Liquid Biopsy Biomarkers Research Articles

Recent Advances in Wash-Free Detection Methods of Extracellular Vesicles: A Mini Review.

Extracellular vesicles (EVs) are emerging biomarkers in liquid biopsy that have gained increasing attention in disease diagnosis and prognosis monitoring. Most reported detection methods require the isolation of EVs from complex body liquids, often involving multiple washing steps to remove excess reagents and eliminate background interference. Nonetheless, these methods not only cause the loss of EVs but also result in poor repeatability and prolonged detection duration. The focus on wash-free detection methods is increasing due to the specific ability to avoid the removal of surplus reagents and, in some cases, even the isolation and purification of EVs. Viewing from different methodological perspectives, this review summarizes the recent advances in wash-free detection of EVs, containing aggregation induction, proximity sensing, allosteric probes, phase separation, Roman spectroscopy, field-effect transistor and microcantilever. The pros and cons of each detection strategy are impartially evaluated and this review concludes the prospects for future developments in this field.

Simultaneous Multi-miRNA Detection in Urinary Small Extracellular Vesicles Using Target-Triggered Locked Hairpin DNA-Functionalized Au Nanoprobes for Systemic Lupus Erythematosus Diagnosis.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by multiorgan involvement and complex clinical manifestations, leading to cumbersome diagnostic processes. MicroRNAs (miRNAs) in small extracellular vesicles (sEVs) have emerged as promising biomarkers for liquid biopsy. Herein, we constructed a simple multi-miRNA detection platform based on target-triggered locked hairpin DNA-functionalized Au nanoprobes (AuNP@LH) as a simple and noninvasive tool for the diagnosis and classification of SLE. The nanoprobes were prepared by modifying locked hairpin DNA designed for target miRNAs on gold nanoparticles. In the presence of target miRNAs, target-triggered hairpin assembly amplification was induced, and then fluorophore-labeled bolt DNA was released, resulting in a fluorescence signal responsive to miRNA concentration. Benefiting from the enzyme-free amplification strategy, the limits of detection (LOD) of three miRNA biomarkers for SLE were 19 pM for microRNA-146a, 66 pM for microRNA-29c, and 19 pM for microRNA-150. The proposed probes have been successfully applied to simultaneously detect multiple miRNAs in urinary sEVs from patients diagnosed with SLE and healthy controls, which exhibited good practicability in SLE diagnosis with the area under curve (AUC) of the receiver characteristic curve reaching 1.00. Furthermore, SLE patients with different disease severity can be differentiated with 81.2% accuracy. Predictably, with the advantages of low cost, rapidity, high sensitivity, and noninvasiveness, our multi-miRNA detection platform is a potential tool for multiple miRNA analysis and related clinical applications.

Genomic and epigenomic analysis of plasma cell-free DNA identifies stemness features associated with worse survival in lethal prostate cancer.

Metastatic castration-resistant prostate cancer (mCRPC) resistant to androgen receptor signaling inhibitors (ARSIs) is often lethal. Liquid biopsy biomarkers for this deadly form of disease remain under investigation, and underpinning mechanisms remain ill-understood. We applied targeted cell-free DNA sequencing to 126 mCRPC patients from three academic cancer centers, and separately performed genome-wide cell-free DNA methylation sequencing on 43 plasma samples collected prior to the initiation of first-line ARSI treatment. To analyze the genome-wide sequencing data, we performed nucleosome-positioning and differential methylated region analysis. We additionally analyzed single-cell and bulk RNA sequencing data from 14 and 80 mCRPC patients, respectively, to develop and validate a stem-like signature, which we inferred from cell-free DNA. Targeted cell-free DNA sequencing detected AR/enhancer alterations prior to first-line ARSIs which correlated with significantly worse PFS (p = 0.01; HR = 2.12) and OS (p = 0.02; HR = 2.48). Plasma methylome analysis revealed that AR/enhancer lethal mCRPC patients have significantly higher promoter-level hypomethylation than AR/enhancer wild-type mCRPC patients (p < 0.0001). Moreover, gene ontology and CytoTRACE analysis of nucleosomally more accessible transcription factors in cell-free DNA revealed enrichment for stemness-associated transcription factors in lethal mCRPC patients. The resulting stemness signature was then validated in a completely held-out cohort of 80 mCRPC patients profiled by tumor RNA sequencing. We analyzed a total of 220 mCRPC patients, validated the importance of cell-free AR/enhancer alterations as a prognostic biomarker in lethal mCRPC and showed that the underlying mechanism for lethality involves reprogramming developmental states toward increased stemness.

Cell-free DNA end characteristics enable accurate and sensitive cancer diagnosis

The fragmentation patterns of cell-free DNA (cfDNA) in plasma can potentially be utilized as diagnostic biomarkers in liquid biopsy. However, our knowledge of this biological process and the information encoded in fragmentation patterns remains preliminary. Here, we investigated the cfDNA fragmentomic characteristics against nucleosome positioning patterns in hematopoietic cells. cfDNA molecules with ends located within nucleosomes were relatively shorter with altered end motif patterns, demonstrating the feasibility of enriching tumor-derived cfDNA in patients with cancer through the selection of molecules possessing such ends. We then developed three cfDNA fragmentomic metrics after end selection, which showed significant alterations in patients with cancer and enabled cancer diagnosis. By incorporating machine learning, we further built high-performance diagnostic models, which achieved an overall area under the curve of 0.95 and 85.1% sensitivity at 95% specificity. Hence, our investigations explored the end characteristics of cfDNA fragmentomics and their merits in building accurate and sensitive cancer diagnostic models.

AGO2 protein: a key enzyme in the miRNA pathway as a novel biomarker in adrenocortical carcinoma.

Adrenocortical carcinoma (ACC) is a rare and aggressive malignancy characterised by diagnostic challenges, high recurrence rates, and poor prognosis. This study explored the role microRNA (miRNA) processing genes in ACC, and their potential role as diagnostic and prognostic biomarkers. We analysed the mRNA expression levels of miRNA machinery components (DROSHA, DGCR8, XPO5, RAN, DICER, TARBP2 and AGO2) utilising mRNA-Seq data from The Cancer Genome Atlas (TCGA) and The Genotype-Tissue Expression (GTEx) projects. Additionally, protein levels were quantified in tissue samples from the Kolling Institute of Medical Research's tumour bank. Our results demonstrated that among all miRNA processing components, AGO2 exhibited significant overexpression in ACC compared to the normal adrenal cortex (NAC) and benign adrenal adenoma (AA) (p < 0.001). Kaplan-Meier survival analysis indicated that higher AGO2 expression correlated with significantly worse overall survival in ACC patients (HR 7.07, p < 0.001). Among 32 cancer types in TCGA, the prognostic significance of AGO2 was most prominent in ACC. This study is the first to report AGO2's potential as a diagnostic and prognostic biomarker in ACC, emphasising its significance in ACC pathogenesis and potential application as a non-invasive liquid biopsy biomarker.

O4-4 Circulating microRNA as liquid biopsy biomarker for prediction of oncological outcomes in patients with bladder cancer

O4-4 Circulating microRNA as liquid biopsy biomarker for prediction of oncological outcomes in patients with bladder cancer

Evolution of Liquid Biopsies for Detecting Pancreatic Cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy characterised by late diagnosis and poor prognosis. Despite advancements, current diagnostic and prognostic strategies remain limited. Liquid biopsy techniques, including circulating tumour DNA (ctDNA), circulating tumour cells (CTCs), circulating tumour exosomes, and proteomics, offer potential solutions to improve PDAC diagnosis, prognostication, and management. A systematic search of Ovid MEDLINE identified studies published between 2019 and 2024, focusing on liquid biopsy biomarkers for PDAC. A total of 49 articles were included. ctDNA research shows some promise in diagnosing and prognosticating PDAC, especially through detecting mutant KRAS in minimal residual disease assays. CTC analyses had low sensitivity for early-stage PDAC and inconsistent prognostic results across subpopulations. Exosomal studies revealed diverse biomarkers with some diagnostic and prognostic potential. Proteomics, although relatively novel, has demonstrated superior accuracy in PDAC diagnosis, including early detection, and notable prognostic capacity. Proteomics combined with CA19-9 analysis has shown the most promising results to date. An update on multi-cancer early detection testing, given its significance for population screening, is also briefly discussed. Liquid biopsy techniques offer promising avenues for improving PDAC diagnosis, prognostication, and management. In particular, proteomics shows considerable potential, yet further research is needed to validate existing findings and comprehensively explore the proteome using an unbiased approach.

Nanoscale Extracellular Vesicle-Enabled Liquid Biopsy: Advances and Challenges for Lung Cancer Detection.

Lung cancer is responsible for the death of over a million people worldwide every year. With its high mortality rate and exponentially growing number of new cases, lung cancer is a major threat to public health. The high mortality and poor survival rates of lung cancer patients can be attributed to its stealth progression and late diagnosis. For a long time, intrusive tissue biopsy has been considered the gold standard for lung cancer diagnosis and subtyping; however, the intrinsic limitations of tissue biopsy cannot be overlooked. In addition to being invasive and costly, it also suffers from limitations in sensitivity and specificity, is not suitable for repeated sampling, provides restricted information about the tumor and its molecular landscape, and is inaccessible in several cases. To cope with this, advancements in diagnostic technologies, such as liquid biopsy, have shown great prospects. Liquid biopsy is an innovative non-invasive approach in which cancer-related components called biomarkers are detected in body fluids, such as blood, urine, saliva and others. It offers a less invasive alternative with the potential for applications such as routine screening, predicting treatment outcomes, evaluating treatment effectiveness, detecting residual disease, or disease recurrence. A large number of research articles have indicated extracellular vesicles (EVs) as ideal biomarkers for liquid biopsy. EVs are a heterogeneous collection of membranous nanoparticles with diverse sizes, contents, and surface markers. EVs play a critical role in pathophysiological states and have gained prominence as diagnostic and prognostic biomarkers for multiple diseases, including lung cancer. In this review, we provide a detailed overview of the potential of EV-based liquid biopsy for lung cancer. Moreover, it highlights the strengths and weaknesses of various contemporary techniques for EV isolation and analysis in addition to the challenges that need to be addressed to ensure the widespread clinical application of EV-based liquid biopsies for lung cancer. In summary, EV-based liquid biopsies present interesting opportunities for the development of novel diagnostic and prognostic platforms for lung cancer, one of the most abundant cancers responsible for millions of cancer-related deaths worldwide.

Detection of the BRAFV600E Mutation in Circulating Free Nucleic Acids as a Biomarker of Thyroid Cancer: A Review.

Background: Liquid biopsy is a method that could potentially improve the management of thyroid cancer (TC) by enabling the detection of circulating tumor DNA and RNA (ctDNA, ctRNA). The BRAFV600E mutation appears to be the most representative example of a biomarker in liquid biopsy, as it is the most specific mutation for TC and a target for molecular therapeutics. The aim of this review is to summarize the available data on the detection of the BRAFV600E mutation in liquid biopsy in patients with TC. Methods: A comprehensive analysis of the available literature on the detection of the BRAFV600E mutation in liquid biopsy in TC was performed. Thirty-three papers meeting the inclusion criteria were selected after full-text evaluation. Results: Eleven papers discussed correlations between BRAF mutation and clinicopathological characteristics. Nine studies tested the utility of BRAFV600E detection in the assessment of residual or recurrent disease. Seven studies investigated BRAF-mutated circulating tumor nucleic acids (ctNA) as a marker of response to targeted therapy. In seven studies the method did not detect the BRAFV600E mutation. Conclusions: This review shows the potential of BRAFV600E-mutated ctNA detection in monitoring disease progression, particularly in advanced TC. The diagnostic value of BRAFV600E-mutated ctNA detection appears to be limited to advanced TC. The choice of the molecular method (quantitative PCR [qPCR], droplet digital polymerase chain reaction [ddPCR], and next-generation sequencing [NGS]) should be made based on the turnaround time, sensitivity of the test, and the clinical indications. Despite the promising outcomes of some studies, there is a need to verify these results on larger cohorts and to unify the molecular methods.

Unlocking the potential of exosomes: A new frontier in liver cancer liquid biopsy

Liquid biopsy has emerged as one of the non-invasive diagnostic strategies for cancer, offering significant advantages over traditional tissue biopsies. Exosomes the nanoscale extracellular vesicles, have significantly been in the spotlight of research and investigation as highly informative biomarkers in liquid biopsy. These vesicles, which are secreted by a variety of cells, including tumor cells, contain useful information on the molecular characteristics of the parent cell and could be used as a mirror into the processes underlying cancer biology. The analysis of the biomolecular exosomal cargo, including proteins, nucleic acids, and lipids, has shown great promise for the development of sensitive and specific liquid biopsy-based biomarkers for cancer detection, monitoring, and prognosis. This review discusses the role of exosomes in the liver cancer development and metastatic process, including their ability to transfer oncogenic material and facilitate tumor progression. It also explores the application of exosomes as a tool for early cancer detection, monitoring disease status, and predicting prognosis, with a specific focus on liver cancer. Exosomes hold great promise as a minimally invasive liquid biopsy approach that could revolutionize the way we diagnose and manage this deadly disease.

CRISPR/Cas12a cleavage triggered nanoflower for fluorescence-free and target amplification-free biosensing of ctDNA in the terahertz frequencies.

The detection of tumor biomarkers in liquid biopsies requires high sensitivity and low-cost biosensing strategies. However, few traditional techniques can satisfy the requirements of target amplification-free and fluorescence-free at the same time. In this study, we have proposed a novel strategy for ctDNA detection with the combination of terahertz spectroscopy and the CRISPR/Cas12 system. The CRISPR/Cas12a system is activated by the target ctDNA, resulting in a series of reactions leading to the formation of an Au-Fe complex. This complex is easily extracted with magnets and when dropped onto the terahertz metamaterial sensor, it can enhance the frequency shift, providing sensitive and selective sensing of the target ctDNA. Results show that the proposed terahertz biosensor exhibits a relatively low detection limit of 0.8 fM and a good selectivity over interference species. This detection limit is improved by three orders of magnitude compared with traditional biosensing methods using terahertz waves. Furthermore, a ctDNA concentration of 100 fM has been successfully detected in bovine serum (corresponding to 50 fM in the final reaction system) without amplification.

416P Prognostic impact of liquid biopsy (LB) biomarkers at relapse on second-line (2L) treatment (Tx) after progression to endocrine therapy (ET) in metastatic breast cancer (mBC): Ancillary analysis of the MAGNETIC.1 study

416P Prognostic impact of liquid biopsy (LB) biomarkers at relapse on second-line (2L) treatment (Tx) after progression to endocrine therapy (ET) in metastatic breast cancer (mBC): Ancillary analysis of the MAGNETIC.1 study

Development and validation of a novel combinational index of liquid biopsy biomarker for longitudinal lung cancer patient management

ObjectivesMany cancer biomarkers such as the circulating tumor cells/microemboli (CTCs/CTM) have been reported significant associations with clinical outcomes. However, different biomarkers have different sensitivities and specificities for cancer types and cohort patients, and synergistic effects between certain biomarkers have also been observed, leading to the inaccurate, fluctuating, and even controversial results when multiple biomarkers are analyzed together. In this paper, a novel combinational index, P-score, was developed for monitoring and predicting the disease condition of lung cancer patients during follow-up visits. Materials and methodsThere were totally 13 return patients with 54 blood samples involved in this study to examine the number of CTC and CTM. Information from one group of 7 patients including 27 blood samples with published clinical data was employed to develop while those from another group of 4 patients containing 14 blood samples with unpublished clinical data were used to validate the P score in prediction. Enumerations were based on immunofluorescent staining images. Distributions of CTC/CTM and their frequencies in stratified patients were carefully examined and analyzed the ROC curve and AUC value to develop the P score and P score-based prediction model. Results and conclusionWe found that the predictive power of P-score was not only comparable to the traditional cancer marker, in comparison with individual CTC/CTM, more false positives could be corrected by using P-score, thereby to improve the accuracy of analysis. From our preliminary validation tests, the prognosis and disease progression monitored longitudinally by P-score were further confirmed by clinical outcome data from physicians and its sensitivity was even better than those from individual biomarkers. We believe that this novel combinational indicator could be a promising tool to interpret clinical outcomes more accurately from multiple factors, particularly useful for the early prognosis and longitudinal monitoring in cancer patient management.

Protein Biomarkers of Gastric Preneoplasia and Cancer Lesions in Blood: A Comprehensive Review.

Gastric cancer (GC) is a major cause of cancer-related mortality worldwide. It is often associated with a bad prognosis because of its asymptomatic phenotype until advanced stages, highlighting the need for its prevention and early detection. GC development is preceded by the emergence of gastric preneoplasia lesions (GPNLs), namely atrophic gastritis (AG), intestinal metaplasia (IM), and dysplasia (DYS). GC is currently diagnosed by endoscopy, which is invasive and costly and has limited effectiveness for the detection of GPNLs. Therefore, the discovery of non-invasive biomarkers in liquid biopsies, such as blood samples, in order to identify the presence of gastric preneoplasia and/or cancer lesions at asymptomatic stages is of paramount interest. This comprehensive review provides an overview of recently identified plasma/serum proteins and their diagnostic performance for the prediction of GPNLs and early cancer lesions. Autoantibodies appear to be promising biomarkers for AG, IM and early gastric cancer detection, along with inflammation and immunity-related proteins and antibodies against H. pylori virulence factors. There is a lack of specific protein biomarkers with which to detect DYS. Despite the need for further investigation and validation, some emerging candidates could pave the way for the development of reliable, non-invasive diagnostic tests for the detection and prevention of GC.

CRISPR-based dual-aptamer proximity ligation coupled hybridization chain reaction for precise detection of tumor extracellular vesicles and cancer diagnosis

Tumor cell-derived extracellular vesicles (TEVs) contain numerous cellular molecules and are considered potential biomarkers for non-invasive liquid biopsy. However, due to the low abundance of TEVs secreted by tumor cells and their phenotypic heterogeneity, there is a lack of sensitive and specific methods to quantify TEVs. Here, we developed a dual-aptamer proximity ligation-coupled hybridization chain reaction (HCR) method for tracing TEVs, exploiting CRISPR to achieve highly sensitive detection. Taking advantage of the high binding affinity of aptamers, the two aptamers (AptEpCAM, AptHER2) exhibited the high selectivity for TEVs recognition. HCR generated long-repeated sequence containing multiple crRNA targetable barcodes, and the signals were further amplified by CRISPR upon recognizing the HCR sequences, thereby enhancing the sensitivity. Under optimal conditions, the developed method demonstrated a favorable linear relationship in the range of 2 × 103−107 particles/μL, with a limit of detection (LOD) of 3.3 × 102 particles/μL. We directly applied our assay to clinical plasma analysis, achieving 100 % accuracy in cancer diagnosis, thus demonstrating the potential clinical applications of TEVs. Due to its simplicity and rapidity, excellent sensitivity and specificity, this method has broad applications in clinical medicine.

Making Healthcare Accessible: A Rapid Clean-Room-Free Fabrication Strategy for Microfluidics-Driven Biosensors Based on Coupling Stereolithography and Hot Embossing.

Microfluidics offers transformative potential in healthcare by enabling miniaturized, user-friendly, and cost-effective devices for disease diagnostics among other biomedical applications; however, their meaningful adoption is severely hindered, especially in developing countries and resource-limited settings, by the cost, time, and complexity of their fabrication. To overcome this barrier of access, this work develops a novel approach for highly efficient (<4 h), cost-effective, and clean-room-free fabrication of functional polydimethylsiloxane (PDMS)-based microfluidic devices based on coupling stereolithography three-dimensional (3D) printing with hot embossing. The strategy exhibits high fidelity between the digital design and final device, remarkable transfer accuracy between the 3D print and poly(methyl methacrylate) (PMMA) mold, in addition to highly smooth surfaces (R a < 1 μm). To establish the versatility of the approach and performance quality of the fabricated devices, three advanced microfluidics-driven biosensing platforms are developed: a microsphere droplet generator, a stop-flow lithography-based hydrogel microparticle synthesizer, and a hydrogel postembedded microfluidic device for multiplexed biomarker detection. As a proof-of-concept, the latter platform was applied to the multiplexed detection of microRNA, a highly promising class of liquid biopsy biomarkers for many diseases including cancer. Notably, the ability to demonstrate multiplexed sensing of disease biomarkers within devices made through a facile, rapid, and clean-room-free strategy demonstrates the immense potential of this fabrication approach to accelerate the adoption and advancement of biomedical microfluidic devices in practice and in resource-limited settings.

Comparative profiling of whole-cell and exosome samples reveals protein signatures that stratify breast cancer subtypes

Identifying novel breast cancer biomarkers will improve patient stratification, enhance therapeutic outcomes, and help develop non-invasive diagnostics. We compared the proteomic profiles of whole-cell and exosomal samples of representative breast cancer cell subtypes to evaluate the potential of extracellular vesicles as non-invasive disease biomarkers in liquid biopsies. Overall, differentially-expressed proteins in whole-cell and exosome samples (which included markers for invasion, metastasis, angiogenesis, and drug resistance) effectively discriminated subtypes; furthermore, our results confirmed that the proteomic profile of exosomes reflects breast cancer cell-of-origin, which underscores their potential as disease biomarkers. Our study will contribute to identifying biomarkers that support breast cancer patient stratification and developing novel therapeutic strategies. We include an open, interactive web tool to explore the data as a molecular resource that can explain the role of these protein signatures in breast cancer classification.Graphical (A) We quantified proteomic profiles of breast cancer cells (BCCs) and breast cancer-derived exosomes (BCDEs) samples from four breast cancer cell lines representative of common breast cancer subtypes – Her2-positive (Her2, MDA-MB-453), Luminal A (LA, MCF7), Luminal B (LB, ZR-75), and triple-negative (TN, MDA-MB-231). (B) We independently performed four comparisons for BCCs and BCDEs, comparing each cell line against the remaining three. (C) We identified differentially-expressed proteins (DEPs) for BCCs and BCDEs, defined protein signatures, and functionally analyzed resulting networks. Through pathway inference analysis (PIA), we identified Kyoto Encyclopedia of genes and genomes (KEGG) subpaths and biological Gene Ontology (GO) terms that displayed differential activation. (D) We validated our proteomic signature using the Cancer Genome Atlas (TCGA) and the Cancer Proteome Atlas (TCPA) databases, verified that differentially-activated pathways in BCDEs caused a corresponding response in receptor cells, and confirmed that the BCDE proteomic signature reflects their cell-of-origin and identifies candidate disease biomarkers in liquid biopsies

Differentially Expressed Blood ARLNC1 in Combination with PCA3/PSA have Reassuring Clinical Applications in the Early Diagnosis of Prostate Cancer in Iranians: A pilot study.

Prostate cancer (PCA) is the second most common malignancy in Western countries. Long non-coding RNAs are new markers in disease diagnosis. Our aim of this study was to investigate liquid biopsy biomarkers with high specificity and sensitivity for early diagnosis of PCA patients in Iran. Blood specimens were collected from 29 PCA, 32 benign prostate hyperplasia (BPH), and 29 control (CTRL) individuals. Real-time PCR analyzed expression amounts of PSA, ARLNC1, UCA1, and PCA3. The ROC curve (receiver operating characteristic curve) analysis evaluated the diagnostic power of the examined molecules for PCA. There was a significant upregulation of PCA3 in PCA and BPH groups compared to the controls (p values for PCA3=< 0.001 and BPH vs. CTRL = 0.0015) while there was no significant difference between PCA and BPH individuals. A significant upregulation of ARLNC1 was seen in BPH group compared to the controls (p value=0.0042). Also, PCA3 expression level showed a significant relationship with prostate volume. There was no significant difference in UCA1 and PSA expression levels among the three groups (>0.05). The PCA3/PSA ratio was significantly increased in PCA and BPH individuals vs. the CTRL group with high sensitivity and specificity. The gene expression of PCA3 and ARLNC1 in the BPH group showed a significant relationship with age. Our findings showed that in the diagnosis of prostate cancer, measuring the expression of PCA3, PSA, and ARLNC1 genes is necessary to determine the health, benign, or cancerous status of patients' prostate. Also, selecting the PCA3/PSA ratio provides a new approach for diagnosing this cancer if confirmed in a larger clinical sample size and functional studies.

Liquid Biopsy in the Clinical Management of Cancers.

Liquid biopsy, a noninvasive diagnosis that examines circulating tumor components in body fluids, is increasingly used in cancer management. An overview of relevant literature emphasizes the current state of liquid biopsy applications in cancer care. Biomarkers in liquid biopsy, particularly circulating tumor DNA (ctDNA), circulating tumor RNAs (ctRNA), circulating tumor cells (CTCs), extracellular vesicles (EVs), and other components, offer promising opportunities for early cancer diagnosis, treatment selection, monitoring, and disease assessment. The implementation of liquid biopsy in precision medicine has shown significant potential in various cancer types, including lung cancer, colorectal cancer, breast cancer, and prostate cancer. Advances in genomic and molecular technologies such as next-generation sequencing (NGS) and digital polymerase chain reaction (dPCR) have expanded the utility of liquid biopsy, enabling the detection of somatic variants and actionable genomic alterations in tumors. Liquid biopsy has also demonstrated utility in predicting treatment responses, monitoring minimal residual disease (MRD), and assessing tumor heterogeneity. Nevertheless, standardizing liquid biopsy techniques, interpreting results, and integrating them into the clinical routine remain as challenges. Despite these challenges, liquid biopsy has significant clinical implications in cancer management, offering a dynamic and noninvasive approach to understanding tumor biology and guiding personalized treatment strategies.

Three-way junction-mediated three-letter coded SDA cascade CRISPR/Cas12a system for circRNA detection

Circular RNAs (circRNAs), a special type of non-coding RNAs with covalently closed circular structure, have emerged as promising liquid biopsy biomarker. However, the precise detection of circRNAs is severely hampered by interference from homologous linear RNAs, posing a significant obstacle for their applications in molecular diagnostics. Herein, a strategy named three-way junction (TWJ)-mediated three-letter coded strand displacement amplification (SDA) cascade CRISPR/Cas12a system (TTSC) has been devised to achieve precise detection of circRNAs. Three-letter coded SDA (TC-SDA) has been originally designed in this study for eliminating undesired interference from linear RNA and performing dual functionality in both discrimination and amplification. With this design, the proposed strategy elegantly distinguishes between circRNA and homologous linear RNA through proximity effect of TWJ structure and non-specific amplification blocking ability of the three-letter code. Ultimately, this strategy successfully identified circRNA down to 0.1 % abundance. In addition, benefiting from the synergistically accelerated multiple signal amplification in one step, TTSC strategy exhibited good linear relationship of 0.5–1000 pM with a detection limit of 80.6 fM. Notably, the recovery test indicated that the proposed strategy has good prospects for clinical applications. Therefore, TTSC is expected to provide an ideal platform for circRNA detection in biotechnology research and molecular diagnostics.