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

Author:

Ullah Asad1ORCID,Yasinzai Abdul Qahar Khan2ORCID,Lee Kue Tylor3,Chaudhury Tristin1,Chaudhury Hannah1ORCID,Chandasir Abdullah3,Wali Agha4,Waheed Abdul5ORCID,Tareen Bisma4,Khan Marjan6,Goyal Aman7ORCID,Iqbal Asif8ORCID,Sohail Amir Humza9ORCID,Maan Soban10,Sheikh Abu Baker11,Ghafouri Sayed Ab Reshad12,Khan Israr13,Del Rivero Jaydira14ORCID,Karki Nabin R.15ORCID

Affiliation:

1. Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA

2. University of Florida Health Cancer Center, Gainesville, FL 32608, USA

3. Medical College of Georgia, Augusta, GA 30912, USA

4. Bolan Medical College, Quetta 83700, Pakistan

5. Department of Surgery, Baycare Health System, Clearwater, FL 33759, USA

6. Marshfield Clinics, Marshfield, WI 54449, USA

7. Seth GS Medical College and KEM Hospital, Mumbai 400012, India

8. Mercy Hospital, Ardmore, OK 73401, USA

9. Department of Surgery, University of New Mexico, Albuquerque, NM 87106, USA

10. Department of Internal Medicine, West Virginia University, Morgantown, WV 26506, USA

11. Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA

12. Department of Hematology-Oncology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA

13. Department of Medicine, Insight Hospital and Medical Center, Chicago, IL 60616, USA

14. Division of Medical Oncology, National Institute of Health (NIH), Bethesda, MD 20814, USA

15. Mitchell Cancer Center, University of South Alabama, Mobil, AL 36604, USA

Abstract

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.

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3