Integrated FET sensing microsystem for specific detection of pancreatic cancer exosomal miRNA10b

Dual-antibody functionalized transistor biosensor for specific diagnosis of liver cancer

Selectively and sensitively detecting specific exosomal markers is critical for early diagnosis of liver cancer. However, identifying specific exosomal biomarkers and establishing accurate, convenient detection methods remain challenging. In this study, we used bioinformatics to identify the higher levels of EpCAM and GPC-3 proteins on liver cancer exosomes. These markers were used to create a dual-antibody functionalized transistor biosensor for precise detection of liver cancer exosomes. The techniques exhibited outstanding specificity and sensitivity. Detection thresholds in PBS and simulated plasma were established at 20 particles/μL and 47 particles/μL, respectively, facilitating the distinction of liver cancer cell-derived exosomes from those originating from various other cancer cells. Furthermore, in clinical samples testing, this approach not only distinguished clinical samples among liver cancer patients and healthy individuals, but also demonstrated the ability to differentiate liver cancer from other types of tumors, achieving a precision and accuracy rate of 100 %. The developed biosensor demonstrates excellent potential for clinical application and this work offers a promising and effective approach for cancer diagnosis.

Accurate Diagnosis of Pancreatic Ductal Adenocarcinoma by Detection of miRNA-196a Biomarker in Exosome Using Solution-Gated Graphene Transistor with Antifouling Design

The accurate diagnosis of pancreatic ductal adenocarcinoma (PDAC) suffers low specify, and low sensitivity of biomarker detection. In complex biological fluid environments, nonspecific adsorption is prevalent, posing challenges to the accurate detection of biomarkers at low concentrations. Herein, a highly sensitive and selective solution-gated graphene transistor (SGGT) is fabricated for the detection of miRNA-196a in exosomes to diagnose PDAC. The antifouling modification on the surface of the gate electrode is employed through using bovine serum albumin as a common sealing agent and poly adenine (polyA8) to enhance surface hydrophilicity. The effect of background noise on the detection is effectively reduced. The limit of detection reached 1.82 × 10-19 m without the need for labeling or amplification, and the detection time is within 25 min. The clinical experiments verify that receiver operating characteristic curve values of miRNA-196a detection in clinical diagnosis are higher than that of carbohydrate antigen 19-9 biomarker, and are as high as 0.98. The miRNA-196a detection can well distinguish PDAC from non-PDAC subjects. The SGGT sensor platform demonstrates significant potential for the accurate detection and diagnosis of PDAC within the milieu of complex biological samples.

Advances in magnetic affinity-based isolation/detection of exosomes for robust diagnostics

The review article provides a short introduction to exosomes with the focus to use exosomes as disease markers itself (i.e. their concentration or presence of some specific receptors) or a source of disease biomarkers such as proteins and metabolites. In detail, we are discussing various methods of exosome isolation and the main focus of the review paper is on affinity capture of exosomes, since some of them can be applied to the isolation of specific sub-populations of exosomes produced by some specific organs. The article provides a comprehensive overview of magnetic (bio)affinity capture applied to the detection of exosomes or exosomal cargo using different (bio)affinity capture ligands such as antibodies, DNA aptamers, peptides, glycan-based recognition, transferrin-based approaches, affinity based on recognition of phospholipids of exosomes and other approaches including electrostatic interactions. The review in detail provides key analytical and clinical parameters of such approaches in a form of an extensive table summarising outcomes published in the last two years (2023-2024). Finally, the review paper also provides conclusions sections discussing pros and cons of magnetic (bio)affinity capture for exosome isolation and/or determination  of exosomal content.

Solution-Gated Thin Film Transistor Biosensor-Based SnO2 Amorphous Film for Label-Free Detection of Epithelial Cell Adhesion Molecules

Epithelial cell adhesion molecule (EpCAM) was considered to be an important marker of multiple tumors, and its high expression is closely related to the early diagnosis and treatment of tumors. At present, metal oxide semiconductors have become a key component of biosensor and bioelectronics technology. Tin oxide shows great potential for development because of its nontoxic, nonpolluting, low price, and excellent electrical properties. In this study, a novel SnO2 solution-gated thin film transistor (SGTFT) biosensor for the specific detection of EpCAM was successfully developed using SnO2 film prepared by the sol-gel method as the channel material. By selecting the optimal thickness of 100 nm SnO2 film as the channel material, the transconductance value (gm) reached 1432 μS, and the threshold voltage (Vth) remained stable at 0.288 V. In order to achieve qualitative and quantitative detection of EpCAM, SnO2 films were subjected to a specific chemical treatment to fix the aptamer. Through a specific recognition between the aptamer and EpCAM, the gate voltage changes were triggered to regulate the channel current of the device. FE-SEM, EIS, XPS, and electrical performance tests were employed to track and measure the modification process. Based on the optimizations described above, the prepared SGTFT exhibited high detection sensitivity (14.6 mV·dec-1), the limit of detection (LOD) down to 24.4 pg/mL, and the calibration curves in the range of 0.02 ng/mL-500 ng/mL for EpCAM sensing. The developed SnO2-SGTFT biosensor is anticipated to provide a new highly sensitive and specific detection platform for health monitoring and disease diagnosis.

A microfluidic-based chemiluminescence biosensor for sensitive multiplex detection of exosomal microRNAs based on hybridization chain reaction

The analysis of microRNAs (miRNAs) in exosomes is of great importance for noninvasive early disease diagnosis. However, current techniques to detect exosomal miRNAs is hampered either by laborious exosome isolation or low abundance of miRNAs in exosomes. Here, we developed a microfluidic chemiluminescence (CL) analysis method for the multiplexed detection of exosomal miR-21 and miR-155. The microfluidic device contained three parts: a snake-shaped channel for fully mixing chemiluminescent reagents, a ship-shaped channel modified with CD63 protein aptamer for capturing exosomes, and another two parallel ship-shaped channels for hybridization chain reaction (HCR) amplification and CL detection. The multiple signal amplification was realized by Y-shaped arrays, HCR amplification, and poly-HRP catalyzed CL reaction. Using this multiple signal amplification method, our microfluidic CL biosensor achieves a limit of detection of miRNAs of 0.49 fM, with a linear range of 1 fM-10 pM, which is better or comparable to previously reported biosensors. What's more, the proposed microfluidic biosensor exhibits great specificity and selectivity to the target miRNA. Moreover, the microfluidic CL strategy exhibited excellent accuracy and could significantly distinguish different cancer subtypes as well as cancer patients and healthy people. These results suggest that this simple, high sensitive, and more accurate analytical strategy by analyzing different types of exosomal miRNAs has the potential applications in cancer diagnosis and stage monitoring.

An updated review on the development of a nanomaterial-based field-effect transistor-type biosensors to detect exosomes for cancer diagnosis

Cancer, a life-threatening genetic disease caused by abnormalities in normal cell growth regulatory functions, poses a significant challenge that current medical technologies cannot fully overcome. The current desired breakthrough is to diagnose cancer as early as possible and increase survival rates through treatments tailored to the prognosis and appropriate follow-up. From a perspective that reflects this contemporary paradigm of cancer diagnostics, exosomes are emerging as promising biomarkers. Exosomes, serving as mobile biological information repositories of cancer cells, have been known to create a microtumor environment in surrounding cells, and significant insight into the clinical significance of cancer diagnosis targeting them has been reported. Therefore, there are growing interests in constructing a system that enables continuous screening with a focus on patient-friendly and flexible diagnosis, aiming to improve cancer screening rates through exosome detection. This review focuses on a proposed exosome-embedded biological information-detecting platform employing a field-effect transistor (FET)-based biosensor that leverages portability, cost-effectiveness, and rapidity to minimize the stages of sacrifice attributable to cancer. The FET-applied biosensing technique, stemming from variations in an electric field, is considered an early detection system, offering high sensitivity and a prompt response frequency for the qualitative and quantitative analysis of biomolecules. Hence, an in-depth discussion was conducted on the understanding of various exosome-based cancer biomarkers and the clinical significance of recent studies on FET-based biosensors applying them.

Exosomal non-coding RNAs (ncRNAs) as potential biomarkers in tumor early diagnosis

Exosomes, extracellular vesicles carrying a cargo rich in various non-coding RNAs (ncRNAs), have emerged as crucial mediators of intercellular communication. Their stability, abundance, and specificity make exosomal ncRNAs promising candidates for biomarker discovery. The discovery of exosomal ncRNAs has unveiled a novel avenue for the exploration of biomarkers in tumor early diagnosis. This review consolidates current knowledge on the role of exosomal ncRNAs as potential biomarkers in the early detection of various tumors. We provide an overview of recent studies demonstrating the diagnostic potential of exosomal ncRNAs across multiple cancer types, highlighting their sensitivity, specificity, and feasibility for early detection. This review underscores the potential of exosomal ncRNAs as non-invasive biomarkers for early tumor diagnosis, paving the way for improved clinical outcomes through timely intervention and personalized management strategies.

Graphene Oxide Nanoparticles and Organoids: A Prospective Advanced Model for Pancreatic Cancer Research

Pancreatic cancer, notorious for its grim 10% five-year survival rate, poses significant clinical challenges, largely due to late-stage diagnosis and limited therapeutic options. This review delves into the generation of organoids, including those derived from resected tissues, biopsies, pluripotent stem cells, and adult stem cells, as well as the advancements in 3D printing. It explores the complexities of the tumor microenvironment, emphasizing culture media, the integration of non-neoplastic cells, and angiogenesis. Additionally, the review examines the multifaceted properties of graphene oxide (GO), such as its mechanical, thermal, electrical, chemical, and optical attributes, and their implications in cancer diagnostics and therapeutics. GO's unique properties facilitate its interaction with tumors, allowing targeted drug delivery and enhanced imaging for early detection and treatment. The integration of GO with 3D cultured organoid systems, particularly in pancreatic cancer research, is critically analyzed, highlighting current limitations and future potential. This innovative approach has the promise to transform personalized medicine, improve drug screening efficiency, and aid biomarker discovery in this aggressive disease. Through this review, we offer a balanced perspective on the advancements and future prospects in pancreatic cancer research, harnessing the potential of organoids and GO.