Aptamers have attracted exceptional attention in medical field due to their intrinsic properties equivalent to antibodies such as high target affinity, low immunogenicity and toxicity, cost-effectiveness and ease of synthesis and modification, and good stability under extreme conditions, thereby providing new avenues for basic research and clinical application. Protein tyrosine kinase 7 (PTK7) has been proved to be closely linked with the progression of many types of cancer. The aberrant expression of PTK7 has positioned it as a potential theranostic biomarker for multiple cancers. Aptamer sgc8 was initially identified for its high-affinity binding to PTK7 on the T-cell acute lymphoblastic leukemia cell line (CCRF-CEM) through cell-SELEX (systematic evolution of ligands by exponential enrichment) and subsequently has demonstrated the ability to effectively recognize many types of cancer cells that express PTK7 oncogenic target. The easily modifiable nature of sgc8 facilitates its conjugation with functional agents and drugs. This identification mode and modification approach of aptamers against cancer cells provides a potential strategy for cancer diagnosis and treatment. In this review, we discuss the potential of sgc8 aptamers in early cancer diagnosis and targeted therapy, focusing specifically on their interaction with the oncogenic biomarker PTK7.
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http://dx.doi.org/10.1177/00368504251325385 | DOI Listing |
J Am Chem Soc
March 2025
Department of Pharmacology and Chemical Biology, Institute of Molecular Medicine, Collaborative Innovation Center for Clinical and Translational Science by Chinese Ministry of Education & Shanghai, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Raman-based theranostics has demonstrated great potential for sensitive real-time imaging and treatment. However, these advanced materials, primarily depending on the SERS technique, encounter clinical concerns regarding substrate biosafety. Herein, we molecularly engineered a substrate-free SICTERS small molecule, namely BTT-TPA (bis-thienyl-substituted benzotriazole selenadiazole derivative structures), possessing both ultrasensitive Raman signals and excellent photothermal effects based on self-stacking.
View Article and Find Full Text PDFClin Exp Rheumatol
March 2025
Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Objectives: The genetic underpinnings of RA remain partially elucidated, motivating our exploration of copy number variations (CNV) and rare variations in the pathogenesis of RA.
Methods: We conducted an integrated analysis of the genome-wide landscape of CNV and exome-wide rare variation associations with RA in the UK Biobank. To strengthen our findings, we corroborated the results by the differentially expressed genes identified from gene expression profiles of synovial tissue of RA patients and health controls.
J Epidemiol Glob Health
March 2025
Precision Medicine Research Center, Sichuan Provincial Key Laboratory of Precision Medicine and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Background: Older outpatients face a heightened risk of potentially inappropriate prescribing (PIP). However, there is a paucity of evidence evaluating PIP in older outpatients attending surgical outpatient departments in China using Chinese-specific criteria. This study aimed to assess the prevalence of PIP and identify associated factors within this population.
View Article and Find Full Text PDFJAMA Psychiatry
March 2025
Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Importance: Expectancy effects are significant confounding factors in psychiatric randomized clinical trials (RCTs), potentially affecting the interpretation of study results. This narrative review is the first, to our knowledge, to explore the relationship between expectancy effects, compromised blinding integrity, and the effects of active treatment/placebo in psychiatric RCTs. Additionally, we present statistical and experimental approaches that may help mitigate the confounding impact of expectancy effects.
View Article and Find Full Text PDFJAMA Netw Open
March 2025
Department of Epidemiology, University of North Carolina at Chapel Hill.
Importance: Numerous efforts have been made to include diverse populations in genetic studies, but American Indian populations are still severely underrepresented. Polygenic scores derived from genetic data have been proposed in clinical care, but how polygenic scores perform in American Indian individuals and whether they can predict disease risk in this population remains unknown.
Objective: To study the performance of polygenic scores for cardiometabolic risk factors of lipid traits and C-reactive protein in American Indian adults and to determine whether such scores are helpful in clinical prediction for cardiometabolic diseases.
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