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Prognostic Nomogram Predicting Survival and Propensity Score Matching with Demographics and Comparative Analysis of Prostate Small Cell and Large Cell Neuroendocrine Carcinoma.

Asad UllahAbdul Qahar Khan YasinzaiKue Tylor LeeTristin ChaudhuryHannah ChaudhuryAbdullah ChandasirAgha WaliAbdul WaheedBisma TareenMarjan KhanAman GoyalAsif IqbalAmir Humza SohailSoban MaanAbu Baker SheikhSayed Ab Reshad GhafouriIsrar KhanJaydira Del RiveroNabin Raj Karki
Published in: Journal of clinical medicine (2024)
Background : This retrospective study aims to examine the patient demographics, survival rates, and treatment methods for small-cell neuroendocrine carcinoma (SCNEC) and large-cell neuroendocrine carcinoma (LCNEC) of prostate origin while also identifying the main differences between common types of prostate cancer with comparative analysis for survival. Methods : Our analysis utilized the Surveillance, Epidemiology, and End Results database (SEER), and data was collected from 2000-2020. Cox proportional hazards and chi-squared analysis were used for statistical analysis. Results : A total of 718 cases of prostate small and large neuroendocrine carcinoma were identified. The median age was 71.5 years, and the median follow-up was 11.0 years (95% confidence interval (95% CI) = 9.2-12.8). Most patients were over the age of 80 years (33.8%) and Caucasian (74.4%). The overall 5-year survival was 8.0% (95% CI = 6.8-9.2). The 5-year OS for Caucasians was 7.3% (95% C.I. 6.0-8.3). For Black Americans, the 5-year OS was 11.9% (95% C.I. 7.3-16.5). For Hispanics, the 5-year OS was 12.2% (95% C.I. 7.7-16.7). The 5-year cause-specific survival (CSS) was 16.2% (95% CI = 14.3-18.1). For treatment modality, the five-year survival for each were as follows: chemotherapy, 3.5% (95% CI = 2.1-4.9); surgery, 18.2% (95% CI = 13.6-22.8); multimodality therapy (surgery and chemotherapy), 4.8% (95% CI = 1.7-7.9); and combination (chemoradiation with surgery), 5.0% (95% CI = 1.0-9.0). The prognostic nomogram created to predict patient survivability matched the findings from the statistical analysis with a statistical difference found in race, income, housing, stage, and nodal status. The nomogram also indicated a slight increase in mortality with tumors of greater size. This analysis showed a slight increase in mortality for patients of Asian race. In addition, there was a significant increase in death for patients with stage 3 tumors, as well as patients who underwent surgery and radiation. Furthermore, we performed propensity score matching for survival differences, and no survival difference was found between SCNEC and LCNEC. Conclusions : Asian patients, larger tumor size, and distant disease were associated with worse long-term clinical outcomes. By leveraging insights from registry-based studies, clinicians can better strategize treatment options, improving patient outcomes in this challenging oncology arena.
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