带剥角质层标本适用于蕈样真菌病的诊断和综合蛋白质组学研究。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-05-01 DOI:10.1002/prca.202200039
Hafsa Anees Qureshi, Ali Azimi, Jillian Wells, Pablo Fernandez-Penas
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引用次数: 0

摘要

背景:蕈样真菌病是一种常见的皮肤t细胞淋巴瘤。使用目前的临床-组织病理学标准诊断MF有时具有挑战性。非侵入性分子谱分析有可能有助于MF的诊断和理解。方法:从同一MF患者(n = 28)身上取病变部位和身体部位匹配的正常角质层样本,采用数据独立采集质谱(DIA-MS)进行蛋白质组学分析。进行差异丰度分析和生物信息学分析,以确定MF和正常角质层样品之间差异丰富的蛋白质和改变的生物功能。结果:共鉴定出1303个蛋白,其中有290个蛋白在MF队列中与正常角质层相比发生了显著变化。独创性途径分析(Ingenuity pathway analysis, IPA)预测,在MF病变中,癌细胞的细胞死亡受到显著抑制,免疫相关活性和病毒感染受到显著激活。MF病变也与与免疫肿瘤功能障碍相关的上游调节因子相关。top-250变异蛋白有效地将正常角质层从匹配的MF样品中分离出来。结论:非侵入性蛋白质组学分析可以通过减少侵入性活检来改变MF的诊断。鉴定改变的生物功能可以作为预测MF进展的有用生物标志物。
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Tape stripped stratum corneum samples are suitable for diagnosis and comprehensive proteomic investigation in mycosis fungoides.

Background: Mycosis 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.

Method: Lesional 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.

Results: In 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.

Conclusion: Non-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.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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