Results 111 to 120 of about 300,691 (256)
Radiotherapy triggers LTβR N‐glycosylation, enhancing its overall protein stability and nuclear retention. This accumulation drives TRIM28‐mediated PCBP2 SUMOylation, suppressing pyroptosis and conferring gastric cancer radioresistance. Therapeutically, a targeted nanoplatform (cRGD‐Lipo@EMD) effectively disrupts this regulatory axis, offering a highly
Weijie Zang +8 more
wiley +1 more source
Fibrotic liver stiffness activates hepatic stellate cells through Piezo1‐dependent calcium influx and ER stress, promoting EV‐associated GMFG release. Delivered GMFG engages TNS4 in pancreatic cancer cells, triggering FAK/AKT signaling, adhesion, and fatty acid synthesis.
Biwen Zhu +11 more
wiley +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
Tumor‐derived GDF15 drives cancer cachexia and suppresses antitumor immunity. Here, de novo designed minibinders targeting the GDF15–GFRAL interface achieve picomolar affinity and potent pathway blockade. The minibinders alleviate cachexia, restore CD8+ T‐cell infiltration, enhance anti–PD‐1 responsiveness, and provide survival benefits across tumor ...
Haitao Wang +8 more
wiley +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
Glucose deprivation in the primary CNS lymphoma (PCNSL) tumor microenvironment drives SLC2A5 (encoding GLUT5)‐dependent fructose metabolism in tumor cells, while hypoxia induces HIF‐mediated SLC2A5 expression in tumor‐supportive macrophages, revealing SLC2A5‐driven fructose utilization as a shared and targetable metabolic vulnerability across malignant
Qiaoli Wu +13 more
wiley +1 more source
Clonal hematopoiesis in lung adenocarcinoma pathogenesis. [PDF]
Parisi T +8 more
europepmc +1 more source
A NIR‐II light‐activatable thermoelectric nanoreactor converts surface‐bound Cu2+ into bioactive Cu+ via directed electron flow. This spatiotemporally controlled reduction triggers potent cuproptosis and immunogenic cell death, eradicating primary tumors and, together with aPD‐1 therapy, suppressing metastases while establishing durable immune memory ...
Boyu Yuan +10 more
wiley +1 more source
Abstract Background A methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear. Aims This study aimed to assess the IME factors and evaluate their prognostic values. Methods and Results We assessed CD8+ tumor‐infiltrating lymphocyte (
Yukihiro Terada +16 more
wiley +1 more source

