ABSTRACT
OBJECTIVE: Next-generation sequencing (NGS) analysis has become an essential tool for endometrial carcinoma management. Moreover, molecular-driven therapies play an increasingly remarkable role in the era of precision oncology. This study aims to determine the clinical relevance of NGS testing in endometrial carcinoma management by analyzing the clinical benefit of NGS-driven targeted therapies. METHODS: A single-center retrospective study was conducted on 25 endometrial carcinoma patients who underwent Foundation Medicine CDx assay at Fondazione Policlinico Universitario Agostino Gemelli, IRCCS (Rome, Italy). Tumor samples were analyzed by Foundation One CDx. A descriptive analysis of tumor genome profiles was performed. Assessment of clinical benefit according to RECIST 1.1 criteria was analyzed for patients who received a tailored treatment according to actionable targets identified by NGS testing. RESULTS: Out of 25 endometrial carcinoma patients, 11 received targeted therapy. One patient was excluded from the clinical benefit assessment because of COVID-19-related death 1 month after starting the treatment. Eight of the remaining 10 patients benefited from targeted therapies, with an overall clinical benefit rate of 80%. A targeted agent belonging to the PI3K pathway was given to seven patients, with evidence of three partial responses (42.9%), three stable diseases (42.9%), and one progressive disease (14.2%) according to RECIST 1.1 criteria. One complete response (33.3%), one stable disease (33.3%), and one progressive disease (33.3%) were observed in the three patients treated with poly(ADP-ribose) polymerase (PARP) inhibitors according to their homologous recombination deficiency (HRD) status. CONCLUSION: This study highlights the importance of characterizing the mutation profile of patient tumors through NGS. Our findings suggest a clinical benefit of using NGS-driven targeted therapies in endometrial carcinoma patients. However, this personalized approach could benefit the health system in terms of cost-effectiveness by reducing the costs of inappropriate, ineffective, and often expensive treatments.
Subject(s)
COVID-19 , Endometrial Neoplasms , Female , Humans , Retrospective Studies , Clinical Relevance , Phosphatidylinositol 3-Kinases , Precision Medicine , Endometrial Neoplasms/drug therapy , Endometrial Neoplasms/genetics , High-Throughput Nucleotide Sequencing , MutationABSTRACT
Background: Clinically, evidence shows that uterine corpus endometrial carcinoma (UCEC) patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may have a higher death-rate. However, current anti-UCEC/coronavirus disease 2019 (COVID-19) treatment is lacking. Plumbagin (PLB), a pharmacologically active alkaloid, is an emerging anti-cancer inhibitor. Accordingly, the current report was designed to identify and characterize the anti-UCEC function and mechanism of PLB in the treatment of patients infected with SARS-CoV-2 via integrated in silico analysis. Methods: The clinical analyses of UCEC and COVID-19 in patients were conducted using online-accessible tools. Meanwhile, in silico methods including network pharmacology and biological molecular docking aimed to screen and characterize the anti-UCEC/COVID-19 functions, bio targets, and mechanisms of the action of PLB. Results: The bioinformatics data uncovered the clinical characteristics of UCEC patients infected with SARS-CoV-2, including specific genes, health risk, survival rate, and prognostic index. Network pharmacology findings disclosed that PLB-exerted anti-UCEC/COVID-19 effects were achieved through anti-proliferation, inducing cytotoxicity and apoptosis, anti-inflammation, immunomodulation, and modulation of some of the key molecular pathways associated with anti-inflammatory and immunomodulating actions. Following molecular docking analysis, in silico investigation helped identify the anti-UCEC/COVID-19 pharmacological bio targets of PLB, including mitogen-activated protein kinase 3 (MAPK3), tumor necrosis factor (TNF), and urokinase-type plasminogen activator (PLAU). Conclusions: Based on the present bioinformatic and in silico findings, the clinical characterization of UCEC/COVID-19 patients was revealed. The candidate, core bio targets, and molecular pathways of PLB action in the potential treatment of UCEC/COVID-19 were identified accordingly.