A novel subgroup of UCHL1-related cancers is associated with genomic instability and sensitivity to DNA-damaging treatment

Purpose: Identification of molecularly-defined cancer subgroups and targeting tumor-specific vulnerabilities have a strong potential to improve treatment response and patient outcomes but remain an unmet challenge of high clinical relevance, especially in head and neck squamous cell carcinoma (HNSC)...

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Hauptverfasser: Burkart, Sebastian (VerfasserIn) , Weusthof, Christopher (VerfasserIn) , Khorani, Karam (VerfasserIn) , Steen, Sonja (VerfasserIn) , Stögbauer, Fabian (VerfasserIn) , Unger, Kristian (VerfasserIn) , Hess, Julia (VerfasserIn) , Zitzelsberger, Horst (VerfasserIn) , Belka, Claus (VerfasserIn) , Kurth, Ina (VerfasserIn) , Heß, Jochen (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 8 March 2023
In: Cancers
Year: 2023, Jahrgang: 15, Heft: 6, Pages: 1-16
ISSN:2072-6694
DOI:10.3390/cancers15061655
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3390/cancers15061655
Verlag, lizenzpflichtig, Volltext: https://www.mdpi.com/2072-6694/15/6/1655
Volltext
Verfasserangaben:Sebastian Burkart, Christopher Weusthof, Karam Khorani, Sonja Steen, Fabian Stögbauer, Kristian Unger, Julia Hess, Horst Zitzelsberger, Claus Belka, Ina Kurth and Jochen Hess

MARC

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520 |a Purpose: Identification of molecularly-defined cancer subgroups and targeting tumor-specific vulnerabilities have a strong potential to improve treatment response and patient outcomes but remain an unmet challenge of high clinical relevance, especially in head and neck squamous cell carcinoma (HNSC). Experimental design: We established a UCHL1-related gene set to identify and molecularly characterize a UCHL1-related subgroup within TCGA-HNSC by integrative analysis of multi-omics data. An extreme gradient boosting model was trained on TCGA-HNSC based on GSVA scores for gene sets of the MSigDB to robustly predict UCHL1-related cancers in other solid tumors and cancer cell lines derived thereof. Potential vulnerabilities of UCHL1-related cancer cells were elucidated by an in-silico drug screening approach. Results: We established a 497-gene set, which stratified the TCGA-HNSC cohort into distinct subgroups with a UCHL1-related or other phenotype. UCHL1-related HNSC were characterized by higher frequencies of genomic alterations, which was also evident for UCHL1-related cancers of other solid tumors predicted by the classification model. These data indicated an impaired maintenance of genomic integrity and vulnerability for DNA-damaging treatment, which was supported by a favorable prognosis of UCHL1-related tumors after radiotherapy, and a higher sensitivity of UCHL1-related cancer cells to irradiation or DNA-damaging compounds (e.g., Oxaliplatin). Conclusion: Our study established UCHL1-related cancers as a novel subgroup across most solid tumor entities with a unique molecular phenotype and DNA-damaging treatment as a specific vulnerability, which requires further proof-of-concept in pre-clinical models and future clinical trials. 
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