Results 191 to 200 of about 1,083,966 (327)
Surfaces with Isothermal Representation of Their Lines of Curvature and Their Transformations [PDF]
Luther Pfahler Eisenhart
openalex +1 more source
Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien+7 more
wiley +1 more source
On the Sectional Curvature of Holomorphic Curvature Operators [PDF]
Stanley M. Zoltek, Ignacio Guerrero
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Pancreatic ductal adenocarcinoma patient‐derived xenografts (PDAC‐PDXs) engrafted orthotopically in the pancreas of immunodeficient mice retain the main genetic and histopathological characteristics of the original human tumors. A 294 stroma gene signature differentiates between PDAC‐PDXs that are responsive to gemcitabine plus nab‐paclitaxel versus ...
Alessia Anastasia+13 more
wiley +1 more source
Electrical and Curvature Responses of the Avena Coleoptile to Unilateral Illumination [PDF]
G. E. Backus, A. R. Schrank
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Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park+6 more
wiley +1 more source
A Contribution to the Etiology of Lateral Curvature of the Spine [PDF]
Max Böhm
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Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
S. Osher, J. Sethian
semanticscholar +1 more source
Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song+13 more
wiley +1 more source