Results 211 to 220 of about 748,361 (308)
From Leiomyoma to Smooth Muscle Tumor of Uncertain Malignant Potential: A Rare Recurrent Right Retroperitoneal Mass in a Young Male. [PDF]
Preetham Y +4 more
europepmc +1 more source
LDHA‐driven lactate production in mesenchymal glioma stem cells promotes p300‐dependent H3K18 lactylation, activates USP30 transcription, and stabilizes MBOAT2 to remodel phosphatidylethanolamines toward ferroptosis‐resistant PE‐MUFA species. Disrupting this metabolic–epigenetic–lipid circuit enhances ferroptosis and sensitizes glioblastoma to ...
Zong Miao +13 more
wiley +1 more source
A Case Report of Pleomorphic Adenoma of the Lower Lip: An Uncommon Location and a Diagnostic Pitfall. [PDF]
Parcharidis E +4 more
europepmc +1 more source
This work identifies acetylation‐dependent SDHA homeostasis as a determinant of tumor‐specific metabolic vulnerability. Guided by this mechanism, a modification‐selective inhibitor, ZPI‐3, selectively targets non‐acetylated SDHA, achieving tumor‐restricted SDH inhibition and effective bladder cancer control. Differential responses in clinical specimens
Kaikai Xu +9 more
wiley +1 more source
Cytological Identification of a Rhabdoid Variant of Pancreatic Neuroendocrine Neoplasm. [PDF]
Okuda M +4 more
europepmc +1 more source
IGF2BP1 promotes gemcitabine resistance in pancreatic cancer by stabilizing m6A‐modified FTH1 transcripts and protecting them in stress granules, thereby suppressing ferroptosis. Pharmacological inhibition of IGF2BP1 disrupts this protective pathway, restores ferroptotic sensitivity, and enhances gemcitabine efficacy in resistant tumors.
Ying‐Qin Zhu +10 more
wiley +1 more source
Pulmonary Neoplasms with Pleuropulmonary Blastoma-like Features in Two Young Labrador Retrievers: Clinicopathological, Molecular and Comparative Characterisation. [PDF]
van der Weyden L +12 more
europepmc +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source

