Proteome profiling of serum reveals PSMD6 as a biomarker in breast cancer metastasis

Author:

Ding Chen1ORCID,Meng Yue2,Huang Minjing1,Xu Ganfei1ORCID,Li Xinwei2,Gu Bing2

Affiliation:

1. Fudan University

2. Guangdong Provincial People's Hospital

Abstract

Abstract Breast cancer (BC) has the highest mortality rate and prevalence among cancers in females worldwide. Here, we performed proteomic profiling of 322 serum samples from the discovery cohort [56 healthy controls (HCs), 112 benign breast tumor (BBT) patients, and 154 BC patients] and a prospective validation cohort [27 HCs, 29 BBT patients and 57 BC patients]. Integrated proteomic analysis of tissue and serum samples revealed highly specific tumor biomarkers and demonstrated that the serum proteome can distinguish the different pathological substages in BC progression. We also identified PSMD6 as a potential metastatic breast cancer (MBC) biomarker. Comprehensive analysis of the multicenter independent validation cohort, which included retrospective and prospective cohorts including 61 HCs, 72 BBT patients, and 247 BC patients, indicated that PSMD6 overexpression was an important cause of BC metastasis and an indicator of poor prognosis. Further study revealed that the CLTA-PSMD6-neutrophil axis promotes the transition from invasive ductal carcinoma (IDC) to MBC. Importantly, CLTA amplification might be a potential therapeutic target for MBC patients. We also developed a highly accurate predictive model (accuracy = 0.87) to differentiate benign and malignant tumors and validated its good performance in the prospective validation cohort. Collectively, this study demonstrates the elaborate BC serum proteomic landscape and provides valuable information regarding serum biomarkers, which could reveal novel therapeutic targets and provide opportunities for MBC treatment.

Publisher

Research Square Platform LLC

Reference96 articles.

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