An Observational Study of Stromal CD10 Expression in Breast Carcinoma and Its Association with Clinicopathological Parameters at SMS Medical College and Hospital

Author:

Sharma Ankita Kumari,Hemrajani Deepika,Harsh Anita,Pancharia Aruna,Yadav Monika

Abstract

Introduction: Female breast cancer is now more prevalent than lung cancer worldwide, with an estimated 2.3 million new cases worldwide, or 11.7% of all cancer cases. Breast cancer is an epithelial malignancy, but tumor microenvironment i.e. stroma plays remarkable role in invasion and metastasis. The cross talk between tumor cells and stromal cells is critical step in tumor progression as a result there is increased interest in developing novel therapies targeting the microenvironment. Aim and Objectives: To study the frequency and intensity of stromal CD10 expression in invasive breast cancer and to correlate it with various clinicopathological parameters.Materials and Methods: The study was conducted in Department of Pathology at S.M.S. Medical College, Jaipur. CD 10 expression in 70 patients diagnosed with carcinoma breast during the period of 2021-2022, assessed by immunohistochemistry and scored as negative (<10% stromal positivity), weak (10-30% stromal positivity) and strong (>30% stromal positivity) and statistically analyzed with other parameters. Results and Discussion: Out of the 70 cases, 51 (72.86%) showed CD10 positivity in the stroma, with 28 (40%) showing strongly positive and 23 (32.86%) with weakly positive results. With respect to histopathological grade (P value = 0.0234), molecular subtype (P value = 0.0006), and PR negativity (P value = 0.0480), CD10 expression in the stroma showed a positive correlation. Conclusion: The correlation between stromal expression of CD10 and histopathological grade, molecular subtype, and PR negativity was statistically significant. To confirm CD10 expression in invasive breast cancer as a predictor of overall survival rates and disease-free survival, more research is required..

Publisher

EpiSmart Science Vector Ltd

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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