Role of Homologous Recombination Repair (HRR) Genes in Uterine Leiomyosarcomas: A Retrospective Analysis.
Francesca CiccaroneMatteo BrunoElisa De PaolisAlessia PiermatteiMaria De BonisDomenica LorussoGian Franco ZannoniNicola NormannoAngelo MinucciGiovanni ScambiaGabriella FerrandinaPublished in: Cancers (2022)
Uterine leiomyosarcomas (uLMS) is a very rare disease, and patients experience a dismal prognosis even when treated with chemotherapy. Therefore, a more in-depth molecular characterization of this disease could provide suitable data for the identification of potential target-based drugs. This retrospective, single institutional study aimed to define the frequencies of gene alterations in uLMS, especially regarding the somatic mutations of BRCA and Homologous Recombination Repair (HRR) genes, and the impact of molecular alterations on clinical outcomes. The 16-genes Next-Generation Sequencing (NGS) panel, Homologous Recombination Solution TM (HRS, Sophia Genetics, Saint Sulpice, Switzerland), was used for the molecular evaluation of samples. The majority of patients (66/105, 63%) carried at least one sequence alteration, with a prevalence of TP53 involvement followed by RAD51B , BRCA1/2 , and FANCL . Patients with TP53 gene alterations experienced a significantly worse prognosis for progression free survival (PFS) and overall survival (OS) versus wild-type patients. Given the number of patients with the BRCA1/2 mutation (N = 12), we included them in the HRR patient group; there was no difference in clinical outcomes with HRR versus non-HRR. The Cox's multivariate analysis showed that stage and TP53 gene alterations resulted in a significantly worse OS. The integration of gene networking data, such as tumor mutation burdens and cancer driver gene identification, could show a clearer discrimination of gene distribution patterns, and lead to the implementation of therapeutic targets.
Keyphrases
- genome wide
- copy number
- dna damage
- end stage renal disease
- genome wide identification
- dna repair
- newly diagnosed
- chronic kidney disease
- dna methylation
- free survival
- squamous cell carcinoma
- gene expression
- genome wide analysis
- wild type
- bioinformatics analysis
- oxidative stress
- electronic health record
- risk assessment
- patient reported outcomes
- big data
- human health
- breast cancer risk