-Driven Enzyme-Linked Immunosorbent Assay (Phage ELISA)

There are multiple variants of the ELISA technique [113,114], which include the sandwich ELISA, in which the immobilized capture antibody binds the water-soluble target antigen to form a complex, which is detected by a detector antibody that binds the captured antigen and produces a visible signal after adding a chromogenic substrate, as illustrated in Figure 1a. The landscape phage can be used in sandwich ELISA as a substitute for both capture and detection antibodies, as reviewed in [100,115]. As a substitute antibody, the landscape phage leverages the uniqueness of the p8 display system described above (Figure 1b). The landscape-phage-based signaling antibody also can benefit from phage multivalency. The t-PSA- and f-PSA-specific octapeptide-fusion landscape phages were selected from the f8/8 landscape-phage-displayed library (Figure 7), as described in the legend to Figure 8, Section 2.2.4, and related publications [25,61]. Phages selected against immobilized recombinant t-PSA and f-PSA showed the best affinity and selectivity as capture probes in a model ELISA (Figure 10) and demonstrated good sensitivity and reliability in the t-PSA and f-PSA analysis in real serum samples. This work first proved that a phage-based immunoassay can be used for the optimization of phage structure during the development of advanced PSA detection systems.

3.2. Phage-Driven Electrochemical Immunosensors for Detection of PSA

Electrochemical immunosensors attracted the attention of bioengineers as bioanalytical platforms for PC detection because of their high sensitivity, specificity, simple operation and easy miniaturization. Among the numerous electrochemical methods, the electrochemical impedance spectroscopy (EIS) not only inherits the normal advantages of electrochemical immunosensor, but also shows ultra-high sensitivity [70,116,117,118,119,120,121]. Like other immune assays, EIS technology is based on the specific immunological recognition of the ligand with the antigen [122,123]. Considering the unique smart nanomaterial properties of landscape phages, Lei Han et al. constructed the first phage-based dual f-PSA/t-PSA ratio assay [49]. As sensing probes for the construction of the sensor’s interface the researchers used landscape phages that were discovered through screening the f8/8 landscape phage library against f-PSA and t-PSA [25]. The fabricated immunosensors showed high specificity and selectivity, an ultra-low limit of detection, a wide linear detection range, excellent reusability, high reproducibility, and good stability, corresponding to the high stability and biocompatibility of the fibrous phage interface. Specifically, the phage-driven sensors demonstrated wide linear ranges (0.02–200 ng mL−1) for f-PSA; 0.02–200 ng mL−1 for t-PSA (Figure 11 and Figure 12).
The encouraging results of this study provided a novel avenue for the construction of phage-based sensors for the dual detection of f-PSA and t-PSA and analysis of the f-PSA–t-PSA ratio in human blood (Table 1). One can assume that landscape phage substitute antibodies against different forms and multiple epitopes of PSA can be obtained by using a more diverse landscape phage library f8/9 for biopanning [43] and developing novel more advanced phage-based immunosensors, as reviewed in [16].
To evaluate the practical significance of landscape-phage-based dual immunosensors, they were used to determine t-PSA and f-PSA/t-PSA in clinical serum samples, as shown in Table 1, adapted from [48].
Each sample was determined for three independent detections using different freshly constructed immunosensors. As shown in Table 1, the obtained results were in agreement with the established values and the relative errors were within 3%, indicating that the systems could reliably and reproducibly detect the concentrations of f-PSA and t-PSA in real serum samples.
To summarize, the fabrication of specific phage-based immunosensors for the ultrasensitive detection of f-PSA and t-PSA in human sera is an encouraging example of effectively harnessing the power of molecular evolution and phage display for the creation of smart detection materials that can recognize and monitor the presence of different forms of prostate cancer biomarkers in human blood [16].

4. Conclusions

The analysis of the literature data shows the good prospects of using phage-display methods for the design of analytical tools for the early detection of cancer, specifically prostate cancer. Traditionally, phage-display methods have been used for the discovery and improvement of antibodies, and their antigen-binding fragments are widely used in numerous immunochemical detection devices. Considering the huge public interest in this area of research and development [76], one can expect the further development of antibody phage display technology to improve the performance of modern detection methods. Furthermore, the tremendous success in the development of novel analytical methods for the fast, inexpensive detection of SARS viruses using novel analytical platforms and sensing materials during the COVID pandemic promoted the development of new approaches for the construction of novel biosensor platforms for the mass screening of humans for early signs of cancer. In this contest, the landscape phages described here appear competitive in comparison with novel interfaces and diagnostic probes [16]. For example, the model-phage-based electrochemical and ELISA immunosensors showed comparable limits of detection to most advanced antibody-, aptamer-, and Au-based biosensors. In contrast to other interfaces, the phage structure is extraordinarily robust, being resistant to heat, organic solvents, urea, acid, and alkali, and can tolerate different modifications that increase the efficacy of their use as detection and diagnostic probes [124]. For example, the conjugation of a phage with gold nanoparticles is a straightforward, reliable process [62], which can be easily adapted for the construction of different types of lateral flow immunoassays for point-of-care prostate-specific antigen testing [16]. Purified phages can be stored indefinitely at moderate temperatures without losing their infectivity and binding activity [46,125,126]. An important advantageous characteristic of landscape phages is their availability for safe, large-scale production, and their use in prostate cancer control, as recently reviewed [16,127,128,129].

Funding

The effort of the Author in writing the Review was supported by Auburn University.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Chhikara, B.S.; Parang, K. Global Cancer Statistics 2022: The trends projection analysis. Chem. Biol. Lett. 2023, 10, 451. [Google Scholar]
  2. Hugosson, J.; Roobol, M.J.; Mansson, M.; Tammela, T.L.J.; Zappa, M.; Nelen, V.; Kwiatkowski, M.; Lujan, M.; Carlsson, S.V.; Talala, K.M.; et al. A 16-yr Follow-up of the European Randomized study of Screening for Prostate Cancer. Eur. Urol. 2019, 76, 43–51. [Google Scholar] [CrossRef]
  3. Hawkes, N. Cancer survival data emphasize importance of early diagnosis. BMJ 2019, 364, l408. [Google Scholar] [CrossRef]
  4. Crosby, D.; Bhatia, S.; Brindle, K.M.; Coussens, L.M.; Dive, C.; Emberton, M.; Esener, S.; Fitzgerald, R.C.; Gambhir, S.S.; Kuhn, P.; et al. Early detection of cancer. Science 2022, 375, eaay9040. [Google Scholar] [CrossRef] [PubMed]
  5. Shah, N.; Ioffe, V. Early Detection of Prostate Cancer: AUA/SUO Guideline Part I: Prostate Cancer Screening. Letter. J. Urol. 2023, 210, 731. [Google Scholar] [CrossRef] [PubMed]
  6. Moghul, M.; Cazzaniga, W.; Croft, F.; Kinsella, N.; Cahill, D.; James, N.D. Mobile Health Solutions for Prostate Cancer Diagnostics—A Systematic Review. Clin. Pr. 2023, 13, 863–872. [Google Scholar] [CrossRef] [PubMed]
  7. Duffy, M.J. Tumor Markers in Clinical Practice: A Review Focusing on Common Solid Cancers. Med. Princ. Pract. 2013, 22, 4–11. [Google Scholar] [CrossRef]
  8. Jatho, A.; Mugisha, N.M.; Kafeero, J.; Holoya, G.; Okuku, F.; Niyonzima, N. Mobile cancer prevention and early detection outreach in Uganda: Partnering with communities toward bridging the cancer health disparities through “asset-based community development model”. Cancer Med. 2020, 9, 7317–7329. [Google Scholar] [CrossRef]
  9. Zhu, M.; Liang, Z.; Feng, T.; Mai, Z.; Jin, S.; Wu, L.; Zhou, H.; Chen, Y.; Yan, W. Up-to-Date Imaging and Diagnostic Techniques for Prostate Cancer: A Literature Review. Diagnostics 2023, 13, 2283. [Google Scholar] [CrossRef]
  10. Nasimi, H.; Madsen, J.S.; Zedan, A.H.; Malmendal, A.; Osther, P.J.S.; Alatraktchi, F.A. Protein biomarker detection in prostate cancer: A comprehensive review of electrochemical biosensors. Sens. Actuators Rep. 2023, 6, 100168. [Google Scholar] [CrossRef]
  11. Guliy, O.I.; Staroverov, S.A.; Dykman, L.A. Heat Shock Proteins in Cancer Diagnostics. Appl. Biochem. Microbiol. 2023, 59, 395–407. [Google Scholar] [CrossRef]
  12. Fenton, J.J.; Weyrich, M.S.; Durbin, S.; Liu, Y.; Bang, H.; Melnikow, J. Prostate-Specific Antigen-Based Screening for Prostate Cancer: Evidence Report and Systematic Review for the US Preventive Services Task Force. J. Am. Med. Assoc. 2018, 319, 1914–1931. [Google Scholar] [CrossRef] [PubMed]
  13. Singh, B.; Ma, S.L.; Hara, T.O.; Singh, S. Nanomaterials-Based Biosensors for the Detection of Prostate Cancer Biomarkers: Recent Trends and Future Perspective. Adv. Mater. Technol. 2023, 8, 2201860. [Google Scholar] [CrossRef]
  14. Liu, X.; Wang, D.; Chu, J.S.; Xu, Y.; Wang, W.J. Sandwich pair nanobodies, a pOKor electrochemical immunosensing serum prostate-specific antigen with preferable specificity. J. Pharm. Biomed. Anal. 2018, 158, 361–369. [Google Scholar] [CrossRef] [PubMed]
  15. Kumar, V.; Kukkar, D.; Hashemi, B.; Kim, K.H.; Deep, A. Advanced Functional Structure-Based Sensing and Imaging Strategies for Cancer Detection: Possibilities, Opportunities, Challenges, and Prospects. Adv. Funct. Mater. 2019, 29, 1807859. [Google Scholar] [CrossRef]
  16. Garg, S.; Sachdeva, A.; Peeters, M.; McClements, J. Point-of-Care Prostate Specific Antigen Testing: Examining Translational Progress toward Clinical Implementation. Acs Sens. 2023, 8, 3643–3658. [Google Scholar] [CrossRef]
  17. Panteghini, M. Implementation of standardization in clinical practice: Not always an easy task. Clin. Chem. Lab. Med. 2012, 50, 1237–1241. [Google Scholar] [CrossRef]
  18. Ferraro, S.; Bussetti, M.; Rizzardi, S.; Braga, F.; Panteghini, M. Verification of Harmonization of Serum Total and Free Prostate-Specific Antigen (PSA) Measurements and Implications for Medical Decisions. Clin. Chem. 2021, 67, 543–553. [Google Scholar] [CrossRef]
  19. Stenman, U.H.; Paus, E.; Allard, W.J.; Andersson, I.; Andrès, C.; Barnett, T.R.; Becker, C.; Belenky, A.; Bellanger, L.; Pellegrino, C.M.; et al. Summary report of the TD-3 workshop: Characterization of 83 antibodies against prostate-specific antigen. Tumor Biol. 1999, 20, 1–12. [Google Scholar] [CrossRef]
  20. Srinivasan, B.; Nanus, D.M.; Erickson, D.; Mehta, S. Highly portable quantitative screening test for prostate-specific antigen at point of care. Curr. Res. Biotechnol. 2021, 3, 288–299. [Google Scholar] [CrossRef]
  21. Stephan, C.; Kramer, J.; Meyer, H.A.; Kristiansen, G.; Ziemer, S.; Deger, S.; Lein, M.; Loening, S.A.; Jung, K. Different prostate-specific antigen assays give different results on the same blood sample: An obstacle to recommending uniform limits for prostate biopsies. BJU Int. 2007, 99, 1427–1431. [Google Scholar] [CrossRef]
  22. Dukle, A.; Nathanael, A.J.; Panchapakesan, B.; Oh, T.H. Role of Paper-Based Sensors in Fight against Cancer for the Developing World. Biosensors 2022, 12, 737. [Google Scholar] [CrossRef]
  23. Graves, H.C.; Wehner, N.; Stamey, T.A. Ultrasensitive Radioimmunoassay of Prostate-Specific Antigen. Clin. Chem. 1992, 38, 735–742. [Google Scholar] [CrossRef]
  24. Myrtle, J.F.; Shackelford, W.; Bartholomew, R.M.; Wampler, J. Prostate-Specific Antigen-Quantitation in Serum by IMMUNORADIOMETRIC ASSAY. Clin. Chem. 1983, 29, 1216. [Google Scholar]
  25. Lang, Q.; Wang, F.; Yin, L.; Liu, M.; Petrenko, V.A.; Liu, A. Specific Probe Selection from Landscape Phage Display Library and Its Application in Enzyme-Linked Immunosorbent Assay of Free Prostate-Specific Antigen. Anal. Chem. 2014, 86, 2767–2774. [Google Scholar] [CrossRef]
  26. Eriksson, S.; Vehniäinen, M.; Jansén, T.; Meretoja, V.; Saviranta, P.; Pettersson, K.; Lövgren, T. Dual-label time-resolved immunofluorometric assay of free and total prostate-specific antigen based on recombinant Fab fragments. Clin. Chem. 2000, 46, 658–666. [Google Scholar] [CrossRef]
  27. Peltomaa, R.; Benito-Peña, E.; Barderas, R.; Moreno-Bondi, M.C. Phage Display in the Quest for New Selective Recognition Elements for Biosensors. Acs Omega 2019, 4, 11569–11580. [Google Scholar] [CrossRef] [PubMed]
  28. Kierny, M.R.; Cunningham, T.D.; Kay, B.K. Detection of biomarkers using recombinant antibodies coupled to nanostructured platforms. Nano Rev. Exp. 2012, 3, 17240. [Google Scholar] [CrossRef] [PubMed]
  29. McCafferty, J.; Griffiths, A.D.; Winter, G.; Chiswell, D.J. Phage antibodies: Filamentous phage displaying antibody variable domains. Nature 1990, 348, 552–554. [Google Scholar] [CrossRef] [PubMed]
  30. Guliy, O.I.; Evstigneeva, S.S.; Dykman, L.A. Recombinant antibodies by phage display for bioanalytical applications. Biosens. Bioelectron. 2023, 222, 114909. [Google Scholar] [CrossRef] [PubMed]
  31. Smith, G.P. Phage Display: Simple Evolution in a Petri Dish (Nobel Lecture). Angew. Chem. Int. Ed. 2019, 58, 14428–14437. [Google Scholar] [CrossRef] [PubMed]
  32. Petrenko, V.A.; Smith, G.P.; Gong, X.; Quinn, T. A library of organic landscapes on filamentous phage. Protein Eng. 1996, 9, 797–801. [Google Scholar] [CrossRef] [PubMed]
  33. Petrenko, V.A.; Smith, G.P. Phages from landscape libraries as substitute antibodies. Protein Eng. 2000, 13, 589–592. [Google Scholar] [CrossRef] [PubMed]
  34. Petrenko, V.A. Landscape phage as a molecular recognition interface for detection devices. Microelectron. J. 2008, 39, 202–207. [Google Scholar] [CrossRef] [PubMed]
  35. Petrenko, V.A.; Vodyanoy, V.J. Phage display for detection of biological threat agents. J. Microbiol. Methods 2003, 53, 253–262. [Google Scholar] [CrossRef]
  36. Nanduri, V.; Sorokulova, I.B.; Samoylov, A.M.; Simonian, A.L.; Petrenko, V.A.; Vodyanoy, V. Phage as a molecular recognition element in biosensors immobilized by physical adsorption. Biosens. Bioelectron. 2007, 22, 986–992. [Google Scholar] [CrossRef] [PubMed]
  37. Brigati, J.R.; Samoylova, T.I.; Jayanna, P.K.; Petrenko, V.A. Phage display for generating peptide reagents. Curr. Protoc. Protein Sci. 2008, 51, 18.9.1–18.9.27. [Google Scholar] [CrossRef] [PubMed]
  38. Kuzmicheva, G.A.; Jayanna, P.K.; Sorokulova, I.B.; Petrenko, V.A. Diversity and censoring of landscape phage libraries. Protein Eng. Des. Sel. 2009, 22, 9–18. [Google Scholar] [CrossRef]
  39. Horikawa, S.; Bedi, D.; Li, S.; Shen, W.; Huang, S.; Chen, I.H.; Chai, Y.; Auad, M.L.; Bozack, M.J.; Barbaree, J.M.; et al. Effects of surface functionalization on the surface phage coverage and the subsequent performance of phage-immobilized magnetoelastic biosensors. Biosens. Bioelectron. 2011, 26, 2361–2367. [Google Scholar] [CrossRef]
  40. Scott, A.M.; Welt, S. Antibody-based immunological therapies. Curr. Opin. Immunol. 1997, 9, 717–722. [Google Scholar] [CrossRef]
  41. Petrenko, V.A.; Smith, G.P.; Mazooji, M.M.; Quinn, T. Alpha-helically constrained phage display library. Protein Eng. 2002, 15, 943–950. [Google Scholar] [CrossRef]
  42. Smith, G.P.; Petrenko, V.A. Phage display. Chem. Rev. 1997, 97, 391–410. [Google Scholar] [CrossRef]
  43. Kuzmicheva, G.A.; Jayanna, P.K.; Eroshkin, A.M.; Grishina, M.A.; Pereyaslavskaya, E.S.; Potemkin, V.A.; Petrenko, V.A. Mutations in fd phage major coat protein modulate affinity of the displayed peptide. Protein Eng. Des. Sel. 2009, 22, 631–639. [Google Scholar] [CrossRef]
  44. Knez, K.; Noppe, W.; Geukens, N.; Janssen, K.P.F.; Spasic, D.; Heyligen, J.; Vriens, K.; Thevissen, K.; Cammue, B.P.A.; Petrenko, V.; et al. Affinity Comparison of p3 and p8 Peptide Displaying Bacteriophages Using Surface Plasmon Resonance. Anal. Chem. 2013, 85, 10075–10082. [Google Scholar] [CrossRef]
  45. Gomes, M.; Fleck, A.; Degaugue, A.; Gourmelon, F.; Léger, C.; Aumont-Nicaise, M.; Mesneau, A.; Jean-Jacques, H.; Hassaine, G.; Urvoas, A.; et al. Design of an artificial phage-display library based on a new scaffold improved for average stability of the randomized proteins. Sci. Rep. 2023, 13, 1339. [Google Scholar] [CrossRef]
  46. Petrenko, V.A. Landscape Phage: Evolution from Phage Display to Nanobiotechnology. Viruses 2018, 10, 311. [Google Scholar] [CrossRef]
  47. Petrenko, V.A.; Gillespie, J.W.; De Plano, L.M.; Shokhen, M.A. Phage-Displayed Mimotopes of SARS-CoV-2 Spike Protein Targeted to Authentic and Alternative Cellular Receptors. Viruses 2022, 14, 384. [Google Scholar] [CrossRef]
  48. Han, L.; Xia, H.; Yin, L.; Petrenko, V.A.; Liu, A. Selected landscape phage probe as selective recognition interface for sensitive total prostate-specific antigen immunosensor. Biosens. Bioelectron. 2018, 106, 1–6. [Google Scholar] [CrossRef] [PubMed]
  49. Han, L.; Wang, D.; Yan, L.; Petrenko, V.A.; Liu, A.H. Specific phages-based electrochemical impedimetric immunosensors for label-free and ultrasensitive detection of dual prostate-specific antigens. Sens. Actuators B-Chem. 2019, 297, 126727. [Google Scholar] [CrossRef]
  50. Qi, H.; Wang, F.; Petrenko, V.A.; Liu, A. Peptide Microarray with Ligands at High Density Based on Symmetrical Carrier Landscape Phage for Detection of Cellulase. Anal. Chem. 2014, 86, 5844–5850. [Google Scholar] [CrossRef] [PubMed]
  51. Newton, J.R.; Kelly, K.A.; Mahmood, U.; Weissleder, R.; Deutscher, S.L. In vivo selection of phage for the optical imaging of PC-3 human prostate carcinoma in mice. Neoplasia 2006, 8, 772–780. [Google Scholar] [CrossRef]
  52. Romanov, V.I.; Durand, D.B.; Petrenko, V.A. Phage display selection of peptides that affect prostate carcinoma cells attachment and invasion. Prostate 2001, 47, 239–251. [Google Scholar] [CrossRef]
  53. Fagbohun, O.A.; Kazmierczak, R.A.; Petrenko, V.A.; Eisenstark, A. Metastatic prostate cancer cell-specific phage-like particles as a targeted gene-delivery system. J. Nanobiotechnology 2013, 11, 31. [Google Scholar] [CrossRef]
  54. Bhasin, A.; Drago, N.P.; Majumdar, S.; Sanders, E.C.; Weiss, G.A.; Penner, R.M. Viruses Masquerading as Antibodies in Biosensors: The Development of the Virus BioResistor. Acc. Chem. Res. 2020, 53, 2384–2394. [Google Scholar] [CrossRef]
  55. Jayanna, P.K.; Bedi, D.; Deinnocentes, P.; Bird, R.C.; Petrenko, V.A. Landscape phage ligands for PC3 prostate carcinoma cells. Protein Eng. Des. Sel. 2010, 23, 423–430. [Google Scholar] [CrossRef] [PubMed]
  56. Jayanna, P.K.; Bedi, D.; Gillespie, J.W.; DeInnocentes, P.; Wang, T.; Torchilin, V.P.; Bird, R.C.; Petrenko, V.A. Landscape phage fusion protein-mediated targeting of nanomedicines enhances their prostate tumor cell association and cytotoxic efficiency. Nanomedicine 2010, 6, 538–546. [Google Scholar] [CrossRef] [PubMed]
  57. Han, L.; Liu, P.; Petrenko, V.A.; Liu, A. A Label-Free Electrochemical Impedance Cytosensor Based on Specific Peptide-Fused Phage Selected from Landscape Phage Library. Sci. Rep. 2016, 6, 22199. [Google Scholar] [CrossRef] [PubMed]
  58. Liu, P.; Han, L.; Wang, F.; Petrenko, V.A.; Liu, A. Gold nanoprobe functionalized with specific fusion protein selection from phage display and its application in rapid, selective and sensitive colorimetric biosensing of Staphylococcus aureus. Biosens. Bioelectron. 2016, 82, 195–203. [Google Scholar] [CrossRef] [PubMed]
  59. Liu, P.; Wang, Y.B.; Han, L.; Cai, Y.Y.; Ren, H.; Ma, T.X.; Li, X.Q.; Petrenko, V.A.; Liu, A.H. Colorimetric Assay of Bacterial Pathogens Based on Co3O4 Magnetic Nanozymes Conjugated with Specific Fusion Phage Proteins and Magnetophoretic Chromatography. ACS Appl. Mater. Interfaces 2020, 12, 9090–9097. [Google Scholar] [CrossRef] [PubMed]
  60. Qi, H.; Lu, H.; Qiu, H.J.; Petrenko, V.; Liu, A. Phagemid vectors for phage display: Properties, characteristics and construction. J. Mol. Biol. 2012, 417, 129–143. [Google Scholar] [CrossRef] [PubMed]
  61. Wang, F.; Liu, P.; Sun, L.; Li, C.; Petrenko, V.A.; Liu, A. Bio-mimetic nanostructure self-assembled from Au@Ag heterogeneous nanorods and phage fusion proteins for targeted tumor optical detection and photothermal therapy. Sci. Rep. 2014, 4, 6808. [Google Scholar] [CrossRef]
  62. Shen, W.; Li, S.; Park, M.-K.; Zhang, Z.; Cheng, Z.; Petrenko, V.A.; Chin, B.A. Blocking Agent Optimization for Nonspecific Binding on Phage Based Magnetoelastic Biosensors. J. Electrochem. Soc. 2012, 159, B818. [Google Scholar] [CrossRef]
  63. Li, S.; Lakshmanan, R.S.; Petrenko, V.A.; Chin, B.A.; Blois, H.; Cao, B.; Chin, B.; Deutscher, S.L.; Gea, M.; Iris, F.; et al. Phage-based Pathogen Biosensors. In Phage Nanobiotechnology; Petrenko, V., Smith, G.P., O’Brien, P., Craighead, H., Kroto, H., Eds.; The Royal Society of Chemistry: London, UK, 2011. [Google Scholar]
  64. Lakshmanan, R.S.; Guntupalli, R.; Hu, J.; Kim, D.J.; Petrenko, V.A.; Barbaree, J.M.; Chin, B.A. Phage immobilized magnetoelastic sensor for the detection of Salmonella typhimurium. J. Microbiol. Methods 2007, 71, 55–60. [Google Scholar] [CrossRef]
  65. Fu, L.; Li, S.; Zhang, K.; Chen, I.-H.; Petrenko, V.A.; Cheng, Z. Magnetostrictive Microcantilever as an Advanced Transducer for Biosensors. Sensors 2007, 7, 2929–2941. [Google Scholar] [CrossRef] [PubMed]
  66. Ji, S.; Lee, M.; Kim, D. Detection of early-stage prostate cancer by using a simple carbon nanotube@paper biosensor. Biosens. Bioelectron. 2018, 102, 345–350. [Google Scholar] [CrossRef] [PubMed]
  67. Malik, S.; Singh, J.; Goyat, R.; Saharan, Y.; Chaudhry, V.; Umar, A.; Ibrahim, A.A.; Akbar, S.; Ameen, S.; Baskoutas, S. Nanomaterials-based biosensor and their applications: A review. Heliyon 2023, 9, e19929. [Google Scholar] [CrossRef]
  68. Pillay, T.S.; Muyldermans, S. Application of Single-Domain Antibodies (“Nanobodies”) to Laboratory Diagnosis. Ann. Lab. Med. 2021, 41, 549–558. [Google Scholar] [CrossRef]
  69. Fernández-Sánchez, C.; McNeil, C.J.; Rawson, K.; Nilsson, O. Disposable Noncompetitive Immunosensor for Free and Total Prostate-Specific Antigen Based on Capacitance Measurement. Anal. Chem. 2004, 76, 5649–5656. [Google Scholar] [CrossRef] [PubMed]
  70. Ghasemi, Y.; Sadeghi, M.; Ehzari, H.; Derakhshankhah, H. Label-free electrochemical immunosensor based on antibody-immobilized Fe-Cu layered double hydroxide nanosheetas an electrochemical probe for the detection of ultra trace amount of prostate cancer biomarker (PSA). Microchem. J. 2023, 195, 109460. [Google Scholar] [CrossRef]
  71. Nakhjavani, S.A.; Tokyay, B.K.; Soylemez, C.; Sarabi, M.R.; Yetisen, A.K.; Tasoglu, S. Biosensors for prostate cancer detection. Trends Biotechnol. 2023, 41, 1248–1267. [Google Scholar] [CrossRef]
  72. Saerens, D.; Frederix, F.; Reekmans, G.; Conrath, K.; Jans, K.; Brys, L.; Huang, L.; Bosmans, E.; Maes, G.; Borghs, G.; et al. Engineering camel single-domain antibodies and immobilization chemistry for human prostate-specific antigen sensing. Anal. Chem. 2005, 77, 7547–7555. [Google Scholar] [CrossRef]
  73. Smith, G.P. Filamentous fusion phage: Novel expression vectors that display cloned antigens on the virion surface. Science 1985, 228, 1315–1317. [Google Scholar] [CrossRef] [PubMed]
  74. Boon, T. Tumor antigens recognised by T lymphocytes. Eur. J. Cancer 1999, 35, S216. [Google Scholar]
  75. Jayanna, P.K.; Deinnocentes, P.; Bird, R.C.; Petrenko, V.A. Landscape Phage Probes for PC3 Prostate Carcinoma cells. In Proceedings of the Nanotechnology Conference and Trade Show (Nanotech 2008), Boston, MA, USA, 1–5 June 2008; pp. 457–460. [Google Scholar]
  76. Winter, G. Harnessing Evolution to Make Medicines (Nobel Lecture). Angew. Chem.-Int. Edit. 2019, 58, 14438–14445. [Google Scholar] [CrossRef] [PubMed]
  77. Popkov, M.; Rader, C.; Barbas, C.F. Isolation of human prostate cancer cell reactive antibodies using phage display technology. J. Immunol. Methods 2004, 291, 137–151. [Google Scholar] [CrossRef] [PubMed]
  78. Rader, C.; Ritter, G.; Nathan, S.; Elia, M.; Gout, I.; Jungbluth, A.A.; Cohen, L.S.; Welt, S.; Old, L.J.; Barbas, C.F. The rabbit antibody repertoire as a novel source for the generation of therapeutic human antibodies. J. Biol. Chem. 2000, 275, 13668–13676. [Google Scholar] [CrossRef] [PubMed]
  79. Stenman, U.H.; Leinonen, J.; Alfthan, H.; Rannikko, S.; Tuhkanen, K.; Alfthan, O. A Complex between Prostate-Specific Antigen and Alpha-1-Antichymotrypsin Is the Major Form of Prostate-Specific Antigen in Serum of Patients with Prostatic-Cancer-assay of the Complex Improves Clinical Sensitivity for Cancer. Cancer Res. 1991, 51, 222–226. [Google Scholar] [PubMed]
  80. Stamey, T.A.; Yang, N.; Hay, A.R.; McNeal, J.E.; Freiha, F.S.; Redwine, E. Prostate-Specific Antigen as A Serum Marker for Adenocarcinoma of the Prostate. N. Engl. J. Med. 1987, 317, 909–916. [Google Scholar] [CrossRef] [PubMed]
  81. Rowe, E.W.J.; Laniado, M.E.; Walker, M.M.; Patel, A. Prostate cancer detection in men with a ‘normal’ total prostate-specific antigen (PSA) level using percentage free PSA: A prospective screening study. BJU Int. 2005, 95, 1249–1252. [Google Scholar] [CrossRef]
  82. Jung, K.; Brux, B.; Lein, M.; Rudolph, B.; Kristiansen, G.; Hauptmann, S.; Schnorr, D.; Loening, S.A.; Sinha, P. Molecular forms of prostate-specific antigen in malignant and benign prostatic tissue: Biochemical and diagnostic implications. Clin. Chem. 2000, 46, 47–54. [Google Scholar] [CrossRef]
  83. Huang, H.Q.; Zhang, Y.; Xu, H.G. Different free prostate-specific antigen to total prostate-specific antigen ratios using three detecting systems. J. Clin. Lab. Anal. 2018, 32, e22231. [Google Scholar] [CrossRef] [PubMed]
  84. Lilja, H.; Oldbring, J.; Rannevik, G.; Laurell, C.B. Seminal Vesicle-Secreted Proteins and Their Reactions during Gelation and Liquefaction of Human-Semen. J. Clin. Investig. 1987, 80, 281–285. [Google Scholar] [CrossRef] [PubMed]
  85. Loeb, S.; Lilja, H.; Vickers, A. Beyond prostate-specific antigen: Utilizing novel strategies to screen men for prostate cancer. Curr. Opin. Urol. 2016, 26, 459–465. [Google Scholar] [CrossRef]
  86. McJimpsey, E.L. Molecular Form Differences Between Prostate-Specific Antigen (PSA) Standards Create Quantitative Discordances in PSA ELISA Measurements. Sci. Rep. 2016, 6, 22050. [Google Scholar] [CrossRef] [PubMed]
  87. Stephan, C.; Jung, K.; Lein, M.; Sinha, P.; Schnorr, D.; Loening, S.A. Molecular forms of prostate-specific antigen and human kallikrein 2 as promising tools for early diagnosis of prostate cancer. Cancer Epidemiol. Biomark. Prev. 2000, 9, 1133–1147. [Google Scholar]
  88. Filella, X.; Truan, D.; Alcover, J.; Quintó, L.; Molina, R.; Luque, P.; Coca, F.; Ballesta, A.M. Comparison of several combinations of free, complexed, and total PSA in the diagnosis of prostate cancer in patients with urologic symptoms. Urology 2004, 63, 1100–1103. [Google Scholar] [CrossRef]
  89. Grossklaus, D.J.; Shappell, S.B.; Gautam, S.; Smith, J.A.; Cookson, M.S. Ratio of Free-to-Total Prostate Specific Antigen Correlates with Tumor Volume in Patients with Increased Prostate Specific Antigen. J. Urol. 2001, 165, 455–458. [Google Scholar] [CrossRef]
  90. Jung, K.; Elgeti, U.; Lein, M.; Brux, B.; Sinha, P.; Rudolph, B.; Hauptmann, S.; Schnorr, D.; Loening, S.A. Ratio of Free or Complexed Prostate-specific Antigen (PSA) to Total PSA: Which Ratio Improves Differentiation between Benign Prostatic Hyperplasia and Prostate Cancer? Clin. Chem. 2000, 46, 55–62. [Google Scholar] [CrossRef]
  91. Djavan, B.; Zlotta, A.; Kratzik, C.; Remzi, M.; Seitz, C.; Schulman, C.C.; Marberger, M. PSA, PSA density, PSA density of transition zone, free/total PSA ratio, and PSA velocity for early detection of prostate cancer in men with serum PSA 2.5 to 4.0 ng/ml. Urology 1999, 54, 517–522. [Google Scholar] [CrossRef]
  92. Dorizzi, R.M.; Maltoni, P.; Sgarzani, C.; Torello, M.; Montanari, F. Spurious results for total and free prostatespecific antigen (PSA); sometimes really “a riddle wrapped in a mystery inside an enigma”. Clin. Chem. Lab. Med. 2022, 60, E91–E94. [Google Scholar] [CrossRef]
  93. Ferraro, S.; Biganzoli, E.M.; Plebani, M. Reply to: Spurious results for total and free prostate-specific antigen (PSA); sometimes really “a riddle wrapped in a mystery inside an enigma”. Clin. Chem. Lab. Med. 2022, 60, E95–E96. [Google Scholar] [CrossRef]
  94. Ferrieu-Weisbuch, C.; Michel, S.; Collomb-Clerc, E.; Pothion, C.; Deléage, G.; Jolivet-Reynaud, C. Characterization of prostate-specific antigen binding peptides selected by phage display technology. J. Mol. Recognit. 2006, 19, 10–20. [Google Scholar] [CrossRef]
  95. Wang, Y.B.; Wang, M.Y.; Yu, H.P.; Wang, G.; Ma, P.X.; Pang, S.; Jiao, Y.M.; Liu, A.H. Screening of peptide selectively recognizing prostate-specific antigen and its application in detecting total prostate-specific antigen. Sens. Actuators B Chem. 2022, 367, 132009. [Google Scholar] [CrossRef]
  96. Wu, P.; Leinonen, J.; Koivunen, E.; Lankinen, H.; Stenman, U.H. Identification of novel prostate-specific antigen-binding peptides modulating its enzyme activity. Eur. J. Biochem. 2000, 267, 6212–6220. [Google Scholar] [CrossRef]
  97. Wu, P.; Zhu, L.; Stenman, U.H.; Leinonen, J. Immunopeptidometric assay for enzymatically active prostate-specific antigen. Clin. Chem. 2004, 50, 125–129. [Google Scholar] [CrossRef]
  98. Koivunen, E.; Wang, B.C.; Dickinson, C.D.; Ruoslahti, E. Peptides in Cell-Adhesion Research. Extracell. Matrix Compon. 1994, 245, 346–369. [Google Scholar]
  99. Muller, B.H.; Savatier, A.; L’Hostis, G.; Costa, N.; Bossus, M.; Michel, S.; Ott, C.; Becquart, L.; Ruffion, A.; Stura, E.A.; et al. In Vitro Affinity Maturation of an Anti-PSA Antibody for Prostate Cancer Diagnostic Assay. J. Mol. Biol. 2011, 414, 545–562. [Google Scholar] [CrossRef]
  100. Petrenko, V.A.; Brigati, J.R. Phage as Bispecific Probes. In Immunoassay and Other Bioanalytical Techniques; Van Emon, J.M., Ed.; CRC Press: Boca Raton, FL, USA; Taylor & Francis Group: Boca Raton, FL, USA, 2007. [Google Scholar]
  101. Ferraro, S.; Bussetti, M.; Panteghini, M. Serum Prostate-Specific Antigen Testing for Early Detection of Prostate Cancer: Managing the Gap between Clinical and Laboratory Practice. Clin. Chem. 2021, 67, 602–609. [Google Scholar] [CrossRef] [PubMed]
  102. Sandúa, A.; Sanmamed, M.F.; Rodríguez, M.; Ancizu-Marckert, J.; Gúrpide, A.; Perez-Gracia, J.L.; Alegre, E.; González, A. PSA reactivity in extracellular microvesicles to commercial immunoassays. Clin. Chim. Acta 2023, 543. [Google Scholar] [CrossRef] [PubMed]
  103. Liu, A.; Zhao, F.; Zhao, Y.; Shangguan, L.; Liu, S. A portable chemiluminescence imaging immunoassay for simultaneous detection of different isoforms of prostate specific antigen in serum. Biosens. Bioelectron. 2016, 81, 97–102. [Google Scholar] [CrossRef]
  104. Andreeva, I.P.; Grigorenko, V.G.; Egorov, A.M.; Osipov, A.P. Quantitative Lateral Flow Immunoassay for Total Prostate Specific Antigen in Serum. Anal. Lett. 2016, 49, 579–588. [Google Scholar] [CrossRef]
  105. Barbosa, A.I.; Castanheira, A.P.; Edwards, A.D.; Reis, N.M. A lab-in-a-briefcase for rapid prostate specific antigen (PSA) screening from whole blood. Lab. Chip 2014, 14, 2918–2928. [Google Scholar] [CrossRef] [PubMed]
  106. Woodrum, D.L.; French, C.M.; Hill, T.M.; Roman, S.J.; Slatore, H.L.; Shaffer, J.L.; York, L.G.; Eure, K.L.; Loveland, K.G.; Gasior, G.H.; et al. Analytical performance of the Tandem®-R free PSA immunoassay measuring free prostate-specific antigen. Clin. Chem. 1997, 43, 1203–1208. [Google Scholar] [CrossRef] [PubMed]
  107. Galkin, A.; Komar, A.; Gorshunov, Y.; Besarab, A.; Soloviova, V. New Monoclonal Antibodies to the Prostate-Specific Antigen: Obtaining and Studying Biological Properties. J. Microbiol. Biotechnol. Food Sci. 2019, 9, 573–577. [Google Scholar] [CrossRef]
  108. Zhang, X.M.; Soori, G.; Dobleman, T.J.; Xiao, G.G. The application of monoclonal antibodies in cancer diagnosis. Expert. Rev. Mol. Diagn. 2014, 14, 97–106. [Google Scholar] [CrossRef]
  109. Lee, S.; Xie, J.; Chen, X.Y. Peptide-Based Probes for Targeted Molecular Imaging. Biochemistry 2010, 49, 1364–1376. [Google Scholar] [CrossRef]
  110. Stura, E.A.; Muller, B.H.; Bossus, M.; Michel, S.; Jolivet-Reynaud, C.; Ducancel, F. Crystal Structure of Human Prostate-Specific Antigen in a Sandwich Antibody Complex. J. Mol. Biol. 2011, 414, 530–544. [Google Scholar] [CrossRef]
  111. Brigati, J.; Williams, D.D.; Sorokulova, I.B.; Nanduri, V.; Chen, I.H.; Turnbough, C.L., Jr.; Petrenko, V.A. Diagnostic probes for Bacillus anthracis spores selected from a landscape phage library. Clin. Chem. 2004, 50, 1899–1906. [Google Scholar] [CrossRef] [PubMed]
  112. Smith, G.P.; Petrenko, V.A.; Matthews, L.J. Cross-linked filamentous phage as an affinity matrix. J. Immunol. Methods 1998, 215, 151–161. [Google Scholar] [CrossRef]
  113. Goldberg, M.E.; Djavadi-Ohaniance, L. Methods for measurement of antibody/antigen affinity based on ELISA and RIA. Curr. Opin. Immunol. 1993, 5, 278–281. [Google Scholar] [CrossRef]
  114. Kubota, S.; Kawaki, H.; Takigawa, M. ELISA of CCN Family Proteins in Body Fluids Including Serum and Plasma. In CCN Proteins: Methods and Protocols; Takigawa, M., Ed.; Springer: New York, NY, USA, 2017; pp. 127–138. [Google Scholar]
  115. Sanders, E.C.; Santos, A.M.; Nguyen, E.K.; Gelston, A.A.; Majumdar, S.; Weiss, G.A. Phage vs. Phage: Direct Selections of Sandwich Binding Pairs. Viruses 2023, 15, 807. [Google Scholar] [CrossRef]
  116. Arévalo, F.J.; González-Techera, A.; Zon, M.A.; González-Sapienza, G.; Fernández, H. Ultra-sensitive electrochemical immunosensor using analyte peptidomimetics selected from phage display peptide libraries. Biosens. Bioelectron. 2012, 32, 231–237. [Google Scholar] [CrossRef]
  117. Luo, Z.B.; Qi, Q.G.; Zhang, L.J.; Zeng, R.J.; Su, L.S.; Tang, D.P. Branched Polyethylenimine-Modified up conversion Nanohybrid-Mediated Photoelectrochemical Immunoassay with Synergistic Effect of Dual-Purpose Copper Ions. Anal. Chem. 2019, 91, 4149–4156. [Google Scholar] [CrossRef]
  118. Yu, Z.Z.; Tang, Y.; Cai, G.N.; Ren, R.R.; Tang, D.P. Paper Electrode-Based Flexible Pressure Sensor for Point-of-Care Immunoassay with Digital Multimeter. Anal. Chem. 2019, 91, 1222–1226. [Google Scholar] [CrossRef] [PubMed]
  119. Achi, F.; Attar, A.M.; Lahcen, A.A. Electrochemical nanobiosensors for the detection of cancer biomarkers in real samples: Trends and challenges. TrAC Trends Anal. Chem. 2024, 170, 117423. [Google Scholar] [CrossRef]
  120. Guo, X.F.; Kulkarni, A.; Doepke, A.; Halsall, H.B.; Iyer, S.; Heineman, W.R. Carbohydrate-Based Label-Free Detection of Escherichia coli ORN 178 Using Electrochemical Impedance Spectroscopy. Anal. Chem. 2012, 84, 241–246. [Google Scholar] [CrossRef] [PubMed]
  121. Daniels, J.S.; Pourmand, N. Label-free impedance biosensors: Opportunities and challenges. Electroanalysis 2007, 19, 1239–1257. [Google Scholar] [CrossRef] [PubMed]
  122. Li, L.; Zhang, S.P.; Yu, L.Z.; Zhang, W.Z.; Wei, Y.; Feng, D.X. Electrochemical Immunosensor for Detection of Prostate Specific Antigen Based on CNSs/Thi@AuNPs Nanocomposites as Sensing Platform. Int. J. Electrochem. Sci. 2022, 17, 22086. [Google Scholar] [CrossRef]
  123. Hou, L.; Tang, Y.; Xu, M.; Gao, Z.; Tang, D. Tyramine-Based Enzymatic Conjugate Repeats for Ultrasensitive Immunoassay Accompanying Tyramine Signal Amplification with Enzymatic Biocatalytic Precipitation. Anal. Chem. 2014, 86, 8352–8358. [Google Scholar] [CrossRef] [PubMed]
  124. Paramasivam, K.; Shen, Y.Z.; Yuan, J.S.; Waheed, I.; Mao, C.B.; Zhou, X. Advances in the Development of Phage-Based Probes for Detection of Bio-Species. Biosensors 2022, 12, 30. [Google Scholar] [CrossRef]
  125. Huang, S.; Yang, H.; Lakshmanan, R.S.; Johnson, M.L.; Chen, I.; Wan, J.; Wikle, H.C.; Petrenko, V.A.; Barbaree, J.M.; Cheng, Z.Y.; et al. The effect of salt and phage concentrations on the binding sensitivity of magnetoelastic biosensors for Bacillus anthracis detection. Biotechnol. Bioeng. 2008, 101, 1014–1021. [Google Scholar] [CrossRef]
  126. Sorokulova, I.B.; Olsen, E.V.; Chen, I.H.; Fiebor, B.; Barbaree, J.M.; Vodyanoy, V.J.; Chin, B.A.; Petrenko, V.A. Landscape phage probes for Salmonella typhimurium. J. Microbiol. Methods 2005, 63, 55–72. [Google Scholar] [CrossRef] [PubMed]
  127. Urusov, A.E.; Zherdev, A.V.; Dzantiev, B.B. Towards Lateral Flow Quantitative Assays: Detection Approaches. Biosensors 2019, 9, 89. [Google Scholar] [CrossRef] [PubMed]
  128. Sarkar, S.; Gogoi, M.; Mahato, M.; Joshi, A.B.; Baruah, A.J.; Kodgire, P.; Boruah, P. Biosensors for detection of prostate cancer: A review. Biomed. Microdevices 2022, 24, 32. [Google Scholar] [CrossRef] [PubMed]
  129. Wu, Y.F.; Wang, Y.L.; Huang, Z.Q.; Liu, Q. Recent advances in analysis technology for detection of prostate cancer biomarkers. Microchem. J. 2023, 190, 108740. [Google Scholar] [CrossRef]
Figure 1. (a): Sandwich PSA ELISA (A) vs. Phage PSA ELISA (B): The capture antibody (A), or phage (B) immobilized onto ELISA plates bind the analyte protein, and the detection antibodies linked to the enzyme are added to catalyze the appearance of a colored or fluorescent product. (b): PSA biosensors. A molecular interface linked to a transducer binds the analyte and generates a signal for changes in mass, capacitance, resistance, surface plasmon resonance, etc.
Figure 1. (a): Sandwich PSA ELISA (A) vs. Phage PSA ELISA (B): The capture antibody (A), or phage (B) immobilized onto ELISA plates bind the analyte protein, and the detection antibodies linked to the enzyme are added to catalyze the appearance of a colored or fluorescent product. (b): PSA biosensors. A molecular interface linked to a transducer binds the analyte and generates a signal for changes in mass, capacitance, resistance, surface plasmon resonance, etc.
Viruses 16 00277 g001
Figure 2. (Left) Electron microscopy image of the wild-type phage fd. Blue and red arrows depict the sharp and blunt ends of the phage capsid with the attached minor coat proteins p3/p6 and p7/p9, respectively (five copies each). Major coat protein p8 (~2700 copies) forms the tubular capsid around viral single-stranded DNA (scale bar: 100 nm, the length of the phage capsid ~1 µm). (Right) Peptide phage-displayed libraries. There are two essential types of phage display—display in the minor coat protein p3, and display in the major coat protein p8. (A) Phage vector fd-tet composed of 4000 copies of the p8 major coat protein (blue) and five copies of minor coat proteins p3 (pink), pVI (black), pIX (gray) and pVII (purple) each. (B,C) p3 and p8 phage display libraries. A random peptide (red) is fused to every copy of either p3 or p8 proteins. Adapted with modifications from [47]. The nomenclature of the types of phage display systems is provided in the phage display review [42].
Figure 2. (Left) Electron microscopy image of the wild-type phage fd. Blue and red arrows depict the sharp and blunt ends of the phage capsid with the attached minor coat proteins p3/p6 and p7/p9, respectively (five copies each). Major coat protein p8 (~2700 copies) forms the tubular capsid around viral single-stranded DNA (scale bar: 100 nm, the length of the phage capsid ~1 µm). (Right) Peptide phage-displayed libraries. There are two essential types of phage display—display in the minor coat protein p3, and display in the major coat protein p8. (A) Phage vector fd-tet composed of 4000 copies of the p8 major coat protein (blue) and five copies of minor coat proteins p3 (pink), pVI (black), pIX (gray) and pVII (purple) each. (B,C) p3 and p8 phage display libraries. A random peptide (red) is fused to every copy of either p3 or p8 proteins. Adapted with modifications from [47]. The nomenclature of the types of phage display systems is provided in the phage display review [42].
Viruses 16 00277 g002
Figure 3. Configuration of a 5-mer peptide displayed on bacteriophage (phage) M13. Computer rendering of a ~10 nm length for the surface of electron density maps of M13 (left), fusion phage with 5-mer peptide inserted in all copies of p8 proteins (center), and a rendering of the differences between images (right). A cylinder of 2.5 nm radius was added to images to mask the essentially identical interior features of the phages. About half of each coat protein is visible in phage surface images. Adapted from [46].
Figure 3. Configuration of a 5-mer peptide displayed on bacteriophage (phage) M13. Computer rendering of a ~10 nm length for the surface of electron density maps of M13 (left), fusion phage with 5-mer peptide inserted in all copies of p8 proteins (center), and a rendering of the differences between images (right). A cylinder of 2.5 nm radius was added to images to mask the essentially identical interior features of the phages. About half of each coat protein is visible in phage surface images. Adapted from [46].
Viruses 16 00277 g003
Figure 4. Vectors and libraries. In the nucleotide sequences corresponding to the part of recombinant gene gpVIII, encoding the N-terminal part of the major coat protein, randomized structures are designated as nnk, where n = A, T, G, or C, and k = G or T. Restriction sites for PstI and BamHI are underlined. N-terminal amino acid structures of mature recombinant pVIII proteins in libraries are indicated by capital single letters according to amino acid abbreviations. Randomized amino acids are designated by small letters (a–h in the f8/8 library and a–i in the f8/9 library). Amino acids are numbered as in vector phage f8-6 [41]. The nomenclature of the types of phage display vectors and libraries is provided in [38,42].
Figure 4. Vectors and libraries. In the nucleotide sequences corresponding to the part of recombinant gene gpVIII, encoding the N-terminal part of the major coat protein, randomized structures are designated as nnk, where n = A, T, G, or C, and k = G or T. Restriction sites for PstI and BamHI are underlined. N-terminal amino acid structures of mature recombinant pVIII proteins in libraries are indicated by capital single letters according to amino acid abbreviations. Randomized amino acids are designated by small letters (a–h in the f8/8 library and a–i in the f8/9 library). Amino acids are numbered as in vector phage f8-6 [41]. The nomenclature of the types of phage display vectors and libraries is provided in [38,42].
Viruses 16 00277 g004
Figure 5. Selection of landscape phage interacting with PC-cell-associated antigens. The most common phage survey strategy is affinity selection, called ‘biopanning’ which enriches phage particles whose displayed peptides bind the target cells in culture or whole tissues in living animals. To use biopanning for selection of landscape phages against a variety of different PC, the researchers add the library to the immobilized target cells, wash away non-bound phage, elute bound phage particles, and amplify them. After 2–4 rounds of selection, they propagate individual clones, and analyze them. This procedure was named biopanning, because it is reminiscent of panning—the process of extraction of gold particles from sand.
Figure 5. Selection of landscape phage interacting with PC-cell-associated antigens. The most common phage survey strategy is affinity selection, called ‘biopanning’ which enriches phage particles whose displayed peptides bind the target cells in culture or whole tissues in living animals. To use biopanning for selection of landscape phages against a variety of different PC, the researchers add the library to the immobilized target cells, wash away non-bound phage, elute bound phage particles, and amplify them. After 2–4 rounds of selection, they propagate individual clones, and analyze them. This procedure was named biopanning, because it is reminiscent of panning—the process of extraction of gold particles from sand.
Viruses 16 00277 g005
Figure 6. Selectivity and specificity of phage probes. Phage probes selected from preliminary screening assays were incubated with target PC3 cells, control cells, or serum-treated wells of a 96-well cell culture plate. Phages associated with cells or serum were titered in bacteria and the ratio of phage output to phage input was expressed as recovery % to obtain the measure of the selectivity of a particular clone. The % recovery of the control phage bearing an unrelated peptide relative to the selected phage probe was indicative of the probe’s specificity. (A) f8/8 library, (B) f8/9 library. Adapted from [56,75] with permission from Elsevier.
Figure 6. Selectivity and specificity of phage probes. Phage probes selected from preliminary screening assays were incubated with target PC3 cells, control cells, or serum-treated wells of a 96-well cell culture plate. Phages associated with cells or serum were titered in bacteria and the ratio of phage output to phage input was expressed as recovery % to obtain the measure of the selectivity of a particular clone. The % recovery of the control phage bearing an unrelated peptide relative to the selected phage probe was indicative of the probe’s specificity. (A) f8/8 library, (B) f8/9 library. Adapted from [56,75] with permission from Elsevier.
Viruses 16 00277 g006
Figure 7. Immunofluorescence microscopic demonstration of phage EPTHSWAT’s interaction with PC-3M cells at 15 min and 1 h in comparison with the control non-relevant phage VPEGAFSS. Adapted with modifications from [53].
Figure 7. Immunofluorescence microscopic demonstration of phage EPTHSWAT’s interaction with PC-3M cells at 15 min and 1 h in comparison with the control non-relevant phage VPEGAFSS. Adapted with modifications from [53].
Viruses 16 00277 g007
Figure 8. Schematic illustration of biopanning for t-PSA (f-PSA and PSA-ACT). The f8/8 landscape phage library was added to the dishes with different immobilized forms of PSA. Unbound phages were washed away, and bound phages were eluted and used as a sub-library in the next round of biopanning. After three rounds, the individual phage clones were propagated, and their DNA segments corresponding to gpVIII were sequenced to determine the corresponding phage-displayed peptide sequences. Detailed procedures can be found in [25,37,100].
Figure 8. Schematic illustration of biopanning for t-PSA (f-PSA and PSA-ACT). The f8/8 landscape phage library was added to the dishes with different immobilized forms of PSA. Unbound phages were washed away, and bound phages were eluted and used as a sub-library in the next round of biopanning. After three rounds, the individual phage clones were propagated, and their DNA segments corresponding to gpVIII were sequenced to determine the corresponding phage-displayed peptide sequences. Detailed procedures can be found in [25,37,100].
Viruses 16 00277 g008
Figure 9. The phages can be conjugated to the gold electrode surface using carbodiimide chemistry (A), or immobilized to the gold sensor through physical adsorption [36] (B) and analyzed by atomic force microscope (A) or electron microscopy (B). As shown in panels (A,B), myriads of filamentous phage particles were attached to the gold surface to generate an intercrossing random network. Adapted with modifications from [36,49] with permission from Elsevier.
Figure 9. The phages can be conjugated to the gold electrode surface using carbodiimide chemistry (A), or immobilized to the gold sensor through physical adsorption [36] (B) and analyzed by atomic force microscope (A) or electron microscopy (B). As shown in panels (A,B), myriads of filamentous phage particles were attached to the gold surface to generate an intercrossing random network. Adapted with modifications from [36,49] with permission from Elsevier.
Viruses 16 00277 g009
Figure 10. Standard curve for t-PSA. The schematic illustration of the phage-based ELISA for t-PSA detection is shown in the insert. The selected phage was loaded into wells of a 96-well plate. After coating the wells overnight, probes with different concentrations of t-PSA were added, and the plate was incubated at 37 °C. Then, mAb, IgG-HRP, and OPD were added successively. The absorbance values at 492 nm were linear with t-PSA concentration from 3.3 to 330 ng mL−1. The limit of detection was calculated to be 1.6 ng mL−1. Adapted from with permission of ELSEVIER [25,49].
Figure 10. Standard curve for t-PSA. The schematic illustration of the phage-based ELISA for t-PSA detection is shown in the insert. The selected phage was loaded into wells of a 96-well plate. After coating the wells overnight, probes with different concentrations of t-PSA were added, and the plate was incubated at 37 °C. Then, mAb, IgG-HRP, and OPD were added successively. The absorbance values at 492 nm were linear with t-PSA concentration from 3.3 to 330 ng mL−1. The limit of detection was calculated to be 1.6 ng mL−1. Adapted from with permission of ELSEVIER [25,49].
Viruses 16 00277 g010
Figure 11. The calibration curves of dual immunosensors after immunological recognition with different concentrations of f-PSA (left) and t-PSA (right). Adapted from [49] with permission of Elsevier.
Figure 11. The calibration curves of dual immunosensors after immunological recognition with different concentrations of f-PSA (left) and t-PSA (right). Adapted from [49] with permission of Elsevier.
Viruses 16 00277 g011
Figure 12. The selectivity assay of P1- ERNSVSPS immunosensor (A) and P5- ATRSANGM immunosensor (B) for f-PSA and t-PSA (total of f-PSA, and PSA-ACT) in comparison with other common cancer biomarkers (AFP, CA125, CA15-3, CA19-9, and hK-2) present in the serum as controls. The samples were dropped onto the phage-covered immunosensors and incubated for same time. EIS assay was performed for the above immunosensors as described. Adapted from [49] with permission from Elsevier.
Figure 12. The selectivity assay of P1- ERNSVSPS immunosensor (A) and P5- ATRSANGM immunosensor (B) for f-PSA and t-PSA (total of f-PSA, and PSA-ACT) in comparison with other common cancer biomarkers (AFP, CA125, CA15-3, CA19-9, and hK-2) present in the serum as controls. The samples were dropped onto the phage-covered immunosensors and incubated for same time. EIS assay was performed for the above immunosensors as described. Adapted from [49] with permission from Elsevier.
Viruses 16 00277 g012
Table 1. Analysis of f-PSA–t-PSA ratio in human blood.
Table 1. Analysis of f-PSA–t-PSA ratio in human blood.
f-PSA (ng mL−1)t-PSA (ng mL−1)f-PSA/
t-PSA Ratio
KnownDetectedRelative Error (%)KnownDetectedRelative Error (%)
1#1.261.24 ± 0.04−1.584.924.81 ± 0.132.230.258
2#1.711.76 ± 0.052.926.836.98 ± 0.212.190.252
3#3.583.67 ± 0.102.5110.2110.47 ± 0.352.540.351
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Petrenko, V.A. Phage Display’s Prospects for Early Diagnosis of Prostate Cancer. Viruses 2024, 16, 277. https://doi.org/10.3390/v16020277

AMA Style

Petrenko VA. Phage Display’s Prospects for Early Diagnosis of Prostate Cancer. Viruses. 2024; 16(2):277. https://doi.org/10.3390/v16020277

Chicago/Turabian Style

Petrenko, Valery A. 2024. "Phage Display’s Prospects for Early Diagnosis of Prostate Cancer" Viruses 16, no. 2: 277. https://doi.org/10.3390/v16020277

APA Style

Petrenko, V. A. (2024). Phage Display’s Prospects for Early Diagnosis of Prostate Cancer. Viruses, 16(2), 277. https://doi.org/10.3390/v16020277

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop