Tape stripped stratum corneum samples are suitable for diagnosis and comprehensive proteomic investigation in mycosis fungoides

Author:

Qureshi Hafsa Anees12ORCID,Azimi Ali123ORCID,Wells Jillian13ORCID,Fernandez‐Penas Pablo123ORCID

Affiliation:

1. Department of Dermatology Westmead Hospital Westmead New South Wales Australia

2. Centre for Cancer Research, The Westmead Institute for Medical Research The University of Sydney Westmead New South Wales Australia

3. Westmead Clinical School, Faculty of Medicine and Health The University of Sydney Westmead New South Wales Australia

Abstract

AbstractBackgroundMycosis Fungoides (MF) is a common cutaneous T‐cell lymphoma. It can sometimes be challenging to diagnose MF using current clinico‐histopathological criteria. Non‐invasive molecular profiling analysis has the potential to aid the diagnosis and understanding of MF.MethodLesional and body site matched normal stratum corneum samples were obtained from the same MF patients (n = 28) using adhesive discs, followed by proteomic analyses using data‐independent acquisition mass spectrometry (DIA‐MS). Differential abundance analyses and bioinformatic analyses were performed to identify differentially abundant proteins and altered biofunctions between the MF and normal stratum corneum samples.ResultsIn total, 1303 proteins were identified, of which 290 proteins were significantly changed in the MF cohort compared to the normal stratum corneum. Ingenuity pathway analysis (IPA) predicted the significant inhibition of cell death of cancer cells and significant activation of immune‐related activities and viral infection in the MF lesions. MF lesions were also associated with upstream regulators relating to immuno‐oncologic dysfunctions. The top‐250 variating proteins efficiently separated normal stratum corneum from matched MF samples.ConclusionNon‐invasive proteomic analysis could transform the diagnosis of MF by reducing the need for invasive biopsy. The identification of altered biological functions may serve as useful biomarkers to predict MF progression.

Publisher

Wiley

Subject

Clinical Biochemistry

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