Publications by authors named "Yujiao Xie"

Background: Sentinel lymph node biopsy (SLNB), a standard surgical procedure for clinically axillary-negative breast cancer patients, significantly reduces complications compared with axillary lymph node dissection, but it is still a relatively invasive procedure with some complications, affecting patient's quality of life. To identify patients who might benefit from avoiding SLNB, this study aimed to develop a nomogram for predicting sentinel lymph node metastasis (SLNM) in breast cancer patients using the SEER database.

Methods: We identified breast cancer patients whose 1-5 lymph nodes were examined in the SEER database as those who underwent SLNB.

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Early diagnosis and precise identification of breast cancer subtypes are vital. However, current detection methods are often hindered by high costs and complexity. This study aims to develop an efficient and noninvasive method to realize efficient breast cancer detection.

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As a rare subtype of avian influenza virus, H16 viruses are predominant in gulls but rarely found in domestic birds. The low prevalence of H16 viruses has limited our understanding of their epidemiology and evolutionary dynamics. In this study, we isolated three novel H16N3 viruses from migratory gulls in East Asian-Australasian Flyway in eastern China in 2023, which are significantly different from previously identified isolates.

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The emergence and circulation of duck reovirus have caused severe threats to domestic waterfowl production because of the lethal infections they cause in ducks and geese. However, the evolution of circulating duck reoviruses and their replication and pathogenicity in domestic birds have not been fully investigated. In this study, we identified and isolated six duck reoviruses from clinical samples of sick or deceased farmed ducks and geese and sequenced their full genomes.

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With the advancement of research on life systems and disease mechanisms, the precision of analysis tends to be at a single molecule or single gene level. The surface-enhanced Raman scattering (SERS) method is highly anticipated because of its sensitive detection ability down to a single molecule level. The SERS-based microfluidic platforms retain both advantages of SERS and microfluidics, working in a complementary way.

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The critical need for rapid cancer diagnosis and related illnesses is growing alongside the current healthcare challenges, unfavorable prognosis, and constraints in diagnostic timing. As a result, emphasis on surface-enhanced Raman spectroscopy (SERS) diagnostic methods, including both label-free and labelled approaches, holds significant promise in fields such as analytical chemistry, biomedical science, and physics, due to the user-friendly nature of SERS. Over time, the SERS detection sensitivity and specificity with nanostructured materials for SERS applications (NMs-SERS) in different media have been remarkable.

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Surface-enhanced Raman spectroscopy (SERS) has become a revolutionary technique in the biomedical field, providing unparalleled sensitivity for the detection and characterization of biological samples. In this review, recent SERS innovations are comprehensively discussed, including advanced substrate materials, different SERS detection strategies, and multimodal approaches that combine SERS with other biotechnologies. Among them, the role of SERS in the accurate diagnosis of tumors is highlighted, which has promoted accurate molecular analysis and real-time monitoring of treatment effects.

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Detecting circulating tumor cells (CTCs) from blood has become a promising approach for cancer diagnosis. Surface-enhanced Raman Spectroscopy (SERS) has rapidly developed as a significant detection technology for CTCs, offering high sensitivity and selectivity. Encoded SERS bioprobes have gained attention due to their excellent specificity and ability to identify tumor cells using Raman signals.

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Article Synopsis
  • - Efficient diagnosis of cancer cells is challenged by similarities in size with white blood cells, but a new system using surface-enhanced Raman spectroscopy (SERS) bioprobes and microfluidic chips has been developed to improve identification.
  • - A flower-like CuO@Ag composite was created with high SERS performance, showing stable spectral readings and the capability to detect trace substances, enhanced by its unique properties discovered through advanced simulations and microscopy.
  • - By using a spiral inertial microfluidic chip to separate cancer cells from blood, and employing machine learning techniques, the system accurately differentiates between cancer cells and white blood cells, proving to be a significant step forward in cancer diagnosis.
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Article Synopsis
  • * Phylogenetic analysis indicates that H11 viruses have complex reassortment patterns and do not have mutations that would allow them to infect mammals, as they primarily bind to avian-type receptors.
  • * Research shows that certain H11 viruses replicate more effectively in ducks than in chickens, with implications for poultry health and the need for ongoing surveillance at the intersection of wild and domestic birds.
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Background: Poland syndrome is an occasional congenital malformation characterized by unilateral chest wall dysplasia and ipsilateral upper limb abnormalities. An association between Poland syndrome and breast cancer has been reported, but no clear etiological link between Poland syndrome and breast tumors has been established. We report a case of Poland syndrome combined with breast cancer and analyzed the clinical features of breast cancer in this case and its influence on the choice of treatment for breast cancer.

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Chemodynamic therapy (CDT) and photothermal therapy (PTT) have gained popularity due to their non-invasive characteristics and satisfying therapeutic expectations. A Cu-based nanomaterial serving as a Fenton-like nanocatalyst for CDT together with a photothermal agent for simultaneous PTT seems to be a powerful strategy. In this work, the morphological effect of CuSe nanoparticles on CDT and PTT was systematically investigated.

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Non-specific adsorption of bioprobes based on surface-enhanced Raman spectroscopy (SERS) technology inevitably endows white blood cells (WBC) in the peripheral blood with Raman signals, which greatly interfere the identification accuracy of circulating tumor cells (CTCs). In this study, an innovative strategy was proposed to effectively identify CTCs by using SERS technology assisted by a receiver operating characteristic (ROC) curve. Firstly, a magnetic FeO-Au complex SERS bioprobe was developed, which could effectively capture the triple negative breast cancer (TNBC) cells and endow the tumor cells with distinct SERS signals.

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Supramolecular self-assembly has gained increasing attention to construct multicomponent drug delivery systems for cancer diagnosis and therapy. Despite that these self-assembled nanosystems present surprising properties beyond that of each subcomponent, the spontaneous nature of co-self-assembly causes significant difficulties in control of the synthesis process and consequently leads to unsatisfactory influences in downstream applications. Hence, we utlized an dynamic covalent reaction based on thiol-disulfide exchange to slowly produce disulfide macrocycles, which subsequently triggered the co-self-assembly of an anticancer drug (doxorubicin, DOX) and a magnetic resonance imaging (MRI) contrast agent of ultrasmall iron oxide nanoparticles (IO NPs).

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Microfluidic-based lab-on-a-chip technology is a multidisciplinary approach, which has evolved rapidly in the past decade and remains a hot research topic as a promising microanalysis platform for a plethora of biomedical applications. Microfluidic chips have been successfully applied in cancer diagnosis and monitoring, given that they can lead to the effective separation and analysis of cancer-derived substances such as extracellular vesicles (EVs), circulating tumour cells (CTCs) and circulating DNA (ctDNA), proteins and other metabolites. In particular, EVs and CTCs are two outstanding objects for cancer liquid biopsy, which share similar membrane structures but possess different sizes.

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The continued evolution and emergence of novel influenza viruses in wild and domestic animals poses an increasing public health risk. Two human cases of H3N8 avian influenza virus infection in China in 2022 have caused public concern regarding the risk of transmission between birds and humans. However, the prevalence of H3N8 avian influenza viruses in their natural reservoirs and their biological characteristics are largely unknown.

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Liquid biopsy has remarkably facilitated clinical diagnosis and surveillance of cancer via employing a non-invasive way to detect cancer-derived components, such as circulating tumor DNA and circulating tumor cells from biological fluid samples. The cancer-derived exosomes, which are nano-sized vesicles secreted by cancer cells have been investigated in liquid biopsy as their important roles in intracellular communication and disease development have been revealed. Given the challenges posed by the complicated humoral microenvironment, which contains a variety of different cells and macromolecular substances in addition to the exosomes, it has attracted a large amount of attention to effectively isolate exosomes from collected samples.

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Circulating tumor cell (CTC) detection as a burgeoning detection strategy can identify the tumor lesion in the early stage, and facilitates the understanding of tumorigenesis, tumor progression, metastasis, and drug-resistance. Herein, we present a novel strategy for in situ isolating and directly detecting CTCs from peripheral blood at single-cell resolution using black TiO (B-TiO)-based Surface-Enhanced Raman Scattering (SERS) bio-probe on a microfilter. CTCs were isolated from blood by microfilter based on the size and deformation difference.

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The structural properties such as high specific surface area, good electrical conductivity, rich-defects of the catalyst surface guarantee outstanding catalytic performance and durability of oxygen reduction reaction (ORR) electrocatalysts. It is still a challenging task to construct ORR catalysts with excellent performance. Herein, we have reported column-like MoS/rGO with defect-rich ultrathin nanosheets prepared by a convenient solvothermal method.

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Circulating tumor cells (CTCs) can be the seeds of tumor metastasis and are closely linked to cancer-related death. Fast and effective detection of CTCs is important for the early diagnosis of cancer and the evaluation of micrometastasis. However, the extreme rarity and heterogeneity of CTCs in peripheral blood make sensitive detection of CTCs a big challenge.

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Circulating tumor cells (CTCs) usually shed from primary and metastatic tumors serve as an important tumor marker, and easily cause fatal distant metastasis in cancer patients. Accurately and effectively detecting CTCs in a peripheral blood sample is of great significance in early tumor diagnosis, efficacy evaluation, and postoperative condition monitoring. In this work, a TiO@Ag nanostructure is structured as a SERS substrate, rhodamine 6G (R6G) is used as a Raman signal molecule, the reduced bovine serum protein (rBSA) acts as a protective agent, and folic acid (FA) acts as a target molecule to specifically recognize cancer cells.

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Background: Exosomal long non-coding RNAs (lncRNAs) have been recognised as promising stable biomarkers in cancers. The aim of this study was to identify an exosomal lncRNA panel for diagnosis and prognosis of esophageal squamous cell carcinoma (ESCC).

Materials And Methods: Exosomes were isolated from serum by ExoQuick Solution.

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Background: Local relapses and metastases are primary causes of death in lung cancer patients. In the present study, we aimed to develop a prognostic signature based on metastasis-associated lncRNAs in patients with lung adenocarcinoma (LUAD).

Methods: Firstly, the potential metastasis-associated lncRNAs were identified by analyzing high-throughput data from The Cancer Genome Atlas (TCGA), and based on which, an lncRNA signature was constructed for prediction of relapse in LUAD patients using Cox proportional hazards regression analysis.

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