학술논문

Identification of a new prognostic score for patients with high-grade metastatic GEP-NEN treated with palliative chemotherapy.
Document Type
Article
Source
Journal of Cancer Research & Clinical Oncology. Jul2023, Vol. 149 Issue 8, p4315-4325. 11p.
Subject
*PROPORTIONAL hazards models
*NEUROENDOCRINE tumors
*LYMPHOCYTE count
*PROGNOSIS
*LACTATE dehydrogenase
*MERKEL cell carcinoma
Language
ISSN
0171-5216
Abstract
Purpose: High-grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN G3) are rare and heterogeneous malignancies with poor prognosis. Aim of this study was to develop prognosticators identifying those patients that derive the most benefit from currently available systemic therapies. Methods: This retrospective analysis included 78 patients with metastatic GEP-NEN G3. For patients with imaging data available (n = 52), the overall response rate (ORR) and disease control rate (DCR) were evaluated according to the Response Evaluation Criteria in Solid Tumors 1.1 (RECIST 1.1). A Cox proportional hazard model was used to analyze the prognostic value of selected clinical and blood-based biomarkers. The impact of palliative chemotherapy regimens on time-to-treatment-failure (TTF) and overall survival (OS) was assessed. Results: Median OS of the study cohort was 9.0 months (95% CI 7.0–11.1). The majority of patients received first-line treatment with platinum plus etoposide (83.3%). The ORR and DCR of the RECIST-evaluable subgroup were 34.6% and 76.9%. Median TTF upon first-line treatment was 4.9 months (95% CI 3.4–6.4). Multivariate analysis identified the Eastern Cooperative Oncology Group performance status (ECOG PS), lactate dehydrogenase (LDH) and absolute lymphocyte count as independent prognostic factors. A prognostic score based on these parameters discriminated patients with favorable and unfavorable outcomes. Conclusion: Outcomes of patients with GEP-NEN G3 are still limited. A new prognostic score identifying those patients benefitting from current platinum/etoposide-based chemotherapy protocols may help as stratification factor in future trial design. [ABSTRACT FROM AUTHOR]