Lung cancer remains the leading cause of cancer-related deaths worldwide, mainly due to challenges in early detection that often result in poor patient outcomes. In this study, we developed a magnetic biosensing platform based on the coupling of CHA and SERS technologies for one-step detection of lung cancer-related circRNAs. Our approach capitalizes on forming “hot spots” between core–shell SERS nanoprobes and magnetic nanoparticles with precisely defined functionalities, generating a robust Raman signal. This signal is further amplified through magnetic enrichment and calibrated with an internal standard molecule, achieving a remarkably sensitive detection limit of 5.5 aM. Notably, our circRNA detection method significantly surpasses conventional tumor markers’ sensitivity. Validation using human serum samples demonstrated considerably higher circRNA levels in lung cancer patients than healthy controls. Moreover, the core–satellite structured magnetic SERS platform successfully distinguished unique circRNA concentration profiles across early-stage (IA and IB) lung cancers and their subtypes (IA1, IA2, IA3). Collectively, these results underscore the potential of our magnetic SERS platform as a liquid biopsy-based prognostic tool, enhancing early screening sensitivity and thereby facilitating more accurate diagnosis and improved patient stratification.
Ke Jia,Yawei Wang,Lixia Jiang,Mi Lai,Wenlan Liu,Liping Wang,Huihui Liu,Xiaohua Cao,Yuze Li,Zongxiu Nie
Lung cancer ranks among the cancers with the highest global incidence rates and mortality. Swift and extensive screening is crucial for the early-stage diagnosis of lung cancer. Laser desorption/ionization mass spectrometry (LDI-MS) possesses clear advantages over traditional analytical methods for large-scale analysis due to its unique features, such as simple sample processing, rapid speed, and high-throughput performance. As n-type semiconductors, titanate-based perovskite materials can generate charge carriers under ultraviolet light irradiation, providing the capability for use as an LDI-MS substrate. In this study, we employ Rh-doped SrTiO3 (STO/Rh)-assisted LDI-MS combined with machine learning to establish a method for urine-based lung cancer screening. We directly analyzed urine metabolites from lung cancer patients (LCs), pneumonia patients (PNs), and healthy controls (HCs) without employing any pretreatment. Through the integration of machine learning, LCs are successfully distinguished from HCs and PNs, achieving impressive area under the curve (AUC) values of 0.940 for LCs vs HCs and 0.864 for LCs vs PNs. Furthermore, we identified 10 metabolites with significantly altered levels in LCs, leading to the discovery of related pathways through metabolic enrichment analysis. These results suggest the potential of this method for rapidly distinguishing LCs in clinical applications and promoting precision medicine.
Yeru Liu,Sisi Si,Shengyi Dong,Bozhi Ji,Huimin Li,Song Liu
In this work, an ultrasensitive and low-cost electrochemical immunosensor has been constructed for ProGRP detection. The prepared three-dimensional reduced graphene oxide-gold nanoparticles (3D-rGO@Au) composite as substrate materials were applied for electrode modification, which can enhance electrical conductivity and enlarge the effective surface area for immobilizing capture antibody. Detection antibody-coated non-conductive SiO 2 nanospheres were used for specifically recognize ProGRP and form a sandwich structure. The electrochemical response signal of the sandwich-type immunosensor was based on the electron transferability between the electrode and [Fe(CN) 6 ] 3−/4− . 3D-rGO@Au can significantly increase the initial current, while SiO 2 can greatly reduce the response current. The combined effects of these nanomaterials can thus effectively enhance the sensitivity. Under optimal conditions, the constructed immunosensor exhibited a wide linear range (1 fg/mL to 10 ng/mL) with a low limit of detection (0.14 fg/mL). Moreover, the immunosensor exhibited superior stability, good reproducibility, favorable selectivity, and high sensitivity. Meanwhile, the concentration of ProGRP in human serum samples was measured with satisfactory results. This device is promising in the early screening of lung cancer, which can be applied as an over-the-counter test at home or in the community.
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