J Biochem Mol Toxicol. 2026 Feb;40(2):e70700. doi: 10.1002/jbt.70700.

ABSTRACT

Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer (NSCLC), and its malignant progression involves complex molecular mechanisms. While microRNAs (miRNAs) play a crucial regulatory role in LUAD development, their specific mechanisms remain unclear. This study used bioinformatics analysis to identify key miRNA-mRNA interaction axes in LUAD, revealing that let-7b-3p was significantly downregulated. Functional analyses demonstrated that let-7b-3p regulates LUAD cell proliferation, migration, and invasion by targeting High Mobility Group AT-Hook 2 (HMGA2) and Lin-28 Homolog A (LIN28A). Dual-luciferase reporter assays confirmed that let-7b-3p directly binds to HMGA2 and LIN28A, suppressing their expression. Furthermore, Western blot and immunofluorescence (IF) assays showed that let-7b-3p inhibits the Wnt/TGF-β signaling pathway and epithelial-mesenchymal transition (EMT) via the HMGA2-LIN28A axis. In vivo, experiments using a nude mouse model further demonstrated that let-7b-3p overexpression significantly suppressed LUAD tumor growth and lung metastasis while reducing the expression of EMT-related molecules. Importantly, this study is the first to reveal the inhibitory role of let-7b-3p in LUAD through the HMGA2-LIN28A axis in regulating the Wnt/TGF-β signaling pathway and EMT. These findings highlight the originality of this work and underscore the potential clinical translational value of targeting let-7b-3p or the HMGA2-LIN28A axis as novel therapeutic strategies for LUAD.

PMID:41586577 | DOI:10.1002/jbt.70700

Sci Data. 2025 Oct 20;12(1):1653. doi: 10.1038/s41597-025-05939-0.

ABSTRACT

Long-read RNA sequencing (RNA-seq) technologies have revolutionized transcriptomic research by enabling the sequencing of full-length RNA molecules, thus providing a more accurate characterization of complex transcript isoforms than traditional short-read approaches. In this study, we present a high-coverage long-read transcriptome dataset generated using Oxford Nanopore Technologies' PromethION platform from ten human pancreatic cancer cell lines, with two biological replicates per line. The dataset comprises approximately 189.8 million reads across 20 samples, providing a valuable resource for studying transcript structures in pancreatic cancer. We perform systematic quality assessments, including read length, base quality, and gene body coverage, and report high reproducibility between replicates. Processed files, including transcript annotations in GTF, FASTA, and BED formats, are publicly available to facilitate reuse. This resource supports a wide range of downstream applications such as isoform discovery, transcriptome annotation, and integration with other omics data, offering a foundation for further exploration of transcriptomic complexity in cancer biology.

PMID:41115920 | PMC:PMC12537988 | DOI:10.1038/s41597-025-05939-0

Front Immunol. 2025 Feb 17;16:1510503. doi: 10.3389/fimmu.2025.1510503. eCollection 2025.

ABSTRACT

BACKGROUND: UBA1 and UBA6 are classic ubiquitin-activating E1 enzymes, which participate in the ubiquitination degradation of intracellular proteins and are closely related to the occurrence and development of various diseases and tumors. However, at present, comprehensive analysis has not been used to study the role of UBA family in cancers.

METHODS: We extracted the relevant data of cancer patients from the TCGA database and studied the relationship between the expression patterns of UBA family and the survival rate, and stage of patients in pan-cancer, especially breast cancer (BRCA), colorectal cancer (COAD), renal cancer (KIRC) and lung adenocarcinoma (LUAD). In addition, we also evaluated their impact on immune infiltration using TISIDB database and R packages.

RESULTS: UBA1 and UBA6 are highly expressed in most cancer types, which may be associated with poor prognosis of patients. This study also investigated their expression had a closely tie with clinical stages in some specific tumors. Furthermore, this study also demonstrated that these genes were closely related to immune score, immune subtypes and tumor infiltrating immune cells.

CONCLUSIONS: Our study demonstrated that the differential expression of the UBA family, along with their associated survival landscape and immune infiltration across various cancer types, holds potential as biomarkers linked to cancer immune infiltration. This finding offers a novel perspective for informing the direction of cancer treatment strategies.

PMID:40046044 | PMC:PMC11880792 | DOI:10.3389/fimmu.2025.1510503