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Application of electrochemical aptasensors in detection of cancer biomarkers

Masoud Negahdary 1, *
Ali Moradi 2
Hossein Heli 1
  1. Nanomedicine and Nanobiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
  2. Department of Biochemistry, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Correspondence to: Masoud Negahdary, Nanomedicine and Nanobiology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. Email: [email protected].
Volume & Issue: Vol. 6 No. 7 (2019) | Page No.: 3315-3324 | DOI: 10.15419/bmrat.v6i7.558
Published: 2019-07-28

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Copyright The Author(s) 2024. This article is published with open access by BioMedPress. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

Today, the late diagnosis of cancers is a big challenge, and using novel diagnostic techniques will provide essential, faster and more accurate treatments. Unfortunately, existing common and traditional diagnostic methods have not been helpful completely and most cancers are diagnosed too late. Recently, researchers have found new diagnostic methods against cancers by aptasensors; these sensory systems can detect involved biomarkers in various cancers so that the research in this field is continued strictly. Aptasensors can detect cancer markers in small quantities and high selectivity; moreover, other advantages of cancer aptasensors such as optimized time and cost saving can be considered. In addition, the aptasensors have been used in the diagnosis of the effective and related factors in cancer therapy follow-up. Here, the most researches about cancer aptasensors and other involved markers were collected, reviewed and described.

 

Introduction

Changes in the traditions of lifestyle have led to the transform the dietary patterns, including increased intake saturated fat and reduced the fruits and vegetables, air pollutant, stress, different waves, . These major elements have led to the increased prevalence of non-communicable diseases such as cardiovascular disease, cancer, diabetes, 1,2,3,4,5,6. The sudden and uncontrolled growth of cells in a part of the body caused by genetics and inheritance, some viruses, environmental hazards (smoking, ionizing radiation, and chemicals) or pattern and lifestyle in terms of diet, the reduced time of exercise and increased stress are considered as the related risk factors of various cancers7,8,9,10,11. Annually, millions of cancer cases are found in the world. At the early stages, the diagnosis of cancerous cells are limited and complicated12,13,14,15; One of the main problems in the cancer treatment is the lack of a suitable method for early diagnosis16,17. The big challenge associated with various cancers is the delayed diagnosis and the occurrence of metastasis18,19. However, the detection of cancers at the early stages is usually impossible with existing methods20,21. Delay in the treatment will lead to metastasis20,21. Along with the late diagnosis, cancer involves other organs and tissues leading to difficult treatment process20,21. One of the main goals of the researches is finding biomarkers to detect cancer at early stages22,23,24. Generally, biomarkers refer to a group of measurable indicators of some biological conditions25,26. Biomarkers are often evaluated for the study of natural biological processes, the diagnosis of pathogenic processes or the response to a specific treatment. In recent years, special biomarkers have been used extensively to identify various diseases. Non-invasive, sensitive and cost-effective measurement, stability in the samples, specified diagnosis, early identification before the onset of symptoms, are main characteristics that can be desirable for a biomarker27,28. Over the past three decades, the use of synthetic DNA or RNA single-stranded oligonucleotides (aptamers) was expanded in various fields of biology and medicine in through different ways29,30,31. Aptamers can capture their molecular targets with high affinity and specificity. These properties are related to the ability of this category of biological molecules to interact with other molecules by refolding and conformational changes32,33. Aptasensors are kinds of biosensors that aptamers (DNA or RNA oligonucleotide sequences in a single strand status) act as the biorecognition element in their structure34,35. Given that the used aptamers in aptasensors are synthetic, the affinity and specificity of aptasensors towards the analytes can be controlled and enhanced36,37. Aptasensors can detect analytes in very small amounts where these minimalistic amounts are not detectable with most of the other existing methods38,39; in addition, the low cost for designing the aptasensors compared to other cancer diagnostics methods should be considered as one of the economic savings40,41. Other considerable advantages of aptasensors compared to other available diagnostic techniques are low detection time and fast detection process 34,36,39,40,42. In this review, the applications of aptasensors in order to the diagnosis of cancer biomarkers were collected and reviewed from related researches.

Electrochemical aptasensors

Electrochemical biosensors are attended by numerous advantages, including simplicity, low cost, high selectivity and high sensitivity. Hence, these sensors have become powerful tools in various biomedical fields, especially the diagnosis of diseases. Electrochemical sensors are typically classified as amperometric sensors, potentiometric sensors, and impedance sensors. Electrochemical sensors consist of three main components, including biorecognition element, transducer and detector. In electrochemical aptasensors, the biorecognition element is aptamer. This biorecognition element is usually chosen to have the most affinity against analyte. The principle of diagnosis in electrochemical aptasensors is based on redox behavior. In the absence of an analyte in the environment, the redox molecules are placed at a specified distance near the aptamer, which will lead to recording an electrochemical current. In the presence of analyte molecules in the environment, due to the specific affinity between aptamer and analyte, analyte molecules are captured and absorbed by aptamer molecules, which lead to the placement of redox molecules at different distances; this approach creates and records a different electrochemical current 43,44,45,46. By evaluating and comparing recorded electrochemical currents, it is possible to detect analytes quantitatively and in very small amounts by these electrochemical aptasensors.

Aptasensors for detection of vascular endothelial growth factor (VEGF)

In a research, Qureshi . tried to design an aptasensor in order to detect the VEGF in human serum47. VEGF as a signaling angiogenesis protein is related to some cancers; this research tried to use the dielectric measurements between aptamer and surface of the gold electrode in the absent/presence of VEGF. They offered an early and sensitive diagnosis method for VEGF in the range of 0.5 to 2 ng mL. In another research, designing an electrochemical aptasensor for detection the human mucin-1 (MUC1) and VEGF tumor markers were investigated by Zhao . 48. They used of a three-electrode system whereas the working electrode was gold and the redox marker was ferro/ferricyanide [Fe(CN)]. The results of this study showed that this aptasensor was able to detect MUC1 and VEGF tumor markers up to 20 nM (as the highest response). Cho. designed an aptasensor for early detection of VEGF165 49. The detection range of this experimental work was in a linear range from 25 pg mL to 25 μg mL. In this work, the gold nanoparticles were used in order to improve the metal fluorophore interactions; the authors compared all achieved experimental results with enzyme-linked immunosorbent assay (ELISA) and this comparison confirmed the successful design of VEGF165 aptasensor. Amouzadeh Tabrizi . tried to design an electrochemical aptasensor in order to detect of VEGF165 tumor marker (10.0 to 300.0 pg mL) in the serum of lung cancer patients50. In their electrochemical measurements, several screen-printed electrodes (SPE) were used and main applied electrochemical detection techniques were cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) in an electrolyte containing [Fe(CN)] as redox marker. Another aptasensor was designed to detection the VEGF (0 to 200 nM) based on surface plasmon resonance (SPR)51.

Aptasensors for detection the prostate-specific antigen (PSA)

PSA is considered as the major prostate cancer marker within the blood samples of patients; In a research Jolly. tried to design an aptasensor for PSA 52; their analyses were determined based on the EIS method. The low detection ability of the analytes is a very important aim in all aptasensors and diagnostic methods; The PSA was detected in the range lower than 1 ng mL in the mentioned work. In another research, the PSA detection was followed through a nanoaptasensor where the gold nanoparticles were encapsulated by graphitized mesoporous carbon 53. In this research, the electrochemical detection technique was differential pulse voltammetric (DPV) and this aptasensor could detect PSA in the patient’s serum in the range of 0.25 to 200 ng mL. Designing an electrochemical aptasensor against PSA antigen using goldnanospears was followed by Rahi . 54. They tried to detect PSA in the range of 0.125 to 200 ng mL and the limit of detection (LOD) in their research was about 50 pg mL. In the mentioned research, a 32 mer thiolated aptamer (5’-SH) was used in order to find optimized binding surface against the analyte. In their work, the methylene blue (MB) was used as the redox marker and all electrochemical measurements were based on CV and DPV techniques. Designing an electrochemical PSA aptasensor was followed using the carboxylic acid functionalized by carbon nanotubes (CNTs(COOH)), chitosan (Chit), carbon nanotubes-chitosan (CNTs-Chit and CNTs(COOH)-Chit) 55. Here, all electrochemical studies were performed through CV, DPV, and EIS while the LOD for this aptasensor was 0.75 ng mL. Another PSA aptasensor designing was followed based on chemiluminescence 56; in this research, the PSA was detected in the range of 1.9 to 125 ng mL.

Aptasensors for detection the breast cancer MCF-7 cells

In a research, the breast cancer diagnosis was followed by Cai . 57; they designed an aptasensor that was able to detect breast cancer MCF-7 cells in the range of 0 to 500 cells mL. Electrochemical results were obtained via chronocoulometry (CC), EIS and CV while the redox marker was [Fe(CN)]. In another research, Chang . offered an aptasensor in order to detect of the MCF-7 cells 58. The detection plan was based on the leaky surface acoustic wave (LSAW- 100 MHz) aptasensor array. This aptasensor could detect the MCF-7 cells in the range of 1×10 cells mL to 1×10 cells mL; while the LOD was about 32 cells mL. Choosing a specific aptamer against analytes is very important in all aptasensors 59. In the mentioned research, the authors used of a specific MUC1 aptamer in order to detect of the MCF-7 cells; in Figure 1, by using the specific aptamer, the mentioned aptasensor was able to detect the MCF-7 cells while when the random DNA was used, the aptasensor did not work properly.

Figure 1

Schematic presentation of an aptasensor against MCF-7 cells 58(permission number: 4006910414095).

In a research, a fluorescent aptasensor was designed to detect the MCF-7 cells 60. Cai . used fluorescence analysis as the main detection method and this aptasensor was able to detect the MCF-7 cells in the range of 500 to 5.0×10 cells mL while LOD was 70 cells mL. In another research, a graphene oxide (GO) based aptasensor was designed that could detect the MCF-7 cells (180 to 8×10 cells mL), HL-60 (210 to 7×10 cells mL), and K562 (200 to 7×10 cells mL) cancer cells61. In this aptasensor, the mesoporous silica nanoparticles (MSNs) were used and all analysis were followed through visual fluorescence measurements. Li . introduced an aptasensor to detect the MCF-7 cells while the gold nanorods were used as a signal amplifier; the detection range was 10 to 10 cells mL and LOD was calculated as 100 cells mL62. The MUC1 aptamer-functionalized gold nanorods applied in mentioned aptasensor and the all obtained results were analyzed through the localized surface plasmon resonance (LSPR) spectra. A colorimetric nanoaptasensor was designed using the aggregation of gold nanoparticles; after investigation of the absorption spectra, it applied to detect the MCF-7 cells in the range of 10 to 10 cells 63. In a research, the MCF-7 cells were determined (100 to 5.0 × 10cells mL) via an electrochemical aptasensor that used of the GO/Au composites and porous PtFe alloy as the signal amplifier 64. The LOD for this aptasensor was reported as 38 cell mL. A fluorescent aptasensor was introduced by Li. that was based on the mesoporous carbon nanospheres 65. This aptasensor presented a special way in order to detect the of MUC1 tumor marker molecules (0.110.6 μmol L) and MCF-7 cells (10-2×10cells mL). A photoelectrochemical aptasensor was designed to detect the MCF-7 cells 66. This aptasensor could detect the MCF-7 cells at the range of 1×10 to 1×10 cells mL.

Aptasensors for detection the Ramos cells

An electrochemiluminescence aptasensor was developed to detect the Ramos cells (CRL-1596, B-cell, human Burkitt's lymphoma) via application of the Au and silica nanoparticles and magnetic beads67. This aptasensor could detect the Ramos cells in the linear range from 100 to 2000 cells mL. A nanoaptasensor (aptamer-nanoparticle strip biosensor) was designed by Liu due to detection of the Ramos cells in the human blood samples 68. The LOD for this aptasensor was about 800 Ramos cells.

Aptasensors for detection the tumor necrosis factor-α (TNF-α)

TNF-α is an anticancer agent used in cancer therapy through isolated limb perfusion and prevention amputation of the limb 69. Experimental design of an aptasensor in order to detect the TNF-α was investigated by Liu . 70. This research is one of the related tries to detect the biomaterials that have a role in cancer therapy. The performance mechanism of this aptasensor is shown in Figure 2.

Figure 2

Various procedures of the designed aptasensor for TNF-α 70 (permission number:4006360949335).

In this research, the MB was used as redox marker in all electrochemical analyses. The MB molecules were attached to 5’end of RNA aptamer. All electrochemical measurements were performed through square wave voltammetry (SWV) and the LOD was 10 ng mL for TNF-α. another research showed a try in designing an aptasensor for detecting the TNF-α at the range of 0.001 ng mLto 100 ng mL71. Here, the cucurbituril 7 (CB)/nano gold@chitosan was used as the signal facilitator and this led to finding the LOD about 0.5 pg mL. In addition, as mentioned in section 3, TNF-α detection was also applied for prostate cancer diagnosis 70.

Aptasensors for detection the leukemia cells

In a research, Cao tried to investigate a signal-on aptasensor in order to detect the T-cell acute lymphoblastic leukemia cells (CCRF-CEM cells)72; they used of GO-based fluorescence resonance energy transfer (FRET) in the sensing strategy and the detection results showed a linear range (2.5 × 10 to 2.5 × 10 cells mL) against CCRF-CEM cells. In another research, in order to detect of the adenosine in the cancer cells, an electrochemiluminescence aptasensor using a wireless indium tin oxide bipolar electrode (BPE) was reported 73. This aptasensor could detect the adenosine triphosphate (ATP) in a linear range from 1.0 fM to 0.10 μM. The results of this research were used in the diagnosis of K562 leukemia cells. Graphene was used in an electrochemical aptasensor for detection of the HeLa cells (human cervical carcinoma cell), MDA-MB-231 (human breast cancer cell), K562 cells (leukemia line), and NIH3T3 cells (mouse embryonic fibroblast cell line) 74. The growth and proliferation of HeLa cells and their viability at various times on 3,4,9,10-perylene tetracarboxylic acid PTCA-functionalized chemical converted graphene (PTCA/CCG) are shown in Figure 3.

Figure 3

Fluorescence evaluation of HeLa cells that were cultivated on PTCA/CCG and aptamer-modified glass slides at various times (a) 2 hours, (b) 8 hours, (c) 12 hours, (d) 24 hours, (e) 48 hours, (f) 72 hours. Then stain the live cells with acridine orange (AO) dye molecules74(permission number: 4017490002653).

The results of this research showed the more successful detection method for HeLa cells (human cervical carcinoma cell) and MDA-MB-231 (human breast cancer cell). In this research, electrochemical measurements were performed through CV and EIS and the redox marker was K[Fe(CN)]. An electrochemical aptasensor was designed to detect HeLa cells at the range of 10 to 10 cells mL75. This aptasensor was based on the graphene nanocomposites that this material led to amplification of the detectable signal produced by the analyte. A visual colorimetric aptasensor was designed based on cell-triggered cyclic enzymatic signal amplification 76. This aptasensor could detect T-cell acute lymphoblastic leukemia cells (CCRFCEM cells) in the range of 10 to 10 cells and the AuNPs with a diameter of 13 nm were used as the aptamer modifier. Using an electrochemiluminescence adenosine aptasensor was followed by Tian . 77. Photocatalytic properties of TiO nanotubes were used in the mentioned aptasensor and it showed a 3.32 ± 0.2 pmol/cell detection value against K562 cells.

Aptasensors for detection of MUC1 cells and MUC1 application in them

Over-expressing the MUC1 glycoprotein is the very important sign and marker to detecting cancer; A fluorescent aptasensor was designed to detect the MUC1 78; the GO was used as the signal quencher. In this research, the analyses were performed through a fluorescence spectrophotometer. He . could detect MUC1 in the range of 0.04 to 10 μM. In another research, Liu . designed an aptasensor in order to detect of the MUC1 tumor marker 79; in this research, electrochemical measurements were performed through EIS technique and the redox marker was [Fe(CN)]. Liu applied two work methods due to detecting the MUC1 (Figure 4); they used of bare gold electrode and modified gold electrode with Au nanoparticles; when they used of the modified gold electrode with Au nanoparticles, the aptasensor showed a significant amplification response against MUC1 and this situation was related to three-dimensional structure and conformation changes in the used thiolated DNA aptamer when Au nanoparticles existed.

Figure 4

Schematic illustration of the designed aptasensor for MUC179(permission number: 4006590269262).

According to the author’s claims, this aptasensor was able to detect MUC1 at very low concentration (0.1 nM) and showed the high selectivity, reproducibility, and stability. Other related researches in order to detect of the MUC1 also was mentioned before in section 248. In an aptasensor, EIS and CV techniques were used to detect the colon cancer DLD-1 cells80. The authors of this research used of MUC1 aptamer and carbon nanospheres (CNSs) with an average diameter of 500 nm; using of the conjugated MUC1 aptamer with CNSs had led to the detection of the colon cancer DLD-1 cells in the range of 1.25×10 to 1.25 ×10 cells mL. Cao . tried to offer an early diagnosis method for diagnosis of the colon cancer through detection the MUC1 glycoprotein on the cellular membrane. As previously cited, Chang . used a specific MUC1 aptamer in order to diagnosis the MCF-7 cells 58. Other try for detection the MUC1was related to Li . research that was presented in section 4 65.

Aptasensors for detection the carcinoembryonic antigen (CEA)

An electrochemiluminescence aptasensor was designed to detect the CEA in the real human serums samples81; in this aptasensor, cadmium sulfide graphene nanocomposites were used as coreactant. This aptasensor could detect CEA at the range of 0.01 to 10.0 ng mL. In other work, electrochemiluminescence CEA assay was investigated through a nanoaptasensor containing nanocomposites (ZnS-CdS nanoparticles (NPs)-decorated molybdenum disulfide (MoS). The mentioned nanomaterials were used to provide a high loading analyte capacity 82; this aptasensor showed a linear detection range (0.05 to 20 ng mL) versus CEA. A FRET based aptasensor was designed to detect CEA 83. In this aptasensor, carbon nanoparticles (CNPs) and an amino group-modified aptamer were used, and the found results showed a linear detection range (0.1 to 40 ng mL) against CEA. An electrochemical aptasensor was designed to detect the CEA. In the structure of this aptasensor, a nanocomposite of gold nanoparticles, hemin, and graphene were applied 84. This aptasensor could detect CEA in the range of 0.0001 to 10 ng mLand LOD for it was 40 mL. In Table 1, most usual methods used for detection of CEA are cited.

Table 1

Various experimental techniques that used for detection of CEA

Detection techniqueDetection rangeReference
Electrochemiluminescence aptasensing0.01–10.0 ng mL-181
Electrochemiluminescence aptasensing0.05 to 20 ng mL-182
FRET based aptasensor0.1 to 40 ng mL-183
Electrochemical aptasensing0.0001 to 10 ng mL-184
Qualitative Analysiscutoff value was 2.5 ng/L90
Qualitative Analysiscutoff value was 7 mg/L85
Qualitative Analysisup to 32 μg/ L86
Luminescence Assay---------87
latex photometric immunoassay (LPIA)---------88
Qualitative Analysis10 ng ml-189

Other applications of aptasensors in the cancer follow-up

In a research, an aptasensor was designed to detect the cytochrome 91. This aptasensor was used to investigate the drug treatment in the liver cancer; the screen mechanism was related to diagnosis of cytochrome ; cytochrome role in apoptosis as one of the fighter processes against cancer is clear, so that the B-cell lymphoma 2 (Bcl-2) regulatory protein is the cause in order to release the cytochrome from the mitochondria, which leads to the activation of caspase-9 and then caspase-3; eventually, this pathway leads to cell apoptosis 92. A way analytics method to detect the cytochrome was SPR that performed through common-path spectral interferometry. Loo et al found an aptasensor that could detect cytochrome in the range of 80 nM to 80 pM. In another electroanalytical work, Kara et al designed an aptasensor for detecting the adenocarcinoma type lung cancer. In this research, the cytosensing platform and EIS technique with [Fe(CN)] as redox marker were used 93. The obtained LOD for this aptasensor was 163.7 cells mL; the selectivity of this aptasensor was compared with other cancers (human hepatic cancer HepG2 & human cervical cancer HeLA cells); the final results of the mentioned work showed that this aptasensor was highly selective versus A549 cell line. Designing a specific aptasensor in order to detect the human hepatoma SMMC-7721 cells was followed by Yuan . 94. This aptasensor was based on FRET and the found results were approved with flow cytometry assay. In this study, the Cy3 and Cy5 fluorescent group were labeled and applied on the used aptamer; during detection of the analyte, the FRET signal appeared for low amounts of SMMC-7721 cells (LOD: 20 cells in 200 μL). An electrochemical aptasensor was designed to detect the LC-18 tumor marker in lung cancer patients 94. The LOD against LC-18 was about 0.023 ng mL. In electrochemical studies, SWV was used as the main analyte analysis technique. In a research, Hashemian et al designed a fluorescence aptasensor based on FRET (between CdS quantum dot (QDs)) in order to the detection of adenosine in urine samples of the lung cancer patients 90. This aptasensor could determine the adenosine in a linear range of 23 to 146 nM while LOD was 9.3 nM. Qureshi . tried to offer a new way for detection of the human epidermal growth factor receptor 2 (HER2) cancer biomarker (0.2 to 2 ng mL) 92; in this aptasensor, the detection method was based on changing the dielectric parameters (impedance/capacitance). Visual monitoring of cancer biomarker anterior gradient homolog 2 (AGR2) was followed through an aptasensor using UV–vis spectrometry 93. This aptasensor could detect AGR2 at the linear range of 10 to 1280 pM with LOD 6.6 pM. An aptasensor was introduced for liver cancer through the detection of HepG2 cells in the range of 1×10 to 1×10 cells mL94. Analytical section of this aptasensor was based on commercial cantisens sensor platform and microcantilevers.

Conclusion

We know, regardless of nationality, cancers are one of the main mortality causes in the world. The exact cause of cancer is unknown and likelyprobable genetic factors or other issues that interfere with the activity of cells are involved in the incidence of these diseases. The aims of medicine are health promotion, maintain, restore health, reduce pain and reduce disability. One of the most important steps to achieve this goal is to prevent the spread of cancers when they are in the early stages. Moreover, trying to make ways for early diagnosis and also choosing the appropriate treatment are very necessary against cancers. The extensive researches are performed in order to find early detection, low cost, easy and accurate methods against cancers. The routine cancer diagnostic applied methods are often invasive and expensive; in addition, in very small quantities, these methods cannot detect early tumors. Aptamers as molecular structures have been used in the structure of aptasensors in order to diagnosis the many cancers with high affinity. Using advanced nanostructures and the functionalized aptamer with some organic materials has increased the diagnostic sensitivity and specificity of aptasensors. As the specificity and sensitivity of the aptasensors is been higher, makes them appropriate commercial diagnostic tools for the early diagnosis of cancers. It is hoped that the researches will reduce the effects of interfering factors in cancer aptasensors; also, by integrating other technologies, the more accurate and portable diagnostic cancer tools such as commercial aptasensors will be produced.

Conflict of interest

The authors declare that there is no conflict of interest regarding the publication of this paper.

Authors' Contributions

All authors contributed substantially to the conception and design of the study.

Acknowledgments

We would like to thank the Research Council of Shiraz University of Medical Sciences (20336) for supporting this research.

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