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三阴性乳腺癌中枢神经系统转移生物标志物的蛋白质组学特征分析

Proteomics characterisation of central nervous system metastasis biomarkers in triple negative breast cancer.

作者信息

Rojas L Katerin, Trilla-Fuertes Lucía, Gámez-Pozo Angelo, Chiva Cristina, Sepúlveda Juan, Manso Luis, Prado-Vázquez Guillermo, Zapater-Moros Andrea, López-Vacas Rocío, Ferrer-Gómez María, Mendiola César, Espinosa Enrique, Sabidó Eduard, Ciruelos Eva, Vara Juan Ángel Fresno

机构信息

Department of Medical Oncology, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain.

Katerin L Rojas and Lucía Trilla-Fuertes contributed equally to this work.

出版信息

Ecancermedicalscience. 2019 Jan 15;13:891. doi: 10.3332/ecancer.2019.891. eCollection 2019.

DOI:10.3332/ecancer.2019.891
PMID:30792808
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6369972/
Abstract

BACKGROUND

Breast cancer (BC) is the most frequent tumour in women. Triple negative tumours (TNBC)-which are associated with minor survival rates-lack markers predictive of response to anticancer drugs. Triple negative tumours frequently metastasise to the central nervous system (CNS).

OBJECTIVE

The main objective of this study was to study differences in tumour protein expression between patients with CNS metastases and those without this kind of spread, and propose new biomarkers.

METHODS

A retrospective study was performed. Targeted proteomics and statistical analyses were used to identify possible biomarkers.

RESULTS

Proteins were quantified by a targeted proteomics approach and protein expression data were successfully obtained from 51 triple negative formalin-fixed paraffin-embedded samples. ISG15, THBS1 and AP1M1 were identified as possible biomarkers related with CNS metastasis development.

CONCLUSIONS

Three possible biomarkers associated with CNS metastases in TNBC tumours were identified: ISG15, THBS1 and AP1M1. They may become markers predicting the appearance of CNS infiltration in triple negative BC.

摘要

背景

乳腺癌(BC)是女性中最常见的肿瘤。三阴性肿瘤(TNBC)——与较低生存率相关——缺乏预测对抗癌药物反应的标志物。三阴性肿瘤常转移至中枢神经系统(CNS)。

目的

本研究的主要目的是研究有中枢神经系统转移的患者与无此类转移的患者之间肿瘤蛋白表达的差异,并提出新的生物标志物。

方法

进行了一项回顾性研究。采用靶向蛋白质组学和统计分析来识别可能的生物标志物。

结果

通过靶向蛋白质组学方法对蛋白质进行定量,并成功从51个三阴性福尔马林固定石蜡包埋样本中获得蛋白质表达数据。ISG15、THBS1和AP1M1被鉴定为与中枢神经系统转移发展相关的可能生物标志物。

结论

在三阴性乳腺癌肿瘤中鉴定出三种与中枢神经系统转移相关的可能生物标志物:ISG15、THBS1和AP1M1。它们可能成为预测三阴性乳腺癌中枢神经系统浸润出现的标志物。

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Breast Cancer Res. 2017 Oct 11;19(1):112. doi: 10.1186/s13058-017-0905-7.
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Functional proteomics outlines the complexity of breast cancer molecular subtypes.功能蛋白质组学概述了乳腺癌分子亚型的复杂性。
Sci Rep. 2017 Aug 30;7(1):10100. doi: 10.1038/s41598-017-10493-w.
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Prediction of adjuvant chemotherapy response in triple negative breast cancer with discovery and targeted proteomics.
解析乳腺癌中常见和突变类型特异性关键调控的调控因子与免疫相关模式的综合分析
Front Cell Dev Biol. 2021 Oct 18;9:750897. doi: 10.3389/fcell.2021.750897. eCollection 2021.
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Bioengineered. 2021 Dec;12(1):8259-8278. doi: 10.1080/21655979.2021.1982846.
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Cancer Sci. 2020 Jan;111(1):148-159. doi: 10.1111/cas.14240. Epub 2019 Dec 11.
利用发现型和靶向蛋白质组学预测三阴性乳腺癌的辅助化疗反应
PLoS One. 2017 Jun 8;12(6):e0178296. doi: 10.1371/journal.pone.0178296. eCollection 2017.
4
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Ecancermedicalscience. 2016 Apr 11;10:632. doi: 10.3332/ecancer.2016.632. eCollection 2016.
5
ISG15: A double edged sword in cancer.ISG15:癌症中的一把双刃剑。
Oncoimmunology. 2015 Jun 1;4(12):e1052935. doi: 10.1080/2162402X.2015.1052935. eCollection 2015 Dec.
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