Metachronous triple primary malignancies of duodenum, skin, and appendix in the absence of common hereditary syndromes: a case report. [PDF]
Qian DM +4 more
europepmc +1 more source
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Spectrum of Movement Disorders in Hematological Malignancies: A Comprehensive Systematic Review of Clinical Phenotypes, Mechanisms, and Outcomes. [PDF]
Garg RK +6 more
europepmc +1 more source
Matrix metalloproteinase‐9 (MMP9) drives ovarian cancer progression. Using MMP9‐null cells (M9‐KO) created from ovarian cancer cells, we found MMP9 loss did not block Epidermal Growth Factor (EGF)‐driven E‐cadherin dissolution or EMT but delayed and reduced EGF‐driven membrane protrusions. Transient MMP9 re‐expression drove membrane protrusion.
Claire Strauel +8 more
wiley +1 more source
Beyond the Globe: Molecular Diagnostics of Optic Nerve, Orbital, and Adnexal Neoplasms. [PDF]
Dankberg A, Yu G, Rodriguez FJ.
europepmc +1 more source
MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
Synchronous mucoepidermoid carcinoma of sublingual gland and pleomorphic adenoma of palatal gland-a case report and literature review. [PDF]
Kang K, Wu Y, Liu W, Liu K, Sha T.
europepmc +1 more source
Immunodeficiency Diseases and Tumor Immunobiology [PDF]
Abramoff, Peter A., Duquesnoy, Rene J.
core +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source

