Results 261 to 270 of about 1,304,981 (339)

Single‐Cell and Spatial Transcriptomic Profiling of Penile Squamous Cell Carcinoma Reveals Dynamics of Tumor Differentiation and Immune Microenvironment

open access: yesAdvanced Science, EarlyView.
This study uses single‐nucleus RNA sequencing and spatial transcriptomics to investigate penile squamous cell carcinoma (PSCC). It reveals that PSCC tumor cells mimic normal penile epithelium differentiation, independent of HPV status. The Tum_1 subtype shows basal stem‐like characteristics and promotes invasiveness. HPV‐positive basal stem‐like tumors
Hongjian Song   +37 more
wiley   +1 more source

Inhibition of Phosphodiesterase 10A by MP‐10 Rescues Behavioral Deficits and Normalizes Microglial Morphology and Synaptic Pruning in A Mouse Model of FOXP1 Syndrome

open access: yesAdvanced Science, EarlyView.
We demonstrate that Foxp1± mice, modeling FOXP1 haploinsufficiency, exhibit behavioral deficits, striatal neuroinflammatory changes including altered microglial complexity and synaptic pruning, and markedly reduced Pde10a expression. Pde10a inhibition starting immediately after birth restores Foxp1± behavior, microglial morphology, and pruning ...
Henning Fröhlich   +8 more
wiley   +1 more source

Plasma DNMT1 Activity for Assessing Tumor Burden and Predicting Neoadjuvant Therapy Response in Breast Cancer

open access: yesAdvanced Science, EarlyView.
In this work, a detection method is presented for the activity of plasma DNA methyltransferase 1 (DNMT1), namely DNMT1 Identification by Variable Activity (DIVA). DIVA can detect plasma DNMT1 at levels as low as 10−7 U mL−1, also it successfully evaluated tumor burden and predicted the neoadjuvant therapy responses of breast cancer patients.
Yingran Wang   +10 more
wiley   +1 more source

Response to commentary on "pembrolizumab in gestational trophoblastic neoplasia: systematic review and meta-analysis with sub-group analysis of potential prognostic factors". [PDF]

open access: yesClinics (Sao Paulo)
Barcellos M   +9 more
europepmc   +1 more source

MALMPS: A Machine Learning‐Based Metabolic Gene Prognostic Signature for Stratifying Clinical Outcomes and Molecular Heterogeneity in Stage II/III Colorectal Cancer

open access: yesAdvanced Science, EarlyView.
Chen et al. identified a metabolic gene prognostic signature with machine‐learning framework and assessed the prognostic value in independent CRC cohorts. The metabolic signature subtypes are characterized by specific metabolic and proteomic characteristics, and associated with distinct molecular pathway and therapeutic potential.
Hao Chen   +12 more
wiley   +1 more source

Testosterone Delays Bone Microstructural Destruction via Osteoblast‐Androgen Receptor‐Mediated Upregulation of Tenascin‐C

open access: yesAdvanced Science, EarlyView.
This study reveals that Testosterone–Androgen Receptor signaling delays elderly male bone destruction by upregulation of the osteoblastic extracellular tenascin‐C (TNC). The osteoprotective effect of fibrinogen C‐terminus of TNC is demonstrated in male osteoporotic mice model that osteoblast‐specific Ar‐knockout, potentially via inhibition of ...
Yong Xie   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy