相关实验视频

Updated: Jun 21, 2025

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

Published on: March 14, 2019

与CA125结合的炎症标志物可以预测子宫内膜癌的术后存活率

Hongxing Lin¹, Wenhui Zhong¹, Liying Zhong²

¹Department of Blood Transfusion, Fujian Maternity and Child Health Hospital, Fuzhou, People's Republic of Chin.

Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology

|July 8, 2024

概括

对子宫内膜癌 (EC) 的预后具有挑战性. 低血小板分布宽度 (PDW) 和高癌症抗原125 (CA125) 水平的组合可能预测EC患者的生存率更差.

科学领域:

妇科瘤学妇科瘤学
癌症生物标志物癌症生物标志物
血液学血液学血液学

背景情况:

由于其高潜伏期,子宫内膜癌 (EC) 的预后很困难.
癌症抗原125 (CA125) 缺乏作为EC瘤标记物的特异性.
全血清 (CBC) 炎症标志物在各种癌症中显示出预后价值.

研究的目的:

为了评估CBC炎症标志物与CA125结合在子宫内膜癌中的预后价值.
确定这些标记物与EC分期和预后之间的关联.

主要方法:

招募了517名EC患者 (2015年1月至2022年1月).
评估了临床特征,CBC炎症标志物和CA125水平.
分析了EC阶段的标记差异及其对预后的影响.

主要成果:

先进的EC显示较低的血小板分布宽度 (PDW) 和更高的全身免疫炎症指数 (SII),中性粒细胞与淋巴细胞的比率 (NLR),单细胞与淋巴细胞的比率 (MLR),血小板与淋巴细胞的比率 (PLR) 和CA125.5.
降低PDW和增加CA125是EC分期进展的独立风险因素.
低PDW和高CA125的综合得分独立预测了EC患者的整体存活率较差.

结论:

PDW和CA125的组合可以作为EC中术后整体存活期的独立预后因素.
这种综合得分可以成为预测EC患者预后的有用标记.

关键词:

癌症抗原125 癌症抗原125 这是子宫内膜癌的癌症.血小板分布的宽度血小板分布的宽度

更多相关视频

An Orthotopic Endometrial Cancer Model with Retroperitoneal Lymphadenopathy Made From In Vivo Propagated and Cultured VX2 Cells

An Orthotopic Endometrial Cancer Model with Retroperitoneal Lymphadenopathy Made From In Vivo Propagated and Cultured VX2 Cells

Published on: September 12, 2019

Multiplexed Fluorescent Immunohistochemical Staining of Four Endometrial Immune Cell Types in Recurrent Miscarriage

Multiplexed Fluorescent Immunohistochemical Staining of Four Endometrial Immune Cell Types in Recurrent Miscarriage

Published on: August 4, 2021

相关概念视频

Cancer Survival Analysis

Cancer Survival Analysis

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...