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全细胞和外泌体样本的比较分析揭示了可分层乳腺癌亚型的蛋白质特征。

Comparative profiling of whole-cell and exosome samples reveals protein signatures that stratify breast cancer subtypes.

机构信息

Polymer Therapeutics Laboratory and Screening Platform, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.

IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.

出版信息

Cell Mol Life Sci. 2024 Aug 22;81(1):363. doi: 10.1007/s00018-024-05403-z.

Abstract

Identifying novel breast cancer biomarkers will improve patient stratification, enhance therapeutic outcomes, and help develop non-invasive diagnostics. We compared the proteomic profiles of whole-cell and exosomal samples of representative breast cancer cell subtypes to evaluate the potential of extracellular vesicles as non-invasive disease biomarkers in liquid biopsies. Overall, differentially-expressed proteins in whole-cell and exosome samples (which included markers for invasion, metastasis, angiogenesis, and drug resistance) effectively discriminated subtypes; furthermore, our results confirmed that the proteomic profile of exosomes reflects breast cancer cell-of-origin, which underscores their potential as disease biomarkers. Our study will contribute to identifying biomarkers that support breast cancer patient stratification and developing novel therapeutic strategies. We include an open, interactive web tool to explore the data as a molecular resource that can explain the role of these protein signatures in breast cancer classification.

摘要

鉴定新的乳腺癌生物标志物将改善患者分层,提高治疗效果,并有助于开发非侵入性诊断方法。我们比较了代表性乳腺癌细胞亚型的全细胞和外泌体样本的蛋白质组学图谱,以评估细胞外囊泡作为液体活检中非侵入性疾病生物标志物的潜力。总的来说,全细胞和外泌体样本中差异表达的蛋白质(包括侵袭、转移、血管生成和耐药性标志物)有效地区分了亚型;此外,我们的结果证实,外泌体的蛋白质组学特征反映了乳腺癌的细胞起源,这突出了它们作为疾病生物标志物的潜力。我们的研究将有助于鉴定支持乳腺癌患者分层和开发新的治疗策略的生物标志物。我们还包括一个开放的交互式网络工具,以探索数据作为一个分子资源,可以解释这些蛋白质特征在乳腺癌分类中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/107c/11342910/30e063591c7d/18_2024_5403_Figa_HTML.jpg

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