Novel Cross-Cancer Hub Genes in Doxorubicin Resistance Identified by Transcriptional Mapping. [PDF]
Moralev AD +3 more
europepmc +1 more source
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang +12 more
wiley +1 more source
Discovery of circadian rhythm-related hub genes in acute myocardial infarction: A two-sample Mendelian randomization study. [PDF]
Peng S, Leng Y, Chen MH.
europepmc +1 more source
In wild‐type cells, FIPV infection recruits CLTC to nsp3, facilitates DMV biogenesis and block autophagic flux to promote viral replication. CLTC knockout impairs autophagosome nucleation by reducing Beclin1–ATG14 complex expression. This disrupts the formation of autophagic precursor membranes, thereby preventing their hijacking by nsp3 for DMV ...
Juan Xu +9 more
wiley +1 more source
Analysis of hub genes temporal dynamics in cardiac ischemia/reperfusion injury: a bioinformatics and experimental study. [PDF]
Zuo Y, Yang SY, Qian XK, Liu K.
europepmc +1 more source
This study identifies FXYD1 as an epigenetically silenced tumor suppressor in breast cancer. DNA methylation turns off the gene FXYD1 in breast cancer, and low levels predict worse outcomes. Restoring FXYD1 limits breast cancer cells proliferation and metastasis. In the nucleus, FXYD1 recruits the E3 ligase MAEA to K63‐ubiquitinate DDX5 for proteasomal
Ping Wen +11 more
wiley +1 more source
Study and validation on mitochondrial and immune-related hub genes in gestational diabetes mellitus based on bioinformatics. [PDF]
Zhao X, Ma Y, Sun J, Zhang X.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
PPI-based screening of hub genes related to sepsis migration/pyroptosis and immune infiltration analysis. [PDF]
Ma X, Wang J, Han K, Lu J.
europepmc +1 more source
Integrated multi-omics analysis reveals key hub genes and mechanisms in calcific aortic stenosis. [PDF]
Wang FX +10 more
europepmc +1 more source

