Comparison of aptamer and antibodies.
Abstract
Early diagnosis improves the prognosis for cancer patients by allowing early intervention to slow or prevent cancer development and lethality. Aptamers are short single-stranded oligonucleotides that have a length of about 25–80 bases. They are produced chemically and extracted using the systematic evolution of ligands by exponential enrichment (SELEX). The use of aptamers as diagnostic tools in cancer is highly recommended due to their ability to recognize various cancer-related molecules and biomarkers with high affinity and specificity. Despite the clear advantages of aptamers, the potential of aptamers in cancer diagnosis is yet to be reached. This chapter will present the best available knowledge on using aptamers as the biorecognition element in the development of cancer biosensors. We will first present the advantages of aptamers in cancer diagnosis as well as various types of SELEX methods with emphasis on clinically relevant samples such as serum, whole cells, and tissue slices. We will also cover the various aptamer detection platforms, such as colorimetric, fluorescence, and electrochemical platforms. Furthermore, the updates on aptamers specific to KRAS mutation detection in cancer will be reviewed. Finally, the future direction of aptamers in cancer diagnosis will also be discussed.
Keywords
- aptamer
- SELEX
- KRAS
- cancer
- colorectal
1. Introduction
Cancer is a noncommunicable disease that is the second leading cause of death worldwide [1]. Early detection and effective treatment can save life. This is because early detection of cancer is crucial as it allows for timely intervention and treatment before cancer has a chance to metastasize to other parts of the body [2]. Furthermore, it also increased the chances of successful treatment, as the types or mutations of tumors can be screened to determine the most appropriate anticancer drugs for treatment.
Biosensor is a detection device that consists of a biorecognition element for the selective binding of target analytes and a transducer element for converting the binding event to electrical or optical signals (Figure 1) [3]. The biorecognition element typically uses biological molecules, such as enzymes, antibodies, or DNA/RNA, for rapid detection of chemicals or biomarkers in various fields such as cancer diagnostic. One of the biorecognition elements is aptamers, which are gaining more attention as they can be used to replace antibodies for biomarker discovery and specific diagnostics.
Literally, aptamer means “to fit” (aptus) in Latin. It reflects the important properties of aptamer, which are ability to fold into complex tertiary structures and ability to bind with high affinity [4]. Aptamers are typically single-stranded, 60–100 base pair of nucleic acids has gained tremendous interest as the biorecognition element in the diagnostic tool. There are DNA, RNA, XNA, and peptide aptamers that can be used to detect a wide range of targets. These aptamers differ by the selection process, affinity, and secondary structure formation. DNA aptamer was more preferred because it is more stable due to the C-H bond in the 2′ position of the deoxyribose sugar of the DNA nucleotide [5]. On the other hand, RNA aptamers need stable chemical modification for
The main diagnostic figures of merit of aptamer-based approaches are their high sensitivity, specificity, and selectivity. In cancer, the biomarkers are often present at very low concentrations in a highly complex matrix of blood or serum, which can make the diagnosis difficult [8]. Aptamers can overcome the problems as they are able to detect the presence of a target molecule at low concentrations with high accuracy. For example, high levels of cancer biomarker proteins such as prostate-specific antigen (PSA) in blood could indicate prostate cancer. An aptamer-based biosensor developed by Shayesteh et al. was able to detect PSA level as low as 20 pg./mL in human blood serum [9]. Other than that, Xia et al. developed an aptasensor to detect the presence of cancer exosomes with detection limit of 5.2×105 particles/mL [10].
The speed and convenience of aptamer-based diagnostic methods are also important figures of merit. Their rapid and convenient methods can be easily performed in a clinical setting with minimal sample preparation and processing, which are highly desirable for practical diagnostic applications. Many studies have been done to developed aptasensors that can be used for diagnostic assay in clinical diagnostic laboratories especially those that utilize optical such as colorimetric or fluorescence, and electrochemical sensing platforms [11, 12, 13, 14]. Other than that, aptamers are more stable to thermal denaturation when compared to antibodies. It also possesses a longer shelf-life and has no strict requirement for delivery and storage [11].
As summarized in Table 1, aptamers can perform beyond what antibodies can offer in diagnostic field. However, the application of aptamer in diagnostic field is still not widely used. This is due to the equipment and processes being uncommon for a clinical laboratory and lack of standardized protocols [15]. Thus, it is important to encourage aptamer-based diagnostic methods that are simple yet rapid and reliable that could be adapted in the point-of-care format for real field applications. This chapter aims to present the best available knowledge on using aptamers as the biorecognition element in the development of cancer biosensors. Different type of SELEX methods used to generate aptamers that target cancer biomarkers in clinically relevant samples such as blood serum, whole cells, and tissue slices was covered. Furthermore, the updates on aptamers specific to KRAS mutation detection in cancer are reviewed.
Aptamer | Antibodies |
---|---|
Small (~5–25 kDa) | Relatively big (>125 kDa) |
Chemically synthesis | Requires biological systems |
Low batch to batch variations | Antibodies activity varies from batch to batch |
Low immunogenicity | High immunogenicity |
Pharmacokinetics parameters can be changed on demand | Difficult to modify pharmacokinetics parameters |
Wide range of targets | Immunogenic molecules |
Efficient cellular internalization | Poor internalization into cells |
Unlimited shelf life | Limited shelf life |
Wide variety of chemical modifications to molecule for diverse functions | Limited modifications to molecule |
Sensitive to nuclease degradation | Resistant to nuclease degradation |
Very stable | Sensitive to temperature and pH changes |
2. SELEX methodology
Nucleic acid aptamers are derived from the systematic evolution of ligands by exponential enrichment (SELEX) methodology. In this method, an aptamer that has 60–100 nucleotides that can bind specifically to target is isolated from a random library of double-stranded DNA (dsDNA). Then, the dsDNA library is used to synthesize a single-stranded DNA (ssDNA) library or undergoes
A variety of SELEX has been developed to obtain aptamers for various targets for cancer diagnosis and treatment (Table 2). To name a few, there are cell-SELEX, tissue-SELEX, SOMAmer-SELEX,
Type of cancer | Aptamer | Type | SELEX | Biomarkers | Ref. |
---|---|---|---|---|---|
Bladder | EN2-binding ssDNA aptamer spl3 | DNA DNA | N/A Cell-SELEX | Engrailed-2(EN-2) Cytoskeleton-associated protein 4 (CKAP4) | [18] [19] |
Colorectal | Apta-3, Apta-5 Seq-2 ApC1 | DNA DNA DNA | Protein-SELEX Serum-SELEX Cell-SELEX | Carcinoembryonic antigen (CEA) in T84 cells. N/A Caco-2 | [20] [21] [22] |
Prostate | A9, A9g, A10, A10-3, A10L, A10-3.2, A10-3-J | RNA | Cell-SELEX | PSMA | [23, 24, 25, 26] |
Wy-5a, DML-7, AMH, CSC1, CSC13, E3, PSap4#5, S3.1/S2.2 | DNA DNA | Cell-SELEX Cell-SELEX | Prostate cancer cell lines, MUC-1 protein | [27, 28, 29, 30, 31, 32] [33] | |
Gastric | Seq-3, Seq-6, Seq-19, Seq-54 dual-aptamer (EpCAM and PTK7)-modified immunomagnetic Fe3O4 particles (IMNs) NCL-Apt-miRNA let-7d chimera PDGC21-T, PDGC21-T-QD cy-apt 20 | DNA DNA DNA DNA DNA | Serum-SELEX Cell-SELEX N/A Cell-SELEX Cell-SELEX | APOA1, APOA4, PARD2, Importin subunit α-1 Circulating tumor cells (CTCs) Nucleolin BGC-823 cells, PDGC tissues AGS cells | [34] [35] [36] [37] [38] |
Breast | SE15-8 ex-50.T | RNA RNA | Exo-SELEX | ErbB2 protein Exosomes | [39] [40] |
CD63-1 and CD63-2 sk6Ea MF3Ec SKBR3-R1Tr Apt1, Apt2 | DNA DNA DNA DNA DNA | Competitive-SELEX Cell-SELEX Cell-SELEX 3D cell-SELEX Cell-SELEX Cell-SELEX | CD63 protein HER2 protein Cell membrane protein PHB2, Luminal A breast cancer subtype SKBR3 cells MDA-MB-231 cells | [41] [42] [43], [44] [45] [46] | |
Cervical | HPV-07 C-9S | DNA DNA | SOMAmer-SELEX Cell-SELEX | Type 16 virus-like-particle (VLP) Ca Ski cells, Hela cells | [47] [48] |
Hepatocellular | LY-1, LY-13, LY-46, LY-32, LY-27/45, LY-7/43 | DNA | Cell SELEX | HCCLM9 cells | [49] |
Various | Ep-DT3-DY647 AS1411 | RNA DNA | Cancer stem cells (CTCs) Nucleolin | [50] [51, 52, 53, 54] |
2.1 Cell-SELEX
In general, cell-SELEX uses intact and living cells as the target to screen a panel of oligonucleotides against multiple cell surface proteins and other macromolecules [55]. The target cells usually were cancer cells, normal cells as contrast cells, or genetically engineered cells that expressed target proteins. This type of SELEX is effective in developing aptamers for cancer biomarker discovery. A major advantage of using cell-SELEX is that the aptamer selection can be performed without prior knowledge of the target protein [56]. Furthermore, aptamers generated using this process can recognize their target in native form as it is not affected by protein purification processes [56]. However, it is important to avoid cell death or remove dead cells population during the selection process. This is because dead cells can cause false positives due to nonspecific uptake and binding of oligonucleotides, thus hampered the selection process [56, 57]. High-speed fluorescence activating sorting (FACS) can be used to separate between live and dead or damaged cells [58]. Aptamer selection using this type of SELEX is costly and challenging due to the dynamic and multifaceted structure of the cell membrane as it contains various interacting molecules, such as phospholipids, receptors, transporters, and membrane proteins. Membrane proteins are often embedded within or associated with cell membranes, thus separating aptamers that bind to them can be difficult.
In cell-SELEX method, whole cells are used as targets for aptamers selection. The aptamers selected using this type of SELEX were able to recognize cell surface markers or other cell-associated targets [59]. There were various types of aptamers selected using cell-SELEX that showed the prospects as diagnostics tool in cancer. It has been shown that nucleolin, a cell-surface protein, was often over-expressed in multiple cancer cells [60, 61, 62]. Studies showed that AS1411 which is an aptamer selected using cell-SELEX can bind to nucleolin with high affinity [52, 63]. AS1411 was used together with other conjugates for targeted cancer cell imaging. For example, AS1411 aptamer labeled with positron emission tomography (PET) was used as diagnostic imaging agent to detect lung cancer [54]. It can also be conjugated with proteolysis targeting chimeras (PROTAC), gold nanoclusters (GNCs), or carbon dots (CDs) for use in cancer cells targeted imaging [51, 53, 64, 65]. Another study demonstrated that utilizing this aptamer linked with a polymer probe can enable precise and high resolution of nucleolin on the cell surface with selectivity [66].
Prostate-specific membrane antigen (PSMA) is a transmembrane protein, expressed by prostate cancer, hence excellent target for prostate cancer screening [67]. PSMA-specific RNA aptamers, A10 and A9, and DNA PSA-specific aptamer PSap4#5 were the most studied aptamer for prostate cancer diagnosis [68]. A modified version of the A10 aptamer sequence with 2′-fluoro pyrimidine modification that is more stable and less prone to degradation in biological fluid has been developed to make it a potentially more effective diagnostic tool for prostate cancer.
2.2 Tissue-SELEX
Aptamers selected using the tissue-SELEX method could improve target recognition
2.3 Protein-SELEX
In protein-SELEX, a library of random nucleic acid sequences is incubated with the target protein of interest. The sequences that bind to the protein are then separated from the unbound sequences by using chromatography. In comparison with conventional SELEX, this type of SELEX is utilized for the discovery of novel aptamer for known purified proteins. However, aptamers selected using protein-SELEX may not be able to recognize their corresponding targets
2.4 Serum-SELEX
Serum is a complex mixture of proteins, lipids, hormones, enzymes, electrolytes, and other small molecules. These components can interfere with the detection of cancer biomarkers. Interestingly, aptamers have very high specificity as they can bind to specific epitope on the target molecule, thus lower false-positive rate compared to antibodies, which sometimes can cross-react with similar molecules. In serum-SELEX, the pooled serum is used as target to ensure the diversity of specific target [72]. Negative selection or also known as counter-selection is the initial step that is designed to eliminate sequences that bind to normal serum (Figure 2). After exposure to normal serum, the remaining unbound sequences are then carried forward to the next round for positive selection [34]. The unbound sequences are exposed to the target molecule again for further enrichment. Thus, aptamers with improved specificity and selectivity can be obtained for diagnostic application. For example, Apt-5 can bind to human CLEC3b, which plays an important role in infection, inflammation, and tumor immunity [73, 74]. Aptamer Apt-5 can be used as a molecular probe to detect lung cancer. Other than that, a study by Li et al. successfully identified six different aptamers that have high specificity and strong affinity to the sera of lung cancer patients [75]. These aptamers could be further developed as probes for early diagnosis of lung cancer (Figure 3).
2.5 Toggle-SELEX
Toggle-SELEX is used to select a species of the cross-reactive aptamer. This type of SELEX is used to generate aptamers that can bind to two different targets. During the selection process, the target molecules are alternated in each round; thus, the selected aptamers can bind both targets most likely to domains conserved between the protein targets. One of the aptamers generated using this type of SELEX was Toggle-25 thrombin aptamer that is used for plasma clot formation and platelet activation [76]. Aptamers generated from toggle-SELEX will facilitate the transition of aptamers from animal models to human subjects.
3. Aptamer for rapid testing and detection platforms
Early detection of cancer often requires the testing of bodily fluids, such as blood, serum or plasma, and tissues. Most of the current design of aptamer-based detection systems often does not account for interfering substances in biological fluids. Using biological fluids such as blood, urine or serum for cancer diagnostic has several challenges. The main reason is a low abundance of cancer biomarkers in blood, making it difficult to detect them using conventional diagnostic assay. This requires the development of highly sensitive and specific assays to accurately detect and quantify cancer biomarkers in blood.
Blood has high nuclease activity; thus, the aptamers must be modified to increase their stability, such as adding sugar, base, or backbone modifications. In addition, the serum is also used for cancer biomarkers detection. However, the components of blood and serum are complex and often difficult to detect low-concentration cancer biomarkers, which hinder early cancer diagnosis. One way to increase the stability and resistance of aptamers against 3′-exonucleases in human serum is by capping the 3′-end with inverted deoxy-thymidine or adding 3′-biotin modification [77]. Studies show that 3′ biotin aptamer modification results in enhanced 3′-nucleases resistance and decrease aptamer clearance from blood circulation
The majority of aptamer-based analytical systems (aptasensors) use optical-based test system that includes colorimetric, fluorescent, and luminescence. Colorimetric aptasensors, such as aptamer-linked immunosorbent assay (ALISA), enzyme-linked oligonucleotide assay (ELONA), or enzyme-linked aptamer assay (ELASA), are dependent on color change of the solution by naked eyes or quantified by using spectrophotometer [80]. Aptamer-based ELISA uses aptamers instead of antibodies to detect the presence of a specific target in a sample. The aptamers can be immobilized on a plate and capture the target, which will be detected using a secondary reagent. Sandwich-type colorimetric aptasensors are known for their high specificity and selectivity, but they typically require the use of aptamer/antibody pairs. Thus, developing completely antibody-free or aptamer/aptamer sandwich-type assays would improve the sensitivity and specificity [11] Other than that, an aptamer can also be immobilized on a test strip and will bind to a specific target such as cancer-related protein in aptamer-based lateral flow assay. This low-cost method has been used to detect various cancer biomarkers such as CD63, CA125, and human osteopontin utilizing nanogold particles as the visualization probe [81, 82, 83]. Other than that, the combination of surface-enhanced Raman spectroscopy and lateral flow assay (SERS-LFA) was able to produce convenient, rapid, and sensitive detection of thrombin and platelet-derived growth factor-BB (PDGF-BB) associated with the prostate cancer [84]. Man et al. have developed a chemiluminescence enzyme-linked aptamer assay to simultaneously detect VEGF and CEA cancer biomarkers [85].
Fluorescence-based assays can be used to detect the binding of aptamer to its target molecule by measuring changes in fluorescence polarization or intensity. Labeling the aptamer or target molecules using fluorophores and their signal detection is based on fluorescence resonance energy transfer (FRET), which will reflect the extent of the aptamer-target binding process, thus allowing the quantitative measurement of the target concentration [86]. Several fluorescence biosensors based on aptamers have demonstrated promising results in biological samples such as serum, blood, and urine. Study by Liang et al. showed that aptamers labeled using fluorescence dye and graphene oxide can be used to detect oncoprotein PDGF-BB [87]. In another study, fluorescent probes were used to detect angiogenin in serum samples of healthy and cancer patients [88, 89]. Overall, fluorescence-based assays for aptamer detection can offer real-time monitoring, multiplexing, and nondestructive detection capabilities as reviewed in Ref. [86].
Electrochemical detection platform is based on the measurement of electrical properties such as current or voltage changes due to the binding of an aptamer to its target. The electrode surfaces used in electrochemical aptamer detection include gold electrode [90], carbon electrode [91, 92], and screen-printed electrode [93]. These platforms can support point-of-care testing (POCT) as it allows real-time detection of cancer biomarkers and enables faster diagnosis and treatment [94].
4. Aptamers specific to KRAS mutation
RAS, a guanine nucleotide-binding protein, functions as a transmission of extracellular signals to the interior of the cell. The RAS family is mainly involved in the Ras-Raf-MAPK cell signaling pathway, which plays a key role in cell proliferation, differentiation, and survival [95]. RAS exists in two conformations that can be reversibly switched to an active (guanosine triphosphate [GTP]) or inactive (guanosine diphosphate [GDP]) state through interaction with guanine nucleotide exchange factors or GTPase-activating proteins (GAP). Mutation in RAS causes defective intrinsic GTPase function leading to persistent activations of Ras-Raf-MAPK pathway. Therefore, RAS superfamily is known as proto-oncogenes, involving Harvey-RAS (HRAS), neuroblastoma-RAS (NRAS), and two splicing variants of Kristen-RAS (KRAS) (KRAS4A and KRAS4B) [96]. About 20% of human tumors are associated with point mutations in the GTPase domain of the RAS gene. Oncogenic NRAS mutations are found in 15–30% of cutaneous malignant melanoma, whereas HRAS mutations are found mostly in oral cavity tumors and hepatocellular carcinomas [97]. To date, oncogenic KRAS mutations are the most frequent and are commonly found in pancreatic (>80%), colorectal (40–50%), and lung (30–50%) carcinomas [98]. Overall, mutations in KRAS genes are necessary for an early event and maintenance of tumorigenesis.
Substitution mutations in the KRAS gene account for 60% of all colorectal cancer cases. Of those, approximately 83% involve codon 12 and 14% involve codon 13, while codon 61 accounts for a minor proportion (2%) [99]. These allelic mutations are located near the GTP binding site, whereby the most clinically frequent substitution from glycine (G) to aspartate (D) was found to occur on codon 12. In primary metastatic colorectal carcinoma, a change in amino acids from glycine (G) to valine (V) at codon 12 occurred more often and this was linked to early mortality. Li et al. suggested that G12D and G12V mutations were independent prognostic factors for poor prognosis in colorectal cancer patients [100]. Similarly, the most frequent substitution of glycine (G) with aspartate (D) in codon 13 has been shown to be associated with the reduced survival rates in colorectal cancer patients [101].
Although RAS isoforms are highly conserved proteins, their carboxy-terminal domain is diverse in terms of structure and posttranslational modifications. After examining the lysine-rich polybasic carboxy-terminal region of KRAS protein, Tanaka and his group were able to identify RNA aptamers that directly target the KRAS4B isotype protein [102]. They applied an improved SELEX method using isothermal RNA amplification to isolated RNA aptamers targeting activated KRAS proteins. A farnesylated peptide model was used to mimic the carboxy-terminal region of KRAS protein for the selection of RNA aptamers against an affinity column. After eluting out the specific binding RNA aptamers from the column, sequences of two binding aptamers were revealed. The binding affinity of these aptamers to the farnesylated peptide is 10-fold stronger than binding to nonfarnesylated peptide indicating these aptamers could recognize the hydrophobic farnesyl moiety of KRAS4B.
In contrast to the discovery of aptamers targeting KRAS4B, C-terminal domain-binding aptamers were unable to distinguish the oncogenic mutant KRAS protein from wild-type KRAS protein. Hence, an RNA aptamer that specifically binds to mutant KRAS protein was engineered using SELEX method [103]. The aptamer selected in this study has a 50-fold greater affinity for mutant KRAS G12V than for wild-type KRAS, whereby KRAS G12V are known to account for 33.6% of total KRAS mutations. In order to study the targets, cDNA-encoding human wild-type KRAS and KRAS G12V proteins were cloned into pET28a(+) expression vector and expressed in
5. Conclusion and future direction
Cancer diagnosis often relies on detecting specific biomarkers such as cancer antigens or circulating tumor cells in the serum, cancer tissues, or blood. Aptamers can be designed to bind to these biomarkers and used as the basis for diagnostic tests. They also hold promise as a powerful tool for cancer diagnosis due to their specificity, sensitivity, and versatility. Most cancer biomarkers discovered today are shared among two or more cancer types. Thus, multiplexing of aptamer-based diagnostic assays could greatly improve the accuracy and sensitivity of cancer diagnosis. For colorectal cancer, the search for KRAS mutation variants aptamers is of utmost importance to distinguish patients who will respond to therapy such as epidermal growth factor-based therapy. Incorporation of the existing biosensor device (e.g., glucometer) with the aptamer-based assay could enhance the translation of aptamer-based assay by omitting the design manufacturing and validation of the prototype [80]. Overall, more research is needed to develop clinically relevant aptamers as a diagnostic tool that holds great promise for the future.
Acknowledgments
We would like to thank UCSI University for funding through the Research Excellence and Innovation Grant (REIG-FAS-2022/047).
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