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An integrated multimodal model for early prediction of high-risk recurrence phenotype indicative of poor disease-free survival in stage IA NSCLC: a multicenter study
Abstract Objectives: To develop and validate a preoperative multimodal model that predicts a high-risk recurrence phenotype indicative of poor disease-free survival (DFS), in order to stratify patients with stage IA non-small cell lung cancer (NSCLC). Materials and methods: This retrospective multicenter study enrolled 342 stage IA NSCLC patients from three independent centers.
Self‐Propelled Janus Micromotors with Cascade Microenvironments‐Responsiveness for Hydrogen‐Actuated Whole‐Stage Symptomatic Therapy of Helicobacter Pylori‐Associated Gastritis
Conflict of Interest The authors declare no conflict of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description adfm73286-sup-0001-SuppMat.docx13.1 MB Supporting Information adfm73286-sup-0002-VideoS1.mp41.1 MB Supplemental Video 1 adfm73286-sup-0003-VideoS2.mp4864.5 KB Supplemental Video 2 References 1, Nat. Rev. Microbiol. 2023, 21, 628. 2, , Nat. Rev.
Deciphering the let-7c-5p/RRM2 axis in lung adenocarcinoma: expression, prognosis, and immune landscape implications
Introduction Lung cancer, a formidable adversary in the global health landscape, is characterized by its escalating incidence and mortality rates, posing a profound threat to both human health and economic stability (1, 2). Non-small cell lung cancer (NSCLC), with lung adenocarcinoma (LUAD) as its predominant subtype, constitutes approximately 85% of all lung cancer cases (3–5).
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