Results 201 to 210 of about 182,703 (306)

Argon plasma coagulation therapy after submucosal injection of normal saline solution for local recurrence of large nonampullary duodenal neoplasm

open access: yesVideoGIE, 2016
Tomoyuki Hayashi, MD   +5 more
openaire   +3 more sources

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

open access: yesAdvanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee   +9 more
wiley   +1 more source

Placental Site Trophoblastic Tumor Acquires Immune Functions by Incorporating Host Maternal Genes

open access: yesAdvanced Science, EarlyView.
PSTT cells, through cell fusion with B cells, incorporate abundant non‐inherited maternal genes that are detectable by DNIMA. These hybrid cells acquire immunotherapy‐resistant genetic changes and increase the expression of B cell‐derived immune‐related molecules such as Ig, HLA, LILRB, SIGLEC10, and so on, creating an immunotolerant environment around
Kyosuke Kagami   +15 more
wiley   +1 more source

A Biomimetic Dual‐Targeting Nano‐APA‐Editor Reprograms the 3'UTR Landscape for Tongue Squamous Cell Carcinoma Therapy

open access: yesAdvanced Science, EarlyView.
This study unveils a pathogenic axis in oral cancer where NUDT21 suppresses a tumor suppressor network, prominently PTEN, via 3'UTR lengthening. To exploit this transcriptomic vulnerability, we developed a biomimetic Nano‐APA‐editor. By delivering CRISPR/Cas9, we reprogrammed the global 3'UTR landscape, restoring multi‐target tumor suppression and ...
Yiran Ao   +5 more
wiley   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

open access: yesAdvanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

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