Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
ZFAS1 is a lncRNA promoting cell proliferation and migration, exhibiting high expression in various cancers. It is conserved, widely expressed, and produces multiple splice variants with unclear roles. We identified several splice variants in hepatocyte models, and found that inhibiting or suppressing regulators of the unfolded protein response (PERK ...
Sébastien Soubeyrand +2 more
wiley +1 more source
Super-enhancer-driven ITGB2-AS1 promotes ovarian cancer progression by binding to IQGAP1. [PDF]
Wang Y, Li P.
europepmc +1 more source
A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti +3 more
wiley +1 more source
Targeting Lactate and Lactylation in Cancer Metabolism and Immunotherapy
Lactate, once deemed a metabolic waste, emerges as a central regulator of cancer progression. This review elucidates how lactate and its epigenetic derivative, protein lactylation, orchestrate tumor metabolism, immune suppression, and therapeutic resistance.
Jiajing Gong +5 more
wiley +1 more source
RNA-protein complexes as key regulators of plant secondary metabolism: Biophysical interactions and functional significance. [PDF]
Ugwu OP +4 more
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
A novel antisense lncRNA, LPCRL, functions as a molecular scaffold for the USP15/MIB1 complex to promote primary cisplatin resistance and tumor progression in lung squamous cell carcinoma. [PDF]
Luo P +10 more
europepmc +1 more source
Role of non-coding RNAs in O<sup>6</sup>-methylguanine-DNA methyltransferase-positive glioblastoma (Review). [PDF]
Guo Y, Guo J, Xiao W, Lu Y.
europepmc +1 more source
Inhibited Differentiation and Growth of Myocyte Associated With Sarcopenia: The Key Role of the lncRNA A430093F15Rik/microRNA-337-3p/Fam168a Pathway. [PDF]
Fang Q, Huang J, Huang D, Jia Z.
europepmc +1 more source

