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Non-small cell lung carcinoma (NSCLC) is a major cause of cancer mortality. High expression of the epithelial-to-mesenchymal transition transcription factor (EMT-TF) Twist1 is strongly associated with metastatic cancers and with treatment resistance. Twist1 can also upregulate O-GlcNAcylation to suppress fail-safe programs such as Kras oncogene-induced senescence (OIS) that accelerates NSCLC tumorigenesis. We wanted to decipher the critical domains and transcriptional targets required for Twist1 acceleration of lung tumorigenicity. We created a novel genetically-engineered mouse model for autochthonous lung cancer through lung epithelial expression of Kras oncogene (CR) concomitantly with Twist1 (CRT) or a Twist1 transactivation-deficient mutant (CRF191G). Compared to CR and CRF191G, CRT mice had shorter tumor-free survival and more aggressive tumors histologically. CRT lung tumors also showed higher proliferation and lower cell-cycle arrest suggesting that the Twist1 transactivation-domain is important for OIS suppression. Supporting these data, we observed in non-cancer human bronchial epithelial cells (HBECs) that the co-expression of human TWIST1 enhanced tumorigenic/invasive programs and could suppress HRas-induced senescence while co-expressing TWIST1 transactivation-deficient mutant could not. TWIST1 co-expression with HRas in HBECs differentially modulated MYC downstream transcriptional programs. Finally, OIS induction in HBECHRas-TWIST1 was rescued by O-GlcNAcylation inhibition or by treatment with a novel MYC inhibitor MYCi975 or by MYC knockdown. Altogether, these results indicate that the Twist1 transactivation domain is required for Twist1-dependent acceleration of lung tumorigenesis via MYC and nominate MYCi975 as a means to activate latent OIS programs. MYC targeting strategies could limit pro-tumorigenic programs and serve as a therapeutic for TWIST1-overexpressing NSCLCs.
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http://dx.doi.org/10.1016/j.neo.2025.101179 | DOI Listing |
Biology (Basel)
August 2025
Farm Animal Genetic Resources Exploration Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Horns in Bovidae, including bovines, sheep, and goats, are evolutionarily conserved cranial structures derived from cranial neural crest cells and composed of a bony core, dermis, epidermis, and keratinous sheath. Their development follows a shared trajectory across species, progressing through placode, fleshy, and mature stages. Genetic regulators such as , , , and have been identified as pivotal determinants controlling horn morphogenesis, sexual dimorphism, and the polled phenotype.
View Article and Find Full Text PDFSci Rep
September 2025
State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361102, China.
Int J Mol Sci
August 2025
Institute of Pathology, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia.
Renal cell carcinoma (RCC) has a well-established propensity to form grossly visible tumour thrombi; however a comprehensive understanding of the underlying mechanisms is still lacking. The epithelial-mesenchymal transition (EMT) has been implicated in the progression of many carcinomas, including RCC; however, its exact role in the formation of venous tumour thrombi remains unclear. This study aims to explore the involvement of the EMT in venous invasion in RCC.
View Article and Find Full Text PDFBMC Cancer
August 2025
Department of Gynecology, The Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang City, 050000, Hebei Province, China.
Background: The importance of epithelial‒mesenchymal transition (EMT) in tumour invasion and metastasis in high-grade serous ovarian cancer (HGSOC) has been highlighted in numerous studies, but genetic biomarkers for predicting EMT in HGSOC are still lacking.
Methods: The role of EMT hallmarks and the relationship between EMT and the tumour microenvironment in HGSOC were examined based on transcriptomic data from 366 HGSOC patients in the TCGA dataset via the GSVA algorithm, the ESTIMATE method and Pearson correlation analyses. Furthermore, machine learning was applied to determine key EMT signatures and classify EMT subtypes.
Endoplasmic reticulum stress and glucose supply are significant factors in glioblastoma growth. The present study aims to investigate the impact of glucose-dependent control of , , , , , and gene expression in U87MG glioblastoma cells in response to the inhibition of both enzymatic activities of signaling protein ERN1. The U87MG glioblastoma cells with inhibited both enzymatic activities of ERN1 (endoribonuclease and protein kinase; dnERN1) were used.
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