早期乳腺癌:组织学亚型 (管道与叶片) 是否影响5年整体存活率?
Fatima Mubarak1, Gabrielle Kowkabany2, Reed Popp3
1The Aga Khan University Medical College, Stadium Road, P.O. Box 3500, Karachi 74800, Sindh, Pakistan.
Cancers
|April 27, 2024
概括
组织学,特别是侵袭性导管癌 (IDC) 与侵袭性叶状癌 (ILC),对早期乳腺癌患者的5年整体存活率没有显著影响. 其他因素,如种族和瘤亚型影响了生存结果.
科学领域:
- 在瘤学瘤学.
- 病理学 病理学 病理学
- 流行病学 流行病学
背景情况:
- 乳腺癌组织学,包括侵袭性导管癌 (IDC) 和侵袭性叶状癌 (ILC),对于了解疾病行为至关重要.
- 以前的研究表明,IDC和ILC之间的临床表现和结果可能存在差异.
- 组织学对早期乳腺癌整体存活率 (OS) 的影响需要进一步阐明.
研究的目的:
- 研究乳腺癌组织学 (IDC与ILC) 与早期患者的整体存活率 (OS) 之间的关联.
- 确定影响OS的人口和临床因素在早期乳腺癌患者的大队伍中.
- 根据瘤特征评估治疗方式对OS的影响.
主要方法:
- 从国家癌症数据库回顾分析了2004-2019年间诊断的11,085名早期 (T1-T2,节点阴性,非转移性) 乳腺癌患者.
- 卡普兰-梅尔曲线,日志级别测试和考克斯回归模型被用来评估OS.
- 对IDC和ILC之间的OS进行比较,并根据相关的临床和人口学变量进行调整.
主要成果:
- 在IDC (16.8%) 和ILC (16.7%) 患者 (p = 0.200) 之间没有观察到5年生存期的统计学上显著差异.
- 与IDC患者相比,ILC患者更有可能是年长的,白人,年级较低,和激素受体阳性.
- 西班牙裔和非裔美国患者的生存率更差. 化疗对节点阳性,HER2+和三阴性疾病的OS产生了积极的影响.
结论:
- 乳腺癌组织学 (IDC与ILC) 在早期,结节阴性,非转移性疾病中不会显著影响5年的OS.
- 种族差异和特定的瘤亚型 (HER2+,三阴) 是OS的重要预测因素.
- 化疗对特定的高风险早期乳腺癌亚组显示出生存益处.
更多相关视频
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
9.0K
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
259
相关概念视频
Cancer Survival Analysis
345
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...
345
Comparing the Survival Analysis of Two or More Groups
178
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...
178
