The GGH/HuR Complex Binds and Stabilizes mRNAs to Maintain Tumor Cell Cycle and DNA Replication
Despite its canonical role in inhibiting DNA synthesis, GGH promotes tumor growth as a novel RNA‐binding protein. GGH binds GC‐rich 5′UTRs (e.g., CDC6/CCND1), recruits HuR to form a ternary complex that stabilizes mRNA via circular conformation, fueling DNA replication and the cell cycle. Targeting this axis suppresses NSCLC progression.
Yu Li +9 more
wiley +1 more source
Array of Testing Characterizes Prenatal Diagnosis of Mosaic Tetrasomy 9p24q22.3 Associated With an Unusually Mild Phenotype and Favourable Outcome. [PDF]
Lee C, Casey E, Amor DJ.
europepmc +1 more source
Advanced Microfluidics for Single Cell‐Based Cancer Research
Cutting‐edge microfluidic platforms are transforming single‐cell cancer research. This review highlights advanced technologies, from droplet microfluidics to tumour‐chips, that enable functional and spatial single‐cell analyses. By integrating biosensing, immune components, and patient‐derived materials, these systems offer new insights into tumour ...
Adriana Carneiro +10 more
wiley +1 more source
Transcriptomic comparison of early onset preeclampsia and placenta accreta identifies inverse trophoblast and decidua functions at the maternal-fetal interface. [PDF]
Yin O +9 more
europepmc +1 more source
EGR1 Target Genes in Prostate Carcinoma Cells Identified by Microarray Analysis [PDF]
John Svaren +5 more
openalex +1 more source
Cancer Immunotherapy via Disruption of Integrin αvβ3 and CD47 Costabilization on Cancer Cell Surface
This study identifies a cancer‐specific interaction between CD47 and integrin αvβ3 that facilitates immune evasion. A rationally designed peptide, PSFL‐NK13, disrupts this axis, enhancing macrophage‐mediated phagocytosis and suppressing tumor growth without inducing anemia.
Peng‐Cheng Yu +12 more
wiley +1 more source
Correlation and Overlap Between Claudin 18.2 and FGFR2b Overexpression: A Tissue Microarray Study With 1,538 Gastric Carcinomas. [PDF]
Ahn S, Hwang I, Kim KM.
europepmc +1 more source
Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang +32 more
wiley +1 more source

