Endometriyal Kanserde Delta Nötrofil İndeksinin Öngörücü Potansiyeli: Tanı için Yeni Bir Biyobelirteç

Author:

KOSE Caner1ORCID,KÖRPE Büşra1ORCID,KORKMAZ Vakkas1ORCID,USTUN Yaprak2ORCID

Affiliation:

1. Ankara Etlik City Hospital

2. UNIVERSITY OF HEALTH SCIENCES, ANKARA ETLİK ZÜBEYDE HANIM HEALTH RESEARCH CENTER FOR GYNECOLOGICAL DISEASES

Abstract

Aim: This study aimed to explore the potential of delta neutrophil index (DNI) as a predictive biomarker for the development of endometrial cancer (EC) in women with endometrial intraepithelial neoplasia (EIN). Material and Methods: This retrospective study included 139 women diagnosed with EIN who underwent surgery between 2019 and 2022. Demographic data, medical history, and laboratory parameters, including DNI, were collected from the patients' medical records. Patients with other types of cancer, a history of steroid use, inflammatory, hematologic, or autoimmune diseases, or missing data were excluded. The patients' pathology reports were reviewed, and patients were divided into three groups by the final pathological diagnosis, benign (n=64), EIN (n=66), and EC (n=39). Results: The mean DNI level of the EC group was found to be significantly higher than the EIN and benign groups (4.85±2.31, 2.31±0.89, 1.48±1.03, p<0.001, respectively). The optimal cut-off value of DNI was determined as 2.75% with 82.1% sensitivity and 73.8% specificity. DNI levels >2.75% were found to be associated with an 11.56-fold (95% CI: 4-59-29.09, p<0.001) increased risk of EC. Smoking and postmenopausal status were also identified as independent risk factors for EC. Patients with smoking had a 4.13-fold (95% CI: 1.54-11.01, p=0.005), and postmenopausal status had a 2.8-fold (95% CI: 1.87-9.04, p=0.034) increased risk of EC. Conclusion: The results of this study suggest that DNI may be a useful biomarker for predicting the risk of EC. The results also confirm that smoking and postmenopausal status are independent risk factors for EC.

Publisher

Duzce Medical Journal

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3