Zinc distribution within breast cancer tissue of different intrinsic subtypes

Author:

Rusch PeterORCID,Hirner Alfred V.,Schmitz Oliver,Kimmig Rainer,Hoffmann Oliver,Diel Maxim

Abstract

Abstract Purpose To show feasibility of laser ablation inductively coupled mass spectrometry (LA-ICPMS) for analysis of zinc content and concentration in breast cancer tissue and to correlate this with validated prognostic and predictive markers, i.e. histological grading and expression of steroid receptors (estrogen receptor, ER; progesterone receptor, PR) and human epidermal growth-factor receptor 2 (Her2). Methods 28 samples of human invasive ductal breast cancer tissue were subclassified into groups of four different intrinsic subtypes according to the expression of ER, PR and Her2 by immunohistological staining and then analyzed for zinc content and distribution by LA-ICPMS applying a calibration technique based on spiked polyacrylamide gels. A correlation of zinc concentration with histological grading and molecular subtypes was analyzed. Results Consistent with results of a pilot-study LA-ICPMS was feasible to show zinc accumulation in cancerous tissue, even more adjacent healthy stroma was with proportional increase of zinc. Zinc levels were most elevated in triple-positive (TPBC) and in triple-negative (TNB) breast cancers. Conclusion LA-ICPMS was feasible to confirm a connection between zinc and grade of malignancy; furthermore, focusing on a correlation of zinc and intrinsic breast cancer subtypes, LA-ICPMS depicted an upwards trend of zinc for “high-risk-cancers” with highest levels in Her2-positive and in triple-negative (TNBC) disease. The currently uncommon alliance of clinicians and analytical chemists in basic research is most promising to exploit the full potential of diagnostic accuracy in the efforts to solve the enigma of breast cancer initiation and course of disease.

Funder

Universitätsklinikum Essen

Publisher

Springer Science and Business Media LLC

Subject

Obstetrics and Gynaecology,General Medicine

Reference78 articles.

1. American Cancer Society (2019) Breast cancer facts and figures 2019–2020. https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/breast-cancer-facts-and-figures/breast-cancer-facts-and-figures-2019-2020.pdf

2. Bethesda, MD: National Cancer Institute (2020) PDQ® Cancer Genetics Editorial Board. PDQ Genetics of Breast and Gynecologic Cancers. https://www.cancer.gov/types/breast/hp/breast-ovarian-genetics-pdq. Accessed 20 Aug 2020. [PMID: 26389210]

3. Yu F, Quan F, Xu J et al (2019) Breast cancer prognosis signature: linking risk stratification to disease subtypes. Brief Bioinf 20:2130–2140. https://doi.org/10.1093/bib/bby073

4. Kurian AW, Antoniou AC, Domchek SM (2016) Refining breast cancer risk stratification: additional genes, additional information. Am Soc Clin Oncol Educ Book 35:44–56. https://doi.org/10.1200/EDBK_158817

5. Yersal O, Barutca S (2014) Biological subtypes of breast cancer: Prognostic and therapeutic implications. World J Clin Oncol 5:412–424. https://doi.org/10.5306/wjco.v5.i3.412

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