ReviewDiscover oncology2025
Research progress on the development and progression of long non-coding RNA in upper gastrointestinal adenocarcinoma.
Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
In recent years, the incidence of the upper gastrointestinal adenocarcinoma has risen significantly, but its early symptoms are insidious and its diagnosis lags behind, leading to poor prognosis of patients. Therefore, the exploration of novel biomarkers and precise therapeutic targets has become an urgent clinical problem. lncRNAs, as key molecules in tumour regulation, are involved in the regulation of malignant processes, such as proliferation, metastasis, and apoptosis resistance of tumour cells through epigenetic modification, activation or inhibition of signaling pathways, and other mechanisms. Therefore, lncRNAs can be used as potential biomarkers and therapeutic targets for cancer diagnosis and treatment. The aim of this paper is to systematically study the functional roles of lncRNAs in upper gastrointestinal adenocarcinogenesis and development, to summarize the known effects of lncRNAs on upper gastrointestinal adenocarcinoma, to explore the effects of differential expression of lncRNAs on tumor progression, and to investigate the related signal transduction pathways. Also, the potential of lncRNAs as biomarkers and early diagnostic therapeutic targets will be initially explored. These studies will provide strong theoretical support for the clinical treatment of adenocarcinoma of the upper gastrointestinal tract.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.