预测早期发病的局部晚期结肠癌的生存率和预后:一项回顾性观察性研究
Bangquan Chen1,2,3, Yue Ma2,3,4, Jiajie Zhou2,3,4
1Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China.
International journal of colorectal disease
|October 7, 2023
概括
一个新的名图准确地预测了早期发病的局部晚期结肠癌 (LACC) 的癌症特异性生存率. 该工具帮助临床医生对LACC患者进行风险分层和个性化治疗决策.
科学领域:
- 在瘤学瘤学.
- 癌症研究 癌症研究
- 临床预后 临床预后
背景情况:
- 早期发病的局部晚期结肠癌 (LACC) 在预后方面提出了独特的挑战.
- 准确预测癌症特异性生存率 (CSS) 对于有效的治疗计划至关重要.
研究的目的:
- 开发和验证一种新型的名录模型,用于预测早期LACC患者的CSS.
- 建立一个风险分层系统来分类患者的风险水平.
主要方法:
- 从SEER数据库 (2010-2019) 中对LACC案件进行了回顾性分析.
- 早期发病 (≤50岁) 和晚期发病的结肠癌队列的比较.
- 多变量考克斯回归分析以确定显著的预后因素.
- 与AJCC-TNM系统相对应的诺莫格拉姆构建和验证.
主要成果:
- 该研究包括32,855名LACC患者;4,548名 (13.84%) 是早期发病.
- 早期发病的LACC显示出较差的预后指标,但与晚期发病相比,CSS更好.
- 开发的诺米图表在CSS预测方面比AJCC-TNM系统 (0.783比0.728培训;0.852比0.773验证) 显示出更高的准确性.
结论:
- 一种新型的名字图有效地预测了LACC早期发作的CSS.
- 诺姆图表作为一个有价值的工具,用于预后和个性化治疗选择.
- 该系统有助于临床医生为LACC管理做出明智的决定.
相关概念视频
Cancer Survival Analysis
365
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
365
Tumor Progression
6.3K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.3K
Comparing the Survival Analysis of Two or More Groups
206
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
206


