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Cancer Cell International logoLink to Cancer Cell International
. 2024 Mar 16;24:108. doi: 10.1186/s12935-024-03295-4

Aptamers as an approach to targeted cancer therapy

Fatemeh Mahmoudian 1,2,#, Azin Ahmari 2,3,#, Shiva Shabani 2,4, Bahman Sadeghi 2,5, Shohreh Fahimirad 6,, Fahimeh Fattahi 2,7,
PMCID: PMC10943855  PMID: 38493153

Abstract

Conventional cancer treatments can cause serious side effects because they are not specific to cancer cells and can damage healthy cells. Aptamers often are single-stranded oligonucleotides arranged in a unique architecture, allowing them to bind specifically to target sites. This feature makes them an ideal choice for targeted therapeutics. They are typically produced through the systematic evolution of ligands by exponential enrichment (SELEX) and undergo extensive pharmacological revision to modify their affinity, specificity, and therapeutic half-life. Aptamers can act as drugs themselves, directly inhibiting tumor cells. Alternatively, they can be used in targeted drug delivery systems to transport drugs directly to tumor cells, minimizing toxicity to healthy cells. In this review, we will discuss the latest and most advanced approaches to using aptamers for cancer treatment, particularly targeted therapy overcoming resistance to conventional therapies.

Keywords: Aptamer, SELEX, Cancer, Targeted therapy

Background

Cancer is a leading cause of death globally. Based on the World Health Organization's report, cancer is the first or second leading cause of death before the age of 70 in 112 out of 183 countries, ranking third or fourth in an additional 23 countries [1]. This medical condition occurs when abnormal cells multiply uncontrollably and have the potential to spread to nearby or distant tissues. As cancer progresses, these cells acquire specific traits, including increased signaling for growth, resistance to cell death, unlimited replication ability, stimulation of new blood vessel formation, and activation of invasion and metastasis [2].

Early diagnosis and the implementation of appropriate treatment modalities are essential for treating cancer patients [3]. Treatment options vary depending on the type and stage of cancer which may include surgery, chemotherapy, radiation therapy, targeted therapy, or immunotherapy [4].

Conventional cancer therapies such as chemotherapy are usually insufficient in advanced aggressive tumors. Their lack of specificity leads to a high recurrence rate and high toxicity [5]. In targeted therapy, designed drugs interfere with a targeted protein which is responsible for tumor growth [6]. On the other hand, immunotherapy takes the advantage of the patient’s immune system to destroy tumor cells [7]. Although this therapeutic approach has been promising in both hematologic and solid malignancies, intrinsic resistance of tumor cells and dose-limiting side effects cause transient responses to drugs [8, 9].

Over time, researchers have studied cancer cell behavior, immune response, and microenvironment to improve individualized cancer treatment with traditional therapies and drug delivery. Despite notable progress in cancer therapies, developing a productive treatment approach remains a considerable obstacle. Promoting cancer science by utilizing innovative therapeutic targeting and delivery methods that minimize adverse effects is essential. Continuously advancing in this direction will undoubtedly lead to better outcomes for cancer patients [911]. One promising avenue of investigation is the use of aptamers, a class of molecules with unique physical and chemical properties. Aptamers appear to have great potential for targeted tumor treatment and can be applied in different ways, including therapeutic aptamers, aptamer-drug conjugates (AptDC), aptamer-functionalized nanoparticles, and aptamer-mediated immunotherapy [12].

In this review, we will discuss the synthesis and selection of aptamers for targeted cancer treatment to overcome resistance and reduce side effects from conventional cancer therapy. Additionally, provides an overview of the advances and challenges in aptamer development for using aptamers in cancer treatment.

Structure and properties of aptamers

Aptamers are small molecules that possess the remarkable potency to recognize and bind to their target with high affinity. Nucleic acid and peptide aptamers are two classifications based on their structures. The name aptamer is derived from the Latin word “aptus” (to fit) and the Greek word ‘‘meros’’, (particle) due to their ligand function [13, 14].

The flexible nature of aptamers gives them the ability to wrap around a small molecule target or fit into clefts and gaps within the surface of much larger target molecules. Aptamers have the ability to bind to a wide range of targets, including peptides, proteins, small molecules, organic compounds, metal ions, and biological targets such as viruses, bacteria, yeast, and mammalian cells. This ability is due to their unique three-dimensional folding which provides high specificity in binding. The interaction between aptamers and their targets creates strong conformational adjustments, and the binding is mediated via van der Waals forces, hydrogen bonding, electrostatic interactions, stacking of flat moieties, and shape complementarity [15, 16].

Nucleic Acid aptamers (NA-Apts) are short single-stranded (20–100 bps) DNA or RNA (ssDNA or ssRNA) oligonucleotides that are folded into 3D conformations specified by stems, bulges, loops, hairpins, triplicates, pseudoknots, kissing stem-loop complexes, or G-quadruplex constructors [17]. Based on the final application, the main goal and DNA or RNA target the most appropriate aptamers can be selected. RNA-based aptamers have a relatively flexible structure compared with DNA-based, therefore RNA-based aptamers have a broader range of target molecules. However, RNA-based aptamers are more sensitive to chemical and enzymatic degradation. Moreover, the selection of RNA aptamers is more complicated as its processing requires more enzymatic steps [18].

Peptide aptamers (P-Apts) developed after Nucleic Acid aptamers. P-Apts are polypeptides that consist of a short amino acid loop (5–20 residues), embedded in to the rigid protein structure. Due to the lower conformational entropy of the restricted peptide loop, the binding affinity of P-Apts could be as much as 1000 times higher than the free peptide [19].

Aptamers possess distinct characteristics that enable them to selectively attach to a particular target. As a result, they may present a promising alternative to antibodies for targeted cancer treatment. Despite the suitability of antibodies for numerous applications, there are certain scenarios where aptamers may prove to be a superior option [20]. They are smaller and steadier than antibodies, allowing for better transport and tissue penetration. Aptamers are delivered through a basic and reasonable process and the time required to create aptamers is comparatively brief. Not at all like antibodies, aptamers don't require animals or an immune reaction for their generation [20, 21].

Since aptamers are chemically synthesized, batch-to-batch variety can be enormously diminished allowing economical, high-accuracy large-scale generation of aptamers for clinical applications. Besides, aptamer's partiality can be balanced by optimizing their acknowledgment grouping and/or by controlling authoritative response conditions. Once chosen, the stability of the aptamers can be expanded by chemical alteration of the nucleotides as well as by changing their secondary structures. Since aptamers are chemically synthesized, chemical modifications can be presented into them at any wanted position within the nucleotide chain. In spite of the fact that antibodies can be chemically altered, site-specific adjustments are extremely troublesome [22].

Moreover, through built up solid-phase chemical synthetic strategies and site-directed chemistries, labels for detection and linkers for conjugation can be effectively embedded at wanted destinations within the oligonucleotide arrangement without compromising the binding affinity or selectivity [23]. The in vitro selection step permits aptamers to be produced against something else toxic compounds that would kill the animal in antibody generation. Moreover, aptamers are steadier at high temperature and they can be recovered effortlessly after denaturation and can be repeatedly utilized (Table 1).

Table 1.

Aptamer advantage vs. antibodies

Features Monoclonal Antibody Aptamer Aptamer Advantage
Size  ~ 150–170 kDa  ~ 12–30 kDa (~ 30–80 nucleotides) Aptamers, due to their small size, can penetrate tissues and cells, exhibit superior target access and blood clearance, and have a lower tendency to be toxic and immunogenic
Stability

Susceptible to high temperatures and pH changes

Require refrigeration for storage

The denaturation is irreversible

Fairly stable at ambient temperature

The denaturation is reversible

Aptamers possess remarkable stability and remain effective even after prolonged storage. Moreover, they are capable of being transported at room temperature without any special handling requirements. This makes them a highly convenient and practical option
Target potential Targets must produce an immune response, minimum target size ≥ 600 Daltons Can bind to very small targets, minimum target size ≥ 60 Daltons Aptamers can be selected against a wide range of targets, including small molecules, toxic compounds, and non-immunogenic substances
Development Process Require immune response and animals through in vivo production and cell culture Chemical synthesis through SELEX process SELEX screens large molecular diversity and requires only a few nanomoles for selection, while ensuring batch-to-batch consistency and no contamination
Modification Typically conjugated with one type of signaling or binding molecule Can be modified at both the 5’ and 3’ end Aptamers can be easily modified for attachment and easy addition of functionalities during synthesis
Production time and cost The production requires long time (~ 4–6 months) and expensive in vivo procedures The selected aptamers are chemically synthesized (~ 1–3 months), reducing the production cost Faster development time means faster time to market or publication

Aptamer screen and applications bioinformatics for in-silico aptamer design

Systematic Evolution of Ligands by Exponential Enrichment (SELEX) is a popular technique that isolates single-stranded DNAs or RNAs with high affinity from a large library of random sequences, which first was developed in 1990 [24, 25]. Since then, researchers have generated numerous aptamers targeting various entities, including amino acids, proteins, small metal ions, organic molecules, bacteria, viruses, whole cells, and animals [26].

SELEX is an experimental method that determines nucleic acid aptamers capable of binding to a target molecule with high affinity and selectivity that is composed of in several steps of selection and enrichment processes [27]. First, the nucleic acid library, which consists of 1014–1015 random oligonucleotide strands, is incubated with a target molecule. Then, the target-bound oligonucleotide strands are separated from the unbound strands. The target-bound DNA or RNA strands are eluted from the target molecule and amplified via a polymerase chain reaction to seed a new pool of nucleic acids. This selection process is continued for 6–18 rounds with increasingly stringent conditions, which ensure that the nucleic acid obtained has the highest affinity to the target molecule (Fig. 1). During 6–18 rounds of selection, over 10 13 different nucleic acid sequences were screened, and only a few were found to have specificity to the target. The SELEX method is versatile and can be adapted in various ways to enhance the aptamers' specificity and the SELEX process's efficiency [15]. Moreover, this method is able to produce aptamers for even unknown molecules, and this advantage has enabled the recognition of unknown surface biomarkers [28]. Cell-SELEX has been developed to screen aptamers for many types of cancer cells by using whole live cells even without the previous information of their molecular signatures [29].

Fig. 1.

Fig. 1

Schematic illustration of the SELEX process. Major steps involved in SELEX to identify individual aptamer

Despite the different types of SELEX methods, this work is time-consuming and laborious, resulting in a low yield rate. To address these issues, the SELEX method for constructing aptamers can be combined with high-throughput sequencers. This process is commonly referred to as HT-SELEX or HTS and involves next-generation sequencing (NGS) during SELEX [27]. HT-SELEX allows screening aptamer candidates from a large number of oligonucleotide sequences within only a few days [29].

Since the inception of HT-SELEX, the use of computational bioinformatics methods for aptamer design for various targets has been gradually developed [27, 30]. Aptamer modeling and in silico design for aptamer identification and optimization may help to design better in less time [30]. Computational methods utilized for in silico aptamer identification include sequence-based, motif-searching-based, and multi-dimensional scoring-based algorithms, as well as supervised machine learning-based methods [30].

To understand the mechanisms of optimization aptamer-target interactions after obtaining aptamer candidates, aptamer structure prediction with computational methods is necessary. In this regard, 2D structures can be characterized based on their sequences, including junctions, protrusions, pseudoknots, G-quadruplexes, and triplet structures. Next, 3D structure prediction is usually done based on 2D structure. Finally, a combination of molecular docking (MD) and molecular dynamics simulation (MDS) is required to obtain an aptamer-target complex and binding sites with stability and the lowest binding energy G [27, 30, 31]. Sometimes, other methods such as the quantitative structure–activity relationship (QSAR) [32] hybrid quantum mechanics/molecular mechanics (QM/MM) studies utilized in aptamer designed [27, 33]. The Table 2 describes the prominent applications used in identification and optimization aptamer design [30, 34].

Table 2.

Computational techniques for in silico aptamer development

Bioinformatic tool System requirements Description and features Refs.
Aptamotif Linux/Mac OS

Aptamotif is a computational method for the identification of sequence–structure RNA binding motifs

in SELEX-derived aptamers

[35]
Galaxy Web/Linux/Mac OS Analysis of pre-processing and analyzing HTS-SELEX sequencing data using the Galaxy platform outcomes candidate aptamer sequences [36, 37]
AptCompare Linux/Mac OS/Windows/Galaxy AptCompare is an automated tool designed for pre-processing and analyzing HTS-SELEX sequencing data. The tool evaluates the performance of six commonly used aptamer motif discovery programs and utilizes a meta-rank metric to identify the most promising aptamer targets [38]
PATTERNITY.seq© Linux/Mac OS/Windows PATTERNITY-Seq© manages millions of sequences from raw sequencing datas to identify better aptamers in a faster way, (this tool regroups sequences in families, monitors the evolution of each family and each individual sequence, identifies enriched structure motifs, and studies the effect of selection pressure) [39]
MEME/GLAM Linux/Mac OS/Web To design aptasensors by identifying motifs in aptamers through MEME analysis [40]
MP Bind Linux/Mac OS MP Bind is a meta-motif-based statistical framework for predicting aptamers that bind to targets from SELEX-Seq data and proficiently managing biases caused by incomplete sequencing of aptamer pools or PCR [41]
APTANI Linux/Mac OS APTANI is a computational tool to select aptamers through sequence-structure motif analysis of HT-SELEX data [42]
APTANI2 Linux/Mac OS APTANI2 is an expanded and optimized version of APTANI. This tool includes modules for investigating sequence motifs and secondary structures, as well as a user-friendly graphical interface and coding solutions that improve performance [43]
AptCompare Linux/Mac OS/Windows AptCompare is a program that combines six analytical approaches for identifying RNA aptamer motifs across platforms [38]
COMPAS (COMmon PAtternS) Unknown COMPAS (COMmon PAtternS) is a program that was developed to support the entire SELEX process can find motif combinations [44]
RaptRankerr Linux/Mac OS RaptRanker as an RNA aptamer selection tool analyzes HT-SELEX data by evaluating the nucleotide sequence and secondary structure [45]
FASTAptamer Linux/Mac OS/Windows FASTAptamer performs the simple tasks of counting, comparing sequences, clustering sequences, calculating fold enrichment, and searching degenerately for nucleotide sequence motifs [46]
FASTAptameR Web tool FASTAptameR is an expanded set of interconnected modules such as Count, Distance, Cluster, Mutation network, Motif Discovery modules that can be used to interactively analyze and visualize HTS data [47]
SMART-Aptamer Mac OS/Windows Based on multilevel structure analysis, SMART-Aptamer identifies high-affinity aptamers with low false positive and negative rates from HTS data of SELEX libraries [48]
FSBC Linux/Mac OS/Windows FSBC estimates clusters considering different lengths of over-represented strings as target binding regions for HT-SELEX data [49]
AptaPLEX Linux/Mac OS/Windows AptaPLEX is a utility designed specifically for demultiplexing raw HT-SELEX data into corresponding selection cycles based on barcode information [34]
AptaSIM Linux/Mac OS/Windows AptaSim aimed at realistically recreating the selection process during SELEX using error-prone PCR [50]
AptaMUT Linux/Mac OS/Windows A new technique has been developed to identify polymerase errors that result in improved binding affinity compared to the original sequence [50]
AptaCLUSTER Linux/Mac OS/Windows AptaCluster allows for an efficient clustering of whole HT-SELEX aptamer pools [51]
AptaTRACE Linux/Mac OS/Windows AptaTRACE consists of three components: data preprocessing, secondary structure profile prediction, and motif extraction. These three components are controlled through a single configuration file [52]
AptaGUI Linux/Mac OS/Windows AptaGUI is a valuable resource that facilitates the implementation of the AptaTools package. This program allows for visual inspection of HT-SELEX experiments in a concise and efficient manner [53]
AptaTools package Linux/Mac OS/Windows This package encompasses several algorithms, such as AptaMUT, AptaCLUSTER and AptaGUI, that are instrumental in analyzing HT-SELEX data. These algorithms enable the identification of any possible flaws in the selection protocol, the discovery of aptamer candidates, and the provision of comprehensive sequence and structure-based analysis [53]
AptaSUITE Linux/Mac OS/Windows AptaSUITE incorporates a set of previously published algorithms, namely AptaPLEX, AptaSIM, AptaCLUSTER, and AptaTRACE [54]

According to a review study, while there have been significant developments in artificial intelligence for predicting aptamer binding ability to targets, most computational tools have low citation rates. Consequently, in silico aptamer design methods have not been widely adopted [30]. Our understanding indicates that techniques like sequencing, and bioinformatic analysis are useful for aptamer screening. Additionally, technology platforms such as microfluidics, capillary electrophoresis, and flow cytometry can facilitate the isolation of aptamer candidate probes [28].

Registered clinical trials to assess the efficacy of aptamers in the treatment of cancer

A variety of aptamer applications have been developed to target a wide spectrum of human illnesses, such as Alzheimer's disease and cancer. Despite their potential, most aptamers have not met the necessary safety and efficacy standards in human clinical trials. Various challenges hinder the widespread adoption of diagnostic and therapeutic techniques using aptamers, such as the rapid degradation, especially of RNA aptamers, by nucleases, clearance through renal filtration limiting their effectiveness, and complexities in targeting intracellular structures. Generating aptamers often requires purified target molecules, making the process time-consuming and labor-intensive. Additionally, aptamers designed to target specific molecules may also bind to structurally similar compounds, potentially leading to unintended effect [55].

For an extended period, only a single aptamer, Pegaptanib (Macugen), has demonstrated clinical efficacy. It was approved by the FDA in 2004 for treating age-related macular degeneration. Pegaptanib inhibits blood vessel development by targeting the glycosylated homodimeric VEGF isoform VEGF165. Despite its initial success, Pegaptanib was discontinued due to the emergence of more effective anti-VEGF drugs like bevacizumab, ranibizumab, and aflibercept, which are pan-blockers of VEGFAs capable of inhibiting all VEGFA isoforms. Furthermore, Pegaptanib's administration through intravitreal injections may lead to eye inflammation, pain, increased intraocular pressure, punctate keratitis, and vitreous opacity [5658].

Recently, a second aptamer, Avacincaptad pegol (Izervay; Iveric Bio/Asetlla), brought positive news by receiving FDA approval for the treatment of geographic atrophy secondary to age-related macular degeneration in August 2023 [59].

Although there is currently no approved therapeutic application of aptamers for the treatment of cancer in a clinical setting. AS1411, a 26-nucleotide guanine-rich DNA aptamer, represented as the first aptamer to progress into clinical trials for cancer therapy. The AS1411ptamer is made up of thymine and guanine and can form guanine-mediated quadruplex structures when dissolved. The structure of AS1411 not only decreases its immunogenicity and confers resistance to nucleases but also boosts cellular uptake. By specifically targeting nucleolin, a protein that is commonly overexpressed in different tumor types, AS1411 has shown encouraging potential in combating cancer, displaying anti-proliferative effects in diverse of tumor cells through multiple signaling pathways [60, 61]. During phase I trials, three AS1411-based agents were assessed for safety and efficacy in treating advanced solid tumors and acute myeloid leukemia (AML). AS1411 was found to be non-toxic and progressed to phase II clinical trials. However, it was later discontinued from phase II trials for renal cell carcinoma (RCC) due to limited activity and low response rates in unselected patients with metastatic RC. While early indications of effective anti-cancer activity were noted in phase I and II trials for AML, further evaluation against this type of cancer has been discontinued. Nevertheless, research focusing on optimizing the structure of AS1411 remains popular [6163].

Spiegelmers are one type of aptamer molecule that has entered clinical trials for anticancer therapeutics that a modified SELEX drug-discovery platform utilizing non-natural L-nucleotides. The L-configuration of Spiegelmers grants them resistance against degradation by nucleases present in the bloodstream, and they further exhibit low immunogenicity. These two features are crucial for nucleic acid therapeutics. Currently, NOXXON Pharma is developing Spiegelmers proficient in neutralizing chemokines within the tumor microenvironment [64].

Ongoing studies are exploring aptamer design for cancer diagnosis and treatment. For instance, NOX-E36 (emapticap pegol) is currently under investigation in clinical trials for Diabetes Mellitus and Albuminuria. The research is concentrated on their use in oncology, with preclinical data demonstrating efficacy in solid tumor models like pancreatic and liver cancer by TME Pharma (formerly NOXXON Pharma). According to Table 3, several studies registered on ClinicalTrials.gov are evaluating the use of aptamers in cancer therapy up to 2023. Given the vast number of aptamers currently being researched, additional clinical trials may be required to evaluate their effectiveness in treating cancer continuously [65].

Table 3.

Application of aptamers in clinical trials to cancer therapy

Aptamer name Study title Target Intervention/treatment Phase NCT number Type of cancer
AS1411 A Study of AS1411 Combined With Cytarabine in the Treatment of Patients With Primary Refractory or Relapsed Acute Myeloid Leukemia Nucleolin

Drug: AS1411

Drug: Cytarabine

Phase 2 NCT01034410 Acute Myeloid Leukemia
Study of AS1411 in Advanced Solid Tumours Drug: AS1411 Phase 1 NCT00881244 Advanced Solid Tumors
A Phase II Study of AS1411 in Renal Cell Carcinoma Drug: AS1411 Phase 2 NCT00740441 Metastatic Renal Cell Carcinoma
Phase II Study of AS1411 Combined With Cytarabine to Treat Acute Myeloid Leukemia Drug: AS1411 Phase 2 NCT00512083 Leukemia, Myeloid
EYE001 EYE001 to Treat Retinal Tumors in Patients With Von Hippel-Lindau Syndrome VEGF Drug: EYE001 Phase 1 NCT00056199 Hippel–Lindau disease
Olaptesed Pegol (NOX-A12) Olaptesed (NOX-A12) Alone and in Combination With Pembrolizumab in Colorectal and Pancreatic Cancer (Keynote-559) CXCL12/SDF-1

Drug: Olaptesed pegol—Monotherapy

Drug: Olaptesed pegol + Pembrolizumab—Combination Therapy

Phase 2 NCT03168139 Metastatic Colorectal Cancer Metastatic Pancreatic Cancer
Olaptesed With Pembrolizumab and Nanoliposomal Irinotecan or Gemcitabine/Nab-Paclitaxel in MSS Pancreatic Cancer (OPTIMUS) Drug: Olaptesed pegol Phase 2 NCT04901741 Metastatic Pancreatic Cancer
NOX-A12 in Combination With Bortezomib and Dexamethasone in Relapsed Multiple Myeloma Drug: NOX-A12 Phase 2 NCT01521533 Multiple Myeloma
Glioblastoma Treatment With Irradiation and Olaptesed Pegol (NOX-A12) in MGMT Unmethylated Patients (GLORIA)

Drug: Olaptesed pegol Radiation: Radiotherapy

Drug: Bevacizumab

Drug: Pembrolizumab

Phase 2 NCT04121455 Glioblastoma
NOX-A12 in Combination With Bendamustine and Rituximab in Relapsed Chronic Lymphocytic Leukemia (CLL) CXCR4-CXCL12 Drug: NOX-A12 Phase 2 NCT01486797 Chronic Lymphocytic Leukemia
Lexaptepid Pegol (NOX-H94) Efficacy of NOX-H94 on Anemia of Chronic Disease in Patients With Cancer Hepcidin Drug: NOX-H94 Phase 2 NCT01691040 Anemia of Chronic Disease

Functionalizing aptamers for cancer therapy

Aptamer-based cancer chemotherapy

Chemotherapy is still one of the main methods of cancer treatment [66]. Adequate drug delivery to tumor cells along with preservation of normal tissue is one of the factors of success and response to chemotherapy [67]. Short half-life, stimulation of immune response, non-specific delivery, and rapid distribution of chemotherapy drugs in healthy tissues may lead to side effects and severe complications. Additionally, the response to treatment can vary greatly, ranging from low to high, and the type and severity of side effects can also differ significantly [68]. Typically, the drug approach targets fast-growing cells, which can include both healthy and cancerous cells [66].

In order to improve the delivery of cytotoxic drugs, antibody–drug conjugates (ADCs) are used as anticancer drugs that can deliver drugs directly to the tumor site, thus making chemotherapy a targeted therapy. Despite 10 ADCs with approval from the FDA, but other studies indicated poorly in clinical trials [5].

Aptamer technology as a drug delivery agent has advantages over antibodies. Therefore, aptamers have been conjugated with chemotherapy drugs or other cancer treatment agents through physical or chemical. Due to the lower molecular weight of conjugation aptamer-drug conjugates (AptDC), led to faster and deeper tissue penetration, compared to ADCs has been proposed for targeted cancer therapy [5].

As mentioned above, the combination of aptameric with chemotherapy drugs can be an innovative method for the selective delivery of chemotherapy agents to cancer cells in order to optimize the treatment in various studies that were investigated summarized in Table 4. Which not only increases the targeting ability but also enhances the delivery of multiple copies of drugs, by purposely engineering alterations of drug-intercalating sites on aptamers [5, 28]. Even, using this strategy may apply to highly toxic compounds that are not suitable for healthy tissues due to severe toxicity or have moderate therapeutic power, requiring a high dose of such drugs (Fig. 2A) [28].

Table 4.

Aptamer-drug conjugations as cancer-targeted therapeutics

Aptamer names Aptamer Target Drug Type of cancer Refs.
sgc8c DNA CCRF-CEM cell Doxorubicin T-cell acute lymphoblastic leukemia, T-cell ALL [72]
TLS11a-GC DNA LH86 cell Doxorubicin Human hepatocellular carcinoma [73]
MA3 DNA MUC1 protein Doxorubicin Human breast, liver &lung cancer [74]
HB5 DNA HER2 protein Doxorubicin Breast cancer [75]
EpDT3 & Scr-EpDT3 RNA EpCAM protein Doxorubicin Retinoblastoma [76]
E07 & mE07 RNA EGFR protein

Gemcitabine

5-fluorouracil

Pancreatic cancer [77, 78]
EpCAM aptamer RNA EpCAM protein Doxorubicin Colorectal cancer [79]
TLS11a-GC DNA HepG2 cell Doxorubicin Hepatocellular carcinoma [80]
AP-1-M DNA CD133 protein Doxorubicin Anaplastic thyroid cancer [81]
AS1411/NucA DNA Nucleolin Doxorubicin/Camptothecin Breast cancer [82]
XQ-P3 DNA PD-L1 protein Paclitaxel Treating Triple-Negative Breast Cancer [83]
AS1411 DNA Nucleolin Paclitaxel Ovarian cancer [84]
CD117-specific aptamer #1F DNA CD117 Methotrexate Acute myeloid leukemia [85]
E3 RNA PC3 (PC-3) cells Monomethyl auristatin E and F Prostate cancer [86]
XQ-2d DNA CD71 Monomethyl auristatin E Uveal melanoma [87]
P19 RNA PDAC cell lines Monomethyl auristatin E and derivative of maytansine 1/ Pancreatic Tumor Cell [88]
HER2 RNA aptamer RNA HER2 Mertansine Breast Cancer [89]
S30-T1 DNA CD33 Doxorubicin Acute myeloid leukemia [90]
SQ-2 RNA ALPPL-2 5-fluoro-2′-deoxyuridine Pancreatic ductal adenocarcinoma [91]
APTA12 (Gemcitabine incorporated G-quadruplex aptamer) DNA Nucleolin Doxorubicin/ Gemcitabine Breast cancer [92]
APTA12 (Gemcitabine incorporated G-quadruplex aptamer) DNA Nucleolin Gemcitabine Pancreatic cancer [93]
G12msi aptamer DNA GPC3 protein Gemcitabine Hepatocellular carcinoma [94]
PDGC21-T DNA MDA-MB-231 Gemcitabine Triple-negative breast cancer [95]
Modified type of AS1411 DNA Nucleolin Gemcitabine Pancreatic cancer [96]
ThioAp52 DNA MAGE-A3 Doxorubicin Breast, oral, pancreatic, and skin cancer [97]

Fig. 2.

Fig. 2

Schematic illustration of the targeted delivery of drugs using a functionalized aptamer. A Aptamer-drug conjugates can be created by intercalating drugs and aptamers or by using a linker. B Bivalent aptamers, targeting different biomarkers, linked by dsDNA to load drugs. C Aptamer-functionalized nanoparticles are designed for targeted drug delivery

There are currently FDA-approved bispecific antibodies (bsAbs) available worldwide. These bsAbs have the unique ability to recognize two different targets. In cancer treatment, most bsAbs are developed to trigger and engage cytotoxic T cells against characteristic tumor targets present on the cancer cells. Other bsAb treatments focus on targeting cytokines immune checkpoints, and oncogenic signaling pathways [28, 69, 70]. In these regard, combining aptamers allows for simultaneous recognition of two or more different cell surface receptors (bispecific aptamers (bsApts)) or multiple copies of the same receptor (dimers of monospecific aptamers) [71]. Bivalent aptamers targeting different biomarkers, linked by dsDNA to load drugs, can produce bispecific ApDCs as a simpler, more cost-effective alternative to bivalent antibodies [28] (Fig. 2B).

Aptamer-based cancer radiotherapy

Radiotherapy, also referred to as radiation therapy (RT), is a common treatment method for primary non-metastasis solid tumors. More than half of all cancer patients benefit from RT annually. This therapy employs high-energy radiation to shrink tumors, destroy cancer cells, and alter the microenvironment in clinics [28, 98, 99].

One of the challenges in RT for cancer patients is the insufficient dose of radiotherapy at the tumor site, which cannot be tolerated by normal tissue and may cause the risk of normal tissue damage in the treatment area. This limits the amount of radiation dose that can be administered [98100]. Despite the obstacles, the utilization of radiosensitizers and smart targeting is increasingly attracting attention because of their capacity to specifically boost radiation effects on cancer cells at the tumor location. This strategy overcomes radio resistance and minimizes side effects, thereby presenting a prospective resolution to this dilemma [98, 99, 101].

Radiosensitizers can be specifically delivered to tumor sites by conjugating them with antibodies or aptamers, thereby ensuring their selective uptake by cancerous cells [101, 102]. Due to their exceptional specificity for the target and the wide range of previously mentioned properties, aptamers are highly adaptable and may be efficient in overcoming radio resistance. Several radiosensitizers, such as metal formulations, siRNAs, and nucleoside analogs, can be coupled with aptamers for targeted delivery into cancer cells to sensitize radiotherapy [103]. Based on information studies, metal (nano) formulations of the AS1411 and anti-MUC1 aptamers could potentially act as radiosensitizers in cancer treatment. This approach increases the levels of free radicals in tumor cells, thereby causing enforced DNA damage. In breast tumor-bearing mice, a gold nanocluster conjugate of the AS1411 aptamer demonstrated enhanced efficacy of radiation therapy. Furthermore, the anti-MUC1 aptamer was linked with the radiosensitizer 1,10 phenanthroline for in-vitro radiosensitization of breast cancer cells [103105].

In addition to the mentioned strategy, aptamers can sensitize radiotherapy by binding to designated targets and interfering with radioresistance signaling, without any further conjugation. In this regard, a study conducted on glioblastoma has uncovered that the application of U2 aptamer, a DNA-aptamer that targets EGFRvIII, has the potential to restrain the growth, migration, and invasion of GBM cells. Moreover, it has been observed that the U2 treatment may enhance the radiosensitivity of EGFRvIII-expressing U87 cells. The researchers have speculated that the U2 treatment can hinder the DNA damage response and consequently boost the radiosensitivity in GBM cells [103, 106]. In another study, a 2'-F-RNA aptamer GL44 was used as a boron delivery agent for Boron Neutron Capture Therapy (BNCT) to target human glioblastoma U-87 malignant glioma cells, resulting in reduced tumor cell viability [107].

Aptamer-based cancer immunotherapy

The aberrant growth, abnormal expression of membrane proteins, and escape from immune surveillance are the major hallmarks of cancer. Currently, several therapeutic approaches have been developed for cancer treatment based on our information about the interactions between the immune system and tumor cells. In spite of the intrinsic immune system being well educated to generate specific antibodies but is weakened and dysfunctional in most of the cancer patients. Therefore, to overcome this shortcoming, the application of new immunotherapeutic strategies and immune-stimulating agents for instance the increment of cancer antigenicity as well as the usage of immune modulators, cytokines, or lymphocytes are indispensable to relapsed or refractory cancer treatment [108110]. Therefore, cancer immunotherapy offers a range of treatments, including adoptive cell therapies, cancer vaccines, immunostimulatory cytokines, oncolytic virus therapies, and antibody therapies [111].

In 1997, FDA approved the use of rituximab, a mouse-human chimeric monoclonal antibody targeting the B-cell lineage marker CD20, as a treatment for malignancy. This marked the first time a monoclonal antibody had been approved for cancer immunotherapy. Since then, over a dozen monoclonal antibodies have been approved to treat a variety of cancers [112, 113].

Despite the potential of monoclonal antibody-based therapy, it is often hindered by its high manufacturing costs and the risk of immune-related adverse effects. In contrast, nucleic acid aptamers are a stable and non-immunogenic alternative class of high affinity reagents that can be easily produced through solid-phase synthesis [114, 115].

Nowadays, aptamers with high affinity and specificity are a very promising construct as immune-modulatory agents widely used directly in therapeutic applications and drug delivery system. The immunotherapeutic aptamers belong to three major groups according to their different targets, which are immune-checkpoint antagonists, immune receptor agonists with immunostimulatory function, and inhibitors of immunosuppressive cytokines (Table 5) (Fig. 3) [116118].

Table 5.

Immunotherapeutic aptamers

Aptamer name Type Target RNA or DNA Modification Function Refs.
RNA Aptamer Antagonistic CTLA-4 RNA Inhibition of CTLA-4 functions and enhance tumor immunity in cell and animal models [124]
aptCTLA-4 Antagonistic CTLA-4 DNA Promotes lymphocyte proliferation, and inhibits tumor growth in both in vitro and in vivo [125]
CTLA4apt–STAT3 siRNA Antagonistic CTLA-4 RNA Covalently linked to a STAT-3 siRNA STAT-3 gene silencing in CD8+ infiltrated lymphocytes and regulatory T cells (Tregs) in tumors and subsequently inhibits tumor growth and metastasis [126]
MP7 Antagonistic PD-1 DNA Conjugated to the polyethylene glycol (PEG) Inhibits the suppression of IL-2 secretion in primary T-cells and suppresses the tumor growth [127]
aptPD-L1 Antagonistic PD-L1 DNA Stimulate lymphocyte proliferation in vitro, suppress tumor growth in vivo, and increase in the levels of infiltrating CD4+ and CD8+ T cells, as well as the cytokines IL-2, TNF-α, IFN-γ and the C-X-C motif chemokines [128]
BSA-Apt Antagonistic PD-L1 DNA Conjugated to the bovine serum albumin Stronger antitumor efficacy [129]
TIM-3 aptamer Antagonistic TIM-3 DNA Trimeric form of the TIM-3 aptamer Reduced cell death, and enhanced survival, proliferation, and cytokine secretion in vitro [130]
LAG3 aptamer Antagonistic LAG3 RNA 2′-fluoro-pyrimidines Enhances the threshold of T-cell activation [131]
4-1BB aptamer Agonistic 4-1BB RNA Bivalent and multivalent Stimulate CD8+ T cells and inhibit tumor growth [132]
4-1BB bispecific aptamer Agonistic 4-1BB RNA 2′-fluoro-pyrimidine, conjugated with vascular endothelial growth factor or osteopontin Enhances the therapeutic index of tumor immunotherapy [133]
hOX40 aptamer Agonistic OX40 RNA 2′-fluoro-pyrimidine and multimerized Induce proliferation and IFN-γ production in activated human T cells in vitro [134]
CD40 agonist aptamers Agonistic CD40 RNA 2ʹ-fluoropyrimidine Hastened the improvement of bone marrow aplasia by inducing the reproduction and activation of B cells [135]
CD40-blockade aptamer Antagonist CD40 RNA 2ʹ-fluoropyrimidine Have a direct antitumor effect on CD40-expressing B-cell lymphoma in vitro and in vivo [135]
CD40 agonistic aptamer-shRNA chimera Agonistic CD40 RNA 2ʹ-fluoropyrimidine, and linked with a short hairpin RNA targeting serine/threonine protein kinase Enhancing tumor antigenicity by NMD inhibition and improvement in tumor infiltration and overall survival in vivo [135]
CD28Apt2 and CD28Apt7 Agonistic CD28 RNA 2ʹ-fluoropyrimidine and dimerization Increasing the cellular immune system response and prolong the survival of mice [136]
X-polymers Antagonistic and Agonistic CTLA-4 and CD28 RNA CAR-like multivalent aptamer nanoparticles Increase T cell proliferation and reverse the inhibitory effect of IL-2, and suppress the growth of mouse melanoma B16 cells both in vitro and in vivo [137]
APT-β1 Inhibitors of immunosuppressive cytokines TGF-β1 RNA Combined with gefitinib Enhanced the anti-tumor effect, and inhibit the regrowth of lung cancer [138]
R5A1 aptamer Inhibitors of immunosuppressive cytokines IL-10 receptor RNA Inhibit CT26 tumor growth in mice [123]

Fig. 3.

Fig. 3

Schematic representation of immunotherapeutic aptamers for targeted cancer therapy. The immunotherapeutic aptamers are classified based on different targets, including immune checkpoint antagonists, immune receptor agonists, and inhibitors of immunosuppressive cytokines

The classic immune checkpoint receptors CTLA-4, PD-1, PD-L1, TIM-3, and LAG-3, as well as novel ones, form a complex system of controlling the immune system, which is disrupted in cancer. The antagonistic aptamers inhibit or block the interaction of these immune checkpoints molecule with its ligand that can dysregulate the downstream signaling. Currently, these category of aptamers commonly used in clinical trials and therapeutic purposes [18, 115].

In other hand, the efficient co-stimulation of antigen-presenting cells or T cells, which is induced through the binding of a co-stimulatory receptor and its ligand, plays a crucial role in boosting antitumor immunity. Engineering multimeric versions of several RNA aptamers targeting immune co-stimulatory receptors (4-1BB, OX40, CD40 and CD28) has enabled them to act as receptor agonists to improving cancer immunotherapy [18, 119]. The majority of co-stimulatory receptors expressed in leukocytes require crosslinking of their intracellular domains in order to initiate the activation signal. This necessitates the close proximity of the receptors in order to induce the activation signal. Founded on that concept, the first agonistic aptamer was constructed as a dimer [120].

Exploring strategies to counteract immune suppression may be a productive approach to immune therapy. Tumor-infiltrating lymphocytes in the tumor microenvironment produce multiple cytokines with immunosuppressive properties. Therefore, numerous studies have developed inhibitory aptamers to neutralize these cytokines with the goal of boosting the immune system's response and enhancing tumor cell elimination [121]. TGF-β is a multifaceted cytokine with a variety of immunosuppressive effects. These effects include the suppression of T-cell proliferation, hindering the T-cell stimulatory activities of antigen-presenting cells (APCs), and impeding T-cell differentiation into helper T cells and cytotoxic T lymphocytes (CTLs) [122]. Interleukin-10 (IL-10) is another prominent immunosuppressive and anti-inflammatory cytokine that is a key mediator of immune regulation secreted in the tumor microenvironment [123].

Aptamer-functionalized nanoparticles in drug delivery systems

Nanoscale drugs and drug delivery systems at the nanoscale level have opened up a new path for enhancing the therapeutic effectiveness of various agents and bioactive molecules by leveraging the Enhanced Permeability and Retention (EPR) effect. This effect allows for molecules or particles of a specific size to accumulate in cancer tissues more than in normal tissues [12, 139]. In other hands, nanocarriers covers a wide range of chemical combinations and protect drugs from degradation that led to increase half-life, augment cytotoxic drug payload, reduce renal clearance, control anticancer drug release kinetics, and improve solubility. A variety of therapeutic agents and biological imaging agents can be carried by nanocarriers, allowing for greater cytotoxic drug payload [140]. The use of nano-based technologies for imaging, diagnostics, and radiation therapy has increased in clinical settings [141143].

Aptamers' in vivo applications are limited due to their vulnerability to nuclease degradation and fast renal excretion. To overcome these limitations, several attempts have been made to modify aptamers to enhance their binding affinity with the target, improve their stability, and prevent degradation by in vivo nucleases [142, 144]. In addition to adjusting the SELEX protocol, nanocarriers can improve and modify aptamers for biological applications and enhance their stability and pharmacokinetics in vivo [142].

Combining aptamers with nanocarriers and nanoparticles can significantly enhance drug delivery efficiency (Table 6) (Fig. 2C). Nanocarriers have a high drug-loading capacity and can deliver drugs passively to specific areas, taking advantage of the enhanced EPR effect in tumors and inflamed tissues. Towards this end, aptamer-nanocarrier conjugates have been extensively explored for targeted drug delivery, based on nanoplatforms such as liposomes, DNA/RNA origamis /nanostructures, and inorganic gold or silicon nanomaterials [28] (Fig. 4). There are primarily two methods to assemble DNA/RNA nanostructures. The first method is creating "DNA tiles" by using short synthetic DNA strands, which is similar to the functioning of Lego bricks. The second method is called "DNA origami" which is a bottom-up assembly process that involves folding a long single-stranded DNA scaffold of a few thousand nucleotides and using hundreds of short staple strands to create complex 2D and 3D structures [145, 146]. Moreover, radiosensitizers-aptamers conjugated with nanoparticles radiotherapy efficiency is increased [142].

Table 6.

Aptamer-drug conjugations with nanocarriers/nanoparticles as cancer-targeted therapeutics

Chemotherapy
Aptamer names Type of aptamer Drug Nanocarriers/nanoparticles Type of cancer Refs.
MUC1(5TR1) DNA 5-fluorouracil Chitosan carbon quantum dot Breast Cancer [147]
Epirubicin Poly (lactic-co-glycolic acid) Breast Cancer [148]
Epirubicin Super paramagnetic iron oxide nanoparticles Colon cancer [149]
Doxorubicin PEGylated liposome Colon carcinoma [150]
SN-38 Chitosan nanoparticles Colon cancer [151]
SN-38 Camptothecin, conjugated to hyaluronic acid Colon cancer [152]
5-fluorouracil Hyaluronan/chitosan nanoparticles Colorectal adenocarcinoma [153]
Paclitaxel Chitosan-coated human serum albumin nanoparticles Breast cancer [154]
5TR1 and NAS-24 DNA Epirubicin Selenium nanoparticles Breast and colon cancer [155]
MUC1 and ATP aptamer DNA Epirubicin DNA diamond nanostructure Colon carcinoma and breast cancer [156]
AS1411 Methotrexate Chitosan-gold nanocluster Lung cancer [157]
Doxorubicin Fe3O4@UiO-66-NH2 Breast cancer [158]
Doxorubicin Polyamid-amin dendrimer grafted persistent luminescence [159]
5-fluorouracil Carboxymethyl chitosan Breast cancer [160]
Epigallocatechin gallate Chitosan-silica nanoparticles Ovarian cancer cell lines [161]
Erlotinib Chitosan nanoparticles Non-small cell lung cancer [162]
5-fluorouracil Hyaluronic acid sodium salt and alginic acid sodium salt Skin cancer [163]
Paclitaxel Human serum albumin Breast cancer [164]
Docetaxel Albumin Colon Cancer [165]
Doxorubicin Albumin nanoparticles loaded on iron oxide and gold nanoparticles Breast cancer [166]
Ferrocene, and purpurin Bovine serum albumin Breast cancer [167]
Doxorubicin Bovine serum albumin Breast cancer [168]
AS1411 and FOXM1 Apt DNA Doxorubicin Chitosan (CS)-Gold nanoparticles (AuNPs) Lung cancer [169]
HPA aptamers (S1.5) DNA Paclitaxel PEGylated PLGA nanoparticles Triple-negative breast cancer [170]
Anti-PSMA RNA Doxorubicin Thermally cross-linked superparamagnetic iron oxide nanoparticles (TCL-SPIONs) Prostate cancer [171]
Sgc8c-aptamer DNA Doxorubicin N-heterocyclic carbene (NHC)–gold(I) complexe Leukemia [172]
Anti-EpCAM aptamer DNA Doxorubicin Mesoporous silica nanoparticles Colon cancer [173]
Radiotherapy
Aptamer names Type of aptamer Drug Nanocarriers/nanoparticles Type of cancer Refs.
AS1411 DNA - Gold nanoclusters using bovine serum albumin capping agent Breast Cancer [104]
Verapamil Bovine serum albumin (BSA) coated silver nanoparticles (AgNPs) Glioma [174]
GMT8 DNA - PEGylated Ag@Au core–shell nanoparticles (GSGNPs) Malignant glioma [175]
Immunotherapy
Aptamer names Type of aptamer Drug/others ingredient Nanocarriers/nanoparticles Type of cancer Refs.
AS1411 DNA CRISPR/Cas9 plasmid Hyaluronic acid Non-small cell lung cancer [176]
α-PD1 (engineered monoclonal antibodies against PD1) PEG on nanomicelles Breast cancer and hepatocellular carcinoma [177]
Anti-CD16 and anti-MUC1 DNA Amphipathic nanoparticles adenocarcinomas (lung cancer and breast cancer) [178]
PD-L1 aptamer DNA Fexofenadine (FEXO) Albumin nanoparticles Colon cancer [179]
PD-L1 aptamer and AS1411 DNA Prussian blue nanoparticles (PBs) coated with platelet membrane (PM) Breast cancer [180]
sTN145 RNA PD-L1 siRNA PLGA-based polymeric nanoparticles Triple-negative breast cancer [181]
APDL1(PD-L1 aptamer) DNA Gold nanorods Non-small cell lung cancer [182]
CTLA-4 aptamer DNA Fexofenadine (FEXO) Albumin nanoparticle Colon cancer and breast cancer [183]
IL-4Rα aptamer RNA CpG oligodeoxynucleotide (ODN) Liposome Colon carcinoma [184]
Endoglin aptamer (ENG-Apt) DNA Interferon-inducible protein-10 (IP-10) Liposome -based nanocapsules Melanoma tumor [185]

Fig. 4.

Fig. 4

The common types of aptamer-nanocarrier conjugates for targeted drug delivery. The various types of aptamer-nanocarrier conjugates used for targeted drug delivery have been extensively explored, and are based on nanoplatforms such as liposomes, DNA/RNA origami/nanostructures, and inorganic gold or silicon nanomaterials

Conclusions

Cancer is a serious global threat to humanity, and medical researchers worldwide are prioritizing cancer research and therapy. The main challenge for cancer therapy is to deliver drugs to the tumor site in a way that minimizes toxicity to healthy organs. Aptamers are remarkable ligands that recognize and selectively bind to specific targets with unique properties that distinguish them from antibodies, making them ideal alternatives. They possess physicochemical properties that can be easily altered, allowing them to be functionalized with various types of drugs, such as chemotherapy, radiotherapy, and immunotherapy agents, as well as siRNA, polymers, and nanoparticles, to overcome the limitations of cancer treatment. Although aptamers have certain drawbacks such as low pharmacokinetic profile, rapid filtration and distribution to tissues from the plasma, and high susceptibility to nucleases-mediated degradation, they are increasingly attractive for use in tumor-targeted therapies. With modern biotechnology and improved aptamer screening, they can now be designed for each tumor and individual, paving the way for more precise and personalized treatments. It is important to note that this novel approach is still in its infancy, and many parameters require careful investigation. Recently, aptamers have shown promise in pre-clinical settings. We hope that clinical studies will lead to the development of therapeutic drugs for use in future medicine.

Acknowledgements

The authors express gratitude for consultations from Arak Ayatollah Khansari Hospital's clinical research development unit and Cancer Research Center at Semnan University of Medical Sciences.

Abbreviations

SELEX

Systematic evolution of ligands by exponential enrichment

FDA

Food and Drug Administration

AMD

Age-related macular degeneration

PD-1

Programmed cell death protein 1

PD-L1

Programmed cell death ligand 1

CTLA-4

Cytotoxic T lymphocyte-associated antigen-4

CAR-T

Chimeric antigen receptor-T

NGS

Next-generation sequencing

2D

2 Dimensional

3D

3 Dimensional

MD

Molecular docking

MDS

Molecular dynamics simulation

QSAR

Quantitative structure–activity relationship

VEGF

Vascular endothelial growth factor

CLL

Chronic Lymphocytic Leukemia

MUC1

Mucin 1

HER2

Human epidermal growth factor receptor 2

EGFR

Epidermal growth factor receptor

PDAC

Pancreatic ductal adenocarcinoma

GPC3

Glypican 3

BNCT

Boron Neutron Capture Therapy

TGF-β

Transforming growth factor beta

APCs

Antigen-presenting cells

CTLs

Cytotoxic T lymphocytes

IL-10

Interleukin-10

TIM-3

T-cell immunoglobulin mucin 3

LAG3

Lymphocyte-activation gene 3

IFN-γ

Interferon-gamma

NMD

Nonsense-mediated mRNA decay

STAT-3

Signal transducer and activator of transcription 3

Tregs

Regulatory T cells

IL-2

Interleukin-2

TNF-α

Tumor necrosis factor alpha

EPR

Enhanced Permeability and Retention

AuNPs

Gold nanoparticles

BSA

Bovine serum albumin

AgNPs

Silver nanoparticles

ODN

Oligodeoxynucleotide

PEG

Polyethylene glycol

Author contributions

All authors contributed to the conception and main idea of the work. FF, Sh. Sh, Sh. F, A.A., B.S., and F.M. worked on the draft of the main text, figures, and tables. FF supervised the work and provided comments and additional scientific information. F.M. and F.F. reviewed and revised the text. Finally, all authors drafted and finalized the manuscript and approved the final manuscript.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Availability of data and materials

Not applicable.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Fatemeh Mahmoudian and Azin Ahmari contributed equally to this work and are joint first authors.

Contributor Information

Shohreh Fahimirad, Email: sh_fahimirad@yahoo.com.

Fahimeh Fattahi, Email: ffattahi1@gmail.com.

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