Results 111 to 120 of about 220,392 (312)
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu +8 more
wiley +1 more source
IGF2BP1‐mediated m6A stabilization sustains SMC1A expression, enabling cohesin‐associated chromatin regulation of Nestin in hepatocellular carcinoma. This work reveals an epitranscriptomic‐chromatin‐cytoskeletal regulatory axis linked to malignant phenotypes and identifies SMC1A as a biologically relevant vulnerability in HCC.
Zhenxiang Peng +7 more
wiley +1 more source
Invasive Micropapillary Carcinoma in Axillary Ectopic Breast and Synchronous Ductal Carcinoma In Situ in the Contralateral Breast [PDF]
Seung Won Oh +4 more
openalex +1 more source
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source
The loss of expression of the tumor suppressor NES1 gene in biopsy-proven ductal carcinoma in situ predicts for invasive carcinoma at definitive surgery [PDF]
Michael J. Yunes +4 more
openalex +1 more source
A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression [PDF]
Stefan J. Hutten +27 more
openalex +1 more source
A new generation of high‐precision fluorescent probes based on the lysosomal characteristics in tumor metabolic reprogramming and overexpressed tumor markers. The probe (CN‐D‐GGT) selectively label cancer cells in co‐culture systems and distinguish tumor lesions from inflamedand normal tissues in vivo, enabling precise tumor imaging.
Yang Shen +6 more
wiley +1 more source

