Mesothelioma survival prediction based on a six-gene transcriptomic signature.

Autor:	Behrouzfar K; National Centre for Asbestos Related Diseases, University of Western Australia, Nedlands, WA, Australia.; School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia.; Institute for Respiratory Health, University of Western Australia, Perth, WA, Australia.; Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia., Mutsaers SE; School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia.; Institute for Respiratory Health, University of Western Australia, Perth, WA, Australia., Chin WL; National Centre for Asbestos Related Diseases, University of Western Australia, Nedlands, WA, Australia.; Department of Medical Oncology, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia.; Telethon Kids Institute, Nedlands, WA 6009, Australia., Patrick K; National Centre for Asbestos Related Diseases, University of Western Australia, Nedlands, WA, Australia.; School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia.; Institute for Respiratory Health, University of Western Australia, Perth, WA, Australia., Ng IT; School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia., Pixley FJ; School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia., Morahan G; Centre for Diabetes Research, Harry Perkins Institute of Medical Research, Perth, WA, Australia., Lake RA; National Centre for Asbestos Related Diseases, University of Western Australia, Nedlands, WA, Australia.; Institute for Respiratory Health, University of Western Australia, Perth, WA, Australia., Fisher SA; National Centre for Asbestos Related Diseases, University of Western Australia, Nedlands, WA, Australia.; School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia.; Institute for Respiratory Health, University of Western Australia, Perth, WA, Australia.
Jazyk:	angličtina
Zdroj:	IScience [iScience] 2024 Sep 23; Vol. 27 (10), pp. 111011. Date of Electronic Publication: 2024 Sep 23 (Print Publication: 2024).
DOI:	10.1016/j.isci.2024.111011
Abstrakt:	Mesothelioma is a lethal cancer. Despite promising outcomes associated with immunotherapy, durable responses remain restricted to a minority of patients, highlighting the need for improved strategies that better predict outcome. Here, we described the development of a mesothelioma-specific gene signature that accurately predicts survival. Comprehensive gene expression analysis of asbestos exposed MexTAg Collaborative Cross mouse tumors revealed distinct tumor clusters characterized by epithelial mesenchymal transition/extracellular matrix, or immune infiltrate related gene expression profiles. Weighted gene co-expression network analysis (WGCNA) identified 20 hub genes that drove differential gene expression. Human homologues of these 20 hub genes were refined through univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses to identify a six-gene mesothelioma-specific prognostic signature that accurately predicted patient survival across four independent human mesothelioma datasets. Furthermore, this six-gene signature demonstrated the potential to predict treatment response, thus advancing the management of this challenging malignancy. Competing Interests: The authors declare no competing interests. (© 2024 The Author(s).)
Databáze:	MEDLINE
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