Maria Orsaria

Exploring the cost-effectiveness of the OSNA method for patients facing endometrial cancer: Insights from a single-institution experience

The one-step nucleic acid amplification (OSNA) method has emerged as a potential alternative to ultrastaging for diagnosing lymph node metastasis. This study aims to assess the cost-effectiveness of the OSNA technique compared to ultrastaging for detecting SLN metastasis in patients with early-stage endometrial cancer (EC). This retrospective, observational, single-center study included 30 patients with EC who underwent surgical treatment. SLN mapping was performed using an intracervical injection of indocyanine green. SLNs were analyzed and classified as negative, as having isolated tumor cells, micrometastases, or macrometastases. The study evaluated and quantified the costs of the OSNA and ultrastaging procedures in euros. A total of 54 lymph nodes were analyzed using both the OSNA and ultrastaging methods. Concordant negativity was identified in 48 cases (89 %), while micrometastases were detected concordantly in 1 case (1.8 %). The cost for a single ultrastaging lymph node analysis, including immunohistochemistry, is approximately € 250, with a total processing time of 2 days. The cost for a single OSNA analysis is approximately € 236, boasting a significantly shorter processing time of 30-40 min. While materials and staff costs are comparable between both techniques, considering time-related expenses, the OSNA method proves to be more cost-effective than ultrastaging (p < 0.001). The OSNA method demonstrates diagnostic accuracy comparable to histopathological examination in detecting lymph node metastases, reinforcing its reliability for lymph node assessment in patients with EC. Our cost analysis reveals that the OSNA method is more cost-effective than ultrastaging when time-related expenses are considered.

Application of novel algorithm on a retrospective series to implement the molecular classification for endometrial cancer

The study aimed to validate the Betella algorithm, focusing on molecular analyses exclusively for endometrial cancer patients, where molecular classification alters risk assessment based on ESGO/ESTRO/ESP 2020 guidelines. Conducted between March 2021 and March 2023, the retrospective research involved endometrial cancer patients undergoing surgery and comprehensive molecular analyses. These included p53 and mismatch repair proteins immunohistochemistry, as well as DNA sequencing for POLE exonuclease domain. We applied the Betella algorithm to our population and evaluated the proportion of patients in which the molecular analysis changed the risk class attribution. Out of 102 patients, 97 % obtained complete molecular analyses. The cohort exhibited varying molecular classifications: 10.1 % as POLE ultra-mutated, 30.3 % as mismatch repair deficient, 11.1 % as p53 abnormal, and 48.5 % as non-specified molecular classification. Multiple classifiers were present in 3 % of cases. Integrating molecular classification into risk group calculation led to risk group migration in 11.1 % of patients: 7 moved to lower risk classes due to POLE mutations, while 4 shifted to higher risk due to p53 alterations. Applying the Betella algorithm, we can spare the POLE sequencing in 65 cases (65.7 %) and p53 immunochemistry in 17 cases (17.2 %). In conclusion, we externally validated the Betella algorithm in our population. The application of this new proposed algorithm enables assignment of the proper risk class and, consequently, the appropriate indication for adjuvant treatment, allowing for the rationalization of the resources that can be allocated otherwise, not only for the benefit of settings with low resources, but of all settings in general.