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Hepatocellular carcinoma (HCC) is the most frequent and deadly type of liver cancer. While the underlying molecular mechanisms are poorly understood, it is documented that lncRNAs may play key roles. Many HCC-associated lncRNAs have been linked to HBV and HCV infection, mediating gene expression, cell growth, development, and death. Studying the regulatory mechanisms and biological functions of HCC-related lncRNAs will assist our understanding of HCC pathogenesis as well as its diagnosis and management. Here, we address the potential of dysregulated lncRNAs in HCC as diagnostic and therapeutic biomarkers, and we evaluate the oncogenic or tumor-suppressive properties of these lncRNAs.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716033 | PMC |
http://dx.doi.org/10.3389/fcell.2022.1051306 | DOI Listing |
Anim Reprod Sci
September 2025
Department of Biomedical & Clinical Sciences (BKV), BKH/Obstetrics & Gynecology, Faculty of Medicine and Health Sciences, Linköping University, Linköping SE-58185, Sweden.
Embryo transfer (ET) is a valuable reproductive technology in pigs, albeit its efficiency remains significantly lower than that of natural mating or artificial insemination (AI), owing to high embryonic death rates. Critical for embryo survival and pregnancy success is the placenta, which supports conceptus development through nutrient exchange, hormone production, and immune modulation. Alterations in placental development and function may therefore underlie the reduced efficiency of ET.
View Article and Find Full Text PDFJCO Glob Oncol
May 2025
Grupo Oncoclínicas, São Paulo, Brazil.
Head and neck squamous cell carcinoma (HNSCC) represents a significant public health burden in developing countries, where access to early diagnosis, comprehensive care, and research infrastructure is limited. This article synthesizes the insights generated during a Fireside Chat convened by members of the Latin American Cooperative Oncology Group (LACOG)-Head and Neck and the Brazilian Group of Head and Neck Cancer (GBCP), with the participation of international expert Professor Hisham Mehanna. The discussion addressed key challenges and opportunities in clinical and translational research within resource-constrained settings.
View Article and Find Full Text PDFSci Signal
September 2025
Department of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Replication of HIV-1 requires the coordinated action of host and viral transcription factors, most critically the viral transactivator Tat and the host nuclear factor κB (NF-κB). This activity is disrupted in infected cells that are cultured with extracellular vesicles (EVs) present in human semen, suggesting that they contain factors that could inform the development of new therapeutics. Here, we explored the contents of semen-derived EVs (SEVs) from uninfected donors and individuals with HIV-1 and identified host proteins that interacted with HIV Tat and the NF-κB subunit p65.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Department of Chemistry, Boston University, 590 Commonwealth Ave, Boston, Massachusetts 02215, United States.
The cytosolic iron-sulfur cluster assembly (CIA) targeting complex maturates over 30 cytosolic and nuclear Fe-S proteins, raising the question of how a single complex recognizes such a diverse set of clients. The discovery of a C-terminal targeting complex recognition (TCR) peptide in up to 25% of CIA clients provided a clue to substrate specificity, yet the molecular and energetic basis for this interaction remained unresolved. By integrating computational and biochemical approaches, we show that the TCR peptide binds a conserved interface between the Cia1 and Cia2 subunits of the targeting complex, even in the absence of the Fe-S cluster.
View Article and Find Full Text PDFPLoS One
September 2025
Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China.
MicroRNAs (miRNAs) are critical regulators of gene expression in cancer biology, yet their spatial dynamics within tumor microenvironments (TMEs) remain underexplored due to technical limitations in current spatial transcriptomics (ST) technologies. To address this gap, we present STmiR, a novel XGBoost-based framework for spatially resolved miRNA activity prediction. STmiR integrates bulk RNA-seq data (TCGA and CCLE) with spatial transcriptomics profiles to model nonlinear miRNA-mRNA interactions, achieving high predictive accuracy (Spearman's ρ > 0.
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