Analyzing risk factors for second malignancies in early gastric carcinoma from the SEER database

胃癌 医学 内科学 肿瘤科 数据库 癌症 计算机科学
作者
Lei Song,Fei Zhao,Lijing Zhang,Zhifang Zhao,Long Jin,Zhao Yu,Jin Zhao
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:14 (1)
标识
DOI:10.1038/s41598-024-68776-y
摘要

This retrospective study analyzed a large population of gastric cancer (GC) patients treated between 2010 and 2015 to investigate the clinical features and predictive risk factors for developing secondary primary malignancies (SPMs). The cumulative incidence of SPM was assessed using Kaplan–Meier analysis. Competing risk analyses adjusted for mortality were conducted using stratified Cox proportional hazard regression models and multivariate analyses to identify independent predictors of SPM. A total of 3289 out of 167,747 GC patients were included in the analytic cohort, with 155 patients diagnosed with SPM. Patients whose histologic type other than adenocarcinomas (AC) and signet ring cell carcinoma (SRCC) emerged as an independent risk factor for developing SPM (hazard ratio [HR] 2.262, 95% confidence interval [CI] 1.146–4.465, P = 0.019) in multivariate Cox regression analysis. The surgical method, including biopsy/local excision (HR 2.3, [CI] 1.291–4.095, P = 0.005) and subtotal/total resection ([HR] 1.947, [CI] 1.028–3.687, P = 0.041), chemotherapy ([HR] 1.527, [CI] 1.006–2.316, P = 0.047), and histologic type ([HR] 2.318, [CI] 1.193–4.504, P = 0.013)), were identified as independent risk factors in the competitive risk model. Subgroup analyses, stratified by chemotherapy, revealed an increased risk of SPM among older patients. Furthermore, a nomogram was developed and internally validated to predict the cumulative incidence of SPM in GC patients (C-index = 0.73 for 72 months). These findings suggested that in specific histologic types of GC, the lymph node infiltration region missed after local surgical resection, and concomitant chemotherapy would have an increased risk of SPM for cancer survivors.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
joshar完成签到,获得积分10
刚刚
1秒前
新宇星辰完成签到,获得积分10
1秒前
1秒前
我爱科学完成签到,获得积分20
3秒前
科研通AI6.2应助知有采纳,获得10
3秒前
4秒前
Ning关注了科研通微信公众号
5秒前
6秒前
郝宇完成签到,获得积分10
6秒前
6秒前
汉堡包应助奋斗蝴蝶采纳,获得10
7秒前
7秒前
7秒前
做梦的南瓜完成签到,获得积分10
7秒前
精明慕青发布了新的文献求助10
8秒前
9秒前
9秒前
Aura完成签到,获得积分10
9秒前
10秒前
10秒前
cdercder应助爱吃蛋挞采纳,获得20
10秒前
杨德帅发布了新的文献求助10
11秒前
林新宇完成签到,获得积分10
11秒前
llls发布了新的文献求助10
12秒前
灌灌灌灌发布了新的文献求助10
12秒前
13秒前
xc发布了新的文献求助10
13秒前
123发布了新的文献求助10
13秒前
13秒前
14秒前
15秒前
16秒前
memory发布了新的文献求助20
16秒前
牧长一完成签到 ,获得积分0
16秒前
kk完成签到,获得积分10
16秒前
17秒前
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7770504
求助须知:如何正确求助?哪些是违规求助? 9313481
关于积分的说明 20333874
捐赠科研通 7355896
什么是DOI,文献DOI怎么找? 3316448
关于科研通互助平台的介绍 2465116
邀请新用户注册赠送积分活动 2331269