• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

远处转移性肝细胞癌的条件生存概率:一项基于人群的研究。

Conditional survival probability of distant-metastatic hepatocellular carcinoma: A population-based study.

作者信息

Yang Yong-Ping, Guo Cheng-Jun, Gu Zhao-Xuan, Hua Jun-Jie, Zhang Jia-Xuan, Shi Jian

机构信息

Department of General Surgery, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China.

出版信息

World J Gastrointest Oncol. 2023 Nov 15;15(11):1874-1890. doi: 10.4251/wjgo.v15.i11.1874.

DOI:10.4251/wjgo.v15.i11.1874
PMID:38077643
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10701237/
Abstract

BACKGROUND

The prognosis of many patients with distant metastatic hepatocellular carcinoma (HCC) improved after they survived for several months. Compared with traditional survival analysis, conditional survival (CS) which takes into account changes in survival risk could be used to describe dynamic survival probabilities.

AIM

To evaluate CS of distant metastatic HCC patients.

METHODS

Patients diagnosed with distant metastatic HCC between 2010 and 2015 were extracted from the Surveillance, Epidemiology and End Results database. Univariate and multivariate Cox regression analysis were used to identify risk factors for overall survival (OS), while competing risk model was used to identify risk factors for cancer-specific survival (CSS). Six-month CS was used to calculate the probability of survival for an additional 6 mo at a specific time after initial diagnosis, and standardized difference (d) was used to evaluate the survival differences between subgroups. Nomograms were constructed to predict CS.

RESULTS

Positive α-fetoprotein expression, higher T stage (T3 and T4), N1 stage, non-primary site surgery, non-chemotherapy, non-radiotherapy, and lung metastasis were independent risk factors for actual OS and CSS through univariate and multivariate analysis. Actual survival rates decreased over time, while CS rates gradually increased. As for the 6-month CS, the survival difference caused by chemotherapy and radiotherapy gradually disappeared over time, and the survival difference caused by lung metastasis reversed. Moreover, the influence of age and gender on survival gradually appeared. Nomograms were fitted for patients who have lived for 2, 4 and 6 mo to predict 6-month conditional OS and CSS, respectively. The area under the curve (AUC) of nomograms for conditional OS decreased as time passed, and the AUC for conditional CSS gradually increased.

CONCLUSION

CS for distant metastatic HCC patients substantially increased over time. With dynamic risk factors, nomograms constructed at a specific time could predict more accurate survival rates.

摘要

背景

许多远处转移性肝细胞癌(HCC)患者在存活数月后预后有所改善。与传统生存分析相比,考虑生存风险变化的条件生存(CS)可用于描述动态生存概率。

目的

评估远处转移性HCC患者的条件生存情况。

方法

从监测、流行病学和最终结果数据库中提取2010年至2015年诊断为远处转移性HCC的患者。采用单因素和多因素Cox回归分析确定总生存(OS)的危险因素,同时采用竞争风险模型确定癌症特异性生存(CSS)的危险因素。使用6个月条件生存来计算初次诊断后特定时间再存活6个月的概率,并使用标准化差异(d)评估亚组间的生存差异。构建列线图以预测条件生存。

结果

通过单因素和多因素分析,甲胎蛋白表达阳性、较高的T分期(T3和T4)、N1分期、非原发部位手术、未化疗、未放疗和肺转移是实际OS和CSS的独立危险因素。实际生存率随时间下降,而条件生存率逐渐上升。对于6个月条件生存,化疗和放疗引起的生存差异随时间逐渐消失,肺转移引起的生存差异逆转。此外,年龄和性别对生存的影响逐渐显现。为存活2、4和6个月的患者分别拟合列线图以预测6个月条件OS和CSS。条件OS列线图的曲线下面积(AUC)随时间推移而下降,条件CSS的AUC逐渐增加。

结论

远处转移性HCC患者的条件生存随时间显著增加。利用动态危险因素,在特定时间构建的列线图可以预测更准确的生存率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/8d4b6efb0960/WJGO-15-1874-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/2e8bb7bcfecb/WJGO-15-1874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/6316fdffa27b/WJGO-15-1874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/89d9ebe842e5/WJGO-15-1874-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/8d4b6efb0960/WJGO-15-1874-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/2e8bb7bcfecb/WJGO-15-1874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/6316fdffa27b/WJGO-15-1874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/89d9ebe842e5/WJGO-15-1874-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a7/10701237/8d4b6efb0960/WJGO-15-1874-g004.jpg

相似文献

1
Conditional survival probability of distant-metastatic hepatocellular carcinoma: A population-based study.远处转移性肝细胞癌的条件生存概率:一项基于人群的研究。
World J Gastrointest Oncol. 2023 Nov 15;15(11):1874-1890. doi: 10.4251/wjgo.v15.i11.1874.
2
Nomogram of conditional survival probability of long-term Survival for Metastatic Colorectal Cancer: A Real-World Data Retrospective Cohort Study from SEER database.转移性结直肠癌长期生存条件生存概率列线图:来自 SEER 数据库的真实世界数据回顾性队列研究。
Int J Surg. 2021 Aug;92:106013. doi: 10.1016/j.ijsu.2021.106013. Epub 2021 Jul 4.
3
Individualized prediction of conditional survival for colorectal signet-ring cell carcinoma patients.结直肠癌印戒细胞癌患者条件生存的个体化预测
Ann Med Surg (Lond). 2024 Mar 25;86(5):2524-2530. doi: 10.1097/MS9.0000000000001982. eCollection 2024 May.
4
Conditional Cancer-Specific Survival for Inflammatory Breast Cancer: Analysis of SEER, 2010 to 2016.炎性乳腺癌的条件性癌症特异性生存:SEER 分析,2010 年至 2016 年。
Clin Breast Cancer. 2023 Aug;23(6):628-639.e2. doi: 10.1016/j.clbc.2023.05.005. Epub 2023 May 19.
5
Conditional survival analysis and real-time prognosis prediction for cervical cancer patients below the age of 65 years.65岁以下宫颈癌患者的条件生存分析与实时预后预测
Front Oncol. 2023 Jan 9;12:1049531. doi: 10.3389/fonc.2022.1049531. eCollection 2022.
6
Prognostic nomogram for hepatocellular carcinoma with radiofrequency ablation: a retrospective cohort study.肝癌射频消融治疗的预后列线图:一项回顾性队列研究。
BMC Cancer. 2021 Jun 29;21(1):751. doi: 10.1186/s12885-021-08505-0.
7
Early distinction of lymph node metastasis in patients with soft tissue sarcoma and individualized survival prediction using the online available nomograms: A population-based analysis.软组织肉瘤患者淋巴结转移的早期鉴别及使用在线可用列线图进行个体化生存预测:一项基于人群的分析
Front Oncol. 2022 Dec 7;12:959804. doi: 10.3389/fonc.2022.959804. eCollection 2022.
8
Metastasis Pattern and Survival Analysis in Primary Small Bowel Adenocarcinoma: A SEER-Based Study.原发性小肠腺癌的转移模式与生存分析:一项基于监测、流行病学和最终结果(SEER)数据库的研究
Front Surg. 2021 Dec 7;8:759162. doi: 10.3389/fsurg.2021.759162. eCollection 2021.
9
Conditional survival nomogram for monitoring real-time survival of young non-metastatic nasopharyngeal cancer survivors.用于监测年轻非转移性鼻咽癌幸存者实时生存情况的条件生存列线图。
J Cancer Res Clin Oncol. 2023 Sep;149(12):10181-10188. doi: 10.1007/s00432-023-04952-3. Epub 2023 Jun 2.
10
Analysis of prognostic factors of metastatic endometrial cancer based on surveillance, epidemiology, and end results database.基于监测、流行病学和最终结果数据库的转移性子宫内膜癌预后因素分析
Front Surg. 2023 Jan 6;9:1001791. doi: 10.3389/fsurg.2022.1001791. eCollection 2022.

引用本文的文献

1
Comparison of machine learning and Cox regression models for prognostic analysis in hepatocellular carcinoma patients with distant metastasis.机器学习与Cox回归模型在远处转移肝细胞癌患者预后分析中的比较
Surg Open Sci. 2025 Jun 15;27:36-44. doi: 10.1016/j.sopen.2025.06.007. eCollection 2025 Sep.
2
Establishment of a prognostic nomogram and risk stratification system for patients with distant-metastatic hepatocellular carcinoma: A population-based study.远处转移肝细胞癌患者预后列线图及风险分层系统的建立:一项基于人群的研究。
Medicine (Baltimore). 2025 Jun 13;104(24):e42834. doi: 10.1097/MD.0000000000042834.
3

本文引用的文献

1
Therapeutic efficacy of nivolumab plus sorafenib therapy in patients with unresectable hepatocellular carcinoma.纳武利尤单抗联合索拉非尼治疗不可切除肝细胞癌患者的疗效
Int Immunopharmacol. 2022 Nov;112:109223. doi: 10.1016/j.intimp.2022.109223. Epub 2022 Sep 7.
2
Conditional cause-specific survival after chemotherapy and local treatment for primary stage IV breast cancer: A population-based study.化疗及局部治疗后原发性IV期乳腺癌的条件性特定病因生存率:一项基于人群的研究。
Front Oncol. 2022 Aug 5;12:800813. doi: 10.3389/fonc.2022.800813. eCollection 2022.
3
The Efficacy of Radiotherapy in the Treatment of Hepatocellular Carcinoma with Distant Organ Metastasis.
Dynamic Prediction of Rectal Cancer Relapse and Mortality Using a Landmarking-Based Machine Learning Model: A Multicenter Retrospective Study from the Italian Society of Surgical Oncology-Colorectal Cancer Network Collaborative Group.
使用基于地标法的机器学习模型对直肠癌复发和死亡率进行动态预测:来自意大利外科肿瘤学会 - 结直肠癌网络协作组的多中心回顾性研究
Cancers (Basel). 2025 Apr 11;17(8):1294. doi: 10.3390/cancers17081294.
放射治疗对远处器官转移的肝细胞癌的疗效
J Oncol. 2021 Nov 17;2021:5190611. doi: 10.1155/2021/5190611. eCollection 2021.
4
Nomogram of conditional survival probability of long-term Survival for Metastatic Colorectal Cancer: A Real-World Data Retrospective Cohort Study from SEER database.转移性结直肠癌长期生存条件生存概率列线图:来自 SEER 数据库的真实世界数据回顾性队列研究。
Int J Surg. 2021 Aug;92:106013. doi: 10.1016/j.ijsu.2021.106013. Epub 2021 Jul 4.
5
Correlation and Survival Analysis of Distant Metastasis Site and Prognosis in Patients With Hepatocellular Carcinoma.肝细胞癌患者远处转移部位与预后的相关性及生存分析
Front Oncol. 2021 May 10;11:652768. doi: 10.3389/fonc.2021.652768. eCollection 2021.
6
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.《全球癌症统计数据 2020:全球 185 个国家和地区 36 种癌症的发病率和死亡率估计》。
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
7
Construction and validation of a nomogram for predicting cancer-specific survival in hepatocellular carcinoma patients.构建和验证用于预测肝癌患者癌症特异性生存的列线图。
Sci Rep. 2020 Dec 7;10(1):21376. doi: 10.1038/s41598-020-78545-2.
8
A practical nomogram and risk stratification system predicting the cancer-specific survival for patients with early hepatocellular carcinoma.用于预测早期肝细胞癌患者癌症特异性生存的实用列线图和风险分层系统。
Cancer Med. 2021 Jan;10(2):496-506. doi: 10.1002/cam4.3613. Epub 2020 Dec 6.
9
New advances in the diagnosis and management of hepatocellular carcinoma.肝细胞癌的诊断与治疗新进展。
BMJ. 2020 Oct 26;371:m3544. doi: 10.1136/bmj.m3544.
10
Conditional relative survival and competing mortality in patients who underwent surgery for lung cancer: A nationwide cohort study.肺癌患者手术后的条件相对生存率和竞争死亡率:一项全国性队列研究。
Int J Cancer. 2021 Feb 1;148(3):626-636. doi: 10.1002/ijc.33239. Epub 2020 Sep 7.