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T1和T2期前列腺癌患者死亡率的影响因素:一项回顾性队列研究。

Influencing factors for mortality in prostate cancer patients with T1 and T2 stage: a retrospective cohort study.

作者信息

Hong Xuwei, Cao Sizhe, Chi Zepai, Zhang Yuanfeng, Lin Tianxin, Zhang Yonghai

机构信息

Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Department of Urology, Shantou Central Hospital, Shantou, China.

出版信息

Transl Androl Urol. 2023 Jan 30;12(1):58-70. doi: 10.21037/tau-22-818. Epub 2023 Jan 12.

DOI:10.21037/tau-22-818
PMID:36760871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9906115/
Abstract

BACKGROUND

Few reports have focused on the influencing factors of localized prostate cancer (PCa)-specific mortality so far. This study aimed to develop a competitive risk model for identifying the factors influencing the localized PCa mortality rate based on 135,310 subjects in the Surveillance, Epidemiology, and End Results (SEER) database.

METHODS

We included 135,310 localized PCa male patients from SEER database 2004-2016 in this cohort study, and collected the baseline information of all patients, including age of diagnosis, race, marital status, socioeconomic status (SES), American Joint Committee on Cancer (AJCC) stage, prostate-specific antigen (PSA) Gleason score, and so on. The outcome was considered as PCa-specific mortality in this study. The end time of follow-up was November 2018. Independent risk factors were examined by multivariate Fine-Gray analysis. The results are shown by hazard ratio (HR) and 95% confidence interval (CI).

RESULTS

All patients were divided into three groups: died from localized PCa (n=1,400), died from other causes (n=16,996), and survived (n=116,914). The diagnostic age of 119,899 patients was ≥55 years. The multivariate Fine-Gray analysis indicated that age of diagnosis (55-70 years: HR =1.473, 95% CI: 1.124-1.930; >70 years: HR =2.528, 95% CI: 1.901-3.362), race (American India/Alaska Native, Asian/Pacific Islander: HR =0.653, 95% CI: 0.490-0.870), marital status (divorced: HR =1.433, 95% CI: 1.197-1.717; single: HR =1.463, 95% CI: 1.244-1.719; widowed: HR =1.485, 95% CI: 1.222-1.804), therapeutic method (radiotherapy: HR =1.500; 95% CI: 1.119-2.011), SES (4-10: HR =0.799, 95% CI: 0.664-0.961; ≥11: HR =0.670; 95% CI: 0.534-0.839), AJCC stage (HR =0.820, 95% CI: 0.715-0.940), level of PSA (HR: 1.002, 95% CI: 1.002-1.002) and Gleason score (HR: 2.226, 95% CI: 2.108-2.350) were associated with the risk of localized PCa mortality.

CONCLUSIONS

The study determined the influencing factors for mortality in patients with localized PCa through a competitive risk model. This finding may provide a reference for localized PCa patients: localized PCa patients who are older, divorced, widowed, single, have a radiotherapy, have a high PSA level, and Gleason score may be at high risk.

摘要

背景

目前很少有报告关注局限性前列腺癌(PCa)特异性死亡率的影响因素。本研究旨在基于监测、流行病学和最终结果(SEER)数据库中的135310名受试者,开发一种竞争风险模型,以识别影响局限性PCa死亡率的因素。

方法

在这项队列研究中,我们纳入了SEER数据库2004 - 2016年的135310名局限性PCa男性患者,并收集了所有患者的基线信息,包括诊断年龄、种族、婚姻状况、社会经济地位(SES)、美国癌症联合委员会(AJCC)分期、前列腺特异性抗原(PSA) Gleason评分等。本研究将结局视为PCa特异性死亡率。随访结束时间为2018年11月。通过多变量Fine - Gray分析检查独立危险因素。结果以风险比(HR)和95%置信区间(CI)表示。

结果

所有患者分为三组:死于局限性PCa(n = 1400)、死于其他原因(n = 16996)和存活(n = 116914)。119899名患者的诊断年龄≥55岁。多变量Fine - Gray分析表明,诊断年龄(55 - 70岁:HR = 1.473,95% CI:1.124 - 1.930;>70岁:HR = 2.528,95% CI:1.9

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b09d/9906115/158a41ae1bef/tau-12-01-58-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b09d/9906115/2c486eb62c18/tau-12-01-58-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b09d/9906115/158a41ae1bef/tau-12-01-58-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b09d/9906115/2c486eb62c18/tau-12-01-58-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b09d/9906115/158a41ae1bef/tau-12-01-58-f2.jpg

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本文引用的文献

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Front Public Health. 2022 Feb 22;10:840525. doi: 10.3389/fpubh.2022.840525. eCollection 2022.
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Construction and Validation of a Novel Ferroptosis-Related Prognostic Model for Acute Myeloid Leukemia.一种新型急性髓系白血病铁死亡相关预后模型的构建与验证
Front Genet. 2022 Jan 17;12:708699. doi: 10.3389/fgene.2021.708699. eCollection 2021.
3
How socioeconomic and clinical factors impact prostate-cancer-specific and other-cause mortality in prostate cancer stratified by clinical stage: Competing-risk analysis.
社会经济和临床因素如何影响按临床分期分层的前列腺癌特异性和其他原因死亡率:竞争风险分析。
Prostate. 2022 Mar;82(4):415-424. doi: 10.1002/pros.24287. Epub 2021 Dec 20.
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CRISPR Screen Contributes to Novel Target Discovery in Prostate Cancer.CRISPR 筛选有助于前列腺癌新靶点的发现。
Int J Mol Sci. 2021 Nov 26;22(23):12777. doi: 10.3390/ijms222312777.
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Epidemiology and Prevention of Prostate Cancer.前列腺癌的流行病学与预防。
Eur Urol Oncol. 2021 Dec;4(6):877-892. doi: 10.1016/j.euo.2021.09.006. Epub 2021 Oct 26.
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Relationship between socioeconomic status and prostate cancer (incidence, aggressiveness, treatment with curative intent, and mortality): a spatial analysis using population-based cancer registry data.社会经济地位与前列腺癌(发病率、侵袭性、根治性治疗及死亡率)之间的关系:基于人群癌症登记数据的空间分析
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