Construction of a Nomogram to Predict Overall Survival in Patients with Early-Onset Hepatocellular Carcinoma: A Retrospective Cohort Study.
Construction of a Nomogram to Predict Overall Survival in Patients with Early-Onset Hepatocellular Carcinoma: A Retrospective Cohort Study.
复制标题
拟议图的构建以预测早发肝细胞癌患者的总体生存率：一项回顾性队列研究。
DOI：
10.3390/cancers15225310
复制
发表时间：
2023-11-07
期刊：
影响因子：
5.2
通讯作者：
Wang, Weixing
中科院分区：
文献类型：
--
作者：
Kuang, Tianrui;Ma, Wangbin;Zhang, Jiacheng;Yu, Jia;Deng, Wenhong;Dong, Keshuai;Wang, Weixing
肝细胞癌（HCC）是一个严重的全球健康问题，它越来越危及年轻人。尽管如此，仍然缺乏可用于评估早发性HCC预后的工具。在我们的研究中，我们使用2004年至2018年期间的数据对早发性HCC（EO-LIHC）进行了回顾性分析。我们使用考克斯回归分析确定了独立的风险因素，包括年龄、性别、AFP水平、肿瘤的分级和分期、肿瘤的大小以及患者是否接受手术和化疗等治疗。我们开发了一个预测性列线图来估计EO-LIHC患者的1年、3年和5年生存率，并为这些患者量身定制了一个用户友好的基于网络的生存预测模型。这些发现为EO-LIHC患者的个性化护理和治疗决策提供了有价值的见解。肝细胞癌（HCC）是一种广泛存在且具有影响力的癌症，在全球范围内具有相关影响。虽然大多数HCC病例通常在≥60岁的个体中诊断，但年轻患者中HCC的发生率显著上升。然而，目前缺乏精确的预后模型来预测这些年轻患者的预后。使用2004年至2018年的监测、流行病学和最终结果（SEER）数据库中的数据进行了一项回顾性分析，以调查早发性肝细胞癌（EO-LIHC）。该分析包括来自SEER数据库和我们医院的1392例患者。其中，来自SEER数据库的1287例患者被分配到训练队列（n = 899）和验证队列1（n = 388），而来自我院的105例患者被分配到验证队列2。考克斯回归分析显示年龄、性别、AFP、分级、分期、肿瘤大小、手术和化疗是独立的危险因素。本研究中开发的列线图证明了其基于个体特征预测EO-LIHC患者1年、3年和5年总生存率（OS）的区分能力。此外，还创建并验证了专为EO-LIHC患者定制的基于网络的OS预测模型。总体而言，这些进步有助于改善EO-LIHC患者的决策和个性化护理。
Hepatocellular carcinoma (HCC) is a severe global health concern, and it is increasingly jeopardizing younger individuals. Despite this, there is a lack of available tools for the prognosis estimation of early-onset HCC. In our study, we conducted a retrospective analysis of early-onset HCC (EO-LIHC) using data of the period from 2004 to 2018. We identified independent risk factors using a Cox regression analysis, including age, sex, AFP level, the grading and staging of the tumor, the size of the tumor, and whether the patient was receiving therapy like surgery and chemotherapy. We developed a predictive nomogram to estimate 1-, 3-, and 5-year survival rates of EO-LIHC patients and a user-friendly web-based survival prediction model tailored for these patients. These findings provide valuable insights for personalized care and treatment decisions for individuals with EO-LIHC. Hepatocellular carcinoma (HCC) is a widespread and impactful cancer which has pertinent implications worldwide. Although most cases of HCC are typically diagnosed in individuals aged ≥60 years, there has been a notable rise in the occurrence of HCC among younger patients. However, there is a scarcity of precise prognostic models available for predicting outcomes in these younger patients. A retrospective analysis was conducted to investigate early-onset hepatocellular carcinoma (EO-LIHC) using data from the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2018. The analysis included 1392 patients from the SEER database and our hospital. Among them, 1287 patients from the SEER database were assigned to the training cohort (n = 899) and validation cohort 1 (n = 388), while 105 patients from our hospital were assigned to validation cohort 2. A Cox regression analysis showed that age, sex, AFP, grade, stage, tumor size, surgery, and chemotherapy were independent risk factors. The nomogram developed in this study demonstrated its discriminatory ability to predict the 1-, 3-, and 5-year overall survival (OS) rates in EO-LIHC patients based on individual characteristics. Additionally, a web-based OS prediction model specifically tailored for EO-LIHC patients was created and validated. Overall, these advancements contribute to improved decision-making and personalized care for individuals with EO-LIHC.
登录
查看更多内容
影响因子：
5.2
作者：
He T;Chen T;Liu X;Zhang B;Yue S;Cao J;Zhang G
通讯作者：
Zhang G
影响因子：
4.3
作者：
Tang YY;Zhao YN;Zhang T;Chen ZY;Ma XL
通讯作者：
Ma XL
影响因子：
10.3
作者：
Gupta, Sumit;Harper, Andrew;Fidler-Benaoudia, Miranda M.
通讯作者：
Fidler-Benaoudia, Miranda M.
通过治疗前基于 MRI 放射组学的列线图预测接受 TACE 治疗的 HCC 的肿瘤反应
影响因子：
5.9
作者：
Kong C;Zhao Z;Chen W;Lv X;Shu G;Ye M;Song J;Ying X;Weng Q;Weng W;Fang S;Chen M;Tu J;Ji J
通讯作者：
Ji J
DOI：
10.1016/s1470-2045(14)71116-7
发表时间：
2015-04
期刊：
The Lancet. Oncology
影响因子：
--
作者：
Balachandran VP;Gonen M;Smith JJ;DeMatteo RP
通讯作者：
DeMatteo RP